Experience:
• Should have software development and practical experience in the field of Machine Learning
• Deep understanding of machine learning models, data analysis, and both supervised and unsupervised learning methods
• Understanding of the Deep Neural Networks
• Experience in at least one programming language such as C++, Python or GO
• Experience with Big Data technologies – Hadoop / Presto / BigQuery
• Keeping up with latest research and top industry standards and the ability to learn quickly new technics and tools is essential for this position.
• Proficiency with a deep learning framework such as TensorFlow / Keras OR pytorch
• Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas
• Expertise in visualizing and manipulating big datasets
• Familiarity with Linux
• Ability to select hardware to run an ML model with the required latency
Responsibilities:
• Design and architect machine learning models.
• Explanatory data analysis.
• Should be able to Handle the end to end Products.
• Research and implement appropriate ML algorithms.
• Develop machine learning applications according to the product requirements.
• Select appropriate datasets and data representation methods as per the requirements.
• Train and retrain systems when necessary.
• Perform statistical analysis and fine-tuning using test results.
Skills & Abilities
• Great interpersonal skills
• Good oral and written communication skills.
• Proficiency in problem solving and proven ability to perform complex engineering analysis
• Must be self-motivated and able to work with minimal guidance to make decisions and report progress
• Demonstrated leadership role in projects, including ability to provide guidance and direction on the project to less experienced technical personnel
• Proven record in working on innovative/creative projects at work or spare time is a plus
• Beyond existing skills, the ability to learn quickly new skills and domains is essential for this position.
Job Location: Delhi NCR
Experience: 2 years to 7 years
Salary: Based on Experience and skills
Source
No comments:
Post a Comment