AI/ML Engineer

3 Weeks ago • 2 Years + • Artificial Intelligence

Job Summary

Job Description

GT seeks an AI/ML Engineer with 2+ years of experience and strong Python skills for healthcare and pharmacy projects. Responsibilities include developing forecasting models (e.g., ophthalmologist appointment scheduling, product demand prediction), implementing NLP and semantic similarity solutions, and contributing to various ML tasks like clustering and vector search. The role involves translating user needs into technical solutions, designing POCs, collaborating with clients, presenting findings, and maintaining documentation. Experience with Generative AI, LLMs, model deployment, and cloud platforms is essential.
Must have:
  • 2+ years AI/ML experience
  • 3+ years Python experience
  • Generative AI & LLMs
  • Model deployment
  • NLP, Similarity, Clustering
  • Cloud platform experience
  • RAG techniques
  • Git, SQL, PyTorch
  • LlamaIndex or LangChain
  • Hugging Face Transformers
  • Vector databases
  • Time-series forecasting
  • Pandas/NumPy
  • LLM evaluation frameworks
  • Upper-intermediate English
Good to have:
  • Databricks experience
  • Vector search, kNN, aNN search
  • Graph RAG implementation
  • Keyword extraction
  • GCP experience
Perks:
  • Health insurance
  • Psychotherapy coverage
  • Sport coverage
  • Learning budget
  • Massage & SPA budget
  • Commute allowance (Kyiv)
  • Paid vacation days
  • Paid sick leaves
  • Paid public holidays
  • Maternity & paternity leave

Job Details

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

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