About Neo Group:
Neo is a new-age, focused Wealth and Asset Management platform in India, catering to HNIs, UHNIs and multi-family offices. Neo stands on its three pillars of unbiased advisory, transparency and cost-efficiency, to offer comprehensive, trustworthy solutions. Founded by Nitin Jain (ex-CEO of Edelweiss Wealth), Neo has amassed over USD 3 Billion (25,000 Cr.) of Assets Under Advice within a short span of 2 years since inception, including USD 360 Million (3,000 Cr.) Assets Under Management. We have recently partnered with Peak XV Partners via a USD 35 Million growth round.
To know more, please visit: www.neo-group.in
Position: Machine Learning Engineer
Location: Mumbai
Experience: 1-6 years
About the Role
We are looking for an Machine Learning Engineer with a strong background in Machine Learning, NLP, and Generative AI to join our team. The ideal candidate will have hands-on expertise in building, deploying, and managing ML solutions, along with a deep understanding of modern AI 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 (OpenAI, LLaMA, Gemini, Perplexity etc.) to solve real-world business problems.
- 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 using Flask/FastAPI.
- Manage 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.
