Growth Hacker

RESPONSIBILITIES:

 Requirement understanding and elicitation, analyze, data/workflows, contribute to product

project and Proof of concept (POC)

 Contribute to prepare design documents and effort estimations.

 Develop AI/ML Models using best in-class ML models.

 Building, testing, and deploying AI/ML solutions.

 Work with Business Analysts and Product Managers to assist with defining functional user

stories.

 Ensure deliverables across teams are of high quality and clearly documented. 

 Recommend best ML practices/Industry standards for any ML use case.

 Proactively take up R and D and recommend solution options for any ML use case.

REQUIREMENTS:

Required Skills

 Overall experience of 4 to 7 Years working on AI/ML framework development

 Good programming knowledge in Python is must.

 Good Knowledge of R and SAS is desired.

 Good hands on and working knowledge SQL, Data Model, CRISP-DM.

 Proficiency with Uni/multivariate statistics, algorithm design, and predictive AI/ML modelling.

 Strong knowledge of machine learning algorithms, linear regression, logistic regression, KNN,

Random Forest, Support Vector Machines and Natural Language Processing.

 Experience with NLP and deep neural networks using synthetic and artificial data.

 Involved in different phases of SDLC and have good working exposure on different SLDC’s like

Agile Methodologies.

• Team with top-notch engineers, product managers, program managers, DevOps and QA following agile development methodologies
• Review functional requirements, providing technical feedback on feasibility and architectural approach and framework.
• Design and develop web / mobile applications
• Create Prototype and/or Proof of Concepts (POCs) when necessary
• Act in a technical leadership capacity: Mentor junior engineers and new team members, perform code reviews and apply technical expertise to challenging programming and design problems
• Utilize Agile Development, SCRUM / Pair / Extreme Programming methodologies
• Design and develop supporting components and microservices for the backend tiers focusing on fault-tolerance and scalability in a multi-tenant enterprise environment
• Maintain and improve the functionality and performance of the existing web applications
• Help shape and execute the technical roadmap to develop next generation features; integrate corporate- and product-level architecture principles and goals into the teams project work through designs, implementation strategies, and project planning.
• Drive a culture of quality, technical curiosity, continuous improvement, and evidence-based data driven decision making in the organization.
• Execute other Duties as assigned

• 3+ years of experience developing Backend, API and data-based applications/software
• Experience with one of the major relational databases (MySQL, Oracle, Postgres) and NoSQL databases (Mongo DB, Cassandra, Dynamo DB or such)
• Expert object-oriented programming experience using Java
• Strong OO design and programming skills in Java, Hibernate, JPA, Spring Boot
• Worked in Maven, JPA, REST services, Postman
• Working knowledge on Spring Security / Spring Batch / ZUUL / Eureka / Hysterix
• Exposure with Frontend technologies (React.js, Angular or Ruby-on-Rails)
• Require experience and Strong understanding of entire Software Development Life Cycle (SDLC), Agile (Scrum), Software design/architecture process, unit testing & Test-Driven Development (TDD)
• Experience with web services (consuming or creating)
• Experience managing Cloud infrastructure (resources and service) in AWS, Azure and/or GCP
• Strong knowledge of SOA, object-oriented programming, design patterns, multi-threaded application development
• Experience in reporting and analytics, queuing and real-time streaming systems
• Git or similar distributed SCM tools experience.

The opportunity

The Engineering Manager (EM)is responsible for a managing a team of full stack engineers that is building highly innovative and cutting edge solutions. This role is accountable for leading a team, developing code, deploying and managing in production. Most importantly, the EM, while working with the Product owners drives the product Net promoter score (NPS), user satisfaction, building the product roadmap and delivering highly functional, exceptionally innovative and intelligent software. You will be called upon to be the technical representative for your team during cross-team collaborative efforts and planning. Success in this role will require strong and innovative approaches to problem solving, great technical leadership, excellent communication (written and verbal, formal and informal), flexibility, accountability and a self-motivated working style with attention to detail.

You are great at

As an Engineering Manager, you’ll take the lead as you - drive product development, operations and technical decision making. You’ll have a strong focus on team management and development, equal focus will be on writing production code and hands on active development of the capabilities and solutions. Assist in defining infrastructure need and use enterprise solution and drive resolution of technology roadblocks including code, infrastructure, build and deployment. Manage overall software development cycle by adhering to development and security standards. Establish good stakeholder communication and work closely with Product teams and influence set product roadmap and help drive requirements while being a strong advocate of extreme agile and DevOps practices across engineers. Build and manage a team of high performing full stack engineers and provide leadership, coaching, motivation and recommend staffing levels, operating procedures, tools and systems for the team. Provide career development and performance management to a team of engineers.

