| Hyderabad Jobs |
| Banglore Jobs |
| Chennai Jobs |
| Delhi Jobs |
| Ahmedabad Jobs |
| Mumbai Jobs |
| Pune Jobs |
| Vijayawada Jobs |
| Gurgaon Jobs |
| Noida Jobs |
| Hyderabad Jobs |
| Banglore Jobs |
| Chennai Jobs |
| Delhi Jobs |
| Ahmedabad Jobs |
| Mumbai Jobs |
| Pune Jobs |
| Vijayawada Jobs |
| Gurgaon Jobs |
| Noida Jobs |
| Oil & Gas Jobs |
| Banking Jobs |
| Construction Jobs |
| Top Management Jobs |
| IT - Software Jobs |
| Medical Healthcare Jobs |
| Purchase / Logistics Jobs |
| Sales |
| Ajax Jobs |
| Designing Jobs |
| ASP .NET Jobs |
| Java Jobs |
| MySQL Jobs |
| Sap hr Jobs |
| Software Testing Jobs |
| Html Jobs |
| Job Location | Chennai |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Education / Training |
| Functional Area | General / Other Software |
| EmploymentType | Full-time |
Only candidates from IIT /NIT may apply.- We are looking for an expert in machine learning.- You will lead all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.- The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.Responsibilities :- Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress- Managing available resources such as hardware, data, and personnel so that deadlines are met- Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability- Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world- Verifying data quality, and/or ensuring it via data cleaning- Supervising the data acquisition process if more data is needed- Finding available datasets online that could be used for training- Defining validation strategies- Defining the preprocessing or feature engineering to be done on a given dataset- Defining data augmentation pipelines- Training models and tuning their hyperparameters- Analyzing the errors of the model and designing strategies to overcome them- Deploying models to productionSkills :- Proficiency with a deep learning framework such as TensorFlow or Keras- Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas- Expertise in visualizing and manipulating big datasets- Proficiency with OpenCV- Proficincy with computer vision- Ability to select hardware to run an ML model with the required latency,
Keyskills :
data qualitydeep learningdata collectionmachine learningdata acquisitionartificial intelligencebasicidealpythonmetricstraininghardwarebusinessvalidationalgorithmsengineeringsupervision