In short
We are sharing a specialised consulting opportunity for experienced Machine Learning Engineers with strong expertise in Python, machine learning frameworks, model evaluation, data…
PYTHONTENSORFLOWPYTORCHMACHINE LEARNING
📋 About the job
We are sharing a specialised consulting opportunity for experienced Machine Learning Engineers with strong expertise in Python, machine learning frameworks, model evaluation, data pipelines, and MongoDB to contribute to an advanced AI training and machine learning project.
Selected professionals will design and refine machine learning models, work with large datasets, develop efficient preprocessing and data pipelines, and evaluate model performance through rigorous experimentation and benchmarking. The work requires strong practical ML expertise, structured technical reasoning, and the ability to document methodologies and findings clearly.
Key Responsibilities
Machine Learning Model Development
🔹Design, develop, and refine machine learning models using Python and relevant frameworks
🔹Select appropriate modelling approaches based on project objectives and available data
🔹Implement robust training and validation workflows
🔹Apply feature engineering and data-preparation techniques where appropriate
🔹Improve model quality through iterative experimentation and analysis
Model Evaluation & Optimisation
🔹Conduct systematic model evaluation using appropriate performance metrics
🔹Tune hyperparameters to improve model effectiveness and stability
🔹Benchmark alternative models, configurations, and approaches
🔹Identify weaknesses, failure patterns, and opportunities for improvement
🔹Ensure conclusions are supported by reproducible experimental results
Data Engineering & MongoDB
🔹Analyse and work with large datasets used for model training and validation
🔹Use MongoDB for efficient data storage, retrieval, and manipulation
🔹Develop preprocessing workflows that support reliable model development
🔹Integrate data pipelines across training and inference processes
🔹Identify and resolve data-quality or pipeline issues affecting model performance
Experimentation, Documentation & Collaboration
🔹Document methodologies, experiments, assumptions, and outcomes clearly
🔹Maintain transparent and repeatable machine learning workflows
🔹Collaborate with cross-functional contributors to identify model-improvement opportunities
🔹Communicate technical findings and recommendations in a clear, actionable manner
🔹Adapt modelling approaches as project requirements evolve
Ideal Profile
🔹Demonstrated professional expertise in Python
🔹Strong experience with machine learning frameworks such as scikit-learn, TensorFlow,…