Machine Learning Engineering
Turn Data Into Predictive Power That Drives Growth
Machine Learning (ML) is only as valuable as its ability to solve real-world problems. At Bit Solution Group, we turn machine learning from a research project into a production-ready engine of business value, built with MLOps best practices, aligned with your goals, and ready to scale across departments.
Schedule a Free Call
What We Do
We develop and deploy ML systems tailored to your unique use cases, whether that's for customer segmentation, dynamic pricing, fraud detection, or predictive maintenance. Our team builds the full lifecycle: from feature engineering and model training to scalable deployment, real-time inference, and continuous monitoring. We work across cloud platforms (AWS, Azure, GCP) and ML stacks (scikit-learn, TensorFlow, PyTorch, MLflow), helping you turn data into a strategic asset.
Key Benefits
Operationalized Intelligence
ML that integrates into your workflows, not just dashboards.
70% of our ML solutions are fully integrated into business workflows within the first 60 days.
Self-Learning Systems
Continuous retraining keeps models accurate and aligned with changing data.
Most models maintain high accuracy through automated retraining based on new data inputs.
Compliance & Trust
Bias detection, explainability, and model versioning built in.
Clients improved regulatory alignment with built-in bias detection and model transparency.
Deployment-Ready
Real-time APIs, batch jobs, or hybrid pipelines that support your operations.
Over 80% of use cases go live with real-time APIs or batch pipelines that support production demands.
Tools
Tools that take your project to the next level
Vertex AI Vertex AI
BigQuery BigQuery
FastAPI FastAPI
Cloud Run Cloud Run
TensorFlow TensorFlow
PyTorch PyTorch
Scikit-learn Scikit-learn
What Sets Bit Solution Group Apart
We bridge the gap between data science and engineering. While many vendors focus only on model accuracy, we prioritize production-readiness, ROI, and long-term maintainability. Every solution we build is modular, scalable, and built for business outcomes, not just technical success.
Real-World Use Cases
Churn & Retention Forecasting
Customer lifetime value prediction engine used to tailor loyalty programs and retention offers.
Financial Risk Assessment
Credit risk scoring platform used by a financial client to assess new applications in under 2 seconds.
Demand Planning Optimization
Inventory forecasting model integrated with ERP to optimize restocking and reduce overhead by 15%.
Sales Conversion Scoring Platform
For a B2B lead generation company, we designed and deployed a predictive model that scored incoming leads based on historical deal data, behavioral signals, and industry type. The model, trained using PyTorch and orchestrated through Vertex AI, delivered lead scores in real time through a CRM-integrated API. This enabled sales teams to prioritize high-potential leads, resulting in a 22% improvement in conversion rates and a reduction in follow-up time of over 30%.