Developer

Role - Developer - AI/ML,Python

Required Technical Skill Set - AI/ML,Python

Experience Range - 4 to 7 years

Location - Bangalore

JD:

• Understand business process/ business problems and device Machine Learning solutions to optimize business processes wherever possible.
• Formulating machine learning solutions to business metrics, designing features from the data available from many large data sources, training, evaluating, and deploying models in production
• Developing high-performance algorithms for precision targeting, testing, and implementing these algorithms in scalable, production-ready code; Interacting with other teams to define interfaces and understanding and resolving dependencies.
• Developing coding in high-level languages such as R, Python, Java
• Architect ML solutions in cloud infrastructure
• Lead team of Junior ML engineers and Data Scientists for PoC and AI/ML solution prototypes
• Bachelor's or higher computational science with an emphasis in Machine Learning
• Minimum 5 years of experience of writing production quality code.
• Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods
• Experience with end-to-end modelling projects emerging from research efforts.
• Experience in creating large data feature stores for Machine learning in Teradata or similar databases.
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Experience with data visualization tools, such as D3.js, GGplot, etc.
• Your GitHub/Kaggle profile showing a project or problems you've tackled.
• Experience with deploying ML models in production.
• Developer / Architect Certification in AWS or Azure
• Implementation experience with high-level languages, such as R, Python, Perl, Ruby, Scala, or similar scripting languages.
• Strong hands-on skills in sourcing, cleaning, manipulating, and analysing large volumes of data.
• Architecture and programing knowledge of data processing on big data environments (e.g. Spark/Hive/Pig).