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As a Senior ML Engineer at Provectus, you'll be responsible for designing, developing, and deploying production-grade machine learning solutions for our clients. You will work on complex ML problems, mentor junior engineers, and contribute to building ML accelerators and best practices.

Core Responsibilities

- Technical Delivery (60%): Design and implement end-to-end ML solutions from experimentation to production
- Build scalable ML pipelines and infrastructure
- Optimize model performance, efficiency, and reliability
- Write clean, maintainable, production-quality code
- Conduct rigorous experimentation and model evaluation
- Troubleshoot and resolve complex technical challenges
- Collaboration and Contribution (25%): Mentor junior and mid-level ML engineers
- Conduct code reviews and provide constructive feedback
- Share knowledge through documentation, presentations, and workshops
- Collaborate with cross-functional teams (DevOps, Data Engineering, SAs)
- Contribute to internal ML practice development
- Innovation and Growth (15%): Stay current with ML research and emerging technologies
- Propose improvements to existing solutions and processes
- Contribute to the development of reusable ML accelerators
- Participate in technical discussions and architectural decisions

Requirements

- Machine Learning Core: ML Fundamentals, model development, ML frameworks, deep learning




- LLMs and Generative AI: experience building production LLM-based applications, prompt engineering, RAG systems, vector databases, LLM evaluation
- Data and Programming: Python, pandas, numpy, SQL, data pipelines, Spark or similar
- MLOps and Production: model deployment, containerization, CI/CD, monitoring, experiment tracking

Cloud and Infrastructure

- AWS services, GCP expertise, cloud-native architectures, IaC

Will be a plus

- Practical experience with cloud platforms (AWS stack preferred)
- Practical experience with deep learning models
- Experience with taxonomies or ontologies
- Experience with machine learning pipelines to orchestrate complicated workflows
- Experience with Spark/Dask, Great Expectations

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Seniority Level

Not Applicable

Employment Type

Full-time

Job Function

Engineering and Information Technology

Industries

Transportation, Logistics, Supply Chain and Storage

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📌 Senior ML Engineer (Cali)
🏢 Provectus
📍 Cali