Associate ML Engineer

Job Title:

Associate ML Engineer (Experienced) – Python & LLMs

Location:

Valsad

Experience:

1–2 year

About The Role

We are looking for an experienced and hands-on

Associate ML Engineer

with

1–2 years

of industry experience in

Python development

,

Machine Learning

, and

LLM-based solutions

. In this role, you will contribute to

designing, building, deploying, and optimizing AI/ML systems

—including generative AI applications, embeddings, vector search, and chatbot solutions. You will work across the full lifecycle of AI projects, from data processing to model deployment using

FastAPI

and database-backed systems.

Key Responsibilities

Develop and maintain AI/ML models using Python, Scikit-Learn, PyTorch, or TensorFlow.Build LLM-driven applications using GPT, BERT, or Transformer-based models.Develop backend APIs (FastAPI) for deploying AI services.Work with structured and unstructured data: cleaning, preprocessing, feature engineering, and evaluation.Implement vector embeddings, similarity search, and LLM-based retrieval pipelines.Optimize model performance and inference latency.Integrate AI models with databases (MySQL, PostgreSQL, MongoDB, etc.).Collaborate with product, backend, and mobile teams for end-to-end delivery.Monitor, maintain, and retrain production ML models as needed.

Key Requirements

Strong

Python programming skills

and clean coding practices.Understanding of

Machine Learning and Deep Learning fundamentals

.Familiarity with

LLMs (GPT, BERT, Transformers)

and modern ML frameworks.Experience with

FastAPI

and database integration (e.g., MySQL).Ability to work with datasets: preprocessing, analysis, and model evaluation.Good debugging, problem-solving, and analytical skills.Passion for

generative AI, chatbots, and applied AI solutions

.

Preferred Skills

Understanding of

prompt engineering, embeddings, or LLM fine-tuning

.Experience with cloud AI platforms (Azure AI, AWS Bedrock, OpenAI API, Hugging Face).Understanding of model deployment, CI/CD, and containerization (Docker).Basic understanding of data pipelines, ETL workflows, or MLOps practices.Knowledge of

data visualisation, model deployment, and production AI systems

.

Education

B.Tech / B.E / M.Tech / MCA in

Computer Science, AI, Data Science, or related fields

.

Why Join Us

Work on

cutting-edge generative AI and LLM projects

.Build

end-to-end AI solutions

with Python, FastAPI, and databases.Fast-growing, innovation-driven, and collaborative environment.Exposure to production-grade deployments and modern AI architecture.

Required Skills

Initiative/Innovation Cross team support Communication