Machine Learning Engineer
hace 2 semanas
Introduction
In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe.
You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including IBM Software and Red Hat.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.
As a ML Engeneer you will develop, maintain, evaluate, and test ML solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs. Required Technical and Professional Expertise
Proven experience working as a Machine Learning Engineer or Sr. Developer working in Data Science, in a professional setting.
- Strong proficiency in programming languages such as Python (Java optional), as well as experience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Solid mathematical and statistical foundations, with knowledge of algorithms, data structures, and optimization techniques.
- Experience with big data technologies (e.g., Spark, Kafka) and working with large-scale datasets.
- Strong problem-solving skills and the ability to apply critical thinking to understand complex problems and develop innovative solutions.
- Excellent communication and teamwork skills Preferred Technical and Professional Expertise
Experience with cloud platforms and services (e.g., AWS, Azure, GCP) is a plus.
- Familiarity with renewable energy, power systems, or utilities industry is a plus #J-18808-Ljbffr
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