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Machine Learning Engineer Opt Jobs in Indiana (NOW HIRING)

Deloitte

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 ...

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 ...

Simos

Machine Technical Associate

Greenfield, IN · On-site

$22 - $24/hr

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 ...

GMV

Data Engineer

New Albany, IN · 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 ...

GMV

AI Software Engineer

Anderson, IN · 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 ...

Deloitte

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 ...

Deloitte

AI and Data Science Engineer III

Indianapolis, IN · 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 ...

Pwc

CTIO AI Engineering Manager

Indianapolis, IN · On-site

$73.50K - $244K/yr

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 Opt information

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

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

What are popular job titles related to Machine Learning Engineer Opt jobs in Indiana? For Machine Learning Engineer Opt jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Indiana look for? The top searched job categories for Machine Learning Engineer Opt jobs in Indiana are:
What cities in Indiana are hiring for Machine Learning Engineer Opt jobs? Cities in Indiana with the most Machine Learning Engineer Opt job openings:
Machine Learning Engineer Opt jobs near you
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 24 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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