Android Developer

About Team Sequoia

Job Description:

 

• The Flutter Mobile Developer will create multi-platform apps for iOS and Android using Google's new Flutter development framework.
• Prior experience developing with Flutter is mandatory
• Flutter is very new, so even if you have never launched a production Flutter app, familiarity with it is important.
• Experience developing with Dart, whether with Flutter or for the web, is required. 
• Additionally, deep experience contributing to and managing high-scale production mobile apps is desired
• Be proficient in using version control and continuous integration, with tools such as Git and Jenkins
• Experience with third-party libraries and APIs

 

 

 

Skills

 

• Desire to work in a Startup environment, able to self-manage.
• Must have built at least two Android and/or iOS apps with Flutter 
• Proven working experience in software development
• Working experience in mobile development
• Have published one or more mobile apps in Google Play or App Store
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
• Solid understanding of the full mobile development life cycle
• Experience working in an agile development process.
• Good communication skills in English

 

Website: www.brandzgarage.com

Roles and Responsibilities:

• Review training content and assessments. The review parameters include (but are not limited to) the following:

○ Rewrite the training content wherever necessary to simplify it or to make it more age

appropriate.

○ Create engaging learning activities and provide exercises and activities that enhance

the learning process.

○ Devise modes of assessment, such as tests or quizzes, to measure the effectiveness

of course.

○ Analyze and apply trends and best practices in learning technologies and instructional

design.

○ Suggest instructional enhancements to the content and assessments so the learning

experience is superior.

○ Check if all the training assets follow the instructional guidelines.

○ Work with subject matter experts to identify target audience’s training needs

○ Do a thorough language review.

○ Do a thorough formatting check and fixes.

• Brainstorm with the content developer to storyboard the concepts introduced in a lesson/chapter.
• Create guidelines and templates as and when needed.
• Conduct audits of the live classes to check how the content is getting translated into the actual class experience.
• Give inputs for process improvements.

 

Skill Set:

1. General:

• In-depth understanding of activity based teaching-learning methods with a strong knowledge of pedagogies to teach 21st Century Skills.
• At least 3-4 years of experience in instructional design and/or content writing.
• Experience in editing documents with an eye for details.
• Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests, and manage laterally and upwards.
• Creative and analytical thinker with strong problem-solving skills.
• Excellent verbal and written communication skills.

○ Must demonstrate the ability to communicate effectively at all levels of the 

organization.

1. Technical:

• Understanding of Object-Oriented concepts.
• Basic understanding of core programming concepts with teaching skills will be an asset.
• Good exposure on-
  • Object-Oriented Programming language(s) (preferably JavaScript/Python)
  • Web Technology (HTML/CSS/JavaScript)- Front End Development
  • Block-Based Coding environment like Code.org or Scratch will be a plus
  • Knowledge of RDBMS (MySQL, Airtable, Firebase etc.) will be an added advantage

