18,202 Senior Data Scientist jobs in India

**Introduction**
IBM CIO Technology Platform Transformation
The IBM CIO Technology Platform Transformation team plays a crucial role in modernizing and optimizing IBM's technology infrastructure and platforms. The team aims to power AI-enabled experiences through AI-first technology platforms that enable and streamline existing processes, enhance security, and improve user experience by leveraging cutting-edge technologies such as artificial intelligence, machine learning, and cloud computing.
As part of IBM's CIO TPT team, we will contribute to transformative projects that redefine enterprise operations using AI. We will directly influence productivity, user experience, and strategic decision-making across IBM.
Some of the key responsibilities of this group include:
* Driving the adoption of emerging technologies to optimize and automate various business functions, keeping an AI-first approach with a digital experience.
* Enable best in class IT with enhanced cybersecurity measures to protect sensitive information and maintain regulatory compliance.
* Modernizing legacy systems and integrating disparate applications to improve interoperability and reduce technical debt.
* Collaborating with other departments and teams to align technology efforts with broader corporate objectives.
* Providing guidance and expertise on technology trends, best practices, and standards.
This team comprises professionals with diverse backgrounds in software engineering, data science, network architecture, and security. By fostering a culture of innovation and continuous improvement, the team strives to achieve its mission of making IBM the most productive company in the world.
**Your role and responsibilities**
Role Overview:
As an AI Engineer/SW Developer, you will be in a unique position to combine your strategic thinking with your technical skills in AI, machine learning, and data analytics. You will apply your skills to help implement data-driven solutions that align with business goals. You will steer enterprise projects that improve decision-making, solve complex problems, and drive business growth. This role involves working with team members and stakeholders to translate data insights into actionable recommendations that deliver meaningful business impact. 
Key Responsibilities:
1. Implement AI, Data Science, and Technical Execution:
* Support the design, implementation and optimization of AI-driven strategies per business stakeholder requirements.
* Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights.
* Apply GenAI, traditional AI, ML, NLP, computer vision, or predictive analytics where applicable.
* Collect, clean, and preprocess structured and unstructured datasets.
* Help refine data-driven methodologies for transformation projects.
* Learn and utilize cloud platforms to ensure the scalability of AI solutions.
* Leverage reusable assets and apply IBM standards for data science and development.
* Apply ML Ops and AI ethics.
2. Strategic Planning & Execution
* Translate business requirements into technical strategies.
* Ensure alignment to stakeholders' strategic direction and tactical needs.
* Apply business acumen to analyze business problems and develop solutions.
* Collaborate with stakeholders and team to prioritize work.
3. Project Management and Delivering Business Outcomes:
* Manage and contribute to various stages of AI and data science projects, from data exploration to model development to solution implementation and deployment.
* Use agile strategies to manage and execute work.
* Monitor project timelines and help resolve technical challenges.
* Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs.
4. Communication and Collaboration:
* Communicate regularly and present findings to collaborators and stakeholders, including technical and non-technical audiences.
* Create compelling data visualizations and dashboards.
* Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems.
**Required technical and professional expertise**
Experience:
Hands-on Experience with AI/ML technologies and statistical modelling through coursework, projects, or past internships or full-time positions. Participation in AI/Data-related summits will be an added advantage ( eg. Kaggle/Hackathons)
* Experience with prompt engineering or fine-tuning LLMs.
* Familiarity with tools like Lang Chain, Hugging Face Transformers, or OpenAI APIs.
* Understanding of model evaluation metrics specific to LLMs
Technical Skills:
* Proficiency in SQL and Python for performing data analysis and developing machine learning models.
* Experience and/or coursework in statistics, machine learning, generative and traditional AI.
* Knowledge of common machine learning algorithms and frameworks: linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch.
* Familiarity with cloud-based platforms and data processing frameworks.
* Understanding of large language models (LLMs).
* Familiarity with object-oriented programming.
* Experience and/or coursework with common Python libraries used by data scientists (e.g., NumPy, Pandas, SciPy, scikit-learn, matplotlib, Seaborn, etc.)
* Knowledge of APIs, Docker, Flask, or model serving technologies
* Experience with tools like Jupyter, Git, or cloud platforms (AWS, Azure, IBM Cloud)
Strategic and Analytical Skills:
* Strategic thinking and business acumen.
* Strong problem-solving abilities and eagerness to learn.
* Ability to work with datasets and derive insights.
* Attention to detail.
Communications and Soft Skills:
* Excellent communication skills, with the ability to explain technical concepts clearly.
