12269 AI Machine Learning Engineer jobs in india

A Snapshot of Your Day
We are seeking a skilled AI/Machine Learning Engineer to join our team and help build innovative machine learning solutions that drive business outcomes. You will collaborate with multi-functional teams including data scientists, software engineers, and product managers to design, develop, and maintain robust machine learning models and workflows. Your work will involve transforming raw data into actionable insights, optimizing algorithms for performance, and integrating AI capabilities into dynamic applications to provide seamless user experiences and enhanced functionality

How You'll Make An Impact

• Create end-to-end workflows for the training and inference pipeline of the machine learning models.
• Responsible for designing, developing, and implementing multi-step RAG (Retrieval-Augmented Generation), agentic, or tool-augmented workflows using Python and frameworks like LangChain and LangGraph.
• Know the latest advancements in agentic AI, large language model (LLM) orchestration, and tools within the Python ecosystem.
• Build and optimize RAG pipelines using vector stores such as FAISS, AWS OpenSearch.
• Implement solutions for processing and analyzing time series data using libraries like Pandas and NumPy, enhancing data-driven decision-making.
• Write, evaluate, and optimize prompts for LLMs to improve the accuracy and efficiency of AI-driven applications.
• Collaborate with other developers to create, deploy, and maintain applications for different platforms.
• Write and review code for multiple applications, ensuring high quality and readability.
• Conduct unit testing and integration analysis to refine product performance.
• Ensure consistency between delivered product features and business requirements.
• Optimize application performance and resolve issues across different platforms.

What You Bring

• You hold a Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field.
• Proven 3+ years of experience as a Machine Learning Engineer or AI Developer in building complex AI-driven applications.
• Proficient programming experience in Python, with hands-on knowledge of libraries such as scikit-learn, Numpy, Pandas, Langchain, LangGraph, TensorFlow, or PyTorch.
• Familiarity with building APIs (Application Programming Interfaces) and integrating third-party libraries.
• Understanding of AWS services for deploying FastAPI applications (e.g., Lambda, S3, ECS, SageMaker, StepFunctions) or Basic understanding of the Azure services.
• Familiarity with the Agile development lifecycle.
• Knowledge of version control tools such as Git and CI/CD processes using Jenkins or similar tools.
• Strong problem-solving and critical-thinking abilities.
• Strong communication skills to support engagement with various collaborators.
• Ability to work under pressure and adhere to tight deadlines.
• Capability to switch between different projects as needed (e.g., application development vs. AI/ML Research).
• Experience with backend integrations relevant to machine learning applications and data pipelines, such as AWS services (e.g., SageMaker, Lambda, S3, Step Function) or other cloud-based platforms (Azure).
• Understanding of standard methodologies for deploying and managing AI/ML models in production environments.
• Understanding of time series analysis techniques and familiarity with handling time-dependent data using libraries such as Sklearn, Pandas and NumPy, along with knowledge of leveraging LLMs for various natural language processing tasks and user interactions in AI applications.
• Prior experience with model testing and validation frameworks (e.g., MLflow, Pytest for Python) to ensure the robustness and reliability of machine learning solutions.
• Proficiency in data engineering practices, including data wrangling, cleaning, and preprocessing for machine learning tasks.

About The Team
In the central Digital Products and Solutions (DPS) organization, our Software Application and Engineering department is responsible for developing software solutions for both internal and external customers.

In DPS, our software products already cover a wide range of categories, and we see many opportunities for growth: Asset Performance Management, Energy Management, Asset Monitoring, Asset Health Prediction, Customer Portal & AI-assisted Applications, Connectivity & Edge, Backend Core / Domain / Platform Services, and Professional Services.

Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. We meet the growing energy demand across 90+ countries while ensuring our climate is protected. With ~100,000 dedicated employees, we not only generate electricity for over 16% of the global community, but we're also using our technology to help protect people and the environment.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy:

Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.

Rewards/Benefits

• Employees are eligible for Remote Working arrangements up to 2 days per week.
• Opportunities to work with a distributed team
• Opportunities to work on and lead a variety of innovative projects
• Medical benefits
• Time off/Paid holidays and parental leave
• Continual learning through the -Energy platform

Key Responsibilities

Learn and assist in building generative AI chatbots using tools like OpenAI, Azure OpenAI, and Copilot Studio

Work with senior engineers to explore and experiment with LLMs, SLMs, and Agentic Frameworks (e.g. CrewAI, LangGraph)

Support the development and fine-tuning of ML models with guidance

Help integrate AI systems with Azure services (Cognitive Services, ML Services, Blob Storage, etc.)

