At IBM, work is more than just a job. It's a calling. We're here to build, design, code, consult, and innovate. Are you ready to lead in this new era of technology and tackle some of the world's most challenging problems? If so, let's talk.
Your Role and Responsibilities
- Experience. I have 7+ years of experience in Data Science, with expertise in machine learning, deep learning, and natural language processing.
- Strong background in traditional AI methodologies, encompassing both machine learning and deep learning frameworks.
- Familiarity with model serving platforms such as TGIS and vLLM.
- Hands-on experience in transformer-based and diffuser-based models (e.g., BERT, GPT, T5, Llama, Stable diffusion) is desirable.
- Proficiency in Python, C++, Go, Java, and relevant ML libraries (e.g., TensorFlow, PyTorch) is essential for developing production-grade quality products.
- Full-stack development proficiency, including frontend (HTML, CSS, JavaScript) and backend (Django, Flask, Spring Boot). Experience integrating AI tech into full-stack projects is a plus.
- Strong problem-solving and analytical skills, with experience in optimizing AI algorithms for performance and scalability.
- Familiar with Agile methodologies, adept at collaborative teamwork. Experience in Agile development of AI-based solutions is advantageous.
What You Will Do
- Develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency.
- Implement and optimize machine learning algorithms, neural networks, and statistical modeling techniques.
- I have hands-on experience developing and deploying large language models (LLMs) in production environments, and I have a good understanding of distributed systems, microservice architecture, and REST APIs.
- Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment.
- Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries.
- Communicate technical concepts effectively to non-technical stakeholders.
- Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security.
- Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments.
Required Technical and Professional Expertise
- 7+ years of experience in Data Science and Generative AI.
- Hands-on experience with transformer-based and diffuser-based models.
- Robust background in traditional AI methodologies.
- Proficiency in Python, C++, Go, and Java.
- Full-stack development skills.
- Data handling skills.
- Experience in Agile methodologies.
Preferred Technical And Professional Expertise
- Proficiency in AI/ML and Data Science.
- Algorithm implementation and optimization.
- Development of large language models (LLMs).
- MLOps integration.
- Continuous learning and contribution.
- Effective communication skills.
- Adherence to industry standards.
- Container orchestration experience.
About Business Unit
IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage understand, reason, and learn so our clients can innovate while avoiding IT issues. Join us to help build our leading-edge technology portfolio designed for cognitive business and optimized for cloud computing.
Location Statement
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration.
Being You @ IBM
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. We strive to be the catalyst that makes the world work better. Join us on our journey to being a responsible technology innovator and a force for good in the world.