AI Engineer

2 days ago

Bangalore, India HDFC Bank Full time
Job Purpose An experienced AI/ML Engineer to design, develop and maintain AI / ML and GenAI based solutions on enterprise platform on Industry best and open-source models at scale along with governance and security frameworks
compute clusters, storage, networking) for AI applications, including cloud platforms like AWS, Azure, or GCP
Design, build, and train generative AI models using techniques like deep learning and neural networks
Develop and maintain scalable, efficient, and reliable data pipelines for AI models, ensuring data quality and integrity.
Integrate machine learning models into AI platforms and deploy them into production environments, often using AIOps, MLOps and LLMOps frameworks
Design and implement monitoring strategies for AI platforms and optimize their performance for scalability and real-time applications.
Perform machine learning tests and statistical analysis to fine-tune the machine learning systems
Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, performance evaluation and training of AI/ML solutions Extend existing machine learning libraries and frameworks
Implemented and evaluated machine learning models, including supervised, unsupervised, and reinforcement learning techniques, for B2C use cases
Strong experience with deep learning frameworks like TensorFlow and PyTorch
Used Python or other programming models to build and train a deep learning model for Document Classification, Extraction, Signature matching, STT, TTS kind of use cases
Demonstrated ability to fine-tune and optimize models using large data sets
Certified in AI/ML in any of the cloud platforms like AWS, Azure, or GCP and experience deploying AI/ML models in the cloud
Effective communication skills, both written and verbal, with the ability to effectively communicate technical concepts to non-technical audiences
Strong background in designing and implementing machine learning and deep learning algorithms and responsible AI practices at enterprise scale and speed
Working knowledge with ML platforms like TensorFlow, PyTorch, or Hugging Face
Proficiency in Training, Tuning and Deploying GenAI models based on LLMs, GANs, and VAEs
Hands on expert in programming languages like Python, Java, or C++, and have experience with cloud platforms, containerization technologies (e.g., Docker, Kubernetes), and data pipeline tools (e.g., Experience working in cross-functional teams

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