Participate in reading and annotating FAQ documents and transforming them into structured knowledge for the AI bots

Assist in testing, evaluating, and improving chatbot performance

Document learnings, models, and workflows clearly for reuse

Required Skills Knowledge (to Learn Or Possess)
Strong interest in AI/ML, especially Generative AI

Basic knowledge of Python

Familiarity with any one: PyTorch, TensorFlow, or HuggingFace

Good communication and documentation skills

Willingness To Work With Tools Like
Azure ML Services

Azure Cognitive Search / Blob / SQL

Copilot Studio

OpenAI APIs

GitHub Copilot

Prompt engineering and RAG (Retrieval-Augmented Generation)

CrewAI, LangGraph, or other agentic frameworks

Basics of Conversational UX and chatbot testing

Azure DevOps, Azure Functions, and AKS"

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Job Details:

Title:
AI & Machine Learning Engineer

Location: On-site (Pune, Maharashtra)

Employment Type: Full-Time

Experience: 1–4 years

CTC: As Per Company Norms

Important Notes:

Only Immediate Joiners preferred

Candidates from Maharashtra preferred

Preference for 2+ years in the same company

Local Pune candidates will get priority

Job Summary:

We are seeking a skilled AI/ML Engineer to build, deploy, and optimize intelligent systems. The role involves working on ML pipelines, LLMs, and retrieval-augmented architectures for real-world applications.

Responsibilities:

Build & maintain RAG pipelines (LlamaIndex, LangChain, vector DBs)

Train & deploy ML/DL models (CNN, RNN, Transformers, YOLO, Stable Diffusion)

Develop backend systems & APIs (FastAPI, Flask, Django)

Implement CI/CD & MLOps best practices (Docker, K8s, MLflow, Jenkins)

Collaborate to improve system design & model performance

Skills Required:

Python (primary), Bash/Shell scripting

ML/DL (Regression, XGBoost, CNNs, Transformers, etc.)

NLP (Hugging Face, embeddings, preprocessing)

LLMs (GPT, BERT, T5, LLaMA, Mistral)

RAG (LlamaIndex preferred), Vector DBs (FAISS, Qdrant, ChromaDB)

Cloud (AWS, GCP, Azure)

Databases (SQL, PostgreSQL, SQLite)

Education:

B.Tech/M.Tech/MS in Computer Science, Data Science, Engineering, Statistics, or related fields.

How to Apply:

Drop your CV to

Subject line: Application for
AI & Machine Learning Engineer

Include in your email:

Current Location

Total Relevant Experience

Current CTC

Expected CTC

Notice Period

Immediate Joiner Confirmation (Yes/No)

• Only shortlisted candidates will be contacted for the initial screening round.

Position Summary:

As an AI Machine Learning Engineer you are responsible for developing AI capable of mimicking human thought processes as closely as possible so that they can function reliably and effectively. You will be responsible for designing, developing, and managing artificial intelligence (AI) systems that can autonomously “generate” content, such as text and images. You develop and leverage deep learning and machine learning techniques to train AI models on large datasets, enabling these models to generate new, original content that mimics human-like creativity, using your expertise in algorithm optimization, data modeling, to apply AI to solve complex, creative challenges.

Essential functions of the job include but are not limited to:

Qualifications:

Minimum Required:

Skills:

Competencies:

Job Details:

Title:
AI & Machine Learning Engineer (Generative AI)

Location:
On-site – Pune, Maharashtra

Employment Type:
Full-Time

Experience:
1–4 years

CTC:
As per company norms

Preferences:

Immediate Joiners only

Candidates from Maharashtra preferred

2+ years in the same organization preferred

Local Pune candidates will get priority

Role Summary:

We're looking for a highly skilled
AI/ML Engineer
to design, develop, and deploy intelligent systems leveraging
LLMs, RAG architectures, and advanced ML/DL models
. The ideal candidate will contribute to building scalable AI solutions that power real-world applications across multiple domains.

