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Trying to build AI products without the right engineers is a losing game. You’re juggling aggressive timelines, overworked dev teams, and pressure from every direction to deliver something that actually works. But every day without the right people costs momentum.
You’ve probably tried tapping your network or chasing leads from internal TA. Still nothing that gives you confidence. What you need now is certainty. Engineers who understand ML pipelines, speak your tech stack, and don’t need a month of onboarding just to get moving.
The job isn’t to fill a role. It’s to ship the next model, deploy the next feature, and hit the next milestone. That takes real contributors who are technical, reliable, and quick to integrate. If that’s not who’s showing up in your inbox, it’s time for a different approach.
Hire AI Engineering Talent Without The Hassle
We take a structured, consultative approach to AI and ML staffing, ensuring you get the right people, at the right time, for the right price.
1. Role Scoping That Makes Sense
Define success based on outcomes and ownership, not vague job titles. Align on what the engineer needs to build, fix, or scale so expectations are clear from day one.
2. Live Market Insights, Not Guesswork
Get up-to-date intel on salary ranges, availability, and candidate expectations. Avoid wasted cycles by knowing what the talent you need actually costs and where to find it.
3. Targeted Outreach That Surfaces the Right People
Sourcing automation meets thoughtful human engagement to surface engineers who are technical fits and team-ready. You only see profiles worth reviewing, not a pile of maybes.
4. Technical & Behavioral Screening That Saves Time
Candidates go through skill-based vetting and predictive fit scoring before hitting your inbox. Only those who can code, collaborate, and deliver make the shortlist.
5. Interview Coordination Without the Chaos
Stay focused on evaluating while everything else runs smoothly in the background. Interviews get booked fast, feedback is tight, and learnings from early rounds guide the next batch.
6. Offer and Onboarding Support
Once you’re ready to hire, the offer process is guided end to end. Counteroffers are handled, and your engineer starts strong without last-minute surprises.
Our Trusted Advisors
Sayan Bhattacharya
Managing Director
Bringing over a decade of experience in technology and management, Sayan is known for his dynamic approach. He has a notable history of transforming IT projects, combining extensive management expertise with a passion for technology, marked by his previous roles at global technology leaders.
Arun Krishnakumar
Chief Architect
Accomplished Chief Architect with a proven track record of exceeding revenue targets through innovative, value-driven sales techniques and customer-centric adoption strategies. Skilled at leveraging technical expertise to drive business transformation across diverse industries.
Kurt Vosburgh
Vice President of Sales, Global Technology
Kurt uses strategic insight, optimized solutions, and a collaborative approach to provide talent solution programs to clients, from implementation to support—managing external partnerships and internal delivery teams.
IT Staff Augmentation Showcase
Strategic talent planning for ground-up IT workforce development. MSH helps a leading private equity firm design an integrated talent acquisition process to ensure top-quality candidates and a lean hiring process.
Result
Improved margin while hiring high calibre talent in record time.
12% Reduction In Agency Fees
Lowered Time To Fill By 2+ Weeks
20 New HiresIn 4 Months
Solutions To Help You Recruit, Hire, and Onboard The Right AI Roles
Senior Machine Learning Engineers
Experienced with model development, training, and deployment using tools like Python, TensorFlow, and PyTorch. Great for teams building recommendation engines, fraud detection, or personalization features.
AI DevOps and MLOps Engineers
Engineers who connect research and production by building CI/CD pipelines, automating model workflows, and monitoring performance in real time. Ideal for scaling stable, secure, and repeatable AI delivery.
Computer Vision and NLP Specialists
Experts in image recognition, object detection, OCR, and natural language understanding using transformer models and large language frameworks. Perfect for product features that need real-time understanding.
Data Pipeline and Feature Engineering Experts
Engineers who clean, move, and structure your data so models can actually perform. Often focused on ETL, streaming pipelines, and building features that unlock signal from noise.
Nearshore and Offshore AI Teams
Cross-functional squads made up of software engineers, ML engineers, and PMs who can own a use case end to end. A good fit for orgs that need to launch AI but are still building internal structure.
Flexible Options for Scaling Fast
Staff on contract, contract-to-hire, or build nearshore teams to save on cost and time. All with the option to keep your core team lean while expanding capacity.
Frequently asked questions
Schedule a quick consultation with our AI staffing team. You’ll walk away with clarity on the market, advice on your search, and a clear plan to get the talent you need in the door. No hard sell. Just real help.