Job Location: Bangalore/Bengaluru
Roles and Responsibilities
– Develop and deploy ML models based on historical data that provide future predictions
– Work with customer centric mindset to deliver high quality business driven results
– Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving
– You will combine data sciences depth, programming expertise and mathematical understanding of techniques to deliver state-of-the-art ML solutions for problem solving across the Spoonshot
– You will demonstrate a product mindset and look to deliver re-usable components that can be deployed as or into ML services/productized solutions.
– You will partner closely with engineering, product management and analytics teams from across Spoonshot to deliver outstanding value to stakeholders and our products.
– Work with fellow Data Scientists, Engineers, and Business Users to build, deploy, and scale Data Science solutions
– Derive innovative solutions and publish them in the conferences
– Should communicate your idea or work to both technical and non-tech community very well
Desired Candidate Profile
– Masters/Bachelors in Computer Science(artificial intelligence, machine learning), mathematics or any other quantitative field from premier institutes with 4-6 years of experience or Phds with 1-2 years of experience
– Must have worked in fast paced environments like early stage startups
– Demonstrated real-world experience in building machine learning/Deep learning applications
– Proficient level of Python programming, ability to write scalable and reusable code
– Good understanding of Linear algebra, Probability/Statistics, Optimization, Graph theory, Combinatorics
– Must have strong foundations of classical machine learning techniques and Deep learning algorithms
– Well versed with different DL frameworks like Keras, Tensorflow, Pytorch
– Ability to identify challenges, build relationships, and communicate across functions and deliver successful solutions.
– Experience with code versioning, code review and documentation
– Ability to mentor junior data scientists
– Should possess skills to quickly understand the gist of the research paper
– Learn constantly and lead adoption of emerging technologies and approaches in their processes benefiting the organization
– Ability to both use existing libraries (ML, Deep Learning) as well as design algorithms ground-up
– Should have good understanding of SQL and PySpark or willing to learn the same
– Good to have exposure to real-world MLOps
Perks and Benefits
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