* Independent and team oriented.
* Understands AI Ethics principles.
* Works openly and inclusively.
* Adaptable to fast-paced environments.
* Enthusiasm for learning and applying new technologies.
* Growth mindset.
* Ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment.
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.

Job Location
Mumbai
Job Description
P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world's largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but significant ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and clear, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.
Dedication from Us:
You will be at core of Ground- breaking innovations, be given exciting opportunities, lead initiatives, and take charge and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. What we Offer: Continuous mentorship - work with peers and receive both formal training as well as day-to-day mentoring from your manager multifaceted and encouraging work environment- employees are at the centre, we value every individual and support initiative, promoting agility and work/life balance.
Overview of the job
Provides an ideal place to work on ground-breaking upstream improvements related to the manufacturing and processing of our leading products with intelligent, connected technologies driving the 4th industrial revolution. Our aim is to ignite your potential and equip you to enhance the capability, safety, and efficiency of all our systems while reducing cost and boosting sustainability.
Responsible for building advanced analytic (ML/AI/Optimization) algorithms within a Data Science program and working with Business Partners and Friends of Data Science to insert algorithms into business processes and activate them directly with the business.
Your team
This role reports to business Dry Laundry global Platform leader. You will be working with project teams across Engineering, Manufacturing and Quality across the globe.
How success looks like
+ Enabling savings every year on base budget as per the masterplan
+ Delivering touchless digital transformation masterplan and reapplying across the globe.
+ Responsibilities of the role
+ Provides technical leadership in supporting OU innovation projects.
+ Acts as a key enabler in leading and delivering results against challenges.
+ Works with innovation team looking at new platforms, machine control, data processing and analytics. Helps develop capability in others.
+ Develop and plan required analytic projects in response to business needs. Leverage data science tools to tackle the toughest process problems in the region.
+ Develop new analytics/predictive/prescriptive modeling methods and/or tools as required. Propose prescriptive analytic models to build robust and fault-tolerant process control strategies to reduce Operations Effort and improve product quality
+ Work with process/equipment authorities and application developers to identify data relevant for analysis.
+ Supply together with process/equipment owners and ITOT to the development and evolution of data models for analytical capabilities. Own data model and maintenance and development for hub-site
+ Develop and maintain key data pipelines across selected sites globally
+ Contribute to define work processes to deploy and maintain predictive/analytical modeling architectures, modeling standards, alarming and reporting, and data analysis methodologies.
+ Conduct external focus research to drive suggestions on analytical modeling products, services, protocols, and standards that might support and speed-up the smart manufacturing journey.
+ Identify, diagnose, and resolve prognostics model performance issue.
+ Leverage Reliability Engineering improve with data science to develop new solutions to reduce losses.
Job Qualifications
+ Bachelor's in engineering/computer Sci
+ Experience with Machine Learning Techniques
+ Strong communication skills
+ Sufficient business knowledge to understand what data is important, when findings are relevant, and how to exploit data to make decisions. Strong familiarity with data preparation and processing.
+ Strong analytical statistical and mathematical modeling capabilities to form hypothesis and to collect, explore, and extract insights from structure and unstructured data to rationally transform raw data into useful information to improve process/equipment operation and maintenance.
+ Efficient use of software for data visualization, statistical analysis and ML, e.g., Python, R, SAS, Azure ML, Matlab, Power BI, Tableau, and familiarity with functional programming and scripting languages, e.g.: NET, VB, C++, Python, Matlab.
+ Understanding data architecture concepts, i.e., relational database structures, data warehouse, big data management, data queries, etc.
+ Technical understanding of mechatronic systems / first principles (combining principles of process, mechanic, electrical, control and systems engineering)
+ Experience in advance analytics, big data, machine learning.
+ Experience in designing visualization to improve user experience and effective decision making
+ Innovation Approach - Ability to assess business operations and find opportunities, then drive case
+ Experience in data engineering using Azure Data Factory, Databricks, SQL, Knime
+ Experience in Agile project (SCRUM, Kanban) and operate in DevOps, CI/CD environments
+ IT Security & Risk - In touch with modern IT security risks and principles.
+ Validated ability to handle concurrent priorities, strong written and verbal communication skills to influence others and act collaboratively across functions
+ Collaboration attitude with clear technical communication skills to explain data models and data analytic solutions to other technical peers and to leadership teams.
We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories, and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.
Visit to know more.
We are an equal-opportunity employer and value diversity at our company. We do not discriminate against individuals based on race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.
