About EPAM :
EPAM is a leading global provider of digital platform engineering and development services. EPAM has been expanding in Singapore since 2013 and delivering the best solutions to our customers. As a recognized leader, EPAM Singapore achieved Great Place to Work® Certification in 2023 and is committed to providing our team with inspiring careers. You will have the opportunity to work with fellow talented technologists and accelerate your career by participating in our numerous upskilling, training, and certification programs. That is why EPAM Singapore was awarded Gold for Best In-House Certification Programmes in the Employee Experience Awards 2023 and Silver in the SkillsFuture Employers Awards 2022 for our efforts in championing employees' skills development and building a lifelong learning culture at the workplace. You can also look forward to developing holistically with the multiracial festivals and various wellness and cultural activities organized by our passionate colleagues here.
Why EPAM?
· By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2022 & 2023.
· Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters.
· You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices.
· We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey.
· At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world.
You will learn, contribute, and grow with us.
What you'll do :
Conduct reviews for compliance of the ML models in accordance with overall platform governance principles such as versioning, data / model lineage, code best practices and provide feedback to data scientists for potential improvements
· Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain.
· Optimize AI development environments (development, testing, production) for usability, reliability and performance.
· Have a strong relationship with the infrastructure and application development team in order to understand the best method of integrating the ML model into enterprise applications (e.g., transforming resulting models into APIs)
· Work with data engineers to ensure data storage (data warehouses or data lakes) and data pipelines feeding these repositories and the ML feature or data stores are working as intended
· Evaluate open-source and AI/ML platforms and tools for feasibility of usage and integration from an infrastructure perspective
· Staying updated about the newest developments, patches and upgrades to the ML platforms in use by the data science teams
What Will Make You Shine :
· Minimum 10 years of hands-on experience as an ML Engineer, specializing in Python, ML libraries (e.g., Pandas, NumPy, TensorFlow, H2O), and large-scale data processing frameworks (e.g., Hadoop, Spark, Dask)
· Advanced proficiency in Python for both ML development and automation tasks.
· Strong understanding of cloud platforms (AWS, GCP preferred) and container orchestration (OpenShift/Kubernetes)
· Extensive experience in building and maintaining CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
· Solid grasp of MLOps principles, including model operationalization, monitoring and scaling (experience with Kubeflow, Sagemaker, etc. is a plus)
· Proficiency in workflow orchestration (Airflow, Ctrl-M), logging & monitoring (Splunk, Geneos) as well as bash scripting and Unix/Linux command-line tools
· Experience in establishing and refining AI/ML development processes, standards and toolsets
How We Hire Here,
we summarize the typical journey to finding a job within EPAM:
1. Apply and tell us about yourself
2. Go through some standard interviews:
·General interview with a recruiter
·Technical interview with our technology experts
· Manager interview or Offer interview with a hiring manager
3. Get ready to join the team Not sure if you meet all the requirements?
No problem. Let’s talk anyway and find out more.
It takes 1 min of application to start the journey with us. Apply now!
