AI/ML Developer
20 hours ago
AI/ML Developer
We're Hiring: AI/ML Developer at Capgemini.
NP: 0-60 days Max
What You'll Do:
- Design, prototype, and build ML models / compound AI systems that directly impact the user journey e.g. ranking, recommendations, multi-objectives optimization, agentic AI
- Apply strong coding skills, analytical abilities, and innovative thinking to quickly understand new domains and transform creative ideas into functional solutions
- Manipulate large datasets for business insights and drive actionable solutions
- Implement scalable ML pipelines using modern tools e.g. Airflow, PySpark, SageMaker, MLflow, etc.
- Work with ML Ops and software engineers to deploy, monitor, and maintain models in production environments
- Communicate complex data science topics in a clean & simple way to multiple partners and senior leadership.
- Partner with a global team of product managers, designers, and other engineers across different continents to embed intelligence into our platform
- Support the internal ML Community and knowledge-sharing initiatives across global teams
What We're Looking For:
- 6 years with a master's degree or equivalent, or 9 years of experience with a bachelor's degree or equivalent
- Strong passion for solving problems and finding patterns and insights within structured and unstructured data. Industry experience in leveraging AI techniques on real-world large data sets.
- Proven knowledge of AI techniques such as Bayesian methods, Clustering, Ensemble tree models, NLP, etc., with an excellent grasp of statistical concepts and methods
- Prior work in NLP and GenAI (RAG, LLM-based agents)
- Strong knowledge of hands-on practice in Python. Familiarity with popular machine learning libraries and frameworks such as scikit-learn, Hugging Face, PyTorch and TensorFlow
- Comfortable with pulling and manipulating data using SQL and PySpark
- Familiarity with MLOps concepts: CI/CD for ML, monitoring, online inference
- Good written and oral communication skills, including the ability to communicate across business areas and increase overall knowledge across the organization
- Some infrastructure knowledge (AWS, Kubernetes) and cost-awareness are a plus
- Experience with writing production ready code for both model deployments and data pipelines, as well as thorough (Gen AI) models/systems performance evaluation
- Core Product Management Principles
Interested candidates, please send your profile.
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