Job Description
Responsibilities:
Develop and maintain machine learning pipelines and applications using Python and modern ML
frameworks
• Implement and optimize algorithms for large language model (LLM) integration and deployment
• Build RESTful APIs and microservices to serve ML models in production environments
• Write clean, maintainable, and well-documented code following object-oriented programming
principles
• Collaborate with cross-functional teams to understand requirements and translate them into
technical solutions
• Work with databases (SQL,NoSQL and Vector) to manage training data, model artifacts, and
application state
• Containerize ML applications using Docker for consistent deployment across environments
• Utilize Git for version control and participate in code reviews to maintain code quality
• Conduct testing and debugging of ML applications to ensure reliability and accuracy
• Support the deployment and monitoring of AI/ML models in cloud environments
• Stay current with emerging trends in machine learning, LLMs, and AI engineering best practices
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• Active TS/SCI clearance with Poly
• Bachelor's degree in computer science, Software Engineering, Data Science, or related
technical field with 5 years of professional experience in software development or machine
learning engineering
• Strong proficiency in Python programming with solid understanding of object-oriented
programming (OOP) concepts, design patterns, data structures, and algorithms
• Experience with development tools and practices including Git version control, Docker
containerization, and database management (SQL and/or NoSQL)
• Knowledge of LLM technologies including exposure to Large Language Models, orchestration
frameworks (LangChain, LangGraph),
• Understanding of RAG architectures and vector databases (ChromaDB, Pinecone, Weaviate, or
similar) for building intelligent retrieval systems
• Strong problem-solving abilities, attention to detail, excellent communication skills, and
eagerness to learn in a collaborative team environment
Nice to Have Skills & Experience
• Master's degree in computer science or related field
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and knowledge of MLOps
practices for ML model deployment and monitoring
• Experience with container orchestration and DevOps including Kubernetes, Rancher, CI/CD
pipelines, and infrastructure automation tools like Ansible
• Contributions to open-source ML projects and familiarity with Agile development methodologies
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.