15,075 AI Ml Engineer jobs in India

Years of experience: 4.5 years - 12 years

Location: Bangalore, Noida, Gurgaon, Pune, Indore, Hyderabad.

Job Description

• Hands-on experience working with SAS to Python conversions.
• Strong mathematics and statistics skills.
• Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc.
• Ability to understand business requirements.
• Use case derivation and solution creation from structured/unstructured data
• Storytelling, Business Communication, and Documentation
• Programming Skills – SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras
• Exploratory Data Analysis
• Machine Learning and Deep Learning Algorithms
• Model building, Hyperparameter tuning, and Model performance metrics
• MLOps, Data Pipeline, Data Engineering
• Statistics Knowledge (Probability Distributions, Hypothesis Testing)
• Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP).
• ML services from Clouds such as AWS, GCP, Azure, and Databricks
• Optional - Databricks, Big Data -Basic knowledge of Spark, Hive

Roles & Responsibilities

• Responsilbe for SAS to python code conversion.
• Acquire skills required for building Machine learning models and deploy them for production.
• Feature Engineering, EDA, Pipeline creation, Model training, and hyperparameter tuning with structured and unstructured data sets. skills
• Develop and deploy cloud-based applications, including LLM/GenAI, into production.

Job Title: AIML Engineer

Job Type: 6-Month Contract, after 6 months it will convert to fulltime

Location: Bengaluru, India

Experience: 4–6 Years

Working Days: Monday to Friday (Saturday & Sunday Off)

Job Description

We are looking for an experienced AIML Engineer with 4–8 years of expertise in AI/ML solutions, specifically in building intelligent applications leveraging LLM orchestration tools.

The ideal candidate will have hands-on experience with Semantic Kernel, LangChain, and LangGraph, along with strong skills in developing, integrating, and deploying AI-powered applications at scale.

Key Responsibilities

• Design, develop, and implement AI/ML models and intelligent workflows using Semantic Kernel, LangChain, and LangGraph.
• Build and deploy LLM-based solutions integrating various APIs and knowledge sources.
• Collaborate with cross-functional teams to define use cases, architecture, and technical roadmaps.
• Perform prompt engineering, fine-tuning, and optimization for large language models (LLMs).
• Ensure scalability, reliability, and efficiency of deployed AI systems.

Required Skills & Qualifications

• 4–8 years of experience in AI/ML development, with exposure to LLM orchestration frameworks.
• Strong hands-on experience with Semantic Kernel, LangChain, and LangGraph.
• Proficiency in Python and common AI/ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with APIs, vector databases, and knowledge graph integration.
• Good understanding of data preprocessing, model tuning, and production deployment.

Grow Your Staff is looking for an AI/ML Engineer for a fintech organization based in Arizona, USA, focused on creating exponential-yield financial products. This is a part-time remote position.

The role will have excellent growth opportunities. You will work directly with the team based in the USA.

Experience required : 3-6 years

CTC : INR 4-7 LPA

Location: Remote

Commitment : 4 hours/day (Monday-Friday)

Time : Flexible hours with reporting time around 1:30 a.m. IST

Responsibilities

• Design, build, and deploy AI/ML models for financial services applications
• Work with LLMs to implement solutions for automation, analysis, and decision-making
• Develop and optimize code in Python for scalable model training and deployment
• Leverage AI/ML tools, frameworks, and agentic architectures for experimentation and production systems
• Collaborate with stakeholders to understand requirements and translate them into technical solutions
• Ensure models meet compliance, accuracy, and performance benchmarks relevant to the financial sector

Requirements  

• Strong programming skills in Python
• Machine Learning Frameworks : Familiarity with TensorFlow, PyTorch, Scikit-learn, or similar
• LLMs : Familiarity with OpenAI, HuggingFace, LangChain, or similar
• Familiarity with agentic frameworks

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field
• Proven experience (3+ years) as an AI/ML Engineer or a similar role
• Excellent communication, documentation, and collaboration skills
• Strong problem-solving ability, with the capacity to work independently

Preferred Qualifications

• Experience in generative AI applications for finance
• Understanding of R and statistical modeling
• Knowledge of MLOps tools for deployment and monitoring
• Exposure to regulatory and compliance considerations in the financial services domain

True ValueHub is an AI-native B2B SaaS solution for manufacturing companies. We help manufacturing companies save costs on direct material procurement. Our AI engine provides visibility into the true cost of manufacturing products and components globally, and reduces sourcing cycle time and new product introduction time to market. We provide detailed total landed cost insights for buyers and suppliers and a secure collaboration platform. Our award-winning technology has been rated as a leading solution in our segment.