Roles and Responsibilities
• Code, develop, design and architect features related to the existing application. We
expect you to own modules end to end and take pride in the work products you
ship.
• Lead from the front, when it comes to delivering high quality work products. Serve
as a mentor to the team members
• Create and define performance metrics. Ideate, innovate and hack through the
existing systems to improve performance.
• Perform code reviews, set coding practices and guidelines within the team.
• Make sense of the product specs, be nimble in getting the issues resolved. Be a
thought leader.
Critical Functional Skills:
• Solid understanding and knowledge of Java/C/C++. You should understand the
concepts of multithreading, I/O, messaging, instrumentation etc and their
implementation in Java/Any other Object-Oriented Language.
• Proficiency in the implementation of algorithms and the use of advanced data
structures to solve problems in computing. A solid foundation in the principles of
computer science is desired.
• Ability to write clean, modular, and loosely coupled code by the use of design
patterns.
• He/She should be able to break down and architect complex software systems. For
example- Build
• Cars Availability Engine for Ola.
• Strong decision-making ability
• Deep expertise in at least one programming language & tech stack.
• Substantial experience in building complex and scalable solutions.
• Strong object-oriented design skills, ability to apply design patterns, and an uncanny
ability to design intuitive module and class-level interfaces
• The ability to do deep problem solving and build elegant, maintainable solutions to
complex problems.
• Experience leading multi-engineer projects and mentoring junior engineers
• Experience with full life cycle development in any programming language on a Linux
platform
• Comprehensive operational experience including, optimizations, deployments and
tuning servers like apache/mysql/tomcat/solr
• Prior experience in working with Agile software methodologies (XP, Scrum), TDD,
and Continuous Integration(CI/CD) a plus.
• Experience in building data-driven web application design and development is a plus
• Expert level experience in building a scalable, large and complex business
application.
Experience Required:
• Typically with an experience of 5+ years of development experience in a product
firm.
• Must have lead, designed, architected and delivered at least 1 project in his previous
assignments independently.
Minimum Qualifications Required:
• Btech/MS from a reputed Institute
• Deep expertise with any or combination programming languages: Java, C++, C#,
Ruby, Scala,
• Go any object-oriented high-level proprietary or open-source language with strong
programming constructs. We are not skill-specific but go by strength in
competencies
• Machine coding
• Single machine in-memory program
• Need a working code with functionality
• Readable and well-designed code with right abstractions, separation of concerns,
• right design patterns
• Performant code with concurrency and efficient data structures
• Write test cases covering the happy path and edge cases
• Problem Solving
• Choose the right combination of data structures to solve the problem
• Identify most edge cases for the problem

The Director for Data Science will support building of AI products in Agile fashion that
empower healthcare payers, providers and members to quickly process medical data to
make informed decisions and reduce health care costs. You will be focusing on research,
development, strategy, operations, people management, and being a thought leader for
team members based out of India. You should have professional healthcare experience
using both structured and unstructured data to build applications. These applications
include but are not limited to machine learning, artificial intelligence, optical character
recognition, natural language processing, and integrating processes into the overall AI
pipeline to mine healthcare and medical information with high recall and other relevant
metrics. The results will be used dually for real-time operational processes with both
automated and human-based decision making as well as contribute to reducing
healthcare administrative costs. We work with all major cloud and big data vendors
offerings including (Azure, AWS, Google, IBM, etc.) to achieve our goals in healthcare and
support 
The Director, Data Science will have the opportunity to build a team, shape team culture
and operating norms as a result of the fast-paced nature of a new, high-growth
organization.

• Strong communication and presentation skills to convey progress to a diverse group of stakeholders
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps and product delivery
• Experience building stakeholder trust and confidence in deployed models especially via application of the algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• Provide mentoring to data scientists and machine learning engineers as well as career development
• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables
• Provide training and guidance for team members when required
• Provide performance feedback when required by leadership

The Experience You’ll Need (Required):
• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields
• Significant healthcare data experience including but not limited to usage of claims data
• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives
• 9+ years of industry experience in data science, machine learning, and artificial intelligence
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery
• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the
business process change, IT / cloud operations, meeting production level code standards
• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results
• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly
made staff decisions

• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and
statistics including Bayesian approaches at master’s degree level and above
• 6+ years of programming experience in C++ or Java or Scala and data science programming languages like Python and R including strong understanding of
concepts like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture
• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and
regressions, SVM, trees, model evaluations with several projects over 3+ years
• Very strong understanding and experience in Natural Language Processing,
reasoning, and understanding, information retrieval, text mining, search, with
3+ years of hands on experience
• Experience with developing and deploying several products in production with
experience in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the
following cloud vendors like AWS, Azure, and Google
• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks
Big Data platform with Spark, Hive, Kafka etc.
• Three plus (3+) years of experience with high-performance computing like
Dask, CUDA distributed GPU, TPU etc.
• Presented at major conferences and/or published materials

Responsibilities

• Lead the development of the backend systems for our first product
• Build reliable, secure and performant backend systems
• Drive test coverage and continuous delivery automation within the team
• Mentor and provide feedback to teammates

