Senior Machine Learning Engineer - AI

Machine Learning Engineer – Generative AI / NLP / AWS Bedrock Location: Remote

Experience: 4+ Years

We are looking for a Machine Learning Engineer with strong expertise in Generative AI, NLP, and MLOps to help build and scale a multi-model AI platform running on AWS infrastructure.

The ideal candidate will work on LLM pipelines, NLP systems, ML training infrastructure, and MLOps workflows deployed on Kubernetes (AWS EKS). You will collaborate closely with cloud engineers and platform teams to develop scalable AI-powered applications using AWS Bedrock and transformer-based models.

This role is ideal for someone passionate about Large Language Models, generative AI systems, and production-grade ML pipelines.

Build and optimize machine learning training pipelines for NLP and Generative AI models.

Develop synthetic data generation and data augmentation workflows to enhance training datasets.

Manage ML experiment tracking, model registry, and lifecycle management using MLflow.

Deploy and manage GPU-based ML training workloads on Kubernetes / AWS EKS.

Work with Large Language Models (LLMs) and task-specific ML models.

Build and integrate Generative AI workflows using AWS Bedrock and other LLM platforms.

Contribute to model serving infrastructure and inference APIs for multi-model AI platforms.

Ensure reproducibility, monitoring, and observability of ML experiments and production models.

Machine Learning & NLP

Strong hands-on experience in Natural Language Processing (NLP)

Experience with Transformer-based models and Large Language Models (LLMs)

Experience with:

Document analysis

Experience working with Generative AI workflows

Programming

Strong proficiency in Python

Experience with ML frameworks:

Hands-on experience with MLflow, including:

Experience with Kubernetes (preferably AWS EKS)

Experience running GPU-based ML workloads

Familiarity with Docker containers

Data & Training Pipelines

Experience designing ML training pipelines

Experience with dataset preparation and data versioning

Experience with synthetic data generation or data augmentation (preferred)

Cloud Platforms

Experience working with AWS cloud services

AWS Lambda

API-based ML services

Experience with AWS Bedrock for Generative AI or LLM applications

Experience with LLM platforms such as AWS Bedrock or OpenAI APIs

Experience with distributed training or Kubernetes Jobs

Experience building model serving APIs using FastAPI or TorchServe

Experience designing scalable AI platforms or multi-model ML systems

Experience Requirements

• 4+ years of experience in Machine Learning Engineering
• Production experience with MLflow
• Experience deploying LLMs or Generative AI systems in production

Subject Line: Machine Learning Engineer – Generative AI