Job Description

About the Role:

We are seeking a senior technical lead to architect, develop, and deploy scalable Machine Learning and Generative AI solutions. This role involves end‑to‑end ownership of the model lifecycle, driving MLOps excellence, enabling cloud‑native deployments, and collaborating cross‑functionally to deliver high‑impact AI initiatives.

What You will Do:
Lead development, optimization, and deployment of ML and GenAI models for real-time, streaming and batch use cases
Evaluation and picking LLM and embedding models for various use cases
Ingestion of structured and unstructured data sources, storing them to vector databases
Build and manage end-to-end agentic workflows for data retrieval, reasoning, and insight generation
Build and manage end-to-end MLOps pipelines with Sagemaker, Airflow, or similar platforms
Collaborate with engineers, data scientists, and stakeholders to gather requirements, ideate, and integrate AI solutions
Enhance model accuracy and performance through data quality improvements and analysis
Deploy scalable,



cloud-native ML workloads on AWS using Docker, Kubernetes
Mentor junior engineers on ML best practices
Evaluate and integrate third-party tools, libraries, and products
Develop and manage robust CI/CD pipelines. Provide technical leadership and stay current with ML advancements.

What You Bring:
5+ years of skilled experience in Python development and machine learning
Strong understanding of MLOps practices and tools
Experience deploying ML models in production environments
Familiarity with TensorFlow, PyTorch, llamaindex, langchain
Solid knowledge of language models, embedding models and vector databases
Experience with FastAPI, Flask, Streamlit
Experience with Git and CI/CD pipelines
Solid problem‑solving and debugging skills
Experience with AWS, Azure, or GCP
Relevant certifications such as AWS ML Specialty are a plus.

About Simeio And What We Do

Simeio has over 65

📌 Lead Machine Learning Engineer Bengaluru
🏢 Simeio
📍 Bengaluru