We seek experienced AI/ML Engineers with expertise in developing AI/ML solutions to join our engineering team. We are looking for a candidate who is passionate about artificial intelligence, machine learning, and computational statistics. This role involves designing and implementing algorithms and models.

Responsibilities:

Machine Learning Model Development:

• Write clean, efficient, and maintainable code in Python.
• Develop, and deploy machine learning models that address real-world business challenges.
• This includes data preprocessing, feature engineering, model selection, and hyperparameter tuning.
• Collaborate with senior data scientists and developers to integrate machine learning algorithms into applications, train and test ML models, and manage the required datasets.

Data Pipelines:

• Create and maintain data pipelines for efficient data processing and model training.
• Write database queries using SQL to retrieve required data.

Model Evaluation:

• Assist in debugging, testing, and improving applications.
• Rigorous testing and validation procedures to assess model performance

Qualifications:

• Minimum of 3+ years of experience in AI/ML developing advanced solutions.
• Bachelor’s degree in engineering or a related field. Master's degree is a plus.
• Proficiency in programming languages like Python, R, C++, or similar,
• Proficiency in using machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical analysis and data preprocessing techniques.
• Solid knowledge of deep learning, natural language processing, and computer vision.
• Experience in manufacturing and supply chain a plus.
• Excellent analytical and problem-solving skills with the ability to interpret complex cost data and identify cost drivers.
• Good communication and interpersonal skills, with the ability to present cost analysis findings and recommendations to stakeholders.
• Strong attention to detail, organization, and time management skills

Company Description

Riverhouse Technologies helps early-stage startups turn bold ideas into working products rapidly and efficiently. Specializing in zero-to-MVP product development, we offer full-stack engineering, mobile and web applications, and custom ERPs across various sectors including fintech, healthtech, edtech, and consumer platforms. Founded by Siddharth Jain, our company operates from Central India, blending global quality with small-town loyalty. Our mission is to serve as your tech co-founder with a commitment to your success.

Role Description

This is a full-time, on-site role for an AI/ML Engineer located in Bhilai. The AI/ML Engineer will be responsible for designing and implementing machine learning and AI models, analyzing complex datasets, and developing algorithms to optimize performance. Having at least one year of hands-on experience to help us design and refine Large Language Model (LLM)–based products for the EdTech industry. You’ll work closely with senior engineers to create AI-driven tools that enhance learning experiences, leveraging OpenAI and Azure OpenAI technologies.

Qualifications:

• Develop, test, and refine LLM-based products tailored for the EdTech sector.
• Work with OpenAI and Azure OpenAI APIs to integrate and optimize AI models.
• Adapt and fine-tune LLMs for educational content, assessments, and personalized learning experiences.
• Collaborate with product, engineering, and content teams to translate learning needs into AI-powered solutions.
• Conduct evaluations of model performance and implement improvements.
• Ensure responsible AI practices, including data privacy and ethical model use.
• Write clean, maintainable, and well-documented code.
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field (or equivalent experience).
• Excellent problem-solving skills and attention to detail.
• Experience in building AI tools for EdTech or e-learning platforms.
• Familiarity with data preprocessing for educational datasets.
• Exposure to version control (Git) and CI/CD workflows.

Technical Skills:

• 1+ year in AI/ML engineering, with exposure to LLMs preferred.
• Proficiency in Python and AI/ML libraries.
• Experience working with APIs (REST/GraphQL).
• Basic understanding of prompt engineering and fine-tuning LLMs.
• Familiarity with cloud-based AI services, especially Azure OpenAI.

Work Location : Onsite- Bhilai (Chhattisgarh)

Reach Education Pvt. Ltd. is an educational services firm based in Mumbai, India. We are a premium higher education advisory firm founded by HBS (MBA'2010) and CMU (Tepper'2003) alum Vibha Kagzi and focus on the higher education space in India. ReachIvy ( is focused on counselling students targeting top-tier schools internationally.   

