Designing and developing machine learning and deep learning systems
Running machine learning tests and experiments
Research and implement appropriate ML algorithms and tools
Develop machine learning applications according to requirements
Select appropriate datasets and data representation methods
Undertake pre-processing of structured and unstructured data
Identify valuable data sources and automate collection processes
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Collaborate with engineering and product development teams
Perform in depth analysis to resolve a business problem by employing the appropriate tools available in the enterprise.
Lead the development of AI/ML related products as it matures into lean, high performing agile teams.
Experience working with machine learning, artificial intelligence, and large datasets to drive insights and business value.
REQUIREMENTS:
Understanding of data structures, data modeling and software architecture
Proven experience as a Machine Learning Engineer or similar role
Deep knowledge of math, probability, statistics and algorithms
Ability to write robust code in Python, R and knowledge in Node and Java
Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Excellent communication skills
Ability to work in a team
Outstanding analytical and problem-solving skills
Experience in between 5-10 years.
Employement Category:
Employement Type: Full timeIndustry: Internet / E-CommerceRole Category: General / Other SoftwareFunctional Area: Not ApplicableRole/Responsibilies: Data Scientist