Arkestro is a rapidly-growing early-stage startup that is transforming the way every company in the world does Procurement. Our platform leverages state-of-the-art machine learning methodologies, combined with game theory and behavioral science, to enable top global enterprises to manage their spend. By optimizing transactions and providing deep insight into spend data at a massive scale, our customers are able to mitigate supply chain risk, increase efficiency, and achieve best-in-class cost savings.
Join Arkestro on our journey to revolutionize procurement! Although we are a small startup, we have big dreams and potential. Our customers are some of the most successful and recognized large enterprise organizations in North America. We are seeking passionate individuals to work with our talented team to make an impact on our customer’s lives. If you are a creative problem solver looking for a challenge, or just want to shake up the procurement world, apply now! See Arkestro in action at arkestro.com.As our Data/ML Engineer focused on productionization, you'll work closely with our Data Science team to transform validated proofs of concept into scalable, production-ready machine learning and data applications.
You'll be the key link between innovative ideas and their practical implementation, ensuring our cutting-edge solutions can be deployed efficiently and maintain their effectiveness at scale.
Responsibilities
- Collaborate with Data Scientists to understand their prototypes and translate them into production-grade code
- Design and implement scalable data pipelines to support machine learning models in production
- Build on the data motion infrastructure and MLOps/Deployment infrastructure maintained by data engineer colleagues
- Develop and maintain MLOps infrastructure to streamline model deployment and monitoring
- Optimize data transformations for performance and reliability
- Implement best practices in data security, quality, and governance throughout the productionization process
- Contribute to the strategic roadmap for data and model infrastructure
- Continuously improve our processes for moving from prototype to production
- Communicate technical concepts and project statuses to both technical and non-technical stakeholders
Necessary Qualifications
- Strong software engineering skills, particularly in Python
- Experience with MLOps tools and best practices
- Familiarity with cloud platforms (preferably AWS) and data warehousing solutions (e.g., Snowflake)
- Knowledge of data pipeline tools and ETL processes
- Understanding of machine learning concepts and their practical applications
- Experience with version control and CI/CD practices
- Excellent problem-solving and analytical skills
Ideal Qualifications
- Experience with dbt for data transformations
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes)
- Knowledge of procurement and/or supply chain data models
- Prior experience in enterprise software and startups
- Familiarity with Ruby
If you're passionate about turning innovative ideas into scalable solutions and want to make a significant impact in the procurement space, we'd love to hear from you. Join us in revolutionizing how companies manage their spend and supply chains!Pay Range$160,000 - $190,000USDArkestro is committed to providing our employees with a benefits package designed to give you the flexibility you need to ensure a healthy life/work balance. Arkestro offers our employees great benefits and perks, including, but not limited to:
- Competitive salary and startup equity
- Medical insurance covered up to 100%
- Dental and Vision Insurance
- Generous 401K matching
- Unlimited PTO
- We are highly supportive of flexible work hours
- We are a remote-first team, but we like to get together for team building, design sprints, and customer visits
- A one time allowance of $1,500 for home office supplies
- Annual budget of $1,000 for learning and professional development
- Diverse, inclusive, highly collaborative, and vibrant culture
Arkestro is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
Disclaimer
Please note this job description may not be inclusive of all assigned duties, responsibilities, or aspects of the job described and that additional tasks may be assigned to the employee from time to time; or the scope of the job may change as necessitated by business demands. Arkestro reserves the right to change duties, responsibilities and activities at any time with or without notice.
