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Machine Learning Engineer Apprenticeship Jobs in Indiana

Senior AI Engineer - SFL Scientific

Indianapolis, IN

$99.90K - $137.20K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

... machine learning models using natural language process that will be integrated into our automated processes. This role is ideal for an engineer eager to grow and contribute to scalable, reliable ...

Description Launch your machine learning career in Greenfield, IN as a Machine Technical Associate ... Knowledge of CNC and PLC systems and programming * Knowledge of robots * Demonstrated casting ...

Data Engineer

New Albany, IN ยท On-site +1

$105.90K - $127.20K/yr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

AI Software Engineer

Anderson, IN ยท On-site +1

$48.25 - $64/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

AI Data Engineer - Manager

Indianapolis, IN

$109.40K - $131.40K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

AI and Data Science Engineer III

Indianapolis, IN ยท On-site +1

$109.40K - $131.40K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Senior ML Engineer

Indianapolis, IN ยท On-site

$99.90K - $137.20K/yr

We are building a small, high-impact team to support advanced analytics and machine learning ... Collaborate with cross-functional teams (clinical engineering, finance, IT) to translate insights ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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Machine Learning Engineer Apprenticeship information

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

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

What types of projects can I expect to work on during a Machine Learning Engineer Apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.

What is a Machine Learning Engineer Apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.
What are popular job titles related to Machine Learning Engineer Apprenticeship jobs in Indiana? For Machine Learning Engineer Apprenticeship jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Machine Learning Engineer Apprenticeship jobs? Cities in Indiana with the most Machine Learning Engineer Apprenticeship job openings:
Manager, Data Science (ML Focus) - Remote in the US

Manager, Data Science (ML Focus) - Remote in the US

Resultant

Indianapolis, IN โ€ข On-site, Remote

Full-time

Posted 23 days ago


Job description

Company Description
We are a passionate team of 300+ engineers, mathematicians, data analysts, project managers, and business consultants. But more importantly, we are active listeners, deep thinkers, and courageous problem solvers.
The Resultant team purposefully comes together to produce a positive outcome. Our name symbolizes our commitment to empathy and collaboration-of not just delivering our clients with the best solutions, but to deeply listening to them, understanding their needs, and learning from each other in the process. The force of Resultant comes from the combined knowledge, passion, and innovation of our team and partners.
Together, we partner with clients in the public and private sectors to help them overcome their most complex challenges, empowering our clients to drive meaningful change in their organizations and communities. In everything you do, you'll help your clients, colleagues, and communities thrive.
Resultant was founded as KSM Consulting in 2008.
Job Description
At Resultant, we are fearless problem solvers. We are passionate about helping our clients solve their toughest problems, while empathizing with people our solutions will help. Data analytics is a core component of how we do this. We are looking for a Senior Data Scientist / Machine Learning Engineer (DS/MLE) to add to our talented team of team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in today's fast-paced environment. As a Senior DS/MLE, you will have the opportunity to develop novel machine learning and AI solutions and deploy them to production applications and systems.
Here is what a typical day for you might look like:
  • Engaging directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable way
  • Partnering with internal and client stakeholders to shape solutions, develop proposals, and contribute to go-to-market initiatives
  • Design, develop and deploy efficient data pipeline for both structured and unstructured data
  • Productionize machine learning research in both on premises and cloud environments
  • Rapid prototyping solutions and integrating of new data sources
  • Drive optimization, testing and tooling to improve quality of solutions
  • Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before
  • Collaborate with data architects and software developers to plan and construct the architecture of model deployment
  • Develop and support APIs to serve models and other data solutions
  • Continuously learning and adopting new tools and technologies to stay ahead in a rapidly evolving AI landscape

Qualifications
*This is not an entry level/recent graduate role and requires at least 5+ years of related industry experience.*
Education and Experience:
Required
  • Experience working in a consulting firm (professional services or managed services)
  • Previous experience managing a team of Data Scientists.
  • Bachelor's degree (and preferably an advanced degree) in Computer Science, Engineering, or in a quantitative field is required
  • 5+ years experience with software engineering in Python (additional languages like Scala/C++/R are a plus)
  • 3+ years experience with Databricks and/or Apache Spark
  • 3+ years experience with advanced analytics and modern machine learning techniques
  • 3+ years experience with APIs, containerization (Docker), and orchestration (Airflow)
  • 3+ experience with relational databases and SQL (Postgres, Redshift, SQL Server)
  • 3+ experience with Cloud platforms (Azure, AWS, GCP) and services
  • Proficient with version control
  • Proficient in software architecture and design patterns
  • Proficient on Linux for both development and operations

Preferred
  • Experience with deploying applications on Kubernetes
  • Experience with Palantir Foundry
  • Experience with Python API development frameworks (FastAPI, Django, Flask)
  • Experience with NoSQL and streaming platforms, e.g., Kafka, MongoDB, Neo4j

Consulting, Communication and Leadership Skills:
  • Experience working in a consulting or client-facing environment, collaborating directly with business stakeholders
  • Strong ability to translate complex technical concepts for non-technical audiences
  • Demonstrated experience contributing to business development efforts, including proposal writing, solutioning, and partnering with sales or account teams
  • Solution creativity and effective written, verbal, and presentation skills
  • Proven success working across diverse industries and project sizes with a collaborative, outcomes focused mindset
  • Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problems

Additional Information
What It's Like to Work Here
At Resultant, we are driven by purpose-partnering with clients to take on their toughest challenges and creating outcomes that make a real difference. Success here means lasting impact, not just delivered projects. We work as collaborative experts, leaning into complexity with confidence and humility, asking smart questions, sharing ideas freely, and combining our diverse expertise to turn challenges into clear, transformative solutions. We make our outcomes visible by sharing results, stories, and lessons learned, because growth happens through shared experience.
Accountability & Ownership
Resultant offers a flexible, high-trust environment, paired with a shared commitment to accountability:
  • Take ownership of your work from start to finish and deliver on your commitments to clients and coworkers
  • Communicate proactively, especially when priorities shift
  • Focus on outcomes, follow-through, and measurable impact
  • Show up where it matters, in person or virtually, when it strengthens relationships or results
  • Do the small things brilliantly: respond timely, stay organized, and follow through to build trust

We trust each other to own our work and deliver exceptional results. Flexibility means autonomy paired with accountability: the freedom to work in ways that fit your life, balanced with the reliability our clients and coworkers count on.
Is Resultant the right spot for you?
You may thrive here if you bring curiosity and a consulting mindset to every challenge, take ownership of your growth, and give and receive feedback with intention. If you're energized by bold ideas, continuous learning, and investing in the people around you, this is your place. At Resultant, we show up for each other, own our outcomes, and build leaders who create lasting impact for our clients, our communities, and each other.
Equal Opportunity Employer
We embrace AI across everything we do, and that includes how you prepare for this interview. Feel free to use AI tools to research the role, practice your responses, and put your best foot forward. What matters to us is getting to know the real you - how you think, how you communicate, and what you genuinely bring to the table. Our interviews are designed to go deeper than any polished answer, so come curious and come as yourself without the support of an AI tool during our conversation.