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Machine Learning Jobs in Fort Wayne, IN (NOW HIRING)

Emphasizes geometric interpretation of transformations and connects linear algebra to computer graphics, machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive ...

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Monitor machine operations and make real-time adjustments to maintain quality and productivity ... Embrace challenges and take part in the continuous learning and development opportunities provided ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Backend Developer

Fort Wayne, IN · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Frontend Engineer

Fort Wayne, IN · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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Machine Learning information

See Fort Wayne, IN salary details

$25.2K

$42K

$86.8K

How much do machine learning jobs pay per year?

As of Jun 15, 2026, the average yearly pay for machine learning in Fort Wayne, IN is $42,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What are the most commonly searched types of Machine Learning jobs in Fort Wayne, IN? The most popular types of Machine Learning jobs in Fort Wayne, IN are:
What job categories do people searching Machine Learning jobs in Fort Wayne, IN look for? The top searched job categories for Machine Learning jobs in Fort Wayne, IN are:
What cities near Fort Wayne, IN are hiring for Machine Learning jobs? Cities near Fort Wayne, IN with the most Machine Learning job openings:
Infographic showing various Machine Learning job openings in Fort Wayne, IN as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,015 per year, or $20.2 per hour.

$96K - $127K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Overview:
  • REQUIRED SKILLS
  • Languages: Python (required); SQL; optional Java/Scala
  • ML/MLOps: MLflow (or equivalent), model registry, monitoring, evaluation pipelines
  • Data: Spark, DataFrames, data modeling fundamentals, feature engineering
  • DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional)
  • Cloud: Azure, logging/monitoring
  • Experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML pipelines.
  • GOOD TO HAVE
  • Understanding of Data Science models
  • Exposure to Deep Learning frameworks such as TensorFlow or PyTorch
  • Solid understanding of feature engineering, model evaluation, and experimentation.
  • PREFERRED TRAITS
  • Strong communication and storytelling skills with data
  • Ability to work in a collaborative and fast-paced environment
  • Passion for solving complex business problems using data
  • Roles & Responsibilities
    ML Engineering & Delivery
  • Lead the design and implementation of production ML pipelines for training, batch inference, and real-time/near-real-time scoring.
  • Translate Data Science prototypes into robust, maintainable services and workflows with strong testing, observability, and reliability.
  • MLOps
  • Implement CI/CD for ML (model versioning, automated testing, promotion gates, rollback strategies) using Azure DevOps / GitHub Actions integrated with Databricks
  • Leverage MLflow (Databricks native) for experiment tracking, model registry, and lifecycle management
  • Establish best practices for model monitoring: data drift, concept drift, model degradation, and alerting.
  • Define and enforce guardrails for responsible AI: bias checks, explainability, privacy controls, and auditability.
  • Data & Platform Collaboration
  • Partner with Data Engineering on data quality, lineage, and availability to ensure reliable model inputs.
  • Work with Cloud/Platform teams to ensure scalable infrastructure (compute, networking, IAM, secrets, logging).
  • Influence target architecture and technology decisions for the ML platform roadmap.
  • Leadership & Mentoring
  • Provide technical leadership and mentorship to ML Engineers and junior team members.
  • Conduct design reviews, code reviews, and establish engineering standards.
  • Coordinate delivery plans, estimate work, and manage technical risks and dependencies.
  • Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
  • Build and manage feature engineering workflows, feature stores (where applicable), and reusable ML components.
  • Drive model packaging and deployment patterns (containers, serverless, managed endpoints) and optimize for performance and cost.

Skills:
Machine Learning