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

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., * 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).

• 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).