Data Scientist

Required Skills (Technical):-

1.Advanced knowledge of statistical techniques, NLP, machine learning algorithms and deep
learning
frameworks like Tensorflow, Theano, Keras, Pytorch
2. Proficiency with modern statistical modeling (regression, boosting trees, random forests,
etc.),
machine learning (text mining, neural network, NLP, etc.), optimization (linear
optimization,
nonlinear optimization, stochastic optimization, etc.) methodologies.
3. Build complex predictive models using ML and DL techniques with production quality
code and jointly
own complex data science workflows with the Data Engineering team.
4. Familiar with modern data analytics architecture and data engineering technologies
(SQL and No-SQL databases)
5. Knowledge of REST APIs and Web Services
6. Experience with Python, R, sh/bash

Required Skills (Non-Technical):-

1. Fluent in English Communication (Spoken and verbal)
2. Should be a team player
3. Should have a learning aptitude
4. Detail-oriented, analytical and inquisitive
5. Ability to work independently and with others
6. Extremely organized with strong time-management skills
7. Problem Solving & Critical Thinking
Required Experience Level :-  Senior level- 4+Years

Work Location : Pune preferred, Remote option available
Work Timing : 2:30 PM to 11:30 PM IST

 

Since 1988 Quicken has been the top personal management software for millions of

consumers. We pioneered a radically easier and faster way for people to manage their

household finances. Since then we’ve continued to focus on delighting customers and making

the Quicken product and experience better than ever.

Job Title: Lead Data Engineer

Location: Bangalore, India

Department: Product Development

Quicken is the #1 personal finance management software with a 30-year heritage of helping

millions of individuals and families stay on top of their finances. We are working on a strategy

to deliver awesome personal finance experience to our customers across Windows, Mac, iOS,

Android, and web.

The successful candidate will join a fast-paced software development team building the next

generation of Quicken Data Platform. The team uses the latest software development

technology and tools.

If you are looking to be part of a high-performing team at the heart of a fun, energetic, and

innovative company, come join the Quicken Team!

Responsibilities:

This is an opportunity to be a highly visible and key contributor on a small and passionate

team delivering innovative data platform solutions across the company. You’ll help shape and

deliver on an aggressive and innovative roadmap in areas key to Quicken’s continued success

and growth.

• Lead Data Engineer role is a technical hands-on role. The responsibilities range from

being at the vanguard of solving technical problems to venturing into unchartered

areas of technologies to solve complex problems.

• Design, implement, or operate comprehensive data platform components to balance

optimization of data access with batch loading and resource utilization factors, per

customer requirements.

• Develop data platform process models, including sourcing, loading, transformation,

and extraction.

• Create or implement metadata processes and frameworks.

• Create supporting documentation, such as metadata and diagrams of entity

relationships, business processes, and process flow.

• Develop or maintain standards, such as organization, structure, or nomenclature, for

the design of data platform elements, such as data architectures, models, tools, and

databases.

• Implement business rules via scripts, middleware, or other technologies.

• Map data between source systems and data lake

• Ability to work on their own and make decisions related to the Data Platform. Should

also possess Creativity, Responsibility, and Autonomy.

• Participate in the planning, design, and implementation of features, working with small

teams that consist of engineers, product managers, and marketing.

Confidential

• Demonstrate strong technical talent throughout the organization and engineer

products that meet future scalability, performance, security, and quality goals while

maintaining a cohesive user experience across different components and products.

• Train and mentor junior members about best practices of software development

methodology and frameworks used in data platform.

• Passion for continuous learning, experimenting and applying cutting edge technology

and software paradigms. Also responsible for fostering this culture across the team.

• Provide recommendations on new and emerging technologies, technology prototypes,

patent proposals, and engineering process improvements by leveraging their

experience and industry trends.

Qualifications:

• 8+ years of hands-on experience with data platform technology and tools

• Experience in Python

• Experience in database user interface and query software - Structured query language

(SQL)

• Experience in one or more structured DBMS along with data modelling – MySQL

• Experience in building end to end data pipelines - ingestion, processing and

visualization of Big Data

• Understanding of Spark and ability to write ETL using PySpark

• Knowledge on one or more visualization tools like Tableau, Kibana, QuickSight

• Nice to have experience in one or more NoSQL DB, Dynamo DB, MongoDB, Cassandra, HBase

• Nice to have experience working with Machine Learning algorithms

• Experience working with geographically distributed teams across different time zone

• Strong communication skills, both oral and written whether in-person or virtual

• Experience with Agile methodologies

• Bachelor’s degree in computer science or other technical discipline, or equivalent

experience

What we offer:

• Competitive salary and performance bonus

• Amazing culture, strong believers in Autonomy/Mastery/Purpose

• Customer-driven, we make money by building the best products for our users. No

confusion about how to win – build amazing products!

