Advanced AI Researcher

1 day ago


Pune, Maharashtra, India beBeeArtificialIntelligence Full time ₹ 15,00,000 - ₹ 2,01,00,000
Machine Learning Engineer Position\

Job Description

We are seeking a skilled Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will design, develop, and deploy machine learning models and pipelines for production-scale applications.

You will work with cross-functional teams to translate business requirements into technical solutions. Your expertise in building, deploying, and managing ML solutions, along with a deep understanding of modern AI frameworks and cloud-based MLOps practices, is essential.

Key responsibilities include:

  • Designing and developing machine learning models and pipelines for production-scale applications.
  • Implementing NLP solutions using algorithms such as TF-IDF, Word2Vec, BERT, Zero-Shot, and Few-Shot learning techniques.
  • Applying Generative AI models (OpenAI, LLaMA, Gemini, Perplexity) to solve real-world business problems.
  • Collaborating with cross-functional teams to translate business requirements into technical solutions.
  • Working with statistical and mathematical models to analyze complex datasets.
  • Developing and maintaining RESTful APIs and microservices using Flask/FastAPI.
  • Managing ML lifecycle, including versioning, CI/CD, and deployment using AWS, Docker, Jenkins, and other MLOps tools.
  • Maintaining source code repositories (Git, Bitbucket) and ensuring best practices for version control.
  • Working with databases (MongoDB, MySQL) to handle structured and unstructured data.
  • Participating in project management using tools like JIRA/Asana.

Required Skills & Qualifications

Education:

A Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or Statistics is required. A certification in ML/Deep Learning/NLP is preferred.

Technical Expertise

The ideal candidate must have hands-on expertise in:

  • 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

Benefits

This position offers a collaborative and innovative work culture, growth opportunities in leadership and advanced AI research, and exposure to end-to-end ML lifecycle and large-scale deployments.

Why Join Us?

As a Machine Learning Engineer at our company, you will have the opportunity to work on cutting-edge AI and Generative AI projects, collaborate with talented individuals, and contribute to innovation within the team.



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