AI/ML Engineer

Architect Intelligent Systems, Automate Decisions & Scale Predictively

We engineer advanced artificial intelligence and machine learning solutions tailored for early-stage businesses and scaling enterprises. Our pre-vetted AI/ML engineers specialize in building production-ready predictive models, integrating large language models (LLMs), and designing secure data pipelines that turn complex enterprise data assets into measurable business value and operational efficiency.

Machine Learning & Deep Learning Engineers: Build and optimize predictive algorithms, recommendation engines, and neural network architectures using Python, PyTorch, and TensorFlow.
Generative AI & LLM Specialists: Implement, fine-tune, and deploy advanced Generative AI workflows, Retrieval-Augmented Generation (RAG) systems, and custom LLM applications.
Computer Vision & NLP Experts: Deploy sophisticated optical character recognition (OCR), object detection systems, sentiment analysis models, and conversational AI interfaces.
MLOps & Pipeline Engineers: Build reliable production pipelines for continuous model monitoring, automated retraining, and scalable deployments using Kubeflow, MLflow, and cloud environments.

Core Technical Expertise

Specialized data science and machine learning engineering built for enterprise scale.

Custom Model Development & Fine-Tuning

Expertise in data preprocessing, feature engineering, and training custom models or fine-tuning open-source LLMs (Llama, Mistral) to deliver high-accuracy outputs aligned with proprietary business rules.

End-to-End Enterprise RAG Architectures

Designing high-performance Retrieval-Augmented Generation systems using advanced vector databases (Pinecone, Milvus, ChromaDB) to allow secure, real-time contextual queries over internal corporate knowledge bases.

Production MLOps & Infrastructure Lifecycle

Automating the entire model lifecycle by implementing robust MLOps pipelines that manage data versioning, model registries, containerized inference deployment (Docker/Kubernetes), and drift monitoring.

Secure Data Engineering & Cloud Scaling

Constructing secure ETL data pipelines capable of processing massive datasets across cloud platforms (AWS SageMaker, Google Vertex AI, Azure ML), while prioritizing enterprise-grade data privacy and access governance.

The Vetting Process

How we source and verify elite AI/ML engineering talent for your team.

Rigorous Screening

Comprehensive evaluations analyzing English fluency, algorithmic communication skills, mid-market/enterprise operational alignment, and standard background verification.

Mathematical & Architectural Evaluation

Deep-dive technical assessment covering linear algebra, statistical modeling, data structures, neural network architectures, optimization algorithms, and validation strategies.

Live Practical Coding & Modeling

Hands-on technical assessments where candidates build functional data pipelines, debug model training configurations, write custom inference scripts, or implement vector searches under live peer review.

Final Panel Interview

Senior-level technical reviews evaluating production scalability strategies, token optimization, model inference latency mitigations, cloud deployment costs, and AI ethics/security frameworks.

Why Recruit with India

Eliminating the friction, high overheads, and risks of technical recruitment.

7-Day Risk-Free Trialing

Onboard your selected AI/ML engineer for a full week. If they aren’t a perfect technical or cultural fit for your data infrastructure and business initiatives, you pay absolutely nothing.

Zero Recruitment Fees

Simple, transparent flat monthly billing. Say goodbye to hidden placement fees, unexpected overhead costs, or restrictive talent buy-out contracts.

Direct Integration & Sync

Your remote engineers work directly inside your tech workspace—communicating natively via Slack, Microsoft Teams, Jira, and GitHub without middlemen.

Ready to Build Your Dream Team?

Book a 15-minute consultation with our engineering directors to discuss your tech stack and talent requirements.