ML/AI Engineer

At Uvik Software, we specialize in building dedicated development teams and delivering robust, scalable software solutions for global clients. 

We’re currently expanding our AI/ML division and looking for a talented ML/AI Engineer.

This role offers an exciting opportunity to work on advanced machine learning models and contribute to real-world AI applications in a dynamic, innovation-driven environment.
 

What You’ll Do
 

• Design, develop, and optimize Generative AI models such as Large Language Models (LLMs), GANs, VAEs, and diffusion models for practical use cases.
• Apply and fine-tune machine learning and deep learning algorithms using tools like TensorFlow, PyTorch, and Scikit-learn.
• Build and maintain scalable ML pipelines, integrating with cloud platforms such as AWS, Google Cloud Platform, or Azure.
• Contribute to and maintain MLOps practices, CI/CD pipelines, and version-controlled experimentation.
• Monitor deployed models for drift, performance degradation, and ethical considerations.
• Stay up-to-date with the latest research and trends in Generative AI and applied ML.

• Follow best practices in data governance, security, and compliance related to AI development.

   

  What We’re Looking For:
   

• Proven hands-on experience in Machine Learning, Deep Learning, and Natural Language Processing (NLP).
• Deep understanding of Generative AI architectures, including: LLMs (e.g., GPT, BERT, LLaMA) ; GANs, VAEs, Diffusion Models
• Proficiency in one or more ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn.
• Strong programming skills in Python and experience with data libraries (e.g., NumPy, Pandas).
• Experience with cloud-based model deployment and services in AWS, Azure, or GCP.
• Familiarity with MLOps, model versioning, and tools like MLflow, Airflow, or Kubeflow is a big plus.
• Experience working in Agile teams, using modern DevOps tools and practices.
• English proficiency: Upper-Intermediate level or higher (B2+)

+ Nice to Have
Experience with vector databases, retrieval-augmented generation (RAG), or semantic search.

Familiarity with LangChain, LlamaIndex, Transformers (HuggingFace).

Contributions to open-source ML projects or published research papers.

Why Join Uvik?
Work remotely from anywhere.

Join a professional and supportive team.

Work on meaningful, global projects in ML/AI and software development.

Flexible working hours and clear career development path.

Access to learning resources, conferences, and training.

If you're passionate about machine learning an