Back to Remote jobs  >   AI / ML
Senior ML Engineer @Provectus
AI / ML
Salary unspecified
Remote Location
Job Type full-time
Posted 3d ago

[Hiring] Senior ML Engineer @Provectus

3d ago - Provectus is hiring a remote Senior ML Engineer. πŸ’Έ Salary: unspecified πŸ“Location: Worldwide

Role Description

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.

Qualifications

  • 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;
  • 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;
  • 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;
  • 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;
  • 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.

Requirements

  • 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.

Benefits

  • 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.
Before You Apply
️
worldwide Be aware of the location restriction for this remote position: Worldwide
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Back to Remote jobs  >   AI / ML
Senior ML Engineer @Provectus
AI / ML
Salary unspecified
Remote Location
Job Type full-time
Posted 3d ago
Apply for this position
Did not apply βœ“
Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
Offer Declined βœ“
Unlock 152,720 Remote Jobs
️
worldwide Be aware of the location restriction for this remote position: Worldwide
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Apply for this position
Did not apply βœ“
Applied βœ“
Sent Follow-Up βœ“
Interview Scheduled βœ“
Interview Completed βœ“
Offer Accepted βœ“
Offer Declined βœ“
Unlock 152,720 Remote Jobs