Description and Requirements
"At BMC trust is not just a word - it's a way of life!"
We are an award-winning, equal opportunity, culturally diverse, fun place to be. Giving back to the community drives us to be better every single day. Our work environment allows you to balance your priorities, because we know you will bring your best every day. We will champion your wins and shout them from the rooftops. Your peers will inspire, drive, support you, and make you laugh out loud!
We help our customers free up time and space to become an Autonomous Digital Enterprise that conquers the opportunities ahead - and are relentless in the pursuit of innovation!
The IZOT product line includes BMC’s Intelligent Z Optimization & Transformation products, which help the world’s largest companies to monitor and manage their mainframe systems. The modernization of mainframe is the beating heart of our product line, and we achieve this goal by developing products that improve the developer experience, the mainframe integration, the speed of application development, the quality of the code and the applications’ security, while reducing operational costs and risks. We acquired several companies along the way, and we continue to grow, innovate, and perfect our solutions on an ongoing basis.
BMC is looking for a Senior Data Scientist to join our amazing IZOT team, responsible for development of the BMC AMI product.
In this role, you will be responsible for End-to-end design and execution of BMC Data Science tasks, including development of predictive and quantitative models, deploy completed solutions. You will provide expertise and recommendations for plans, programs, advance analysis, strategies, and policies.
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:
· You have experience in AI and NLP techniques with expertise in deep learning and natural language processing.
· You have 3+ years of experience working in a Data Science/Machine Learning Engineering role in MLOps or DevOps.
· You have the Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (OCP, AWS, MS Azure or GCP)
· You have experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift
· You have experience with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes).
· You have experience in Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
· You have Ability to understand tools used by data scientist and experience with software development and test automation.
· You can Execute AI models and algorithms in the production scenario to elevate scalability and performance.
· You have Familiarity with cloud platforms such as AWS, OCP, GCP, or Azure.
· You have experience with version control systems such as Git.
Whilst these are nice to have, our team can help you develop in the following skills:
· CI/CD (Jenkins) environment with popular DevOps tools
· Experience with Agile methodology, use of Atlassian products Jira, Confluence )
· You are familiar and can take advantage of advanced IDEs such as IntelliJ, Eclipse or VSCode .
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.
BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.
At BMC we believe in pay transparency and have set the midpoint of the salary band for this role at 4,166,900 INR. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.
The salary listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits.
We are committed to ensuring that our employees are paid fairly and equitably, and that we are transparent about our compensation practices.
(Returnship@BMC)
Had a break in your career? No worries. This role is eligible for candidates who have taken a break in their career and want to re-enter the workforce. If your expertise matches the above job, visit to https://bmcrecruit.avature.net/returnship know more and how to apply.
Mid point salary
4,166,900
