Question 1

How do you source ML engineers in Indianapolis, IN?

Accepted Answer

We maintain an active, continuously updated network of ML engineers in Indianapolis and across the US and Canada. We proactively reach out to passive candidates who fit your specific role and stack, we don't rely on job boards alone.

Question 2

What seniority levels do you place?

Accepted Answer

We place ML engineers at every level, mid-level (2-5 years), senior (5-8 years), staff, and principal engineers. We also place ML team leads and heads of ML for companies building out the function from scratch.

Question 3

Do you support contract, contract-to-hire, and direct hire?

Accepted Answer

Yes, all three. Contract works well for project-based ML work, team augmentation, or when headcount isn't yet approved. Contract-to-hire lets you evaluate an engineer in your environment before committing. Direct hire is best for core team builds. We advise on the right structure based on your situation.

Question 4

Can you place ML engineers with specific industry domain experience?

Accepted Answer

Yes. Our network includes ML engineers with domain experience in fintech, healthcare, e-commerce, autonomous systems, NLP, and computer vision. Tell us your domain and we filter accordingly.

Question 5

What is the typical compensation range for ML engineers in Indianapolis?

Accepted Answer

Senior ML engineers in Indianapolis, IN typically command $160K-$220K+ in total comp for direct hire roles, depending on seniority and domain specialization. Contract rates generally run $90-$150/hour. We provide current market data during your intake call.

Question 6

How is Crosscheck different from a general IT staffing agency?

Accepted Answer

We specialize exclusively in AI/ML, ERP, and data engineering. That focus means our team actually understands the difference between an ML engineer and a data analyst, and our candidate network is built to match that depth.

Question 7

How do you evaluate ML engineering candidates technically?

Accepted Answer

We screen on modeling fundamentals, loss functions, regularization, cross-validation, feature engineering, as well as production experience: model serving, retraining pipelines, monitoring for drift, and A/B experimentation. We verify actual project delivery, not just familiarity with tools.

Question 8

Can you find ML engineers who have both research and production experience?

Accepted Answer

Yes. The most valuable ML engineers sit at the intersection of research depth and engineering rigor. We specifically look for candidates who have shipped models to production and can articulate how they handled latency, data drift, and retraining, not just those with impressive academic backgrounds.

Question 9

Is remote placement available for ML roles in Indianapolis?

Accepted Answer

Absolutely. We place ML engineers in fully remote, hybrid, and on-site roles. Many Indianapolis-based clients are open to remote candidates across the US and Canada, which opens up the pool significantly for specialized domains like RL, CV, and applied NLP.

Question 10

What's your 90-day guarantee?

Accepted Answer

All direct hire placements come with a 90-day replacement guarantee. If the engineer leaves or doesn't work out within 90 days, we run a replacement search at no additional fee.

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