"At P&G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics & Corporate Responsibility guiding everything we do.
All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application."
Job Schedule
Full time
Job Number
R
Job Segmentation
Entry Level

Data Scientist
Date: Sep 25, 2025
Req ID:
Location:
Pune, MH, IN
Workplace Type: Hybrid/Remote
Do you want to help solve the world's most pressing challenges? Feeding the world's growing population and slowing climate change are two of the world's greatest challenges. AGCO is a part of the solution! Join us to make your contribution.
AGCO is looking to hire candidates for the position of **Data Scientist**
**Your Impact**
+ Data Management and Analysis: Extract, clean, and analyze large datasets from diverse sources, including telemetry data, test fleet data, and test bench data, to support engineering and AI applications in the agricultural machinery domain.
+ Insight Generation: Identify patterns, trends, and correlations in data to derive actionable insights that inform product development, parts design, specifications, and operational decisions.
+ Cross-Functional Collaboration: Work closely with cross-functional teams to drive data-driven decision-making and foster innovative solutions that enhance engineering efficiency, improve product quality, and enable the development of new, data-driven solutions for product usage.
+ Model Development and Refinement: Continuously develop, evaluate, and refine analytical models and methods to ensure their accuracy, scalability, and relevance to business needs.
+ Machine Learning Applications: Develop machine learning models to predict maintenance needs, optimize machine settings, analyze customer usage patterns, and enhance overall product performance.
**Your Experience and Qualifications**
+ 3+ years of experience working with structured data, including cleaning, manipulating, and data mining. Experience with unstructured data is a plus.
+ Proven experience with at least two of the following: statistical models, machine learning, deep learning (preferably time series or large language models for NLP, topic modeling, or conversational AI). Familiarity with model setup, fine-tuning, evaluation, and deployment.
+ Strong proficiency in Python, SQL, PySpark, and common frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Familiarity with R is a plus.
+ Experience with cloud-based tools like Apache Spark, Databricks, AWS Glue, and Amazon SageMaker.
+ Strong data visualization skills and experience with BI tools (e.g., Dash, Tableau, Shiny).
**Your Benefits**
+ GLOBAL DIVERSITY - Diversity means many things to us, different brands, cultures, nationalities, genders, generations - even variety in our roles. You make us unique!
+ ENTERPRISING SPIRIT- Every role adds value. We're committed to helping you develop and grow to realize your potential.
+ POSITIVE IMPACT - Make it personal and help us feed the world.
+ INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence - and work alongside teams of people worldwide who share your enthusiasm.
+ MAKE THE MOST OF YOU - Benefits include health care and wellness plans and flexible and virtual work options.
**Your Workplace**
We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives.
**Join us as we bring agriculture into the future and apply now!**
Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice.
**AGCO is proud to be an Equal Opportunity Employer.**
**Job Segment:** Agronomy, Data Mining, Database, SQL, Scientist, Agriculture, Technology, Science

**We help the world run better**
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
**What you'll do**
+ You will work with a team of highly technical and motivated developers.
+ Collaborate and work with teams spread across geographies and time zones.
+ You will work on the entire lifecycle of development projects, both customer specific and SAP-defined. This includes the analysis and specification of the customer-specific business requirements as well as the design, implementation, maintenance and in case of cloud services operation of customer-specific solutions.
+ Implement backlogs for functional and non-functional requirements.
+ Design, develop, deploy and monitor efficient AI/ML modules that drives complex business applications.
+ Adhere to SAP's agile engineering practices and processes. Own your code from ideation to development, across the full stack and through QA and support.
+ You will work on multiple topics and technologies with adequate enablement.
**What you bring:**
Educational Qualification
+ Bachelors/master's degree in computer science, machine learning, data science or related fields, with knowledge and experience on knowledge representation
Work Experience
+ 4 years of industry experience in a Data Science.
Skills and Competencies:
+ Extensive knowledge of various machine learning algorithms and concepts used to build predictive models.
+ Develop and deploy applications based on Large Language Models (LLM) and Gen AI based products
+ Apply prompt engineering, fine-tuning, and RAG techniques to improve model accuracy and reliability.
+ Design and implement AI pipelines (data ingestion, embeddings, vector databases, knowledge retrieval).
+ Collaborate with backend and frontend engineers to build production-ready APIs and interfaces.
+ Implement guardrails, safety mechanisms, and bias detection to ensure responsible AI usage.
+ Understanding of Agent development and frameworks like Lang graph.
+ Understanding of Basic UI development in Python.
