2616 Machine Learning jobs in Tamil Nadu

Job Description -

We are seeking a Machine Learning Engineer to assist in developing and implementing object detection and AI-based predictions. You will have the opportunity to work on real-world applications and contribute to the development of novel algorithms. As a ML engineer, you’ll collaborate with our team and works various applied AI/ML tasks.

Key Responsibilities -

• Assist in training and fine-tuning ML models for real-time AI-based tasks.
• Work with large datasets to prepare, annotate, preprocess, and augment data for training purposes.
• Implement and test model architectures to improve accuracy, speed, and performance.
• Help analyze and optimize model performance based on results and metrics.
• Document research and findings, contributing to team knowledge and project reports.
• Participate in code reviews and contribute to software development best practices.
• Stay updated with the latest trends and research in computer vision and applied ML.

Qualifications -

• Bachelor's or master's degree program in Computer Science, Electrical Engineering, or a related field.
• Solid understanding of AI/ML concepts, data cleaning, synthetic data generation and other relevant concepts.
• Hands-on experience with MLOps.
• Hands-on experience with YOLO or similar deep learning object detection frameworks (e.g., Faster R-CNN, SSD).
• Proficiency in programming languages such as Python
• Experience with OpenCV and Pytorch is a must.
• Experience with Statistical Analysis and modeling is a plus.
• Experience with CUDA and GPU acceleration is a plus.
• Experience with ROS and C++ is also a huge plus.
• Strong problem-solving skills, attention to detail, and a collaborative mindset.

Preferred Skills -

• Knowledge of data cleaning techniques and data preprocessing methods.
• Familiarity with version control systems like Git .
• Experience in deploying models into production environments (optional).
• Exposure to ROS and OpenCV in C++.

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.

Job Description -

We are seeking a Machine Learning Engineer to assist in developing and implementing object detection and AI-based predictions. You will have the opportunity to work on real-world applications and contribute to the development of novel algorithms. As a ML engineer, you’ll collaborate with our team and works various applied AI/ML tasks.

Key Responsibilities -

• Assist in training and fine-tuning ML models for real-time AI-based tasks.
• Work with large datasets to prepare, annotate, preprocess, and augment data for training purposes.
• Implement and test model architectures to improve accuracy, speed, and performance.
• Help analyze and optimize model performance based on results and metrics.
• Document research and findings, contributing to team knowledge and project reports.
• Participate in code reviews and contribute to software development best practices.
• Stay updated with the latest trends and research in computer vision and applied ML.

Qualifications -

• Bachelor's or master's degree program in Computer Science, Electrical Engineering, or a related field.
• Solid understanding of AI/ML concepts, data cleaning, synthetic data generation and other relevant concepts.
• Hands-on experience with MLOps.
• Hands-on experience with YOLO or similar deep learning object detection frameworks (e.g., Faster R-CNN, SSD).
• Proficiency in programming languages such as Python
• Experience with OpenCV and Pytorch is a must.
• Experience with Statistical Analysis and modeling is a plus.
• Experience with CUDA and GPU acceleration is a plus.
• Experience with ROS and C++ is also a huge plus.
• Strong problem-solving skills, attention to detail, and a collaborative mindset.

Preferred Skills -

• Knowledge of data cleaning techniques and data preprocessing methods.
• Familiarity with version control systems like Git.
• Experience in deploying models into production environments (optional).
• Exposure to ROS and OpenCV in C++.

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.

Looking for a culture to thrive & build a rewarding career for yourself, join the core team of young hustlers building the next generation of Machine Learning platform & services. You will develop training and deployment pipelines for machine learning, implement model compression algorithms, and productionize machine learning research solving challenging business problems.Key Responsibilities:Design and develop generative AI models using techniques like RAG, transformers, and other relevant approaches.Fine-tune pre-trained LLMs for specific tasks and domains.Conduct research on new techniques for improving the performance and capabilities of generative AI models.Apply software engineering rigor and best practices to machine learning /Generative AI pipelines.Evaluate and analyse the performance of ML/generative AI models.Stay up to date on the latest advancements in generative AI research.Facilitate the development and deployment of proof-of-concept Generative AI systems.Qualifications:Bachelor’s/Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.3-5 years of experience in generative AI or related fields.Experience in building data pipelines, deploying ML/Gen AI models in production, and monitoring and maintaining their performance.Strong programming skills in Python.Familiarity with RAG and other techniques for building generative models.Extensive experience with Git, Docker and a good understanding of Linux for managing servers.Experience with cloud-based ecosystems, especially AWS ML/Gen AI services.Exposure to ML/Gen AI frameworks and tools.Excellent communication and collaboration skills.Ability to work independently and in a team-oriented environment.Methodical and meticulous towards work and planning.

