AI ML Engineer

Job Title

Model Development: Design, develop, and deploy machine learning models using the Tachyon platform.

Data Engineering: Prepare and preprocess data for model training.

Pipeline Development: Build robust data and ML pipelines for efficient model workflows.

Model Training & Tuning: Train and fine-tune machine learning models, optimizing for latency and throughput.

AI Workflow Documentation: Develop playbooks and templates for AI workflow automation.

Deployment & Integration: Collaborate with engineers for efficient deployment and integration of models into applications.

Monitoring & Improvement: Implement continuous monitoring of models to track performance, data drift, and model reliability.

5+ years of experience in machine learning, especially in NLP, generative AI, and model deployment.

Expertise in TensorFlow, PyTorch, or scikit-learn.

Experience with cloud platforms (AWS, GCP, Azure) and Kubernetes for AI workload scaling.

Familiarity with MLOps, SQL, and big data frameworks (Hadoop, Spark).