We are seeking a highly skilled AI/ML Engineer to join our team and drive the development of an AI-powered, voice-first product . The ideal candidate will combine strong machine learning expertise with hands-on experience in building and integrating voice, speech, and natural language technologies using both open-source and commercial AI tools. 

This role requires someone who thrives in fast-paced, product-driven environments, can work collaboratively across teams, and has the creativity to harness the latest AI advancements to deliver cutting-edge user experiences. 

Key Responsibilities:

• Voice AI Development: Build, train, and fine-tune models for speech-to-text (ASR), text-to-speech (TTS), speaker recognition, and conversational AI. 
• System Architecture: Design and implement end-to-end AI pipelines covering model training, testing, deployment, and monitoring. 
• Tooling & Integration: Leverage both open-source (Whisper, Hugging Face, VLLM, etc.) and commercial APIs (OpenAI, ElevenLabs, etc.) to accelerate development. 
• Collaboration: Work closely with product managers, designers, and engineers to bring AI-driven voice experiences into production at scale. 
• Experimentation & Innovation: Continuously research and evaluate state-of-the-art models, frameworks, and tools to maintain a competitive edge. 
• Deployment: Own deployment workflows in cloud and containerized environments ensuring scalability, reliability, and cost efficiency. 
• MLOps: Build workflows for continuous training, monitoring, and improvement of deployed AI systems.

Requirements:

Must-Have  

• Bachelor’s/Master’s in Computer Science, Data Science, AI/ML, or related field. 
• 3–6 years of experience in AI/ML engineering with a focus on speech or NLP applications . 
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face). 
• Strong understanding of deep learning architectures (transformers, RNNs, CNNs) and optimization techniques. 
• Experience in deploying models in cloud and containerized environments (Docker, AWS/GCP/Azure). 
• Solid grasp of algorithms, data structures, and system design . 

Nice-to-Have  

• Hands-on experience with speech-to-text (ASR) , text-to-speech (TTS) , or voice biometrics . 
• Familiarity with LLMs and conversational AI frameworks. 
• Frontend and backend development exposure (React, Next.js, Node.js, FastAPI, etc.) to collaborate closely with product teams. 
• Experience with databases (SQL, NoSQL, vector databases, PostgreSQL). 
• Startup or fast-paced product-building experience. 

Why Join Us?  

• Build a cutting-edge, voice-first AI product from the ground up. 
• Freedom to experiment with the best AI tools available—free or paid . 
• Collaborate with a passionate, cross-functional team building next-gen AI solutions. 
• Opportunity to shape the AI/ML roadmap and drive innovation at scale. 

**Job Title:** Senior AI/ML Engineer

**Job Type:** Full-Time

**Experience Level:** 3-9 Years

**Job Overview:**

We are seeking a highly skilled AI/ML Engineer to join our dynamic team. The ideal candidate will have strong proficiency in Python, extensive experience with AWS services, and a solid understanding of MLOps principles. This role involves developing, deploying, and maintaining advanced machine learning models that drive business growth and innovation.

**Responsibilities:**

1. **Model Development & Deployment:**

- Develop cutting-edge AI/ML models using Python libraries such as TensorFlow, PyTorch, Scikit-Learn, etc.

- Design and implement scalable ML pipelines using AWS services including SageMaker, Lambda, EC2, and RDS.

- Continuously improve model performance through iterative experimentation and hyperparameter tuning.

2. **Data Engineering:**

- Work closely with data scientists and engineers to ingest, preprocess, and store large datasets efficiently.

- Implement robust data pipelines using AWS Glue, EMR, and Kinesis for real-time data processing.

- Ensure data quality and manage metadata effectively using tools like AWS Data Catalog and Glue DataBrew.

3. **MLOps Practices:**

- Automate model deployment processes using CI/CD tools like AWS CodePipeline and AWS CodeBuild.

- Implement monitoring and logging mechanisms to track model performance and detect anomalies.

- Conduct A/B testing and experiment management to optimize model outcomes.

- Ensure compliance with regulatory standards and best practices in MLOps.

