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AIML Engineer- Full-time

2 weeks ago

Chennai, Tamil Nadu, India Triumphs Of Talent Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Dear

Greetings

  • Mode of Hiring: FTE, Full time
  • JOB Position: AI/ML Engineer
  • Location: Chennai On-site, India
  • Tech Stack: Python, TensorFlow, PyTorch, Cloud AWS, GenAI, LLMs, LLaMA
  • Experience:6-9 years

About the Role:

We are looking for a passionate and hands-on AI/ML Engineer 6 with years of industry experience to join our rapidly growing team. In this role, you will be at the forefront of building and deploying cutting-edge Generative AI and Large Language Model (LLM) solutions, leveraging platforms like OpenAI, Anthropic, LLaMA, and AWS Bedrock. Youll work cross-functionally with data scientists, ML engineers, and product teams to design, implement, and scale AI capabilities that drive real business impact.

Key Responsibilities:

  • Design, develop, and fine-tune LLM-powered applications using OpenAI, Anthropic, and LLaMA models.
  • Integrate and deploy GenAI solutions using AWS Bedrock and other managed cloud-based AI services.
  • Build, train, and optimize ML pipelines using Python and relevant ML frameworks (e.g., PyTorch, HuggingFace, LangChain).
  • Collaborate with product and data teams to define use cases and implement AI-driven features.
  • Conduct prompt engineering, experimentation, and evaluation for LLM-based solutions.
  • Monitor model performance, ensure scalability, and maintain versioning and reproducibility of models.
  • Stay updated on the latest in GenAI, model APIs, and industry best practices to recommend continuous improvements.

Required Technical Skills:

  • 4 years of hands-on experience in Machine Learning / AI development.
  • Strong programming skills in Python, with experience inAI/ML frameworks like PyTorch, TensorFlow, or HuggingFace Transformers.
  • Experience with Large Language Models (LLMs) from OpenAI, Anthropic, or Metas LLaMA family.
  • Deep understanding of GenAI paradigms, including prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning.
  • Proven experience with AWS, specifically AWS Bedrock, SageMaker, Lambda, etc.
  • Familiarity with CI/CD for ML and deployment of inference endpoints in production environments.
  • Experience with version control, containerization (Docker), and ML Ops workflows.
  • Excellent communication and problem-solving skills with a strong ownership mindset.

If you are interested in the above role, Kindly reply to this an email with requested details as

Current CTC:

Excepted CTC:

Notice Period:

Any Offers/ Pipelines:

Current Location:

Looking forward to hearing from you