
AI / ML Innovator
7 days ago
We are seeking an exceptionally talented and self-motivated Senior AI/ML Engineer with a robust foundation in both machine learning theory and core software engineering.
- Advanced Theoretical Modeling: Develop a deep understanding and practical application of key ML concepts such as regression, bias analysis, hypothesis testing, Bayesian methods, XGBoost, LightGBM, and other statistical models.
- Generative AI: Demonstrate expertise in generative AI, including auto-regressive models, LLM architectures, and retrieval augmented generation (RAG).
- Evaluate and Design Algorithms: Evaluate and design algorithms with a solid grasp of theoretical foundations to ensure optimal model performance.
Build, deploy, and manage robust ML pipelines covering data ingestion, preprocessing, model training, validation, and production deployment. Oversee continuous integration/continuous deployment (CI/CD) processes, prompt versioning systems, and model monitoring frameworks.
- Integrate Best Practices: Integrate best practices in bias analysis and model evaluation to ensure ethical and high-quality outputs.
- Core Software Engineering: Write efficient, maintainable code in Python with strong object-oriented programming and algorithm design skills.
Design and implement orchestration layers and innovative agent patterns (e.g., plan-and-execute, rewoo patterns) to facilitate advanced AI workflows.
- Orchestration Layers: Extend and integrate pre-built components and custom solutions into cohesive, production-ready systems.
- Agent Patterns: Work closely with product owners, data scientists, and engineering teams to gather requirements, translate business objectives into technical roadmaps, and guide the development process.
To be considered for this role, you should have:
- Bachelor's Degree: A Bachelor's degree in Computer Science (mandatory).
- Professional Experience: 2-4 years of relevant experience in machine learning, data science, or software engineering.
- Technical Expertise: Deep theoretical knowledge in statistics, machine learning algorithms, and deep learning.
You will have the opportunity to work collaboratively across teams, translate complex business KPIs into technical solutions, and continuously push the boundaries of AI innovation.
OthersThis is a high-paced, demanding environment where taking initiative and innovative thinking are paramount.
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