23,967 Data Science Applications jobs in India

Job Overview:

Data Analyst & Machine Learning Engineer

We seek a highly skilled Data Analyst and Machine Learning Engineer to join our team.

Responsibilities:

• Develop and implement data models, focusing on machine learning and deep learning techniques.
• Analyze and preprocess large datasets, preparing them for modeling and supporting higher-level data science initiatives.
• Collaborate with senior scientists to design and implement data-driven solutions.
• Stay up-to-date with the latest advancements in machine learning and AI, applying this knowledge to drive innovation.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, or Mathematics, with strong interests in machine learning and AI.
• Experience in data analysis and machine learning, demonstrating practical skills and expertise in Python programming.
• Familiarity with data platforms and tools, such as pandas, NumPy, and scikit-learn.
• Eagerness to learn and grow, with a proactive approach to acquiring new knowledge and skills.

Skills:

• Solid understanding of machine learning principles and practical experience in Python programming.
• Familiarity with data science and machine learning libraries in Python.
• Strong analytical and problem-solving abilities, capable of tackling complex data-related challenges.
• Effective communication skills, ability to work collaboratively in a team environment.

Benefits:

• A dynamic and inclusive work environment.

We value diversity and are committed to creating an inclusive environment for all employees.

Job Title:

Data Analyst and Machine Learning Engineer ">">

Overview:

We are seeking a highly skilled Data Analyst and Machine Learning Engineer to support the development and implementation of data models focusing on Machine Learning contributing to our innovative projects.

Responsibilities:

**Job Summary**
NetApp is seeking an ML engineer to join the Data Services organization. The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As a key ML engineer in this initiative, the candidate will be responsible for independently deploying scalable AI/ML-based solutions, leveraging advancements in AI to solve real-world challenges in the domains of data protection and cyber-security. The candidate will possess deep expertise in using modern AI/ML systems to ship impactful products to production. This is going to be a challenging and a fun role in one of the most exciting roles in the industry today.
**Job Requirements**
+ Lead the development and deployment of AI/ML systems for Data protection with techniques from the realm of classical Machine learning, Generative AI and AI agents.
+ Develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines, setting up automated evals, adopting latest and greatest inferencing platforms for rapid iterations.
+ Collaborate with data scientists and engineers to integrate AI into the broader products at NetApp. Effectively communicate complex technical artifacts to both technical and non-technical audiences.
+ Work with a great deal of autonomy and proactively bring open-source AI innovations into our research and experimentation roadmap. Ensure scalability, reliability, and performance of AI models in production environments.
+ Have a customer focus mindset and build AI/ML products that delight our customers.
+ Represent NetApp as an innovator in the machine learning community and promote the company's product capabilities in industry/academic conferences.
**Job Expectations**
+ The position is a Hybrid position, and the candidate is expected to work in NetApp Bangalore office at least two days a week.
**Required and Preferred Qualification**
+ Master's degree in computer science / applied mathematics / statistics / data science or equivalent experience.
+ 3+ years of experience in building MLOps pipelines, CI/CD pipelines, and ML systems lifecycle management.
+ Strong knowledge of optimizing and shipping machine learning and deep learning models to production.
+ Proficiency in Python, SQL and at least one cloud platform (AWS, Azure or GCP).
+ Excellent communication and collaboration skills, with demonstrated ability to work effectively with cross-functional teams and stakeholders of an organization
**Preferred Qualification**
+ 1+ years of experience in data engineering, including building and optimizing data pipelines and architectures.
+ Solid understanding of data science fundamentals and model evaluations, including supervised and unsupervised machine learning algorithms (both machine learning and deep learning).
+ Good understanding of cyber-security and data protection frameworks.
+ Experience of representing your work or company at AI/ML conferences.
+ Active GitHub profile showcasing relevant open-source AI/ML projects or Kaggle achievements.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.
**Equal Opportunity Employer:**
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.
**Why NetApp?**
We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.
We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.
If you want to help us build knowledge and solve big problems, let's talk.

