Machine Learning Engineer

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Roles and Responsibilities:

• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Technical expertise with data models, data mining, and segmentation techniques
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Designs data integrations and data quality framework.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

Experience & Qualification Requisite:

• Minimum 3 years of Experience working as a Machine Learning Engineer.
• The candidate should hold a bachelor’s degree in Computer Engineering or Computer Science from tier-1 colleges(IITs,NITs,IIITs)
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Strong problem-solving skills with an emphasis on product development.
• A good hands-on experience in feature engineering and dataset preparation is required.
• Proficient with Python Programming with 2 years of experience.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Expert in relational databases like SQL and NoSQL databases like MongoDB.