Senior Machine Learning Engineer designing and developing generative AI systems for Adobe Firefly Services. Collaborating with other engineering teams on innovative solutions and optimizing performance in large - scale environments.
About the role
- Senior Manager for ML and AI Solutions at Credit Acceptance. Leading stakeholders to implement large-scale machine learning solutions while ensuring alignment with business objectives.
Responsibilities
- Engage with the internal and external stakeholders to understand the business needs, align with them on potential solutions and roadmaps, prioritization, execution and management.
- Manage the technical roadmap of business objectives-oriented ML and AI initiatives and manage the performance and value creation through those initiatives.
- Work closely with the ML/AI and platform engineering teams to translate business requirements into technical specifications and ensure alignment on priorities.
- Proactively explore data to find underlying trends and newer opportunities for business, and partner with stakeholders to understand the evolving customer needs, industry trends, and the competitive landscape to conceptualize new solutions to bring value to our customers.
- Define and monitor key performance indicators (KPIs) to measure the success of AI/ML products and drive continuous improvement.
Requirements
- BS in Computer Science, Engineering, ML, Data Science, or a related field (preferred MS/MBA or PhD)
- 10+ years of experience of leading the development and integration of large-scale machine learning solutions on cloud (real-time or near-real-time), preferably within the financial services/consulting industry, including 5+ years of experience in leadership capacity.
- Strong Problem-solving and collaborative skills to lead cross-functional initiatives and partnering with stakeholders across engineering, product, data and business operations teams.
- Strong understanding of ML algorithms with experience of executing roadmaps from ideation to end-to-end development and management of ML/AI systems and applications.
- 5+ years of experience using Python and SQL.
- Ability to communicate complex technical information (both verbal and written) at all levels and across all parts of the organization.
- Thought leader with deep technical expertise with the proven ability to influence and partner with business to innovate and drive outcomes.
- Ability to thrive with significant autonomy and responsibility and guide the teams.
- Preferred: Working experience in at least two of these functions: Product, Data Science, ML/AI, Data Engineering, Software Engineering.
- In-depth knowledge of Scrum and agile software development methodology.
Benefits
- 401(K) match
- Adoption assistance
- Parental leave
- Tuition reimbursement
- Comprehensive medical/dental/vision
- Nonstandard benefits that make us a Great Place to Work
- Competitive market-based salary with bonus compensation, quarterly profit sharing and annual merit bonuses
- Generous PTO and holidays (28.5 total days during first full year of employment)
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Machine Learning Engineer developing AI solutions for IDEXX's Data & AI Center of Excellence. Designing and implementing machine learning models and systems while collaborating with cross - functional teams.
Product - minded Machine Learning Engineer at Arcade crafting generative models and solutions. Collaborating across design, engineering, and product to create innovative content features.
Senior Software Engineer innovating with Generative AI solutions for cutting - edge network management. Oversee software development lifecycle and collaborate with cross - functional teams.
AI/ML Engineer applying AI/ML techniques in hardware manufacturing for yield prediction and process improvement. Collaborating on research and deployment of machine learning models.
Senior Machine Learning Engineer developing advanced ML and NLP solutions for Forrester’s conversational AI chatbot. Collaborating with cross - functional teams to deliver scalable, production - ready ML systems.
Machine Learning Engineer designing GPU computing kernels to optimize 3D GenAI models at Meshy. Collaborating with researchers to enhance performance and efficiency in GPU module development.
Senior Software Engineer developing scalable machine learning solutions for product - driven team at Maropost. Collaborating on recommendation systems and enhancing developer experience within the Machine Learning team.
Principal MLOps Engineer leading design and optimization of machine learning infrastructure at Wood Mackenzie. Collaborating with data science and engineering teams to ensure robust automated ML lifecycles.
AI Engineer with expertise in Machine Learning for Periferia IT Group. Integrating generative AI models and developing solutions in a hybrid work environment.