Senior AI and Machine Learning Engineer

7 days ago

Mount Abu, Rajasthan, India beBeeDataScientist Full time ₹ 60,00,000 - ₹ 1,20,00,000

About Us

We are a leading provider of AI and ML solutions, helping businesses succeed in today's fast-paced digital landscape. Our team is dedicated to delivering cutting-edge technology that drives results.

Key Responsibilities:

  • Design and develop 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) 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.
  • Maintain source code repositories (Git) 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.

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
  • Databases: MongoDB & MySQL
  • Version Control: Git
  • Microservices: Flask, FastAPI
  • MLOps: AWS, Jenkins, Docker/CircleCI
  • Project Management Tools: JIRA
  • 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.
  • Passion for staying ahead in the AI/ML space.

Keyword: Data Scientist

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