ML Engineer - Full Remote

Job Location: Spain, Colombia, California (USA)

Job Type: Full Remote

About Provectus

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

As an ML Engineer, you'll be provided with all opportunities for development and growth.

Let's work together to build a better future for everyone!

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: supervised, unsupervised, and reinforcement learning;
• Model Development: feature engineering, model training, evaluation, hyperparameter tuning, and validation;
• ML Frameworks: classical ML libraries, TensorFlow, PyTorch, or similar frameworks;
• Deep Learning: CNNs, RNNs, Transformers.

LLMs and Generative AI

• LLM Applications: Experience building production LLM-based applications;
• Prompt Engineering: Ability to design effective prompts and chain-of-thought strategies;
• RAG Systems: Experience building retrieval-augmented generation architectures;
• Vector Databases: Familiarity with embedding models and vector search;
• LLM Evaluation: Experience with evaluation metrics and techniques for LLM outputs.

Data and Programming

• Python: Advanced proficiency in Python for ML applications;
• Data Manipulation: Expert with pandas, numpy, and data processing libraries;
• SQL: Ability to work with structured data and databases;
• Data Pipelines: Experience building ETL/ELT pipelines;
• Big Data: Experience with Spark or similar distributed computing frameworks.

MLOps and Production

• Model Deployment: Experience deploying ML models to production environments;
• Containerization: Proficiency with Docker and container orchestration;
• CI/CD: Understanding of continuous integration and deployment for ML;
• Monitoring: Experience with model monitoring and observability;
• Experiment Tracking: Familiarity with MLflow, Weights and Biases, or similar tools.

Cloud and Infrastructure

• AWS Services: Strong experience with AWS ML services (SageMaker, Lambda, etc.);
• GCP Expertise: Advanced knowledge of GCP ML and data services;
• Cloud Architecture: Understanding of cloud-native ML architectures;
• Infrastructure as Code: Experience with Terraform, CloudFormation, or similar.

Will be a Plus

• Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda);
• Practical experience with deep learning models;
• Experience with taxonomies or ontologies;
• Practical experience with machine learning pipelines to orchestrate complicated workflows;
• Practical experience with Spark/Dask, Great Expectations.

What We Offer

• Long-term B2B collaboration;
• Fully remote setup;
• A budget for your medical insurance;
• Paid sick leave, vacation, public holidays;
• Continuous learning support, including unlimited AWS certification sponsorship.

Interview Stages

• Recruitment Interview;
• Tech interview;
• HR Interview;
• HM Interview.

This offer from "Provectus" has been enriched by Jobgether.com and got a 81% flex score.