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BMC Machine Learning Engineer Data Science India, Maharashtra 257466231
16.05.2024
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Here is how, through this exciting role, YOU will contribute to BMC's and your own success:
- Design, develop, and maintain high-quality software applications using Java and/or Python.
- Collaborate with cross-functional teams to understand requirements and translate them into technical specifications.
- Develop and implement software solutions that leverage GPT, LLM, and conversational AI technologies.
- Integrate GPT and LLM models into the software architecture to enable natural language understanding and generation.
- Develop conversational AI systems and chatbots that provide intuitive and human-like interactions.
- Implement and maintain APIs and microservices to enable seamless integration of conversational AI functionality into existing applications.
- Conduct thorough testing and debugging to ensure the quality, reliability, and security of the software applications.
- Stay updated on the latest advancements in GPT, LLM, and conversational AI technologies, and propose innovative solutions and improvements.
- Collaborate with product managers and stakeholders to define and prioritize features and enhancements.
To ensure you’re set up for success, you will bring the following skillset & experience:
- 4+ years of experience using ML to solve Natural Language Processing (NLP) use cases
- Good understanding of machine learning algorithms, tools and platforms
- Experience in toolkits such as NumPy, SciPy, scikit-learn,
- Working knowledge of Word2Vec, NLTK, BERT
- Understanding of encoder and encoder-decoder model architectures.
- GPT based training will be a plus.
- Knowledge of the latest techniques in this space such as Lora adaptors, PEFT, quantization
- Experience in practical training cycles
- Experience with GPU usage
Experience with inference accelerators Whilst these are nice to have, our team can help you develop in the following skills:
- Knowledge of fine tuning LLMs including BERT and GPT based.
- Self-starter and intellectual curiosity
- Great communication skills, ability to explain predictive analytics to non-technical audience
- Proficiency in data exploration techniques and tools
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