ML – Engineer
Position: ML Engineer
Location: Cochin
Experience: 6 years
Job Type: Full-time
Budget: upto 28 LPA
.
6 years of experience in AI and machine learning out of which 3 years of experience in machine learning engineering NLP Generative AI and LLM technologies.
.
§ Experience with LLM Agentic workflows and frameworks (Langchain LangGraph LlamaIndex etc.).
.
§ Knowledge and experience with transformer architectures prompt engineering retrieval-augmented generation (RAG) guardrails and LLM evaluation methodologies.
.
§ Hands-on experience of MLOps and LLMOps is desired.
.
§ Knowledge of design implementation and management of distributed training pipelines for LLMs to ensure scalability and efficiency are nice to have.
.
§ Advanced knowledge of Python and some experience in ML frameworks (PyTorch scikit-learn etc.) for training fine-tuning and deploying generative models is desired.
.
§ Experience with Cloud technology preferably AWS.
.
§ Experience with Voice Conversational AI will be a big plus.
.
§ Ability to contribute both independently and as part of a team.
.
§ Excellent analytical and problem-solving skills.
.
§ Excellent listening communication interpersonal and presentation skills to articulate complex technical ideas to cross-disciplinary internal and external stakeholders
Required Skills:
ML Engineer LLM MLops NLP CLOUD
ML – EngineerPosition: ML EngineerLocation: CochinExperience: 6 yearsJob Type: Full-timeBudget: upto 28 LPA. 6 years of experience in AI and machine learning out of which 3 years of experience in machine learning engineering NLP Generative AI and LLM technologies.. § Experience with LLM Agentic wo...
ML – Engineer
Position: ML Engineer
Location: Cochin
Experience: 6 years
Job Type: Full-time
Budget: upto 28 LPA
.
6 years of experience in AI and machine learning out of which 3 years of experience in machine learning engineering NLP Generative AI and LLM technologies.
.
§ Experience with LLM Agentic workflows and frameworks (Langchain LangGraph LlamaIndex etc.).
.
§ Knowledge and experience with transformer architectures prompt engineering retrieval-augmented generation (RAG) guardrails and LLM evaluation methodologies.
.
§ Hands-on experience of MLOps and LLMOps is desired.
.
§ Knowledge of design implementation and management of distributed training pipelines for LLMs to ensure scalability and efficiency are nice to have.
.
§ Advanced knowledge of Python and some experience in ML frameworks (PyTorch scikit-learn etc.) for training fine-tuning and deploying generative models is desired.
.
§ Experience with Cloud technology preferably AWS.
.
§ Experience with Voice Conversational AI will be a big plus.
.
§ Ability to contribute both independently and as part of a team.
.
§ Excellent analytical and problem-solving skills.
.
§ Excellent listening communication interpersonal and presentation skills to articulate complex technical ideas to cross-disciplinary internal and external stakeholders
Required Skills:
ML Engineer LLM MLops NLP CLOUD
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