Senior Technical Consultant – Data and AI

Job not on LinkedIn

November 18

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Thinkahead Consultant Psychologist Pty Ltd

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Thinkahead is a privately owned psychology firm working across both the clinical field of private practice as well as corporate consulting space.

1 - 10 employees

📋 Description

• Assist our customers in identifying, evaluating, and prioritizing AI-ready use cases. • Design, develop, and implement complex machine learning, large language and agentic models and algorithms to solve real-world business problems. • Collaborate with cross-functional teams, including data engineers, analysts, and subject matter experts, to understand business requirements and translate them into data science solutions. • Lead client-facing project teams of AHEAD Data and AI experts. • Develop and train custom ML models using frameworks such as Scikit-Learn, TensorFlow or PyTorch. • Leverage Jupyter-based environments for exploratory data analysis, model development, and deployment. • Communicate complex technical concepts and findings to stakeholders and leadership in a clear and concise manner. • Mentor and provide guidance to junior AI Engineers. • Participate in pre-sales activities, including project scoping, estimation, and solution design. • Educate clients and stakeholders on data science and machine learning concepts, methodologies, and best practices. • Contribute to the development and enhancement of AHEAD's Data &AI service offerings and thought leadership.

🎯 Requirements

• Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related quantitative field. • Minimum of 5 years of experience in a data science-related role, with a focus on machine learning and deep learning. • Strong Python coding skills with an emphasis on writing efficient, scalable, and maintainable code. • Experience with developing and training custom deep learning models using TensorFlow, PyTorch, or scikit-learn. • Hands-on experience with Jupyter Notebooks, Azure Machine Learning Studio, Azure OpenAI, AWS SageMaker, nVidia AI Enterprise & DGX platforms • Hands-on experience with leading open source and major model providers such as LLama, Anthropic's Claude, Open AI. Etc. • Solid understanding of transformer architectures, attention mechanisms, and other advanced deep learning concepts. • Knowledge of generative AI concepts, including fine-tuning, transfer learning, and RAG methods. • Experience with the machine learning lifecycle, including model deployment, monitoring, drift detection/retraining, and canary testing. • Strong communication and collaboration skills, with the ability to present complex technical information to both technical and non-technical audiences. • Experience in pre-sales activities, including project scoping, estimation, and solution design.