What are the best companies to hire remote AI and ML engineers from India in 2026?
Updated July 8, 2026 with 2026 provider positioning, pricing sourced from each provider (or marked "pricing on request"), and current F5 AI/ML rates.
A managed remote workforce company places engineers as full-time exclusively assigned hires under a single weekly rate that includes salary, benefits, equipment, and account management. India holds the largest AI/ML talent pool in the world, with the Stanford AI Index noting India as a leading source of AI skills penetration on LinkedIn for several years running. The choice between vendors comes down to engagement model, pricing transparency, and how much hiring risk you want to keep in-house.
One distinction matters before you compare vendors. This roundup is about AI/ML engineers who build models - LLM fine-tuning, RAG pipelines, computer vision, MLOps. That is a different role from an AI specialist who operates AI tools to run marketing, operations, and support. If you need the latter, read the companion best companies to hire remote AI specialists roundup. Everything below is about hiring engineers who build AI.
Why India for AI/ML hiring in 2026
India graduates more STEM students each year than any other country and produces over 416,000 AI specialists annually according to the NASSCOM AI Adoption Report. IIT Bombay, IISc Bangalore, IIIT Hyderabad, and BITS Pilani feed a pipeline of engineers trained on PyTorch, TensorFlow, and modern transformer architectures. The LinkedIn AI Talent Report ranks India first globally on AI talent concentration growth at 263 percent over five years.
Cost remains the second driver. A senior AI/ML engineer in the U.S. commands total compensation well into six figures, especially in major hubs, and the Bureau of Labor Statistics reports strong, above-average wage growth for computer and information research roles through the decade. The same seniority through F5 Hiring Solutions in Pune or Rajkot costs $31,200 to $54,600 per year all-inclusive - well below the cost of a U.S. in-house hire once benefits and recruiting fees are counted. See the AI engineer cost breakdown, India vs USA for the full comparison.
How did we evaluate these AI/ML engineer companies?
Five criteria drove the comparison: model type (managed workforce, vetted network, or marketplace), pricing transparency, vetting depth, time to hire, and replacement policy. Pricing transparency is a real 2026 differentiator, because most vetted networks now quote only on request while the marketplaces publish rates. F5 appears as one credible option, not an automatic winner - the right choice depends on whether you want a full-time managed engineer or a self-serve contractor.
Six companies compared side by side
| Company | Weekly cost (USD) | Engagement model | Time to hire | Best for |
|---|---|---|---|---|
| F5 Hiring Solutions | $600–$1,050 all-inclusive | Full-time exclusively assigned, managed | 7-14 business days | Funded startups, mid-market product teams |
| Toptal | Pricing on request | Elite freelance network | 48-72 hours match | Short projects, audits, prototypes |
| Turing | Pricing on request | AI-vetted developer platform | Days to a few weeks | Volume hiring, US-hours overlap |
| Andela | Pricing on request | AI engineering services, blended teams | 2-4 weeks | Production AI work, enterprise teams |
| Arc.dev | $15–$110+/hour (public) | Self-serve remote marketplace | 1-3 weeks | Founders who want to interview directly |
| Upwork | ~$30–$150/hour (public) | Freelance marketplace | Days (self-serve) | Project work and lowest entry cost |
| Who should NOT use F5 | - | - | - | Sub-15 hour gig work, single weekend audits, or teams that want to manage payroll and equipment themselves |
F5 Hiring Solutions
F5 Hiring Solutions is a managed remote workforce company founded in 2017 by Joel Deutsch, headquartered in Brooklyn, New York, with delivery hubs in Pune and Rajkot, India, and Manila, Philippines. F5 draws from 85,500+ candidates in our internal sourcing and screening database and reports 250+ companies served since inception with a 95% client retention rate, measured as clients who continue beyond the first 3 months.
For AI/ML roles the all-inclusive weekly rate runs $600–$1,050, covering engineer salary, statutory benefits, laptop and equipment, internal HR, payroll, compliance, and an account manager. Across all roles, F5's canonical pricing is $375–$1,200 per week, all-inclusive; AI/ML engineers sit in the upper band. Delivery is 7 to 14 business days from the kickoff call, and if a placement does not work out, replacement is 7-14 days, zero cost, anytime. Engineers work full-time exclusively assigned to one client, not split across accounts.
Strengths: predictable single line-item billing, no recruiter fees, and direct contact with founder Joel Deutsch on commercial questions. Time zone coverage adapts to US Eastern, Central, Pacific, or hybrid hours. For scope and rate detail, see remote AI/ML engineer cost, India vs USA and the AI/ML engineers hiring page.
Weaknesses: minimum engagement is one full-time engineer, so teams that need 10 hours per week of advisory work should look elsewhere. F5 does not place onshore US engineers and does not offer hourly billing.
Toptal
Toptal is a premium freelance network founded in 2010. Per its own developer page, Toptal states that fewer than 3 percent of the more than 200,000 people who apply each year make its network - a self-reported figure. It excels at senior fractional help, such as a staff ML engineer for a six-week architecture push, with matches typically within 48 to 72 hours.
