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!
