Middle ML & AI Engineer

This is a fully remote position, open to applicants in Ukraine, +5 more countries.

📋 Description

• Design, develop, and optimize generative AI models utilizing transformer architectures.

• Apply advanced generative AI techniques to address real-world challenges.

• Leverage LangChain, LangGraph, and LangSmith to create automated pipelines and intelligent agents.

• Combine modern AI toolkits with vector databases for similarity search and real-time analysis.

• Process and analyze extensive volumes of unstructured data using embeddings and statistical modeling.

• Construct production-grade ML systems for real-time, high-volume data processing.

• Mentor junior team members.

• Keep abreast of developments in Agentic AI, transformer models, and generative systems.

• Collaborate with Product and Engineering teams on data management and innovation initiatives.

• Clearly and effectively present complex analyses.

• Develop NLP pipelines using PyTorch, Scikit-Learn, and Spacy.

• Create hybrid models to derive insights from various data sources.

• Operate within a Scrum-based Agile methodology.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related discipline.

• 4+ years of hands-on experience in the ML industry.

• Proven experience in developing transformer-based models and deploying them in scalable environments.

• Strong proficiency in Python.

• Expertise in machine and deep learning frameworks such as TensorFlow, PyTorch, Scikit-Learn, and Spacy.

• Familiarity with natural language processing and contemporary LLM-based techniques.

• Experience throughout the entire ML lifecycle, including data preprocessing, training, evaluation, and monitoring.

• Proficient in SQL and data extraction techniques.

• Willingness to participate in all team meetings.

• Strong problem-solving skills and a keen interest in Generative AI trends.

• Excellent communication and collaboration abilities.

🏝️ Benefits

• Flexible work schedule.

• Fully remote work options worldwide or hybrid arrangements from office hubs.

• Stable workload and reliable income.

• Performance reviews and clear career advancement paths.

• Access to a mentorship program.

• Personalized development plans.

• Opportunities for individual learning through the corporate library.

• Support for public speaking initiatives.

• Participation in company-wide tech and cultural events.

• Engagement in meaningful CSR initiatives.

• A supportive and adaptable work environment.

• Opportunities for both professional and personal growth.