Key Responsibilities:

• Design and maintain
  Retrieval-Augmented Generation (RAG)
  pipelines using
  LlamaIndex, LangChain
  , and
  vector databases
  (FAISS, Qdrant, ChromaDB).
• Develop, train, and deploy
  ML/DL models
  (CNNs, RNNs, Transformers, YOLO, Stable Diffusion) for varied business use cases.
• Build and manage
  scalable backend systems and REST APIs
  using
  FastAPI, Flask, or Django
  .
• Implement
  CI/CD and MLOps best practices
  for automation, reproducibility, and monitoring (Docker, Kubernetes, MLflow, Jenkins, GitHub Actions).
• Develop and integrate
  Chatbots, Conversational AI, and Agentic AI systems
  to enable autonomous workflows.
• Collaborate with cross-functional teams to optimize system architecture, model performance, and data quality.

Technical Skills:

Languages:
Python, Bash/Shell

ML/DL:
Regression, XGBoost, CNNs, RNNs, Transformers, YOLO, Stable Diffusion

NLP & LLMs:
Hugging Face, GPT, BERT, T5, LLaMA, Mistral, Prompt Engineering

RAG & Vector DBs:
LlamaIndex, LangChain, FAISS, Qdrant, ChromaDB

Chatbots & Agentic AI:
Dialogflow, Rasa, LangChain Agents, AutoGen

Backend:
FastAPI, Flask, Django, REST APIs

MLOps:
Docker, Kubernetes, MLflow, DVC, Jenkins, GitHub Actions

Cloud:
AWS, GCP, Azure

Databases:
SQL, PostgreSQL, SQLite

Data Engineering:
ETL, Data Cleaning, Pipelines

Education:

B.Tech/M.Tech/MS in Computer Science, Data Science, Engineering, Statistics, or related fields.

How to Apply:

Drop your CV to

Subject line:

AI & Machine Learning Engineer (Generative AI)

Include in your email:

• Your 
  Current CTC (Cost to Company)
• Your Expected CTC
• Your Notice Period
• Your Current Location
• Are you an Immediate Joiner (Yes/No)?
• Your Last Working Date
   (if applicable)
• Your 
  Total Experience & Relevant Experience
• Any Employment Gap/Education Gap
   (if applicable)
• Have you attended an 
  interview with Onelab in the past 1 year?

Only shortlisted candidates will be contacted for the initial screening round.

#WeAreHiring #HiringNow #OnelabVentures

We are opening a priority requirement for Senior AI/Machine Learning Engineer . Please note that we need quality over quantity —only share profiles that strictly match the requirements below. Bulk submissions without alignment will not be considered.

Position: Senior AI/Machine Learning Engineer (LLM Fine-Tuning & Training)

Experience: 7+ years in ML/AI engineering with recent (last 8–12 months) hands-on expertise in fine-tuning and large-scale training of LLMs/VLMs

Budget :- 1.6 LPM

Skills:

•⁠ ⁠trong expertise in PyTorch, Hugging Face Transformers, PEFT (LoRA/QLoRA)

•⁠ nds-on experience with distributed training (DDP, FSDP, DeepSpeed, Accelerate)

•⁠ miliarity with evaluation frameworks (lm-eval-harness, custom metrics)

Engagement: Full-time Contract (2 months)

Locations: India

Availability: Full-time, with 4 hours overlap in PST timezone

Start Date : Within 1 week

Evaluation Process: : Technical Interview(Flocareer) + Delivery Round

Important Note:

We are looking for active ICs who have directly worked on model fine-tuning/training in the last 8–12 months. Managerial profiles will not be considered.

Kindly prioritize this role and share only qualified profiles with immediate availability at the earliest.

Role Overview:

We are looking for a Senior AI/Machine Learning Engineer (7+ years of experience) who is a stellar individual contributor with recent hands-on expertise in fine-tuning and large-scale training of modern models (LLMs/VLMs).

This is a hands-on role where you will :

• Lead fine-tuning workflows, large-scale training runs, and evaluation design.

• Collaborate closely with researchers to bring cutting-edge approaches from papers into production.

• Work directly with customers to align performance metrics, validation, and deployment readiness.

Note: This is not a managerial role. We are seeking candidates who are currently active ICs, heavily involved in model fine-tuning/training in the last 8–12 months.

What You'll Do Day-to-Day

•⁠ ⁠Fin une and train LLMs/VLMs at scale (LoRA/QLoRA, PEFT methods).

•⁠ ild reproducible training pipelines with distributed training and mixed precision.

•⁠ sign and run robust evaluation frameworks (task-specific + lm-eval-harness).

•⁠ anslate research papers into working implementations, collaborating with researchers.

•⁠ rk with customers to validate models against business and performance needs.

