AI Architect & Machine Learning Developer

SherlockTalent; Miami (FL); Hybrid; USD 162,000 - 198,000; Full time

Benefits offered by this job

Competitive compensation

Flexible engagement options

Access to a global network

Job summary

A leading AI solutions firm seeks an AI Architect & Machine Learning Developer to design and deploy innovative AI solutions. This role includes architecting end-to-end AI pipelines and collaborating with cross-functional teams. The ideal candidate has a degree in Computer Science and proficiency with ML frameworks. Competitive compensation and a flexible work model are offered.

Qualifications

• Proficiency with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and programming languages like Python or Golang.
• Experience with MLOps tools (Kubeflow, MLflow, Jenkins) and version control (Git).
• Familiarity with big data (Spark, Hadoop, Kafka) and both SQL/NoSQL databases.

Responsibilities

• Architect & Implement end-to-end AI pipelines, ensuring robust data ingestion, model training, and deployment.
• Collaborate with cross-functional teams (Data Science, DevOps, Product) to deliver impactful AI solutions.
• Stay Current on emerging AI trends and best practices.

Skills

Proficiency with ML frameworks

Strong problem-solving skills

Familiarity with big data

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Git

Job description

Overview

Job Title: AI Architect & Machine Learning Developer for Cloud Native AI Solutions
Location: Multiple Locations (Remote or Onsite Options Available)
Job Type: Full-Time or Contract
Salary: From $180K DOE + Great Benefits
Job ID: 7337

SherlockTalent is working with an esteemed client on the forefront of AI innovations to fill this AI Architect & Machine Learning Developer role. The selected individual will design and deploy advanced AI solutions—from robust data pipelines to production-ready ML models.

Responsibilities

• Architect & Implement end-to-end AI pipelines, ensuring robust data ingestion, model training, and deployment.
• Design scalable infrastructure using containers (Docker, Kubernetes) and cloud platforms (AWS, GCP, or Azure).
• Automate CI/CD pipelines for efficient testing, deployment, and monitoring of ML models.
• Collaborate with cross-functional teams (Data Science, DevOps, Product) to deliver impactful AI solutions.
• Stay Current on emerging AI trends and best practices (GPU/TPU acceleration, distributed computing, etc.).

Qualifications

• Bachelor’s or Master’s in Computer Science, Engineering, or related field.
• Proficiency with ML frameworks (TensorFlow, PyTorch, Scikit-learn) and programming languages like Python or Golang.
• Experience with MLOps tools (Kubeflow, MLflow, Jenkins) and version control (Git).
• Familiarity with big data (Spark, Hadoop, Kafka) and both SQL/NoSQL databases.
• Strong problem-solving skills and passion for large-scale AI challenges.

Why Join

• Contribute to innovative AI projects shaping multiple industries.
• Enjoy competitive compensation and flexible engagement options.
• Access a global network of like-minded professionals and continuous learning opportunities.

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