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Artificial Intelligence

Artificial Intelligence

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Artificial Intelligence

Artificial Intelligence (AI) is transforming how the world works. From predictive analytics and automation to generative models and intelligent decision-making, AI is powering smarter, faster, and more efficient ways of doing business.

Leading innovators like OpenAI, Anthropic, DeepMind, Nvidia, and Microsoft are redefining what’s possible with AI, driving demand for the talent that makes it all happen.

At Amicus, we connect visionary companies with exceptional AI & Machine Learning professionals across roles such as Machine Learning Engineers, Data Scientists, MLOps Engineers, and Product or Growth specialists.

Whether you’re building the future of AI or ready to join it, our specialist team is here to help you make it happen.

Building an AI team isn't easy

If you’re building in AI right now, you already know how tough it is to find the right people.

The market moves fast, the tools change weekly, and genuine expertise is in short supply.

Whether you’re scaling a new product or embedding AI across your business, hiring the right talent can make or break your product momentum.

You will face challenges:

  • Talent shortages – great AI engineers, data scientists, and MLOps experts are incredibly hard to find

  • Constant change – the tech evolves faster than most teams can adapt

  • Heavy competition – global companies are chasing the same talent you are

  • Cultural fit – technical brilliance doesn’t always translate to product impact

To stay ahead, you need more than just access to candidates, you need a strategy.

The teams winning in AI are the ones that position their mission clearly, streamline hiring, and create environments where top talent can actually thrive.

Get that right, and you’ll build a team that thrives.

Roles we can help with

From cutting-edge start-ups to global enterprises, we partner with organizations building world-class AI teams. Our expertise spans both technical and commercial functions, helping you find the specialists who turn data into innovation.

Typical roles include:

  • Machine Learning Engineer

  • Data Scientist

  • Deep Learning Engineer

  • AI Research Scientist

  • NLP Engineer

  • Computer Vision Engineer

  • MLOps Engineer

  • Data Engineer

  • AI Product Manager

  • AI Solutions Architect

  • AI/ML Consultant

  • AI Software Engineer

  • Product Marketing Manager (AI)

  • Growth & Strategy Lead (AI)

  • Director of AI

Take a look at our free guide, giving you a clear blueprint for building a high-performing AI team.

Key skills & technologies

Our network covers a wide range of AI-focused tools, frameworks, and platforms across the full development lifecycle:

Core Languages & Frameworks:
Python, R, Julia, TensorFlow, PyTorch, Keras, Scikit-learn, JAX

Data & Engineering:
SQL, Spark, Databricks, Hadoop, Airflow, Kafka, Data Lakehouse, Snowflake

MLOps & Deployment:
Docker, Kubernetes, MLflow, SageMaker, Vertex AI, Azure ML, CI/CD pipelines

Specialized Areas:
Natural Language Processing (NLP), Computer Vision, Generative AI, Reinforcement Learning, LLM fine-tuning, Predictive Analytics

Cloud & Infrastructure:
AWS, GCP, Azure, OpenShift, Terraform

Other Key Tools:
LangChain, Hugging Face, Weights & Biases, Ray, FastAPI, Streamlit

Struggling to find the best AI talent in the US?

You're not alone.

Amicus can help, get in touch today!