Senior Machine Learning Engineer

We are seeking an experienced Senior Machine Learning Engineer to join our team.
The ideal candidate will take on leading roles in designing, developing, and optimizing our machine-learning platform. Your contributions will drive the success of our prediction models in real-world applications.
The remote option applies only to the Candidates who will be working from any location in Serbia.

#LI-DNI

Responsibilities

• Contribute to the design, development, and operational lifecycle of the ML pipeline based on best practices
• Design, create, maintain, troubleshoot, and optimize ML pipeline steps
• Own and contribute to the design and implementation of ML prediction endpoints
• Collaborate with System Engineers to configure the ML lifecycle management environment
• Write specifications, documentation, and user guides for developed applications
• Promote improved coding practices and repository organization in the science work cycle
• Establish and configure pipelines for projects
• Identify technical risks and gaps, and devise mitigation strategies
• Collaborate with data scientists to productionalize predictive models, understand the scope and purpose of the models built by data scientists, and create scalable data preparation pipelines

Requirements

• Minimum of 3 years of programming language experience, ideally in Python, and strong SQL knowledge
• Robust MLOps experience (Sagemaker, Vertex, or Azure ML)
• Intermediate level in Data Science, Data Engineering, and DevOps Engineering
• Experience with at least one project delivered to production in an MLE role
• Expertise in Engineering Best Practices
• Practical experience in implementing Data Products using the Apache Spark Ecosystem (Spark SQL, MLlib/SparkML) or alternative technologies
• Experience with Big Data technologies (e.g., Hadoop, Spark, Kafka, Cassandra, GCP BigQuery, AWS Redshift, Apache Beam, etc.)
• Proficiency in automated data pipeline and workflow management tools, i.e., Airflow, Argo Workflow, etc
• Experience in different data processing paradigms (batch, micro-batch, streaming)
• Practical experience working with at least one major Cloud Provider such as AWS, GCP, and Azure
• Production experience in integrating ML models into complex data-driven systems
• DS experience with Tensorflow/PyTorch/XGBoost, NumPy, SciPy, Scikit-learn, Pandas, Keras, Spacy, HuggingFace, Transformers
• Experience with different types of databases (Relational, NoSQL, Graph, Document, Columnar, Time Series, etc.)
• Practical experience with LLM for conversational AI systems would be a huge plus

We offer

• Diverse multicultural, multi-functional, and multilingual work environment
• Global scope, international projects in different business domains: life sciences and healthcare, retail, and distribution, software and hi-tech, etc
• Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey
• Numerous opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses
• Knowledge-sharing with colleagues from EPAM's global tech communities
• English language courses
• 25 days holiday per annum
• 5 days of sick leave without medical certification
• Private health insurance for employees and discount for private health insurance for family members
• Discount for Fit Pass program
• Comfortable modern offices in Belgrade and Novi Sad or remote work from any location in Serbia
• Regular corporate and social events (parties, sport events, advanced CSR programs etc.)
• Learning programs for kids (eKids)

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, diverse community to help you discover your fullest potential.

No less important is our applicants' safety, well-being, and experience. Therefore, until further notice, all EPAM employment interviews will be conducted remotely. Our recruitment professionals and hiring managers are standing by to ensure a robust and engaging virtual candidate experience. We look forward to speaking with you!