4. **Collaboration & Communication:**

- Collaborate with cross-functional teams including product managers, data scientists, and business stakeholders to understand project requirements.

- Communicate technical findings and recommendations clearly and concisely to non-technical stakeholders.

- Participate in regular code reviews and contribute to the continuous improvement of development processes.

5. **Research & Innovation:**

- Stay updated with the latest advancements in AI/ML and explore innovative solutions to address business challenges.

- Contribute to open-source projects and share knowledge within the broader community.

**Requirements:**

1. **Technical Skills:**

- Proficiency in Python, including familiarity with libraries such as NumPy, Pandas, TensorFlow, PyTorch, and Scikit-Learn.

- Expertise in designing and implementing machine learning pipelines using AWS services (SageMaker, Lambda, EC2, RDS).

- Strong understanding of data engineering principles and experience with AWS Glue, EMR, and Kinesis.

- Familiarity with containerization technologies like Docker and Kubernetes for managing ML workloads.

- Knowledge of cloud-native storage and database solutions.

2. **MLOps Experience:**

- Hands-on experience with automating ML workflows using CI/CD tools like AWS CodePipeline and CodeBuild.

- Experience with model monitoring and logging frameworks like Amazon CloudWatch and X-Ray.

- Understanding of A/B testing and experiment management techniques.

- Compliance with relevant regulations and best practices in MLOps.

About Cognite & ATLAS AI

Cognite is a global industrial AI software-as-a-service (SaaS) company supporting the full-scale digital transformation of heavy-asset industries around the world. Our core product, Cognite Data Fusion (CDF), is a leading industrial DataOps platform. Building on CDF, ATLAS AI is our innovative offering designed to deliver bold, customer-centric innovation powered by artificial intelligence.

The Role

As an AI/ML Engineer in the ATLAS AI Co-Innovation team, you will help push the technical boundaries of what’s possible with industrial GenAI. You’ll design and optimize advanced AI models and agent architectures that interact with complex, real-world industrial data. You’ll operate at the technical core of customer-facing coinnovation, working closely with solution engineers, product teams, and customer data to build smart, scalable AI components that power next-generation industrial workflows.

This role demands strong AI/ML engineering skills, deep curiosity, and the ability to adapt cutting-edge research into usable, high-impact solutions.

Responsibilities

• Model Development & Application Design and apply foundation models to domain-specific tasks, focusing on prompt engineering, reasoning workflows, and tool use with attention to accuracy, robustness, and real-world applicability.
• Agent Architecture Design Develop modular, production-ready agent workflows integrated with CDF and ATLAS AI, leveraging tools, memory, reasoning chains, and APIs.
• Tech Exploration & Integration Evaluate and integrate new GenAI tools, open-source frameworks, and APIs into ATLAS AI workflows.
• System Optimization Benchmark performance, tune retrieval and reasoning pipelines, and ensure scalability in real-world industrial deployments.
• Collaboration & Co-Innovation Work with solution engineers and customer teams to align models and agent behaviors with business value and industrial constraints.

What We’re Looking For

Must-Have Skills

• 6+ years of experience in AI/ML engineering, with hands-on delivery of models.
• Proficiency in working with foundation models (LLMs), including:
• Prompt engineering, evaluation, and (when relevant) fine-tuning.
• RAG pipelines and integration with knowledge bases or vector databases.
• Strong Python skills with experience using frameworks such as LangChain, Transformers, or similar.
• Understanding of cloud-native development, model training workflows, and ML pipeline orchestration (e.g., data labeling, feature selection, model retraining).
• Proven ability to write clean, maintainable, and scalable code, following engineering best practices for testing, version control, and review.
• A maker mindset with bias toward rapid iteration, showing rather than telling, and learning by doing.

Bonus Skills

• Experience with Cognite Data Fusion (CDF).
• Experience integrating AI workflows with time series, asset hierarchies, or knowledge graphs.
• Deep learning or traditional ML background (e.g., model architecture selection, hyperparameter tuning, evaluation pipelines).
• Understanding of industrial data types (e.g., time series, contextual events, industrial knowledge graphs).
• Experience labeling industrial datasets, including annotation strategies and working with imperfect or sparse labels.