Head - Artificial Intelligence - eCommerce

The key criteria on the profile requirement:

1. Worked in Computer vision and deep learning projects

2. Proven code proficiency for computer vision and deep learning

3. Need to be independent contributor as well handle the teams

4. Experience creating Machine Learning/Algorithm related reports based upon the resulting work/accomplishments.

5. Published machine learning /algorithm reports and/or authored new procedures and methods to create innovative approaches to solve complex machine learning/algorithm issues

6. Experience with natural language processing techniques

7. Significant current experience (i.e., within last 3 years) in deep learning /algorithm-related work

Skills:

- Machine Learning, Artificial Intelligence, Algorithms & Data Structures

- Python, Machine Learning, Natural Language Processing, Decision Trees, scikit-learn, Apache Spark, AWS, Tensor Flow, Data Science, Scala

- 2+ years of research experience with 1+ years of core machine learning/AI experience

- Strong research background with deep expertise in building various deep learning/AI and statistical data models in Weka/Python/R/Java

- Excellent math education (math & data modelling, algorithms, regression analysis, statistics, probability theory).

- Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

- Advanced degree in the field of data science/computer science/mathematics/statistics will be a definite plus.

- Deep understanding of Statistics/Linear Algebra/Calculus and various optimization algorithms is a must.

- Hands-on experience on various supervised/semi-supervised/unsupervised ML/AI algorithms like SVM, Random Forests, Clustering, Linear/Logistic Regression, Classification, PCA, Time Series Forecasting, Deep Neural Nets and Sequential speech/language models.

- Strong leadership and influencing skills with an ability to crisply communicate/articulate model performance/experience results to Key stakeholder's and wider audience with appropriate visualization techniques

- Ardent data enthusiast with experience and interest in engaging with data science communities like Kaggle and various online forums.

- Ability to translate business needs into data requirements

- Experience working in Agile/Scrum environment is desired.

- Experienced in various forms of decision sciences and optimization software development

- Exceptional debugging, testing, and problem-solving skills

- Self-starter, with quick learning curve

- Strong written and verbal communication skills and an ability and interest to mentor other junior data scientists.

- Working experience within product development teams is a must

- Must have demonstrated work experience through multiple life cycles of a product within a single company.

- Must have demonstrated capabilities to create patentable ideas

- Good knowledge of machine learning, deep learning, neural networks, Tensorflow;

Expertise in machine learning/deep learning required. Specifically in at least three of these categories:

1. Base Tensorflow modeling

2. implementation of RNN- s

3. Unsupervised learning

4. Reinforcement learning