Senior ML Engineer
HaystackAbout the role
We're working with a leading financial institution that leverages technology and innovation to deliver diverse financial products and services to millions of customers. This role offers the opportunity to drive the future of intelligent systems within a dynamic and forward-thinking environment.
The Role
Design, build, and deliver ML models and components to solve real-world business problems
Inform ML infrastructure decisions using your understanding of ML modeling techniques
Solve complex problems by writing and testing application code, developing and validating ML models
Collaborate as part of a cross-functional Agile team to create and enhance machine learning applications
Retrain, maintain, and monitor models in production
Leverage or build cloud-based architectures to deliver optimized ML models at scale
What You'll Need
Bachelor's Degree
At least 8 years of experience designing and building data-intensive solutions using distributed computing
At least 4 years of experience programming with Python, Scala, or Java
At least 3 years of experience building, scaling, and optimizing ML systems
At least 2 years of experience leading teams developing ML solutions
Strong communication skills to articulate complex technical concepts.
What's On Offer
Competitive annual salary between $229,900 - $262,400
Opportunity to work with cutting-edge machine learning technologies
A supportive and collaborative work environment
Comprehensive, competitive, and inclusive benefits package
Apply via Haystack today!
Responsibilities
- Design, build, and deliver ML models and components to solve real-world business problems
- Inform ML infrastructure decisions using your understanding of ML modeling techniques
- Solve complex problems by writing and testing application code, developing and validating ML models
- Collaborate as part of a cross-functional Agile team to create and enhance machine learning applications
- Retrain, maintain, and monitor models in production
- Leverage or build cloud-based architectures to deliver optimized ML models at scale
Qualifications
- Bachelor's Degree
- At least 8 years of experience designing and building data-intensive solutions using distributed computing
- At least 4 years of experience programming with Python, Scala, or Java
- At least 3 years of experience building, scaling, and optimizing ML systems
- At least 2 years of experience leading teams developing ML solutions
- Strong communication skills to articulate complex technical concepts
Benefits
- Competitive annual salary
- Opportunity to work with cutting-edge machine learning technologies
- A supportive and collaborative work environment
- Comprehensive, competitive, and inclusive benefits package
Skills mentioned
About Haystack
Haystack combines AI & expert vetting to deliver world-class tech candidates who are engaged, aligned, and ready to interview. We're trusted by over 400,000+ tech candidates, working in Software Engineering, Data, Design, DevOps, Cloud, Tech Management, Testing, Product & Delivery, Architecture and more. 100s of employers from startups and scale-ups like Atom Bank, DuckDuckGo and Goodlord to established enterprises like American Express, Dunelm and AWS use Haystack to connect with qualified tech talent that they can't find anywhere else.
H-1B sponsorship history
Historical employer filing data was found for Haystack. The employer record includes 1 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.