Advanced Data Scientist Role

2 weeks ago

Tiruchi, Tamil Nadu, India beBeeMachineLearning Full time ₹ 1,20,00,000 - ₹ 3,50,00,000
Artificial Intelligence Engineer Position

At Neo Group, we are seeking an experienced Artificial Intelligence Engineer to join our team. The ideal candidate will have hands-on expertise in building, deploying, and managing AI solutions, along with a deep understanding of modern frameworks and cloud-based practices.

The successful applicant will be responsible for designing, developing, and deploying machine learning models and pipelines for production-scale applications. This includes implementing NLP solutions using algorithms such as TF-IDF, Word2Vec, BERT, Zero-Shot, and Few-Shot learning techniques.

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 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.

Required Skills & Experience:

  • 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

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.

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