•⁠ timize training runs with profiling, performance tuning, and efficiency improvements.

•⁠ intain experiment tracking, reproducibility, and structured model artifacts.

Requirements

•⁠ years in ML/AI engineering, with a strong recent focus on fine-tuning and training large models.

•⁠ pert in PyTorch, Hugging Face Transformers, and PEFT (LoRA/QLoRA).

•⁠ rong experience with distributed training (DDP, FSDP, DeepSpeed, Accelerate).

•⁠ illed with evaluation frameworks (lm-eval-harness, custom metrics, task benchmarks).

•⁠ oven ability to reproduce and improve results from recent research papers.

•⁠ rong coding practices in Python, with modular, clean implementations.

•⁠ miliarity with experiment tracking tools (Weights & Biases, MLflow).

•⁠ ility to interact with customers and researchers to translate requirements into engineering solutions

(Bonus) Preferred Qualifications:

•⁠ perience with other ML libraries (e.g., PyTorch, Flax)

•⁠ ckground in ML research or scientific computing

•⁠ perience with production model monitoring and governance

Job Type: Full-time

Pay: ₹500, ₹1,200,000.00 per year

Work Location: In person

At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge.

Skillsoft is the global leader in eLearning. Trusted by the world's leading organizations, including 65% of the Fortune 500. Our 100,000+ courses, videos and books are accessed over 100 million times every month, across more than 100 countries. At Skillsoft, we believe knowledge is the fuel for innovation and innovation is the fuel for business growth. Join us in our quest to democratize learning and help individuals unleash their edge.

Are you ready to shape the future of learning through cutting-edge AI? As a Principal AI/Machine Learning Engineer at Skillsoft, you'll dive into the heart of innovation, crafting intelligent systems that empower millions worldwide. From designing generative AI solutions to pioneering agentic workflows, you'll collaborate with multiple teams to transform knowledge into a catalyst for growth—unleashing your edge while helping others do the same. Join us in redefining eLearning for the world's leading organizations

Responsibilities

• Hands-on AI/ML software engineer
• Prompt engineering, agentic workflow development and testing
• Work with product owners to understand requirements and guide new features
• Collaborate to identify new feature impacts
• Evaluate new AI/ML technology advancements and socialize finding
• Research, prototype, and select appropriate COTS and develop in-house AI/ML technology
• Consult with external partners to review and guide development and integration of AI technology
• Collaborate with teams to design, and guide AI development, and enhancements
• Document designs and implementation to ensure consistency and alignment with standards
• Create documentation including system and sequence diagrams
• Create appropriate data pipelines for AI/ML training and inference
• Analyze, curate, cleanse, and preprocess data
• Utilize and apply generative AI to increase productivity for yourself and the organization
• Periodically explore new technologies and design patterns with proof-of-concept
• Participate in developing best practices and improving operational processes
• Present research and work to socialize and share knowledge across the organization
• Contribute to patentable AI innovations

Environment, Tools & Technologies

• Agile/Scrum
• Operating Systems – Mac, Linux
• JavaScript, , Python
• PyTorch, Tensorflow, Keras, OpenAI, Anthropic, and friends
• Langchain, Langgraph, etc.
• APIs GraphQL, REST
• Docker, Kubernetes
• Amazon Web Services (AWS), MS Azure
• SQL: Postgres RDS
• NoSQL: Cassandra, Elasticsearch (VectorDb)
• Messaging – Kafka, RabbitMQ, SQS
• Monitoring – Prometheus, ELK
• GitHub, IDE (your choice)

Skills & Qualifications: (8+ years experience)

• Experience with LLMs and fine-tuning models
• Development experience including unit testing
• Design and documentation experience of new APIs, data models, service interactions
• Familiarity with and ability to explain:
• system and API security techniques
• data privacy concerns
• microservices architecture
• vertical vs horizontal scaling
• Generative AI, NLP, DNN, auto-encoders, etc.

Attributes For Success

• Proactive, Independent, Adaptable
• Collaborative team player
• Customer service minded with an ownership mindset
• Excellent analytic and communication skills
• Ability and desire to coach and mentor other developers
• Passionate, curious, open to new ideas, and ability to research and learn new technologies

More About Skillsoft
Skillsoft delivers online learning, training, and talent solutions to help organizations
unleash their edge
. Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets – their people – and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology & Development, Digital Transformation, and Compliance.

