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Ml Analyst Jobs in Indiana (NOW HIRING)

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in driving our AI-driven product development initiatives. The successful candidate will possess a strong ...

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in driving our AI-driven product development initiatives. The successful candidate will possess a strong ...

Keystone Cooperative is seeking a detail-oriented and highly analytical ML Engineer to assist in driving their AI-driven product development initiatives. The successful candidate will apply AI and ML ...

Keystone Cooperative is seeking a detail-oriented and highly analytical ML Engineer to assist in driving AI-driven product development initiatives. The successful candidate will apply AI and ML ...

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Develop and prototype AI/ML systems to address mission-specific requirements, including computer ... Analyze test data to identify model strengths, weaknesses, and mission relevance. * Refine and ...

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Develop and prototype AI/ML systems to address mission-specific requirements, including computer ... Analyze test data to identify model strengths, weaknesses, and mission relevance. * Refine and ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... Lead root cause analysis efforts and drive corrective and preventive actions to improve platform ...

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Ml Analyst information

See Indiana salary details

$29.5K

$69.7K

$123.7K

How much do ml analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for ml analyst in Indiana is $69,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $82,800.00 per year, depending on experience, location, and employer.

Is machine learning analyst a high paying job?

Machine learning analysts typically earn above-average salaries compared to many other data-related roles, with compensation influenced by experience, education, and industry. Professionals in this field often have skills in programming, statistical analysis, and tools like Python or R, which can contribute to higher pay levels.

What cities in Indiana are hiring for Ml Analyst jobs?

Cities in Indiana with the most Ml Analyst job openings:

Infographic showing various Ml Analyst job openings in Indiana as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $69,712 per year, or $33.5 per hour.

ML Engineer

Keystone

Indianapolis, IN • On-site

Full-time

Re-posted 5 days ago


Job description

Job Description

Overview: Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in driving our AI-driven product development initiatives. The successful candidate will possess a strong understanding of data analysis, along with the ability to apply AI and ML methodologies to enhance our products.

Must be authorized to work in the United States now and in the future, without company sponsorship. Must be able to work onsite in the corporate office in Indianapolis, Indiana. (This role is not hybrid or remote).

Duties and Responsibilities:

Include but are not limited to:

  • Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions tailored to those needs.
  • Utilize Snowflake Cortex and other AI/ML development tools to design, implement, and optimize data models and algorithms.
  • Conduct exploratory data analysis to uncover trends, patterns, and insights that can inform business decisions.
  • Analyze complex datasets to extract actionable insights that inform product development strategies.
  • Conduct complex statistical analyses, including regression modeling, hypothesis testing, and predictive analytics, to forecast trends and inform strategic decisions.
  • Assist in developing machine learning models and algorithms to solve complex business problems and improve operational efficiency.
  • Create and maintain detailed documentation of data analysis processes and AI/ML model development.
  • Monitor and evaluate the effectiveness of AI/ML models in production and refine them as needed.
  • Provide training and support to team members and stakeholders on data analysis tools and techniques.

Skills and Qualifications:

  • Proven experience as a Data Analyst or Data Engineer, preferably with experience incorporating AI/ML methodologies.
  • Strong expertise in data analysis tools and languages (e.g., Python, R, SQL).
  • Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex findings in a clear and concise manner.
  • Strong teamwork and collaboration skills.

Education and Experience:

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Master's degree preferred.

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