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Senior Machine Learning Engineer Jobs in Indiana

Pwc

NGA AI Engineer Senior Manager

Indianapolis, IN

$91K - $321.50K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large ...

Matrix Design Group

Senior Computer Vision Engineer

Newburgh, IN · On-site

$99.10K - $136.10K/yr

The Senior Computer Vision Engineer will work closely with software engineers, as well as project ... Understand and apply source control best practices for machine learning, ETL, and data annotation ...

Matrix Design Group

Senior Computer Vision Engineer

Newburgh, IN · On-site

$99.10K - $136.10K/yr

The Senior Computer Vision Engineer will work closely with software engineers, as well as project ... Understand and apply source control best practices for machine learning, ETL, and data annotation ...

Pwc

CTIO-AI Engineer-Sr Associate

Indianapolis, IN

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain ...

Relativity

Senior Applied Scientist

Indianapolis, IN · On-site +1

We work closely with engineering, product, design, data engineering, machine learning operations ... a Senior Applied Scientist, Generative AI, you will design, build, and deploy generative and ...

Authenticx

Data Scientist

Indianapolis, IN · Remote

... 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 ...

Align Technology, Inc.

$195K/yr

As a Senior Software Research Engineer, you will work at the intersection of computer vision ... What We Expect From You Focus & expertise in 3D & 2D machine learning. Excellence in 3D geometry.

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Senior Machine Learning Engineer information

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$56.6K

$120.4K

$174.6K

How much do senior machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for senior machine learning engineer in Indiana is $120,427.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $136,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Indiana? The most popular types of Machine Learning Engineer jobs in Indiana are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Indiana? For Senior Machine Learning Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Engineer jobs in Indiana look for? The top searched job categories for Senior Machine Learning Engineer jobs in Indiana are:
What cities in Indiana are hiring for Senior Machine Learning Engineer jobs? Cities in Indiana with the most Senior Machine Learning Engineer job openings:
Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Indiana as of May 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $120,427 per year, or $57.9 per hour.
Manager, Data Science (ML Focus) - Remote in the US

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

Resultant

Indianapolis, IN • 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.

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