
AI Innovation Specialist
7 days ago
About our organization:
We are a leading-edge financial services company, providing cutting-edge solutions to high-net-worth individuals and multi-family offices. We operate on three pillars of unbiased advice, transparency, and cost-efficiency.
With over $3 billion in assets under guidance, we have made significant strides since our inception. Our ideal candidate will possess expertise in building, deploying, and managing AI-driven solutions, along with a deep understanding of modern machine learning frameworks and cloud-based MLOps practices.
Key Responsibilities:
- Design, develop, and deploy machine learning models and pipelines for production-scale applications.
- Implement NLP solutions using algorithms such as TF-IDF, Word2Vec, BERT, Zero-Shot, and Few-Shot learning techniques.
- Apply Generative AI models to solve real-world business challenges.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Work with statistical and mathematical models to analyze complex datasets.
- Develop and maintain RESTful APIs and microservices.
- Manage the AI lifecycle, including versioning, CI/CD, and deployment using AWS, Docker, Jenkins, and other MLOps tools.
- Maintain source code repositories and ensure best practices for version control.
- Work with databases to handle structured and unstructured data.
- Participate in project management using tools like JIRA/Asana.
- Stay up-to-date with advancements in AI/ML and contribute to innovation within the team.
Required Skills & Experience:
- Bachelor's/Master's in Computer Science, Engineering, Mathematics, or Statistics.
- ML/Deep Learning/NLP Certification preferred.
Technical Expertise (Must-Have):
- Programming: Python.
- Machine Learning & Statistics: Strong knowledge of algorithms.
- NLP: Zero-shot, Few-shot classification, TF-IDF, Word2Vec, BERT.
- Generative AI: OpenAI models.
- Databases: MongoDB & MySQL.
- Version Control: Git, Bitbucket.
- Microservices: Flask, FastAPI.
- MLOps: AWS, Jenkins, Docker/CircleCI.
- Project Management Tools: JIRA, Asana.
- REST APIs.
Preferred Qualities:
- Strong problem-solving and analytical skills.
- Ability to work independently as well as in a collaborative team environment.
- Excellent communication skills to convey complex technical concepts.
- Passion for staying ahead in the AI/ML space.
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