7,442 Big Data Platforms jobs in India

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

Director – Data Science & Data Engineering
Shape the Future of AI-Driven eCommerce Discovery

About the Role
We're reimagining how people discover products in eCommerce—and we're looking for a visionary leader who blends technical depth with product intuition. If you're passionate about structured data, large language models, and building high-impact data products, this role is tailor-made for you.

As Director of Data Science & Data Engineering, you’ll lead a talented team of data scientists, analysts, and engineers working at the cutting edge of AI/ML, product analytics, and taxonomy design. Your mission? Drive innovation in product discovery through smarter data, scalable infrastructure, and breakthrough AI-powered solutions.

You’ll join the Product Knowledge org and play a key role in designing the backbone of next-gen search, recommendations, and generative AI experiences.

This is a high-impact, high-agency role—perfect for a hands-on leader who thrives in fast-paced, collaborative environments.

What You’ll Work On

Lead and inspire a cross-functional team to:

What You Bring

Why Join Us

Ready to lead the next wave of AI + Data innovation in commerce? Let’s build the future together.

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About Position:

We are conducting an in-person hiring drive for the position of Mlops / Data Science in Pune & Bengaluru on 2nd August 2025.Interview Location is mentioned below:

Pune – Persistent Systems, Veda Complex, Rigveda-Yajurveda-Samaveda-Atharvaveda Plot No. 39, Phase I, Rajiv Gandhi Information Technology Park, Hinjawadi, Pune, 411057

Bangalore - Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024

We are looking for an experienced and talented Data Science to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Mlops Architecture Strategy, Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics.

• Role: Mlops, Data Science
• Job Location: All PSL Location
• Experience: 5+ Years
• Job Type: Full Time Employment

What You'll Do:

• Design, build, and manage scalable ML model deployment pipelines (CI/CD for ML).
• Automate model training, validation, monitoring, and retraining workflows.
• Implement model governance, versioning, and reproducibility best practices.
• Collaborate with data scientists, engineers, and product teams to operationalize ML solutions.
• Ensure robust monitoring and performance tuning of deployed models

Expertise You'll Bring:

• Strong experience with MLOps tools & frameworks (MLflow, Kubeflow, SageMaker, Vertex AI, etc.).
• Proficient in containerization (Docker, Kubernetes).
• Good knowledge of cloud platforms (AWS, Azure, or GCP).
• Expertise in Python and familiarity with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of CI/CD, infrastructure as code, and automation tools.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Inclusive Environment:

Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We offer hybrid work options and flexible working hours to accommodate various needs and preferences.
• Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive.

Our company fosters a values-driven and people-centric work environment that enables our employees to:

• Accelerate growth, both professionally and personally
• Impact the world in powerful, positive ways, using the latest technologies
• Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
• Unlock global opportunities to work and learn with the industry’s best

Let’s unleash your full potential at Persistent

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

About Position:

We are conducting an in-person hiring drive for the position of Mlops / Data Science in Pune & Bengaluru on 2nd August 2025.Interview Location is mentioned below:

Pune – Persistent Systems, Veda Complex, Rigveda-Yajurveda-Samaveda-Atharvaveda Plot No. 39, Phase I, Rajiv Gandhi Information Technology Park, Hinjawadi, Pune, 411057

Bangalore - Persistent Systems, The Cube at Karle Town Center Rd, DadaMastan Layout, Manayata Tech Park, Nagavara, Bengaluru, Karnataka 560024

We are looking for an experienced and talented Data Science to join our growing data competency team. The ideal candidate will have a strong background in working with GEN AI , ML ,LangChain, LangGraph, Mlops Architecture Strategy, Prompt engineering. You will work closely with our data analysts, engineers, and business teams to ensure optimal performance, scalability, and availability of our data pipelines and analytics.

• Role: Mlops, Data Science
• Job Location: All PSL Location
• Experience: 5+ Years
• Job Type: Full Time Employment

What You'll Do:

• Design, build, and manage scalable ML model deployment pipelines (CI/CD for ML).
• Automate model training, validation, monitoring, and retraining workflows.
• Implement model governance, versioning, and reproducibility best practices.
• Collaborate with data scientists, engineers, and product teams to operationalize ML solutions.
• Ensure robust monitoring and performance tuning of deployed models

Expertise You'll Bring:

• Strong experience with MLOps tools & frameworks (MLflow, Kubeflow, SageMaker, Vertex AI, etc.).
• Proficient in containerization (Docker, Kubernetes).
• Good knowledge of cloud platforms (AWS, Azure, or GCP).
• Expertise in Python and familiarity with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Solid understanding of CI/CD, infrastructure as code, and automation tools.

