Sr. Engineer, AI Platform Engineering

Job Summary: The Sr, Machine Learning Engineer will play a critical role in in the design, development, and deployment of sophisticated machine learning models and solutions within our Petco Data Science. This role requires expertise in machine learning, a proven track record of successful project implementations The Senior Machine Learning Engineer will collaborate closely with cross-functional teams to drive innovation and contribute to the strategic vision of the organization.

- Oversee end-to-end design, development, and optimization of complex machine learning models and algorithms.

- Apply advanced techniques and methodologies to solve challenging business problems.

- Stay at the forefront of machine learning research and emerging technologies.

- Responsible for research initiatives, experimenting with cutting-edge techniques to drive innovation.

- Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to integrate machine learning solutions into complex systems.

- Work closely with stakeholders to understand business requirements and translate them into actionable machine learning projects.

- May provide mentorship and guidance to junior machine learning engineers.

- Conduct training sessions to share knowledge and best practices within the team.

- Design and develop end-to-end machine learning pipelines, emphasizing scalability, reliability, and performance.

- Implement MLOps best practices for dynamic model training, testing, deploying and monitoring.

- Stay up-to-date with the latest advancements in ML engineering, generative AI, cloud computing and related technologies.

- Maintain comprehensive documentation of models, algorithms, and methodologies.

- Foster a culture of knowledge sharing and contribute to internal knowledge repositories.

- Identify opportunities for process improvement and contribute to the enhancement of machine learning workflows and methodologies.

- Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

- Extensive experience (5+ years) in developing and deploying machine learning models in complex, real-world applications.

- Profound understanding of machine learning algorithms, deep learning, and statistical modeling.

- Advanced programming skills in languages such as Python, Java, or R.

- Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and related libraries.

- Demonstrated leadership and mentorship capabilities.

- Excellent problem-solving, analytical, and communication skills.

- Proven ability to lead and execute machine learning projects from conception to deployment.

- Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud).

- Familiarity with big data technologies and distributed computing.

- Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).

- Strong understanding of software development practices and methodologies

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Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

The pay ranges outlined below are presented in accordance with state-specific regulations. These ranges may differ in other areas and could be subject to variation based on regulatory minimum wage requirements. Actual pay rates will depend on factors such as position, location, level of experience, and applicable state or local minimum wage laws.

If the regulatory minimum wage exceeds the minimum indicated in the pay range below, the regulatory minimum wage will be the minimum rate applied.

Hourly or Salary Range will be reflected above. For a more detailed overview of Petco Total Rewards, including health and financial benefits, 401K, incentives, and PTO - see https://careers.petco.com/us/en/key-benefits

Petco Animal Supplies, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or any other protected classification.

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