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Remote Embedded Machine Learning Jobs in Gary, IN

Senior Data Scientist

Chicago, IL ยท On-site +1

$122K - $228K/yr

Data Analytics & Reporting This is ideally a hybrid role but open to remote Role Overview We are ... Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive ...

Director of Data Science

Chicago, IL ยท On-site +1

$153K - $229K/yr

Drive modernization through advanced modeling techniques, machine learning, and AI to enhance ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

... in remote settings. Preferred Qualifications: * Previous experience working on large-scale, distributed codebases. * Familiarity with modern AI or machine learning systems is a plus, though not ...

This role requires a strong technical background in AI and machine learning, combined with the ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

This role requires a strong technical background in AI and machine learning, combined with the ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Domain Expert - (STEM PhD)

Chicago, IL ยท Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

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Remote Embedded Machine Learning information

See Gary, IN salary details

$69.7K

$152.6K

$173.1K

How much do remote embedded machine learning jobs pay per year?

As of Jul 7, 2026, the average yearly pay for remote embedded machine learning in Gary, IN is $152,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,900.00 and $172,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

What is the difference between Remote Embedded Machine Learning vs Remote Data Scientist?

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.
What are popular job titles related to Remote Embedded Machine Learning jobs in Gary, IN? For Remote Embedded Machine Learning jobs in Gary, IN, the most frequently searched job titles are:
What cities near Gary, IN are hiring for Remote Embedded Machine Learning jobs? Cities near Gary, IN with the most Remote Embedded Machine Learning job openings:

Senior Data Scientist

BMO Capital Markets

Chicago, IL โ€ข On-site, Remote

$122K - $228K/yr

Full-time

Medical, Life, Retirement

Re-posted 10 days ago


Job description

Application Deadline:

07/17/2026

Address:

180 Montgomery St.

Job Family Group:

Data Analytics & Reporting

This is ideally a hybrid role but open to remote

Role Overview


We are looking for a Senior Data Scientist with a strong cando mindset, proven ability to ship productiongrade models, and passion for solving ambiguous business challenges. This role blends deep technical expertise with business acumen, product thinking, and strong storytelling skills. You will drive endtoend delivery of Data & AI solutions-from problem framing and data acquisition to model development, deployment, and ongoing optimization-while influencing stakeholders across the organization.

Key Responsibilities

Model Development & Delivery

  • Apply advanced analytics, machine learning, deep learning, and AI methodologies to build predictive models and intelligent automation systems that deliver measurable business impact.
  • Own the full model lifecycle: data exploration, modeling, validation, deployment, monitoring, and continual improvement.
  • Diagnose and resolve model performance issues; implement scalable, reliable processes for ongoing model operations.
  • Use strong programming skills to prepare complex datasets (structured, semistructured, unstructured) and build reproducible pipelines.

Business Impact & Storytelling

  • Translate complex analytical findings into clear, actionable insights that influence decisionmaking at all levels.
  • Present recommendations in a compelling narrative that resonates with both technical and nontechnical stakeholders.
  • Lead discovery sessions to clarify business needs, define success metrics, and design analytical approaches that support business strategy.

Innovation & Best Practices

  • Drive innovation in Data & AI through new techniques, experimentation frameworks, and reusable analytical assets.
  • Establish and promote best practices in model development, MLOps, governance, and data quality.
  • Stay current on emerging trends, regulations, and technologies; provide guidance on how to leverage them within the organization.

Leadership & Collaboration

  • Serve as a subject matter expert for stakeholders across the enterprise.
  • Partner with crossfunctional teams-including Engineering, Product, and Business-to deliver solutions that scale.
  • Lead or contribute to strategic initiatives, roadmaps, and business cases that support the organization's data and AI vision.
  • Mentor and guide other data scientists; contribute to internal training, tools, and knowledgesharing.

Execution & Change Leadership

  • Manage complex, ambiguous problems by structuring analytical approaches and selecting appropriate modeling techniques.
  • Lead change management and communication efforts associated with analytics initiatives.
  • Implement processes and controls that ensure highquality, consistent delivery of analytical work.

Qualifications

  • 7+ years of relevant experience in data science, machine learning, or applied analytics.
  • Advanced degree (PhD preferred) in Computer Science, Engineering, Statistics, Mathematics, Physics, or related quantitative field-or equivalent experience.
  • Proven track record of shipping models to production and maintaining them at scale.
  • Expertise in machine learning and deep learning algorithms and frameworks.
  • Proficiency in Python and SQL; experience with R, SAS, or other analytical tools is a plus.
  • Experience with distributed computing technologies (Hive, Hadoop, Spark) and cloud ML platforms (AWS SageMaker, Azure ML, etc.).
  • Strong communication, storytelling, and influence skills; able to drive alignment across diverse groups.
  • Demonstrated ability to operate in ambiguity, make data-driven decisions, and solve complex, open-ended problems.
  • Experienced collaborator with deep cross-functional partnership skills and ownership mindset.

Salary:

$122,400.00 - $228,000.00

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at http://jobs.bmo.com/us/en

BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.