5-7 years of experience in machine learning and software development
Proficient in Python and frameworks like scikit-learn, PyTorch, or TensorFlow
Experience with generative AI and large language models (LLMs)
Strong understanding of advanced probability, statistics, and linear algebra
Familiarity with model governance and risk management practices
Experience with cloud-based ML platforms like Azure or AWS
Knowledge of CI/CD practices and Agile methodologies
Responsibilities
Lead the development of multi-platform machine learning software systems
Design, build, and maintain technology solutions using advanced algorithms
Collaborate with Data Scientists to refine prototypes and suggest improvements
Perform coding, testing, debugging, and documentation of machine learning systems
Ensure compliance with model governance and regulatory standards
Coordinate release planning and provide hands-on support during deployment
Consult with internal clients to gather requirements and align technical teams
Benefits
Opportunities for continuous learning and professional development
Access to cutting-edge technology and tools
Collaborative work environment with cross-functional teams
Flexible work arrangements
Health and wellness programs
Full Job Description
Role Description:
Leads in the development of cross-functional, multi-platform machine learning software systems. Uses technical knowledge and industry experience to design, build and maintain technology solutions. Utilizes knowledge of advanced probability and statistics to create intricate machine learning algorithms. Applies complex higher level math concepts to build new models and validate existing models. Possesses Machine Learning industry expertise and stays current on best practices, hot topics, and emerging trends. Utilizes industry expertise to inform decisions and recommendations. Performs complex application programming activities including, coding, testing, debugging, documenting, maintaining, and modifying machine learning systems. Works with Data Scientist to understand prototype, and suggests modifications as necessary. Easily understands the bigger picture and possesses an enterprise-wide view. Skills: Machine Learning Customer Solutions Risk Assessments Technical Knowledge Competitive Advantages Design Enterprise Architecture Framework Experience: 5-7 years related experience.
Experience implementing production solutions that leverage generative AI and LLMs, agentic frameworks
Implementation/use of SDLC harnesses for increasing personal and team productivity
Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery
Model solution design, build, orchestration and implementation
Experience building solutions with model governance, risk management, and regulatory adherence at top of mind
Continuous support of models deployed to production applications
Release planning, coordination, and hands on support throughout release windows
