Senior Manager- Machine Learning Expert

7 days ago

Bengaluru, Karnataka, India Genpact Full time

Genpact (NYSE: G) is 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. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Senior Manager, Machine Learning Expert

In this role, we are looking for candidates who has 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. 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.

Responsibilities

Project Lead/Delivery - Lead the project, set expectations with the client/stakeholders and successful execution of the project 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 Participate in SME reviews of Predictive Analytics opportunities/ engagements Project Delivery - This would entail successful delivery of projects involving data Pre-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.

Qualifications we seek in you

Minimum Qualifications / Skills

Technology

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

Methodology

Analytic Solutioning & Consulting experience in verticals such as BFSI, CPG, with experience in delivering analytics on large structured and unstructured data corpuses Solid knowledge of concepts in Machine Learning, Statistics, esp., in their application to learning from large data sources Proven expertise in Quantitative modeling for Marketing Insights and Solid understanding of Consumer behavior theories and models Proven expertise in deriving insights from large distributed databases. Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client's analytics agenda with newer tools and techniques

Preferred Qualifications/ Skills

·MS in Mathematics, Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience

·Computational Science or Applied Engineering with industry experience in Applied Machine Learning / Predictive Analytics

Technology

·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

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