AI/ML Engineer

6 Months ago • 2 Years +

Research Development

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.

Good To Have:

Databricks experience
Vector search
Graph RAG implementation
Keyword extraction
GCP experience

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

Add these skills to join the top 1% applicants for this job

forecasting-budgeting

github

aws

azure

model-deployment

numpy

pytorch

pandas

git

python

sql

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