Nagpur, Maharashtra, India
Information Technology
Full-Time
Neo Wealth and Asset Management
Overview
Location : Goa/ Mumbai
Experience Required : 4+ Years
About The Role
We are looking for an experienced Senior 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
Required Skills & Experience :
Experience Required : 4+ Years
About The Role
We are looking for an experienced Senior 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 :
- Bachelor's/Master's in Computer Science, Engineering, Mathematics, or Statistics.
- ML/Deep Learning/NLP Certification preferred.
- Programming : Python (DSA) - 5+ years
- Machine Learning & Statistics : 5+ years, strong knowledge of algorithms (Linear Regression, Decision Trees, KNN, SVM, Random Forest, Logistic Regression, Bayesian methods, Mean-based approaches)
- NLP : 5+ years (Zero-shot, Few-shot classification, TF-IDF, Word2Vec, BERT)
- Generative AI : 3+ years (OpenAI models, LLaMA, etc.)
- Databases : MongoDB & MySQL - 5+ years
- Version Control : Git, Bitbucket - 5+ years
- Microservices : Flask, FastAPI - 5+ years
- MLOps : AWS, Jenkins, Docker/CircleCI - 3+ years
- Project Management Tools : JIRA, Asana - 5+ years
- REST APIs : 2+ years
- 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.
- 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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