Benefits:

• Competitive salary and benefits package
• Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
• Opportunity to work with cutting-edge technologies
• Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
• Annual health check-ups
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Inclusive Environment:

Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

• We offer hybrid work options and flexible working hours to accommodate various needs and preferences.
• Our office is equipped with accessible facilities, including adjustable workstations, ergonomic chairs, and assistive technologies to support employees with physical disabilities.
• If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment. We are committed to creating an inclusive environment where all employees can thrive.

Our company fosters a values-driven and people-centric work environment that enables our employees to:

• Accelerate growth, both professionally and personally
• Impact the world in powerful, positive ways, using the latest technologies
• Enjoy collaborative innovation, with diversity and work-life wellbeing at the core
• Unlock global opportunities to work and learn with the industry’s best

Let’s unleash your full potential at Persistent

“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

Requirements & Qualifications:

• Bachelors or Masters degree in a relevant field such as Computer Science, Data Science, Statistics, or a related quantitative discipline.
• Querying data from structured (SQL) and unstructured data stores; advanced scripting techniques using Python; optimizing code for performance, scalability, and readability; and using statistics and machine learning.
• 3-6 years of proven experience as a Data Scientist, with a track record of successful project delivery and demonstrated impact on business outcomes in domains related to CPG/Tech/Healthcare.
• Expertise in Python programming, including libraries such as NumPy, Pandas, scikit-learn, and others commonly used in data analysis and machine learning.
• Hands-on experience developing and deploying machine learning models in real-world applications.
• Strong understanding of deep learning techniques, especially in the domains of computer vision or ML is good to have.
• Familiarity with PySpark and Databricks is a plus.
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced, team-oriented environment.
• Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders.

We are looking for a skilled Data Scientist to join our team in India. The ideal candidate will have a strong background in data analysis, statistical modeling, and machine learning. You will play a crucial role in transforming data into actionable insights that drive business decisions.

• Analyze large datasets to identify trends and patterns
• Develop predictive models and machine learning algorithms
• Collaborate with cross-functional teams to implement data-driven solutions
• Communicate findings and insights to stakeholders effectively
• Maintain and optimize existing data pipelines and frameworks

• Proficiency in programming languages such as Python or R
• Experience with data visualization tools like Tableau or Power BI
• Strong understanding of statistical analysis and machine learning techniques
• Familiarity with SQL and database management
• Knowledge of big data technologies (e.g., Hadoop, Spark)
• Ability to work with unstructured data and data processing tools

Responsibilities:

• Data Science and AI: Expertise in data science, including data analysis, data processing, and model development. Proficiency in Python for data science applications. Strong understanding and experience in artificial intelligence (AI) and machine learning (ML) algorithms.Natural Language Processing (NLP): Experience in developing and deploying NLP models. Understanding of large language models (LLMs) and their applications.Generative AI: Knowledge and practical experience with generative AI models and techniques. Ability to develop and integrate generative AI solutions into various applications.Collaboration and Communication: Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex data insights and AI solutions effectively to non-technical stakeholders.Continuous Learning and Improvement: Stay updated with the latest advancements in AI, ML, NLP, and generative AI. Continuously improve and optimize existing models and algorithms.

Desired Candidate:

• Experience: 4+ years of hands-on experience in data science, AI, ML, NLP, and generative AI.Skills: Strong problem-solving skills and the ability to think critically. Excellent communication and collaboration skills.Mindset: Self-starter with a passion for innovation and continuous learning. Ability to thrive in a fast-paced and dynamic environment.

Technical Skills:

• Data Science, Python, AI, ML, NLP, LLM, Generative AI

We are seeking an experienced Data Scientist to join our dynamic team in India. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, and will play a key role in driving data-driven decisions across the organization.

• Develop and implement data models and algorithms to support business needs.
• Analyze large datasets to extract meaningful insights and trends.
• Collaborate with cross-functional teams to identify opportunities for data-driven decision making.
• Communicate findings and recommendations to stakeholders in a clear and effective manner.
• Continuously improve data processing and analysis techniques.

• Strong proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks like TensorFlow, Keras, or Scikit-learn.
• Solid understanding of statistical analysis and data visualization tools such as Tableau or Power BI.
• Familiarity with big data technologies like Hadoop, Spark, or AWS.
• Excellent problem-solving skills and ability to work with unstructured data.
• Strong communication skills to convey complex data insights to non-technical stakeholders.