Design and develop GenAI models, deploy and scale AI solutions using cloud platforms, and implement LLMOps best practices.
Job Role and Responsibilities:
- Proficiency in Python and its ML libraries (TensorFlow, PyTorch, Keras, Scikit-learn, etc.).
- Experience with other languages/tools like SQL, Pandas, NumPy, and data manipulation libraries.
- Design and Develop GenAI Models: Leverage language models like GPT3.5, GPT4, Gemini, Llama, or custom Transformer-based models for generative tasks such as text generation, summarization, question-answering ,RAG and chatbots.
- Use frameworks such as Langchain or similar to develop applications that require complex chains of prompts, manage multiple LLM calls, and integrate with external tools or APIs for data retrieval and processing.
- Deploy and scale deep learning and GenAI models using cloud platforms (AWS SageMaker, Google Cloud AI, Azure ML).
- Set up observability tools (Langsmith, Weights and Biases etc) in GenAI applications. Monitor model behavior, understand errors, and fine-tune the application in production.
- Experience in LLMOps practices, including version control (Git), CI/CD pipelines for GenAI models, and experiment tracking with tools like MLflow, Kubeflow, or W&B.
- Strong understanding of deep learning frameworks like TensorFlow, PyTorch, and Keras.
- Experience with neural network architectures like CNNs, RNNs, LSTMs, GANs, and Transformers.
- Experience with data pipelines, data preprocessing techniques, and large-scale datasets.
- Knowledge of big data technologies like Hadoop, Spark, and distributed computing.
- Experience with cloud services for AI/ML (AWS SageMaker, GCP AI, Azure ML).
- Familiarity with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for AI deployment.
Experience - 5 to 7 Years
Location – Bengaluru
Work Mode - Hybrid
Notice Period - 0 to 15 Days
Top Skills
Aws Sagemaker
Azure Ml
Docker
Google Cloud Ai
Hadoop
Keras
Kubeflow
Kubernetes
Langchain
Mlflow
Numpy
Pandas
Python
PyTorch
Scikit-Learn
Spark
SQL
TensorFlow
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
