8 open positions
Showing 1-8 of 8 matching jobs.
Role Description: Design, develop, and deploy Agentic AI systems using state-of-the-art Gen AI frameworks. Build autonomous agents capable of reasoning, planning, and executing tasks across business domains. Integrate Gen AI solutions with enterprise systems and APIs. Ensure scalability, reliability, and performance of AI agents in production environments. Collaborate with internal stakeholders to understand business goals and translate them into AI capabilities. Maintain documentation and provide knowledge transfer as needed Show more Show less
Key Responsibilities 2. ML & Data Engineering 3. CI/CD for ML (MLOps) 4. Automation & Scripting 5. DevOps & Containerization 6. Monitoring & Observability 7. Security & Compliance 8. Data Science Fundamentals Cloud Platform Services (GCP) Hands-on experience with GCP services: Vertex AI, BigQuery, Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud Build, Cloud Run, Airflow. Platform visibility with Element Platform tools (if applicable). Solid understanding of ML workflows and LLM concepts (training, validation, hyperparameter tuning). Hands-on with TensorFlow, Keras, PyTorch, scik...
We are looking for an AI Engineer with expertise in AWS Bedrock and Python to design, develop, and deploy machine learning models. You?ll work with cross-functional teams to integrate AI into products, optimizing performance and scalability in cloud environments. Key Responsibilities:? Strong experience using AWS Bedrock and Python.? Collaborate with data scientists and engineers to integrate AI capabilities.? Optimize and deploy machine learning models on AWS.? Stay updated on AI technologies and best practices.? Maintain documentation for models and processes.? Experience with machine lear...
Gen AI Backend Engineer profile with focus on following areas: Excellent Knowledge of Python, Kubernetes Experience in Data Engineering - Azure Data Bricks, Data Ingestion Pipelines, Delta Tables, workflows Experience in LangChain/LangGraph/RAG - writing applications where LLM decides the control flow and MCP Knowledge of AKS, APIM, Azure Service Bus and MongoDB Show more Show less
" Azure Machine Learning" Azure OpenAI Service" Azure Cognitive Services" Azure Data Factory" Azure Data Lake Storage" Azure Synapse Analytics" Azure Kubernetes Service (AKS)" Azure DevOps" Azure Functions" Azure Monitor & Application Insights" Azure Cognitive Search Essential Skills " 3+ years of experience in AI/ML development, focusing on generative models (e.g., transformers, diffusion models, GANs). " Proficiency with Python and relevant ML/DL frameworks (PyTorch, TensorFlow, Hugging Face Transformers, etc.). " Hands-on experience with Microsoft Azure, including Azure Machine Learning, ...
Role Description The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be familiar with python development and prompt engineering. The candidate should be able to work with different Clients/SME's and understand the business requirements proper python code development. Good candidate should be familiar with ongoing monitoring. Contribute to development and maintenance of the python library. Contribute to the support of the library. Participate in prompt engineer...
Strong experience using AWS Bedrock and Python Collaborate with data scientists and engineers to integrate AI capabilities. Optimize and deploy machine learning models on AWS. Stay updated on AI technologies and best practices. Maintain documentation for models and processes. Experience with machine learning frameworks. Experience: 2-5 years in AI/ML development and cloud deployments. Show more Show less
Role Description: Backend developer to build and orchestrate scalable AI-powered chatbot applications. The role involves developing robust APIs, integrating ML models, and ensuring high performance & security of the backend infrastructure. Competencies: Digital : Microsoft Azure Show more Show less