Updated: 2nd Jul, 2023

Azodha is more than just a startup; we're engineers, experts, and passionate individuals committed to unscrambling the intricacies of healthtech. Our goal? To make healthcare accessible and intuitive for innovators, and to enable innovative care delivery models that improve health outcomes.

Healthcare is complex. Embrace the challenge of reshaping healthcare. Join us on our mission to redefine the boundaries of the digital health ecosystem.

At Azodha, you'll encounter incredible opportunities to unravel unique problems, work alongside brilliant minds, and create meaningful impact through your work. You'll help shape an industry, one solution at a time.

Product Manager

As a Product Manager at Azodha, you'll play a crucial role in our mission to revolutionize the digital health ecosystem. Here's a glimpse into your day-to-day responsibilities:

• Product Planning: Facilitate and manage the development of product roadmaps in collaboration with the team. Define project scope, goals, and deliverables that align with our business objectives.
• Market Research: Conduct continuous market analysis to understand industry trends, competitor offerings, and emerging technologies. Use this information to inform and influence our product development strategy.
• Customer Insights: Interface directly with users to gather insights and understand their needs and pain points. Use this feedback to help guide product development and improvements.
• Requirements Gathering: Collaborate with cross-functional teams to gather and define specific product requirements. This will include writing detailed user stories and requirements.
• Collaboration: Coordinate with engineering, design, and marketing teams to guide products from conception to launch. Ensure that all teams have what they need to meet product deadlines.
• Product Launches: Oversee and manage product releases. Coordinate with the marketing team to ensure successful product launch campaigns.
• Performance Tracking: Monitor key performance indicators (KPIs) post-launch to evaluate the product's market performance and success. Use these insights to inform future product improvements.
• Iteration: Based on performance data and user feedback, continually refine and iterate on the product to better meet user needs and business objectives.

ML Engineer

Join Azodha as a Machine Learning Engineer and play an critical role in shaping the future of healthtech. Your day-to-day responsibilities will include:

• Model Development: Develop, implement, and validate predictive models using various machine learning techniques. You'll work closely with our data scientists to create models that can drive innovation in healthcare.
• Data Processing: Handle preprocessing and cleaning of data to ensure the quality and reliability of our models. This includes identifying and engineering features from raw data that can be used to improve our machine learning models.