Machine Learning Engineer

This is a fully remote position, open to applicants in Macedonia, +2 more countries.

📋 Description

• Develop and enhance machine learning solutions for various projects.

• Assume responsibility for designated tasks and projects.

• Engage in client communications and clearly articulate deliverables.

• Grasp business goals and create solutions that facilitate achievement, including metrics to monitor progress.

• Collaborate across functions with Data Engineering, DevOps, and Backend teams.

• Construct and maintain generative AI systems, featuring LLM-powered application functionalities and agentic workflows.

• Develop information retrieval pipelines that encompass data ingestion, chunking, embeddings, and vector search.

• Contribute to evaluation frameworks and production monitoring for GenAI solutions.

• Manipulate, explore, and visualize data, including data cleansing.

• Deploy, maintain, and upgrade ML models and pipelines; assess model errors and devise mitigation strategies.

• Create and uphold technical documentation.

⛳️ Requirements

• Bachelor's degree in Computer Science or a related discipline.

• Over 2 years of experience in AI/ML engineering.

• Practical experience in building GenAI solutions, prompt engineering, fine-tuning and serving LLMs, search, and embeddings, utilizing popular frameworks (LangChain/LangGraph, LlamaIndex).

• Knowledge of statistical, ML, and deep learning algorithms.

• Familiarity with cloud ML services, preferably AWS (Bedrock, AgentCore, SageMaker).

• Proficient in Python and essential ML libraries and frameworks (scikit-learn, PyTorch, HuggingFace, TensorFlow, Transformers).

• Awareness of containerization and orchestration tools.

• A collaborative attitude, openness to feedback, and a desire to enhance your skills.

• Willingness to support and learn from more experienced colleagues on the ML team.

• Ability to work independently, adapt, and maintain a consistently positive presence within teams.

• Excellent proficiency in English for meetings, customer calls, and business communications.

• Resume written in English.

🏝️ Benefits

• Every other Friday off (equating to 26 additional days off per year).

• Remote-first work culture.

• Opportunities for exploration and relocation programs (three months of work abroad or full international relocation).

• Paid sick leave and local holidays.

• Business English classes program.

• Ongoing learning support.

• Fitness and/or mental health subscriptions.

• Access to LokaLabs™, our internal research and development initiative.

• Clearly defined career path.