Project description

Looking for a highly skilled Senior Machine Learning and Image Processing Specialist to join our innovative team. This role requires extensive experience in graphics, including 3D graphics, and proficiency in NNs and ML approaches for graphics processing. The successful candidate will lead a team of developers working on cutting-edge projects.

Responsibilities:

- Lead the development team in designing and implementing ML algorithms for image and 3D graphics processing

- Develop and optimize image processing pipelines and 3D graphics algorithms

- Utilize NNs and advanced ML techniques to enhance graphics processing capabilities

- Collaborate with cross-functional teams to implement ML solution

- Conduct code reviews, provide technical mentorship, and ensure best practices in software development

- Stay updated with the latest advancements in machine learning, neural networks, and graphics processing

Must have Skills:

- Solid programming skills in C/C++ and Python

- Proven expertise in ML and image processing techniques

- Big experience with deep learning frameworks (e.g., TensorFlow, PyTorch).

- Extensive experience with 3D graphics and related technologies

- Good knowledge of mathematics and linear algebra

- Strong knowledge of NNs and their application in graphics processing

- Excellent leadership skills with experience in leading development teams

- Strong problem-solving abilities and the capability to work collaboratively in a team environment

- Proficiency in GPU Kernels and their implementation for algorithm optimization

Nice to have:

- Knowledge of computer vision techniques

- Familiarity with cloud platforms and their services related to ML and graphics processing

- Experience with software development best practices, including version control and CI/CD pipelines

Other:

• - English: B2 Upper Intermediate

It's a new product of a company is the 3rd largest social discovery company in the world that unites people communication through online platforms focusing on AI, game mechanics, and video streaming.

Responsibilities:

• Solving NLP problems such as summarization, classification, clustering, NER, using modern techniques including LLM;
• Participate in the full development cycle, from problem definition to implementation;
• Building a data processing and pre-training LLM pipelines for text generation, chatbot development, RAG systems;
• Developing new approaches and data partitioning processes to assess the quality of LLM performance;
• Extracting data from various sources (reading from files, APIs, databases);
• Participate in generating requirements and necessary data for model improvements;
• Implementing the model in production, supporting the model lifecycle, monitoring and updating.

Requirements:

• Experience in the role of Data Scientist/LLM engineer for more than 5 years
• Experience in Data Science related to natural language processing (NLP);
• Proficiency in Python, including NumPy, Pandas, Scikit-learn and text processing libraries;
• Practical experience in developing and implementing NLP models for classification, text clustering, NER (Named Entity Recognition), etc;
• Experience with deep learning frameworks (TensorFlow/Keras or PyTorch), including model building, training and evaluation;
• Knowledge of GPT, BERT and other Transformer model architectures;
• Knowledge of various metrics for evaluating the quality of NLP models (precision, recall, F1-score, AUC-ROC, etc.), ability to select appropriate metrics for a particular task;
• Experience in bringing models to production;
• Experience in using tools for performance and quality monitoring;
• Experience with model training: Qwen, llamaindex and Mistral.