What Machine Learning Engineer Jobs are in Mumbai?

About the Role Our client, a leader in the AI & Emerging Technologies sector, is seeking a highly skilled and motivated Senior Machine Learning Engineer to join their innovative team in Mumbai, Maharashtra . This role offers a unique opportunity to work on cutting-edge deep learning models and contribute to groundbreaking AI solutions that are shaping the future. You will be instrumental in developing, deploying, and optimizing complex machine learning systems, pushing the boundaries of what's possible in artificial intelligence. The ideal candidate will have a strong theoretical understanding of ML algorithms coupled with practical experience in building scalable, production-ready models. This position is perfect for an individual passionate about solving challenging problems and driving technological advancements within a dynamic and collaborative environment. Key Responsibilities

• Design, develop, and implement state-of-the-art deep learning models for various applications, including computer vision, natural language processing, and predictive analytics.
• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements and deliver impactful AI solutions.
• Conduct rigorous experimentation, hyperparameter tuning, and model evaluation to ensure optimal performance and accuracy.
• Develop and maintain robust data pipelines for training and inference, ensuring data quality and integrity.
• Deploy machine learning models into production environments, leveraging cloud platforms and MLOps best practices.
• Stay abreast of the latest research and advancements in machine learning and artificial intelligence, applying new techniques to enhance existing systems and explore novel approaches.
• Mentor junior engineers and contribute to the team's technical growth and knowledge sharing.
• Optimize model performance for efficiency and scalability, considering computational resources and latency requirements.

Requirements

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven experience (5+ years) as a Machine Learning Engineer or in a similar role, with a strong portfolio of deployed deep learning projects.
• Proficiency in Python and popular ML frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of machine learning algorithms, statistical modeling, and data mining techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and their associated ML services.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and database management.
• Excellent problem-solving and analytical skills, with a keen attention to detail.
• Strong communication and collaboration abilities, with the capacity to articulate complex technical concepts clearly.
• Experience with MLOps tools and practices for model deployment and monitoring is highly desirable.

