Senior ML Engineer (with MLOps experience)
Viktor initially began his career as a BA but over the years he has progressed remarkably to the status of Manager of the Delivery Department. Within the Delivery Department, he oversees a number of teams (QA/AQA, DevOps, BA/PM, UX/UI), as well as client interactions and communication with other divisions. Viktor’s career path is an example of how one can grow and advance in their profession by applying their knowledge, skills, and talents in different roles and contexts. In his free time, Viktor enjoys reading, especially books on management and psychology, taking motorbike trips, and cooking.
Viktar Khorsun
Head of Delivery
We are looking for a skilled ML Engineer with experience in AWS and/or Azure, recent foundation models, and state-of-the-art (SOTA) machine learning technologies, particularly in Computer Vision, NLP problems, and Retrieval-Augmented Generation (RAG).
Key Responsibilities:
- Design, develop, and maintain ML pipelines and infrastructure using cloud solutions
- Collaborate with data scientists and developers to align ML solutions with business goals
- Consult clients on migrating to more advanced MLOps approaches
Required Qualifications:
- 4+ years of experience in ML projects
- Proficiency with Azure ML services and/or AWS SageMaker
- Experience with foundation models (e.g., GPTs, Cohere, Llama, Stable Diffusion) and ML frameworks (e.g., TensorFlow, PyTorch)
- Expertise in CV, NLP problems, and RAG
- Proficiency in Python programming language
- Experience with containerization (Docker) and data workflow orchestration (Apache Airflow or Cloud Composer)
- Knowledge of at least two of the following CI/CD tools: Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps
- Familiarity with data versioning and experiment tracking tools (DVC, MLflow, or similar)
Nice to Have:
- ML consulting experience
- AI architecture design experience
- Experience with Amazon Bedrock agents
- Knowledge of big data technologies (Apache Spark, Databricks, Snowflake, or Amazon Kinesis)
- Certifications in Azure and/or AWS
What we offer:
- Remote work
- Individual high-quality English language training during working hours
If you are ready to take on this challenge and have the necessary skills, we invite you to join our team as an experienced ML engineer!