• Ability to work with and manage incredible talent

• Highly recognizable brand

Senior Engineer  – Artificial Intelligence / Computer Vision
(Business Unit – Autonomous Vehicles & Automotive - AVA)

We are seeking an exceptional, experienced senior engineer with deep expertise in Computer Vision, Neural Networks, 3D Scene Understanding and Sensor Data Processing. The expectation is to lead a growing team of engineers to help them build and deliver customized solutions for our clients. A solid engineering as well as team management background is a must.

About MulticoreWare Inc
MulticoreWare Inc is a software and solutions development company with top-notch talent and skill in a variety of micro-architectures, including multi-thread, multi-core, and heterogeneous hardware platforms. It works in sectors including High Performance Computing (HPC), Media & AI Analytics, Video Solutions, Autonomous Vehicle and Automotive software, all of which are rapidly expanding. The Autonomous Vehicles & Automotive business unit specializes in delivering optimized solutions for sophisticated sensor fusion intelligence and the design of algorithms & implementation of software to be deployed on a variety of automotive grade hardware platforms.

Role Responsibilities
● Lead a team to solve the problems in a perception / autonomous-systems scope and turn ideas into code & products
● Drive all technical elements of development, such as project requirements definition, design, implementation, unit testing, integration, and software delivery
● Implementing cutting edge AI solutions on embedded platforms and optimizing them for performance. Hardware architecture aware algorithm design and development
● Contribute to the vision and long-term strategy of the business unit

Required Qualifications (Must Have)
● 3 - 7 years of experience with real world system building, including design, coding (C++/Python) and evaluation/testing (C++/Python)
● Solid experience in 2D / 3D Computer Vision algorithms, Machine Learning and Deep Learning fundamentals – Theory & Practice. Hands-on experience with Deep Learning frameworks like Caffe, TensorFlow or PyTorch
● Expert level knowledge in any of the courses related Signal Data Processing / Autonomous or Robotics software development (Perception, Localization, Prediction, Planning), multi-object tracking, sensor fusion algorithms and familiarity on Kalman filters, particle filters, clustering methods etc.
● Good project management and execution capabilities, as well as good communication and coordination ability
● Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related fields

Preferred Qualifications (Nice-to-Have)
● GPU architecture and CUDA programming experience, as well as knowledge of AI inference optimization using Quantization, Compression (or) Model Pruning
● Track record of research excellence with prior publication on top-tier conferences and journals

About the Company:

This opportunity is for an AI Drone Technology startup funded by the Indian Army. It is working to develop cutting-edge products to help the Indian Army gain an edge in New Age Enemy Warfare.

They are working on using drones to neutralize terrorists hidden in deep forests. Get a chance to contribute to secure our borders against the enemy.

Responsibilities:

• Extensive knowledge in machine learning and deep learning techniques
• Solid background in image processing/computer vision
• Experience in building datasets for computer vision tasks
• Experience working with and creating data structures/architectures
• Proficiency in at least one major machine learning framework such as Tensorflow, Pytorch
• Experience visualizing data to stakeholders
• Ability to analyze and debug complex algorithms
• Highly skilled in Python scripting language
• Creativity and curiosity for solving highly complex problems
• Excellent communication and collaboration skills

 

Educational Qualification:

MS in Engineering, Applied Mathematics, Data Science, Computer Science or equivalent field, with 3 years industry experience, a PhD degree or equivalent industry experience.

About antuit.ai

 

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.

 

Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.

 

The Role:

 

Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs.

 

Responsibilities:

 

Responsibilities includes, but are not limited to the following:

 

• Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations.
• Design, build reliable and scalable automated processes for large scale machine learning.
• Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning. 
• Collaborate with Business, Technology and Product teams to stand-up MLOps process.
• Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools.
• Deep dive into complex algorithmic and product issues in production
• Own metrics and reporting for delivery team. 
• Set a clear vision for the team members and working cohesively to attain it.
• Mentor and coach team members

Qualifications and Skills:

 

Requirements

• Engineering degree in any stream
• Has at least 7 years of prior experience in building ML driven products/solutions
• Excellent programming skills in any one of the language C++ or Python or Java.
• Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc.
• Developed and productized large-scale models/algorithms in prior experience
• Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks.
• Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools).
• Good verbal, written and presentation skills.
• Ability to learn new skills and technologies.
• 3+ years working with retail or CPG preferred.
• Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred.

