Principal Consultant- Advanced Analytics/ML/AI
- Genpact
- 1 to 3 Yrs
- Noida, Gurugram
- 4 years ago
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Job Description
*With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world s biggest brands and we have fun doing it. Now, we re calling all you rule-breakers and risk-takers who see the world differently and are bold enough to reinvent it.
Transformation happens here. Come, be a part of our exciting journey
Are you the one we are looking for
Inviting applications for the role of Principal Consultant Advanced analytics/ML/AI
In this role, you will be responsible for creating technical specification, developing a component or improving an existing module and deploying the same to QA post successful unit testing. You are encouraged to contribute to the vision, understand the product roadmap, integrate business value with experience and contribute to building an engineering culture within the team. You must be proficient in agile software development concepts.
Responsibilities
Hands-on work and delivery of Advanced analytics/ML/AI projects
Strong Analytical, Problem solving & critical thinking skills
Excellent knowledge in statistical techniques such and advanced machine learning algorithms- Regression, Decision Tree, Random Forest, SVM, XGBoost,Clustering, Time Series, Ensemble Learning, Recommendation engine, Neural Network, NLP
Good understanding in Large scale distributed systems, cloud computing (AWS/Azure/GCP)
Hands-on coding experience with Python
Understanding business objectives and developing AI models that help to achieve them, along with metrics to track their progress
Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world
Defining AI Model validation strategies
Defining the preprocessing or feature engineering to be done on a given dataset
Defining data augmentation pipelines
Training models and tuning their hyper-parameters
Analyzing the errors of the model and designing strategies to overcome them
Deployment of AI model to production at scale
Qualifications we seek in you
Minimum qualifications
BS/BE/B.Tech/MCA or equivalent
Preferred qualifications
Must have AI/ML work experience, python coding skills
Handle client interaction and documentation
Effective communicate in writing and verbally to senior management and client governance meetings
Experience in balancing client facing role and work assessments
Self-starter and have analytical, problem solving skills
Experience in AI/ML Engineer with Python will be preferred
Good conceptual knowledge and experience with visualizing data will be an added advantage
Knowledge of Pyspark and Parallel Programming would be added advantage
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.
,Employement Category:
Employement Type: Full timeIndustry: IT - SoftwareRole Category: General / Other SoftwareFunctional Area: Not ApplicableRole/Responsibilies: Principal Consultant- Advanced Analytics/ML/AIContact Details:
Company: GenpactLocation(s): Noida, Gurugram
Genpact
Genpact (NYSE: G) is a global professional services firm that makes business transformation real. We drive digital-led innovation and digitally-enabled intelligent operations for our clients, guided by our experience running thousands of processes primarily for Global Fortune 500 companies. We think...
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