Cluster Manager for ABB's Robotics business in Eastern Europe. Driving growth initiatives and leading teams across multiple countries in a customer - focused environment.
About the role
- Director of Data Engineering leading AI and machine learning initiatives for innovative vertical farming company. Transforming agriculture through automation and advanced analytics in strawberry production.
Responsibilities
- Oversee Oishii’s current machine learning approach and strategy and continue building a world class AI pipeline.
- Specific focus on harvesting automation edge models and plant yield forecasting
- Deliver amazing data products, developing creative solutions while leveraging our extensive data lake and data collection capabilities
- Build machine learning infrastructure and models (e.g. recommendation engines, statistical models, NLP engines) that drive activity on our platform, scale our business, and enhance the farm and user experiences.
- Work closely with business and technical teams to gather, analyze, and understand business requirements, translate activities and objectives into analytical models and algorithm codes for application in production scale environment
- Perform analysis on existing data and suggest and implement new potential data sets (leveraging our automated collection) to identify and develop innovative advanced analytics opportunities
- Manage, mentor, and develop a data and machine learning team
- Provide technical guidance and mentorship, train and mentor junior colleagues on other teams
- Work with multi-functional teams to access data elements, understand the data being analyzed, and identify improvement opportunities for data ingestion process
- Facilitate and identify repeatable testing strategies for measuring results produced by analytics models
- Communicate complex machine learning ideas, designs, and processes to both technical and non-technical stakeholders
- Provide vision and solutions regarding data storage and optimization
- Own all phases of the data lifecycle (exploratory data analysis, model development, model productionizing, rollout, and evaluation)
Requirements
- Bachelor’s or Master’s Degree in Computer Science, Data Science, Analytical Sciences (biology, ecology, etc.), Statistics, or related field.
- 7+ years experience in a similar engineering leadership role, with at least 3 years leading a team hands-on.
- 3+ years of experience in data science, data engineering, machine learning, and API-based solution architecture.
- Experience with Tensorflow, pytorch, ONXX a plus!
- 2+ years of hands-on experience in architecting, developing and implementing advanced analytics models and machine learning algorithms for scalable production environments.
- Highly proficient skills in statistical languages (e.g. Python/R) and querying languages (e.g. SQL).
- Demonstrated track record of leading the delivery of successful and innovative machine learning products, working independently and with key stakeholders.
- Expert level understanding of core ML/Statistics/CS principles.
- Experience with AWS preferred.
- Front end web knowledge is a plus.
- Startup experience is a major plus!
Benefits
- Competitive salary and equity package
- Medical/Dental/Vision Insurance
- 100% Employer Paid Life Insurance + Long Term Disability Insurance
- EAP Access
- Pet Insurance
- 401(k) Retirement Plan (Roth & Traditional)
- Paid Parental leave
- Office social events including happy hours, parties, and community service projects
- Employee activity groups for basketball players, Yoga Enthusiasts, runners…
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