Required Candidate Profile

• 4 year degree in or equivalent experience
• 8+ years of engineering (software development) experience
• 1-3 years of managing teams with a strong track record of delivery for cross-functional product experience with Cloud hosting and managing products
• Proficient in building high performing APIs and writing specs
• Expertise in programming languages. Hands on experience in Java, J2ee technologies is preferred.
• Experience in SAP Hybris Commerce would be a plus
• Experience with integration, data handling technologies and other open source frameworks
• Strong written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to variety of audiences
• Team-orientated, passionate about developing others’ skills and capabilities
• Successful track record of working in large scale technology solutions
• Deep understanding of agile development processes and methodology including continuous integration and delivery, with a mindset of building incrementally and delivering business value quickly

About Mastercard

We are the global technology company behind the world’s fastest payments processing network.

We are a vehicle for commerce, a connection to financial systems for the previously excluded, a technology innovation lab, and the home of Priceless.

We ensure every employee has the opportunity to be a part of something bigger and to change lives.

We believe as our company grows, so should you.

We believe in connecting everyone to endless, priceless possibilities.

Overview Services and Data is helping to shape the future of data insights by leveraging billions of anonymized, aggregated transactions in a 10 petabyte date warehouse to help financial institutions, merchants, media, and governments manage their businesses more effectively.

Advanced Analytics is charged with servicing clients by centralizing and optimizing the world class analytical, modeling, software coding, data sourcing, product development, product management, econometrics, and associated delivery capabilities of the MasterCard Advisors organization.

It focuses on creating innovative technology solutions which leverage technology in the data science, artificial intelligence and analytics arenas; on enabling the field with industrialized, repeatable products and on researching and incubating emerging technology to determine how they might apply to our customers and facilitate positive outcomes.

What we are re looking for

• Are you motivated by developing new Analytical skills, leading to insights into issues and developing recommendations that add real value to clients?
• Have you managed the client independently and effectively?
• Do you want to play a key role in driving a world beyond cash?
• Leading the formulation of artificial intelligence and machine learning solution objectives. Working on technical requirements based on user need.
• Responsible for creating the framework of solutions that take data intensive and complex business challenges and provide easily consumed and automated outcomes
• Using unique visualization techniques, condenses large volumes of complex ideas into elegant and simple visual models
• Determine opportunities to exploit new data sources or leverage new outcomes from existing data sources, by applying new models and algorithms to create business value
• Influences a client's strategic decisions by using deep industry expertise and deploying innovative Deep Learning analytics solutions in the operational systems Leadership Skills
• Works closely with clients/internal stakeholders to understand their business needs and design a technical solution
• Proving viability of the solution through mechanisms like proof-of-concepts
• Thought Leadership in AI – Developing compelling audience-specific messages and tools. Capture and share best practices and insights internally and with partners and customers.
• Self-driven, energetic, creative with ability to work in global teams.
• Excellent communication skills and a wide knowledge base, to convince the Stakeholders on application of AI/ML
• Provide technical leadership to the team members in relevant topics on AI/ML
• Adaptable - Takes in stride and constantly attunes to the changing needs of a highly dynamic business
• Curious - our key contributors are always seeking to grow their knowledge, to gain new perspectives, and to find better ways forward by researching and showcasing latest AI tools, techniques and applications
• Tenacious - self-starters who will take ownership of projects and bring them to completion despite difficulties or setbacks
• Consulting and Project Management Experience preferred

Functional and Technical Skills

• Experience in building and implementing AI application in any of the two domains - Fraud, risk, marketing, finance, operations for Banks, Fintech, Ecommerce, merchants or retailers
• Has a deep understanding of business value industry requirements and advanced analytic models (statistical, operations research, computing process)
• Responsible for building applications using artificial intelligence/machine learning technology, applying latest industrial and academic developments, prefer Kaggle hackathon participant
• Expertise in deep learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, Theono
• Proficient in Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks – Feedforward, CNN, LSTM’s GRU’s.
• Optimization techniques – Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets – Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
• Expertise in classical Machine Learning algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil etc
• Extensive experience in statistical tools and programming environments like Python, R, SAS, SQL
• Experience with BIG DATA platforms - Hadoop, Hive, Spark, GPU Clusters for deep learning

Qualifications

• Minimum Graduate degree in Mathematics/Computer Science/Engineering