INFOVISION HIRING
Machine Learning Engineer Recruitment 2026
Gurugram | 3–7+ Years Experience | 6 Days Working
Infovision is looking for experienced Machine Learning Engineers to work on an AI and Data Science initiative. The opportunity is based in Gurugram and is suitable for professionals with 3–7+ years of experience in Python, machine learning algorithms, model development and production deployment.
Candidates with practical experience in Scikit-learn, Pandas, NumPy, PyTorch or TensorFlow, SQL, REST APIs and cloud platforms may consider applying.
Job Overview
| Company | Infovision |
| Position | Machine Learning Engineer |
| Job Location | Gurugram, Haryana |
| Experience | 3–7+ Years |
| Working Days | 6 Days a Week |
| Employment Type | Not specified |
| Salary / CTC | Not disclosed |
| Recruiter Contact | Prapti Patil |
Key Skills Required
- Python: Strong programming skills and experience with machine learning development.
- Machine Learning: Understanding of machine learning algorithms and model development.
- Data Science Libraries: Hands-on experience with Scikit-learn, Pandas and NumPy.
- Deep Learning: Knowledge of PyTorch or TensorFlow.
- Model Deployment: Experience deploying and maintaining machine learning models in production.
- Database and APIs: Good understanding of SQL and REST APIs.
- Cloud Platforms: Knowledge of cloud-based environments.
Additional / Preferred Skills
- MLOps practices and workflows.
- Docker containerization.
- Kubernetes orchestration.
- MLflow for experiment tracking and model lifecycle management.
Who Should Apply?
This opportunity is intended for experienced professionals with 3–7+ years of relevant experience in machine learning and AI. Candidates should have practical knowledge of Python, data processing, model training and deployment.
- Machine Learning Engineers with production project experience.
- Python Developers transitioning into AI and Data Science roles with relevant experience.
- AI Engineers familiar with model deployment and cloud technologies.
- Professionals comfortable with a six-day working schedule in Gurugram.
Machine Learning Interview Preparation
Prepare the following topics based on the advertised technical skills. These are suggested practice topics, not confirmed interview questions.
- Python: Data structures, decorators, generators, exception handling and NumPy operations.
- Machine Learning: Supervised vs. unsupervised learning, regression, classification, clustering and overfitting.
- Scikit-learn: Pipelines, preprocessing, train-test split, cross-validation and model evaluation.
- Pandas and NumPy: Data cleaning, missing values, DataFrames, vectorization and numerical operations.
- Deep Learning: Neural networks, backpropagation and the fundamentals of PyTorch or TensorFlow.
- MLOps: Model versioning, experiment tracking, model monitoring and MLflow.
- Deployment: Deploy a trained model using a REST API and Docker.
- Cloud and Kubernetes: Understand deployment environments, containers and scaling fundamentals.
Practical Project to Strengthen Your Profile
Build an end-to-end customer churn prediction system using Python, Pandas, NumPy and Scikit-learn. Train and evaluate a classification model, track experiments with MLflow, expose predictions through a REST API and package the application using Docker.
This project demonstrates the connection between data preparation, model development, evaluation and deployment. Use a public or synthetic dataset and explain your evaluation metrics honestly in your portfolio.
How to Apply for Infovision Jobs?
Interested candidates can share their updated CV with recruiter Prapti Patil using the contact details provided in the hiring announcement.
Send Resume via Email Contact Recruiter
Recruiter: Prapti Patil
Phone: 8097444014
Email: prapti.p@infovisionindia.in
Company Website
Visit the company website for additional information: www.infovisionindia.in
Disclaimer
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