AI/ML Engineer

Job Summary

Job Type: Full-Time
Work Mode: On-site (initially Work From Home until the office opens)
Experience: 1+ Years in Production Machine Learning

We are looking for skilled AI/ML Engineers to design, develop, train, and deploy machine learning models for real-world enterprise applications. The ideal candidate should have hands-on experience deploying ML models into production, building scalable ML pipelines, and implementing MLOps practices.

This role focuses on production ML engineering, including time-series forecasting, anomaly detection, model monitoring, and inference optimization.

Key Responsibilities

• Design, train, test, and deploy production-ready machine learning models.
• Develop end-to-end ML pipelines, from data ingestion and preprocessing to model serving and inference.
• Build feature engineering pipelines and scalable MLOps workflows.
• Implement model monitoring, drift detection, automated retraining, and performance tracking.
• Conduct A/B testing and evaluate model accuracy, latency, reliability, and scalability.
• Integrate machine learning models with backend APIs, frontend applications, and customer dashboards.
• Optimize models for inference speed, memory usage, and cloud deployment costs.
• Implement model explainability, bias detection, monitoring, and alerting mechanisms.
• Collaborate with senior AI engineers on RAG pipelines, LLM orchestration, and agentic AI systems.

Required Skills

• Strong programming skills in Python.
• Hands-on experience with PyTorch or TensorFlow and Scikit-learn.
• Practical experience deploying ML models into production environments.
• Knowledge of MLOps tools, including MLflow or Kubeflow.
• Experience with Docker and cloud ML platforms such as AWS SageMaker, GCP, or Azure.
• Strong understanding of Pandas, SQL, ETL pipelines, and feature engineering.
• Experience with model monitoring, automated retraining, A/B testing, and inference optimization.
• Ability to build and maintain reliable, scalable machine learning solutions.

Preferred Skills

• Experience in time-series forecasting, anomaly detection, or causal inference.
• Knowledge of feature stores and real-time data processing.
• Exposure to RAG pipelines, Large Language Models (LLMs), and agentic AI systems.
• Experience optimizing production ML models for enterprise-scale applications.

Work Schedule

• Monday to Friday: Office-based work.
• Saturday: Work From Home.
• Working hours: 10:00 AM – 7:00 PM.
• Until the new Hyderabad office is ready, the role will initially operate on a Work From Home basis.
• After the office opens, Monday to Friday attendance at the Hyderabad office will be required.

Important: This is not a permanent hybrid or remote position.

Pay: Up to ₹1,000,000.00 per year

Ability to commute/relocate:

• Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required)

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Experience:

• Production Machine Learning: 1 year (Required)

Work Location: In person