AI Developer Position
Job Overview
We are seeking an AI Developer to join our data science and AI team. This role involves:
- Developing and deploying AI solutions across the organization.
- Collaborating closely with investment teams.
- Building capabilities to enhance decision-making, streamline processes, and deliver measurable value.
Candidate Profile
The ideal candidate will:
- Work effectively with business stakeholders.
- Implement production-ready AI systems.
- Possess a strong analytical mindset.
- Thrive in a fast-paced, dynamic environment.
- Demonstrate creativity in problem-solving.
- Embody an entrepreneurial spirit aligned with our culture of innovation, entrepreneurialism, and agility.
Main Responsibilities
- AI Development & Deployment: Design, build, fine-tune, and deploy AI models and applications for various business use cases.
- Collaboration & Stakeholder Management: Gather requirements, communicate technical approaches, deliver actionable insights.
- Evaluation & Optimization: Improve performance metrics such as accuracy, latency, scalability, and cost.
- Pipeline & Preprocessing: Create robust data processing pipelines, ensure high-quality labeled datasets.
- R&D & Thought Leadership: Stay updated on AI research and innovations; explore new methods, tools, and frameworks.
- Mentorship & Knowledge Sharing: Guide junior team members and lead training sessions on AI best practices.
Required Skills and Qualifications
- AI Engineering: Advanced proficiency in Python for backend and AI/ML development.
- MLOps Tools: Experience with CI/CD pipelines, experiment tracking tools like MLflow or Weights & Biases, and model deployment.
- Retrieval-Augmented Generation (RAG): Experience integrating advanced search/vector databases (e.g., Pinecone).
- Data Engineering: Strong understanding of data workflows, distributed computing frameworks, large-scale data ingestion, preprocessing, and feature engineering.
- Traditional ML Models: Experience deploying and optimizing models such as XGBoost or scikit-learn.
Nice to Have
- Cloud & DevOps: Experience with AWS (EC2, EKS, S3, Lambda), Docker, Kubernetes, Terraform.
- Agentic AI Systems: Deploy AI agents capable of planning, reasoning, executing complex tasks.
- Frontend Skills: Knowledge of React or similar frameworks for AI-driven interfaces.
Education & Experience
- Bachelor’s or Master’s in Computer Science, Data Science, or related fields.
- Several years of experience in building and deploying ML or NLP solutions in production.
Summary
This position offers the opportunity to work at the forefront of AI technology in a dynamic environment, shaping innovative solutions for organizational impact.