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Junior Ai Machine Learning Python Jobs in Troy, MI

A123 Systems LLC

Battery Modeling Engineer

Novi, MI · Hybrid

Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing ... Sophisticated software/programming skills, such as COMSOL, Matlab, Python, etc. * Experience with ...

A123 Systems Corp.

Battery Modeling Engineer

Novi, MI · On-site

Develop data-driven AI machine learning models to optimize the design of battery cell manufacturing ... Sophisticated software/programming skills, such as COMSOL, Matlab, Python, etc. * Experience with ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

... our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role ... Fluency in programming languages such as Python and SQL, and familiarity with others like Java or ...

Indeed

Machine Learning Engineer

Detroit, MI

Responsibilities * Build AI/ML systems for search, ranking, and recommendations * Develop LLM ... Experience building ML models in Python; solid software engineering and algorithms fundamentals

Ford Motor Company

AI Engineer

Dearborn, MI · On-site +1

$105K - $126K/yr

As an AI Engineer, you should have a strong technical background and demonstrate experience in Data ... machine learning models * Develop and maintain robust and efficient code using Python and relevant ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Detroit, MI · On-site

$77K - $202K/yr

... junior team members and fostering a collaborative work environment What You Must Have - At least a ... and machine learning libraries - Utilizing Python for complex data analysis and modeling ...

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Junior Ai Machine Learning Python information

See Troy, MI salary details

$44.1K

$89.6K

$134.6K

How much do junior ai machine learning python jobs pay per year?

As of Jun 14, 2026, the average yearly pay for junior ai machine learning python in Troy, MI is $89,606.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,200.00 and $90,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Troy, MI? For Junior Ai Machine Learning Python jobs in Troy, MI, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Troy, MI look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Troy, MI are:
What cities near Troy, MI are hiring for Junior Ai Machine Learning Python jobs? Cities near Troy, MI with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you
Principal Machine Learning

Principal Machine Learning

AAA Life Insurance Company

Livonia, MI

Full-time

Posted 3 days ago

Job description

General Purpose

At AAA Life, we are building a future-focused team using AI and automation to transform life insurance operations. If you're driven by meaningful work and want to deliver solutions that matter to millions of members, this is your opportunity.

We are seeking a Principal Machine Learning Engineer to serve as a technical leader within our Automation and AI organization. This role is accountable for defining and driving AI strategy, architecture, and delivery across multiple high-impact enterprise initiatives. The Principal MLE will lead the development of production-grade AI and agentic systems, ensuring successful deployment of business-critical solutions across Claims, Underwriting, and Member Services. These systems directly impact operational efficiency, decision quality, and customer experience at scale. This role requires deep expertise in modern AI, particularly in designing and deploying autonomous, agentic systems, an emerging and highly specialized area with a limited talent pool. This is a hands-on technical leadership role responsible for delivering enterprise-scale AI solutions where architectural decisions, system reliability, and model behavior have direct and measurable business impact.


Position Responsibilities

  • Establish engineering standards, best practices, and evaluation frameworks for AI systems
  • Lead technical decision-making for model selection, system design, and deployment strategies
  • Act as the subject matter expert for agentic AI and modern LLM-based systems within the organization
  • Architect and deliver production-grade, multi-step AI agents capable of autonomous reasoning, tool orchestration, task decomposition, memory management, and human-in-the-loop escalation—requiring specialized expertise in emerging agentic AI frameworks
  • Design and deliver AI systems on enterprise cloud platforms (e.g., AWS, Azure), including LLM services (AWS Bedrock, Azure OpenAI), supporting high-volume, business-critical workflows with strict requirements for reliability, auditability, and performance
  • Own the agent evaluation and observability stack, including benchmarking, tracing, regression testing, and performance monitoring
  • Optimize LLM inference costs and resource utilization for production workloads
  • Partner with business leaders to identify, prioritize, and shape AI-driven initiatives aligned with organizational goals
  • Translate complex business problems into scalable AI solutions with measurable impact
  • Drive roadmap planning and investment decisions related to AI and automation
  • Collaborate with IT, data engineering, and operations teams to integrate AI solutions into enterprise systems
  • Mentor and develop machine learning engineers and data scientists
  • Provide technical guidance and elevate team capabilities in modern AI practices
  • Ensure responsible and compliant use of AI systems, including managing risks related to model behavior, data usage, and regulatory considerations in a highly regulated industry
  • Lead evaluation and integration of external AI platforms and vendors, including assessment of cost, intellectual property, scalability, security, and long-term architectural impact

Core Competencies

  • Excellent communication skills and ability to explain ML results to non-technical audiences
  • Proven ability to operate with a high degree of autonomy and accountability
  • Experience driving adoption of AI solutions in enterprise environments
  • Ability to influence technical direction and investment decisions across organizational boundaries
  • Track record of building engineering culture and raising the technical bar within a team

Education/Experience

  • Master’s degree (or higher) in Computer Science, Engineering, Statistics, or related quantitative field
  • 10+ years of hands-on experience in machine learning, AI, or related disciplines
  • 2+ years of recent experience architecting and delivering LLM-based and agentic AI systems in production
  • Proven track record of delivering end-to-end AI solutions, from problem definition through production deployment
  • Strong programming skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow)

Preferred Qualifications

  • Experience building agentic systems for document-heavy workflows (e.g., claims, underwriting, policy processing)
  • Experience with enterprise cloud AI platforms (AWS Bedrock, SageMaker, Azure OpenAI)
  • Experience with agent frameworks (LangGraph, LangChain, AutoGen, CrewAI, or equivalent)
  • Experience with AI observability and evaluation tools (e.g., Langfuse, LangSmith, or similar)
  • Familiarity with Model Context Protocol (MCP) or equivalent tool-integration standards
  • Experience deploying AI systems in regulated environments (insurance, finance, healthcare)
  • Experience leading AI architecture across multiple teams or domains

 

Essential Job Functions

While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel and talk or hear.  Specific vision abilities required by this job include close vision, distance vision, color vision, depth perception, and ability to adjust focus.

This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements.  Reasonable accommodations will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.

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