Senior ML Engineer
Poland
Exadel
Advance your business through technology and pave the way to becoming a digital leader with Exadel, an enterprise software development and consulting company.We are looking for an experienced Senior ML Engineer to join our team of professionals!
As a member of the Engineering team, Machine Learning Engineer implements machine learning models into production by utilizing state-of-the-art tools/algorithms and methodologies following DevOps and a test-driven development process. You will have a key role in bridging the gap between insight and actions. You will work in close collaborations with the data scientists and guide them to focus not only on model performance but also on delivery stability, reproducibility, and scalability of a software product. As a Machine Learning Engineer, you are focused on value creation and growth by delivering machine learning models that enable excellent customer experience and business results.
Work at Exadel - Who We Are:
Since 1998, Exadel has been engineering its own software products and custom software for clients of all sizes. Headquartered in Walnut Creek, California, Exadel currently has 2700+ employees in development centers across America, Europe, and Asia. Our people drive Exadel’s success, and they are at the core of our values, so Exadel is a people-first cultured company.
About the Customer:
The customer is one of the largest international clothing-retail companies known for its fast-fashion clothing. The business concept is to offer fashion and quality at the best price in a sustainable way.
Project Team:
When you join our team, you'll be immersed in a culture where teammates always help each other achieve better results. We believe that together we are greater and can find brilliant solutions by sharing ideas.
Requirements:
- 3+ years MLOps experience (e.g., model versioning, testing, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning)
- Familiarity with at least one of the major cloud solutions, preferably Azure. Ability to recommend and select the right services available in the cloud to address technical problems
- A high customer and consumer focus
- Excellent knowledge and experience with software design principles and design patterns
- Excellent knowledge of Agile and Scrum methodology, great team performance, and ability to focus on delivering business value
Nice to Have:
- DevOps experience (e.g., CI/CD Pipelines, Infrastructure as Code, containers, Agile software development)
- Good knowledge of RDBMS and NoSQL databases, good skill with SQL
- Good understanding of Spark and Hadoop ecosystem
English level:
Intermediate+
Responsibilities:
- Collaborate with Data Scientists to test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network
- Manage project delivery, planning, steering, and risk to ensure that the delivery is effective and anchored to value
- Handle product development and management, as well as product risk and issue management
- Assist during application deployment and in need of support
- Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution
- Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed, and future-proof code
- Design, develop and maintain the framework for the analytical pipeline
- Develop common components to address pain points in machine learning projects, like model lifecycle management, feature store, and data quality evaluation
- Provide input and help implement framework and tools to improve data quality
- Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers, and others to build the AI ecosystem
- Deliver on time, demonstrating a solid commitment to delivering on the team mission and agreed backlog
- Implement and manage secure systems
- Manage on-premise hardware
Advantages of Working with Exadel:
- You can build your expertise with our Client Engagement team, who provide assistance with existing and potential projects
- You can join any Exadel Community or create your own to communicate with like-minded colleagues
- You can participate in continuing education as a mentor or speaker. You will not only be emotionally but also financially rewarded for mentoring
- You can take part in internal and external meetups as a speaker or listener. We support you in broadening your horizons and encourage knowledge sharing for all of our employees
- You can learn English with the support of native speakers
- You can take part in cultural, sporting, charity, and entertainment events
- Working at Exadel means always upgrading your skills and proficiency, so we provide plenty of opportunities for professional development. If you’re looking for a challenge that will lead you to the next level of your career, you’ve found the right place
- We work hard to ensure honest and open relations between employees and leadership, so our offices are friendly environments
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Azure CI/CD CX Data quality DevOps Engineering Hadoop Machine Learning ML models MLOps NoSQL Pipelines RDBMS Scrum Spark SQL TDD Testing
Perks/benefits: Career development Startup environment Team events
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