Data Scientist

3 weeks ago

Pune Maharashtra, India IBM Full time

Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your Role and Responsibilities

You will take on the role of Senior Data Scientist, tasked with the design, development, and deployment of Machine Learning models and capabilities for IBM Storage Insights, a SaaS Product at IBM India Systems Development Lab (ISDL). ISDL is engaged in the end-to-end design and development across IBM's Power, Z, and Storage portfolios. You will join the WW Storage development organization, contributing to product delivery and strategy discussions. Your role will also encompass leadership responsibilities, guiding technical teams, and ensuring the delivery of comprehensive features.

**Responsibilities**:

- Engage in hands-on development, focusing on Time Series Analysis, Forecasting, and GenAI technologies.
- Lead design efforts and actively participate in coding at all levels, working closely with Architects
- Operate within an Agile framework, ensuring continuous delivery.
- Define development standards, including technology selection and workflow processes.
- Collaborate with professionals to establish both functional and non-functional requirements.
- Take part in technical reviews, including the assessment of requirements, specifications, designs, and other project artifacts.

Required Technical and Professional Expertise
- Minimum of 10 years of industry experience in a Data Scientist role, with hands-on development experience.
- Proficiency in Python programming.
- Expertise in Time Series Analysis and Forecasting.
- Demonstrated experience in AI projects, including familiarity with AI and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, LLMs, NLP, GenAI).
- Skills in Anomaly Detection, Classification, Clustering, Optimization, and AI/AIOps.
- Knowledge in AI model deployment and integration.
- Experience with RESTful APIs and GitHub.
- Basic understanding of Java.
- Strong problem-solving capabilities, with the ability to adapt to a dynamic, fast-paced environment.
- Excellent communication and teamwork abilities.

Preferred Technical and Professional Expertise
- Data Engineering background.
- Advanced experience with cloud technologies, including Kubernetes, microservices architecture, Kafka, Object Storage, Cassandra database, and Docker. Familiarity with IBM Cloud Technologies is a plus.
- Understanding of storage system observability.
- Experience in design and technical leadership.

About Business UnitIBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world’s most important industries and our clients are the architects of the future. Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

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