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AI/ML Engineer

1 Day ago • 2 Years + • Artificial Intelligence

Job Summary

Job Description

This AI/ML Engineer role, based remotely in Europe, Ukraine, or Turkey, involves developing forecasting models, NLP solutions, and semantic similarity applications for a UK-based healthcare and pharmacy client. Responsibilities include translating user needs into technical solutions, designing proof-of-concept models, collaborating with clients, presenting findings, maintaining documentation, and staying updated on AI advancements. Projects include forecasting ophthalmologist appointments and predicting product demand. The role demands proficiency in Python, experience with generative AI and LLMs, model deployment, and familiarity with various cloud platforms and specific tools.
Must have:
  • 2+ years AI/ML experience
  • 3+ years Python experience
  • Generative AI & LLMs
  • Model deployment
  • Similarity, NLP, 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
  • Graph RAG implementation
  • Keyword extraction
  • GCP experience

Job Details

GT was founded in 2019 by a former Apple, Nest, and Google executive. GT’s mission is to connect the world’s best talent with product careers offered by high-growth companies in the UK, USA, Canada, Germany, and the Netherlands.

On behalf of our client, 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 for a UK-based client in the healthcare and pharmacy domain. Tasks will involve 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

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