ML Engineer

1 week ago

Mumbai, Maharashtra, India Quest Global Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Job Requirements

At Quest Global, it's not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Key Responsibilities
Design and implement data pipelines to collect, clean, and transform data from a variety of sources. 
Implement and deploy machine learning and deep learning models for a variety of use cases. 
Collaborate with product and engineering teams to integrate models into end-user applications and services. 
Develop and implement data quality metrics and processes to ensure the accuracy and completeness of analytics data
 

Required Skills

Proficiency with Data Analytics, Data Science, and AI Frameworks like Spark, scikit-learn, Pytorch/tensorflow, pandas, numpy, Kafka. 
Experience with Cloud Computing Platforms like AWS, GCP, or Azure is a plus.

Minimum Educational Qualification

Bachelor's degree in Computer Science, Electrical / Electronics Engineering, Data Science, or Applied Mathematics.  

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

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