Data Science Lead @

• 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 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 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.

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.

WHAT CAN WE OFFER YOU:

• Competitive compensation packages.
• Stable employment, based on a full-time employment contract.
• Mentoring program and professional development plan.
• Private health insurance (Medicare 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

,[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: Data science, ML pipelines, leadership, mentoring skills, Python, ML, math, ML libraries, PyTorch, TensorFlow, LLM architectures , OpenAI API, AWS Bedrock, Gemini, Gemma, CV architectures, ResNet, AE, VAE, Cloud Platforms , GCP, AWS, Azure, CI/CD, REST/GRPC, flask/fastapi, Docker, PostgreSQL, MSSQL, MySQL, SQL/NoSQL , Spark internals, MongoDB, DynamoDB, AWS Kinesis, Kafka streams, ECS, Kubernetes, Lambda, JSON, XML, Proto, Parquet, MLOps Tools: Jira, Confluence. Additionally: International projects, Paid English courses, Mentoring program, Bike parking, Free coffee, Playroom, Shower, Free snacks, Modern office, No dress code.

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