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.
Key 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!
