Machine Learning Engineer – Remote (ML/NLP/LLM)

About the role

We are looking for a senior Machine Learning Engineer to design and deliver end‑to‑end AI solutions, including NLP, large language models and agentic AI, for our global clients. You will work remotely with cross‑functional teams to turn business problems into production‑ready models that run at scale on Databricks and AWS.

Key responsibilities

• Co‑define AI solutions with product, engineering and data stakeholders, translating objectives into measurable metrics.
• Build data pipelines and feature‑engineering workflows using Python, PySpark and Databricks.
• Develop, train, evaluate and maintain traditional ML models and advanced NLP/LLM solutions such as Transformers, embeddings, RAG and structured outputs.
• Design agentic workflows that connect LLMs with tools, APIs, retrieval systems and business rules, ensuring safety and observability.
• Package, deploy, monitor and retrain models on Databricks/MLflow and AWS, exposing FastAPI services for real‑time, batch and asynchronous workloads.

Required profile

• 7+ years of experience delivering end‑to‑end machine‑learning, NLP and LLM solutions from problem definition to production.
• Deep expertise in NLP, text intelligence and LLM techniques, including tokenization, embeddings, semantic search, RAG and hallucination mitigation.
• Strong background in traditional ML models (classification, regression, ranking, forecasting, segmentation, anomaly detection, explainability).
• Proven MLOps experience with Databricks, MLflow and AWS, covering model packaging, CI/CD, monitoring, drift detection and cost optimisation.
• Advanced proficiency in English.

Required skills

• Python
• PySpark
• Databricks
• MLflow
• AWS
• FastAPI
• Transformers
• Large Language Models (LLM)
• Natural Language Processing (NLP)
• Tokenization
• Embeddings
• Semantic search
• Retrieval‑Augmented Generation (RAG)
• Agentic AI workflows
• API integration
• CI/CD
• Model monitoring & drift detection
• Cost optimisation

What we offer

• 100 % remote work from anywhere.
• Competitive compensation in USD or local currency.
• Provided hardware and software setup.