948 Data Science jobs in Tamil Nadu

Greetings from Colan Infotech!

Role - Data Scientist

Experience - 6+ Years

Job Location - Chennai

Notice Period - Immediate to 30 Days

Primary Skills Needed   : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM

Secondary Skills Needed   : Keras, OpenCV, Azure or AWS

Job Description:-

• Practical knowledge and working experience on Statistics and Operation Research methods.
• Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
• Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
• Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
• Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
• Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
• Comprehend business issues and propose valuable business solutions.
• Design Factual or AI/profound learning models to address business issues.
• Design Statistical Models/ML/DL models and deploy them for production.
• Formulate what information is accessible from where and how to augment it.
• Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j

Greetings from Colan Infotech!

Role - Data Scientist

Experience - 6+ Years

Job Location - Chennai/Bangalore

Notice Period - Immediate to 30 Days

Primary Skills Needed   : AI/ML, Tensorflow, Django, Pytorch, NLP, Image processing,Gen AI,LLM

Secondary Skills Needed   : Keras, OpenCV, Azure or AWS

Job Description:-

• Practical knowledge and working experience on Statistics and Operation Research methods.
• Practical knowledge and working experience in tools and frameworks like Flask, PySpark, Pytorch, tensorflow, keras, Databricks, OpenCV, Pillow/PIL, streamlit, d3js, dashplotly, neo4j.
• Good understanding of how to apply predictive and machine learning techniques like regression models, XGBoost, random forest, GBM, Neural Nets, SVM etc.
• Proficient with NLP techniques like RNN, LSTM and Attention based models and effectively handle readily available stanford, IBM, Azure, Open AI NLP models.
• Good understanding of SQL from a perspective of how to write efficient queries for pulling the data from database.
• Hands on experience on any version control tool (github, bitbucket). Experience of deploying ML models into production environment experience (MLOps) in any one of the cloud platforms like Azure and AWS
• Comprehend business issues and propose valuable business solutions.
• Design Factual or AI/profound learning models to address business issues.
• Design Statistical Models/ML/DL models and deploy them for production.
• Formulate what information is accessible from where and how to augment it.
• Develop innovative graphs for data comprehension using d3js, dashplotly and neo4j

Interested candidates send updated resume to

Senior Data Scientist

Join our high-performing team, honored with the prestigious "Outstanding Data Engineering Team" Award at DES 2025 for setting new benchmarks in data excellence.

About the Role:

We are looking for a skilled and passionate Data Scientist who brings hands-on expertise in Python programming, and Generative AI (GenAI) to help us design, build, and scale intelligent, AI-powered solutions. The ideal candidate will have deep experience with NLP, Computer Vision (CV), LLMs, FastAPI, vector databases, and modern machine learning pipelines.

Key Responsibilities:

• Design and implement AI/ML models for solving real-world business problems using Python and Azure ML.

• Develop and deploy RAG-based solutions integrating embedding techniques, chunking, and retrieval strategies.

• Work on OpenAI/GenAI-based models and fine-tune for specific enterprise use cases.

• Build and consume REST APIs using FastAPI or Django.

• Leverage Azure Form Recognizer for intelligent document processing.

• Implement CI/CD pipelines for model deployment and automation.

• Work with NoSQL and Vector Databases to store and retrieve high-dimensional data.

• Collaborate with cross-functional teams to build scalable and robust ML pipelines.

• Apply Deep Learning and NLP/CV techniques to enhance product features.

Primary Skills Required:

• Strong expertise in Python programming

• Experience with GCP Cloud services.

• Hands-on with FastAPI, framework

• Good understanding of CI/CD pipelines

• Proficiency in GenAI and OpenAI models

• Expertise in NLP, Computer Vision, Machine Learning, and Deep Learning

• Familiarity with NoSQL Databases (e.g., MongoDB, Cosmos DB)

• Experience with Vector Databases (e.g., FAISS, Pinecone, Qdrant)

• Knowledge of embedding & chunking techniques

• Experience in building RAG (Retrieval-Augmented Generation) based solutions

• Strong grasp of retrieval methods and information retrieval

Notice Period - Immediate - 30 Days

Location: Chennai, Coimbatore, Pune, Bangalore

Experience : 6 Years -12 Years

Regards,

TA Team

Senior Data Scientist

Join our high-performing team, honored with the prestigious "Outstanding Data Engineering Team" Award at DES 2025 for setting new benchmarks in data excellence.

