Data Science_GenaAI Mlops_AssociateManager/Manager
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Summary
Associate Manager/Manager-level data science role focused on GenAI and MLOps: designing, building, and deploying AI solutions in production. Core stack is Python with Pandas, TensorFlow, PyTorch, and Keras, deep learning architectures (CNNs, RNNs, GANs), plus cloud platforms (AWS/GCP/Azure). Based in Hyderabad, Gurugram, or Bengaluru with 7-12 years' experience.
Professional & Technical Skills:
- Relevant experience in the required domain.
- Strong analytical, problem-solving, and communication skills.
- Ability to work in a fast-paced, dynamic environment.
- Proven track record of designing and implementing successful AI solutions in real-world business environments.
- In-depth knowledge of AI architectures, frameworks, and tools.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities, with experience working cross-functionally.
- Demonstrated leadership in driving AI initiatives from conception to deployment.
- Experience in Telecom or Hi Tech or Software and platform industry desirable
- Tools & Techniques:
- Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras.
- Understanding and implemention knowledge of deep learning architectures such as CNNs, RNNs, and GANs.
- Good software engineering practices, including code modularization, documentation, and testing
- Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models.