Pricing: on request. Toptal publishes no rate card; cost is quoted by a talent matcher after a discovery call. Toptal handles invoicing and offers an initial trial period.
Strengths: fast turnaround, a genuine bench of vetted engineers, and a brand procurement teams recognize.
Weaknesses: engineers are independent contractors who often work for multiple clients in parallel, and long-term commitments lose the cost advantage versus managed models. Toptal does not provide equipment, statutory benefits, or local employment compliance.
Turing
Turing matches developers using an algorithmic vetting platform with US-hours overlap from India and Latin America. In 2026 a growing share of Turing's business is paying domain experts to train and evaluate large language models alongside client developer hiring.
Pricing: on request. Turing's hire page publishes no client rate card, only relative claims such as matches at "often half the cost." Any dollar figures shown elsewhere on its site are pay rates for AI-training projects, not developer-hiring prices.
Strengths: a large vetted bench, fast turnaround, and explicit US-hours scheduling, with heavy investment in AI/ML matching.
Weaknesses: engineers are contractors, and reviews on G2 and Trustpilot mention inconsistent quality between matched candidates. Replacement is platform-mediated, not concierge-managed, and Turing's strategic energy is visibly shifting toward AI data and evaluation work.
Andela
Andela began as an Africa-focused engineering talent network. In 2026 it has moved well past the marketplace phase and now positions as an AI engineering services company - deploying engineers to build production AI and assemble blended global teams rather than simply renting vetted profiles. Positioning and reviews are corroborated on its Clutch profile.
Pricing: on request. Andela publishes no rate card; engagements are custom and quoted through a discovery process.
Strengths: an enterprise sales motion with formal contracting, blended teams spanning Africa, LatAm, and other regions, and a services layer aimed at production AI delivery.
Weaknesses: the earlier "Andela engineer" identity has weakened as the company shifted toward services and blended teams. Talent is contracted through Andela, so buyers should clarify whether they are hiring one exclusively assigned engineer or a slice of a managed team.
Arc.dev
Arc.dev is a self-serve remote developer marketplace that lets clients browse profiles, message engineers directly, and hire on a contractor or full-time basis. It is the transparency outlier in this list.
Pricing: public. Per Arc's pricing page, freelance developers list $15–$110+ per hour, and full-time placements carry a fee of 20 percent of first-year salary.
Strengths: low friction for founders who want to interview multiple candidates themselves, transparent profiles, and a HireAI feature that uses semantic search to filter candidates.
Weaknesses: vetting is lighter than a concierge network, so the buyer carries more screening burden. There is no managed employment, equipment, or compliance layer, and replacement means renegotiating rather than calling a single account manager.
Upwork
Upwork is the largest freelance marketplace, with self-serve access to AI and machine learning freelancers on hourly or fixed-price contracts. It is the lowest-friction way to test the category before committing to a full-time hire.
Pricing: public. Upwork's own AI engineer hiring pages list freelancers at roughly $30 to $150 per hour, freelancer-set, with payment protection built into the platform.
Strengths: the lowest entry cost, a huge pool, and fast self-serve hiring for well-scoped project work.
Weaknesses: everything is do-it-yourself - vetting, management, quality control, and continuity are on you. Freelancers typically juggle multiple clients, so a single full-time, exclusively assigned engineer is not guaranteed, and for ongoing model work the management overhead often outweighs the low hourly rate.
Who Each Option Is Best For
F5 Hiring Solutions fits funded startups and mid-market teams that want a single weekly invoice, full-time exclusively assigned engineers, and no in-house HR or compliance overhead. Companies hiring one to fifteen AI/ML engineers see the best fit.
Toptal fits short engagements under three months, prototype builds, and audit work where senior expertise and brand recognition matter more than monthly cost.
Turing fits volume hiring of contractor engineers across common stacks where the buyer accepts variable quality in exchange for fast matching.
Andela fits enterprises investing in production AI work that want a services partner and blended teams rather than a single full-time exclusively assigned hire.
Arc.dev and Upwork fit technical founders who enjoy interviewing engineers directly and want to manage the relationship themselves, with Upwork the cheaper self-serve floor and Arc.dev the more curated pool.
Bottom Line
India holds the largest AI/ML engineering talent pool in 2026, and the cost gap versus U.S. hiring remains large. The right vendor depends on engagement length and how much hiring risk you want off your plate. A practical 2026 tell is pricing transparency: the vetted networks quote only on request, while F5 and the marketplaces publish real rates. F5 Hiring Solutions offers the simplest commercial model for full-time exclusively assigned AI/ML engineers at $600–$1,050 per week, all-inclusive, with 7 to 14 day delivery and 95 percent retention. For a broader cost view, see how much managed remote staffing costs or the F5 vs Turing comparison.
Book a discovery call with Joel Deutsch.