6 days ago Be among the first 25 applicants
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
Referrals increase your chances of interviewing at Provectus by 2x
#J-*****-Ljbffr

📌 Senior Ml Engineer (Genai) (Cali)
🏢 Provectus
📍 Cali