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Machine Learning Development

Production ML engineering: models, pipelines, MLOps and monitoring to deliver measurable outcomes.

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Machine Learning Development

Technopedia builds ML systems that move beyond prototypes into reliable, observable production services — from data readiness to inference at scale.

  • Robust model engineering and evaluation
  • Production-grade MLOps and CI/CD
  • Monitoring, drift detection & explainability
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ML Solutions

At Technopedia we build ML systems that are maintainable, well-instrumented and aligned with product outcomes.

  • Data pipelines and feature stores
  • Experimentation & hyperparameter search
  • Model registry & reproducibility
  • Autoscaling inference & cost engineering
  • Explainability and governance
ML Screens

Why Choose Our ML Team

We pair data engineering, MLE and SRE practices to deliver models that are reliable, cost-efficient and maintainable in production.

Our Machine Learning Services

Custom Model Development

From classical ML to deep learning — models engineered and validated for your domain.

Data Engineering & Feature Stores

Reliable pipelines, ETL, feature stores and embedding services so models train on trusted inputs.

MLOps & CI/CD

Automated training, reproducible experiments, model registry and deployment pipelines for scale.

Inference & Serving

Scalable, low-latency inference with autoscaling, batching and async workers for efficient cost/throughput.

Interpretability & Monitoring

Explainability, metrics, drift detection and alerting so teams can trust and maintain models.

Model Architecture & Optimization

Architecture review, pruning, quantization and optimization to meet latency and cost targets.

Technologies & Tooling

PyTorch
TensorFlow
Kubeflow
MLflow
Triton
Seldon

Our Development Process

1

Discovery & Data Audit

Profile data, define KPIs and identify gaps.

2

Feature Engineering & Pipelines

Build reproducible features & stores.

3

Model Prototyping & Experiments

Iterate model candidates and track metrics.

4

Evaluation & Robustness

Bias checks, explainability and stress tests.

5

Productionization & MLOps

CI/CD, registries and reproducible training.

6

Monitoring & Drift Detection

Telemetry, alerts and data drift checks.

7

Maintain, Optimize & Scale

Retrain, optimize cost and handover.

About Us

At Technopedia, we transform ideas into powerful digital solutions. Our passion for innovation drives us to create cutting-edge applications that define the future of technology.

Years of Innovation
Projects Completed
Active Clients
Team Advisors

Our Journey of Excellence

Technopedia team working since long in Information Technology. We have more than 500 satisfied clients. For the past years we, along with our team have made a strong ground in the IT industry. The Websites , Web and Mobile Applications that we've developed over the years has left many satisfied customers around the world. We are continuously working on acquiring new skills and mastering the present ones.

Technopedia aims in innovating a digital future by developing technology for the web and mobile platforms. From our beginning as a technology development company, we've tried to stay true to our core beliefs and to deliver exceptional services to our clients.

Mobile AppsWeb DevelopmentCloud SolutionsUI/UX DesignDevOps
Team Collaboration

Our Technology Stack

React
React
Angular
Angular
Vue.js
Vue.js
Node.js
Node.js
Flutter
Flutter
Javascript
Javascript
Typescript
Typescript
HTML
HTML
CSS
CSS
Sass
Sass
Figma
Figma
Bootstrap
Bootstrap
Express.js
Express.js
MongoDB
MongoDB
MySQL
MySQL
Firebase
Firebase
wordpress
wordpress
Next.js
Next.js
PHP
PHP
Git
Git
GitHub
GitHub
GitLab
GitLab
Jest
Jest
Jenkins
Jenkins
Docker
Docker
Kubernetes
Kubernetes

What Our Clients Say

Our Work, Their Words on Upwork

Our Premium Clients

Microsoft
FedEx
Cougar
BEF
Airbnb
Google
Shri
Google
Google
we did it
iwebroute
Saap
dimond
ssw
kenstar
hayundai

Frequently Asked Questions

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