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Associate Machine Learning Jobs in Hammond, IN (NOW HIRING)

Litera

Associate, Legal Knowledge Engineering

Chicago, IL · Hybrid

$115K - $133K/yr

Why this Role Matters As our Associate, Legal Engineering, you'll play a key role in shaping how ... High-performing machine learning models. Develop and refine "smart fields" - ML algorithms that ...

Epiq

Advanced Technologies Consultant

Chicago, IL · On-site

$110K - $135K/yr

... machine learning and generative AI. Working closely with the Associate Director and the broader Advanced Technologies Core practice group, the Consultant advises clients on defensible workflows and ...

Accenture

Lead AI / ML Engineer

Chicago, IL · On-site

$105K - $139K/yr

... If Associate's Degree, must have minimum 6 years work experience) Minimum of 6 years of experience in the following: * Developing and deploying machine learning models and AI solutions. At least 2 ...

Humana

Lead AI Factory Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ... Associates who live and work from Home in the state of California, Illinois, Montana, or South ...

Humana

Lead AI Factory Engineer

Chicago, IL · On-site +1

$105K - $139K/yr

Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch * Experience ... Associates who live and work from Home in the state of California, Illinois, Montana, or South ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in Hammond, IN

Associate Machine Learning information

See Hammond, IN salary details

$30.3K

$128.1K

$302.8K

How much do associate machine learning jobs pay per year?

As of Aug 10, 2026, the average yearly pay for associate machine learning in Hammond, IN is $128,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,300.00 and $194,500.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What job categories do people searching Associate Machine Learning jobs in Hammond, IN look for? The top searched job categories for Associate Machine Learning jobs in Hammond, IN are:
Associate Machine Learning jobs near you

Associate, Legal Knowledge Engineering

Litera

Chicago, IL • Hybrid

$115K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 days ago

Job description

Job Description

Ready to Help Shape the Future of Legal Tech?!

At Litera, we don't just build software, we transform how the world's top law firms operate. Every day, we RaiseTheBar for what's possible through AI, innovation, and solutions that power millions of legal professionals worldwide. If you're energized by scale, real impact, and meaningful challenges, you'll feel right at home here.

Where You'll Work

Hybrid: This is a hybrid role based in Toronto, Austin, Chicago, Denver, New Jersey, Philadelphia, or Raleigh with the expectations to be in office at least 3 days a week for collaboration and connection.

Why this Role Matters

As our Associate, Legal Engineering, you'll play a key role in shaping how Litera's AI-powered products understand and analyze complex legal documents. You'll partner closely with product, engineering, and design teams to drive the development of intelligent features grounded in real legal workflows, and your work will directly influence the accuracy, usability, and value our tools deliver to the world's leading law firms, professional service firms, and corporations. This is a high-visibility role ideal for someone who thrives in a fast-moving, collaborative environment and wants to make a measurable difference from day one.

What You'll Deliver

  • Product vision for legal AI. Partner with product, engineering, and design teams to define the roadmap for Kira and other Litera legal tech products, ensuring every feature reflects how lawyers actually work.

  • High-performing machine learning models. Develop and refine "smart fields" - ML algorithms that automatically locate key provisions in securities, financing, and other transactional documents - so clients spend less time on manual review.

  • Optimized generative AI experiences. Experiment with and validate LLM-driven prompting within Litera products, raising accuracy and usability for end users.

  • Domain expertise that keeps Litera ahead. Maintain deep awareness of developments in transactional law and continuously identify new document types and data points worth building into the platform.

  • Legally sound product workflows. Advise engineering teams on how legal processes work in practice, preventing design choices that would create friction for attorneys.

  • Scalable quality standards. Train and validate models across diverse document sets, ensuring consistent, reliable output that clients can trust at scale.

  • Process improvements and best practices. Identify inefficiencies in current workflows and recommend changes that accelerate delivery and improve product quality.

  • Client-ready solutions. Translate complex legal concepts into actionable product requirements that deliver measurable value to the world's leading firms and corporations.

We're committed to creating an inclusive environment. If you need accommodations at any point in the process or in the role, we're here to support you.

What You'll Bring

Must-Haves:

  • JD with active bar admission in at least one U.S. state or Canadian province.

  • Two or more years of transactional law experience at a law firm, in-house legal team, or legal service provider.

  • Strong interest in legal technology and artificial intelligence, with a willingness to experiment with new tools.

  • Exceptional attention to detail, analytical skills, and ability to manage multiple priorities simultaneously.

  • Excellent written and verbal communication skills paired with a client-service mindset.

  • Self-motivated and able to work independently while collaborating effectively across cross-functional teams.

Nice to Haves:

  • Experience in debt financing transactions.

  • Background in legal operations, legal program management, or contract management systems.

  • Hands-on exposure to AI, machine learning, or generative AI tools.

  • Prior experience working with or within a legal technology company.

We know great candidates don't always check every box. If you're excited about this role, we encourage you to apply.

What You'll Experience

  • A team that shows up. Work alongside people who collaborate, support one another, and lead with integrity.

  • Global Reach. Partner with teams around the world to solve complex challenges that matter.

  • Real opportunity for growth. Expand your impact through meaningful stretch opportunities, visibility and career development.

  • AI-driven innovation. Work at the intersection of legal technology, customer outcomes, and cutting-edge AI.

Pay Transparency for Colorado, Illinois, and New Jersey:

The base salary range for this role is $80,000 to $97,000 USD. Final compensation will be determined based on experience, skills, education, and other relevant qualifications. This role is also eligible to earn commission based on performance.

Pay Transparency for Ontario Applicants

The base salary range for this role is $115,000 to $133,000 CAD. Final compensation will be determined based on experience, skills, education, and other relevant qualifications. This role is also eligible to earn commission based on performance. In addition to base salary, Litera offers a comprehensive benefits package, including medical, dental, and vision coverage, retirement savings plan with company match, and incentive and recognition programs. Benefits are subject to eligibility requirements.

Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply