15,384 AI & Emerging Technologies jobs in India

About **Zscaler**
Serving thousands of enterprise customers around the world including 45% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world's largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler.
Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.
We're looking for an experienced Sr. Staff Machine Learning Engineer to join our Digital Experience team. This role is critical to shape the next generation of Digital Experience with world class tools to identify the insights, root causes, and also enable the agentic AI functionalities. Reporting to the Senior Manager, Machine Learning Engineering, you'll be responsible for:
+ Framing high-impact use cases, design agent workflows (tool use, planning, memory, context), and build the frameworks for all the products
+ Evaluating and integrating advances in LLMs/SLMs, retrieval, fine-tuning, and inference optimization to deliver reliable, cost-efficient production features
+ Designing, implementing, and operating microservices that are observable, resilient, and performant (APIs, data pipelines, orchestration, caching)
+ Working with Product, UX, and customers to turn ambiguous problems into measurable wins-clear SLAs, telemetry, and feedback loops
**What We're Looking for (Minimum Qualifications)**
+ BS in Computer Science (or related) with 7+ years, or MS/PhD in Computer Science (or related) with 6+ years of experience in solving real world problems leveraging AI/ML and distributed systems
+ Exceptional problem-solving skills driven by first-principles thinking, applying expertise in programming, data structures, algorithms, and machine learning
+ Proven experience in the full ML model lifecycle- building, deployment, monitoring, and optimization
+ Hands-on with modern GenAI stacks (e.g., LangChain/LangGraph, CrewAI, vector stores, RAG, prompts/memory, evaluators)
+ Proven experience designing and operating distributed microservices (Kubernetes/Docker, CI/CD, observability; AWS/GCP/Azure) and writing production-grade code in Python, Go, or Java
**What Will Make You Stand Out (Preferred Qualifications)**
+ Experience fine-tuning and serving proprietary SLMs/LLMs at scale (latency, cost, safety, evals)
+ Prior delivery of agentic systems in production, including context engineering and memory management strategies
+ Track record building high-throughput, fault-tolerant systems with clear SLOs
#LI-AN4
#LI-Hybrid
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
+ Various health plans
+ Time off plans for vacation and sick time
+ Parental leave options
+ Retirement options
+ Education reimbursement
+ In-office perks, and more!
Learn more about Zscaler's Future of Work strategy, hybrid working model, and benefits here ( .
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. _See more information by clicking on the_ Know Your Rights: Workplace Discrimination is Illegal ( _link._
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

**We help the world run better**
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
**What You'll Do:**
We are especially interested in candidates with experience in Artificial Intelligence technologies, including working with large language models (LLMs), generative AI (GenAI), and the ability to develop and operationalize AI capabilities using SAP AI Core.
+ As an AI Senior Developer in the Service Cloud team, the primary responsibility will be to develop product features within the Service portfolio, integrating AI-driven solutions, and helping the team deliver services on the cloud-native stack on a continuous basis.
+ You will work with a highly motivated and talented set of colleagues. You will:
+ Be a motivated, self-starter who can operate with minimal handholding.
+ Translate business requirements into scalable and performant technical solutions.
+ Design, code, test, and assure the quality of complex AI-powered product features within our Customer Experience & Service portfolio.
+ Contribute to the integration of AI-powered capabilities into SAP CX solutions using **SAP AI Core** and LLMs.
+ Build intelligent, adaptive services using generative AI to enhance service workflows and customer interactions.
+ Collaborate across teams and time zones, demonstrating flexibility and accountability
**What You Bring:**
+ 8 years of software engineering experience, with significant exposure to building products on the cloud-native stack.
+ Strong knowledge of Computer Science fundamentals.
+ Proficiency in Java; Spring Boot experience preferred.
+ Familiarity with JavaScript; experience with Angular or ABAP is a plus.
+ Hands-on experience with Git and CI/CD pipelines.
+ Proven track record of writing production-grade code for enterprise-scale systems.
+ Experience with SQL databases; knowledge of NoSQL and event streaming (e.g., Kafka) is a bonus.
+ Experience working with LLMs and generative AI frameworks (e.g., OpenAI, Hugging Face, etc.).
+ Demonstrated ability to build or integrate AI-driven features into enterprise applications.
+ Experience with SAP software (e.g., SAP S/4HANA, SAP Business Technology Platform) is an asset.
+ Knowledge of Agentic AI and frameworks
+ Strong collaboration and communication skills.
+ Experience using tools like JIRA for tracking tasks and bugs
**Meet your Team**
The team primarily works on SAP Sales Cloud - Sales and Retail Execution topics.The topics include Sales Order, Sales Quote, Sales Contract, Survey, Perfect Store, Pricing, Library Management, Product Lists.Solution also integrates with core processes of SAP Sales Cloud and SAP S/4 HANA. Solution will be developed using event driven microservice architecture involving open source technologies and components like Java, Angular, K8s, Kafka, MongoDB, Elastic Search
#SAPInternalT3
**Bring out your best**
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.
**We win with inclusion**
SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.
SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team:
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy ( . Specific conditions may apply for roles in Vocational Training.
**EOE AA M/F/Vet/Disability:**
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.
Successful candidates might be required to undergo a background verification with an external vendor.
Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid.

**Job Overview:**
The IT PMO Senior Project Manager is a pivotal role within our organization, requiring a seasoned professional with at least 8 to10 years of IT project management experience in a large, global company. The successful candidate will possess a deep of and be an expert practitioner of Project Management industry best practices and have a proven track record of leading complex, cross-functional projects to successful completion. 
**Key Tasks and Responsibilities:**
+ Lead the planning, execution, monitoring, controlling, and closing of IT projects, ensuring alignment with company goals and project objectives
+ Develop comprehensive project plans that merge customer requirements with company goals and coordinate various managers and technical personnel during all project phases
+ Oversee a global, cross-functional project team, providing strong leadership and direction to ensure project milestones and deliverables are met
+ Establish and maintain strong partnerships with project owners and stakeholders, effectively leading projects from the front and ensuring transparent communication
+ Manage project budgets, timelines, and resources, ensuring efficient allocation and utilization
+ Conduct regular project reviews and report on progress, risks, and opportunities to executive management and other key stakeholders
+ Develop timely project status reports
+ Assure that deviations from the project schedule are addressed and communicated
+ Monitor project risk factors, escalate project issues, and provide Quality Assurance for all project deliverables
+ Apply PMI institute's ten key knowledge areas of project management: Integration, Scope, Schedule, Cost, Quality, Resource, Communication, Risk, Procurement, and Stakeholder Management
+ Drive continuous improvement within the PMO by championing best practices and process enhancements
+ Utilize strong presentation skills to convey complex project information to executive audiences with clarity and confidence
+ Foster a collaborative team environment, building strong relationships, and employing active listening, negotiation, and conflict resolution skills
**Essential Qualifications and Education:**
+ Minimum Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Management Information Systems (MIS), or a related field
+ Project Management certification is required (PMP, PRINCE2, Agile)
+ A minimum of 8 to10 years of IT project management experience, preferably in a large, global company
+ Proven track record of delivering complex IT projects on time, within budget, and with high customer satisfaction
+ Exceptional organizational and communication skills, with the ability to manage multiple projects simultaneously
+ Strong leadership skills with experience in leading global, cross-functional teams
+ Strong business acumen and understanding of organizational issues and challenges
+ Ability to inspire, motivate, and guide team members and stakeholders
+ Highly process-oriented with a keen focus on quality and efficiency
+ Experience in managing projects within specific IT domains (e.g., IT infrastructure, Enterprise applications for HR, Supply Chain, Finance, Engineering, & Construction disciplines)
+ Thorough understanding of the Software Development Lifecycle and Testing Tools
+ Proficiency in project management software and tools
+ Excellent oral and written communication skills
#LI-RK1
#DICE
Our ingenuity fuels daily life. Together, we've forged some of the most trusted partnerships across the energy value chain to make what was once just an idea a reality: laying subsea infrastructure thousands of feet below sea level, installing platforms hundreds of miles from shore, using our expertise to design and build offshore wind infrastructure, and reshaping the onshore landscape to deliver the energy products the world needs safely and sustainably.
For more than 100 years, we've been making the impossible possible. Today, we're driving the energy transition with more than 30,000 of the brightest minds across 54 countries.
McDermott is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, genetic information, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
+ Experience in Machine Learning, AI Platform, Infrastructure Design, Data Analysis, Python, Java.
**Preferred qualifications:**
+ Master's degree or equivalent practical experience.
+ 2 years of experience with software development in one or more programming languages (e.g., Python, C/C++).
+ Experience with evaluating natural language and Generative AI systems.
+ Experience generating training or evaluation data using Generative AI systems.
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Google Home team focuses on hardware, software and services offerings for the home, ranging from thermostats to smart displays. The Home team researches, designs, and develops new technologies and hardware to make users' homes more helpful. Our mission is the helpful home: to create a home that cares for the people inside it and the world around it.
**Responsibilities:**
+ Work on evaluation infrastructure projects that are critical to the success of AI projects for the Home Assistant. You will work with projects that directly impact the quality and velocity of Google Home products.
+ Design and implement new evaluation platform functionality, including the handling of dialog, context and i18n.
+ Generate evaluation data for AI-based systems using crowd-compute and generative solutions.
+ Develop knowledge of eval solutions to accelerate quality iteration of AI systems.
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:

