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Machine Learning Flexible Hours Jobs in Indiana (NOW HIRING)

Data Engineer

New Albany, IN ยท On-site +1

$105K - $127K/yr

If you want to know more about Big Data, artificial intelligence or machine learning and how they ... We also offer a language learning program. * We are flexible! We have flexible hours and intensive ...

If you want to know more about Big Data, artificial intelligence or machine learning and how they ... We also offer a language learning program. * We are flexible! We have flexible hours and intensive ...

Data Architect

Anderson, IN ยท On-site +1

$55.25 - $71/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they ... We also offer a language learning program. * We are flexible! We have flexible hours and intensive ...

This Temp-to-Hire opportunity pays $22-$30 an hour. Ready to dive into the world of machine learning? Perks & Benefits * Weekly paychecks * Direct Deposit or Cash Card pay options * Medical / Dental ...

Machine Operator

Fort Wayne, IN

$16.75 - $20/hr

As a Machine Operator, you will be responsible for ensuring that our machines are running ... flexible hours and overtime as needed - Plastics industry experience a plus

Machine Operator

Fort Wayne, IN ยท On-site

$16.75 - $20/hr

As a Machine Operator, you will be responsible for ensuring that our machines are running ... flexible hours and overtime as needed - Plastics industry experience a plus

Machine Operator

Fort Wayne, IN ยท On-site

$16.75 - $20/hr

As a Machine Operator, you will be responsible for ensuring that our machines are running ... flexible hours and overtime as needed - Plastics industry experience a plus

If you move like a fish in water between servers and virtual machines, your place is here! If you ... We also offer a language learning program. * We are flexible! We have flexible hours and intensive ...

Showing results 41-60

Machine Learning Flexible Hours information

What does a machine learning job with flexible hours involve?

A machine learning job with flexible hours typically allows professionals to set their own work schedules instead of adhering to a strict 9-to-5 routine. These roles still require expertise in data analysis, algorithm development, and model training, but provide the freedom to work remotely or during non-traditional hours. Flexible arrangements are common in tech companies and startups, enabling better work-life balance while meeting project deadlines and collaborating with teams virtually.

What are the key skills and qualifications needed to thrive as a machine learning engineer with flexible hours?

To thrive as a Machine Learning Engineer with flexible hours, you need a solid background in computer science, statistics, and mathematics, often supported by a relevant degree and experience in developing machine learning models. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as relevant certifications, is highly valuable. Strong problem-solving skills, self-motivation, and effective communication help you excel when working independently and collaborating remotely. These skills are crucial for delivering impactful solutions, maintaining productivity, and ensuring successful project outcomes in a flexible work environment.

How do flexible hours impact collaboration and project delivery in a machine learning role?

In a Machine Learning role with flexible hours, collaboration is typically managed through asynchronous communication tools and scheduled meetings to ensure team alignment. While this flexibility allows for better work-life balance and can boost productivity, it also requires clear communication and proactive planning to meet project deadlines. Team members often coordinate their core working hours for critical discussions or decision-making, and use shared platforms to track progress and share updates. Adapting to this structure can be a challenge at first, but it often leads to a more autonomous and motivated team environment.

What is the difference between Machine Learning Flexible Hours vs Data Scientist Flexible Hours?

AspectMachine Learning Flexible HoursData Scientist Flexible Hours
CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentTech companies, research labs, startups; project-basedBusiness analytics, research institutions, tech firms; collaborative teams
Industry UsageAI development, automation, predictive modelingData analysis, reporting, strategic decision-making

Both roles often offer flexible hours, but Machine Learning roles focus on developing algorithms and models, while Data Scientists analyze data to inform decisions. The choice depends on your skills and career goals within the data and AI industry.

What are popular job titles related to Machine Learning Flexible Hours jobs in Indiana?

For Machine Learning Flexible Hours jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Machine Learning Flexible Hours jobs in Indiana look for?

The top searched job categories for Machine Learning Flexible Hours jobs in Indiana are:

What cities in Indiana are hiring for Machine Learning Flexible Hours jobs?

