Senior AI/ML Engineer

Vacancy details

Colombia|Costa Rica|MexicoColombia|Costa Rica|Mexico

remote remote

Recruiter

Khrystyna Shuflat

Khrystyna Shuflat

Role overview

Svitla Systems Inc. is looking for a Senior AI/ML Engineer for a full-time position (40 hours per week) in Colombia, Costa Rica, Mexico. Our client is a composite AI platform that analyzes telemetry, identifies patterns and common causes, and prioritizes issues based on user behavior. It uses machine learning and Generative AI to provide contextual insights and recommendations, even when model confidence is low.

REQUIREMENTS

• Seven or more years of professional experience in Machine Learning, Data Science, or AI Engineering roles, with a track record of shipping systems to production; strong proficiency in Python and hands-on experience with ML/DL frameworks such as PyTorch, TensorFlow, and Scikit-learn; proven experience building Generative AI / LLM-based solutions including RAG architectures, prompt engineering, embeddings, and LLM orchestration frameworks (e.g., LangChain); hands-on experience with vector databases and semantic/hybrid search (OpenSearch, pgVector, Elasticsearch, or similar); experience designing and deploying end-to-end ML pipelines, including experiment tracking and model registry tools (e.g., MLFlow); practical experience with multi-agent AI architectures, structured output validation, and/or LLM evaluation frameworks; experience with at least one major cloud platform (AWS or Azure) and its AI/ML services (e.g., AWS Lambda, SageMaker, OpenSearch, or Azure OpenAI, Azure ML); experience with containerization (Docker); familiarity with orchestration (Kubernetes, ECS, EKS, or Fargate) is a plus; solid SQL skills and experience with relational or data-warehouse platforms (PostgreSQL, Snowflake, BigQuery, Redshift, or similar); experience building and exposing APIs for model serving (FastAPI or similar); proficiency with Git and collaborative development workflows; strong problem-solving, communication, and English-language skills, with the ability to work effectively with US-based, cross-time-zone teams; advanced degree (MSc/PhD) in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field; experience with Hugging Face Transformers, sentence-transformers, or spaCy; experience fine-tuning LLMs for specialized tasks (translation, classification, domain adaptation); experience with Computer Vision or audio/speech processing; experience with Databricks and the medallion (bronze/silver/gold) architecture; experience implementing observability/monitoring and automated model-retraining pipelines; background delivering AI solutions in an enterprise or regulated environment (martech, fintech, healthcare, etc.); experience working in a remote environment with team members across different time zones.

RESPONSIBILITIES

• Design, develop, and deploy end-to-end Machine Learning pipelines (training → registry → serving → monitoring) for production use cases; build and maintain Generative AI and LLM-based solutions, including RAG (Retrieval-Augmented Generation) architectures, prompt engineering, and embeddings pipelines; design and implement multi-agent AI systems for document processing, structured data extraction, entity resolution, and complex reasoning workflows; architect and maintain semantic search and retrieval systems using vector databases such as OpenSearch, pgVector, or similar; develop predictive ML models (classification, regression, customer value/lifetime prediction, bidding and optimization systems, etc.) grounded in solid feature engineering practices; fine-tune and evaluate LLMs, including dataset preparation, quality-metric definition, few-shot learning, and transfer-learning approaches; implement MLOps best practices: experiment tracking, model registry, CI/CD for ML, observability, monitoring, and drift detection; deploy and operate ML/AI workloads on cloud-native infrastructure (AWS and/or Azure), leveraging containerization and scalable serving patterns; collaborate with cross-functional teams — product, data, and engineering — to translate business problems into scalable, well-architected AI solutions; document architecture decisions, experiments, and results clearly for both technical and non-technical stakeholders; participate in code reviews, architecture discussions, and knowledge-sharing within the engineering team.

• We offer

• US and EU projects based on advanced technologies; competitive compensation based on skills and experience; regular performance appraisals to support your growth; comprehensive private medical insurance; Christmas Bonus in the amount of 50% of the monthly payment; bonuses for recommendations of new employees; bonuses for article writing, public talks, other activities; 15 vacation days, 10 holidays, 10 sick leaves; personalized learning program tailored to your interests and skill development; free tech webinars and meetups organized by Svitla; fun corporate online/offline celebrations and activities; well-established remote culture; awesome team, friendly and supportive community!

• Why join Svitla

• Svitla Systems is a global digital solutions company headquartered in the U.S. and operating across the Americas, Europe, Asia, and APAC. Since 2003, we have served a wide range of clients - from innovative start-ups to Fortune 500 companies. Our success is built on partnership. By integrating seamlessly with clients' teams, we create lasting collaborations that drive real results. We are strong advocates of workplace flexibility, remote culture, individual approach to professional and personal growth.

• Our global mission is to build a business that contributes to wellbeing of our partners, personnel, and their families, improves our communities, and makes a lasting difference in the world. Together, we are coding a brighter tomorrow - and living it.

• Join us!

• Vacancy details

• Colombia…Colombia

• …

• remote remote

• Recruiter

• Khrystyna Shuflat

• Khrystyna Shuflat

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