Job description

Position Summary This role will be focused on commercial sustainment and improvement for both current and future field systems. The Senior Vision Software Engineer will actively communicate with stakeholders in the field and the Vision Discipline Lead to monitor / improve production code deployments and collaborate with the broader team to develop new tools that leverage our existing codebase and technology to create innovative products. They will serve as a key resource for new product introduction transition from R&D to commercial. Key Job Responsibilities • Integrate commercial data with existing tooling to develop innovative solutions to company assigned project goals. • Collaborate with cross-functional teams to build proprietary tools. • Drive the development of new products by leveraging commercial data to meet market needs and company objectives. • Ensure the quality and accuracy of data and analyses through rigorous testing and validation processes. • Stay current with the latest advancements in machine learning, vision software and related fields to continuously improve methodologies and approaches. • Communicate complex data insights and recommendations to non-technical stakeholders effectively. • Occasional travel to customer sites for troubleshooting ( machines are located in hatchery environments ) Key Competencies & Skills • Experience in a commercial or industrial setting, particularly biotechnology. • Experience working with biological data. • Experience with computer vision. • Knowledge of regulatory requirements and data privacy considerations in handling biological and commercial data. • Ability to work in a fast-paced environment and adapt to changing priorities. • Solid understanding of machine learning tools and how to implement them in a software product. • Excellent problem-solving skills and ability to think critically and creatively. • Excellent communication skills, both written and verbal. • A high degree of integrity, ethics, and judgment. Education and Experience Requirements • Bachelor’s degree in computer science, Data Science or a related field. • 8 - 10 years of experience working in software development, or related field. • Proficiency in Python and C# for software development. • Proficiency in SQL and experience with database management systems (e.g., MongoDB, PostgreSQL, MSSQL Server). • Experience working with cloud platforms such as Azure for container deployment/ orchestration and software versioning. Working Conditions Work is performed inside a flex space building consisting of offices, open desk space, laboratory, machine shop, and a manufacturing floor. Level of noise is usually quiet in the office environment and temperature controlled. Noise levels are elevated in the warehouse space where temperatures can vary depending on the outside elements and weather. Occasional travel will be required to customer sites (hatcheries). All the above duties and responsibilities are essential job functions for which reasonable accommodation will be made. All job requirements listed indicate the minimum level of knowledge, skills, and/or ability deemed necessary to perform the job proficiently. This job description is not to be construed as an exhaustive statement of duties and responsibilities or requirements. Employees may be required to perform other job-related duties as requested by their supervisor. This document does not create an employment contract, implied or otherwise, other than an "at will" relationship.

Requirements

Must-haves

Key Job Responsibilities
Integrate commercial data with existing tooling to develop innovative solutions to company assigned project goals.
Collaborate with cross-functional teams to build proprietary tools.
Drive the development of new products by leveraging commercial data to meet market needs and company objectives.
Ensure the quality and accuracy of data and analyses through rigorous testing and validation processes.
Stay current with the latest advancements in machine learning, vision software and related fields to continuously improve methodologies and approaches.
Communicate complex data insights and recommendations to non-technical stakeholders effectively.
Occasional travel to customer sites for troubleshooting ( machines are located in hatchery environments )
Key Competencies & Skills
Experience in a commercial or industrial setting, particularly biotechnology.
Experience working with biological data.
Experience with computer vision.
Knowledge of regulatory requirements and data privacy considerations in handling biological and commercial data.
Ability to work in a fast-paced environment and adapt to changing priorities.
Solid understanding of machine learning tools and how to implement them in a software product.
Excellent problem-solving skills and ability to think critically and creatively.
Excellent communication skills, both written and verbal.
A high degree of integrity, ethics, and judgment.
Education and Experience Requirements
Bachelor’s degree in computer science, Data Science or a related field.
8 - 10 years of experience working in software development, or related field.
Proficiency in Python and C# for software development.
Proficiency in SQL and experience with database management systems (e.g., MongoDB, PostgreSQL, MSSQL Server).
Experience working with cloud platforms such as Azure for container deployment/ orchestration and software versioning.

Nice-to-haves

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Application prep

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Keywords to mirror

machine learningpythonsqlazure

Platform: adp-workforce-now
Effort: medium

Benefits

Benefits detected in the listing.

Vision