Ai / Ml Engineer (High Salary)

6 hours ago

Yelahanka, 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 Job Responsibilities (JR): 6 – 8 Areas Actionable (4-6) - Design and implement the necessary infrastructure (e.G., 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 Key Skills : - 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., Apache Kafka, Spark) - Experience working in cross-functional teams - Strong analytical and problem-solving skills

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