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.

Machine Learning Engineer - Gen AI