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Data Scientist / AI Engineer

Actively Reviewing the Applications

Alphanome.AI

India, Andhra Pradesh Full-Time
Posted 1 day ago Apply by July 1, 2026

Job Description

We are seeking a highly skilled and motivated Data Scientist / AI Engineer to design, develop, and deploy advanced AI/ML solutions. The ideal candidate will have strong expertise in NLP, LLMs, and speech technologies, with a proven ability to deliver end-to-end machine learning solutions in production environments.


Educational Qualifications

  • Bachelor’s or Master’s degree in Artificial Intelligence, Data Science, Statistics, or a related technical discipline.


Professional Experience

  • Minimum of 3 years of professional experience as a Data Scientist or Machine Learning Engineer.
  • Demonstrated experience in solving complex AI/ML problems and delivering end-to-end solutions.
  • Advanced expertise in Natural Language Processing (NLP), including but not limited to: Text classification, Clustering and topic modeling, Summarization, Named Entity Recognition, Conversational AI systems
  • Hands-on experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, evaluation, and deployment.
  • Strong background in speech technologies, including automatic speech recognition and speech generation.
  • Proficiency in Python and its machine learning ecosystem, including PyTorch, TensorFlow, Scikit-learn, and Hugging Face Transformers.
  • Proven experience in taking ML products from concept to production, covering: Data collection and exploratory data analysis, Model design and experimentation, Optimization, deployment, and post-deployment monitoring and iteration


Cloud & Platform Experience

Experience with cloud-based ML platforms is highly desirable, including:

  • AWS: SageMaker, EC2, S3, and related services
  • Microsoft Azure: Azure ML Studio, Azure AI Foundry


Preferred (Good-to-Have) Skills

  • Experience with multimodal AI systems, integrating text, audio, vision, or structured data.
  • Experience in optimization and advanced mathematical modeling tasks.


Soft Skills & Competencies

  • Strong individual contributor with the ability to work independently with minimal supervision.
  • Excellent team player with proven experience collaborating across cross-functional and cross-domain teams.
  • Creative and analytical problem-solver, capable of designing novel solutions where standard approaches do not exist.
  • Excellent written and verbal communication skills, with the ability to clearly articulate ideas, solutions, and technical concepts.
  • Strong learning mindset, committed to continuous personal development and contributing to team excellence.
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