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Senior Machine Learning Engineer

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Driven to make a difference as a Senior Machine Learning Engineer in the tech industry? We are on the lookout for an individual with a passionate commitment, a wealth of skill in machine learning and data engineering, and a readiness to unleash groundbreaking models.

Join our ranks if you find satisfaction in navigating through complex systems and achieving consequential results. In our fold, your role will extend beyond machine learning, mandating a cooperative interaction with diverse teams to engineer strategic resolutions.

Our workspace champions innovative thought and provides a supportive environment, fostering growth at every turn. If you're eager to significantly contribute to transformative projects and accelerate your career, you may just be the visionary we seek.

Embark on this thrilling voyage of discovery and reinvention with us.

Your dream job is just a decision away!

Responsibilities

  • Work with DevOps/System engineers to automate necessary infrastructure provisioning
  • Contribute to creating ML platforms
  • Converting machine learning models and algorithms prototypes into production ready optimized ML pipelines
  • Contribute to ML pipeline design and development (including validation and cold start problem, A/B tests, feedback loop, etc)
  • Create from scratch, maintain, troubleshoot, and optimize ML pipeline steps
  • Optimizing / tuning ML models and ML pipelines to satisfy production environment requirements
  • Automating key parts of CICD pipelines for ML pipelines
  • Collaborating with data scientists to fine-tune and optimize models
  • Write specifications, documentation, and user guides for developed solutions
  • Integrating ML models into existing software systems or creating new applications
  • Allocate activities to junior ML engineers and take tasks to closure
  • Improvise coding practices, support code reviews and bring in best practices for model management

Requirements

  • At least 5 years of production experience working in MLE role
  • At least one project delivered to production in MLE role
  • Expert level in Engineering Best Practices
  • Advanced knowledge of Machine Learning fundamentals
  • Production experience in integrating ML models into complex data-driven systems
  • Experience with of Python ML ecosystem
  • Practical experience working with at least one of the major Cloud Provider such as AWS, GCP, Azure
  • Experience with one of the MLOps related platform/technology such as AWS SageMaker, Azure ML, GCP Vertex, Databricks MLFlow, Kubeflow, TensorFlow Extended

Nice to have

  • Practical experience with Apache Spark Ecosystem
  • Expertise in LLM/GenAI

We offer

  • CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
    • Diversity of tasks and projects
    • Assessment center for objective review of competency level
    • Personal development plan
    • Mentoring programs and leadership development
    • Certification and professional development support
    • Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses
    • English courses taught by certified teachers
  • CORPORATE BENEFITS
    • Extra leave days
    • Referral bonuses
  • COMPENSATION PACKAGE
    • Competitive compensation paid in USD
    • Regular salary and performance reviews
  • MEDICAL & HEALTHCARE
    • Private health insurance
    • Well-being events
  • WORKING ENVIRONMENT
    • Recreation areas and kitchens
    • Tea, coffee, and snacks
    • Well-being events
    • Sports equipment and game consoles
    • IT Equipment
    • Microsoft's Software Assurance Home Use Program (HUP)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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