Note: The job is a remote job and is open to candidates in USA. Insight Global is seeking an Applied AI/ML Engineer-Data Scientist to develop and operationalize the intelligence layer of an off-prem platform. The role combines data science, machine learning, generative AI and software engineering to build, evaluate, deploy and continuously improve intelligent capabilities for operational analysis and decision-making.
Responsibilities
- Design, develop, evaluate and deploy AI/ML capabilities
- Develop analytical models for anomaly detection, asset health, forecasting, classification and other operational use cases
- Develop generative AI and agentic capabilities using enterprise-approved foundation models and AI platforms
- Design prompts, tools, agents, workflows and orchestration patterns
- Develop Retrieval-Augmented Generation (RAG) and knowledge-retrieval solutions when appropriate
- Create rigorous evaluation frameworks for LLM and agent behavior
- Establish metrics for model accuracy, relevance, reliability, hallucination, latency and cost
- Develop guardrails and validation mechanisms for AI-generated responses
- Collaborate with Data Engineering to define training, inference, retrieval and feature-data requirements
- Collaborate with the Full Stack/Cloud Engineer to deploy AI services into production
- Develop prototypes rapidly while designing solutions that can transition into production
- Monitor model and agent performance and continuously improve deployed capabilities
- Communicate model behavior and analytical findings to engineers, product stakeholders and operational subject-matter experts
- Stay current with emerging AI, agentic AI, ML and data-science technologies and assess their applicability
Skills
- Bachelor's degree with equivalent experience in Computer Science, Data Science, Engineering, Statistics, Machine Learning or a related discipline
- 4+ years of experience developing machine-learning or advanced analytics solutions
- Strong Python skills
- Experience with common ML/data-science frameworks and libraries
- Experience taking analytical or ML solutions from experimentation into production
- Strong foundation in statistics, experimentation, model evaluation and data analysis
- Experience working with cloud-based data and compute environments
- Experience with APIs, software-development practices, source control and CI/CD
- Demonstrated ability to translate business or operational problems into analytical approaches
Benefits
- 99% remote, comes in once a month for Hackathon
- Comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance.
- Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment.
- Paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.
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