Middle Data Scientist

The stable development of a specialist is possible only if his team is stable. At NIX, we are looking for Middle Data Scientist, and we are sure that such a specialist will continue to grow professionally and will be able to reach new career heights.

RESPONSIBILITIES: 

• Be a proactive team worker.
• Collaborate with the team to implement new features to support the growing data science needs.
• Build scalable ML pipelines and workflows for real-time or batch processing, including data retrieval, preprocessing, feature engineering, training, and inferencing the models, analyzing and visualizing the results.
• Share knowledge with other teams on various data science or project-related topics.
• Collaborate with the team to decide on which tools and strategies to use within specific scenarios.
• Independently design and deliver solutions that align with stakeholder needs and requirements.
• Effectively communicate progress, problems, and potential solutions in a clear, effective, and timely manner with all stakeholders (technical and non-technical people).
• Guide junior team members and provide constructive feedback to help them grow.

WHAT WE EXPECT FROM YOU:

• 3+ years of experience with ML and DL with commercial projects in the portfolio.
• Master’s degree in computer science, data science or related field.
• English level B2+.
• Good expertise in at least one of the domains: NLP, CV, Classic ML, GenAI.
• Solid mathematical (linear algebra, calculus, optimization, statistics) and tensor calculus knowledge.
• Good knowledge of Python programming language and Object Oriented Programming (OOP) principles.
• Good knowledge of at least one database, such as MySQL, Postgres, MongoDB, as well as good SQL knowledge.
• Solid knowledge of classical machine learning techniques (e.g., linear regression, logistic regression, k-NN, decision trees, random forests, SVM, boosting, k-means, DBSCAN, naive Bayes, PCA).
• Experience in Numpy, Pandas, Matplotlib, Langchain and Scikit-learn libraries.
• Knowledge of classic evaluation metrics such as Precision, Recall, ROC AUC, PR AUC, F1 score, Specificity, Sensitivity, Confusion Matrix, MSE, MAE, R1, RMSE, MAPE, MSLE.
• Knowledge of gradient boosting algorithms (XGBoost or LightGBM).
• Experience in at least one framework to build and train neural networks (TensorFlow/Keras, PyTorch).
• Solid understanding of neural network architectures, training objective functions, optimizers, activation functions, and evaluation metrics; beable to identify specific use cases and limitations for each.
• Solid knowledge of Cloud concepts and practical experience in at least one of the clouds: AWS (e.g., Sagemaker, Bedrock, Comprehend), Azure (e.g., Azure ML Studio, Azure Rekognition, OpenAI Service), GCP (e.g., Vertex AI, Agent Builder, AI Vision).
• Practical skills with prompt engineering (few-shot learning, CoT, Self-Consistency), RAG (Naive Retriever, Parent Document Retriever, Self-Query Retriever), and vector stores (e.g., Chroma, FAISS).
• Knowledge of AI-related cloud services such as AWS Textract, AWS Converse API, AWS Builder, Azure Translator, Azure AI Vision, Azure AI Foundry, Vertex AI Agent Builder. 
• Knowledge of LLM Agents.
• Practical skills in building en-to-end ML training pipelines (data load, preprocess, train, inference), as well as GitHub / GitLab CI/CD flows.
• Docker or Kubernetes platform.
• Experience in developing web microservices (APIs, Flask, FastAPI).
• Practical experience with development and project management tools (git, pip, Jira, etc.).

WILL BE A PLUS:

• Practical experience in at least one of the clouds with the following services: AWS (Lambda, Athena, S3), Azure (Azure Functions, Azure Synapse Analytics or Databricks), GCP (Cloud Functions, BigQuery).
• Practical experience with at least a few cloud services such as AWS Textract, AWS Converse API, Azure Translator, Azure AI Vision, Azure AI Foundry.
• Ability to work with Spark/PySpark, Airflow.
• 2+ years of commercial experience with NLP/CV.

For the NLP domain:

• Experience with NLP frameworks such as LangChain, HuggingFace, LlamaIndex, NLTK, spaCy.
• Practical experience building applications based on LLM Agents using frameworks like LangGraph or Crew.ai.
• Familiarity with prompt optimization frameworks like DSPy, textgrad, “ell” framework, etc;
• Practice in building an LLM Agents with LangChain.
• Good knowledge of various NLP evaluation metrics such as BERTScore, cosine similarity, RAGAS, BLEU, ROUGE, and Perplexity.
• Practical experience with at least one Vector Database (Pinecone, Weaviate, PostgreSQL pgvector extension, etc.).
• Knowledge of Large Language Model (LLM) architectures (OpenAI GPT, Anthropic Claude, etc.).
• Knowledge of PEFT or fine-tuning LLM techniques.

For the CV domain:

• Basic CV techniques (CNN, Convolution Algorithm, Pooling Layers, Data Augmentation in CV).
• Understanding of Computer Vision (NLP) problems: object classification, object detection, semantic/instance segmentation, Text Detection and Recognition (OCR), Style Transfer.
• Knowledge of CV frameworks such as OpenCV, YOLO.
• Knowledge of Computer Vision model architectures (CNN, ResNet, Mask R-CNN).
• Practical experience with CV models/techniques (SIFT, Transfer Learning, FCN, U-Net, StyleGAN).

WHAT WE OFFER:

• A long-term strategy for your development as an expert, together with a team that has almost 30 years of professional experience.
• Participation in large international projects that allow mastering new technologies and domains.
• Educational events and professional training that will help you build a stable career path.
• A flexible reward system where your income will depend on you and your desire to grow.
• A friendly and cozy corporate culture with a minimum level of formality and bureaucracy.
• An opportunity to choose between modern office spaces in Poltava or Kharkiv, and a remote work format, which is possible with a stable connection guarantee.

To start a successful career with NIX, send your resume to  Відправити резюме . We will be happy to overcome new professional challenges together with you!