223 Machine Learning Specialist jobs in Chennai

Description

1. Expertise in Agile Methodology
2. Strong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.
3. Python Programming
4. Proficiency in Python (preferred) and Java for AI and ML automation tasks.
5. Testing AI & ML Models
6. Experience testing Generative AI models, Large Language Models (LLMs) , and AI-driven systems (e.g., Chatbots, AI agents).
7. Automation Frameworks for AI
8. Hands-on experience designing automation frameworks using tools like pytest , mlflow , Selenium , or Serenity BDD for AI/ML applications.
9. Estimation techniques for Automation testing efforts (Design and Execution).
10. Cloud Automation Strategy
11. Ability to develop automation test strategies for AI/ML applications deployed on public and private cloud environments .
12. API and Web Services Testing
13. Strong experience in testing RESTful APIs and Web services using tools like Postman and Rest API .
14. CI/CD Automation
15. Experience in testing and test planning for CI/CD solutions, especially for AI-driven products.
16. Test Management Tools
17. Proficient in using Azure DevOps (ADO) or other test management tools to streamline test case management and reporting.
18. Various Testing Types
19. Experience in Functional , Regression , UI/Usability , and Integration testing for AI/ML applications.
20. Exposure to Cloud Platforms
21. Good exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.
22. AI Product Workflow Understanding
23. Familiarity with agentic workflows and AI system interactions in end-to-end product use cases.

Dear Candidate,

Greetings from HCL Tech!

We are hiring Data scientist – Machine Learning requirement

Below is the JD for your perusal:

JD:

• Develop and implement AI models capable of accurate predictions.

• Analyze input data to identify key factors influencing rapid movements, utilizing data-driven insights.

• Establish and maintain a continuous learning framework to update models based on planner feedback.

Skills:

• Expert in AI and machine learning model development

• Strong programming knowledge in Python

Rate your self on below Skils

AI models

Machine Learning

Python

If interested, kindly revert this mail with the details in the below format along with updated resume

Name

Contact Number

Email ID

Current Location

Preferred Location

Total Experience

Relevant Experience

Current Organisation

Current CTC

Expected CTC

Notice Period

Regards

Durga Karunakaran

HCL Technologies Ltd.

Description

• Expertise in Agile Methodology
• Strong experience in Agile methodologies, with a focus on continuous testing and delivery cycles.
• Python Programming
• Proficiency in Python (preferred) and Java for AI and ML automation tasks.
• Testing AI & ML Models
• Experience testing Generative AI models, Large Language Models (LLMs) , and AI-driven systems (e.g., Chatbots, AI agents).
• Automation Frameworks for AI
• Hands-on experience designing automation frameworks using tools like pytest , mlflow , Selenium , or Serenity BDD for AI/ML applications.
• Estimation techniques for Automation testing efforts (Design and Execution).
• Cloud Automation Strategy
• Ability to develop automation test strategies for AI/ML applications deployed on public and private cloud environments .
• API and Web Services Testing
• Strong experience in testing RESTful APIs and Web services using tools like Postman and Rest API .
• CI/CD Automation
• Experience in testing and test planning for CI/CD solutions, especially for AI-driven products.
• Test Management Tools
• Proficient in using Azure DevOps (ADO) or other test management tools to streamline test case management and reporting.
• Various Testing Types
• Experience in Functional , Regression , UI/Usability , and Integration testing for AI/ML applications.
• Exposure to Cloud Platforms
• Good exposure to cloud platforms such as AWS and Azure for deploying and testing AI systems.
• AI Product Workflow Understanding
• Familiarity with agentic workflows and AI system interactions in end-to-end product use cases.

Overview:

TekWissen is a global workforce management provider throughout India and many other countries in the world. The below clientis a global company with shared ideals and a deep sense of family. From our earliest days as a pioneer of modern transportation, we have sought to make the world a better place one that benefits lives, communities and the planet

Job Title: Data Science and Machine Learning Specialist

Location: Chennai

Work Type: Hybrid

Position Description:

• Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.

Key Responsibilities:

• Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
• Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
• Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
• Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
• Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Skills Required:

• Big Query,, AI/ML,
• Data Science, Data/Analytics,
• Machine Learning, Python

Skills Preferred:

• ALGORITHMS, GenAI,
• Artificial Intelligence & Expert Systems

Experience Required:

Senior Specialist Exp:

• 7+ experience in relevant field.

Experience Preferred:

• The candidate should be independently able to analyze the data and provide recommendations and have ability to provide visualization solutions

Education Required:

• Bachelor's Degree

Education Preferred:

• Master's Degree

TekWissen Group is an equal opportunity employer supporting workforce diversity.

Req ID: 

Job Description

Are you inspired to contribute your expertise to a global leading Ingredients organization? We are a global leader in taste, scent and nutrition, offering our customers a broader range of solutions for the food & beverage industry.

We are looking for a dedicated and passionate individual to join our Global Regulatory Affairs (GRA) team as Senior Specialist (Machine Learning), Regulatory Business Operations . Come join the global Ingredients leader where science and creativity meet to create essential solutions for a better world!

Your Focus
As a Senior Specialist, Regulatory Business Operations, you will support the broader Global Regulatory Affairs function with deriving value from data and processes. You will help design and implement AI systems that drive Global Regulatory Affairs to the cutting edge of regulatory efficiency and reporting with all the high-functioning support processes.

The role is Chennai, India based and will report to Head of Regulatory Business Operations.

How You Will Contribute

Job Requirements

What you will need to be successful

Essential Skills and Experience

Preferred Skills and Experience

IFF is an Equal Opportunity Employer.

At IFF, we believe that your uniqueness unleashes our potential. We value the diverse mosaic of the ethnicity, national origin, race, age, sex or veteran status. We strive for inclusive workplace that allows each of our colleagues to bring their authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.

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.