**Minimum qualifications:**
+ Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
+ Experience building data and AI solutions and working with technical customers.
+ Experience designing cloud enterprise solutions and supporting customer projects to completion.
+ Ability to communicate in English fluently to support client relationship management in this region.
**Preferred qualifications:**
+ Experience working with Large Language Models, data pipelines, and with data analytics, data visualization techniques.
+ Experience with core Data ETL techniques.
+ Experience in leveraging LLMs to deploy multimodal solutions encompassing Text, Image, Video and Voice.
+ Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
+ Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud Engineer, you'll play a key role in ensuring that customers have the best experience moving to the Google Cloud GenAI and Agentic AI suite of products. You will design and implement solutions for customer use cases, leveraging core Google products. You'll work with customers to identify opportunities to transform their business with GenAI, and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google's technology to monitor application performance, debug and troubleshoot product issues, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer.
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:**
+ Deliver effective big data and GenAI solutions and solve technical customer tests.
+ Act as a trusted technical advisor to Google's customers.
+ Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
+ Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.
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:

**Minimum qualifications:**
+ Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
+ Experience building data and AI solutions and working with technical customers.
+ Experience designing cloud enterprise solutions and supporting customer projects to completion.
+ Ability to communicate in English fluently to support client relationship management in this region.
**Preferred qualifications:**
+ Experience working with Large Language Models, data pipelines, and with data analytics, data visualization techniques.
+ Experience with core Data ETL techniques.
+ Experience in leveraging LLMs to deploy multimodal solutions encompassing Text, Image, Video and Voice.
+ Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume).
+ Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks.
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google's global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
As a Cloud Engineer, you'll play a key role in ensuring that customers have the best experience moving to the Google Cloud GenAI and Agentic AI suite of products. You will design and implement solutions for customer use cases, leveraging core Google products. You'll work with customers to identify opportunities to transform their business with GenAI, and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google's technology to monitor application performance, debug and troubleshoot product issues, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer.
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:**
+ Deliver effective big data and GenAI solutions and solve technical customer tests.
+ Act as a trusted technical advisor to Google's customers.
+ Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform.
+ Deliver best practices recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders.
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:

**Minimum qualifications:**
+ Bachelor's degree or equivalent practical experience.
+ 5 years of experience in product management, program management, consulting, or a client-facing role on a technical product.
+ 4 years of experience in conversational AI design, prompt engineering, or designing evaluation sets for AI/ML models.
**Preferred qualifications:**
+ Experience creating scalable frameworks or design patterns (systems-thinking).
+ Experience translating complex user needs or business problems into clear, technical requirements for engineering teams.
+ Ability to navigate ambiguity and drive projects and issues to a clear conclusion.
+ Ability to design and run data-driven experiments (e.g., A/B testing) to drive product optimization.
+ Excellent project and stakeholder management skills.
YouTube's user base is growing and changing, presenting unique tests and opportunities to support over a billion monthly users globally. Fast-paced, dynamic, and proactive, the YouTube Creator Success team provides seamless, brilliant support to our content creators around the world. Our goal is to ensure millions of creators and partners have easy access to comprehensive support when and where they need it a mission we are increasingly scaling through our AI agent and to allow our creators' voices to help shape product solutions.
The Creator Success Operations organization is committed to providing exceptional support by building an AI experience. This relies on a team of thinkers who architect the AI's conversational abilities and shape the strategy for its development. Your work in this organization will directly impact our AI support strategy and contribute to a thriving creator experience and ecosystem. By translating complex support journeys into clear AI blueprints and leading our experimentation process from start to finish, you will be the key contributor shaping the quality and effectiveness of our AI for our community.
The AI Agent Product Support Manager (PSM) is the bridge between our global YouTube creator support and product teams, responsible for architecting the conversational abilities of our AI agent. PSMs leverage their specialized product knowledge and expertise in conversational design to create core AI support workflows, own the experimentation and quality validation process, partner with Product to address AI performance trends, and ensure support readiness for all new AI capabilities.
At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.
**Responsibilities:**
+ Establish and govern a standardized framework including evaluation sets, golden conversations, and workflow patterns to guide vertical PSMs in translating Support User Journeys (SUJs) into clear engineering requirements for the agent.
+ Own the validation cycle for all new capabilities, overseeing prompt tuning, managing SUJ exit criteria, and activating vertical PSMs to certify journey-specific quality before launch.
+ Manage support communications for critical AI model changes, experiments, and product issues impacting support teams.
+ Support launch readiness for new AI capabilities and empower support teams with documentation, training, and product knowledge.
+ Act as the creator support teams with Product. Coalesce and collect product feedback and insights on conversational performance and prompt effectiveness to ensure that creator needs are represented, quantified, and prioritized for Product Managers and Engineers.
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:

