AI Architect & Machine Learning Developer

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.

Sherlock loves to share $1,000 referral success bonuses!