Benefits Our client offers a competitive compensation package, including an attractive salary and comprehensive benefits. Employees will have access to continuous learning and development opportunities, including workshops, conferences, and advanced training programs in AI and related fields. The company fosters a supportive and inclusive work environment, encouraging innovation and professional growth. This role provides exposure to challenging and rewarding projects, allowing you to make a significant impact in the rapidly evolving world of AI. Additionally, access to state-of-the-art technology and research facilities is provided, enabling you to stay at the forefront of technological advancements. Employees will also benefit from a flexible work environment designed to promote work-life balance. Regular team-building activities and a vibrant office culture in Mumbai further enhance the employee experience.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Director, Data Scientist
Director of Data Science
Lead and scale high-impact Data Science initiatives driving Open Finance and AI-led products. Own end-to-end delivery of production-grade ML/LLM solutions, partnering closely with Product and Engineering to balance accuracy, scalability, and business impact.
* Drive strategy and execution of data science solutions across global markets
* Lead, mentor, and grow a high-performing DS team
* Deliver scalable, production-ready models and pipelines
* Align with Product/Engineering on tradeoffs and roadmap priorities
* Communicate outcomes and influence senior stakeholders
Requirements:
* 10+ years in Data Science/ML, strong leadership experience, proven track record delivering production AI/ML systems, deep expertise in modeling and scalable DS platforms.
Preferred:
* NLP expertise (including MPNet), experience with large-scale global models.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Description
About the Role: AWS seeks a Senior AI Specialist Sales professional to drive adoption of AWS's full stack AI services across ISV/DNB sectors. This individual contributor role requires deep AI/ML expertise, executive presence, and proven sales success. You'll engage C-level executives (CEOs, CTOs, CAIOs, CFOs, line of business owners) to accelerate Generative AI and Agentic AI adoption, bridging business strategy with technical implementation.
Key requirement: Ability to engage with CEO/LOB owners for strategic conversations to leverage AI for business transformation, as well as with CTO/CAIO for AI-implementation linked technical architecture conversations. AI specialist solution architects will support for Level 300+ deep dives.
Key job responsibilities
Engage C-suite executives to drive AWS AI services adoption: CEOs (business transformation), CTOs/CAIOs (technical architecture), CFOs (ROI models), line of business owners (use cases). Lead AI-focussed Executive Briefing Centers, board presentations, and strategic planning workshops.
Drive adoption of AWS full stack AI services (incl., but not limited to Amazon Bedrock, SageMaker, Amazon Q, Trainium / Inferentia etc.). Focus on Generative AI and Agentic AI as priority areas. Articulate business value from infrastructure (custom silicon) to applications; and position AWS AI services differentiation across aspects of model choice, security, cost optimization, responsible AI etc.
Solution Design & Sales Execution: Structure C-suite conversations on business outcomes that can be delivered using AI. Identify high-value industry-aligned use cases. Develop compelling business cases with quantified ROI and time-to-value. Own revenue targets for AI/ML services for assigned territories. Manage end-to-end sales cycles. Lead POCs and pilots demonstrating AWS AI services
Thought Leadership: Represent AWS at industry-aligned events. Develop executive presentations, thought leadership and case studies. Provide market insights to inform AWS product roadmaps
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic Qualifications
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Experience engaging and influencing C-level executives, both business and technical
- Experience exceeding sales targets using a consultative, solutions-focused approach or equivalent
- Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits), or experience communicating results to senior leadership
- Work experience: 10+ years sales or pre-sales experience in Data/Analytics/AI-ML/Digital Transformation in ISV/DNB sector with last couple of years in AI aligned roles.
- Technical Expertise: Proven experience in sales and/or practitioner roles across end-to-end AI value chain incl. LLMs, foundation models, RAG, model fine-tuning, ML Ops and AI infrastructure (GPUs, custom silicon and accelerated compute).
- Strong communication skills (simplify complex AI concepts for diverse audiences).
Preferred Qualifications
- MBA, or Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- AWS certification
- Experience working as AI Practice lead or AI Solution Lead.
- Work experience in ISV/DNB sector with Hyperscalers, Strategy Consulting, Technology consulting arm of Big 4, AI consulting/services firms, GSIs, GCCs, ISVs.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Partner Forward Deployed Engineer, Generative AI, Google Cloud
_corporate_fare_ Google _place_ Mumbai, Maharashtra, India; Bengaluru, Karnataka, India
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mumbai, Maharashtra, India; Bengaluru, Karnataka, India** .
**Minimum qualifications:**
+ Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
+ 8 years of experience in cloud computing or a technical customer-facing role.
+ Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., GCP).
+ Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
+ Experience leading technical discovery sessions.
**Preferred qualifications:**
+ Master's degree or PhD in AI, Computer Science, or a related technical field.
+ Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
+ Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
**About the job**
As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. You will function as an "innovator-builder," moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management challenges that prevent AI from reaching enterprise-grade maturity. You serve will a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud's future product roadmap.
It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours.
**Responsibilities**
+ Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI).
+ Architect and code the "connective tissue" between Google's AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of an expert team.
+ Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
+ Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
+ Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

Title: AI Adoption & HR/ Change Management/ Workforce Transformation Consultant

Location: Mumbai/ Bangalore

JOB SUMMARY

AI Adoption & Workforce Transformation – plays a critical role in helping organisations reimagine the future of work through the application of agentic AI.

This role is focused on guiding clients through end-to-end workforce transformation journeys — from redefining how work is structured, to embedding AI-powered ways of working at scale. The individual will work closely with senior stakeholders to redesign workflows, uplift workforce capabilities, and drive meaningful adoption of AI tools across the enterprise.

Blending expertise from change management, learning, communications, and transformation, the AI Adoption & Workforce Transformation Senior Manager will design and deliver impactful experiences that help organisations transition from traditional work models to AI-enabled, human-centric operating models.

What we are looking for:

Change Management leaders with strong AI Adoption or workforce transformation expertise having proven success in large scale adoption of Copilot or an enterprise SaaS products

Excellent communicators with strong hold on comms artifacts (like emails, newsletters town halls), engaging with people. They also need to be well versed with artifacts like:

1. Change impact analysis
2. Training needs analysis
3. Change plan / strategy
4. People transformation strategy
5. User guides

ROLES AND RESPONSIBILITIES

• Strategic Transformation Leadership:
• Lead client engagements focused on reimagining work, identifying opportunities to redesign roles, workflows, and operating models using agentic AI.
• Adoption & Change Strategy:
• Design and implement comprehensive adoption strategies to embed AI tools into daily workflows, ensuring sustained behaviour change and measurable impact.
• Workforce Redesign:
• Facilitate workshops and working sessions to help clients rethink how work gets done — shifting from task-based execution to AI-augmented, outcome-driven models.
• Client Engagement & Storytelling:
• Translate complex AI capabilities into clear, compelling narratives for business leaders and employees, enabling understanding and buy-in.
• Learning & Capability Building:
• Develop and deliver training, enablement programs, and experiential learning journeys to equip employees with the skills needed for the future of work.
• Program Delivery:
• Lead large-scale transformation initiatives across multiple stakeholders, ensuring alignment, momentum, and delivery of business outcomes.
• Innovation & Continuous Improvement:
• Continuously refine methodologies, frameworks, and playbooks for workforce transformation and AI adoption.

