“DJ is phenomenal. They find amazing candidates, make hiring extraordinary devs easy. Think of it as having a top recruiter, HR, and payroll departments in dozens of countries.”
Get a curated shortlist of senior NumPy/Python engineers in 2 weeks. We headhunt and place full-time remote talent (not freelancers) with reliable U.S./Canada time-zone overlap. We handle contracts, payroll, and compliance.
Andres
Recruitment Expert
Verified
Arrays & memory: dtypes, strides, views vs copies, broadcasting rules, vectorization patterns.
Performance: profiling (line & mem), Numba nopython mode, Cython cdef/typed memoryviews, parallelism, SIMD-friendly code.
Interoperability: pandas, Arrow, Parquet, SciPy stack, scikit-learn feature prep.
Numerics: stability & precision, accumulation/overflow pitfalls, random seeding, reproducibility.
Tooling: virtual env/Poetry, CI/CD (GitHub Actions), containers, logging/metrics.
Remote-readiness: clear async writing, soft skills, dependable U.S./Canada overlap.
Elena
Senior NumPy/Python
Elena specializes in vectorized time-series pipelines, speeds up code with Numba and MKL, and works fluently across pandas/Arrow. She’s cut p95 CPU on ETL jobs and ships clean, tested code.
Joan
Scientific Python engineer
Joan handles linear-algebra–heavy workloads, writes performant Cython extensions, and scales data with Dask for chunked arrays—backed by a robust PyTest suite.
Mateo
ML/Inference engineer
Mateo builds fast NumPy feature transforms, packages models behind FastAPI, and manages ONNX export with production monitoring for reliable, low-latency inference.
Testimonials
As a leading remote IT recruitment agency, we care that our clients take part throughout the hiring process. Why? Because for us, hiring a qualified candidate is not only about the skills and abilities, but it’s also about how candidates match with your company’s culture.
As soon as you talk with us or fill our form, the first thing we do is analyze your company. We want to understand your culture and the type of people you value working with.
In 2 weeks, you’ll start reviewing people that match your requirements. We focus on providing you 3-5 top candidates instead of giving you an endless list.
Once you select the candidate, we handle all the contracts, NDA’s and payments from day 1.
We proactively source across global markets and triage applicants based on their expertise, salary band, U.S. time-zone overlap, English fluency, and long-term availability.
A recruiter assesses English proficiency, async communication, culture add, motivation, and availability. We verify work history and stability (no serial short stints).
Timed, practical exercises
Senior engineers run a live session vetting their skills.
We speak with past stakeholders and review code artifacts where possible. We confirm achievements, ownership level, and reliability in distributed teams.
We align on start date, hardware/security constraints, preferred collaboration tools, and, when needed, relocation logistics inside the US.
Model | Best For | What You Get | Trade-offs |
---|---|---|---|
DistantJob (Placement) | Long-term ownership | Full-time NumPy/Python dev in your team; U.S. overlap; HR handled | Not for one-off gigs |
Outsourcing agency | Managed project | Vendor team delivers scope | Less control, vendor IP/process |
Marketplace/freelancers | Short tasks | Fast, flexible | Turnover; you manage vetting/compliance |
Job boards/DIY | Big applicant pools | Control | Slow; heavy screening work |
No. We place full-time remote employees who work in your repos and rituals.
Most teams onboard a NumPy developer in 2–4 weeks.
Yes, the shortlists prioritize dependable overlap and strong async communication.
Yes: global contracts, NDA, payroll, benefits, and compliance are included.
Ready to hire the best developers, 40% faster than the industry average? Give us your email, and our account manager will get in touch ASAP!
When you partner with DistantJob for your next hire, you get the highest quality developers who will deliver expert work on time. We headhunt developers globally; that means you can expect candidates within two weeks or less and at a great value.
Increase your development output within the next 30 days without sacrificing quality.