Key Responsibilities

- Lead the implementation and delivery of AI and Generative AI applications.
- Design end-to-end AI systems using commercial and open-source tools.
- Translate business requirements into scalable AI-driven solutions.
- Collaborate with data engineering teams to ensure data quality, governance, and smooth data flows.
- Define reference architectures, technical roadmaps, and best practices for AI applications.
- Design and manage data ingestion pipelines, model training environments, CI/CD, and monitoring systems.
- Use containerization and cloud services to deploy and scale AI systems.
- Ensure scalability, reliability, security, and maintainability of AI solutions.
- Provide technical mentorship and conduct knowledge-sharing sessions.

Requirements

- 5+ years of experience in AI, Machine Learning, or related roles.
- Strong experience building AI agents using LangGraph, AutoGen, or CrewAI.
- Proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, Keras.




- Solid understanding of Deep Learning and NLP (RNN, CNN, LSTM, Transformers).
- Experience with cloud platforms (AWS, Azure, or GCP) for AI deployments.
- Robust knowledge of distributed systems, REST APIs, GraphQL, and microservices.
- Familiarity with event-driven architectures and message brokers (Kafka, RabbitMQ).

Good to Have

- Experience with Docker, Kubernetes, and CI/CD tools (Jenkins, GitLab).
- Knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra).
- Experience with Infrastructure as Code (Terraform, CloudFormation).
- Hands-on exposure to Hugging Face, OpenAI APIs, and other LLM tools.
- Experience with MLOps / LLMOps, model training, and fine-tuning (GPT-4, LLaMA, PaLM).
- Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK).

📌 Lead GenAI Engineer (Bengaluru)
🏢 Ascendion Engineering
📍 Bengaluru