MANDATORY SKILLS

• Strong experience in organizational change, transformation, or workforce enablement
• Ability to facilitate senior-level workshops and drive strategic discussions
• Exceptional storytelling and communication skills
• Experience designing and delivering learning or adoption programs
• Strong stakeholder management across business and technology teams
• Ability to translate emerging technologies (especially AI) into business value
• High adaptability in fast-paced, ambiguous environments
• Experience in industry, consulting or large-scale enterprise transformation is a plus

Ideal Candidate Profile

• A seasoned professional a technology vertical in a consulting company driving large scale tech transformations & adoption

**Calling all innovators - find your future at Fiserv.**
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants, and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
**Job Title**
Data Engineer
**Role Overview :**
We are seeking a skilled and motivated Data Engineer to join our team. In this role, you will collaborate closely with data scientists and analysts to build and maintain robust, scalable data pipelines. You will play a key role in ensuring data quality, integrity, and accessibility across the organization.
**What** **you will** **do:**
Collaborate with data scientists to design, implement, and maintain scalable data pipelines.
Ingest and integrate data from diverse sources, ensuring accuracy and consistency.
Clean, transform, and prepare data for analytical and reporting purposes.
Ensure data integrity, security, and compliance throughout the data lifecycle.
Automate workflows and production pipelines to improve operational efficiency.
**What you will need to have:**
2-4 years of experience in data engineering or a related field.
Proficiency in SQL and Python.
Experience with PySpark, AWS, and Snowflake is a strong plus.
Strong analytical and problem-solving skills.
Ability to work independently and manage multiple priorities with minimal supervision
Excellent data validation and quality assurance skills.
**What would be good to have:**
 Strong communication and collaboration skills.
Passion for data and continuous learning.
Thank you for considering employment with Fiserv. Please:
+ Apply using your legal name
+ Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).
**Our commitment to Diversity and Inclusion:**
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
**Note to agencies:**
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
**Warning about fake job posts:**
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.

