Senior Analytics Engineer

Impetus; Dadri; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

LLMOps

AWS Cloud

Job summary

Impetus in Dadri, Uttar Pradesh, is seeking a skilled ML/AI engineer to design and deploy end-to-end ML pipelines, including model development, tuning, deployment, and MLOps. You will derive use cases from structured and unstructured data and apply transformer-based models.

The role demands strong analytical problem-solving abilities and hands-on experience with Python, PyTorch, Scikit-Learn, SQL, LangChain, and LLMs, with cloud familiarity a plus.

Qualifications

• Strong analytical abilities for problem solving and solution design.
• Experience deriving use cases from structured and unstructured data.
• Expertise in LLMs and AI problem solving using state-of-the-art models.

Responsibilities

• Possess strong logical and analytical abilities in problem-solving and solution designing
• Use case derivation and solution creation from structured/unstructured data
• Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models.
• Develop an end-to-end machine learning pipeline that includes model development, tuning, implementation, deployment, and MLOps
• An end-to-end model pipeline for transformer-based use cases which includes model development and fine-tuning.
• Work closely with business and product management teams to develop and implement analytics solutions.
• Communicate results to diverse technical and non-technical audiences.
• Research and Innovation: Stay up to date with the latest advancements in the fields of AI

Skills

Problem solving and solution design

ML model evaluation

End-to-end ML pipeline design

Tools

Python

Scikit-Learn

Transformer models

PyTorch

SQL

LangChain

Job description

Key Responsibilities

• Possess strong logical and analytical abilities in problem-solving and solution designing
• Use case derivation and solution creation from structured/unstructured data
• Provides LLM expertise to solve AI problems using state-of-the-art language models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improve the performance & capabilities of LLMs
• Develop an end-to-end machine learning pipeline that includes model development, tuning, implementation, deployment, and MLOps
• An end-to-end model pipeline for transformer-based use cases which includes model development and fine-tuning.
• Work closely with business and product management teams to develop and implement analytics solutions.
• Communicate results to diverse technical and non-technical audiences.
• Research and Innovation: Stay up to date with the latest advancements in the fields of AI

Mandatory Skills

• Python, Scikit-Learn, Transformer, PyTorch, SQL, LangChain
• Model building, Hyperparameter tuning and Model performance metrics, Model Deployment of machine learning models
• Deep learning/LLM models finetuning and evaluation

Good To Have Skills -

• LLMOps
• Cloud (AWS)