Machine Learning Engineer - Gen AI

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:

Location:

Experience:

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.