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Mirabel Technologies - Artificial Intelligence Engineer - Python / Tensorflow

Mirabel Technologies - Artificial Intelligence Engineer - Python / Tensorflow

MIRABEL TECHNOLOGIES INDIA PRIVATE LIMITEDHyderabad
11 days ago
Job description

About Us :

Mirabel Technologies is the world's leader in media management software for the publishing industry with over 15,000 websites, magazines, and newspapers in 20 different countries who use Mirabel Products. This dynamic technology company is based in the booming seaside city of Fort Lauderdale, two blocks from beautiful Las Olas Boulevard and is known for its creative entrepreneurial environment and high employee retention levels. Mirabel recently launched Mirabel's Marketing Manager, a cutting-edge marketing technology startup product that focuses on email marketing, lead identification, customer relationship management, prospecting and data appending tools. The company is looking for dynamic employees.

Key Responsibilities :

  • Lead the design, development, and deployment of ML and deep learning models using Python, TensorFlow, and AWS SageMaker.
  • Build and optimize Natural Language Processing (NLP) and Generative AI (GenAI) solutions, including RAG pipelines and LLMs.
  • Collaborate with cross-functional teams to translate business requirements into scalable AI / ML solutions.
  • Develop and maintain REST APIs for integrating ML models into production systems.
  • Design and optimize NoSQL or RDBMS database schemas to support AI-driven applications.
  • Provide program leadership in AI adoption, including governance, best practices, and change enablement.
  • Evaluate emerging GenAI technologies and frameworks, recommending innovative solutions for business needs.
  • Ensure scalability, security, and performance of deployed AI systems in cloud environments such as AWS.
  • Document processes, create technical specifications, and mentor junior engineers on AI / ML development best practices.

Technical Skills :

  • Programming Languages : Python (expert-level), knowledge of object-oriented and functional design principles.
  • Machine Learning & Deep Learning : TensorFlow, Keras, PyTorch (optional), ML pipelines, and model optimization.
  • Natural Language Processing (NLP) : Text classification, tokenization, embeddings, transformers, and RAG pipelines.
  • Generative AI (GenAI) : Exposure to LLMs, RAG, prompt engineering, and related frameworks.
  • Cloud Environments : AWS (including SageMaker), exposure to other cloud platforms is a plus.
  • Databases : Experience with NoSQL database design, RDBMS design, and performance optimization.
  • API Development : REST API design and integration best practices.
  • Other : Familiarity with governance frameworks, change enablement, and agile methodologies.
  • Education :

  • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Advanced certifications in Machine Learning, Deep Learning, or AWS Cloud are an added advantage.
  • Experience :

  • 5-8 years of hands-on experience in Machine Learning, NLP, and Deep Learning, including at least 2-3 years in Generative AI or LLM-based solutions.
  • Proven experience in program leadership, governance, and implementing AI-driven solutions in production environments.Key Responsibilities
  • Lead the design, development, and deployment of ML and deep learning models using Python, TensorFlow, and AWS SageMaker.
  • Build and optimize Natural Language Processing (NLP) and Generative AI (GenAI) solutions, including RAG pipelines and LLMs.
  • Collaborate with cross-functional teams to translate business requirements into scalable AI / ML solutions.
  • Develop and maintain REST APIs for integrating ML models into production systems.
  • Design and optimize NoSQL or RDBMS database schemas to support AI-driven applications.
  • Provide program leadership in AI adoption, including governance, best practices, and change enablement.
  • Evaluate emerging GenAI technologies and frameworks, recommending innovative solutions for business needs.
  • Ensure scalability, security, and performance of deployed AI systems in cloud environments such as AWS.
  • Document processes, create technical specifications, and mentor junior engineers on AI / ML development best practices.
  • (ref : hirist.tech)

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