Graduate Program Overview

JOB OVERVIEW

The selected candidate will assist Data science team, Development team and Project manager in the execution of various projects for clients. Specifically, this position requires working with large amounts of data that need to be standardized and transformed into database across secure computing environments. The position requires working independently, co-ordinating with team members and clients spread across different time zones.

KEY RESPONSIBILITIES

• The candidates in graduate program is expected to consult with project managers to determine and refine the tasks and objectives.

• Develop end-to-end data analytics, data wrangling, data modelling and reporting for the research which are designed, tested, implemented, maintained, and controlled by multiple stakeholders.

• Transforming data science prototypes and applying appropriate ML/DL algorithms and tools.

• Ensuring that algorithms generate accurate user-oriented results

• Develop, test, and deploy data extract, transform and load (ETL or ELT) pipelines using technical stack - PostgreSQL, Python, Docker.

• Designing and developing conversational AI pipeline and testing existing ones.

• Effectively identify, prioritize and communicate data requirements supporting analytics that deliver key business insights.

• Collaborate and communicate results to scientific, business and editorial stakeholders.

• Ability to execute your research independently with reliability and reproducibility.

• Identify data quality issues using exploratory data analysis (EDA) and visualizations.

• Ability to work in agile project management and implement new tools and technologies in the project.

• Develop a deep understanding of GitHub and JIRA.

• Staying up-to-date with the developments in machine learning, deep learning or other related fields in the best interest of our organization. (CGD Health)

SELECTION CRITERIA

• Candidate should be enrolled in final year of B. E or B. Tech with majors in computer science, IT or Biomedical Engineering.

• Education: At least 80% or 8.0/10 CGPA during Bachelor's degree.

• Advanced programming skills in SQL, Python, and R (R not mandatory).

• A deep understanding of Database technologies and tools, Data Warehousing, transformation and data processing. (Required)

• Ability to query and analyze data using SQL, including stored procedures, functions, sequences, and advanced SQL queries. (Required)

• Knowledge about Machine Learning, Deep Learning/Artificial Intelligence, statistical skills is highly recommended. (Required)

• Experience in writing effective scalable code and debug the same.

• Strong written and communication skills.

DISCLAIMER

It is not the intention of this job advertisement to limit the scope of the job but to emphasise the key aspects of the job. The aspects mentioned above may be changed depending on the client requirements.

HOW TO APPLY

Please fill the application form below and attach your CV and transcripts.