Requirements

• 5+ years of software development experience
• Strong computer science fundamentals
• Deep and wide knowledge of Java ecosystem
• Can write code that is readable, maintainable, secure and performant
• Know the importance of tests and how to approach writing different types of tests
• Good intuition for REST API design
• Deep understanding of relational databases, transactions, entity-relationship modeling
• Comfortable writing highly concurrent systems
• Experienced in using profilers, tuning garbage collection, optimizing SQL queries

Desired Skills and Experience

• Golang , Java , Python , Ruby

Required skill

• Around 6- 8.5 years of experience and around 4+ years in AI / Machine learning space
• Extensive experience in designing large scale machine learning solution for the ML use case,  large scale deployments and establishing continues automated improvement / retraining framework.
• Strong experience in Python and Java is required.
• Hands on experience on Scikit-learn, Pandas, NLTK
• Experience in Handling of Timeseries data and associated techniques like Prophet, LSTM
• Experience in Regression, Clustering, classification algorithms
• Extensive experience in buildings traditional Machine Learning SVM, XGBoost, Decision tree and Deep Neural Network models like RNN, Feedforward is required.
• Experience in AutoML like TPOT or other
• Must have strong hands on experience in Deep learning frameworks like Keras, TensorFlow or PyTorch 
• Knowledge of Capsule Network or reinforcement learning, SageMaker is a desirable skill
• Understanding of Financial domain is desirable skill

 Responsibilities 

• Design and implementation of solutions for ML Use cases
• Productionize System and Maintain those
• Lead and implement data acquisition process for ML work
• Learn new methods and model quickly and utilize those in solving use cases

Role: The role of lead is not a textbook checklist, however, there are technical responsibilities that a team must fulfill and we expect the tech lead to ensure these responsibilities are covered and be able to cover them themselves if needed. We expect tech leads to taking a collaborative approach to leading their team. This is especially important when considering the amount of experience that each of our consultants brings. Given this, we expect you to: ● Respect the other members of your team and recognise you don’t always know best. ● Spot gaps in team capability and figure out how to fix them as a team. ● Be hands on, able and willing to contribute to development, however, don’t expect to be coding all of the time. ● Encourage the team to be proactive, give them responsibility. Responsibilities ● Have a clear understanding of the deployment architecture ● Have a clear understanding of the build pipeline ● Understand how you get changes into production ● Understand how all parts of the system work together ● Facilitate technical communication with other teams, both within your engagement and across other EE clients. ● Actively seek to remove knowledge silos within the team ● Ensure you have a release / branching strategy in place ● Act as the primary point of contact for your team when communicating with other teams ● Ensure there is a technical vision for the team ● Liaise with environment specialists to ensure smooth deployments to production ● Encourage the team to follow good development practices aligned to EE technical values ● Feedback to the delivery lead or engagement manager on the quality of your team (good and bad) ● Recognise team members that have the potential to grow into team leads ● Ensure the use of new technologies or dependencies does not block the team. ● Ensure the team keeps necessary architectural documents up to date ● Keep an eye on the long term consequences of architectural choices, and remind others when necessary ● Build good relationships with your team members. Act as a mentor when required ● Keep the client informed and engaged in the technical side of the project ● Build relationships across your client community Technologies / Experience The successful candidate must have the following experience: ● Worked as the tech lead of a development/delivery team in a large organisation ● Have worked with a variety of different technical architect roles ● Be deeply proficient in at least one programming language ● Be comfortable using other languages and evidence using multiple languages ● Have hands-on experience with some form of configuration management tooling, e.g. Ansible, Chef, Puppet ● Have hands-on experience of at least one continuous integration and continuous delivery technology, e.g. Jenkins, Go, Team City or Bamboo. ● Full stack development experience from user interface through to data persistence ● A strong proponent of XP practices such as TDD ● Working with a delivery team to formulate an automated test strategy ● Worked as part of a number of agile delivery teams and seen a number of different approaches to delivery ● Good appreciation of secure coding practices and end to end system security The following exposure will also be looked on favorably: ● Performing an ‘architect’ role, while retaining hands-on involvement ● Working with cloud hosting platforms such as AWS, Rackspace, Azure etc. ● Infrastructure management technologies such as Cloud Formation or Terraform