Lead Machine Learning Specialist
2 days ago
About Neo Wealth and Asset Management:
We are a pioneering, innovative wealth and asset management platform in India, catering to high net worth individuals (HNIs) and ultra-high net worth individuals (UHNIs). Our core values include unbiased advisory, transparency, and cost-efficiency. We offer comprehensive, trustworthy solutions built on these pillars.
Founded by Nitin Jain, we have amassed over $3 billion of assets under advice within a short span of time. We recently partnered with Peak XV Partners via a strategic growth round.
We seek an exceptional Lead Machine Learning Specialist with a strong background in machine learning, natural language processing, and generative AI to join our team. The ideal candidate will possess hands-on expertise in designing, developing, and deploying ML solutions, along with a deep understanding of modern AI frameworks and cloud-based MLOps practices.
Key Responsibilities:
- Design and develop robust 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 (OpenAI, LLaMA, Gemini, Perplexity, etc.) to solve real-world business problems.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Analyze complex datasets using statistical and mathematical models.
- Develop and maintain RESTful APIs and microservices using Flask/FastAPI.
- Manage the ML lifecycle, including versioning, CI/CD, and deployment using AWS, Docker, Jenkins, and other MLOps tools.
- Maintain source code repositories (Git, Bitbucket) and ensure best practices for version control.
- Work with databases (MongoDB, MySQL) 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
Education:
- Bachelor's/Master's in Computer Science, Engineering, Mathematics, or Statistics.
- ML/Deep Learning/NLP Certification preferred.
Technical Expertise (Must-Have):
- Programming: Python (DSA)
- Machine Learning & Statistics: Strong knowledge of algorithms (Linear Regression, Decision Trees, KNN, SVM, Random Forest, Logistic Regression, Bayesian methods, Mean-based approaches)
- NLP: Zero-shot, Few-shot classification, TF-IDF, Word2Vec, BERT
- Generative AI: OpenAI models, LLaMA, etc.
- 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 to non-technical stakeholders.
- Passion for staying ahead in the AI/ML space.
Why Join Us?
- Opportunity to work on cutting-edge AI and Generative AI projects.
- Exposure to end-to-end ML lifecycle and large-scale deployments.
- Collaborative and innovative work culture.
- Growth opportunities in leadership and advanced AI research.
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