Data Analyst

Greetings!!

We are looking out for a technically driven  "Full-Stack Engineer" for one of our premium client

COMPANY DESCRIPTION:

InViz is Bangalore Based Startup helping Enterprises simplifying the Search and Discovery experiences for both their end customers as well as their internal users. We use state-of-the-art technologies in Computer Vision, Natural Language Processing, Text Mining, and other ML techniques to extract information/concepts from data of different formats- text, images, videos and make them easily discoverable through simple human-friendly touchpoints. 

 

TSDE - Data 

Data Engineer:

 

• Should have total 3-6 Yrs of experience in Data Engineering.
• Person should have experience in coding data pipeline on GCP. 
• Prior experience on Hadoop systems is ideal as candidate may not have total GCP experience. 
• Strong on programming languages like Scala, Python, Java. 
• Good understanding of various data storage formats and it’s advantages. 
• Should have exposure on GCP tools to develop end to end data pipeline for various scenarios (including ingesting data from traditional data bases as well as integration of API based data sources). 
• Should have Business mindset to understand data and how it will be used for BI and Analytics purposes. 
• Data Engineer Certification preferred 

 

Experience in Working with GCP tools like
	Store :  CloudSQL , Cloud Storage, Cloud Bigtable,  Bigquery, Cloud Spanner, Cloud DataStore
	Ingest :  Stackdriver, Pub/Sub, AppEngine, Kubernete Engine, Kafka, DataPrep , Micro services
	Schedule : Cloud Composer
	Processing: Cloud Dataproc, Cloud Dataflow, Cloud Dataprep
	CI/CD - Bitbucket+Jenkinjs / Gitlab
	Atlassian Suite

 

 .

Dori AI enables enterprises with AI-powered video analytics to significantly increase human productivity and improve process compliance. We leverage a proprietary full stack end-to-end computer vision and deep learning platform to rapidly build and deploy AI solutions for enterprises. The platform was built with enterprise considerations including time-to-value, time-to-market, security and scalability across a range of use cases. Capture visual data across multiple sites, leverage AI + Computer Vision to gather key insights, and make decisions with actionable visual insights. Launch CV applications in a matter of weeks that are optimized for both cloud and edge deployments.

Job brief
We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions.

Requirements
1. 2 to 4 years of relevant industry experience
2. Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning
3. Strong mathematical and statistics background is a must
4. Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet
5. Strong industry experience in using design patterns, algorithms and data structures
6. Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models
7. Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib
8. Experience in model building, hyper

Data Analyst Job Description :
About GlowRoad:
GlowRoad is building India's most profitable social e-commerce platform where resellers share
the catalog of products through their network on Facebook, Whatsapp, Instagram, etc and
convert them to sales. GlowRoad is on a mission to create micro-entrepreneurs (resellers) who can set up their web-store, market their products and track all transactions through its platform.
GlowRoad app has ~15M downloads and 1- million + MAU's.-
GlowRoad has been funded by global VCs like Accel Partners, CDH, KIP and Vertex Ventures and recently raised series C Funding. We are scaling our operations across India.-
GlowRoad is looking for team members passionate about building platforms for next billion
users and reimagining e-commerce for mobile-first users. A great environment, a fun, open,
energetic and creative environment. Approachable leadership, filled with passionate people, Open communication and provides high growth for employees.
Role:
● Gather, process/analyze and report business data across departments
● Report key business data/metrics on a regular basis (daily, weekly and monthly
as relevant)
● Structure concise reports to share with management
● Work closely with Senior Analysts to create data pipelines for Analytical
Databases for Category, Operations, Marketing, Support teams.
● Assist Senior Analysts in projects by learning new reporting tools like Power BI
and advanced analytics with R
Basic Qualifications
● Engineering Graduate
● 6- 24 months of Hands on experience with SQL, Excel, Google Spreadsheets
● Experience in creating MIS/Dashboards in Excel/Google Spreadsheets
● Strong in Mathematics
● Ability to take full ownership in terms of timeline and data sanity with respect to
reports
● Basic Verbal and Written English Communication

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

 

 

Minimum Requirements:

 

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

 

Other Nice-to-have Requirements:

 

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.

REQUIRED SKILLS:

• Total of 4+ years of experience in development, architecting/designing and implementing Software solutions for enterprises.

• Must have strong programming experience in either Python or Java/J2EE.

• Minimum of 4+ year’s experience working with various Cloud platforms preferably Google Cloud Platform.

• Experience in Architecting and Designing solutions leveraging Google Cloud products such as Cloud BigQuery, Cloud DataFlow, Cloud Pub/Sub, Cloud BigTable and Tensorflow will be highly preferred.

• Presentation skills with a high degree of comfort speaking with management and developers

• The ability to work in a fast-paced, work environment

• Excellent communication, listening, and influencing skills

RESPONSIBILITIES:

• Lead teams to implement and deliver software solutions for Enterprises by understanding their requirements.

