DEVOPS Engineer

Must have Skills : Terraform (Capable) Docker (Strong) Python (Strong) TensorFlow LangChain

Responsibilities: - Design develop and deploy machine learning AI solutions. - Collaborate with data scientists software engineers and product managers to integrate AI capabilities into applications. - Operationalize AI and GenAI models ensuring scalability reliability and performance. - Design and implement GenAI solutions on cloud platforms such as Azure and AWS. - Conduct experiments analyze results and iterate on models to improve performance. - Stay current with advancements in AI/ML technologies and best practices. Skills: - Proficiency in cloud platforms such as AWS Azure or Google Cloud. - Experience with infrastructure as code (IaC) tools like Terraform or CloudFormation. - Knowledge of containerization and orchestration tools like Docker and Kubernetes. - Experience with DevOps principles automation and CI/CD - Proficiency in programming languages such as Python - Experience with machine learning frameworks and libraries such as TensorFlow PyTorch or scikit-learn. - Experience in building single agent and multi agent systems (agentic systems) - Experience with genAI orchestration framework such LangChain LangGraphcrewAI etc. - Experience with governance observability and evaluation tools (e.g. langfuse langsmith) - Knowledge of cloud platforms and services for AI/ML including Azure Machine Learning AWS SageMaker and Google AI Platform. - Familiarity with data preprocessing feature engineering and model evaluation techniques. - Understanding of deep learning natural language processing and computer vision. - Strong problem-solving skills and attention to detail. Qualifications: - Bachelors degree in Computer Science Data Science or a related field. - 7 years of experience in Machine Learnig AI related field - Banking Experience is a plus

Remote Work :

No

Employment Type :

Full-time