5,972 AI Driven Robotics jobs in India

TCS present an excellent opportunity for MACHINE LEARNING

Job Location: Chennai (Only)

Experience required : 4-6 Yrs

Skills: Machine Learning

Technical/Functional Skills

Must Have Skills

• Predictive Modelling, ML pipelines & architecture, Python, Java and R, Machine learning frameworks (like Keras or PyTorch), Statistics, Data Structure, GCP is a preference.
• Must have deep background in NLP, Machine Learning, Deep Learning, Optimization, Algorithm and Software development - Supervised & Unsupervised Learning, Features & Labels, Decision Tree, Naïve Bayes, Gradient Descent, Linear &
• Logistic Regression, SVM, Kernel Methods, Neural Networks, Clustering & K-means Clustering
• Hands-on experience in Python, SQL , PySpark and Machine learning , Libraries, Google Cloud experience, including Big Query, Data Flow, and Apache Beam in cloud environment is expected.
• Building ML Models or delivering impactful customer- facing products
• Understanding of machine learning lifecycle and MLOps - Regression models – linear & non-linear, Classification models, Vectors, Gradient Descent & Cost function, Artificial Neural Networks (ANN) and Loss function

Must have:

- Strong experience in proper model deploying,logging, API development/deployment Verteaxi,GCP, Python, SQL & Deep learning,

- Created, deployed, scheduled and monitored multiple ML based applications (Knowledge of model lifecycle: training validation deployment monitoring)

Essential Skills:

• Proven experience (5+ years) in large scale AIMLDS development and deployment

• Proven work and experience (3+ years) with handling large volumes of data

• Deep knowledge and experimentation with Gen Ai and associated components

• Strong knowledge and experience (5+ years) with of Python and SQL

• Preferred

• Proven Experience (2+ years) with Gen AI and its components like Proprietary LLMs, custom LLM deployments, Vector Search, fine-tuning models

• Proven experience (2+ years) with Search engine development and deployment as hybrid search, re-ranking algorithms, sparse and dense embedding generation and usage

Proven experience with development and deployment of low latency search applications.

Machine Learning Engineer (Contract)

Location: Remote (India)

Experience: 5+ Years

Contract Type: 6 Months

Job Summary:

We're hiring a Machine Learning Engineer to build and deploy intelligent systems for real-world applications. This contract role is perfect for someone passionate about AI/ML and experienced in production-grade model development.

Responsibilities:

• Develop, train, and optimize ML models using Python and modern frameworks
• Collaborate with data scientists and engineers to integrate models into production
• Implement MLOps pipelines and monitor model performance
• Conduct experiments, A/B testing, and continuous model improvement
• Stay updated with the latest in AI/ML research and tools

Requirements:

• 5+ years of experience in machine learning and data science
• Hands-on with TensorFlow, PyTorch, Scikit-learn, and MLflow
• Experience with cloud platforms (GCP preferred) and containerization (Docker/Kubernetes)
• Strong understanding of supervised, unsupervised, and deep learning techniques
• Bachelor's or Master's in Computer Science, AI, or related field

Job Types: Contractual / Temporary, Freelance

Contract length: 6 months

Pay: ₹70, ₹90,000.00 per month

Work Location: Remote

Job Description: Machine Learning & Generative AI Engineer

• Role:
  Machine Learning & Generative AI Engineer
• Job Location:
  Bangalore (Hybrid – 2-3 days from office)
• Experience:
  3-7 years

We value diverse perspectives and encourage applications from women in technology

About the Role

We are seeking a highly skilled
Machine Learning & Generative AI Engineer
to design, build, and deploy advanced ML and GenAI solutions. This role provides the opportunity to work on cutting-edge AI technologies such as
LLM fine-tuning, Transformer architectures, Retrieval-Augmented Generation (RAG)
, and enterprise-scale ML systems. The ideal candidate will combine strong technical expertise with innovative thinking to deliver impactful AI solutions aligned with business needs.

