Design, implement, and maintain machine learning systems. Collaborate with data experts and transform business problems into data problems through statistical modeling and analysis.
This is a remote position.
Responsibilities
- You will be responsible for designing, implementing, monitoring and maintaining our machine learning systems
- You will be working in a highly-collaborative environment with other experts in data science and engineering
- Transform business problems into data problems
- Research and build statistical/machine-learning models
- Perform Exploratory Data Analysis and Statistical Analysis; clearly present the results of an analysis to customers and management
Requirements
Must Have Skills:
- Master’s Degree in Computer Science, Mathematics, Statistics or a related quantitative field with a focus on Machine Learning or Deep Learning. Ph.D. preferred
- 3+ years of professional experience as a Machine Learning Engineer/Data Scientist; in a product development setting
- Hands-on experience with software development, including translating ML models into scalable production services
- Good intuitive understanding of machine learning algorithms and practical experience building models with incremental/iterative approach
- Strong in Python
- Experience in implementing machine learning algorithms using APIs/libraries from scikit-learn, H2O, MLlib and TensorFlow
- Hands-on experience with software development, including translating ML models into scalable production services
- Experience in working with large data sets and pipelines, distributed systems for machine learning using frameworks such as Apache Spark
- Excellent verbal and written communication skills
- You take complete ownership of your work and are self-driven
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What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
