Solutions / Machine Learning
Machine Learning Development Services
Build custom ML solutions with experts trusted by 1500+ companies. We help teams build everything from custom models to scalable multi-model production systems.
Get expert help for your Machine Learning project.
Machine learning development services
From data preparation to model deployment, our machine learning services cover every stage of the lifecycle and deliver measurable business impact.
AI Strategy & Architecture
Define the right ML roadmap, business alignment, and target architecture for production delivery.
Data Engineering for ML
Build robust data pipelines and feature-ready datasets for repeatable, high-quality model training.
Custom ML Model Development
Develop and evaluate models tailored to your data, constraints, and product requirements.
ML for NLP
Deliver language intelligence for search, extraction, summarization, classification, and conversational systems.
ML for Computer Vision
Implement image and video understanding systems for detection, recognition, and anomaly analysis.
Deep Learning Development
Build advanced neural architectures for high-complexity tasks where classical ML is not enough.
MLOps & Model Governance
Set up CI/CD for ML, monitoring, drift detection, and governance controls for stable operations.
ML for Predictive Analytics
Turn historical data into forward-looking decisions for risk, demand, churn, and growth planning.
Machine learning case studies
Hundreds of ML projects delivered from pilot to scale.
Summarized 10,000 legal transcripts daily with AI
We built an NLP-based solution that summarizes 200-300 page transcripts in seconds with anonymization and source traceability.
Automated GenAI video integration for campaign delivery
We connected AI video generation workflows to CRM campaigns with asynchronous delivery and contact-level personalization.
Built an IDE to simplify AI pipeline prototyping
We improved experimentation UX and backend scalability for an LLM pipeline development platform.
Our machine learning teams
Meet specialists across modeling, data engineering, and MLOps.
Samuel L.
Sr. ML Engineer ? 12 years ? PyTorch, TensorFlow, MLflow
Maria B.
Sr. Data Engineer ? 8 years ? Spark, Airflow, BigQuery
Juan G.
Sr. MLOps Engineer ? 10 years ? Kubeflow, Docker, Kubernetes
Gabriela M.
Sr. Data Scientist ? 15 years ? Scikit-learn, XGBoost
Marco H.
Sr. AI/ML Architect ? 13 years ? TFX, Terraform, Vertex AI
Machine learning capabilities
We cover the full ML stack and supporting platform layers.
Data Storage and Management
AWS S3 ? BigQuery ? Snowflake ? Delta Lake ? Redshift
Data Processing and ETL
Spark ? Airflow ? Kafka ? Databricks ? dbt
Model Development
PyTorch ? TensorFlow ? Scikit-learn ? XGBoost
Experiment Tracking
MLflow ? Weights & Biases ? DVC
Model Deployment and Serving
TorchServe ? TF Serving ? Ray Serve ? BentoML
MLOps and Automation
Kubernetes ? Docker ? Terraform ? GitHub Actions
Monitoring and Drift Detection
Prometheus ? Grafana ? Evidently ? Custom drift checks
Security and Governance
Access control ? Audit logs ? Compliance controls ? Model governance
Machine learning development process
How we deliver ML solutions that drive business value.
Problem Definition
Data Collection
Preprocessing
EDA
Feature Engineering
Model Selection
Model Training
Model Evaluation
Model Tuning
Deployment
Monitoring & Maintenance
Accelerate machine learning development and delivery with MA7 Solutions.
Schedule a CallMachine learning FAQ
What tech leaders ask about our ML development services:
Useful Machine Learning resources
Selected resources for ML strategy, engineering, and production systems.
Top Machine Learning Algorithms
From regression to neural networks, a practical overview for product teams.
Machine Learning in Fintech
How ML transforms fraud detection, personalization, and financial forecasting.
Machine Learning: What Can We Build?
High-impact ML product ideas and practical starting points for delivery teams.