Data Engineer

Work Location: Hartford, CT, Raleigh, NC, Richardson, TX

Job Title: Data Engineer

Type-Full Time

The information below covers the role requirements, expected candidate experience, and accompanying qualifications.

Your contribution to the team:

? A collaborative spirit and excellent communication skills.

? The ability to handle end to end SDLC phases from requirement gathering to implementation.

? A knack for translating complex requirements into actionable development tasks.

? A passion for design and hands-on coding experience

? A proactive approach to testing, troubleshooting, and refining our applications.

? The ability to work with cross-functional teams and do software integration.

Required Skill and Experience

• Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).

• Experience in Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.

• Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with ML Ops practices and tools for model deployment and monitoring.

• Experience with AWS SageMaker for model development and model deployment.

• Experience with developing and deploying AI Agents for business problems.

• Experience in optimizing and adapt prompt engineering strategies to improve model performance and relevance.

• Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.

• Experience in understanding quantitative/

statistical/ML/AI modeling methodologies.

• Experience in ML engineering, including hands-on experience with Generative AI/LLMs.

Preferred Skill and Experience

• Experience in building and maintaining scalable data pipelines and APIs to support ML workflows.

• Knowledge of data privacy and security best practices in cloud environments. xhyhwjd

• Familiarity with containerization (Docker) and container orchestration is a plus.