Machine Learning Engineer

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. Sherlock loves to share $1,000 referral success bonuses! #J-18808-Ljbffr