Genpact a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients.

Genpact inviting applications for the role of  Software Business Analyst – Machine Learning Engineer.

Job Designation : Business Analyst – Machine Learning Engineer

Qualification : Bachelor’s / Master’s degree

Experience : Freshers / experienced

Skill Set :

1. Expertise in Python, R or another scripting language.
2. Proficient in writing complex, highly optimized SQL queries.
3. Strong knowledge with Python, Snowflake and AWS infrastructure.  
4. Domain knowledge of cognitive psychology/neuroscience.
5. Familiar with deep learning and neural network development.
6. Experience with reporting to enable explanatory and exploratory analytics .
7. Familiarity with psychometric analyses of cognitive/behavioural tasks, psychophysics, signal detection.
8. Understanding of privacy and security regulations (e.g., GDPR, HiTrust, HIPAA) 
9. Have experience with reporting tools ( Eg: Tableau / Looker)
10. Exceptional debugging, testing, and problem-solving skills.
11. Strong communication and teamwork skills.

Job Description :

In this role, Machine Learning Engineer will be responsible for designing and implementing data products and will help people with unmet medical needs, including those who wish to quit smoking, those with major depression disorder, and those with schizophrenia—ultimately improving lives through engineering.  

1. Take ownership of end-to-end predictive modelling projects which includes data processing, building machine learning models.
2. Build and maintain ML Cloud infrastructure using ML flow platforms (preferably Data bricks, Snowflake, dbt, Dynamo DB, Lambda).
3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful insights.
4. Assist in building models using emerging methodologies for product improvements and better health outcomes across products.
5. Overall goal is to drive a data driven culture across different teams. 
6. Collaborate with Product, Engineering, Science, Data Analysts and Data Engineers to implement rich and re-usable datasets/metrics.
7. Strong attitude towards automating routine tasks via coding/scripting and willing to learn new things.  

Location : Gurugram, India