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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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