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 settings, 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.
Solid 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