Skillsoft is partner to thousands of leading global organizations, including many Fortune 500 companies. The company features three award-winning systems that support learning, performance and success: Skillsoft learning content, the Percipio intelligent learning experience platform, which offers measurable impact across the entire employee lifecycle. Learn more at

**Thank you for taking the time to learn more about us.

If this opportunity intrigues you, we would love for you to apply**
NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.

Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

Job Details:

Title:
AI & Machine Learning Engineer

Location: On-site (Pune, Maharashtra)

Employment Type: Full-Time

Experience: 1–4 years

CTC: As Per Company Norms

Important Notes:

Only Immediate Joiners preferred

Candidates from Maharashtra preferred

Preference for 2+ years in the same company

Local Pune candidates will get priority

Job Summary:

We are seeking a skilled AI/ML Engineer to build, deploy, and optimize intelligent systems. The role involves working on ML pipelines, LLMs, and retrieval-augmented architectures for real-world applications.

Responsibilities:

Build & maintain RAG pipelines (LlamaIndex, LangChain, vector DBs)

Train & deploy ML/DL models (CNN, RNN, Transformers, YOLO, Stable Diffusion)

Develop backend systems & APIs (FastAPI, Flask, Django)

Implement CI/CD & MLOps best practices (Docker, K8s, MLflow, Jenkins)

Collaborate to improve system design & model performance

Skills Required:

Python (primary), Bash/Shell scripting

ML/DL (Regression, XGBoost, CNNs, Transformers, etc.)

NLP (Hugging Face, embeddings, preprocessing)

LLMs (GPT, BERT, T5, LLaMA, Mistral)

RAG (LlamaIndex preferred), Vector DBs (FAISS, Qdrant, ChromaDB)

Cloud (AWS, GCP, Azure)

Databases (SQL, PostgreSQL, SQLite)

Education:

B.Tech/M.Tech/MS in Computer Science, Data Science, Engineering, Statistics, or related fields.

How to Apply:

Drop your CV to

Subject line: Application for
AI & Machine Learning Engineer

Include in your email:

Current Location

Total Relevant Experience

Current CTC

Expected CTC

Notice Period

Immediate Joiner Confirmation (Yes/No)

Only shortlisted candidates will be contacted for the initial screening round.

Job title – Senior AI/Machine Learning Engineer (LLM Fine-Tuning & Training)

Position: Senior AI/Machine Learning Engineer

Experience: 7+ years in ML/AI engineering, with recent (last 8–12 months) hands-on expertise in fine-tuning and large-scale training of LLMs/VLMs

Location: Remote

Openings : 1

Job Summary

We are seeking a Senior AI/Machine Learning Engineer who is a strong individual contributor (IC) with extensive hands-on experience in fine-tuning and large-scale training of LLMs/VLMs. This is a highly technical, non-managerial role where you will directly lead training workflows, build scalable pipelines, and collaborate with researchers and customers to deliver cutting-edge model performance.

Key Responsibilities

· Fine-tune and train large-scale LLMs/VLMs using LoRA/QLoRA and other PEFT methods.

· Build reproducible training pipelines with distributed training and mixed precision (DDP, FSDP, DeepSpeed, Accelerate).

· Design and execute robust evaluation frameworks (task-specific metrics, lm-eval-harness, custom benchmarks).

· Translate state-of-the-art research into practical implementations in collaboration with research teams.

· Work directly with customers to validate models against business goals and performance needs.

· Optimize training efficiency through profiling, performance tuning, and system-level improvements.

· Maintain experiment tracking, reproducibility, and structured documentation of model artifacts.

Requirements

· 7+ years of ML/AI engineering experience.

· Strong recent hands-on expertise (last 8–12 months) in fine-tuning and training LLMs/VLMs.

· Expert-level proficiency in PyTorch, Hugging Face Transformers, and PEFT (LoRA/QLoRA).

· Hands-on experience with distributed training frameworks (DDP, FSDP, DeepSpeed, Accelerate).

· Skilled with evaluation tools such as lm-eval-harness and custom task metrics.

· Proven ability to implement and improve research results from academic papers.

· Strong coding practices in Python, with modular and reproducible implementations.

· Experience with experiment tracking tools (e.g., Weights & Biases, MLflow).

· Excellent collaboration skills to work with researchers and end customers.

Job Type: Contractual / Temporary

Contract length: 2 months

Pay: ₹50, ₹60,000.00 per month

Work Location: In person