AI/ML Staff Software Development Engineer -Apptio
Company: IBM Computing
Location: San Francisco
Posted on: February 18, 2025
Job Description:
IntroductionAt IBM, work is more than a job - it's a calling: To
build. To design. To code. To consult. To think along with clients
and sell. To make markets. To invent. To collaborate. Not just to
do something better, but to attempt things you've never thought
possible. Are you ready to lead in this new era of technology and
solve some of the world's most challenging problems? If so, lets
talk.Your role and responsibilitiesAs a Staff AI/MLOps Development
Engineer at Apptio, you will work closely with the Engineers, Data
Scientists, Product Managers, and Designers in helping 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.Responsibilities:
- Play a critical role in setting the MLOPs platform direction
and goals for a sizable team, in terms of project impact, ML system
design, and ML excellence.
- Be a go-to person to escalate the most complex
online/production performance and evaluation issues, that require
an in-depth knowledge of how the machine learning system and its
components interact 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
effective feature roadmap.
- Ability to visualize, articulate and develop an MLops framework
and be aware of trade-offs of multiple approaches.
- Understand the on-going work and priorities within the team and
help plan for the upcoming tasks within the sprint and beyond.
- Partner with the product team to understand the problem space,
the competitive landscape and constraints and help deliver
engineering solutions that work both for the customer 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.Required technical and professional
expertise
- Solid professional experience with modern software development
methodologies, including Agile/Kanban, CI/CD, and DevOps.
- Solid professional software development experience.
- Solid 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.
- Proficiency in at least one modern programming language, such
as Python, Java, Go, Scala, C++, or C#.
- Familiarity with cloud-based integration platforms and
services.
- Excellent problem-solving and analytical skills, with a
detail-oriented approach to development.Preferred technical and
professional experience
- 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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Keywords: IBM Computing, San Francisco , AI/ML Staff Software Development Engineer -Apptio, IT / Software / Systems , San Francisco, California
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