Data and AI Engineer

You will also help in providing technical direction and develop strategies for long-term platform growth. You need to be versatile, display leadership qualities and open minded to take on new problems that our customers face.

The day today responsibilities include,

• Analyzes and designs reusable components of the data platform and services required to support the data storage, data schema, data orchestration.

• Design, develop, troubleshoot, and scale the data pipelines required to support the various analytics and AI/ML workloads.

• Understand application produced artifacts, design the entire pipeline of schema definition, efficient storage and query of various entity objects.

• Train, fine-tune, evaluate, and optimize AI models for specific use cases, ensuring accuracy, performance, cost-effectiveness, and scalability.

• Seamlessly integrate AI models and autonomous agent solutions into cloud-based products to drive smarter workflows and improved productivity

• Develop reusable tools, libraries, and components that standardize and accelerate the development of AI solutions across the organization.

• Monitor and maintain deployed models, ensuring consistent performance and reliability in production environments

• Translate complex technical and functional problems into detailed designs

• Partner and work with data scientists in the team in taking data science algorithms and integrating them efficiently for high scale production application.

• Provide senior level support and mentoring by evaluating product enhancements for feasibility studies and providing completion time estimates

• Develop high quality unit, tests functional tests and integration tests supporting the data extract, transform, load pipelines

• Ensure product quality by participating in design reviews, code reviews and working with the team for end-to-end validation of the entire product

• Design and develop various data validation strategies ensuring that robust , good quality data is provided to data science teams for model development and advanced analytics

• Define data governance, data auditing policy and strategies for compliance and security controls

• Write and maintain technical documentation for the various projects. Review product user documentation for technical accuracy and completeness

Required education

Bachelor's Degree

Preferred education

Bachelor's Degree

Required technical and professional expertise

5-7 years of experience in developing enterprise applications using Java, Python, spark and related technologies with 2+ years of focus on DataEngineering, DataOps, MLOps and AI Engineering

- Software development strategies for low latency, high throughput softwares

• Hands-on experience with common distributed processing tools and languages Python, Spark, Hive, Presto

• Deep understanding of data pipelines, data modeling strategies, schema management

• Experience with specialized data architectures like data lake, data mesh and optimizing data layouts for efficient processing.

• Hands on Experience with streaming platforms and frameworks like Kafka, spark-streaming

• Hand on Experience in integrating AI models into real-world applications

• Strong understanding of advanced algorithms used in design and development of enterprise grade software

• Familiarity with pipeline orchestrator tools like Argo, Kubeflow, Airflow or other open source

• Familiarity with platforms like Kubernetes and experience building on top of the native platforms

• Good written and verbal communication skills

• Ability to provide guidance to less experienced team members.

Preferred technical and professional experience

Proficiency in Java, Python, Spark, and related technologies

Hands-on experience with common distributed processing tools and languages Python, Spark, Hive, Presto

Familiarity with pipeline orchestrator tools like Argo, Kubeflow, Airflow or other open source

Familiarity with platforms like Kubernetes and experience building on top of the native platforms

ABOUT BUSINESS UNIT

IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

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?

ABOUT IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

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