Required Skills & Qualifications

·   3–7 years of experience in
Machine Learning, Deep Learning, and AI model development

·   Strong proficiency in Python
and ML frameworks:
PyTorch, TensorFlow, Scikit-Learn, MLflow

·   Expertise in Transformer architectures
(BERT, GPT, T5, LLaMA, Falcon, etc.) and
attention mechanisms

·   Hands-on experience with Generative AI
: LLM fine-tuning (LoRA, QLoRA, PEFT, full model tuning), instruction tuning, and
prompt optimization

·   Experience with RAG pipelines
– embeddings, vector databases (FAISS, Pinecone, Weaviate, Chroma), and retrieval workflows

·   Strong foundation in
statistics, probability, and optimization techniques

·   Proficiency with cloud ML platforms
(Azure ML / Azure OpenAI, AWS SageMaker / Bedrock, GCP Vertex AI)

·   Familiarity with
Big Data & Data Engineering
: Spark, Hadoop, Databricks, SQL/NoSQL databases

·   Hands-on experience with
CI/CD, MLOps, and automation pipelines
(Airflow, Kubeflow, MLflow)

·   Experience with
Docker, Kubernetes
for scalable ML/LLM deployment

Preferred Qualifications

·   Experience in
NLP & Computer Vision
(Transformers, BERT/GPT models, YOLO, OpenCV)

·   Knowledge of
vector search & embeddings
for enterprise-scale GenAI solutions

·   Exposure to
multimodal AI
(text + image/video/audio) and
Edge AI / federated learning

·   Familiarity with RLHF (Reinforcement Learning with Human Feedback)
for LLMs

·   Understanding of
real-time ML applications
and
low-latency model serving

Key Responsibilities

·   Design, build, and deploy
end-to-end ML pipelines
including data preprocessing, feature engineering, model training, and deployment

·   Develop and optimize
LLM-based solutions
leveraging Transformer architectures for enterprise applications

·   Implement
RAG pipelines
using embeddings and vector databases to integrate domain-specific knowledge into LLMs

·   Fine-tune LLMs on
custom datasets
(text corpora, Q&A, conversational data, structured-to-text) for specialized tasks

·   Ensure
scalable deployment
of ML & LLM models on cloud environments with monitoring, versioning, and performance optimization

·   Collaborate with
data scientists, domain experts, and software engineers
to deliver AI-driven business impact

What We're Looking For

Beyond technical skills, the ideal candidate should excel in:

·   Real-world AI application & deployment

·   Prompt engineering & model evaluation

·   Fine-tuning & customization of LLMs

·   Understanding of LLM internals & ecosystem tools

·   Creativity, problem-solving & innovation

·   Business alignment, security, and ethical AI practices

Integers.Ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Details:

Title:
Machine Learning & AI Developer

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
Machine Learning & AI Developer

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.

The ideal candidate for this role should possess a strong blend of MLOps and ML engineering skills.

Technological Stack: Python, AWS services (ECS, Batch Compute, S3, Timestream, IAM, CloudWatch, Athena), Airflow for orchestration, MLflow for model versioning, GitLab CI, and eventually, AWS SageMaker pipelines.

Data Engineering Skills: Expertise in pipeline monitoring, including getting data from Bulk CDM, investigating query issues, and sending output data to ALTO.

ML Engineering Skills: Experience with debugging forecast and clustering models, setting up and automating CI/CD for ML workflows, developing and deploying end-to-end ML pipelines (data preparation, training, validation, deployment), and a strong background in ML frameworks like LightGBM.

MLOps Engineer to handle the tickets, and Data Engineering tickets/development

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.

Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.

Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.

Analyse pricing, sales, and inventory data.

Develop predictive and rule-based pricing models.

Build and maintain SQL databases and ETL pipelines.

Automate data flow between Excel, SQL& servers.