• Communicate efficiently and document the Architectural/Design decisions to customer stakeholders/subject matter experts.

• Opportunity to learn new products quickly and rapidly comprehend new technical areas – technical/functional and apply detailed and critical thinking to customer solutions.

• Implementing and optimizing cloud solutions for customers.

• Migration of Workloads from on-prem/other public clouds to Google Cloud Platform.

• Provide solutions to team members for complex scenarios.

• Promote good design and programming practices with various teams and subject matter experts.

• Ability to work on any product on the Google cloud platform.

• Must be hands-on and be able to write code as required.

• Ability to lead junior engineers and conduct code reviews



QUALIFICATION:

• Minimum B.Tech/B.E Engineering graduate

Responsibilities

• Installing and configuring Informatica components, including high availability; managing server activations and de-activations for all environments; ensuring that all systems and procedures adhere to organizational best practices
• Day to day administration of the Informatica Suite of services (PowerCenter, IDS, Metadata, Glossary and Analyst).
• Informatica capacity planning and on-going monitoring (e.g. CPU, Memory, etc.) to proactively increase capacity as needed.
• Manage backup and security of Data Integration Infrastructure.
• Design, develop, and maintain all data warehouse, data marts, and ETL functions for the organization as a part of an infrastructure team.
• Consult with users, management, vendors, and technicians to assess computing needs and system requirements.
• Develop and interpret organizational goals, policies, and procedures.
• Evaluate the organization's technology use and needs and recommend improvements, such as software upgrades.
• Prepare and review operational reports or project progress reports.
• Assist in the daily operations of the Architecture Team , analyzing workflow, establishing priorities, developing standards, and setting deadlines.
• Work with vendors to manage support SLA’s and influence vendor product roadmap
• Provide leadership and guidance in technical meetings, define standards and assist/provide status updates
• Work with cross functional operations teams such as systems, storage and network to design technology stacks.

 

Preferred Qualifications

• Minimum 6+ years’ experience as Informatica Engineer and Developer role
• Minimum of 5+ years’ experience in an ETL environment as a developer.
• Minimum of 5+ years of experience in SQL coding and understanding of databases
• Proficiency in Python
• Proficiency in command line troubleshooting
• Proficiency in writing code in Perl/Shell scripting languages
• Understanding of Java and concepts of Object-oriented programming
• Good understanding of systems, networking, and storage
• Strong knowledge of scalability and high availability

REQUIREMENT:

•  Previous experience of working in large scale data engineering
•  4+ years of experience working in data engineering and/or backend technologies with cloud experience (any) is mandatory.
•  Previous experience of architecting and designing backend for large scale data processing.
•  Familiarity and experience of working in different technologies related to data engineering – different database technologies, Hadoop, spark, storm, hive etc.
•  Hands-on and have the ability to contribute a key portion of data engineering backend.
•  Self-inspired and motivated to drive for exceptional results.
•  Familiarity and experience working with different stages of data engineering – data acquisition, data refining, large scale data processing, efficient data storage for business analysis.
•  Familiarity and experience working with different DB technologies and how to scale them.

RESPONSIBILITY:

•  End to end responsibility to come up with data engineering architecture, design, development and then implementation of it.
•  Build data engineering workflow for large scale data processing.
•  Discover opportunities in data acquisition.
•  Bring industry best practices for data engineering workflow.
•  Develop data set processes for data modelling, mining and production.
•  Take additional tech responsibilities for driving an initiative to completion
•  Recommend ways to improve data reliability, efficiency and quality
•  Goes out of their way to reduce complexity.
•  Humble and outgoing - engineering cheerleaders.

What you will do:
As a Data Science Lead, you will be working on creating industry first analytical and propensity models to
help discover the information hidden in vast amounts of data, and make smarter decisions to deliver
even better customer experience. Your primary focus will be in applying data mining techniques, doing
statistical analysis, and building high quality prediction systems integrated with our products.

➢ Working with business and leadership teams to gathering and analyse structured and unstructured data
➢ Data mining using state-of-the-art methods
➢ 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
➢ Creation and evolution of an efficient BI pipeline into a multi-faceted pipeline to support various
modelling needs.

What we are looking for:

➢ 5-8 years of relevant experience, preferably in financial services industry.
➢ A bachelors / master’s degree in the field of Statistics, Mathematics, Computer Science or
Management from Tier 1 Institutes.
➢ Data warehousing experience will be a plus.
➢ Good conceptual understanding of statistics and probability.
➢ Experience in developing dashboards and reports using BI tools.

-Precily AI: Automatic summarization, shortening a business document, book with our AI. Create a summary of the major points of the original document. AI can make a coherent summary taking into account variables such as length, writing style, and syntax. We're also working in the legal domain to reduce the high number of pending cases in India. We use Artificial Intelligence and Machine Learning capabilities such as NLP, Neural Networks in Processing the data to provide solutions for various industries such as Enterprise, Healthcare, Legal.