We are partnering with a $30 billion global innovator in business and technology services, serving a significant portion of the Fortune Global 100. This organization is committed to helping clients innovate, optimize, and transform for long-term success, boasting diverse experts in over 50 countries and a robust partner ecosystem. They are a leading provider of digital and AI infrastructure, investing billions annually in R&D to advance society into the digital future.
The Role
- Design, develop, train, and deploy Machine Learning models for enterprise use cases.
- Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
- Build and integrate AI/ML services with enterprise applications using APIs and Microservices.
- Evaluate ML algorithms and optimize models for accuracy, performance, and scalability.
- Develop automated ML pipelines for model training, testing, deployment, and monitoring.
- Collaborate with Data Scientists, Data Engineers, and business teams to translate requirements into AI/ML solutions.
What You'll Need
- 5+ years of experience in Python development, Data Science, or Machine Learning engineering.
- 3+ years of experience developing ML solutions using Scikit-learn, TensorFlow, PyTorch, or similar frameworks.
- 3+ years of experience with data processing, feature engineering, SQL, and model development.
- 2+ years of experience deploying AI/ML solutions on AWS, Azure, or Google Cloud Platform.
- Strong hands-on experience with Python, machine learning frameworks, data processing, and cloud-based AI/ML services.
- Ability to collaborate with data scientists, data engineers, application developers, and business stakeholders.
What's On Offer
- Opportunity to work with cutting-edge AI/ML technologies and large-scale enterprise solutions.
- Collaborative and innovative work environment.
- Competitive compensation.
- Chance to contribute to solutions that impact Fortune Global 100 companies.
Apply via Haystack today!