Software, AI/ML Engineer

📋 Description

• Contribute to end-to-end data science projects across diverse datasets to deliver insights.
• Build and deploy machine learning solutions, including predictive models and generative AI apps.
• Manage the full MLOps lifecycle: CI/CD, monitoring, governance on cloud (GCP).
• Serve as a technical contributor on client engagements, supporting pre-sales and delivery.
• Translate complex model results into clear business value via reports and demos.
• Help establish an AI/ML center of excellence with SOPs, accelerators, and sales assets.

🎯 Requirements

• Python, TensorFlow, Keras, SciKit-Learn, PyTorch; SQL; Shell Scripting.
• Data Engineering: ETL/ELT pipelines, Vector DBs, Relational/Graph/NoSQL DBs, Warehouses.
• Generative AI: LLMs, Prompt Engineering, Tuning, RAG; agentic development (LangChain, Google ADK).
• MLOps: CI/CD pipelines, monitoring, deployment, Docker, retraining pipelines, model versioning.
• Google Cloud / Vertex AI ecosystem (Vertex AI, BigQuery, Pub/Sub, Cloud Storage).
• Kubernetes, Looker, Graph Data Science experience.
• Bachelor's degree in Computer Science / related field or equivalent work experience.

🎁 Benefits

• Culture that sparks innovation and supports professional growth.
• Opportunity to work on impactful AI/ML projects across client engagements.
• Equal opportunity employer with inclusive hiring practices.