Assistant Manager - AI/ML

10 Applied
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. Come, transform with us.
Inviting applications for the role of AM, Machine Learning Expert - Data Science and Insights.
The candidate should be MS in Mathematics, Computer Science, Information systems, or Computer engineering, Systems Engineering with 6+ years of relevant experience Or Computational Science or Applied Engineering industry experience in Applied Machine Learning / Predictive Analytics.
Exposure to Machine Learning & Quantitative Methods in Marketing / Consumer Behavior is a must. Full cycle Real-world Analytics project experience is highly desirable: from creating a Business use case, PA assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management
There are 2 areas that this role will focus on in order of importance:

  1. Project Lead/Delivery- Lead the project, set expectations with the client/stakeholders and successful execution of the project
  2. Solutioning- Conceptualize and develop relevant Predictive Analytic solutions for our Analytic Customers. Envisioning opportunistic areas with our clients by demonstrating relevant and credible Predictive Analytics solutions and paradigms. The role may entail carrying out high level assessment of customer Analytics readiness and creating the associated analytic benchmarking which may ultimately converge into a client specific Predictive Analytics roadmap

Key Roles and Responsibilities
The Manager/Senior Manager ML is expected to play a pivotal bridging role between statistical, technology specialists, AND the business /functional resources. At a broad level, the Manager/Senior Manager shall leverage his/her solutioning expertise to translate the customer's business need into a techno-analytic problem and appropriately work with the statistical & technology specialist to bring large scale analytic solutions to fruition.
The key responsibilities of the Manager/Senior Manager ML are:
  • Participate in SME reviews of Predictive Analytics opportunities/ engagements
  • Project Delivery - This would entail successful delivery of projects involving data Pre[1]processing, Model Training and Evaluation, Parameter Tuning
  • Manage Stakeholder/Customer Expectations
  • Project Blue Printing and Project Documentation
  • Creating Project Plan
  • Jump-start Machine Learning projects with customer with focus on providing disruptive insights in reasonable timeframes.
  • Actively collaborate with competency leaders in Big Data, OR, BI areas to stich big ticket solutions with end-to-end span

Required and Preferred Skills
Specific Competencies - Essential
Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS Very good Python/R programming skills. Java programming skills a plus Direct involvement in working with large volumes of data and building, deploying and measuring predictive analytics models (i.e. SVM, decision tree, clustering, logistic regression, linear and non-linear regression) Deep learning frameworks such as TensorFlow, Keras, Torch, Theano
Specific Competencies - Desirable
. Understanding of GraphDB 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
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 Follow us on Twitter, Facebook, LinkedIn, and YouTube.

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