Data Scientist – Delivery & New Frontiers Manager

• Own the product analytics of bidgely’s end user-facing products, measure and identify areas of improvement through data
• Liaise with Product Managers and Business Leaders to understand the product issues, priorities and hence support them through relevant product analytics
• Own the automation of product analytics through good SQL knowledge
• Develop early warning metrics for production and highlight issues and breakdowns for resolution
• Resolve client escalations and concerns regarding key business metrics
• Define and own execution
• Own the Energy Efficiency program designs, dashboard development, and monitoring of existing Energy efficiency program
• Deliver data-backed analysis and statistically proven solutions
• Research and implement best practices
• Mentor team of analysts

• B.Tech from a premier institute with 5+ years analytics experience or Full-time MBA from a premier b-school with 3+ years of experience in analytics/business or product analytics
• Bachelor's degree in Business, Computer Science, Computer Information Systems, Engineering, Mathematics, or other business/analytical disciplines

• Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause
  analyses
• Excellent understanding of retention, churn, and acquisition of user base
• Ability to employ statistics and anomaly detection techniques for data-driven
  analytics
• Ability to put yourself in the shoes of the end customer and understand what
  “product excellence” means
• Ability to rethink existing products and use analytics to identify new features and product improvements.
• Ability to rethink existing processes and design new processes for more effective analyses
• Strong SQL knowledge, working experience with Looker and Tableau a great plus
• Strong commitment to quality visible in the thoroughness of analysis and techniques employed
• Strong project management and leadership skills
• Excellent communication (oral and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
• Ability to coach and mentor analysts on technical and analytical skills
• Good knowledge of statistics, basic machine learning, and AB Testing is
  preferable
• Experience as a Growth hacker and/or in Product analytics is a big plus

We are a 20-year old IT Services company from Kolkata working in India and abroad. We primarily work as SSP(Software Solutions Partner) and serve some of the leading business houses in the country in various software project implementations specially on  SAP and Oracle platform and also working on Govt & Semi Govt projects as outsourcing partner all over PAN India.

Can be anywhere in India ( Mumbai ,Pune and Kolkata is

preferable)

Machine Learning/Deep Learning experience above 3

years

• Clear and structured thinking and communication

Keywords: Machine Learning, Deep Learning, AI,

Regression, Classification, Clustering, NLP, CNN, RNN,

LSTM, AutoML, k-NN, Naive Bayes, SVM, Decision

Forests

• Understand granular requirement, underlying business

problem and convert to low level design

• Develop analytic process chain with pre-processing,

training, testing, boosting etc.

• Develop the technical deliverable in mcube

(Python/Spark ML/R, H2O/Tensorflow) as per design

• Ensure quality of deliverable (coding standards, data

quality, data reconciliation)

• Proactively reach out for risks to Technical Lead
• Machine Learning, Deep Learning, Regression,

Classification, Clustering, NLP,CNN, RNN

• Expertise in data analysis and analytic programming

(Python/R/ SparkML/Tensorflow)

• Experience in multiple data processing technology

(preferably Pentaho or Spark)

• Basic knowledge in effort estimation, Clear and

structured thinking and communication

• Expertise in testing accuracy of deliverables (model)
• Exposure to Data Modelling and Analysis
• Exposure to information delivery (model outcome

communication)

M.S. / M.Tech/ B.Tech / B.E. (in this order of preference)

• Masters course in Data Science after technical (engineering/

science) degree

• 3+ years experience in practical implementation and deployment of ML based systems preferred.
• BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
• Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
• Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
• Experience in working on modeling graph structures related to spatiotemporal systems
• Programming skills in Python
• Experience in developing and deploying on cloud (AWS or Google or Azure)
• Good verbal and written communication skills
• Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow

About Us:

We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB.

Functional Experience:

• Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms
• 2+ years of data science experience working with large datasets
• Expertise in Python packages like pandas, numPy, sklearn, matplotlib, seaborn, keras and tensorflow
• Expertise in Big Data technologies like Hadoop, Cassandra and PostgreSQL
• Expertise in Cloud computing on AWS with EC2, AutoML, Lambda and RDS
• Good knowledge of Machine Learning and Statistical time series analysis (optional)
• Unparalleled logical ability making you the go to guy for all things related to data
• You love coding like a hobby and are up for a challenge!

Cultural:

• Assume a strong sense of ownership of analytics : Design, develop & deploy
• Collaborate with senior management, operations & business team
• Ensure Quality & sustainability of the architecture
• Motivation to join an early stage startup should go beyond compensation

About the Role:  

As a Speech Engineer you will be working on development of on-device multilingual speech recognition systems. 

• Apart from ASR you will be working on solving speech focused research problems like speech enhancement, voice analysis and synthesis etc. 
• You will be responsible for building complete pipeline for speech recognition from data preparation to deployment on edge devices. 
• Reading, implementing and improving baselines reported in leading research papers will be another key area of your daily life at Saarthi. 

