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Machine Learning Engineer Opt Jobs in Fishers, IN

Deloitte

Senior AI Engineer - SFL Scientific

Indianapolis, IN · On-site

$99K - $137K/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 ...

Simos

Machine Technical Associate

Greenfield, IN · On-site

$22 - $30/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 ...

eTeam

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

Job Summary : eTeam is a company focused on AI and machine learning solutions, and they are seeking an AI/ML Engineer to lead technical initiatives. The role involves designing and optimizing machine ...

Pwc

AI Engineer

Indianapolis, IN

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

New

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

Elevance Health

Gen AI Engineer

Indianapolis, IN · Hybrid

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

Elevance Health

Engineer Senior

Indianapolis, IN · On-site

$99K - $137K/yr

Researches, evaluates, and proposes new technologies, including Generative AI, LLM applications, automation frameworks, AI engineering practices, and applied machine learning solutions. * Designs ...

Elevance Health

Engineer Senior

Indianapolis, IN · Hybrid

$99K - $137K/yr

Researches, evaluates, and proposes new technologies, including Generative AI, LLM applications, automation frameworks, AI engineering practices, and applied machine learning solutions. * Designs ...

Elevance Health

Engineer Senior

Indianapolis, IN · On-site +1

$99K - $137K/yr

Researches, evaluates, and proposes new technologies, including Generative AI, LLM applications, automation frameworks, AI engineering practices, and applied machine learning solutions. * Designs ...

Pwc

AI Solutions Engineering Delivery Lead

Indianapolis, IN · On-site

$98K - $129K/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 ...

Onebridge

AI Developer

Indianapolis, IN · On-site

They are seeking a highly skilled AI Developer responsible for designing, developing, and deploying ... Responsibilities : • Design, develop, and implement AI and machine learning models to solve ...

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 ...

SynergisticIT

Python Programmer (Remote)

Fishers, IN · On-site

We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates Ideal Candidates: Recent grads in CS, Engineering, Math, or Statistics ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Fishers, IN

Machine Learning Engineer Opt information

See Fishers, IN salary details

$29.5K

$120.5K

$181.1K

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

As of Jul 30, 2026, the average yearly pay for machine learning engineer opt in Fishers, IN is $120,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $145,100.00 per year, depending on experience, location, and employer.

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 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.
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Machine Learning Engineer Opt jobs near you

Machine Learning Engineer

Bespoke Labs

Indianapolis, IN • On-site

Full-time

Re-posted 13 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination

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