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    Data & AI Specialists

    Hire Expert Machine Learning Engineers On Demand

    Hire pre-vetted machine learning engineers who build, train, and deploy production models and LLM-powered systems, from data pipelines through serving, monitoring, and continuous evaluation.

    PyTorchTensorFlowHugging FaceMLflowLangChainRay
    50+
    Machine Learning Engineers
    4.9
    Avg. Client Rating
    48h
    Avg. Match Time

    Build Your Team Today

    Tell us your needs — we'll match you within 48 hours.

    No commitment required · Free consultation

    Trusted by global innovators

    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    What They Bring

    Capabilities of Our Machine Learning Engineers

    Our machine learning engineers span classical modeling, deep learning, and modern LLM application development.

    Model Development

    They design and train models in PyTorch or TensorFlow, handling feature engineering, hyperparameter tuning, and evaluation to ship models that generalize beyond the training set.

    LLM and RAG Systems

    They build retrieval-augmented generation pipelines with vector databases, embeddings, and frameworks like LangChain or LlamaIndex, plus prompt engineering and fine-tuning for domain accuracy.

    MLOps and Pipelines

    They automate training and deployment with MLflow, Kubeflow, or SageMaker, versioning data and models so experiments stay reproducible and releases remain auditable.

    Model Serving and Monitoring

    They deploy models behind low-latency APIs using Triton, TorchServe, or KServe, and track drift, latency, and accuracy to trigger retraining when performance degrades.

    How We Work

    Flexible Machine Learning Hiring Options

    Flexible hiring structures designed to fit your timeline, budget, and team dynamics.

    Senior Machine Learning Developers

    Highly experienced engineers who can independently architect, build, and lead data & ai development for your product with minimal ramp-up time.

    • 5+ years of production Machine Learning experience
    • Mentorship & code review capabilities
    • Technical leadership & architecture decisions
    Browse Senior Developers

    Dedicated Machine Learning Teams

    Build a complete, cross-functional Machine Learning data & ai team — developer, QA, and tech lead — fully dedicated to your product roadmap.

    • 2-8 engineers, fully integrated
    • Sprint-based agile delivery
    • Scales up or down as needed
    Build a Dedicated Team
    Simple Process

    How to Hire Machine Learning Engineers

    We've simplified developer hiring so you can focus on building — not sourcing.

    1

    Share Your Requirements

    Tell us your tech stack, team size, timeline, and project scope via a quick intake form.

    2

    Review Matched Profiles

    Receive 3-5 curated developer profiles from our vetted Machine Learning talent pool within 48 hours.

    3

    Interview & Select

    Conduct technical interviews with shortlisted candidates. We facilitate everything.

    4

    Onboard & Build

    Your developer is fully onboarded and integrated with your team — ready to ship from day one.

    What Our Clients Say

    We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.

    Benchmark

    I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly.

    Aaron Phelan

    Aaron Phelan

    Founder, Benchmark

    Latimer

    Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective.

    John Pasmore

    John Pasmore

    Founder, Latimer

    My Lauren

    Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together.

    Kim Smith

    Kim Smith

    Founder, My Lauren

    Frequently Asked Questions

    Yes. They apply techniques like LoRA and QLoRA for parameter-efficient fine-tuning, prepare and clean instruction datasets, and evaluate results against baselines to confirm the model improves on your tasks.

    Ready to hire Machine Learning Engineers?

    Tell us what you're building and we'll match you with pre-vetted machine learning engineers within 48 hours.

    Email

    contact@agnotic.com

    Partnerships

    contact@agnotic.com