Responsibilities

Lead the development and deployment of robust data science and machine learning pipelines, from data retrieval and preprocessing to model training, inferencing and results visualisation.

Take ownership of the architecture and optimisation of DS/ML pipelines to ensure scalability and efficiency.

Leverage ML models to build innovative solutions for tasks such as text generation, content automation, and more.

Collaborate with cross-functional teams to integrate advanced data solutions that meet evolving business needs.

Guide tools, strategies, and best practices to solve complex data science problems, including those involving LLMs and Generative AI.

Share expertise with the team and across departments to elevate the overall technical capabilities of the organisation.

Proactively identify opportunities to improve data processes, model performance and business impact.

WHAT WE EXPECT FROM YOU / REQUIREMENTS:

English level Upper Intermediate +.
Strong mathematical and statistical background, including tensor calculus.
Expertise in databases such as Postgres, MongoDB, and SQL.
Proficiency in Python, with extensive experience in libraries such as Scikit-learn, Numpy, Pandas, and Matplotlib.
In-depth knowledge and experience with gradient boosting algorithms (e.g., XGBoost, LightGBM).
Advanced experience with at least one neural network framework (TensorFlow/Keras, PyTorch), with a deep understanding of neural network architectures and optimisation techniques.
Proven commercial experience with classic machine learning and deep learning, including NLP and computer vision (e.g., BERT, ResNet).
Experience in applying LLMs and Generative AI technologies (e.g., GPT, transformer-based architectures) in real-world use cases.
Extensive experience in building end-to-end machine learning pipelines (data ingestion, preprocessing, model training, deployment, inference) and managing CI/CD workflows using GitHub/GitLab.
Practical experience with Docker or Kubernetes platforms for deployment and scalability.
Commercial experience with cloud platforms like AWS or Azure.

WILL BE A GREAT PLUS:

Familiarity with big data tools such as Spark and Airflow.

NIX is a global supplier of software engineering and IT outsourcing services

NIX teams collaborate with partners from different countries. Our specialists have experience in developing innovative projects from ecommerce to cloud for some of the largest companies in the world, including from the Fortune 500. The teams are focused on stable development of the international IT market, business, and their own professional skills.