We seek a Machine Learning Engineer colleague to join our world-class client, one of thebiggest and most advanced IT company.• Remote work• Employment/Contract Type: Contract• Location: India• Duration: 1 year (with potential to be extended)• Hours per Week: 40 (Full-time)Description:We are seeking an experienced Machine Learning Engineer to join our growing team ofconsultants. In this role, you will be responsible for designing, developing, and deploying machinelearning models and algorithms to solve complex business challenges with Databricks. You will workclosely with data scientists, data engineers, and business stakeholders to build scalable and efficientmachine learning solutions.Key Responsibilities● Design and implement machine learning models and algorithms with Databricks, includingpredictive analytics, natural language processing, computer vision, and more.● Lead the end-to-end development process, from data collection and preprocessing to modeldeployment and monitoring.● Collaborate with cross-functional teams to understand business requirements and translatethem into technical solutions.● Optimize and fine-tune models for performance, accuracy, and scalability in a productionenvironment.● Stay up-to-date with the latest advancements in machine learning and AI, and apply them toimprove existing systems.● Contribute to the development of machine learning infrastructure, including data pipelines,model serving frameworks, and monitoring tools.● Collaborate with client stakeholders to drive solutions to solve business problems.Qualifications● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a relatedfield; Ph D is a plus.● 3+ years of experience in machine learning engineering or related fields.● 2+ years of experience with Databricks● Proficiency in programming languages such as Python, R, or Java, with a strong understandingof machine learning libraries and frameworks (e.g., Tensor Flow, Py Torch, scikit-learn).● Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment andmonitoring.● Strong problem-solving skills and ability to work in a fast-paced environment.● Excellent communication and collaboration skills, with a track record of working effectively incross-functional teamsAbout DexianDexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Position- Machine Learning EngineerExperience - 3 to 5 yearsJob Location - Pune / RemoteImmediate Joiner OnlyRole OverviewThe ML Ops Engineer plays a critical role in the development, automation, and deployment of Machine Learning (ML) and Generative AI (Gen AI) pipelines across AWS cloud environments. This hands-on role emphasizes building reproducible workflows, integrating observability tools, and enabling efficient, scalable model delivery. The position supports AI systems deployed in banking environments, where resilience and reliability are paramount.Key Experience:3-5 years Strong programming skills in Python, with experience in pandas, SQL, and ML frameworks (e.g., scikit-learn).Should have used Python in ML domain to build, train and maintain models.Familiarity with AWS services such as Lambda, Glue, Cloud Watch, and Bedrock.Experience with container workflows (Docker) and model lifecycle management.Foundational knowledge of observability practices and model deployment fundamentals.Interest or experience in supporting AI systems used by developers or analysts.Strong communication and documentation skills with a collaborative team mindset.Ability to assume ownership of assignments and consistently meet deadlines.Responsibilities:Deploy and maintain ML and Gen AI models using AWS services, including Sage Maker, Fargate, and Bedrock.Apply prompt engineering techniques to optimize Gen AI model performance and reliability.Experience with Retrieval-Augmented Generation (RAG) applications is a plus.Assist in building and maintaining internal model-serving platforms to support development teams.Implement containerized services using Docker and deploy them to AWS infrastructure.Write Infrastructure-as-Code (Ia C) using Terraform to automate cloud resource provisioning (nice to have).Participate in unit and end-to-end testing of ML pipelines, services, and monitoring workflows.Support model monitoring and health tracking using AWS Cloud Watch and internal observability tools.Document internal systems and operational processes to ensure maintainability and reproducibility.

We seek a Machine Learning Engineer colleague to join our world-class client, one of thebiggest and most advanced IT company.• Remote work• Employment/Contract Type: Contract• Location: India• Duration: 1 year (with potential to be extended)• Hours per Week: 40 (Full-time)Description:We are seeking an experienced Machine Learning Engineer to join our growing team ofconsultants. In this role, you will be responsible for designing, developing, and deploying machinelearning models and algorithms to solve complex business challenges with Databricks. You will workclosely with data scientists, data engineers, and business stakeholders to build scalable and efficientmachine learning solutions.Key Responsibilities● Design and implement machine learning models and algorithms with Databricks, includingpredictive analytics, natural language processing, computer vision, and more.● Lead the end-to-end development process, from data collection and preprocessing to modeldeployment and monitoring.● Collaborate with cross-functional teams to understand business requirements and translatethem into technical solutions.● Optimize and fine-tune models for performance, accuracy, and scalability in a productionenvironment.● Stay up-to-date with the latest advancements in machine learning and AI, and apply them toimprove existing systems.● Contribute to the development of machine learning infrastructure, including data pipelines,model serving frameworks, and monitoring tools.● Collaborate with client stakeholders to drive solutions to solve business problems.Qualifications● Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or a relatedfield; Ph D is a plus.● 3+ years of experience in machine learning engineering or related fields.● 2+ years of experience with Databricks● Proficiency in programming languages such as Python, R, or Java, with a strong understandingof machine learning libraries and frameworks (e.g., Tensor Flow, Py Torch, scikit-learn).● Experience with cloud platforms and MLOps tools, such as MLflow, for model deployment andmonitoring.● Strong problem-solving skills and ability to work in a fast-paced environment.● Excellent communication and collaboration skills, with a track record of working effectively incross-functional teamsAbout DexianDexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Machine Learning EngineerWorld Salon is looking for a Machine Learning Engineer to build recommendation systems and automation models. The responsibility will be developing algorithms and data models to match speakers with suitable events and recommend events to users' interests. The candidate will contribute to data collection strategies, optimize existing datasets, and implement machine learning models using Python and vector databases.Responsibilities:Build and maintain ML algorithms for speaker-event matching and personalized event recommendations.Develop and optimize data pipelines and vector database integrations.Manage data collection processes to enhance model accuracy.Analyze business requirements and translate them into scalable ML solutions.Qualifications:Degree from a leading university in Data Science, Machine Learning, Computer Science, or a related field, or significant equivalent experience.Proficiency in Python and experience with machine learning frameworks (Tensor Flow, Py Torch, scikit-learn, etc.).Experience working with vector databases and implementing recommendation systems.Strong analytical capabilities combined with an understanding of business objectives.Ability to manage projects independently, from initial concept through implementation and evaluation.