We are seeking a highly skilled Subject Matter Expert (SME) with deep expertise in Machine Learning and Artificial Intelligence, including agentic systems, model lifecycle management, MLOps, and AI architecture. The ideal candidate combines strong theoretical knowledge with hands-on experience building and deploying AI/ML solutions
at scale.
A Day in Your Life:
● Analyze/create learning objectives for each course.
● Review/create Course Outline for each of the courses.
● Review video scripts (7-9 per course) and confirm technical accuracy of the content, suggest edits and updates as required. Incorporate one round of internal and client feedback.
● Provide relevant static or recorded demos/ screencast to be integrated in the videos.
● Incorporate one round of internal and client feedback.
● In case of AI/software/tool-based courses, suggest relevant freeware. Write/review and test the codes to check.
● Review readings (4-6 per course, each up to 1200 words) and confirm technical accuracy of the content, suggest edits and updates as required. Incorporate one round of internal and client feedback.
● Create hands-on activities (1-2 lab or any other client preferred format) per course.
● Incorporate one round of internal and client feedback.
● Review practice quiz and graded assessments (5 files, each comprising 5-10
questions and suggest suitable edits, and confirm technical accuracy. Incorporate one round of
internal and client feedback.
● Record talking head videos (onsite/virtually on Zoom) for each course. There will be
approximately 20-25 minutes of video recording per course. Incorporate one round of
internal and client feedback.
● Provide digital signatures to be included on the client platform.
● For all reviews – validate the content accuracy and provide recommendations/suggestions, write/re-write to fill content gaps as necessary, write/test codes and labs, incorporate 1 round of internal feedback and 2 rounds of
client feedback.
● Be available for Client discussions and content discussions as and when required
Skills in the spotlight:
● Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or a related field.
● 5+ years of hands-on experience designing, training, and deploying machine learning models in production environments.
● Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or JAX.
● Experience with agentic systems, LLM application development, and frameworks like LangChain or LangGraph.
● Solid understanding of MLOps practices including CI/CD for ML, model monitoring, and model lifecycle management.
● Hands-on experience with RAG (Retrieval-Augmented Generation) pipelines and vector stores.
● Familiarity with distributed computing, model serving infrastructure, and scalability patterns.
● Experience with feature engineering, chaos engineering, and AI performance evaluation.
● Strong communication skills with the ability to explain complex AI/ML concepts to varied audiences.
● Certifications such as Google Professional ML Engineer, AWS ML Specialty, or equivalent are a plus.
● Prior experience mentoring teams or contributing to open-source ML projects is preferred.
Keen to know more, reach out to Mr. Leston Sequeira at ussourcing@hurix.com.
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