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Are you a Senior Machine Learning Engineer passionate about making a significant impact in the tech industry? We are seeking an individual with comprehensive knowledge in machine learning and data engineering who is ready to develop and implement groundbreaking models.
In this role, you will work alongside diverse teams to engineer strategic solutions beyond machine learning. Our workspace champions innovation and offers a supportive environment that promotes growth.
If you thrive on solving complex problems and delivering impactful results, we encourage you to apply and join us.
The remote option applies only to the Candidates who will be working from any location in Kazakhstan.
What You’ll Do - Convert machine learning models and algorithm prototypes into production-ready optimized ML pipelines
- Contribute to ML pipeline design and development, including validation and cold start problems, A/B tests, feedback loop, etc
- Create and maintain ML pipeline steps
- Optimize/tune ML models and ML pipelines to meet production environment requirements
- Automate key parts of CI/CD pipelines for ML pipelines
- Collaborate with data scientists to fine-tune and optimize models
- Write specifications, documentation and user guides for developed solutions
- Integrate ML models into existing software systems or create new applications
- Allocate activities to junior ML engineers and bring tasks to closure
- Improve coding practices, support code reviews and introduce best practices for model management
What You Have - 5 years of production experience working in an MLE role
- At least one project delivered to production in an MLE role
- Expertise in engineering best practices
- Solid knowledge of Machine Learning fundamentals
- Background in integrating ML models into complex data-driven systems
- Familiarity with the Python ML ecosystem
- Proficiency in at least one major Cloud Provider such as AWS, GCP and Azure
- Experience with one of the MLOps-related platforms/technologies such as AWS SageMaker, Azure ML, GCP Vertex, Databricks MLFlow, Kubeflow or TensorFlow Extended
Nice to Have - Competency in the Apache Spark Ecosystem
- Expertise in LLM/GenAI
We Offer - We connect like-minded people:
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 50+ countries
- Corporate and social events
- We invest in your growth:
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to LinkedIn Learning, Get Abstract, O'Reilly, Cloud Guru
- Free English classes with certified teachers
- Discounts in local language schools, including online courses for the Kazakh language
- We cover it all:
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Six trust days per year (sick leave without a medical certificate)
- Coverage of psychology sessions of your choice
- Discounts for fitness clubs and sports programs
- Benefits package (hotels, tech stores, food delivery)
About EPAM - EPAM Kazakhstan is a team of technologists and innovators united by a passion for technology. Today, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM Kazakhstan received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation
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