The AI/ML Trainer is a specialist responsible for designing, delivering, and refining advanced instructional programs in Artificial Intelligence and Machine Learning. This expert will train individuals and teams-from entry-level professionals to experienced technical staff-in modern data science and machine learning methodologies and tools, bridging theory with hands-on application across industries.
Key Responsibilities
Design and deliver high-impact live and virtual training sessions and workshops covering machine learning foundations, supervised and unsupervised techniques, neural networks, deep learning, natural language processing, and emerging AI domains.
Develop custom curriculum modules using industry-standard frameworks (TensorFlow, PyTorch, scikit-learn, etc.) suited to client or student backgrounds.
Curate, label, and manage datasets for model building, hands-on labs, and real-world challenges.
Guide trainees through practical exercises-feature engineering, hyperparameter tuning, model evaluation, deployment, and cloud-based AI workflows.
Assess skill and progress using technical quizzes, project reviews, and mock interviews; provide feedback for continuous learning.
Collaborate with client stakeholders or academic teams to adapt content for sector-specific use cases (i.e., finance, healthcare, manufacturing, etc.).
Stay current with evolving AI/ML research, tools, and ethics standards; implement cutting-edge techniques in training delivery.? Mentor candidates toward industry-recognized certifications and best practices in ML operations, model interpretability, and responsible AI.
Document all learning outcomes, participant feedback, and training analytics for internal and client reporting.
Maintain high standards of data privacy and ethical compliance in all instructional material and exercises.
Required Skills & Qualifications
Education: Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Applied Mathematics, orrelated discipline.
Experience: 3+ years (minimum) hands-on industry experience in building, deploying, and optimizing ML models; at least 2 years of proven teaching, training, mentoring, or curriculum development in AI/ML.
Technical Expertise:
Proficiency with Python and leading ML libraries (TensorFlow, PyTorch, scikit-learn, Keras).
Data analysis, feature engineering, model validation, and deployment.
Familiarity with cloud ML platforms (AWS, Azure, GCP ML workflows).
Data pipeline management, data cleansing, and annotation tools.
Instructional Ability
:
Skilled at simplifying complex concepts; delivering engaging, outcome-driven training for diverse audiences.
Strong communication and presentation skills; able to adapt to various cultures and learning levels.
Capable of designing assessments, project reviews, and certification prep.
Professional Qualities:o Highly analytical, detail-oriented, and comfortable with iterative problem solving.
Up-to-date awareness of AI ethics, audit trails, model bias, and responsible data stewardship.
Effective collaborator with academic, business, and engineering teams.
Preferred Additions
Industry certifications in AI/ML (e.g., TensorFlow Developer, AWS/Azure ML Specialist).
Experience training in specialized domains such as Computer Vision,
NLP, or MLOps.
Publication or contribution to open-source projects, blogs, or whitepapers on AI/ML topics.
Experience evaluating or fine-tuning generative models, LLMs, or prompt design.
About GeekSpoc
GeekSpoc IT Services is a dynamic, innovation-driven technology company specializing in comprehensive IT solutions, training, and talent transformation for global enterprises, startups, and ambitious professionals. With deep expertise across artificial intelligence, machine learning, cybersecurity, and digital consulting, GeekSpoc partners with forward-thinking organizations to deliver real business impact and future-proof technical capability.
Our programs leverage cutting-edge curricula, advanced project work, and industry best practices to enable lifelong skill development and career progression. GeekSpoc's commitment to excellence extends from global IT consulting and managed services to top-tier technology talent development, making us a single point of contact for all business transformation, digital upskilling, and IT hiring needs.
We foster a culture of innovation, collaboration, and trust-empowering both
learners and enterprises to thrive in the evolving digital landscape.