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Machine Learning Engineer Associate Jobs in Carmel, IN

Pwc

US Tech - AI Engineering Manager

Indianapolis, IN

$73K - $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 ...

GMV

Data Architect

Anderson, IN · On-site +1

$55.25 - $71/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 ...

Perfecto Tool and Engineering

Machine Builder

Anderson, IN · On-site

$17.75 - $23/hr

This role is accountable for assembling components per engineering specifications, maintaining ... Customer Experience, Integrity, Learning, and Stewardship. Requirements Role Specific Capabilities ...

Crowe LLP

AI Infrastructure Engineer

Indianapolis, IN

$102K - $134K/yr

Engineer advanced ADO pipeline patterns (multi-stage, gated, reusable templates) * Solve complex ... You've gone deeper than reading blog posts, ideally having several example machine learning ...

Simos

Machine Operator - Hiring Immediately

Greenfield, IN · On-site

$19.50 - $20.86/hr

... associates to work on both 2nd and 3rd shift. Enjoy benefits including medical, as well as ... Contribute to your area along with the enjoyment of learning specific functions, to continue to ...

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All JobsMachine Learning Engineer Associate JobsMachine Learning Engineer Associate Jobs in Carmel, IN

Machine Learning Engineer Associate information

See Carmel, IN salary details

$41.4K

$82.5K

$131.8K

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

As of Jul 13, 2026, the average yearly pay for machine learning engineer associate in Carmel, IN is $82,508.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $94,900.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Carmel, IN? The most popular types of Machine Learning Engineer jobs in Carmel, IN are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Carmel, IN? For Machine Learning Engineer Associate jobs in Carmel, IN, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Carmel, IN look for? The top searched job categories for Machine Learning Engineer Associate jobs in Carmel, IN are:
What cities near Carmel, IN are hiring for Machine Learning Engineer Associate jobs? Cities near Carmel, IN with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you
Geospatial Data Engineer

Geospatial Data Engineer

Corteva Agriscience

Indianapolis, IN • On-site

Full-time

Medical, Retirement, PTO

Posted 18 days ago

Job description

Position Summary
We are seeking a Geospatial Data Engineer to design, build, and scale geospatial data products that support Digital Agriculture Solutions, Crop intelligence platforms.
The ideal candidate combines expertise in remote sensing, geospatial processing, and cloud-native architectures to transform Earth observation data into scalable, production-ready analytics and machine learning solutions.
Key Responsibilities
  • Design and implement scalable geospatial processing workflows using Earth observation datasets (e.g., Sentinel, SAR etc.) to generate field/regional scale insights for digital agriculture applications.
  • Architect, develop, and deploy scalable geospatial data products and cloud-native processing solutions that integrate multiple data types with earth observational datasets to support production digital agriculture solutions.
  • Partner with data scientists, agronomists, software engineers, and product teams to operationalize geospatial insights and enable scalable solutions.
  • Provide technical leadership in geospatial engineering, remote sensing, cloud architecture, and emerging Earth observation technologies, while promoting best practices in scalability, data quality, and system design

Required Qualifications
  • Bachelor's or Master's degree in Geospatial Science, Remote Sensing, GIS, Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in geospatial engineering, remote sensing, geospatial software development, or related disciplines.
  • Strong experience working with raster and vector geospatial data at scale.
  • Proficiency in Python and modern geospatial processing frameworks.
  • Experience designing cloud-based geospatial processing solutions and production workflows.
  • Strong understanding of coordinate systems, projections, raster processing, and spatial analytics.

Preferred Qualifications
  • Experience with GDAL, Rasterio, GeoPandas, Shapely, Xarray, STAC APIs, or similar geospatial tools.
  • Experience with Earth Engine, GCP, AWS, Azure, or distributed processing platforms.
  • Experience integrating remote sensing, weather, soil, and observational datasets.
  • Knowledge of agricultural analytics, crop monitoring, pest forecasting, disease modeling, or related digital agriculture applications.
  • Experience supporting machine learning workflows using geospatial features.

Success in this Role
  • Deliver scalable geospatial processing systems and high-quality satellite-derived data products.
  • Enable production digital agriculture solutions through effective integration of remote sensing, weather, soil, and observational datasets.
  • Drive innovation in geospatial analytics and remote sensing capabilities across the organization.

Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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