IN_Senior Associate_Python/Gen AI_AI In Delivery_Advisory_Bangalore
Price Waterhouse Coopers · Bengaluru · onsite · Posted 53d ago
Not disclosed4–7 yrsfulltimeSourced from
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About this role
- Responsibilities:
- Design, develop, and implement generative AI models (e.g., GANs, VAEs, Transformers) for various applications such as text, image, audio, or video generation.
- Build scalable Python pipelines for training, fine-tuning, and deploying large language models and other generative architectures.
- Collaborate with data scientists, ML engineers, and product teams to integrate AI models into products and platforms.
- Optimize model performance, including speed, accuracy, and resource consumption.
- Conduct experiments to improve model robustness and creativity.
- Stay up-to-date with the latest research in generative AI and incorporate new techniques into our stack.
- Write clean, maintainable code and maintain proper documentation.
- Mentor junior engineers and contribute to code reviews.
- Mandatory skill sets
- Strong proficiency in Python programming and related AI/ML libraries (TensorFlow, PyTorch, Hugging Face Transformers, etc.).
- Solid understanding of generative models such as GANs, VAEs, autoregressive models, and diffusion models.
- Experience with training and fine-tuning large language models.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker/Kubernetes.
- Knowledge of data preprocessing, augmentation, and handling large datasets.
- Experience implementing end-to-end AI model deployment pipelines.
- Ability to write efficient, optimized code and profile AI workloads.
- Preferred skill sets
- Experience with prompt engineering and working with large-scale LLMs (e.g., GPT, T5, BERT).
- Knowledge of reinforcement learning or unsupervised learning techniques.
- Familiarity with MLOps and CI/CD tools for model deployment.
- Years of experience required
- 4-7 Yrs experience
- Education Qualification
Sourced from foundit
Skills
efficient optimized codeend-to-end AI model deployment pipelinesDockerKubernetesPrompt Engineeringreinforcement learningMLOpsdata preprocessingunsupervised learningHugging Face TransformersgansPytorchTensorflowdiffusion modelsVAEsPythonautoregressive models
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Price Waterhouse Coopers
Management Consulting
30k+
employees
1880
146 years old
Bangalore / Bengaluru, Karnataka
India
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