Salary 💰 $104,000 - $170,000 per year
Tech Stack Azure Cloud Docker Google Cloud Platform Java Kubernetes Python PyTorch Scala Scikit-Learn Spark Tensorflow
About the role Design, build, and deploy scalable AI/ML applications across multiple banking domains. Collaborate with cross-functional teams to identify and deliver AI/ML use cases. Implement and manage ML pipelines using MLOps tools (e.g., Vertex AI Pipelines, Kubeflow, MLflow). Develop and optimize models using frameworks such as TensorFlow, PyTorch, scikit-learn, or Spark ML. Apply advanced GenAI techniques, including RAG, fine-tuning, LLM evaluation, and monitoring. Build intelligent agents using frameworks like LangChain, CrewAI, or similar. Ensure robust deployment using containerization (Docker, Kubernetes) and CI/CD best practices. Leverage cloud platforms (preferably GCP) for scalable AI/ML solutions. Apply Agile, DevOps, and CI/CD best practices including automation and monitoring. Maintain code quality, documentation, and performance across the full development lifecycle. Ensure alignment with technical, data, and security standards. Requirements Bachelor’s degree in Engineering, Computer Science, or related technical field (or equivalent practical experience) 5+ years in software development with strong knowledge of data structures and algorithms 3+ years in machine learning, AI, deep learning, or NLP using tools like TensorFlow or PyTorch 3+ years in software design, architecture, testing, and product launch 3+ years working in complex, matrixed environments with cross-functional teams Experience with GenAI and agent-based AI solutions. Programming: Python, R, Scala, Java Platforms: GCP, Azure Tools: Vertex AI, MLflow, Kubeflow, ADK, LangChain Practices: MLOps, LLMOps, ML lifecycle integration Infrastructure: Docker, CI/CD, test automation, monitoring Modeling: Predictive modeling, GenAI use cases, Agentic AI Knowledge Areas: Google AI/ML portfolio, ML infrastructure implementation, AI/ML use case development and deployment across domains Competitive portfolio of benefits to its employees Copy Applicant Tracking System Keywords Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills machine learning artificial intelligence deep learning natural language processing data structures algorithms predictive modeling GenAI programming software design
Soft skills collaboration cross-functional teamwork communication problem-solving adaptability leadership organizational skills attention to detail critical thinking time management
Certifications Bachelor’s degree in Engineering Bachelor’s degree in Computer Science MLOps certification AI/ML certification