AI/ML Engineer

Role: AI/ML Engineer

Experience: 10+ Years

Duration: 12 months

Location: MC Lean , VA

Skills: Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs

Responsibilities

Design, develop, and deploy Machine Learning and AI solutions for business applications.

Build and optimize ML models for classification, regression, forecasting, recommendation, and NLP use cases.

Develop data preprocessing, feature engineering, model training, and evaluation pipelines.

Work with Python, Pandas, NumPy, Scikit-learn, TensorFlow, and/or PyTorch.

Develop and integrate Generative AI and LLM-based solutions where applicable.

Work with OpenAI/LLM APIs, prompt engineering, embeddings, vector databases, and RAG architectures.

Build scalable ML pipelines using MLflow, Kubeflow, Databricks, AWS, Azure, or Google Cloud Platform.

Deploy models through REST APIs, Docker, Kubernetes, and cloud platforms.

Monitor model performance, data quality, drift, and production issues.

Collaborate with Data Engineers, Software Engineers, Data Scientists, Product Owners, and business stakeholders.

Perform model tuning, experimentation, validation, and performance optimization.

Implement MLOps practices for CI/CD, model versioning, experiment tracking, and automated deployment.

Ensure AI solutions meet requirements for security, scalability, reliability, and responsible AI.

Document models, architectures, workflows, and technical processes.

Required Skills

Python

Machine Learning

Deep Learning

Scikit-learn

TensorFlow / PyTorch

Pandas / NumPy

SQL

NLP / Computer Vision as applicable

Generative AI / LLM

Prompt Engineering

RAG

Vector Databases

REST APIs

Docker / Kubernetes

Cloud: AWS / Azure / Google Cloud Platform

Git

MLOps / MLflow