Python AI/ML Engineer Offline

Trembit is video solution provider that helps clients to utilize video streaming in full with their products. We make R&D or use existing video solutions. Among them: video chats, telehealth, broadcast studios, video convertion, transcribe and recording in real-time.

Project Technologies:

Python, Open-source LLM’s, OpenAI, AWS, GCP.

Project duration: 6+ months.

Tasks:

— Conduct in-depth investigations into AI/ML domains aligned with our company interests, ensuring our projects remain at the forefront of technological advancements.

— Perform comprehensive analyses of client requirements, crafting AI-driven proposals that address their unique challenges and objectives.

— Expertly select and meticulously optimize Large Language Models (LLMs) or other AI instruments to suit project-specific needs, ensuring peak performance and efficiency.

— Design and implement sophisticated AI-powered APIs, focusing on capabilities like transcription, summarization, and advanced image processing, and ensure their seamless integration into both demonstration settings and live operational environments.

Must have skills (hard, technical):

— Knowledge and experience with Python.

— Solid understanding of machine learning concepts, algorithms, and techniques.

— Understanding principles of LLMs, open-source and commercials, training, deploying, optimizing.

— Upper-Intermediate English or higher (ability to speak with the clients verbally).

Must have skills (soft):

— Own problems end-to-end, and are willing to pick up whatever knowledge you’re missing to get the job done.

— Have the ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.

— Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.

As a plus skills (hard, technical):

— Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and experience with containerization (e.g., Docker) is a plus.

— Knowledge of the LangChain framework.

— Basic knowledge of NumPy, WebSockets, oAuth.

— Experience with OpenCV and TensorFlow.

Education: Technical education (Math oriented).

Interview stages:

Technical part (1 stage): tech online interview with СТО+CEO.

Work schedule:

The full-time work — 100% remote. Flexible workday (start from 8.00 to 11.00).