WSP India is currently seeking **Data Engineer** for Australia Mining team. They shall be responsible for supporting our AU business through GCC. This role is responsible for designing, building, and maintaining the data engineering layer of our **Microsoft Fabric** platform. The Data Engineer will own the end-to-end data pipeline lifecycle - from ingesting raw data out of engineering and construction tools through to delivering clean, modelled, AI-ready datasets that power reporting, dashboards, and decision-making across the business.
This is a **greenfield opportunity** - the successful candidate will be instrumental in shaping the platform from the ground up, making foundational decisions on standards, and patterns that will scale across the organisation. We are looking for someone who takes **genuine ownership** , thrives in ambiguity, and is energised by the challenge of building something from scratch rather than maintaining an existing setup.
WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come.
With approximately **4,000 talented people** across 3 locations (Noida, Bengaluru & Mumbai offices) in India and more than **73,000 globally** , in 550 **offices across 40 countries** , we engineer projects that will help societies grow for lifetimes to come.
At "WSP" we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Unified under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones: **Our People, Our Clients, Our Operational Excellence and Our Expertise.**
** are**
+ Passionate people doing purposeful and sustainable work that helps shape our communities and the future.
+ A collaborative team that thrives on challenges and unconventional thinking.
+ A network of experts channeling our curiosity into creating solutions for complex issues.
**_Inspired by diversity, driven by inclusion, we work with passion and purpose._**
**Working with Us**
At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.
**Our Hybrid Working Module**
With us, you can operate in a flexible, agile, yet structured work environment and follow a Hybrid Work Model.
+ Maximize collaboration.
+ Maintain product quality and cultural integrity.
+ Balance community, collaboration, opportunity, productivity, and efficiency.
**Health, Safety and Wellbeing**
Our people are our greatest asset, and we prioritize a safe work environment. Health, safety, and wellbeing are integral to our culture, with each of us accountable for fostering a safe workplace through our "Making Health and Safety Personal" initiative. Our Zero Harm Vision drives us to reduce risks through innovative solutions, earning recognition for our global health and safety practices with the prestigious RoSPA Health and Safety Awards for six consecutive years.
**Inclusivity and Diversity**
WSP India is dedicated to fostering a sustainable and inclusive work environment where our greatest strength - Our People -feel valued, respected, and supported. We ensure an unbiased approach in hiring, promotion, and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background.
**Imagine a better future for you and a better future for us all.**
Join our close-knit community of over 73,300 talented global professionals dedicated to making a positive impact. Together, we can make a difference in communities both near and far.
**With us, you can.**
**Apply today.**
**NOTICE TO THIRD PARTY AGENCIES:**
_WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation - no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service._
+ Build and maintain Data Factory pipelines for API-based data ingestion (REST, OData).
+ Develop Python ETL scripts for custom extraction, API polling, and file ingestion.
+ Develop and maintain Spark/Python notebooks (Python/PySpark) and SQL-based transformation logic.
+ Create Dataflows Gen2 (Power Query) for handling Excel/CSV-based messy data.
+ Implement incremental loads, watermarking, and CDC patterns.
+ Integrate data from Dataverse and other enterprise sources into Fabric.
+ Own Bronze → Silver transformations (cleansing, deduplication, standardisation)
+ Support Silver → Gold transformations (star schema, fact/dimension modelling)
+ Prepare feature datasets for AI/ML workloads and support notebook-based model development
+ Implement data quality frameworks (validation rules, anomaly detection)
+ Build and optimise Power BI semantic models (Direct Lake)
+ Prepare datasets for reporting and basic analytics use cases.
+ Monitor pipeline performance, platform health, and Fabric capacity (F64+), including cost optimisation.
+ Maintain documentation (data dictionaries, pipeline inventory, architecture decisions)
+ Manage Fabric capacity - pause/resume scheduling, scaling, and cost optimisation
Key Competencies / Skills:
+ Microsoft Fabric - Hands-on with Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Notebooks, OneLake.
+ Python/SQL - Strong experience in ETL scripting, data engineering, transformation logic and notebook development.
+ Working knowledge of file formats, partitioning strategies, ACID transactions, schema evolution
+ Power BI - Semantic Model Creation, DAX fundamentals, Direct Lake mode configuration.
+ Star Schema Design - Fact/dimension modelling, slowly changing dimensions (SCD), aggregation patterns.
+ Data Factory / ETL - Pipeline design, REST/OData connectors, incremental loads, error handling.
+ Git / CI/CD - Version control practices, Fabric deployment pipelines, Azure DevOps integration.
+ Must be able to prioritize, multitask as well as work independently.
+ Must be able to maintain quality of work and at the same time meet multiple deadlines.
+ Excellent interpersonal skills cum responsiveness to others
+ Strong technical skills which demonstrate the ability to implement and maintain an enterprise level reporting solution.
Desirable:
+ Experience with Microsoft Dataverse and Power Apps integration
+ Familiarity with Microsoft Purview for governance and cataloguing
+ Understanding of the EPCM project lifecycle - feasibility through construction and commissioning
+ Experience with Agile / iterative delivery in small, cross-functional teams
+ Experience working in enterprise environments, particularly in the engineering and construction sector
+ Exposure to project controls data - schedules (P6/MSP), cost systems, document management, EVM.
+ Must have minimum 7-10 years of experience with
+ Microsoft Fabric certification - DP 600, DP700s would be advantageous.
BGV:
+ Employment with WSP India is subject to the successful completion of a background verification ("BGV") check conducted by a third-party agency appointed by WSP India.
+ Candidates are advised to ensure that all information provided during the recruitment process - including documents uploaded - is accurate and complete, both to WSP India and its BGV partner".

