Work Location: Hartford, CT, Raleigh, NC, Richardson, TX
Job Title:
Data Engineer Type-Full Time 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.
- Familiarity with containerization (Docker) and container orchestration is a plus.
