Machine Learning Engineer Consultant

Key Responsibilities

• Engage with clients to understand their business objectives and challenges, providing data-driven recommendations and AI / ML solutions that enhance decision-making and deliver tangible value.
• Solve business problems using data analysis and machine learning techniques : Conduct exploratory data analysis, feature engineering, and model development to uncover insights and predict outcomes.
• Develop and deploy AI / ML models, including supervised and unsupervised learning algorithms, NLP solutions, and model performance optimization.
• Design and implement scalable, cloud-native ML pipelines and APIs using tools like Python, Scikit-learn, TensorFlow, and PyTorch.
• Contribute to the development of AI-based applications, including but not limited to LLM use cases, while ensuring integration with broader ML system architecture.
• Collaborate with cross-functional teams to deliver robust and reliable solutions in cloud environments such as AWS, Azure, or GCP.
• Be a master storyteller for our services and solutions to our clients at various stages of engagement such as pre-sales, sales, and delivery using data-driven insights.
• Translate business problems into AI / ML project plans and provide strategic input on solutioning and model deployment strategies.
• Stay current with developments in AI, ML modelling, and data engineering best practices, and integrate them into project work.
• Mentor junior team members, provide guidance on modelling practices, and contribute to an environment of continuous learning and improvement.

Job Requirements