AI Outcome Customer Engineer, FDE, Google Cloud
_corporate_fare_ Google _place_ Mumbai, Maharashtra, India; Bengaluru, Karnataka, India
**Advanced**
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
_info_outline_
XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mumbai, Maharashtra, India; Bengaluru, Karnataka, India** .
**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 10 years of experience troubleshooting technical issues for internal/external partners or customers.
+ Experience leading technical delivery strategies, debugging systems, and interfacing with product/engineering organizations.
+ Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.
+ Experience reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript, etc.).
+ Experience in system design or orchestration frameworks.
**Preferred qualifications:**
+ Experience orchestrating specialized technical resources to execute complex builds.
+ Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
+ Ability to dive deep into novel technical problems, decipher extreme ambiguity, diagnose bugs, and emerge with credible architectural solutions.
+ Excellent executive communication skills, capable of translating deep technical integration issues into business impact.
**About the job**
The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.
As an AI Outcome Customer Engineer, Forward Deployed Engineering (FDE) you will embed with strategic customers to drive the adoption of Google Cloud enterprise AI products, acting as a trusted advisor to customer stakeholders, partners, and internal product and engineering teams. You will develop, manage, and execute the AI deployment plan, by providing technical leadership, applying skills in enterprise architecture, consultative delivery, applied artificial intelligence engineering, and AI solution engineering. You will have a direct impact on the velocity of customer adoption and business outcomes realized through the successful deployment of enterprise AI solutions and use cases. You will blend delivery expertise, market and industry knowledge, technical implementation, and technical project leadership to realize the value of Google Cloud AI with strategic customers.
Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
**Responsibilities**
+ Partner with Account teams and practice Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
+ Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
+ Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
+ Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
+ Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( .
If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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**Who We Are**
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
**The Role**
Kyndryl Consult is the fastest growing business within the organization and instrumental to the company's strategic growth objectives. You will play a key leadership role across multi-disciplinary teams, guiding them through complex consulting engagements and be responsible for creating and positioning strategic change agendas within Kyndryl's largest accounts across the C-suite, spanning the intersection between complex Business and IT customer solutions, transformations that impact across the entire customer Eco-system.
As a Data & AI Consult Partner, you will have a pivotal role in driving profitable growth, leveraging our comprehensive capabilities to build strong client relationships, and leading your team to success. This role demands a strong presence, industry expertise, and the ability to cultivate relationships with CXO-level clients. Your leadership will be critical in fostering talent development and innovation within the organization.
This role of will also be leading the overall client engagement and delivering high quality client work alongside senior client stakeholders. Working in a transaction environment which may be pre or post deal, planning post deal implementation, and ultimately supporting execution. Partners will be focused on financial impact, utilization and contribution, client impact and leadership.
Contribute to Profitable Growth:
-Drive significant financial outcomes through signings and revenue targets
-Ensure sustained growth and profitability, managing margin expectations and backlog growth
-Support the identification, pursuit and conversion of a pipeline of business development opportunities
-Undertake scoping and fee negotiation on engagements, while enduring profitability and understanding and containing risk
Client Engagement:
-Build and maintain deep relationships with client CXOs and be seen as the 'go to' person and a trusted advisor by senior executives
-Leading C-level client interactions and consulting initiatives, deliverables and outputs of a deal engagement
-Demonstrate credibility and experience to advise and deliver on complex consulting engagement
-Enhance client satisfaction, as measured by Net Promoter Score (NPS) and new relationship development; Secure client references
Operational Excellence:
-Achieve individual and team utilization targets
-Lead the design of complex engagements and take responsibility for oversight of delivery, ensuring high performance and customer satisfaction
Leadership, Management, People
-Lead by example; Fostering a culture of continuous personal and professional development and challenging our people to be curious and innovative and supportive for each other. At the same time ensuring that all outcomes are commercially focused, value adding and effectively executed
Strategic Contribution:
-Utilize industry and technology expertise to shape and drive the company's strategic initiatives.
-Align with Kyndryl's strategic vision and contribute to its execution.
-Drive external eminence and innovation, establishing a strong personal and organizational brand in the industry.
-Proactively develop thought leadership and intellectual capital
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Skills and Experience
-15+ yrs of Extensive experience in client engagement and relationship management at the CXO level in area of Data and AI
-Demonstrable ability to build and commercialize relationships with senior executives
-Proven track record of leading and executing complex projects with multi-disciplinary teams in a Data & AI consulting, corporate or public sector environment
-Effective financial acumen with experience in driving revenue growth and managing margins
-Experience of managing or supporting high-value business development activities with senior stakeholders
-Deep understanding of Data and AI industry trends and technology
-Sound personal brand and presence in the industry
-Demonstrated ability to innovate and drive change
Preferred Skills and Experience
-Leadership: self-starter mindset and with client and Kyndryl outcomes top of mind. Ability to mentor and mentee, create an environment and workplace of choice for peers and team members, be the role model of professional excellence
-Execution: Possesses critical thinking capabilities to analyze data and inputs with objectivity and provide strategic roadmaps and recommendations. Always intellectually curious an brings innovative ideas to solve critical business problems. Clearly accountable on commitments. Able to pivot change in client and business priorities and manage work across multiple projects and teams
-Bachelor's degree or Master's degree
**Being You**
The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.
**What You Can Expect**
Your career with us isn't just a job-it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute-you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here-and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.