Senior AI/ML Engineer

Project duration: Approximately 3 months +
Location: EU only
 

About the Role

We are looking for an experienced Senior AI/ML Engineer to join our team on a 3-month project focused on developing advanced data engineering and AI solutions.
You will design and implement Python-based data-processing services and scalable data pipelines, collaborating with a team of highly skilled professionals working on cutting-edge AI and ML projects.

The role involves working with Large Language Models (LLMs), NLP, Recommendation Systems, Conversational AI, Vector Databases, and automation through APIs.

Responsibilities

• Develop scalable services implementing AI/ML functionalities (NLP, ML, and AI models).
• Build machine learning solutions for computer vision and NLP use cases.
• Work with Large Language Models (LLMs) and perform prompt engineering tasks.
• Design and implement data transformation services for use cases such as translation, transcription, Text2SQL, and intent or gesture recognition.
• Design, build, and maintain robust ETL pipelines for data extraction, transformation, and loading.

• Implement AI/ML solutions using AWS Cloud (Bedrock, SageMaker, Lambda, Textract, etc.)

   

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience as an AI/ML Engineer, Data Engineer, or similar role.
• Strong proficiency in Python and experience with frameworks/libraries: pandas, pyspark, numpy, sklearn, matplotlib, etc.
• Experience with SQL and data querying.
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Experience with AI/ML technologies such as Computer Vision, NLP, and anomaly detection.
• Understanding of LLMs, ChatGPT, RAG, and modern AI concepts.
• Excellent problem-solving and communication skills.
• Ability to work independently and as part of a team in a fast-paced environment.

• Experience with ETL tools (Airflow, AWS Glue, etc.) is a plus.

   

Why Join

• Engage in innovative, AI-driven projects with real-world impact.
• Work remotely with a collaborative and highly skilled international team.
• Opportunity to extend cooperation after the initial 3-month engagement.