AI/ML Engineer

GT was founded in 2019 by a former executive from Apple, Nest, and Google - Andy Baynes . GT's mission is to connect the world's best talent with product careers offered by high-growth companies in UK, USA, Canada, Germany and the Netherlands. Our engineers have worked on products with McLaren, Universal Studios, Jaguar Land Rover, Reevoo, SmartXpo, Rio ESG, Eagle Genomics - to name a few.

Based in the UK, the US, Canada and Ukraine, GT offers both full remote and flexible (office & remote) opportunities.

🇺🇦 GT firmly stands with our friends and colleagues in Ukraine and with all the people of Ukraine. We don’t work with russia & belarus, we donate & volunteer on a regular basis. In 2023 GT was part of the TOP 100 companies that support Ukraine & Ukrainians.

GT is looking for an AI/ML Engineer with strong experience in Python to contribute to several ongoing projects.

About the Role:

The position is in the healthcare and pharmacy domain, with tasks involving forecasting models, NLP, semantic similarity, clustering, and related areas.

Examples of projects:

• Developing a forecasting model to support scheduling of ophthalmologist appointments across clinics

• Building a forecasting model to predict product demand

• Supporting additional projects as needed

Responsibilities:

• Understand and translate end-user requirements into technical solutions

• Develop solutions for semantic similarity, NLP, labeling, clustering, and vector search problems

• Design and implement rapid proof-of-concept solutions

• Participate in discovery stages with clients to define problem scope and solution approaches

• Present work results and contribute ideas in team meetings

• Create and maintain documentation for ML systems and processes

• Stay current with ML/AI advancements and evaluate new techniques for potential implementation

Essential knowledge, skills & experience (Must-have):

• At least 2 years of AI/ML experience

• 3+ years of Python experience

• Experience with Generative AI and LLMs

• Experience in model deployment

• Experience with similarity, NLP, labeling, clustering, and data cleaning solutions

• Cloud platform experience (AWS, GCP, or Azure)

• RAG techniques implementation

• Git version control

• SQL knowledge

• PyTorch

• LlamaIndex or LangChain

• Hugging Face Transformers

• Experience with vector databases (Weaviate DB or Milvus db)

• Time-series forecasting tools: Prophet, ARIMA, or TimeGPT

• Pandas/NumPy for time-series data manipulation

• LLM evaluation frameworks (e.g DeepEval)

• At least Upper-intermediate English

Nice-to-have:

• Databricks experience

• Vector search, kNN, aNN search

• GraphRAG implementation

• Keyword extraction

• GCP experience: VMs, VertexAI

Interview Steps

1. GT interview with Recruiter

2. Technical interview

3. Final interview

We go beyond usual perks… By working with us, you will get:

• Health insurance

• Psychotherapy coverage

• Sport coverage

• Learning budget

• Budget for massages & SPA

• Monthly commute allowance for those who visit the office in Kyiv (Kooperativ)

• Paid vacation days

• Paid sick leaves

• All public holidays are paid days off

• Maternity & paternity leave policy