High-Performance AI/MLOps Software Development Lead
7 days ago
We are IBM, a global leader in technology and innovation. Our mission is to build, design, code, consult, and think along with our clients to solve some of the world's most challenging problems.
Estimated Salary: $180,000 - $250,000 per yearJob DescriptionAs a Staff AI/MLOps Development Engineer at Apptio, you will work closely with engineers, data scientists, product managers, and designers to help our customers discover new savings opportunities in hybrid cloud environments.
You will help design and engineer efficient and resilient MLOps platforms and software products that run at 'cloud-scale'. You will participate in design, architecture, and code reviews, foster collaboration, and guide the team through roadmap deliverables and other technical challenges.
Above all, you will work as a technical leader to provide our customers with great products while helping to grow a strong engineering team.
Key Responsibilities- Set the direction and goals for the MLOPs platform in terms of project impact, ML system design, and ML excellence.
- Escalate complex online/production performance and evaluation issues requiring in-depth knowledge of how the machine learning system interacts with systems around it.
- Develop and deploy AI models using machine learning techniques such as deep learning, neural networks, and chatbots.
- Apply GenAI models as part of the solution and ensure proper cloud or on-prem application pipeline with production-ready quality.
- Suggest, collect, and synthesize requirements and create an effective feature roadmap.
- Visualize, articulate, and develop an MLops framework, being aware of trade-offs between multiple approaches.
- Understand ongoing work and priorities within the team and help plan for upcoming tasks within the sprint and beyond.
- Partner with the product team to understand the problem space, competitive landscape, and constraints and help deliver engineering solutions working for both customers and IBM.
- Lead design/code reviews, provide direction, implement features with high-quality secure code, improve test coverage, performance, and observability.
- Mentor junior team members.
- Professional experience with modern software development methodologies, including Agile/Kanban, CI/CD, and DevOps.
- Software development experience with proficiency in at least one modern programming language, such as Python, Java, Go, Scala, C++, or C#.
- Experience designing and implementing AI/MLOps infrastructure (architecture, design patterns, reliability, and scaling) of new and current systems with some directly focused on Data Integration.
- Bachelor's degree in computer science, engineering, or a related field, or relevant work experience.
- Familiarity with cloud-based integration platforms and services.
- Excellent problem-solving and analytical skills with a detail-oriented approach to development.
- Experienced with modern API design and implementations.
- Advanced understanding of data governance, security, and privacy considerations related to data integration.
- Experience with Linux-based integrated development environments, or equivalent.
- Exceptional customer focus, ownership, and drive.
- Demonstrated capability to provide depth and breadth technical leadership.
- Experience in mentoring, recruiting, and team-building.
- Excellent communication skills, both written and verbal.
- Advanced knowledge/education in engineering, particularly Big Data.
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