**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Machine Learning Engineer**
**What you will do**
Let's do this. Let's change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.
**Roles & Responsibilities:**
+ Collaborate with data scientists to develop, train, and evaluate machine learning models.
+ Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
+ Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
+ Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
+ Develop and implement monitoring systems to track model performance and identify issues.
+ Conduct A/B testing and experimentation to optimize model performance.
+ Work closely with data scientists, engineers, and product teams to deliver ML solutions.
+ Stay updated with the latest trends and advancements
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years (Job Code's Discipline and/or Sub-Discipline)
**Functional Skills:**
**Must-Have Skills:**
+ Solid foundation in machine learning algorithms and techniques
+ Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
+ Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
+ Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills
**Good-to-Have Skills:**
+ Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
+ Experience with data engineering and pipeline development
+ Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
+ Knowledge of NLP techniques for text analysis and sentiment analysis
+ Experience in analyzing time-series data for forecasting and trend analysis
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Machine Learning Engineer
**What you will do**
Let's do this. Let's change the world. In this vital role as a Machine Learning Engineer, you will contribute to the development and maintenance of our GEN AI web applications across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations. This role is ideal for recent graduates or early-career professionals looking to gain hands-on experience in software development.
**Roles & Responsibilities:**
+ Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
+ Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
+ Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
+ Collaborate with the design and product teams to understand user needs and translate them into technical requirements.
+ Write clean, efficient, and well-tested code.
+ Participate in code reviews and provide constructive feedback.
+ Maintain system uptime and optimal performance
+ Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The (vital attribute) professional we seek is a (type of person) with these qualifications.
**Basic Qualifications:**
Master's degree / Bachelor's degree and 5 to 9 years
**Preferred Qualifications:**
**Functional Skills:**
+ Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)
+ Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)
+ Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)
+ Experience with popular large language models like OPEN AI
+ Experience with language models and frameworks like Langchain or llamaIndex
+ Proficiency with prompt engineering, model fine tuning
+ Familiarity with DevOps CICD build and deployment pipeline
+ Experience with design patterns, data structures, test-driven development.
**Professional Certifications:**
+ AWS, Data Science Certifications(preferred)
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills.
+ Ability to work effectively with global, virtual teams.
+ High degree of initiative and self-motivation.
+ Ability to manage multiple priorities successfully.
+ Team-oriented, with a focus on achieving team goals.
+ Strong presentation and public speaking skills.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Role Overview

We are looking for an experienced MLOps Lead with deep expertise in Azure and AWS cloud ecosystems , who can design, deploy, and manage scalable AI/ML infrastructure. The ideal candidate should bring a strong background in cloud governance, GenAI tooling, automation, and CI/CD pipelines , with hands-on experience across modern MLOps frameworks.

Key Responsibilities

• Design, implement, and manage scalable cloud-based AI/ML infrastructure across Azure and AWS .
• Drive end-to-end MLOps lifecycle — model deployment, monitoring, retraining, and governance.
• Enable GenAI and Agentic AI platforms leveraging Azure OpenAI, Bedrock, Anthropic Claude, LangChain, etc.
• Implement CI/CD pipelines using Azure DevOps or AWS CodePipeline.
• Ensure security, observability, and compliance across ML and GenAI ecosystems.
• Manage infrastructure automation via Terraform, Bicep, CloudFormation , or similar IaC tools.
• Collaborate with data science and engineering teams to optimize ML workflows, data pipelines, and API integrations.
• Implement monitoring and alerting using Grafana, Prometheus, Azure Monitor, and Application Insights.
• Oversee networking, identity management, and role-based access controls (IAM, RBAC) across clouds.
• Support model lifecycle management — drift monitoring, retraining, technical evaluation, and business validation.

Technical Skills & Expertise

Cloud & MLOps Platforms

• Azure: Azure ML, Azure AI Services, Azure OpenAI, Azure Kubernetes Service (AKS), Databricks, Azure Search, Azure Blob, Cosmos DB, Azure SQL, Azure Functions, Azure Event Hub, Azure Resource Manager (ARM), Bicep.
• AWS: SageMaker, Bedrock, Lambda, DynamoDB, S3, RDS, Redshift, ECR, CloudFormation, CDK, KMS, EventBridge, Step Functions.

AI/ML & Programming

• Hands-on in Python , with exposure to TensorFlow, PyTorch, scikit-learn.
• Understanding of LLM tokenization, prompt injection risks, jailbreak prevention, and AI safety techniques.
• Familiarity with LangChain, LlamaCloud, AI Foundry , and related frameworks.
• Experience in model monitoring, retraining, and evaluation workflows.

DevOps & Infrastructure

• Expertise in CI/CD pipelines , containerization (Docker, Kubernetes) , and infrastructure automation .
• Strong in governance, audit logging, security policies (Azure Policy, AWS SCP, IAM).
• Deep understanding of networking, DNS, load balancers, VNets/VPCs, VPNs.
• Skilled in IaC tools – Terraform, Bicep, ARM, CloudFormation.

Monitoring & Observability

• Experience with Grafana, Prometheus, Application Insights, Log Analytics Workspaces, Azure Monitor.