 

Information Security Responsibilities

 

• Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
• Take part in Information Security training and act accordingly while handling information.
• Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

EEOC

 

Antuit.ai is an at-will, equal opportunity employer.  We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.

APPLY LINK: https://bit.ly/2KagS3n Go through the entire job post and search for role relevant to your background. Applicant must mandatorily meet Real You requirements for that role, otherwise application shall be straightforwardly rejected. ````````````````````````````````````````````````````````````````````````````````````````````````````` Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behavior enabling strengthened decisions. Scaling established startup by IIT alumni innovating & disrupting marketing domain through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday. We are a deep rooted organization with six years of success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing our second product, Robonate. First was emmoQ - an emotion intelligence platform. Third offering, H2HData, an innovation lab where we solve hard problems through data, science, & design. We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence. First-and-Foremost Before you dive-in exploring this opportunity and press Apply, we wish you to evaluate yourself - We are looking for right candidate, not the best candidate. We love to work with someone who can mandatorily gel with our vision, beliefs, thoughts, methods, and values --- which are aligned with what can be expected in a true startup with ambitious goals. Skills are always secondary to us. Primarily, you must be someone who is not essentially looking for a job or career, rather starving for a challenge, you yourself probably don't know since when. A book can be written on what an applicant must have before joining a . For brevity, in nutshell, we need these three in you: 1. You must be [super sharp] (Just an analogue, but Irodov, Mensa, Feynman, Polya, ACM, NIPS, ICAAC, BattleCode, DOTA etc should have been your Done stuff. Can you relate solution 1 to problem 2? or Do you get confused even when solved similar problem in past? Are you able to grasp problem statement in one go? or get hanged?) 2. You must be [extremely energetic] (Do you raise eyebrows when asked to stretch your limits, both in terms of complexity or extra hours to put in? What comes first in your mind, let's finish it today or this can be done tomorrow too? Its Friday 10 PM at work -Tired?) 3. You must be [honourably honest] (Do you tell others what you think, or what they want to hear? Later is good for sales team for their customers, not for this role. Are you honest with your work? intrinsically with yourself first?) You know yourself the best. If not ask your loved ones and then decide. We clearly need exceedingly motivated people with entrepreneurial traits, not employee mindset - not at all. This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would be required to be proactive and responsive. ********************************************************************************* ROLE 1 Intern - Data Science & ML Team: Sciences Full-Time, Temporary Bangaluru, India Relevant Exp: minus 1 - 10 Years Background: Top Tier institute Compensation: INR 20K - 60K/month Real ROLE We are looking for students, graduates, and experienced folks with real passion for algorithms, computing, and analysis. You would be required to work with our sciences team on complex cases from data science, machine learning, and business analytics. Mandatory R1. Must know in-and-out of functional programming (https://docs.python.org/2/howto/functional.html) in Python with strong flair for data structures, linear algebra, & algorithms implementation. Only oops cannot not be accepted. R2. Must have soiled hands on methods, functions, and workarounds in NumPy, Pandas, Scikit-learn, SciPy, Stasmodels - collectively you should have implemented atleast 75 different techniques (we averaged out this figure with our past interns who have worked on this role) R3. Must have implemented complex mathematical logics through functional map-reduce framework in Python R4. Must have understanding on EDA cycle, machine learning algorithms, hyper-parameter optimization, ensemble learning, regularization, predictions, clustering, associations - at essential level R5. Must have solved atleast five problems through data science & machine learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted Preferred R6. Good to have required callibre to grasp underlying business for a problem to be solved ******************************************************************************* ******************************************************************************* ROLE 2 Intern - Deep Learning & AI Team: Sciences Full-Time, Temporary Bangaluru, India Relevant Exp: minus 1 - 10 Years Background: Top Tier institute Compensation: INR 25K - 75K/month Real ROLE We are looking for students, graduates, and experienced folks with real passion for algorithms, neural networks, and unstructured data analysis. You would be required to work with our sciences team on complex cases from language processing, audio analytics, and image classification. Mandatory R1. Must know in-and-out of functional programming (https://docs.python.org/2/howto/functional.html) in Python with strong flair for data structures, linear algebra, & algorithms implementation. Only oops cannot not be accepted. R2. Must have soiled hands on methods, functions, and workarounds in tensorflow - collectively you should have implemented atleast 50 different techniques (we averaged out this figure with our past interns who have worked on this role) R3. Must have implemented complex mathematical logics through functional map-reduce framework in Python R4. Must have understanding on CNNs, RNNs, MLP, Auto-Encoders - at essential level R5. Must have solved atleast three problems through deep learning. Mere coursera learning and/or Kaggle offline attempts shall not be accepted Preferred R6. Good to have worked on pre-processing techniques for images, audio, and text - OpenCV, Librosa, NLTK R7. Good to have used pre-trained models - VGGNET, Inception, ResNet, WaveNet, Word2Vec R8. Good to have required callibre to grasp underlying business for a problem to be solved ******************************************************************************* ******************************************************************************* ROLE 3 Intern - Web Development Team: Engineering Full-Time, Temporary Bangaluru, India Relevant Exp: minus 1 - 10 Years Background: Top Tier institute Compensation: INR 15K - 45K/month Real ROLE We are looking for students, graduates, and experienced folks with real passion for web development. You would be required to work with our engagement team on websites/web applications development. Mandatory R1. Must have working knowledge on front end (CSS, HTML, Javascript, JQuery) and Backend (MYSQL). Theoretical understanding and/or academic projects shall not be accepted R2. Must have designed & developed atleast three real-world web portals & applications Preferred R3. Good to have worked on wordpress with/without pre-built themes/ templates ******************************************************************************* Ideal YOU Y1. Studying or graduated in engineering, or any other data-heavy field at Bachelors level or above from a top tier institute Y2. Relevant experience of 0.25 - 3 years working on real-world problems in a reputed company or a proven startup Y3. You are a fanatical implementer who love to spend time with codes & workarounds, more than your loved ones Y4. You are true believer that human intelligence can be augmented through computer science & mathematics and your survival vinaigrette depends on getting the most from the data Y5. You are an entrepreneur mindset with ownership, intellectuality, & creativity as way to work. These are not fancy words, we mean it Actual WE W1. Real startup with Meaningful products W2. Revolutionary not just disruptive W3. Rules creators not followers W4. Small teams with real brains not herd of blockheads W5. Completely trust us and should be trusted back Why Us In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not…. We offer you: You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact. We try real hard to hire fun loving crazy folks who are driven by more than a paycheck. You shall be working with creamiest talent on extremely challenging problems at most happening workplace. How to Apply You should apply online by clicking "Apply Now". For queries regarding an open position, please write to [email protected] For more information, visit http://www.busigence.com Careers: http://careers.busigence.com Research: http://research.busigence.com Jobs: http://careers.busigence.com/jobs/data-science Feel right fit for the position, mandatorily attach PDF resume highlighting your A. Key Skills B. Knowledge Inputs C. Major Accomplishments D. Problems Solved E. Submissions – Github/ StackOverflow/ Kaggle/ Euler Project etc. (if applicable) If you don't see this open position that interests you, join our Talent Pool and let us know how you can make a difference here. Referrals are more than welcome. Keep us in loop.

