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4.0 - 8.0 years
0 Lacs
maharashtra
On-site
As a Lead Machine Learning Engineer, you will be responsible for leading the design, development, and deployment of cutting-edge ML models and systems. Your primary focus will be collaborating with the engineering and product teams to create solutions tailored to financial markets. You will work closely with cross-functional teams to seamlessly integrate ML solutions into various products. Your role will involve driving innovation through continuous research and application of the latest ML techniques and technologies. You will take the lead in developing end-to-end ML workflows, emphasizing LLM-based architectures and applications. Fine-tuning and optimizing both open-source and proprietary LLMs for practical use cases will be a key aspect of your responsibilities. You will also apply advanced techniques such as retrieval-augmented generation (RAG), prompt engineering, and model compression to enhance performance and efficiency. Additionally, you will collaborate with product and engineering teams to incorporate LLMs into customer-facing applications. Guiding data collection, setting up training pipelines, and deploying infrastructure will be integral parts of your role. It is crucial to stay updated on the latest advancements in the LLM and generative AI space to evaluate their relevance to ongoing projects. To excel in this role, you should possess strong expertise in Python, ML frameworks (such as TensorFlow, PyTorch), and cloud platforms (AWS/GCP/Azure). A solid background in ML/NLP, especially in developing and delivering LLM-powered products, is essential. Familiarity with tools like Hugging Face Transformers, LangChain, OpenAI/Anthropic APIs, vector databases (e.g., Pinecone, Weaviate), and orchestration frameworks is highly beneficial. Furthermore, a deep understanding of model evaluation, performance optimization, and responsible AI principles is required. The ability to thrive in fast-paced, cross-functional environments is crucial for success in this role. While not mandatory, knowledge and exposure to financial markets would be advantageous for this position.,
Posted 2 weeks ago
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