AI/ML Engineer

(B2 B / Remote Work / Long-Term Cooperation)



For 30 years, we’ve specialized in IT recruitment, and we know exactly what IT experts like you need. If you’re looking for new challenges, aren’t afraid of skill-building projects, and want to stay on the technological cutting edge—then you’ve come to the right place!



About the Project





Our client from the pharmacy sector is seeking a AI/ML Engineer to join their team and have a real impact on product and company development from day one. We need a highly skilled AI/ML Engineer to help us build AI-powered applications from start to finish. We'll be working on AI and Gen AI solutions, taking them from concept to production and beyond.



Adjust pre-trained LLMs to meet specific business needs using techniques like prompt engineering, transfer learning, and few-shot learning to improve model performance.

# Build and maintain complete ML pipelines, including data ingestion, preprocessing, training, evaluation, deployment, and monitoring. Use MLOps best practices to make the workflows scalable and efficient.

# Scalable Model Deployment: Work with other developers to deploy models at scale using cloud infrastructure (AWS, Azure) while ensuring high availability and fault tolerance.

# Monitoring and Maintenance: Follow software development best practices, including writing unit tests, configuring CI/CD pipelines, containerizing applications, prompt engineering, and setting up APIs. Ensure robust logging, experiment tracking, and model monitoring.





Experience: 3+ years in AI/ML engineering with exposure to both classical machine learning methods and language model-based applications.

# Technical Skills: Advanced proficiency in Python and experience with deep learning frameworks like Py Torch or Tensor Flow. Experience deploying LLM and other AI models with cloud platforms (AWS, Azure) and machine learning workbenches for robust and scalable productization.

# Experience with AWS services for designing cloud solutions. Familiarity with Azure is a plus. Experience with Gen AI-specific services like Azure Open AI, Amazon Bedrock, Amazon Sage Maker Jump Start, etc.

# Data Engineering: Expertise in working with both structured and unstructured data, including data cleaning and feature engineering with data stores like vector, relational, No SQL databases, and data lakes through APIs.

# Problem-Solving Skills: Strong analytical skills to tackle complex engineering challenges, integrate new technologies, and improve existing processes.





Remote/

B2 B Contract – flexible collaboration, straightforward settlements.

Long-Term Cooperation – we offer long-lasting projects, and once they end, we strive to find new ones that suit your skill set.