Machine Learning Engineer

Job Title: Machine Learning Engineer Company: Neural Nurture Job Category: Machine Learning Roles & Responsibilities: Role Overview * ML Systems \& Infrastructure : Building robust training and inference pipelines, model serving, and monitoring systems. * NLP Engineering : Deploying and optimizing language models for tasks such as conversational AI, information extraction, and search. * MLOps : Establishing CI/CD for ML, experiment tracking, model versioning, and automated retraining workflows. Responsibilities * Design, build, and maintain end\-to\-end ML pipelines \- from data ingestion and feature engineering to model training, evaluation, and deployment. * Optimize models for latency, throughput, and cost in production environments. * Collaborate with Applied Scientists to translate research prototypes into production\-ready systems. * Build and maintain ML infrastructure including experiment tracking, model registries, and monitoring/alerting for model performance drift. * Develop APIs and services to expose ML capabilities to downstream applications. * Write clean, well\-tested, and documented code following engineering best practices. * Troubleshoot and debug issues across the full ML stack \- data, training, and serving. Work Location: Indore, Madhya Pradesh, India Availability: Full time

Qualifications * Bachelor's or Master's in Computer Science, Machine Learning, or a related field. * Strong programming skills in Python. * Experience building and deploying ML models in production environments. * Proficiency with Deep Learning frameworks (PyTorch preferred). * Solid understanding of ML fundamentals \- training, evaluation, overfitting, data leakage, etc. * Experience with ML pipeline/orchestration tools (e.g., Metaflow, Airflow, Kubeflow). * Familiarity with REST APIs, containerization (Docker), and cloud platforms (AWS/GCP). * Strong software engineering practices \- version control (Git), testing, code review. Preferred Qualifications At Neural Nurture, you will work alongside experienced researchers and engineers specializing in ML, NLP, and Computer Vision. You'll have the opportunity to build systems that directly power AI products while staying close to cutting\-edge research. Our collaborative environment values engineering excellence and provides hands\-on mentorship, helping you grow as an ML professional with experience spanning both research\-driven and production\-grade systems. Compensation: Base salary for this full\-time position ranges from ₹3L to ₹5L, along with performance bonuses, equity, and benefits. Compensation is determined based on role, level, and location. Individual pay within the range is influenced by factors such as work location, relevant skills, experience, and educational background. Key Skills: Machine Learning, Python, PyTorch, Model Training, Feature Engineering, NLP, Computer Vision Salary: Not disclosed