ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (AI/ML )ENGINEER

About the Role

We are seeking an ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (AI/ML) ENGINEER with experience in Python and working with large datasets for statistical analysis. The ideal candidate will have the capability to identify and troubleshoot potential business issues, along with hands-on experience in Data Science/Machine Learning. A familiarity with a broad set of modeling techniques, aptitude in mathematics, probability, algorithms, experimentation methods, and hypothesis testing is essential. This role requires the ability to write production-level code and experience in pushing machine learning models to production.

Responsibilities

• Apply supervised and unsupervised machine learning techniques, such as linear and logistic regression, decision trees, k-means clustering, ensemble models, and Neural Networks.
• Develop analyses for segmentation, propensity models, KPI deep dives, marketing efficiency, behavioral clustering, customer lifetime value, and customer journey analytics.
• Curate audiences and inform engagement tactics to enable differentiated, relevant marketing touches across CRM channels (email, in-app, push).
• Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide indicated actions for executive audiences.
• Capture business requirements for data and analytic solutions and collaborate with the Marketing team to ensure business requirements align with business needs.
• Analyze content promotions and surface insights that will help drive viewership and a more loyal customer base.
• Support day-to-day collaboration with Marketing to communicate insights and recommend data-informed strategies.
• Participate in data architecture decisions and partner with technology teams to implement models/algorithms in production.
• Manage the continuous improvement of data science and analytics by researching industry best practices and staying up-to-date on analytical practices.
• Integrate data science solutions into current business processes.

Requirements

• 3+ years of experience building data science models (Regression, Decision Trees, K-Means, ensemble models, Neural Networks, etc.).
• 3+ years of hands-on experience with commercial applications of machine learning.
• Hands-on experience with Text mining and Computer vision techniques.
• Experience with large data sets and analytical tools.
• Proficiency in scripting languages (SQL, Python, R, etc.).
• Knowledge of Big Data Tools: Real Time streaming engines, Messaging Queues, Hadoop, PySpark (added advantage).
• Prior experience working any cloud infrastructures such as AWS, GCP, Azure.
• Knowledge of a dashboarding language (Tableau, Looker, etc.) or equivalent report building experience (not required but a plus).
• Strong curiosity, leadership, and business acumen.
• Passionate about using data to drive strategy and product recommendations.
• Experience in Media company, subscription-based businesses, or eCommerce preferred.
• In-depth knowledge of statistics and machine learning algorithms.
• Curious and careful about the business impact of their work.
• Able to work collaboratively and proactively alongside scientists, engineers, and analysts.
• Experience in deep learning, causal inference, uplift modeling, or econometrics is a bonus.
• Good Python programming skills, intimate with the Python data science stack.
• Knowledge of best practices for software development and data organization, and pleasure in working in an open-source environment (Github is at the core of our workflow).
• Experience with Microservices and model productionisation with Containers (like Docker) will be advantageous.