HYDERABAD · FULLTIME
Associate Principal - AI Engineering

LTM
Hyderabad · onsite · Posted 2d ago
Sourced from
Undisclosed12–17 yrsfulltimeHyderabad
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Section · 01
About this role
Job Summary
Role: AI Tech Lead / Associate Director. Experience: 12 years. Location: Bengaluru, Hyderabad. Technologies include LangGraph AutoGen, CrewAI, Python, TensorFlow, PyTorch, Keras, Deep Learning, NLP, Cloud, Docker, Kubernetes, IaC, SQL, NoSQL, APIs, and Microservices.
Key Skills
- LangGraph AutoGen
- CrewAI
- Python
- TensorFlow
- PyTorch
- Keras
- Deep Learning
- NLP
- Cloud
- Docker
- Kubernetes
- IaC
- SQL
- NoSQL
- APIs
- Microservices
Experience & Location
- Experience: 12 years
- Locations: Bengaluru, Hyderabad
Responsibilities
- The ideal candidate should have a strong background in working or developing agents using langgraph autogen and CrewAI
- Proficiency in Python with robust knowledge of machine learning libraries and frameworks such as TensorFlow, PyTorch, and Keras
- Understanding of Deep learning and NLP algorithms (RNN, CNN, LSTM, Transformers architecture, etc.)
- Proven experience with cloud computing platforms (AWS, Azure, Google Cloud Platform) for building and deploying scalable AI solutions
- Hands-on skills with containerization (Docker) and orchestration frameworks (Kubernetes) including related DevOps tools like Jenkins and GitLab CI/CD
- Experience using Infrastructure as Code (IaC) tools such as Terraform or CloudFormation to automate cloud deployments
- Proficient in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra) to manage structured and unstructured data
- Expertise in designing distributed systems, RESTful APIs, GraphQL integrations and microservices architecture
- Knowledge of event-driven architectures and message brokers (RabbitMQ, Apache Kafka) to support robust intersystem communications
- Familiarity with open source model libraries such as Hugging Face Transformers and OpenAI API integrations
- Experience with large-scale deployment of ML projects with good understanding of DevOps, MLOps, LLM Ops; training and fine-tuning of Large Language Models or SLMs (PaLM2, GPT4, LLama)
- Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack) to ensure system reliability and operational performance
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
PostgresqlCloud ComputingApacheOpen sourceMonitoringPythonMongoDBSQLDistribution SystemMachine Learning