Machine Learning Engineer

Compunnel

$100K — $140K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Science or a related field
  • 5+ years of experience in machine learning or data science
  • Strong programming skills in Python or R
  • Experience with model deployment frameworks such as MLflow or similar
  • Excellent communication skills to liaise with product and business teams

Responsibilities

  • Execute data wrangling activities to prepare datasets for analysis
  • Conduct ML experiments and build baseline models to address business needs
  • Fine-tune models for enhanced performance and accuracy
  • Test models against business acceptance criteria
  • Identify optimization opportunities based on test results
  • Document artifacts for clear communication with stakeholders
  • Collaborate with data scientists for model deployment
  • Assist product teams in planning and executing product releases
  • Set OKRs and provide feedback to team members
  • Establish metrics to validate model performance and translate findings for product teams
  • Monitor trends and prototype solutions for feasibility assessments

Benefits

  • Flexible work hours to accommodate a work-life balance
  • Opportunity for professional development and skills training
  • Collaborative work environment with cross-functional teams
  • Exposure to cutting-edge technologies in machine learning
  • Participation in industry conferences and networking events
Full Job Description
Job Title: Lead I JOB SUMMARY Design and develop ML solutions, that will enable intelligent experiences and provide value. Collaboratively work with business, technology, and product teams to understand the product objectives and formulate the ML problem, under minimal guidance from Lead II Key Responsibilities 1. Executes relevant data wrangling activities related to the problem 2. Conduct ML experiments to understand feasibility; building baseline models to solve the business problem 3. Fine tune the baseline model for optimum performance 4. Test Models internally per acceptance criteria from the business 5. Identify areas and techniques to optimize the model based on test results 6. Document relevant artefacts for communicating with the business 7. Work with data scientists to deploy the models. 8. Work with product teams in planning and execution of new product releases. 9. Set OKRs and success steps for self/ team and provide feedback of goals to team members 10. Identify metrics for validating the models and communicate the same in business terms to the product teams. 11. Keep track of the trends and do rapid prototyping to understand the feasibility of utilizing in existing solutions

Similar Jobs

More Jobs at Compunnel

More Information Technology Jobs

Find similar Machine Learning Engineer jobs: