1. Research and implement appropriate ML algorithms and tools
2. Develop machine learning applications according to requirements
3. Perform machine learning tests and experiments. Model training, hyperparameter tuning, optimization
4. Perform statistical analysis and fine-tuning using test results
5. Working on daily documentation of tasks performed
Skills & Requirements:
1. Candidates pursuing bachelor's degree M.sc/B.Sc,(B.E)/M.E/PhD. having strong technical knowledge and experience in machine learning/deep learning/data science
2. Should have a basic understanding of IoT
3. Should be proficient in Python and related packages
4. Understanding of data structures, data modeling, and software architecture
5. Should have experience with any machine/deep learning framework such as Tensorflow, Keras, and PyTorch
6. The ability to analyze, model and interpret data
7. Should have an understanding of supervised, unsupervised algorithms, and deep learning algorithms
8. Should have knowledge of mathematics, probability, statistics, and algorithms
9. Should be experienced with training custom models, and hyperparameter tuning
10. Should be able to produce solutions independently in an organized manner and also be able to work in the R&D team, a basic understanding of IoT is an add-on
11. Final semester candidates are not eligible
Skill(s) required
Data AnalyticsData ScienceDeep LearningMachine LearningNeural NetworksPythonStatistical Modeling
The Kalyani Group is a privately held industrial group in India. It is focused on four primary sectors, viz. engineering steel, automotive & non-automotive components, renewable energy & infrastructure, and specialty chemicals. It has also made strides into defense manufacturing, which has been showcased in DefExpo 2020. The group's annual turnover exceeded USD 2.5 billion as of 2011 and has joint ventures with companies such as Meritor, Carpenter Technology Corporation, Hayes Lemmerz, FAW Corp, etc.