Senior Machine Learning Engineer

Há 5 dias

Nova Iguaçu, Rio de Janeiro, Brasil Ford Brasil Tempo inteiro

Job Summary

At Ford Motor Company, we are seeking a highly skilled Sr. Machine Learning Engineer to join our team. As a key member of our Electric Vehicle organization, you will be responsible for building scalable and robust ML data pipelines in the cloud to process large volumes of connected vehicle data.

Key Responsibilities

  • Develop and optimize ML algorithms working with data scientists and data engineers to deploy to production.
  • Use machine learning and statistical modeling techniques to develop and evaluate algorithms to improve product/system performance, quality, data management, and accuracy.
  • Train and re-train ML models and systems as required.
  • Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios.
  • Automate model deployment, training, and re-training, leveraging principles of agile methodology, CI/CD/CT, and MLOps.
  • Work closely with cloud architect, product manager, product owner, and developers to build and enhance MLOps platform in GCP.
  • Lead by example in the use of Paired Programming for cross-training, problem-solving, and speed to delivery.
  • Fulfill problem formulation and ML technique consulting requests in a timely manner.
  • Enable model management for model versioning and traceability.
  • Continuously optimize and enhance existing ML data solutions (pipelines, products, infrastructure) for best performance, high security, low vulnerability, low costs, and high reliability.
  • Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.
  • Continuously enhance your domain knowledge of connected vehicle data, connected services, and algorithms/models developed by data scientists within Ford.
  • Stay current on the latest ML engineering practices and contribute to the technical direction of the company while keeping a customer-centric approach.
  • Help innovate and standardize machine learning development practices.

Requirements

  • Master's degree or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a related field.
  • 5 years of professional experience in data engineering, data product development, and software product launches.
  • At least three of the following languages: Java, Python, Spark, Scala, SQL.
  • Developing Machine Learning algorithms working with Data Scientists, optimizing them, and deploying them to production.
  • Cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines.

Preferred Qualifications

  • Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a related field.
  • 3 years of experience mentoring engineers and leading large projects.
  • Demonstrated contributions and expertise in two or more of the following domains: regression algorithms, time series analysis, Gaussian processes, neural networks, uncertainty quantification, and physics-informed neural networks.
  • Demonstrated ability to document complex systems.
  • Demonstrated commitment to quality and project timing.
  • Committed code to improve open-source data/software engineering projects.
  • Passion to experiment/implement state-of-the-art ML engineering methods/techniques.
  • Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.
  • Experience implementing methods for automation of all parts of the pipeline to minimize labor in development and production.
  • Ability to simplify, clearly communicate complex data/software ideas/problems, and work with cross-functional teams and all levels of management independently.
  • Strong drive for results and ability to multi-task and work independently.

What We Offer

  • Immediate medical, dental, vision, and prescription drug coverage.
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care, and more.
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more.
  • Vehicle discount program for employees and family members and management leases.
  • Established and active employee resource groups.
  • Paid time off for individual and team community service.
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day.
  • Paid time off and the option to purchase additional vacation time.

Salary and Benefits

This position is a range of salary grades 6-8.

Visa sponsorship is available for this position.

Candidates for positions with Ford Motor Company must be legally authorized to work in the United States.

We are an Equal Opportunity Employer committed to a culturally diverse workforce.

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