Business Analyst - Data Science

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. Come, transform with us.

Inviting applications for the role of an BA, AI Engineer, Internship with Data Science and Insights.

We are looking for a candidate who is technologically savvy with deep maths background, Curious and passionate to solve business problems with an exposure to Machine Learning & Quantitative Methods

Responsibilities

The AI Engineer is expected to leverage his/her expertise to translate the customer’s business need into a techno-analytic problem and appropriately work with the team of specialists to bring large scale AI solution to fruition.

The key responsibilities of the AI Engineer are:

• Creation of cutting edge models for understanding vast amounts of textual, numeric, graphic and speech data

• Creation and deployment of production-ready code

• Create framework for AI/ML code deployment to ensure robustness and reliability of production ready models

Mandatory and Preferred Skills

Specific Competencies – Mandatory

Coursework and Education

• BTech in Computer Science/Computer Engineering, Information Technology, Electronics and communication.

• Academic course work in various levels of math dealing with probability and statistics, Bayesian networking and graphical modeling, and coverage of deep learning and neural networks and cognitive science

• One or more assignments completed in designing, building, training and deploying a model for a given area.

Technology skills

• Exposure to Statistical Toolkits such as R, Weka, Python

• Very good Python/R programming skills. Java programming skills a plus

• Building, deploying and measuring predictive/prescriptive analytics models (i.e. SVM, decision tree, clustering, logistic regression, linear and non-linear regression, ANN, CNN, RNN)

• Deep learning frameworks such as Tensor Flow, Keras, Torch, Theano

• Tooling frameworks like PyCharm or Jupyter

Other Skills

Strong Teamwork and collaboration skills.

The ability to work in a fast paced development environment where priorities can shift on a dime.

Can do attitude with the ability to Learn new technology and concepts, analyze problems and propose creative solutions.

Additional Competencies – Preferred

Technology

• Understanding of Graph DB and tools such as Neo4j etc.

• Understanding of NLP, NLU and Machine learning/Deep learning methods

• SQL/NoSQL, MS Access, databases

• UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3

• Linux, GPU Experience

• Spark, Scala for distributed computing

• Public cloud exposure.

Methodology

• Previous experience with Big Data analytics implementations, using either Vanilla Hadoop or Cloudera/IBM BigInsights

• Ability to Prioritize, Consultative mindset & Time management skills

• Understanding/experience with the Google Cloud Platform/AWS/Azure and other Big Data solutions such as Cloudera is preferred

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.