Job description
Freeport-McMoRan is a leading international mining company with headquarters in Phoenix, Arizona. We operate large, long-lived, geographically diverse assets with significant proven and probable reserves of copper, gold, and molybdenum. The company has a dynamic portfolio of operating, expansion and growth projects in the copper industry. Freeport-McMoRan is one of the world’s largest publicly traded copper producers, the world’s largest producer of molybdenum and a significant gold producer. We have a long and successful history of conducting our business in a safe, highly efficient and socially-responsible manner.
We have the assets, the talent, the drive and the financial strength to provide attractive and rewarding careers of our employees. We encourage you to take the time to explore the opportunity to advance your career at Freeport-McMoRan.
Please note: This position has the possibility to work remotely up to 100% of the time. The position will require occasional travel to the Phoenix corporate offices and/or site locations . This position may be performed anywhere in the U.S. except California, Connecticut, New Hampshire, Massachusetts, Michigan, Illinois, Kentucky and New York. Additional states may be excluded from remote work based on business factors. Should the positions shift to in-office work in the future, the company will offer relocation benefits at that time should the position meet the established eligibility for these benefits.
Description
You will be a leader on a fast-growing team pursuing a vision of analytics-driven mining at Freeport. Your expertise in software engineering and machine learning will enable and empower our data science team to build and deploy complex models and software systems to production. At Freeport we understand that our models do not reach their full potential until they become solutions consumable by the enterprise. You will work in close collaboration with mining operations, subject matter experts, data scientists, and software engineers to not only develop advanced AI and ML solutions but deploy and automate those solutions in production environments. You will be a champion of MLOps, DevOps, and agile practices; leading project teams and mentoring junior team members.
- Leadership: Develop and Lead a team of ML Engineers, DevOps Engineers, and Platform administrators in collaboration with Data Scientists to test and scale algorithms and industrialize the solutions at scale. Ensure team delivers on time by defining clear architectural strategies and principles, maintaining a roadmap for execution, and actively secure its implementation through the scrum process.
- Architecture: Influence, develop, and sustain large-scale analytics architecture required for ML projects. Establish software architecture and software design patterns to write scalable, maintainable, well-designed code. Research and evaluate tools in Parallel Compute, Edge AI, Data Science Model Training, and Service Oriented Model Inference aligning with Enterprise solution and security strategies, including recommending and testing annual upgrade paths for existing frameworks.
- Agile Project Work: Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, DevOps engineers, designers, product managers, technical delivery teams, and others to continuously innovate AI and MLOps solutions.
- Team Development/Coaching: Act as a positive coach/mentor for broader organization to develop stronger understanding of software architecture and software design patterns that create scalable, maintainable, well-designed analytics solutions. Acts as a facilitator of complex technical topics that require cross-functional consultation.
- Perform other duties as requested.
Qualifications
MInimum Requirements:
- Bachelor’s degree in a technical engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and seven (7) years of relevant work experience; OR
- Master’s degree in a technical engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and five (5) years of relevant work experience; OR
- Ph.D. in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and two (2) years of relevant work experience AND
- Strong experience in at least two areas:
- Expert practitioner of Python development with experience designing high quality, production Python codebases
- Expert in software and ML systems architecture
- Experience applying software development best practices into machine learning projects, including DevOps CI/CD, Release Management, and Test Driven Development using Python and SQL
- Data science experience wrangling data, model selection, model training, modeling validation, e.g., Operational Readiness Evaluator and Model Development and Assessment Framework, and deployment at scale
- Experience with Agile and DevOps software development principles/methodologies, keep team focus on deliver business value
Preferred Qualifications:
- Experience with Edge Analytics, embedded systems, or computer vision.
- Experience with Databricks and Azure cloud suite with emphasis on ML tools.
- Experience working in Data Architecture, engineering and ETL teams, managing Design, Implementation of projects that utilize big data, advanced analytics and machine learning technologies.
- Experience influencing and building mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences.
- Strong verbal and written skills in English language
Criteria/Conditions:
- Location requires mobility in an office environment; each floor is accessible by elevator
- Occasionally work will be performed in a mine, outdoor or manufacturing plant setting
- Must be able to frequently sit, stand and walk
- Must be able to frequently lift and carry up to 10 pounds
- Must be able to work in a potentially stressful environment
- Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hart hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required.
- Freeport-McMoRan promotes a drug/alcohol-free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as allowed by applicable state laws
At Freeport, we are committed to providing an employment package that recognizes excellence, rewards value and impact, and encourages safe production. Benefits and compensation are foundational elements of this package, along with career development opportunities, job progression and a culture supported by our core values, among others. Learn more at: FCX Jobs - Working Here
Benefits:
We provide an industry-leading benefits package with some of the lowest cost to employees – offering health, wellness, life insurance, paid time off, retirement savings and more. These benefits are available to you and your dependents starting day one. Our comprehensive benefits program is important to how we support the health and wellness of employees and their families. For further benefits information please click here: Benefits Details
Compensation:
The estimated annual pay range for this role is currently $118,000-$165,000. 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. More details will be shared during the hiring process.
Safety / Work Conditions:
Candidates will be required to participate in a post-offer, pre-employment medical examination for the following positions which may have essential job duties that can impact both their own safety and the safety of others:
- Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
- Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose “motor vehicles” includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel).
Equal Opportunity Employer
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