About the Role:

We are looking for a skilled and passionate Data Scientist who brings hands-on expertise in Python programming, and Generative AI (GenAI) to help us design, build, and scale intelligent, AI-powered solutions. The ideal candidate will have deep experience with NLP, Computer Vision (CV), LLMs, FastAPI, vector databases, and modern machine learning pipelines.

Key Responsibilities:

• Design and implement AI/ML models for solving real-world business problems using Python and Azure ML.

• Develop and deploy RAG-based solutions integrating embedding techniques, chunking, and retrieval strategies.

• Work on OpenAI/GenAI-based models and fine-tune for specific enterprise use cases.

• Build and consume REST APIs using FastAPI or Django.

• Leverage Azure Form Recognizer for intelligent document processing.

• Implement CI/CD pipelines for model deployment and automation.

• Work with NoSQL and Vector Databases to store and retrieve high-dimensional data.

• Collaborate with cross-functional teams to build scalable and robust ML pipelines.

• Apply Deep Learning and NLP/CV techniques to enhance product features.

Primary Skills Required:

• Strong expertise in Python programming

• Experience with GCP Cloud services.

• Hands-on with FastAPI, framework

• Good understanding of CI/CD pipelines

• Proficiency in GenAI and OpenAI models

• Expertise in NLP, Computer Vision, Machine Learning, and Deep Learning

• Familiarity with NoSQL Databases (e.g., MongoDB, Cosmos DB)

• Experience with Vector Databases (e.g., FAISS, Pinecone, Qdrant)

• Knowledge of embedding & chunking techniques

• Experience in building RAG (Retrieval-Augmented Generation) based solutions

• Strong grasp of retrieval methods and information retrieval

Notice Period - Immediate - 30 Days

Location: Chennai, Coimbatore, Pune, Bangalore

Experience : 6 Years -12 Years

Regards,

TA Team

Senior Data ScientistJoin our high-performing team, honored with the prestigious "Outstanding Data Engineering Team" Award at DES 2025 for setting new benchmarks in data excellence.About the Role:We are looking for a skilled and passionate Data Scientist who brings hands-on expertise in Python programming, and Generative AI (Gen AI) to help us design, build, and scale intelligent, AI-powered solutions. The ideal candidate will have deep experience with NLP, Computer Vision (CV), LLMs, Fast API, vector databases, and modern machine learning pipelines.Key Responsibilities:• Design and implement AI/ML models for solving real-world business problems using Python and Azure ML.• Develop and deploy RAG-based solutions integrating embedding techniques, chunking, and retrieval strategies.• Work on Open AI/Gen AI-based models and fine-tune for specific enterprise use cases.• Build and consume REST APIs using Fast API or Django.• Leverage Azure Form Recognizer for intelligent document processing.• Implement CI/CD pipelines for model deployment and automation.• Work with No SQL and Vector Databases to store and retrieve high-dimensional data.• Collaborate with cross-functional teams to build scalable and robust ML pipelines.• Apply Deep Learning and NLP/CV techniques to enhance product features.Primary Skills Required:• Strong expertise in Python programming• Experience with GCP Cloud services.• Hands-on with Fast API, framework• Good understanding of CI/CD pipelines• Proficiency in Gen AI and Open AI models• Expertise in NLP, Computer Vision, Machine Learning, and Deep Learning• Familiarity with No SQL Databases (e.g., Mongo DB, Cosmos DB)• Experience with Vector Databases (e.g., FAISS, Pinecone, Qdrant)• Knowledge of embedding & chunking techniques• Experience in building RAG (Retrieval-Augmented Generation) based solutions• Strong grasp of retrieval methods and information retrievalNotice Period - Immediate - 30 DaysLocation: Chennai, Coimbatore, Pune, BangaloreExperience : 6 Years -12 YearsRegards,TA Team

