What are the responsibilities and job description for the Associate Applied AI Engineer - Hybrid - Full-time position at Benchmark IT- Technology Talent?
Job Description
We have a terrific opportunity with our direct client near Norwalk, CT, for an AI Engineer. For this firm, a very well-established and successful company which is building internal AI capabilities, we re looking for an Associate Applied AI Engineer to help turn business problems into real, working AI and ML solutions. You ll bring a strong foundation in data science and machine learning, and a software engineer s mindset for building things that actually ship. Working alongside senior engineers and stakeholders, you ll explore data, build models, and contribute to AI-powered features that make the business smarter. As we expand into LLM-powered workflows and agentic AI, you ll have the opportunity to grow into these areas by learning new tools, patterns, and frameworks.
Key Responsibilities
- Translate business problems into clear analytical approaches and solution designs
- Wrangle datasets and engineer features to support ML modeling and AI workflows
- Build, evaluate, and iterate on ML models (forecasting, classification, optimization)
- Support the development of LLM-based workflows and emerging agentic AI patterns as these initiatives ramp up
- Contribute to deploying, monitoring, and maintaining AI and ML workflows in production, working closely with senior engineers
- Stay curious about new AI development tools and frameworks, and bring them into our workflows where they fit
Skills and Qualifications
- Master s degree in Data Science, Computer Science, AI, or a related field
- 0 2 years of professional experience in data science, machine learning, or AI engineering (internships and thesis-level projects count)
- Strong foundation in machine learning and applied statistics
- Proficiency in Python and SQL, with the ability to write production-grade code
- Familiarity with data pipelines and orchestration tools (e.g., Airflow, Prefect)
- Exposure to agentic AI patterns a plus but more importantly, a genuine eagerness to learn and adopt new AI tools and techniques as the field evolves
- Strong problem-solving skills and an analytical mindset