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Machine Learning Manager Jobs in Rochester, IN (NOW HIRING)

WC House Lead Production

Monon, IN · On-site

$17.25 - $23.50/hr

Although the house manager is responsible for only one or two houses, he or she still has a large ... This may include using a computer and fax machine. (General computer training will be provided if ...

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... machinery performance through vibration, noise, and operational observations Detect and report ... Effectively manage multiple assignments and priorities Required Skills: Electrical circuit ...

Ensure machinery and tools operate within specified parameters for optimal output. * Provide ... Lean and Six Sigma Black Belt Spans of Control Does this role manage Southwire team members: No ...

Ensure machinery and tools operate within specified parameters for optimal output. * Provide ... Lean and Six Sigma Black Belt Spans of Control Does this role manage Southwire team members: No ...

Outside Recovery Associate

Warsaw, IN · On-site

$50K - $65K/yr

Use standard office equipment, including telephones, copiers, fax machines, calculators, and ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

... management and/or the Security Department * Process/Order checks and all related products for ... machines, and branch vault * Engage in personal development activities such as online learning and ...

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Machine Learning Manager information

See Rochester, IN salary details

$47.4K

$76K

$109.7K

How much do machine learning manager jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning manager in Rochester, IN is $75,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $86,000.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

What are the key skills and qualifications needed to thrive as a Machine Learning Manager, and why are they important?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
WC House Lead Production

WC House Lead Production

Rose Acre Farms

Monon, IN • On-site

$17.25 - $23.50/hr

Full-time

Posted yesterday

New


Rose Acre Farms rating

6.3

Company rating: 6.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

273rd of 391 rated food and drinks producers


Job description

Description
POSITION DESCRIPTION: The role of the Production Lead at Rose Acre Farms is one that entails a wide variety of responsibilities. Although the house manager is responsible for only one or two houses, he or she still has a large amount of responsibility, as the house manager must ensure that all production, egg weight, and feed efficiency goals are met. Furthermore, he or she will monitor and track feed usage, layer mortality, egg weights and sizes, and finally constantly monitor the houses for any sign of a potential disease. Although the well-being of the birds is the first priority on the quartile manager's daily list, he or she will work with the house employees on problems with belts, egg jams, cleanliness, and manure pits. The Lead may be asked to assist the quartile manager in the evaluating and if necessary, reprimanding employees. All duties are to be performed in an exemplary and professional manner.
ESSENTIAL JOB FUNCTIONS:
  • Responsible for managing a set of chicken houses (includes production, feed, water, pits, mortality, and managing house staff.)
  • Responsible for working with quartile managers to ensure that the goals for the house are being met and that everything is running efficiently.
  • Responsible for filling in when employees miss, quit or take vacations.
  • Responsible for monitoring house workers to ensure that they are following procedure, completing their work, and are following Rose Acre policies.
  • Responsible for managing employees in his or her quartile, scheduling them, and assisting upper management in evaluating them.
  • Responsible for working with production managers to ensure goals are met.
  • Responsible for working with the Rose Acre Feed Efficiency Specialist to ensure that the correct feed ratio and ingredients are being utilized in the houses and that the birds are getting the proper nutrition for their age.
  • Responsible for reporting ANY problem in his or her quartile that is beyond normal duties to the quartile manager IMMEDIATELY.
  • Responsible for monitoring temperatures and continually checking AEI counter machines to ensure that all operations with the houses are running smoothly.
  • Responsible for filling out all necessary paperwork and ensuring that it is distributed and sent to the correct areas. This may include using a computer and fax machine. (General computer training will be provided if needed.)

QUALIFICATIONS AND SKILLS:
  • High school education is desired - previous experience in layer house operations, farming or grain operations, or general agricultural experience is highly desired.
  • Must be able to work with live animals and continually have their health and well-being at the top of the daily list. (All house workers must continually monitor three essential items - feed, water, and temperatures.)
  • Must be able to perform misc. management job functions - must be able to make quick and rational decisions in dealing with personnel, equipment, etc., and must be able to direct questions or problems that are above the quartile manager's jurisdiction to a higher manager. If a situation occurs where the house manager cannot make the decision, he or she must direct it to the quartile manager who in turn may direct it to the complex manager.
  • Must have excellent communication and people skills - must be able to motivate other house employees to fulfill their job to the best of their ability.
  • Must have a basic knowledge of electricity and its function in the layer houses.
  • Must be capable or be capable of learning how to perform maintenance on a variety of equipment - such as egg and feed conveying systems.
  • Must be able to work a flexible schedule, including weekends and holidays as needed at the plant.
  • Must be capable of treating ALL employees in the complex with respect and courtesy.
  • Must ensure that ALL Rose Acre Employee Handbook policies are followed, and MUST be capable of reprimanding any employee who violates Rose Acre Policy.
  • Must be able to follow all Rose Acre safety and biosecurity standards thoroughly, and MUST report ANY violation of these policies to the complex manager.
  • Ability to handle multiple tasks at once - the ability to deal with stressful situation.

WORK ENVIRONMENT:
  • Must possess the ability to work in an agricultural environment, indoors, outdoors, office, warehouse, processing, and farm production areas each varying in temperature, and other environment specific atmospheres.
  • Must be willing and able to work past the scheduled leave time to complete the job, if needed.
  • Must possess the ability to work in an open office setting.
  • Must maintain professionalism with coworkers.

ANIMAL WELFARE COMMITMENT:
  • Rose Acre Farms is fully committed to providing our animals with a safe and healthy environment, free from abuse and treated humanely in all aspects.
  • All team members are obligated by moral duty, Rose Acre Farms requirement (refer to Animal Abuse Policy in Rose Acre Farms Handbook), and legal obligation to uphold the strictest animal welfare structured environment and are obligated to report any incidents of abuse, neglect, or breach of biosecurity for the health and welfare of our animals.

NON-SMOKING WORKPLACE:
  • No smoking allowed in workplace, break areas, or on any company property.
  • No smoking in company provided vehicles.

Rose Acres is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic data, sexual orientation, gender identity or other legally protected status.
Disclaimer: Although this job description lists and identifies the primary duties of the listed position, it is not an exclusive list. As with all positions at Rose Acre Farms, the very nature and diversification of an egg production facility requires that all team members remain flexible to cover a wide variety of duties that may need covered.
The Information contained in this job description is not only to inform you of the requirements of this position but will also be used to evaluate your work performance. This will include assisting in a determination of whether you will be entitled to certain bonuses and/or raises, and whether or not performance related disciplinary action would be taken against you.

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