Responsibilities: 

• Extract analysis/insights on given data using Data Mining and exploratory data analysis method. 


• Designing and deploying Machine Learning Algorithms - both Shallow learning models and Deep learning models.


• Develop custom data models and algorithms to apply to data sets.


• Assess the effectiveness and accuracy of new data sources and data gathering techniques. 


• Develop processes and tools to monitor and analyze model performance and data accuracy. 


• Collaborate with data and subject matter experts throughout the organization to identify opportunities for leveraging data to drive business solutions.


• Understand the Distributed Ecosystem/Cloud computing services and deploy ML models on the same. 

Qualifications: 

• 2+ years of work experience with BS or MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Specialization in machine learning is preferred. 


• Experience with data cleansing, data engineering, data quality assessment, and using analytics for data assessment. 


• 2+ years of experience in Object oriented programming concepts - Java, Scala etc. 


• Hands on Experience in Data science programming skills - Python, R 


• Proven work experience of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. 


• Experience of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. 


• Having experience in developing some use cases related to Cyber Security. 


• Familiarity with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Flink, Spark, Cassandra, etc.


• Hands on experience with Keras/Tensorflow.


• Hands on experience with PyTorch


• Hands on experience with SciKit Learn


• Practical experience with ML Operations tooling including MLflow, Sagemaker, or Databricks.


•  Experience in visualizing/presenting data for stakeholders using: Matplotlib, seaborn, ggplot or any data visualization tool. 


• Work along with Senior and Stake holders to capture the requirements and execute it in Agile methodology. 


• Java knowledge would be add-on. 


• Good communication skills and a Team player.