Job Description

Recruiting an

AI/ML Developer

in India requires more depth than traditional software hiring--due to the intersection of software engineering, data science, and applied research. Here's a strategic framework tailored for startup founders like you in India:

1. Define the Exact Role You're Hiring

AI/ML Roles in Demand:Role VariantTech Skills RequiredIdeal Use Case

ML Engineer

Python, scikit-learn, TensorFlow, model deploymentProductionizing ML models

Data Scientist

Python, Pandas, SQL, EDA, statistical modelingExploratory insights and PoCs

AI Research Engineer

PyTorch, NLP/CV libraries, paper implementationR&D, product innovation

MLOps Engineer

Docker, Kubernetes, MLFlow, CI/CD, AWS/GCPModel lifecycle & deployment Tip: If your startup has no mature ML pipeline yet, prioritize ML Engineers or full-stack AI developers who can build end-to-end.

2. Candidate Sourcing Strategy

Best Platforms:

LinkedIn & GitHub

(look for contributions to ML repos)

Kaggle

(look for Competitions > Top 10% performers)

Communities

: AI Saturdays (India chapters) PyData / TensorFlow India Reddit: r/MachineLearningIndia

Job Boards

: AngelList, Hirect, CutShort, Internshala (for juniors)

Colleges

: IIITs, IITs, BITS, DS/AI-specific PG programs (IISc, Great Learning, UpGrad, etc.)

Model Lifecycle

: preprocessing ? training ? evaluation ? deployment

ML Concepts

: overfitting, bias-variance, cross-validation, regularization

ML Engineering

: FastAPI, REST API, Docker, GCP/AWS

Deep Learning

(if applicable): CNN, RNN, Transformers

Real-World Scenarios

: "How would you design a demand forecasting system for ecommerce?"
Job Type: Full-time

Pay: ?5,000.00 - ?20,000.00 per month

Schedule:

Day shift
Work Location: In person