Requirements:  

• 2-3 year of hands-on experience in speech recognitionbased projects 
• Proven experience as a Speech engineer or similar role 
• Should have experience of deployment on edge devices 
• Candidate should have hands-on experience with open-source tools such as Kaldi, Pytorch-Kaldi and any of the end-to-end ASR tools such as ESPNET or EESEN or DeepSpeech Pytorch
• Prior proven experience in training and deployment of deep learning models on scale 
• Strong programming experience in Python,C/C++, etc. 
• Working experience with Pytorch and Tensorflow
• Experience contributing to research communities including publications at conferences and/or journals 
• Strong communication skills 
• Strong analytical and problem-solving skills

Company Overview:

Rakuten, Inc. (TSE's first section: 4755) is the largest ecommerce company in Japan, and third largest eCommerce marketplace company worldwide. Rakuten provides a variety of consumer and business-focused services including e-commerce, e-reading, travel, banking, securities, credit card, e-money, portal and media, online marketing and professional sports. The company is expanding globally and currently has operations throughout Asia, Western Europe, and the Americas. Founded in 1997, Rakuten is headquartered in Tokyo, with over 17,000 employees and partner staff worldwide. Rakuten's 2018 revenues were 1101.48 billions yen. 　 -In Japanese, Rakuten stands for ‘optimism.’ -It means we believe in the future. -It’s an understanding that, with the right mind-set, -we can make the future better by what we do today. Today, our 70+ businesses span e-commerce, digital content, communications and FinTech, bringing the joy of discovery to more than 1.2 billion members across the world.

Website : https://www.rakuten.com/">https://www.rakuten.com/

Crunchbase : https://www.crunchbase.com/organization/rakuten">Rakuten has raised a total of https://www.crunchbase.com/search/funding_rounds/field/organizations/funding_total/rakuten">$42.4M in funding over https://www.crunchbase.com/search/funding_rounds/field/organizations/num_funding_rounds/rakuten">2 rounds

Companysize : 10,001 + Employees

Founded : 1997

Headquarters : Tokyo, Japan

Work location : Bangalore (M.G.Road)

Please find below Job Description.

Role Description – Data Engineer for AN group (Location - India)

Key responsibilities include:

We are looking for engineering candidate in our Autonomous Networking Team. The ideal candidate must have following abilities –

• Hands- on experience in big data computation technologies (at least one and potentially several of the following: Spark and Spark Streaming, Hadoop, Storm, Kafka Streaming, Flink, etc)
• Familiar with other related big data technologies, such as big data storage technologies (e.g., Phoenix/HBase, Redshift, Presto/Athena, Hive, Spark SQL, BigTable, BigQuery, Clickhouse, etc), messaging layer (Kafka, Kinesis, etc), Cloud and container- based deployments (Docker, Kubernetes etc), Scala, Akka, SocketIO, ElasticSearch, RabbitMQ, Redis, Couchbase, JAVA, Go lang.
• Partner with product management and delivery teams to align and prioritize current and future new product development initiatives in support of our business objectives
• Work with cross functional engineering teams including QA, Platform Delivery and DevOps
• Evaluate current state solutions to identify areas to improve standards, simplify, and enhance functionality and/or transition to effective solutions to improve supportability and time to market
• Not afraid of refactoring existing system and guiding the team about same.
• Experience with Event driven Architecture, Complex Event Processing
• Extensive experience building and owning large- scale distributed backend systems.

Responsibilities: 

• Improve robustness of Leena AI current NLP stack 
• Increase zero shot learning capability of Leena AI current NLP stack 
• Opportunity to add/build new NLP architectures based on requirements 
• Manage End to End lifecycle of the data in the system till it achieves more than 90% accuracy 
• Manage a NLP team 

Page BreakRequirements: 

• Strong understanding of linear algebra, optimisation, probability, statistics 
• Experience in the data science methodology from exploratory data analysis, feature engineering, model selection, deployment of the model at scale and model evaluation 
• Experience in deploying NLP architectures in production 
• Understanding of latest NLP architectures like transformers is good to have 
• Experience in adversarial attacks/robustness of DNN is good to have 
• Experience with Python Web Framework (Django), Analytics and Machine Learning frameworks like Tensorflow/Keras/Pytorch. 

• Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub.
• Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. 
• Designing and implementing data engineering, ingestion, and transformation functions

• Experience with Azure Analysis Services
• Experience in Power BI
• Experience with third-party solutions like Attunity/Stream sets, Informatica
• Experience with PreSales activities (Responding to RFPs, Executing Quick POCs)
• Capacity Planning and Performance Tuning on Azure Stack and Spark.

Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.

Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.

We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!

• Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale
• Daily Grind: Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD,
• Career Progression: Senior ML Engineer, ML Architect

• Work in a product-development team capable of independently authoring software products.
• Guide junior programmers, set up the architecture, and follow modular development approaches.
• Design and develop code which is well documented.
• Optimize of the application for maximum speed and scalability
• Adhere to the best Information security and Devops practices.
• Research and develop new approaches to problems.
• Design and implement schemas and databases with respect to the AI application
• Cross-pollinated with other teams.

HARD AND SOFT SKILLS

Must Have

• Problem-solving abilities
• Extremely strong programming background – data structures and algorithm
• Advanced Machine Learning: TensorFlow, Keras
• Python, spaCy, NLTK, Word2Vec, Graph databases, Knowledge-graph, BERT (derived models), Hyperparameter tuning
• Experience with OOPs and design patterns
• Exposure to RDBMS/NoSQL
• Test Driven Development Methodology

Good to Have

• Working in cloud-native environments (preferably Azure)
• Microservices
• Enterprise Design Patterns
• Microservices Architecture
• Distributed Systems