Security & Access Management

• Understanding of Microsoft AD, least privilege principles, IAM, RBAC.

Testing & Automation

• Familiarity with unit testing and integration testing in CI/CD workflows (preferably Azure DevOps).

Good to Have

• Experience with Azure Bot Framework , M365 Copilot , and APIM .
• Exposure to code assistants such as GitHub Copilot, Cursor, Claude Code.
• Knowledge of Boto3 SDK (AWS Python) and TypeScript for IaC .

Preferred Background

• Strong background in cloud infrastructure engineering and machine learning operations .
• Proven ability to lead cross-functional teams and implement AI governance at scale.
• Excellent problem-solving, communication, and documentation skills.

Machine Learning Engineer

Location: Chennai / Onsite

Company: Ebitaus Private Limited

Experience: 2–4 years | Employment Type: Full-time

About the Role

We are seeking a Machine Learning Engineer to build and optimize our AI-driven Document Intelligence system. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Small Language Models (SLMs), and open-source AI frameworks to extract and structure data from unstructured documents efficiently and securely

Roles and Responsibilities:

• Design and develop ML/NLP models for document understanding and content extraction.

• Build OCR + NLP pipelines and leverage frameworks like LangChain, LlamaIndex, and Hugging Face.

• Fine-tune transformer-based models (BERT, LayoutLM, Donut, etc.) for structured output.

• Implement RAG pipelines, prompt-based extraction, and agentic AI workflows.

• Collaborate with product and backend teams to deploy scalable AI services.

Skills Required:

• Minimum 2 years of of working experience in Machine Learning, NLP.

• Strong in Python, PyTorch/TensorFlow, and OCR tools (PaddleOCR, etc.).

• Familiarity with vector databases (FAISS, Pinecone, Chroma) and LLM orchestration frameworks.

• Experience in model fine-tuning, prompt engineering, and data preprocessing.

• Bonus: Exposure to FinTech, agentic AI, or open-source AI projects

Note:

Minimum 2 years of work experience in ML mandatory.

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems.

Key Responsibilities:

• Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.
• Fine-tune pre-trained LLMs for specific tasks and domains.
• Conduct research on new techniques for improving the performance and capabilities of generative AI models.
• Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.
• Evaluate and analyse the performance of ML/generative AI models.
• Stay up to date on the latest advancements in generative AI research.
• Facilitate the development and deployment of proof-of-concept Generative AI systems.

Qualifications:

• Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• 3-5 years of experience in generative AI or related fields.
• Experience in building data pipelines, deploying ML/GenAI models in production, and monitoring and maintaining their performance.
• Strong programming skills in Python.
• Familiarity with RAG and other techniques for building generative models.
• Extensive experience with Git, Docker and a good understanding of Linux for managing servers.
• Experience with cloud-based ecosystems, especially AWS ML/GenAI services.
• Exposure to ML/GenAI frameworks and tools.
• Excellent communication and collaboration skills.
• Ability to work independently and in a team-oriented environment.
• Methodical and meticulous towards work and planning.

Job Responsibilities

• Development and integration of Python-based applications with LLMs (OpenAI, DeepSeek, Anthropic, LLaMA, etc.).
• Architect and implement LLM pipelines including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and evaluation. Design scalable microservices and APIs for AI features.
• Collaborate with MLOps teams to deploy and monitor AI models in production. Ensure performance optimization, cost efficiency, and security in LLM workflows.
• Guide the team on Python best practices, code reviews, and technical problem-solving. Stay updated on emerging AI/LLM advancements and propose adoption where beneficial.

Mandatory Skills

• Strong proficiency in Python (FastAPI, Flask). Solid experience with LLM integration (OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex). Understanding of RAG pipelines (vector databases like Pinecone, Weaviate, FAISS, Milvus). Experience with prompt engineering & evaluation techniques. Knowledge of MLOps tools (MLflow),
• Kubeflow, Langfuse) and deployment on AWS/GCP/Azure. Familiarity with containerization and orchestration (Docker, Kubernetes). Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.
• Familiarity with containerization and orchestration (Docker, Kubernetes). Strong grasp of REST APIs, GraphQL, and microservices architecture. Knowledge of model fine-tuning and performance optimization.

Optional Skills

• Excellent leadership and mentoring abilities. Strong problem-solving and analytical skills.
• Effective communication with technical and non-technical stakeholders.
• Ability to work in a fast-paced, evolving AI environment.
• Experience with agentic AI or Model Context Protocol (MCP).
• Background in data pipelines (ETL, streaming data).
• Exposure to AI security & compliance practices. Prior to work in scalable enterprise AI products.