226 Predictive Modeling jobs in Chennai

Data mining or extracting usable data from valuable data sources.

Using machine learning tools to select features, create and optimize classifiers.

Processing, cleansing, and validating the integrity of data to be used for analysis.

Required Candidate profile

Should have exp of Data Science, Machine learning, Hive, Hadoop,Python, SQL, NLP, Gen AI etc.

Should have Team handling and US Client handling exp.

Should be open for Chennai (Mandatory)

Role: Data Science

Location : Chennai

iSolve Technologies is a Business Transformation company. We partner with our customers, understand their business, hypothesize, and analyze process gaps, build strategy, and bring 100% visibility to every step of the operation with innovative technology. Customers typically come to us for our in-depth understanding of business and stay with us for our service excellence

Job Summary:

We are seeking a passionate and motivated
AI/ML Engineer
with 2+ years of hands-on experience to join our applied machine learning team. The ideal candidate will have a solid foundation in machine learning, deep learning, and data preprocessing, and will be responsible for building, training, evaluating, and deploying ML models across various real-world applications.

You will play a key role in developing intelligent systems that drive our core AI products and solutions, with opportunities to experiment and innovate with state-of-the-art technologies like
transformers, LLMs, computer vision
, and
generative AI
.

Key Responsibilities:

· Design, develop, and deploy ML models for tasks like classification, regression, recommendation, NLP, computer vision, and time series forecasting.

· Fine-tune pre-trained models (e.g., BERT, GPT, YOLO, CLIP, etc.) for domain-specific applications.

· Apply transfer learning, active learning, and model distillation techniques when needed.

· Work with large volumes of structured and unstructured data to extract features and build high-performing models.

· Perform thorough evaluation using precision, recall, F1, ROC-AUC, etc., and conduct error analysis.

· Deploy models via REST APIs, batch pipelines, or real-time inference systems.

· Collaborate closely with product managers, data engineers, and DevOps teams to take models from experimentation to production.

· Stay updated with current research papers and actively contribute to internal AI knowledge-sharing.

Must-Have Qualifications:

· Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field.

· 2+ years of practical experience building and deploying ML/DL models.

· Strong programming skills in
Python
and hands-on experience with
ML libraries/frameworks
such as:

o   Scikit-learn, XGBoost, LightGBM

o   TensorFlow, Keras, PyTorch

o   HuggingFace Transformers, OpenCV, YOLO, spaCy

· Experience with real-world data handling – cleaning, preprocessing, and feature engineering.

· Experience working on at least one end-to-end AI/ML project from data to deployment.

· Familiarity with MLOps concepts and tools (e.g., MLflow, DVC, FastAPI, Docker).

Value Addition skills :

· Experience with
LLMs
,
RAG pipelines
,
vector databases
(e.g., FAISS, ChromaDB).

· Knowledge of
AI safety
,
explainable AI
, or
bias mitigation
techniques.

· Exposure to
cloud ML platforms
(AWS SageMaker, GCP Vertex AI, Azure ML).

· Participation in ML competitions (Kaggle, Zindi) or contributions to open-source ML projects.

· Knowledge of experiment tracking, model versioning, and CI/CD for AI systems.

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

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

We are seeking a skilled and passionate Python & Data Science Trainer to deliver high-quality training sessions for students and professionals. The trainer will be responsible for teaching core concepts, practical applications, and guiding learners through real-time projects.

Contact :

Key Responsibilities:

• Conduct classroom and online training sessions on Python, Data Science, and related tools.
• Design course materials, assignments, and projects.
• Guide students on practical applications and industry use cases.
• Stay updated with the latest trends in Python, Machine Learning, and Data Science.
• Assess student performance and provide feedback.

Qualifications & Skills:

• Strong knowledge of Data Science, Machine Learning, and related libraries (NumPy, Pandas, Matplotlib, Scikit-learn, etc.).

Job Type: Full-time

Pay: ₹20, ₹25,000.00 per month

Benefits:

• Cell phone reimbursement
• Internet reimbursement
• Leave encashment

Work Location: In person

Role Data Scientist Manager

Years of Experience –10+ years

Purpose of Role

• In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data.
• To help our company analyze trends to make better decisions.
• Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, Integrate the models with the business processes and consuming systems via ML Ops processes.
• The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action.

Key Accountabilities

Responsibilities will include but will not be restricted to:

• Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities.
• Understand business priorities and align data science deliverables to ensure the business receives the intelligence and modeling inputs to drive decisions.
• Work with stakeholders throughout the organization to identify opportunities for using company data to drive business solutions.
• Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Recruit, train, develop and supervise Junior level employees.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Technical Requirements (what)

• Proven experience of 8+ years as a Data Scientist.
• Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus.
• Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement.
• Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks.

Desired Personal Qualities or Behavior

• Strong Analytical critical thinking skills and business acumen
• Strong commitment to professional development.
• Process Oriented and excellent time management skills.
• Ability to adapt to new situations and issues and to solve problems.
• Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike. Role & responsibilities

Preferred candidate profile

Perks and benefits