Senior Data Engineer / AI ML Engineer with Python, AI/ML & LLMs

Ampcus Inc; Reston (VA); On-site; USD 100,000 - 130,000; Full time

Job summary

A global technology consulting firm in Virginia is looking for a Senior Data Engineer / AI ML Engineer skilled in Python and data engineering. The role includes building scalable data pipelines and integrating LLMs. Ideal candidates hold a degree in Computer Science or related fields and have at least 3 years of relevant experience. This hybrid position offers the chance to work collaboratively with data scientists and software developers in a dynamic environment.

Qualifications

• 3 years of experience in data engineering or backend development.
• Strong proficiency in Python and libraries such as Pandas, NumPy, PySpark.
• Hands-on experience with LLMs and NLP tools.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using Python.
• Collaborate with AI/ML teams for model training and deployment.
• Integrate and fine-tune LLMs for various business use cases.

Skills

Python

Data Engineering

AI/ML Frameworks

SQL

MLOps tools

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Tools

TensorFlow

Pandas

Docker

Kubernetes

Kafka

Airflow

Job description

Overview

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Senior Data Engineer / AI ML Engineer with Python, AI/ML & LLMs.

Location: Reston, VA ( Hybrid )

Job Summary

• We are seeking a highly skilled and motivated Data Engineer to join our growing AI/ML team. This role is ideal for someone passionate about building scalable data pipelines, enabling machine learning workflows, and integrating cutting-edge Large Language Models (LLMs) into production systems.
• You will work closely with data scientists, ML engineers, and software developers to design and implement robust data infrastructure that powers intelligent applications.

Key Responsibilities

• Design, build, and maintain scalable and efficient ETL/ELT pipelines using Python and modern data engineering tools.
• Collaborate with AI/ML teams to support model training, evaluation, and deployment workflows.
• Develop and optimize data schemas, storage solutions, and APIs for structured and unstructured data.
• Integrate and fine-tune LLMs (e.g., OpenAI, Hugging Face Transformers) for various business use cases.
• Ensure data quality, governance, and compliance across all data systems.
• Monitor and troubleshoot data workflows and model performance in production.
• Automate data ingestion from diverse sources including APIs, databases, and cloud storage.
• Contribute to the development of internal tools and libraries for ML experimentation and deployment.

Preferred Skills

• Experience with MLOps tools (MLflow, Airflow, Kubeflow).
• Understanding of data privacy and security best practices.
• Exposure to vector databases (e.g., Pinecone, FAISS, Weaviate).
• Experience with real-time data processing (Kafka, Flink).

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 3 years of experience in data engineering or backend development.
• Strong proficiency in Python and libraries such as Pandas, NumPy, PySpark, etc.
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Hands-on experience with LLMs and NLP tools (e.g., LangChain, Hugging Face, OpenAI API).
• Proficiency in SQL and working with relational and NoSQL databases.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Knowledge of CI/CD pipelines and version control (Git).

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.