AI & MACHINE LEARNING

AI & Machine Learning Engineers

Senior ML engineers who design, train, deploy, and maintain AI systems that create measurable business value in production.

AI & Machine Learning Engineers
40+
ML Engineers
PhD
Level Research Depth
150+
Models in Production
5x
Faster Experimentation
WHAT WE OFFER

AI & Machine Learning Engineers Services

Comprehensive solutions built to solve real business challenges and deliver measurable, lasting results.

01

Deep Learning & Neural Networks

Transformer architectures, CNNs, RNNs, and attention mechanisms for classification, generation, and regression tasks.

02

Reinforcement Learning

RL agents for game playing, robotics control, recommendation systems, and supply chain optimization.

03

MLOps Engineering

Kubeflow, MLflow, Vertex AI, and SageMaker-based ML platforms for automated training, versioning, and deployment.

04

LLM Fine-Tuning & RAG

Fine-tune Llama, Mistral, and custom models on your data with LoRA/QLoRA and build RAG pipelines for enterprise AI.

05

Feature Engineering & Selection

Automated feature engineering, selection algorithms, and feature store design for faster model development.

06

Model Explainability (XAI)

SHAP values, LIME, counterfactual explanations, and model cards for interpretable, auditable AI systems.

07

Computer Vision Systems

Object detection, image segmentation, video analytics, and medical imaging AI using YOLO, SAM, and custom architectures.

08

Model Compression & Edge AI

Quantization, pruning, and distillation for deployment on edge devices, mobile apps, and latency-sensitive environments.

AI & Machine Learning Engineers
40+
ML Engineers
WHY CHOOSE US

Why Leading Businesses Choose TDP

We don't just deliver projects — we deliver outcomes. Our ai & machine learning expertise is proven across dozens of client engagements worldwide.

PhD-Level ML Talent

Our ML engineers include PhDs from top research institutions with publications in NeurIPS, ICML, and ICLR.

Production ML Specialists

We focus on ML that works in production, not just research demos — reliable, monitored, and maintainable.

Fast Experimentation Culture

Our ML teams use modern experiment tracking and AutoML tooling to iterate 5x faster than traditional approaches.

Business Impact Focus

Every ML project is tied to a business metric — we don't build models that don't move the needle.

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HOW WE WORK

Our Proven Delivery Process

A structured, transparent process honed across 200+ projects to consistently deliver on time and on budget.

01

Discovery & Scoping

Deep-dive into your goals, constraints, and success criteria. We define scope, timeline, and budget with precision before any work begins.

02

Strategy & Architecture

Technology selection, architecture design, and detailed project plan. No surprises — you approve the blueprint before execution starts.

03

Agile Delivery

Two-week sprints with weekly demos, live progress dashboards, and proactive communication throughout the entire engagement.

04

QA & Launch

Rigorous testing, stakeholder sign-off, and managed go-live with 30-day hypercare support after every production launch.

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Ready to Start Your Next Project?

Book a free consultation with our tech experts and discover how we can accelerate your business growth.

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