**Introduction**
In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
**Your role and responsibilities**
* Work with broader team to build, analyze and improve the AI solutions.
* You will also work with our software developers in consuming different enterprise applications
**Required technical and professional expertise**
* Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services.
* Proficient in Python with focus on Data Analytics Packages.
* Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines.
* Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models
**Preferred technical and professional experience**
* Experience with conversation analytics. Experience with cloud technologies
* Experience with data exploration tools such as Tableu
IBM 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, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

**Who We Are**
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
Are you ready to embark on an exhilarating journey as a Data Consultant? Join Kyndryl and become a driving force behind the transformative power of data! We're seeking an exceptionally talented individual to accelerate the competitive performance of our customers worldwide, establishing us as their unrivaled business and technology consulting partner.
As Enterprise Consultant for Data and AI solutions you are expected to create a vision of the future by working with leadership to identify opportunities and translate them into functional and non-functional requirements. You should be and expert in Data Science/Model Lifecycle and deep expertise of managing data solutions. As an Architect in our Data and AI team, you will provide best-fit architectural solutions for one or more projects leveraging your architectural skills; assist in defining scope and sizing of work; and anchor Proof of Concept developments. You will provide solution architecture for the business problem, platform integration with third party services, designing and developing complex features for clients' business needs. You will collaborate with some of the best talent in the industry to create and implement innovative solutions, participate in Pre-Sales and various pursuits focused on our clients' business needs.
You will also contribute in a variety of roles in thought leadership, mentorship, systems analysis, architecture, data management models, configuration, testing, debugging, and documentation. You will challenge your leading edge solutions, consultative and business skills through the diversity of work in multiple industry domains.
**Responsibilities:**
+ Handling RFP / RFI / Government Tender technical solution, detailed scope preparation, effort estimations and response drafting
+ Excellent presentation skills is important
+ Understand client needs, translate them into business solutions that can be implemented
+ Responsible for architecture, design and development of scalable data engineering / AI solutions and standards for various business problems using cloud native services, or third party services on hyperscalers
+ Take ownership of technical solutions from design and architecture perspective, ensure the right direction and propose resolution to potential Data science/Model related problems
+ Delivering and presenting proofs of concept of key technology components to project stakeholders
+ Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
+ Design and develop model utilization benchmarks, metrics, and monitoring to measure and improve models. Detect model drift and alert - Prometheus, Grafana stack, Cloud native monitoring stack
+ Research, design, implement and validate cutting-edge deployment methods across hybrid cloud scenarios
+ Develop and maintain documentation of the Model flows and integrations, pipelines etc
+ Evaluate and create PoVs around the performance aspects of DSML platforms and tools in the market against customer requirements
+ Assist in driving improvements to the Data Engineering stack, with a focus on the digital experience for the user, as well as model performance & security to meet the needs of the business and customers, now & in the future
**Required Experience:**
Data Engineer with 15+ years of experience with following skills -
+ Must have 5+ years of experience working with Data modernisation solutions, working experience with on-prem or in cloud AI, DWH solutions based on native and third party solutions based AWS, Azure, GCP, Databricks etc.
+ Experience of handling RFP / RFI / Tender responses, proposal preparation
+ Must have experience designing and architecting of data lake/warehouse projects using Paas and Saas - such as Snowflake, Databricks, Redshift, Synapse, BigQuery etc. or data warehouse/data lake implementations on-premise
+ Must have good knowledge in designing data pipelines ETL/ELT, DS modules implementing complex stored Procedures and standard DWH and ETL concepts
+ Experience in Data Migration from on-premise RDBMS to cloud data warehouses
+ Good understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modelling)
+ Hands-on experience in Python, PySpark, programming for data integration projects
+ Support in providing resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface
**Who You Are**
**Preferred Skills:**
+ Understanding of cloud network, security, data security and data access controls and design aspects
+ AI and Data solutions on Hyperscalers such as Databricks, MS-Fabric, co-pilot, AWS redshift, GCP BigQuery, GCP Gemini etc
+ Background Agentic AI, GenAI technologies will be added advantage
+ Hands ON experience for planning and executing POC / MVP / Client projects engaging Data Modernization and AI use case developments
**Required Skills:**
-Bachelor's degree in Computer Science, Information Security, or a related field
-Skilled in planning, organization, analytics, and problem-solving
-Excellent communication and interpersonal skills to work collaboratively with clients and team members
-Comfortable working with statistics
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**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.