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BMC Data Scientist India, Maharashtra 519727843
18.11.2024
Description and Requirements
CareerArc Code
You will be part of the Data Science team in Data Service Operations Management (DSOM) BU working on HelixGPT. HelixGPT is a generative AI solution from BMC tuned for IT, HR, enterprise service management (ESM), and operations use cases. The role combines both traditional data science responsibilities and cutting-edge model development. You will be responsible for a wide range of tasks, including data analysis, model building, and communicating findings to stakeholders
Here is how, through this exciting role, YOU will contribute to BMC's and your own success:
- Build out prototypes using a variety of cutting-edge technologies and tools.
- Develop quantitative models using a variety of programs/software to support predictive assessments.
- Support adoption of Artificial Intelligence (AI) and Machine Learning (ML) solutions.
- Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models & techniques.
- Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques.
- Design algorithms that require several different models/methods to be used in an ensemble.
- Deploy models into production.
To ensure you’re set up for success, you will bring the following skillset & experience:
- 5+ years of experience in Python, Package Managers like pip, conda
- Prompt writing skills using OpenAI and Open-Source models like Llamma etc.
- Hands-on experience with LangChain framework and proficiency in integration with OpenAI models and Open-Source models like Llamma, etc.
- Hands-on Exposure to vector databases, and advanced RAG
- Elastic search proficiency - specifically in “vector search” (Elastic or OpenSearch)
- Understanding of encoder-decoder model architectures.
- Knowledge of the latest techniques in the GenAI space such as LORA adaptors, PEFT, quantization
- Experience in practical training cycles, GPU usage and inference accelerators
- Experience designing and developing deep learning, machine learning, optimization and statistical models using frameworks like Tensorflow, Keras, PyTorch, MXNet
- Experience in natural language processing and its application
Whilst these are nice to have, our team can help you develop in the following skills:
- Hands-on explore to Knowledge Graphs is a plus.
- Knowledge of fine tuning LLMs including BERT and GPT based.
- Familiarity with various algorithms Inverted File Product Quantization (IVFPQ) or Hierarchical Navigable Small Worlds (HNSW) or other relevant algorithms
- Great communication skills, ability to explain predictive analytics to non-technical audience
- Proficiency in data exploration techniques and tools
- Self-starter and intellectual curiosity
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