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Urgent! Applied ML - Engineer Job Opening In Mumbai – Now Hiring TIH | IIT Bombay
Job Description:
- Development, adaptation, and implementation of AI/ML algorithms and frameworks, Prediction algorithms
- Developing deep learning and machine learning algorithms (CNN, object detection, segmentation, SVM, AE)
- Time series forecasting: AR, ARIMA, SARIMA, ES, Prophet, LSTM
- Conduct data preprocessing, augmentation, and annotation workflows for image datasets.
- Design, train, and validate deep learning architectures for feature identification using CNN, ResNet,
- EfficientNet, YOLO, U-Net, Mask R-CNN, ViT/Swin Transformer.
- Develop clean, modular, and production-ready code for model training, inference, and deployment.
- Collaborate with domain experts to translate agricultural knowledge into AI models.
- Support integration of models with mobile application (through APIs and deployment-ready formats like TensorFlow Lite / ONNX).
- Write unit tests, integration tests, and documentation to support long-term use of the framework.
- Document methodologies, benchmarking reports, and prepare technical handover materials.
Minimum Qualifications and Experience:
- B.Tech in Computer Science, Electronics and Communications or any related field with 3-5 years of relevant experience
OR
- M.Tech in Computer Science, Electronics and Communications or any related field with 2-3 years of relevant experience
Required Expertise:
- Strong hands-on experience with Python and ML/DL frameworks (PyTorch, TensorFlow, Keras).
- Proficiency in computer vision techniques – CNNs, object detection (YOLO/SSD), segmentation (U-Net/Mask R-CNN), Vision Transformers (ViT, Swin Transformer, DeiT).
- Libraries: NumPy, Pandas, OpenCV, Scikit-learn, Matplotlib/Seaborn.
- Knowledge of model optimization for deployment (quantization, pruning, TensorFlow Lite, ONNX).
- Experience in developing APIs (Flask/FastAPI) for model serving.
- Familiarity with ETL processes, data pipelines, and statistical validation methods.
- Basic understanding of Docker and version control (Git) and experience with MLOps tools
- Ability to write production-grade Python code following best practices (modular design, logging, testing, error handling)
- Understanding of statistical analysis such as normality test, dicky fuller test etc
Location of work:
- TIH-IoT, IIT Bombay Campus, Powai, Mumbai 400076.
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Unlock Your Applied ML Potential: Insight & Career Growth Guide
Real-time Applied ML Jobs Trends in Mumbai, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Applied ML in Mumbai, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 14561 jobs in India and 311 jobs in Mumbai. This comprehensive analysis highlights market share and opportunities for professionals in Applied ML roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! TIH | IIT Bombay is currently hiring and seeking a Applied ML Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Applied ML Engineer Jobs Mumbai.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at TIH | IIT Bombay adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Applied ML Engineer Jobs India varies, but the pay scale is rated "Standard" in Mumbai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Applied ML Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Applied ML Engineer interview at TIH | IIT Bombay, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the TIH | IIT Bombay's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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