Data Science Engineer for Hybrid Cloud and AI
hace 2 semanas
IBM Consulting is a leading provider of business and technology transformation services, offering strategy, experience, technology, and operations expertise to clients across various industries.
We help our clients accelerate their businesses through collaboration, leveraging the power of technology responsibly to drive progress. Our people are focused on learning, developing themselves, and growing their careers in an environment that fosters trust, courage, and continuous improvement.
Our culture centers around long-term career growth and development opportunities, embracing individual skills and experiences while encouraging curiosity, creativity, and innovation.
Your Role and ResponsibilitiesAs a Data Science Engineer for Hybrid Cloud and AI, you will develop, maintain, evaluate, and test machine learning solutions. You will be involved in data engineering activities such as creating pipelines and workflows for source-to-target data processing and implementing solutions that address client needs.
Required Technical and Professional Expertise- Proven experience working as a Machine Learning Engineer or Sr. Developer in a professional setting with strong proficiency in programming languages such as Python (Java optional) and 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.
- Excellent communication and teamwork skills.
Ranging from $120,000 to $180,000 per annum, depending on location and experience.
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