Machine Learning Engineer

Allied Digital; Navi Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Allied Digital is seeking an experienced Machine Learning Engineer to design, develop, and deploy scalable AI/ML solutions. The role requires expertise in Python, ML/DL, NLP/LLMs, cloud platforms and MLOps practices.

You will build AI services across NLP, CV, and recommendation systems, deploy on cloud and containerized environments, and advance chatbot initiatives. The candidate will implement model versioning, monitoring, and retraining to ensure robust performance in production.

Qualifications

• Experience designing and deploying ML/AI models for real-world business use cases.
• Strong proficiency in Python and ML frameworks, including NLP/LLMs and cloud platform integration.

Responsibilities

• Design, develop, and deploy ML/AI models for business use cases.
• Build AI solutions in NLP, Computer Vision, Recommendation Systems, and Decision Intelligence.
• Deploy and manage AI models using cloud platforms and containerization technologies.
• Implement MLOps practices including model versioning, monitoring, and retraining.
• Develop scalable AI services and integrate them into production environments.
• Support AI-powered chatbot and automation initiatives.
• Monitor model performance and optimize accuracy and reliability.

Skills

Python, ML, DL

TensorFlow, PyTorch, Scikit-learn, XGX

NLP & LLMs (BERT, GPT, LLaMA)

Cloud platforms (AWS, Azure, GCP)

Docker, Kubernetes, REST APIs

MLOps, CI/CD, Monitoring & Versioning

Chatbot & Virtual Agent Development

Job description

Job Title: Machine Learning Engineer

We are looking for an experienced AI/ML Engineer to design, develop, and deploy scalable Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong expertise in Python, Machine Learning, Deep Learning, NLP, LLMs, cloud platforms, and MLOps practices.

Required Skills

• Python, Machine Learning, Deep Learning


• TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM.


• NLP & LLMs (BERT, GPT, LLaMA).


• AWS, Azure, GCP.


• Docker, Kubernetes, REST APIs.


• MLOps, CI/CD, Model Monitoring & Versioning.


• Chatbot and Virtual Agent Development.

Key Responsibilities

• Design, develop, and deploy ML/AI models for business use cases.


• Build AI solutions in NLP, Computer Vision, Recommendation Systems, and Decision Intelligence.


• Deploy and manage AI models using cloud platforms and containerization technologies.

Key Responsibilities

• Design, develop, and deploy ML/AI models for business use cases.


• Build AI solutions in NLP, Computer Vision, Recommendation Systems, and Decision Intelligence.


• Deploy and manage AI models using cloud platforms and containerization technologies.


• Implement MLOps practices including model versioning, monitoring, and retraining.


• Develop scalable AI services and integrate them into production environments.


• Support AI-powered chatbot and automation initiatives.


• Monitor model performance and optimize accuracy and reliability.