Ensure data accuracy, consistency, and version control.

Required Candidate profile

Python (pandas, numpy, scikit-learn, matplotlib).

SQL for joining and cleaning multi-table data.

Statistical modelling, regression and outlier handling.

Model export and integration with SQL or Excel.

June 10, 2022 Edison I

Expired on: Sep 7, 2022

Experience:
5+yrs

Job Type:
Full Time

Job Location:
Bangalore Chennai Coimbatore Pune

Job Description –

• Should have good understanding on AI concepts and also must have project experience building ML algorithms
• Must have complete understanding on various data storage methods and integration of all formats of data (Structured and unstructured data models)
• Must be able to design and develop components that caters the frontend applications or expose as APIs for consumptions
• Should have good exposure and understanding on AWS/Azure platform.
• Must understand the Agile process and devops implementation and deployment procedures.
• should be having good experience on Data mining and data cleansing activities.
• should have better understanding on open source market products.
• must have good communication and presentation skills

Sorry This job has expired, please share your updated resume for future consideration.

Your Updated Resume
Sorry This job has expired.

Search

Search For
Most Visited Blog Posts

How technology is transforming the retail sector in 2023 June 1, 2023

How Will Retail Stores Evolve In 2026? June 26, 2023

What is the outlook for online shopping, and how is AR/VR transforming ecommerce? July 12, 2023

Most Visited Blog Posts

How technology is transforming the retail sector in 2023 June 1, 2023

How Will Retail Stores Evolve In 2026? June 26, 2023

What is the outlook for online shopping, and how is AR/VR transforming ecommerce? July 12, 2023

News and Press releases

DI People: Frisco's EDC, Vistra, Lennox International and More Make Moves

MAR 25, 2022

New Spinoff Company Aims to Create Digital Solutions with 'Next-Gen' Technology

MAR 23, 2022

Richardson Mayor visits DFW's leading opportunity creator, InfoVision's HQ and Innovation Lab.

Mar 30, 2021

Podcasts

Consistently Improve Customer Experience With VIP Guest CHITHRAI MANI

May 14, 2021

A machine learning (ML) job involves designing, building, and deploying AI systems that learn from data to make predictions and automate tasks. Key responsibilities include data preprocessing, statistical analysis, developing and training ML models, implementing algorithms, testing and evaluating performance, and collaborating with data scientists and software engineers. The goal is to create efficient, scalable, and self-improving AI solutions for various business applications. Key Responsibilities:

• Data Management:Collect, clean, preprocess, and analyze large datasets to identify patterns and prepare them for model training.
• Model Development:Design, develop, and implement machine learning algorithms and models, including neural networks, for specific tasks like classification, prediction, and forecasting.
• Training and Optimization:Train and retrain models, using test results to evaluate their performance and optimize them for higher accuracy and efficiency.
• System Design:Create and scale data and model pipelines, design and build AI systems, and integrate them into real-world applications.
• Testing & Evaluation:Conduct experiments and tests on AI systems, evaluate model performance, and identify issues or areas for improvement.
• Collaboration:Work with data scientists, data engineers, and business teams to understand requirements, translate them into ML solutions, and ensure models are integrated into workflows.
• Continuous Improvement:Stay updated on the latest advancements in machine learning, explore new techniques, and continuously improve existing models and frameworks.

Essential Skills & Tools:

• Programming:Proficiency in programming languages like Python or R is crucial.
• ML Frameworks:Experience with machine learning frameworks such as TensorFlow or PyTorch is often required.
• Data Science & Statistics:Strong understanding of statistical analysis and data science principles to drive decisions and optimize models.
• Big Data Technologies:Familiarity with big data tools and technologies for handling large datasets.
• Problem-Solving:Ability to analyze complex problems and develop innovative, data-driven solutions.

Job Type: Full-time

Pay: ₹471, ₹1,787,189.77 per year

Work Location: Remote