
Overview
Basic Information
Country:
State:
City:
Date Published:
Job ID:
Travel:
Secondary locations:
Description and Requirements
"At BMC trust is not just a word - it's a way of life!"
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.
Proven experience as a Data Scientist with expertise in Machine learning, Deep Learning and MLOps.- Hands on experience with Prompt Engineering, RAG, LLM Evaluation and LLM Fine tuning.
- Familiarity with different LLM Architectures.
- Strong programming skills in languages such as Python.
- Strong knowledge of statistical analysis, data mining, and machine learning techniques.
- Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Proficiency in data visualization tools (e.g., Tableau, Kibana) and experience with dashboard creation.
- Knowledge of SQL for data manipulation
- Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences.
- Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors.
- Self-learner, flexible and able to work in a multi-tasked and dynamic environment.
- Collaborate with domain experts to understand business requirements and formulate data-driven solutions.
- Implement strategies for model optimization, taking into account the constraints and requirements of mainframe environments.
Bachelor’s degree in computer science, Engineering, or a related field with 8 years of Data Science, or a related field experience.- Hands on experience with Prompt Engineering, RAG, LLM Evaluation and LLM Fine tuning
- Solid understanding in NLP concepts and familiarity with NLP libraries.
- Familiarity in writing Python backend API’s using Fast API, Flask or other frameworks.
- Knowledge of fine tuning LLMs including Llama, BERT and GPT based.
- Self-starter and intellectual curiosity
- Great communication skills, ability to explain predictive analytics to non-technical audience.
- Familiarity with machine learning frameworks and libraries.
- Proficiency in data exploration techniques and tools
- Familiarity with observability tools and practices.
- Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP).
- Knowledge of statistical analysis, hypothesis testing, and data visualization techniques.
- Experience with Agile methodology, use of Atlassian products Jira, Confluence.
- Worked on multiple Gen AI projects and delivered them E2E successfully.
- Knowledge of forecasting and predictive modeling.
- Any Azure or AWS Cloud certification
- Experience with big data technologies (e.g., Hadoop, Spark).
- Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform.
- Mainframe knowledge is a plus
Our commitment to you!
BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!
If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!
BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.