Machine Learning Engineer - Remote Work | REF#297366

BairesDev; Colombia; Remote; COP 292,047,000 - 421,845,000; Full time

Benefits offered by this job

100% remote

USD compensation

Home office setup

Flexible hours

Parental leave

Mentorship & growth

Global team

Job summary

BairesDev is seeking a senior Machine Learning Engineer to design and deliver end-to-end ML, NLP, LLM, and agentic AI solutions. You will work with state-of-the-art models, optimize inference, and deploy at scale across Databricks, MLflow, and AWS, powering critical products and data-driven decisions.

You’ll collaborate with product, engineering, and data teams to translate business goals into measurable outcomes.

Qualifications

• End-to-end ML deployment experience
• Proficient in NLP/LLM and tokenization
• Hands-on ML models incl. training and evaluation
• Experience wiring LLMs to tools and APIs
• Production ML with Databricks/MLflow and AWS CI/CD

Responsibilities

• Co-define ML/NLP/AI solutions with stakeholders and measurable metrics.
• Build data pipelines and feature workflows with Python, PySpark, Databricks.
• Develop, train, evaluate, and maintain ML/NLP/LLM models incl. Transformers.
• Design agent workflows linking LLMs with tools, APIs and retrieval systems.
• Deploy, monitor, and retrain models on Databricks/MLflow and AWS; expose FastAPI services.

Skills

End-to-end ML development

NLP and LLM expertise

Python programming

Safety & observability

English proficiency

Tools

Databricks

MLflow

AWS

Python

PySpark

Job description

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Machine Learning Engineer at BairesDev

In this role, you'll design and deliver end-to-end ML, NLP, LLM, and agentic AI solutions that solve real business problems. Working with state-of-the-art models, you'll optimize inference and large-scale deployments, making LLMs and Transformers run reliably in production with high quality, strong performance, and controlled costs. The impact is direct: the solutions you design and operate power key products, handling large datasets and demanding requirements across Databricks, MLflow, and AWS environments.

What You'll Do

• Co-define ML, NLP, and agentic AI solutions with product, engineering, and data stakeholders, translating business objectives into measurable success metrics.
• Build data pipelines and feature engineering workflows for training, evaluation, batch scoring, and online inference using Python, PySpark and Databricks.
• Develop, train, evaluate, and maintain traditional ML models and NLP/LLM solutions including Transformers, embeddings, RAG, and structured outputs.
• Design and implement agent workflows connecting LLMs with tools, APIs, retrieval systems, and business rules, including safety checks and observability.
• Package, deploy, monitor, and retrain models on Databricks/MLflow and AWS, exposing reliable FastAPI services for realtime, batch, and async workloads.

What We Are Looking For

• 7+ years of experience delivering end-to-end machine learning, NLP, LLM, and agentic AI solutions from business problem definition to production deployment.
• Strong NLP, text intelligence, and LLM expertise including tokenization, embeddings, semantic search, RAG, structured outputs, function/tool calling, guardrails, and hallucination mitigation.
• Hands-on experience with traditional ML models including classification, regression, ranking, forecasting, segmentation, anomaly detection, and explainability.
• Experience designing agentic AI workflows integrating LLMs with tools, APIs, and retrieval systems, including multi-step reasoning, memory management, and human-in-the-loop review.
• Strong production ML/MLOps experience with Databricks/MLflow and AWS including model packaging, governance, CI/CD, monitoring, drift detection, and cost optimization.
• Advanced proficiency in English.

How we do make your work (and your life) easier:

• 100% remote work (from anywhere).
• Excellent compensation in USD or your local currency if preferred
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!