• Interface and work with software developers to have the analytic tools developed as complete, marketable products
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
• Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Experience with data visualization tools, such as D3.js, GGplot,
• Proficiency in using query languages such as SQL, Hive, Pig

• Sentiment Analysis, Entity Extraction, Natural Language Processing (NLP), Natural Language Inference (NLI) and Natural language Understanding (NLU).
• Quantitative Analysis of time series data for variety of financial assets
• Applying various Machine Learning algorithms to large-scale datasets containing text or time-series data.
• Cognitive computing and intelligent assistance through automated reasoning.
• Augmented intelligence, deep learning and pattern recognition.
• Server-less computing using AWS infrastructure.
• Tuning various Machine Learning/Deep Learning Models.
• Expert level knowledge of Python is required.
• Strong knowledge of data structures, design patterns, building algorithms and working with distributed computing.
• Some knowledge of version control and coding standards.
• Some experience with document databases, relational databases and time-series databases.

Job Profile:
– At least 2 in SOLR, Spring and Java.
– At least 2 years of experience in Data Structure and Algorithms
– Ecommerce Experience is a must
– Tier 1 or Tier 2 education is a must
– Object oriented design skills, knowledge of design patterns, and ability to design intuitive module and class-level interfaces.

Desired Profile:
– Knowledge of Handling Big Data ecosystems will be a big plus
– Experience in using key-value stores like Redis/Memcached
– Familiar with publisher/subscriber model, Kafka, Jenkins, GIT.
– Experience in leading multi-engineer projects and mentoring junior engineers
– Prior experience in working with Agile software methodologies (XP, Scrum)
– Experience in developing recommendation engines using Machine Learning/Python/Scala
– You will be responsible for Java development and building large scale applications that are high performance, scalable, and resilient in an SOA environment
– Translate high level business problems into scalable solutions. These include building selflearning modules for dynamic pricing, contextual recommendations, in-house analytics, advanced real-time backend systems, etc
– Develop Web APIs and end-to-end web services to support various internal & external stakeholders
– Develop unit test plans to deliver quality components.
– Keep a tab on the new and emerging technologies to enhance the systems