How much salary can I expect as a Senior Machine Learning Engineer in Indium Software India in Chennai?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

What is the eligibility criteria to apply for Senior Machine Learning Engineer in Indium Software India in Chennai?

The candidate should have completed the required education and people who have 8 to 31 years are eligible to apply for this job. You can apply for more jobs in Chennai to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

Who can apply for this job?

Both Male and Female candidates can apply for this job.

Is it a work from home job?

No, it's not a work from home job and can't be done online. You can explore and apply for other work from home jobs in Chennai at apna.

Are there any charges or deposits required while applying for the role or while joining?

No work-related deposit needs to be made during your employment with the company.

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Go to the apna app and apply for this job. Click on the apply button and call HR directly to schedule your interview.

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Senior Machine Learning Engineer

Indium Software India

Senior Machine Learning Engineer

Indium Software India

Chennai

Not disclosed

Work from Office

Full Time

Min. 8 years

Job Description

Senior ML Engineer

Job Title: Senior Machine Learning Engineer

Experience: 8+ Years

Job Description: • Design, develop, and optimize machine learning models for NLP, generative AI, and LLM applications • Build and deploy AI-powered solutions at scale for complex workflows and text data analysis • Develop end-to-end ML pipelines including preprocessing, feature engineering, training, evaluation, and deployment • Architect production-ready ML systems following MLOps best practices for scalability and reliability • Build and maintain data pipelines for structured and unstructured enterprise data • Ensure security, privacy, and compliance in ML workflows • Work with cloud-native and serverless architectures for efficient model deployment Required Skills: • 8+ years of experience in Machine Learning, AI, or Deep Learning • Strong expertise in NLP, Generative AI, and Large Language Models (LLMs) • Proficiency in Python • Experience with TensorFlow, PyTorch, and Hugging Face Transformers • Hands-on experience deploying models on AWS, GCP, or Azure • Knowledge of MLOps practices and scalable ML systems • Experience with Docker, Kubernetes, and orchestration pipelines Additional Skills: • Strong problem-solving and analytical abilities • Experience with cloud-native AI services and serverless architectures