Data Science Lead
NIX Solutions
- Харьков
- Постоянная работа
- Полная занятость
- Lead the design and development of data science solutions, including data pipelines and ML processes, leveraging your technical expertise.
- Lead and mentor a team of data scientists, providing technical guidance and oversight to ensure high-quality deliverables.
- Accurately estimate time and resources required for new projects.
- Promote a continuous learning and improvement culture, staying up-to-date with industry best practices and emerging technologies.
- Evaluating team performance and providing feedback and coaching.
- Encouraging collaboration and open communication within the team and with other stakeholders.
- Participating in the recruitment process to select new team members.
- Strong technical skills in code review, architecture and data models.
- Experience designing ML pipelines, including data collection, wrangling, training and validating ML, delivering and serving.
- Passion for continuous learning and improvement.
- Ability to accurately estimate time and resources for projects.
- Ability to manage timelines and deadlines while ensuring high-quality work.
- Excellent communication and collaboration skills.
- Ability to identify and address performance issues and recognize high performers.
- Strong leadership and mentoring skills.
- Experience in recruiting and building a team.
- Minimum English level B2.
- 6+ years of proven experience developing software using an object-oriented or functional language.
- Strong programming skills in Python.
- Proficiency in math and ML.
- Solid with ML libraries (numpy, pandas, scikit-learn) and frameworks (Pytorch, TensorFlow).
- Good at generative ML and most valuable solutions (LLM architectures and current tech stack to work with them, OpenAI API, AWS Bedrock, Google Google Gemini/Gemma).
- Good at current CV architectures (ResNet, AE, VAE, U-Net, GAN, Diffusion models).
- Experience working with Cloud Platforms (GCP, AWS, Azure – any of the listed) and their data-oriented components.
- Experience in ML serving concepts (CI/CD, REST/GRPC, flask/fastapi, docker, docker-compose).
- Expertise in the use of any relational databases (e.g., PostgreSQL, MSSQL, MySQL).
- A team player with excellent collaboration skills.
- Expertise in data storage design principles. Understanding of pros and cons of SQL/NoSQL solutions, their types and configurations (standalone/cluster, column/row-oriented, key-value/document stores).
- Deep knowledge of Spark internals (tuning, query optimization, spark ML).
- Experience with data integration and business intelligence architecture.
- Experience with non-relational databases (e.g., MongoDB, DynamoDB).
- Experience with stream processing using the current industry standards (e.g., AWS Kinesis, Kafka streams, etc.).
- Experience with containerized (Docker, ECS, Kubernetes) or serverless (Lambda) deployment.
- Good knowledge of popular data standards and formats (e.g., JSON, XML, Proto, Parquet, Avro, ORC, etc.).
- Experience with any of MLOps framework.
- Experience in data science and machine learning with building Machine Learning models.
- Experience with text-to-speech and speech-to-text architectures and models.
- Competitive compensation packages.
- Private health insurance (Medicover), which covers immediate family members.
- AYCM sport pass, providing discounts at various sports facilities in Hungary.
- Interesting tasks and diverse opportunities for developing your skills.
- Free training courses.
- Participation in internal and external thematic events, technical conferences.
- A spacious office in the heart of Budapest (13th district).
- All necessary devices and tools for your work.
- Active corporate life.
- The friendly and supportive atmosphere within the team.
- Free coffee and cookies 24/7.