Vector Databases Jobs in Mesa, AZ (NOW HIRING)

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At Freeport-McMoRan, we are committed to providing an employment package that recognizes excellence, encourages safe production and a culture supported by our core values. Here, you’ll find a collaborative environment where safety is a top priority, all opinions are valued, and people are empowered to grow in their career.

Our global headquarters is in Phoenix, Arizona. Several hundred employees support global operations in finance, human resources, information technology, planning and more from the main office, satellite offices or online. Employees working on a flexible schedule collaborate online and in-person at our Collaboration Hub at the Cotton Center in Phoenix. The Collaboration Hub provides an open, flexible workspace for individuals and teams to come together for various business needs. Amenities at the Hub include a working café, phone booths and meeting rooms with technology tools for virtual and in-person collaboration.

Phoenix is the capital of the Grand Canyon State and enjoys mostly bright skies throughout the year. It is the perfect place if you enjoy the outdoors, love sports, concerts and other big city amenities or technology. There are great neighborhoods around Phoenix, with easy access to a major city, nature, the arts and many more amenities.

As the Data and AI Engineer II, you will serve as a project leader and independent contributor on a fast-growing Data Engineering team focused on analytics-driven mining. Your expertise in data and software engineering will enable the organization to build and deploy data- and AI-driven solutions to production while collaborating with mining operations, subject matter experts, data scientists, and software engineers. You will champion DataOps and agile practices to drive value across projects.

• Lead technical work within cross-functional, geographically distributed agile teams; design, develop, review, and maintain real-time and bulk data pipelines, feature stores, and vector stores; ensure adherence to design patterns; develop data lineage and data dictionary documentation; and apply DataOps best practices.
• Provide thought leadership in problem solving, challenge paradigms constructively, solicit input, and participate in R&D initiatives.
• Utilize Snowflake, Azure, and DevOps/DataOps/MLOps practices to deliver enterprise-quality Python and SQL solutions and identify optimization opportunities.
• Independently pursue training and research emerging technologies for departmental application.
• Perform other duties as requested.

• Bachelor’s degree in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and five (5) years of relevant work experience
  OR
  Master’s in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and three (3) years of relevant work experience
  OR
  Ph.D. in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and one (1) year of relevant work experience
• Strong experience in at least three areas:
• Knowledgeable Practitioner of SQL development with experience designing high quality, production SQL codebases
• Knowledgeable Practitioner of Python development with experience designing high quality, production Python codebases
• Knowledgeable Practitioner in data engineering, software engineering, and ML systems architecture
• Hands‑on experience building production data workloads in Snowflake, including warehouse and schema design, with awareness of the performance and cost implications of design choices
• Knowledgeable Practitioner of data modeling.
• Experience applying software development best practices in data engineering projects using GitHub and GitHub Actions, including Version Control, P.R. Based Development, Schema Change Control, CI/CD, Deployment Automation, Test Driven Development/Test Automation, Shift left on Security, Loosely Coupled Architectures, Monitoring, Proactive Notifications using Python and SQL
• Experience delivering machine learning or generative AI solutions to production, including model or LLM integration, evaluation, and monitoring
• Data science experience wrangling data, model selection, model training, model validation, Operational Readiness Evaluator and Model Development and Assessment Framework, and deployment at scale

• Working knowledge of Azure Stream Architectures, dbt on Snowflake, Schema Change tools, Data Dictionary tools, Azure Machine Learning Environment, GIS Data
• Working knowledge of generative AI tooling, LLM APIs, prompt design, vector databases, and RAG patterns, and of MLOps practices for model deployment and monitoring
• Working knowledge of Software Engineering and Object Orient Programming Principles
• Working knowledge of Snowflake-native capabilities such as Snowpark, Streams and Tasks, Dynamic Tables, and Cortex AI
• Working knowledge of Distributed Parallel Processing Environments such as Spark
• Working knowledge of problem solving/root cause analysis on Production workloads
• Working knowledge of Agile, Scrum, and Kanban
• Working knowledge of workflow orchestration using tools such as Airflow, Prefect, Dagster, or similar tooling
• Working knowledge of GitHub and GitHub Actions for source control and CI/CD, or comparable tooling
• Experience with containerization tools such as Docker
• Strong verbal and written communication skills in English language

The estimated annual pay range for this role is currently$112,000-$160,000. This range reflects base salary only and does not include bonus payments, benefits or retirement contributions. Actual base pay is determined by experience, qualifications, skills and other job-related factors. This role is eligible for additional incentive compensation considerations based on company and individual performance. Additionally, this position is currently eligible for annual long-term incentive consideration. Long-term incentives are contingent upon authorized approval under the terms and conditions of the Company's plan and award agreements. More details will be shared during the hiring process.

• Affordable medical, dental and vision benefits
• Company-paid life and disability insurance
• 401(k) plan with employer contribution/match
• Paid time off, paid sick time, holiday pay, parental leave
• Tuition assistance
• Employee Assistance Program
• Discounted insurance plans for pet, auto, home and vehicle
• Internal progression opportunities