Job Description

We are seeking an experienced

AI / ML Lead

to design, develop, and deploy scalable artificial intelligence and machine learning solutions. The ideal candidate will have strong expertise across the full AI/ML lifecycle--from research and prototyping to production deployment--along with hands-on leadership in advanced model development, optimization, and MLOps practices.

This role requires deep technical proficiency, research orientation, and the ability to evaluate and implement emerging AI technologies in real-world business use cases.

Educational Qualifications

BTech / MTech / M.S. / Ph.D. in

Computer Science, Artificial Intelligence, Machine Learning

, or a related field Advanced AI/ML certifications preferred (e.g.,

TensorFlow Developer, AWS ML Engineer

) Research papers, case studies, patents, or significant

open-source contributions

are a strong plus

Experience Requirements

7+ years

of overall professional experience in AI/ML solution development Proven track record of delivering

end-to-end AI/ML use cases

, from ideation and prototyping to production deployment Experience leading or mentoring AI/ML engineers and collaborating with cross-functional teams

Key Responsibilities

Architect, develop, and deploy advanced AI/ML models for production-grade systems Lead model experimentation, evaluation, and performance optimization Fine-tune foundation models and large language models for domain-specific use cases Design scalable MLOps pipelines for training, deployment, monitoring, and retraining Optimize models for performance, cost, and latency in cloud and edge environments Conduct literature reviews, experimental design, and applied research Evaluate emerging AI technologies and recommend adoption strategies

Technical CompetenciesAI / ML Expertise

Deep learning architectures:

CNN, RNN, Transformers

Reinforcement learning, transfer learning, and foundation model fine-tuning

Model Development & Frameworks

TensorFlow, PyTorch, Hugging Face, MLflow

Advanced hyperparameter tuning and neural architecture search

Programming Languages

Python (expert level)

R for statistical modeling C++ for performance optimization CUDA for GPU programming

Model Optimization & Inference

Quantization, pruning, knowledge distillation ONNX, TensorRT, and inference optimization techniques

Cloud AI Platforms

AWS SageMaker, Azure ML, GCP Vertex AI

Distributed training and cloud-native AI architectures

MLOps & Deployment

Docker, Kubernetes Model serving:

TorchServe, TensorFlow Serving

CI/CD pipelines for ML Production monitoring and model lifecycle management

Specialized AI Domains

Natural Language Processing:

BERT, GPT, LLM fine-tuning

Computer Vision:

YOLO, ResNet

Time Series:

LSTM, Prophet

Generative AI

applications

Preferred Skills

Strong analytical and problem-solving abilities Research-driven mindset with business impact focus Excellent communication and technical documentation skills Ability to work in fast-paced, innovation-driven environments
Job Types: Full-time, Contractual / Temporary, Freelance

Pay: ?70,000.00 - ?90,000.00 per month

Work Location: Remote