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mimi

Data scientist / ai engineer

Alphanome.AI

On-site Full-time Mid Level Today

About the role

About

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 Py Torch, Tensor Flow, 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: Sage Maker, 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.

Requirements

  • Minimum of 3 years of professional experience as a Data Scientist or Machine Learning Engineer.
  • 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 Py Torch, Tensor Flow, 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.

Responsibilities

  • Design, develop, and deploy advanced AI/ML solutions.
  • Deliver end-to-end machine learning solutions in production environments.
  • Solve complex AI/ML problems and deliver end-to-end solutions.
  • Fine-tune, prompt engineer, evaluate, and deploy Large Language Models (LLMs).
  • Take 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.

Skills

AWS SageMakerAzure AI FoundryAzure ML StudioConversational AIData ScienceEC2Hugging Face TransformersLarge Language ModelsMachine LearningMultimodal AINamed Entity RecognitionNatural Language ProcessingNLPOptimizationPyTorchPythonS3Scikit-learnSpeech GenerationSpeech RecognitionTensorFlow

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