NIX, a global supplier of software engineering and IT outsourcing services, is looking for a Data Science Lead in its office in Budapest (Vaci Greens, 13th district). You’ll be part of a team of professionals who are ready to find the best tailor-made IT solutions for their multinational clients in various industries and solve complex problems.

Responsibilities:

• 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.

Requirements:

• 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 recognise high performers.
• Strong leadership and mentoring skills.
• Experience in recruiting and building a team.

Required skills:

• 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.

Will be a plus:

• 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 optimisation, 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 containerised (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.

What we offer:

• Competitive compensation packages.
• Stable employment, based on a full-time employment contract.
• Private health insurance (Medicover Сlinic).
• AYCM sport pass, providing discounts at various sports facilities in Hungary.
• Interesting tasks and diverse opportunities for developing your skills.
• Free training courses, including English.
• 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.
• Friendly, motivating atmosphere.
• Active corporate life.

If you feel you’re ready to join the team, apply for this job now! We’re already looking forward to meeting you!