Key Responsibilities:Develop, train, and validate predictive and analytical models using machine learning techniques.Collaborate with data engineers and business teams to define data requirements and success metrics.Deploy machine learning models into production using ML Ops best practices.Build automated pipelines for model training, testing, monitoring, and retraining.Optimize model performance and ensure scalability and reliability.Monitor model drift, performance degradation, and ensure continuous improvement.Implement CI/CD practices for machine learning workflows.Technical Skills Required:Strong proficiency in Python (Pandas, Num Py, Scikit-learn, Py Torch/Tensor Flow).Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, Sage Maker, Vertex AI, or Azure ML).Good understanding of data engineering concepts (ETL, data pipelines, APIs).Hands-on with containerization and orchestration (Docker, Kubernetes).Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment.Strong background in statistics, machine learning algorithms, and model evaluation techniques.Familiarity with version control (Git) and CI/CD pipelines.Preferred Qualifications:Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field.Experience in handling large-scale data pipelines and real-time model serving.Exposure to feature stores and automated model monitoring.Strong problem-solving, analytical, and communication skills.

Key Responsibilities:Develop, train, and validate predictive and analytical models using machine learning techniques.Collaborate with data engineers and business teams to define data requirements and success metrics.Deploy machine learning models into production using ML Ops best practices.Build automated pipelines for model training, testing, monitoring, and retraining.Optimize model performance and ensure scalability and reliability.Monitor model drift, performance degradation, and ensure continuous improvement.Implement CI/CD practices for machine learning workflows.Technical Skills Required:Strong proficiency in Python (Pandas, Num Py, Scikit-learn, Py Torch/Tensor Flow).Experience with ML Ops tools/frameworks (MLflow, Kubeflow, Airflow, Sage Maker, Vertex AI, or Azure ML).Good understanding of data engineering concepts (ETL, data pipelines, APIs).Hands-on with containerization and orchestration (Docker, Kubernetes).Knowledge of cloud platforms (AWS, GCP, or Azure) for ML model deployment.Strong background in statistics, machine learning algorithms, and model evaluation techniques.Familiarity with version control (Git) and CI/CD pipelines.Preferred Qualifications:Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, or related field.Experience in handling large-scale data pipelines and real-time model serving.Exposure to feature stores and automated model monitoring.Strong problem-solving, analytical, and communication skills.

Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.What You’ll DoAnalyze complex datasets to uncover trends, patterns, and actionable insights.Develop predictive models and statistical analyses to support business strategies.Collaborate with cross-functional teams to understand data needs and deliver solutions.Build dashboards and visualizations to communicate findings effectively to stakeholders.Stay ahead of data trends and implement best practices in analytics and machine learning.What We’re Looking ForBachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.Strong programming skills in Python, R, or SQL.Experience with data visualization tools (Tableau, Power BI, etc.).Solid understanding of machine learning algorithms and statistical methods.Excellent problem-solving and communication skills.A curious mindset with a passion for exploring data.Why Join Us?Opportunity to work on exciting, high-impact projects.Collaborative and supportive work environment.Resources for professional development and growth.A chance to shape the future of data-driven decision-making.

Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.What You’ll DoAnalyze complex datasets to uncover trends, patterns, and actionable insights.Develop predictive models and statistical analyses to support business strategies.Collaborate with cross-functional teams to understand data needs and deliver solutions.Build dashboards and visualizations to communicate findings effectively to stakeholders.Stay ahead of data trends and implement best practices in analytics and machine learning.What We’re Looking ForBachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.Strong programming skills in Python, R, or SQL.Experience with data visualization tools (Tableau, Power BI, etc.).Solid understanding of machine learning algorithms and statistical methods.Excellent problem-solving and communication skills.A curious mindset with a passion for exploring data.Why Join Us?Opportunity to work on exciting, high-impact projects.Collaborative and supportive work environment.Resources for professional development and growth.A chance to shape the future of data-driven decision-making.