Cities in Indiana with the most Machine Learning Flexible Hours job openings:

Artificial Intelligence/Machine Learning Engineer

Wabash Valley Power

Indianapolis, IN โ€ข On-site, Remote

$109K - $131K/yr

Full-time

Medical, Retirement, PTO

Re-posted 3 days ago


Job description

Company Description

About Us
Headquartered in Indianapolis, Indiana, Wabash Valley Power is a not-for-profit electric cooperative and wholesale provider of reliable, affordable electricity to our 21 electric distribution member cooperatives. These cooperatives in turn serve more than 280,000 homes, businesses, and farms in Indiana and Illinois.ย 
As a not-for-profit co-op, we do things a bit differently-and that's the point. Because we aren't influenced by shareholders, we make our decisions with our members in mind. That means we value things like teamwork, and putting families first. It also means a business model that's designed for stability and growth. It's a Deliberately Different approach to the energy industry, and that's great news for the people who count on us.

What You'll Get
We believe what benefits our employees benefits our company. That's why we put employees first-your health, your family, and your development. These aren't just slogans: We offer continuing education, flex time, health benefits, a 401(k) match and pension plan, and much more. Here are just a few of the things that make our company culture unique:

ย ย No Sweatย  - We offer a wellness program that includes a payroll credit for medical insurance, an on-site fitness center for your convenienceย and extra vacation days for participating. We'll even throw in a fitness deviceย reimbursement to keep you on track!
ย ย Flex Timeย  - Our flexible schedule means you can work in your appointments or family events andย maintain a comfortable work-life balance.
ย ย Stay in Schoolย  -ย We value employees who have a desire to learn, so we provide funds for continuingย education. We also offer in-house training and ongoing development through ourย internal GROW program.
ย ย Keep it Casualย ย - When you work for us, you work in comfort.ย  Blue jeans are the norm in our office, andย we make them look good!
ย ย Work Hard, Play Hardย  - We reward our employees with generous vacation time, to the tune of up to five weeks offย a year. Even our new employees receive credit for prior work experience.

Job Description

This position will design, implement, and support artificial intelligence (AI)/machine learning (ML) systems as the subject matter expert for Wabash Valley Power Alliance. This position will work with all business units, member cooperatives, and business partners to automate and optimize workflows and processes while limiting business risks. Success requires a desire to work with a broad range of technologies, systems, and databases to benefit Wabash Valley Power and our Member Cooperatives.ย  This position will also identify and develop AI/ML education for Wabash Valley Power and member cooperative staff.ย 

This role is hybrid in nature, with a combination of on-site workdaysย and remote workdays.ย 

Essential Duties and Responsibilities:ย 

  • Maintain compliance with all company policies and procedures
  • Present artificial intelligence and data finding to technical and non-technical stakeholders
  • Design, implement, administer, monitor, and maintain artificial intelligence/machine learning systems
  • Design, analyze, and maintain system algorithms including data models, natural language models, and machine learning models
  • Train and evaluate artificial intelligence system to ensure systems remain accurate with limited hallucinations
  • Perform complex analysis on large data sets and communicate meaningful intelligence to Technical Service Leadership
  • Research, prototype, and recommend new technology platforms or systems to improve business workflows and reduce risks
  • Maintain a constant level of expertise in all artificial intelligence technologies including but not limited to generative AI, machine learning, natural language processing, and deep learning
  • Develop and maintain computer code need for artificial intelligence system and business automation systems
  • Develop and implement AI models for tasks such as:
    • Predictive maintenance: Analyze sensor data to predict equipment failures and optimize maintenance scheduling
    • Load forecasting: Improve the accuracy of electricity demand forecasts to ensure reliable and cost-effective power generation
  • Develop and present reports on systems and business workflows
  • Develop and foster relationships with universities AI/ML programs
  • Education end-users on AI/ML tools and how they can be used within the organization and member cooperatives
  • Perform additional activities needed to demonstrate regulatory compliance with NERC CIP security standards.
Qualifications
  • Bachelor's Degree in quantitative science, engineering, or other STEM field
  • Three to five years prior artificial intelligence/machine learning or data analysis experience
  • Excellent verbal and written communication skills, including ability to effectively communicate with internal and external customers
  • Excellent technology proficiency with a strong commitment to continuous learning
  • Must be able to work under pressure and meet deadlines, while maintaining a positive attitude and providing exemplary customer service
  • Ability to work independently and to carry out assignments to completion within parameters of instructions given, prescribed routines, and standard accepted practices

Preferred Experience:ย 

  • Any system, network, or cybersecurity related experience or certifications are a plus
  • Experience working with data rich problems in research or professional projects is a plus
  • Graduate degree in data science, computational science, or artificial intelligence is a plus
  • Experience with data analysis tools such as R and Python
Additional Information

All your information will be kept confidential according to EEO guidelines.