ML/AI Engineer

Key Responsibilities

• Design, train, evaluate, and deploy ML models and AI/LLM-based solutions into
• production
• Build and maintain ML pipelines for training, evaluation, versioning, and serving (MLOps)
• Develop and integrate agentic workflows and LLM-powered applications (e.g., RAG
• systems, tool-using agents)
• Monitor model performance in production (drift, latency, cost, and quality) and iterate
• accordingly
• Collaborate with data engineers to define data requirements and ensure ML-ready
• datasets
• Partner with product and engineering teams to translate business problems into ML/AI
• solutions
• Uphold responsible AI practices: model evaluation, bias/safety checks, and governance
• standards

Core Skills & Technologies

• Programming
• Python, SQL
• Experience with ML frameworks (PyTorch or TensorFlow)
• Cloud Platforms
• Google Cloud Platform (GCP)
• Microsoft Azure
• ML/AI Platforms & Tools
• Vertex AI
• BigQuery ML
• Azure Machine Learning
• LLM / Generative AI
• Experience with LLM APIs (e.g., Gemini, OpenAI, Anthropic)
• Experience with Agent Development Kit (ADK) or similar agent frameworks
• Familiarity with RAG architectures and vector databases
• Model Development & Evaluation
• Experience with the full ML lifecycle: training, evaluation, tuning, deployment
• Familiarity with prompt engineering and LLM evaluation techniques
• Understanding of model monitoring, drift detection, and retraining triggers
• MLOps & Infrastructure
• CI/CD for ML pipelines
• Model versioning and experiment tracking (e.g., MLflow, Vertex AI pipelines)
• Containerized deployment (Docker, Kubernetes)
• Infrastructure as Code (e.g., Terraform) is a plus

Nice to Haves

Languages

What We Offer

• Competitive and performance-aligned compensation package.
• Clear opportunities for long-term professional growth and strategic career development.
• A high-trust, collaborative environment with a strong ownership culture.
• Direct exposure to business decision-making with an opportunity to make a meaningful impact.

In Addition, We Provide