Senior Data Scientist (AI/ML/LLM) (Part-Time/Contract) (вакансія неактивна)

We are looking for a contractor to participate in different presales activities and ongoing projects.

Requirements:

• A minimum of 2 years of hands-on experience in Python
• Solid knowledge of Natural Language Processing techniques, including training and fine-tuning Neural Networks for NLP tasks;
• Experience with AI-related technologies such as LangChain and LLMs;
• Experience with ChatGPT, GPT-4, and OpenAI API;
• Experience with relational databases and NoSQL;
• Experience with vector stores (Pinecone, FAISS, Chroma, etc)
• Experience with integrating and maintaining integrations with 3rd party services;
• Advanced level of English, both verbal and written;

Nice to have:

• Experience fine-tuning Large Language Models
• Experience working on semantic search
• Experience running production systems and processing user interactions and feedback
• Experience with distributed architecture and asynchronous communication
• Experience with Docker

Responsibilities:

• Take part in projects developing AI and ML models for clients
• Participate in discoveries and pre-sales, and initial engagements with clients
• Design project scope, and roadmap, estimate analytical and deployment efforts
• Transform business challenges to AI application
• Present results directly to stakeholders and gather business requirements
• Compile and interpret analysis results as well as contribute to the proposals and architecture vision delivered to the customer
• Use cutting-edge technology and tools to develop and implement data-driven solutions
• Contribute to the establishment of procedures and best practices for internal and external use.
• Work closely with other engineering teams.

Duration of involvement: approx 15 hours/week. Possible increasing the number of hours.

What we offer:

• 50% cost compensation for English courses at the office
• Flexible work schedule
• Additional days off for special occasions, national holidays off
• A competitive and rewarding salary based on performance appraisals/knowledge evaluation
• Possibility to share and gain knowledge on regular tech talks
• Friendly and professional team
• Innovative projects with advanced technologies
• Corporate events
• Remote work