We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has  world class investors and big data experts as part of the GP,  top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing.

We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data.

You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading.

Requirements:

• Atleast 3 years of relevant ML experience
• Graduation date : 2018 and earlier
•   3-5 years of experience in high level Python programming.
• Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities.
•   Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques. 
•   Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models.
• Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates
•   Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling. 
•   Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques.
•   A proven ability to lead and drive innovation to solve challenges and road blocks in project completion.
• A valid Github profile with some activity in it

Bonus to have:

•   Experience in storing and retrieving data from large and complex time series databases
•   Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling)
•   Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation. 
•   Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.) 
•   Knowledge of REST APIs and data extracting and cleaning techniques 
•   Good to have experience in Pyspark or any other big data programming/parallel computing
•   Familiarity with derivatives, knowledge in multiple asset classes along with Equities.
•   Any progress towards CFA or FRM is a bonus
• Average tenure of atleast 1.5 years in a company

• 3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.
• Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers)
• Strong problem solving skills and the ability to articulate really well.
• Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production.
• Strong working knowledge of python ML stack is very important here.
• Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.
• Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code.

Structured ML techniques for candidates:

 

1. GBM
2. XgBoost
3. Random Forest
4. Neural Net
5. Logistic Regression

Benefits: 1)Working with leaders of analytics Guru 2) working under 25+ years of business exp leaders 3) learning to market and sales pitch for product using social media 4) work from home based on your time 5) exp letter from leading analytics firm for 3 months 6) no stiphen