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Startup Machine Learning Remote Jobs in Indiana (NOW HIRING)

$20/hr

Remote Compensation: $20 per hour Openings: 600 Role Overview We are seeking detail-oriented Data ... Proficiency in data annotation, labeling, or preparation for machine learning * Exceptional ...

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

United States (Remote) Interested applicants must reside in one of the following approved states ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

$40/hr

Track record of success in remote, crossโ€‘functional teams . Preferred Qualifications * Experience working on largeโ€‘scale, distributed codebases . * Familiarity with AI or machine learning systems ...

Field Service Engineer - IN

Zionsville, IN ยท On-site +1

$35 - $38/hr

Experience working in startup companies. * Certified electrician diploma. * Degree in Mechanical ... Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

... platforms, machine learning workloads, cloud infrastructure, and data integrations. * Lead root ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Remote. Key Responsibilities * Be responsible for hands-on execution of projects including Startup ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

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Startup Machine Learning Remote information

What are the key skills and qualifications needed to thrive as a Startup Machine Learning Engineer in a remote setting, and why are they important?

To thrive as a Startup Machine Learning Engineer remotely, you need a solid background in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree or equivalent experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms (AWS, GCP, or Azure), and version control systems like Git is essential. Strong self-motivation, communication skills, and the ability to collaborate effectively across time zones help set outstanding candidates apart. These skills and qualities are crucial for delivering impactful ML solutions independently while contributing to fast-paced, distributed startup teams.

What are remote startup machine learning jobs?

Remote startup machine learning jobs involve working for early-stage companies or startups to design, develop, and implement machine learning models and solutions, all while working from a remote location. These roles typically require strong programming skills, experience with data analysis, and familiarity with machine learning frameworks. Startups often offer dynamic environments where employees can work on diverse projects and contribute directly to the product's growth. Remote positions provide flexibility in work location and hours, but also require self-motivation and excellent communication skills to collaborate with distributed teams.

What are some unique challenges faced by machine learning professionals working remotely at a startup?

Machine learning professionals at startups often encounter fast-paced environments where priorities can shift quickly, and working remotely adds another layer of complexity. Collaboration with cross-functional teams, such as engineers and product managers, may require proactive communication to ensure alignment and clarity on project goals. Additionally, limited resources and data infrastructure at startups may mean you'll need to wear multiple hats and help shape processes from the ground up. However, this environment offers high autonomy, opportunities to have a direct impact, and rapid career growth potential as the startup scales.
What cities in Indiana are hiring for Startup Machine Learning Remote jobs? Cities in Indiana with the most Startup Machine Learning Remote job openings:
Artificial Intelligence/Machine Learning Engineer

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 10 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.