+ In-depth knowledge in the following data science domains:
+ Text Analysis and Natural Language Processing
+ Neural Networks and Deep Learning
+ Hands on experience with computational packages (Numpy, Scipy, Pandas, Scikit-Learn, StatsModels, Keras, Tensorflow, etc.) and visualization tools.
+ Software engineering experience of AI related projects, using advanced techniques like vector databases, LLMs, and NLPs
+ Prior experience in deploying machine learning models into production.
+ Experience in working with GPUs to develop models.
+ Possess strong interpersonal and stakeholder management skills.
+ Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format.
+ Strong written and verbal communication skills
+ Demonstrated the ability to independently develop new concepts and stay current with academic research.
Expectations and Tasks:
+ Conceptualize, design, and deliver high quality solutions and insightful analysis.
+ Work on gathering data and requirements, participate in solution scoping and architecture, research, and prototyping innovative models.
+ Build solutions by exploring data, building & validating models and deploying them to deliver maximum business impact.
+ Interact with both - internal and external stakeholders daily.
+ Handle multiple projects as an individual contributor and be a multiplier by actively mentoring other resources within the team.
+ Be up to date with latest and best practices in delivering enterprise grade data science solutions.
+ Build credibility and trust with customers and project teams during project execution.
**Meet your team:**
SAP Private Cloud Cross Technology and Architecture unit that is driving technology empowering innovations in business and people. It is part of the global organization Private Cloud dedicated to delivering innovative solutions to meet our customers' unique business process needs in Private Cloud.
+ You will be joining a dynamic and passionate team dedicated to leveraging AI to facilitate seamless interactions between individuals and information.
+ We foster a culture of collaboration, learning, and growth, encouraging all team members to contribute ideas and perspectives.
+ Enjoy the benefits of working within a diverse and international environment, with opportunities to collaborate with colleagues from around the globe.
Our vision is to become the premier strategic RISE with SAP enabler, driving accelerated innovation and technology adoption leveraging the SAP Business Technology Platform, focusing on a clean core approach
**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 world.
SAP is committed to the values of Equal Employment Opportunity and provides 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.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
Successful candidates might be required to undergo a background verification with an external vendor.
**AI Usage in the Recruitment Process**
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process ( .
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Requisition ID: | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations: #LI-Hybrid

**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**
We are seeking a skilled Data Scientist with a minimum of 6 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of GenAI solutions, leveraging your technical expertise. The ideal candidate should have familiarity with business processes in 1 domain(.e.g Financial, Telecom, Retail) to quickly understand the requirements and come up with solutions to address the issues in these domains. Candidate is expected to have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
**Responsibilities**
+ Development and deploy Generative AI and LLM projects, ensuring alignment with business objectives.
+ Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.
+ Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.
+ Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).
**Who You Are**
**Requirements**
**MUST HAVE**
+ Graduate / Postgraduate in computer science or computer engineering or equivalent with 6-8 years of experience in the IT Industry.
+ Minimum 4 years of hands on experience Data Scientist Role or Similar role.
+ **Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.**
+ Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).
+ Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
+ Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI.
+ Should have done 2-3 projects in domain of expertise,
+ Should have strong good knowledge of Python, C/C++.
+ Be fluent in English (written and spoken).
**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.

**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**
We are seeking a skilled Data Scientist with a minimum of 6 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of GenAI solutions, leveraging your technical expertise. The ideal candidate should have familiarity with business processes in 1 domain(.e.g Financial, Telecom, Retail) to quickly understand the requirements and come up with solutions to address the issues in these domains. Candidate is expected to have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
**Responsibilities**
+ Development and deploy Generative AI and LLM projects, ensuring alignment with business objectives.
+ Participate in the development of gen AI solutions, AI Agent development and Elastic ML deliverables
+ Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.
+ Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.
+ Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).
**Who You Are**
**Requirements**
**MUST HAVE**
+ Graduate / Postgraduate in computer science or computer engineering or equivalent with 6-8 years of experience in the IT Industry.
+ Minimum 4 years of hands on experience Data Scientist Role or Similar role.
+ **Strong understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.**
+ **Comfortable with Elastic ML deliverables and development of AI Agents**
+ Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).
+ Understanding of how to deploy LLMs on cloud/ on-premise and use APIs to build Industry solutions.
+ Experience in using LLM models on cloud i.e. OpenAI @ Azure, Aws Bedrock, GCP Vertex AI.
+ Should have done 2-3 projects in domain of expertise,
+ Should have strong good knowledge of Python, C/C++.
+ Be fluent in English (written and spoken).
**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.