Job Responsibilities
- Engage with business stakeholders to refine requirements, assist with framing business problems as machine learning problems, and help define success metrics
- Define appropriate data engineering processes to facilitate data preparation and feature engineering
- Collaborate with data scientists and data and ML engineers in selecting and evaluating ML models and algorithms using factors such as accuracy, scalability, interpretability, etc.
- Develop end-to-end AI/ML solutions in compliance with and leveraging firm’s policies, standards, and AI/ML governance processes
- Provide technical leadership throughout the entire machine learning lifecycle, in collaboration with architecture, security, risk, operations, and other partner organizations
- Design and lead proof-of-concepts, commercial product evaluations, and custom solutions
Required qualifications, capabilities, and skills
- Formal training or certification on software architecture and machine learning systems concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
- Bachelor’s degree or higher in computer science, data science, information systems, or electrical engineering
- Experience with core machine learning algorithms, deep neural networks, NLP, and LLMs/SLMs.
- Advanced knowledge of software architecture and development for machine learning systems with hands on experience throughout the entire machine learning lifecycle.
- Deep understanding and hands-on experience with public cloud technologies, especially with AWS & its machine learning stack
- Working experience with big data, data lakes/data mesh/lake house architectures, and ML data engineering processes, tools & techniques.
- Significant experience with one or more programming languages, at least Python and Java, and DevOps processes and tools such as Containers, Iac, CI/CD, etc.
Preferred qualifications, capabilities and skills
- Azure OpenAI experience would be a strong plus