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JOB DESCRIPTION: FULL STACK DEVELOPER

About Company: Do you want to work in a fast growing company by doing meaningful work and have fun doing it? Remitbee, a FinTech with headquarters in Canada and office in Chennai is seeking a skilled full stack developer with experience in React and Node JS. Individuals who apply for Remitbee careers should be passionate about tech and driven towards innovating the industry further with the Remitbee team. This position will be based out of Chennai.

This position also comes with the opportunity for career growth and working hour flexibility. We look forward to reading your application. At least 3+ years of experience in backend technologies like Node.js, Express, Sequelize

What will you do?

·      Work in an agile team of developers, QA, DevOps and founders

·      Implement new systems and redesign legacy systems, using leading technologies, to support advancing Research business requirements

·      Research and analyze business and system needs. Explore solution options to recommend designs and technologies

·      Writing test cases

Skills and requirements:

·      At least 3+ years of experience in backend technologies like Node.js, Express, Sequelize

·      Experience in frontend technologies such as React JS, Next JS, Material UI

·      Experience with automated task runners such as Grunt or Gulp

·      Experience in Database like MySQL and/or PostgreSQL

·      Comfortable applying engineering best practices for Test Driven Development, integration testing version control, release management, work estimation and planning

·      Experience to work with Rest and GraphQL APIs

·      You know how to use Git,

·      You are passionate about code quality. Writing tests and documentation belong to your natural workflow.

·      Participate in or lead all parts of the software development lifecycle, including analysis, design, programming, testing, implementation, and support.

·      A history of active contributions to open source projects

Competencies:

·      Strong communication skills

·      Self-Motivated

·      Willingness to learn new tools and technology and work in a collaborative environment

Note: Candidate must worked on more into backend development (NodeJS)

• Work closely with design, product management, and front-end teams to create REST APIs using NestJS
• Write reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Work on the implementation of security and data protection
• Review and optimize the app usage by monitoring key metrics and rectifying the issues proactively

• 1+ years of experience in NodeJS-based frameworks like NestJS, and microservices-based architecture is a bonus.
• Understanding of OOPS concepts, persistence, threading, queuing, and caching.
• Thorough knowledge of designing, implementing and scaling relational and document-based databases
• A love for systems and an ability to think through and plan for their life cycles, edge cases, interactions, and failure modes
• First principles thinking, Excellent problem-solving ability
• A good all-rounder with a can-do, startup mentality

• Experience with ReactJS
• Cloud deployment and scaling experience

About the team

Vakilsearch is on a mission to make Legal Simple. We are the leaders in Indian Legal, Tax and Compliance. Our mission is simplifying businesses to be in compliance with Government through end to end process and workflow automation. This is the key initiative of Vakilsearch as we look to revolutionize legal space in India.

We are a technology-driven platform, offering services that cover the legal needs of start-ups and established businesses. Some of our services include incorporation, government registrations & filings, accounting, documentation and annual compliances. In addition, we offer a wide range of services to individuals, such as property agreements and tax filings. Our mission is to provide one-click access to individuals and businesses for all their legal and professional needs.

• Strong proficiency with JavaScript
• Strong knowledge in JavaScript Object Oriented Programming
• Strong Knowledge of Node.js and frameworks such as Express
• Good Understanding of the nature of asynchronous programming model
• Good Understanding of callbacks and event emitters
• Good Experience in Node.js Module/Library development
• Basic understanding of front-end technologies, such as HTML5, and CSS3
• Proficient understanding of code versioning tools, such as Git
• Working experience with MongoDB or equivalent nosql data store

• Designing and Developing web applications using Laravel 7 / 8
• Closely working front-end and back-end developers on projects.
• Hands on experience with handing MySQL queries
• Excellent logical and analytics skill
• Experience on handling and developing API end points
• Experience with Payment Gateway integrations and implementations
• Knowledge on any Frontend Framework - Bootstrap / Foundation / Backbone (Secondary skills, added advantage)

• Follow standard coding structure with Security first approach to avoid vulnerabilities such as SQL Injection and XSS
• Sound knowledge on integrating multiple payment gateway

The ideal candidate should be a self-motivated, multi-tasker, and demonstrated team player. You will be responsible for the production support of software products and coordinating with various teams for support. You should have outstanding communication and Team-Player skills.

Educational Qualification: BCA, MCA or BE/B.Tech (CS)

Must-know technologies: Java,
Good to know technologies: DMN tools
Experience: 02 Years - 05 Years
Skill Level: Good

Responsibilities:

• Contribute to Java development work as well as the latest Decision model and notation tools

   

• Comply with coding standards and directions given by his direct manager Collaborate with an international and diverse team of Data Architects, Business Analysts, and Project Managers

• Tasks will be assigned and after completion, code need to be committed and task assigned for review by Senior Java developer

• Work with technology stakeholders to devise solutions that will fulfill business requirements and meet organizational strategic goals

• Develop application functionality which meets business requirements with high quality within given deadlines - develop maintainable, well-documented application functionality with an eye toward standardization, common components, simplicity, performance, robustness and other attributes of enterprise-strength solutions

• Thoroughly test all functionality - utilize detailed and thorough practices including negative testing, testing of boundary conditions, , and work collaboratively with business areas.

• Support interfaces between the deployment of developed applications and the decommissioning of legacy applications

• Support with the Development and Infrastructure Teams

• Design, and develop scalable, high-performance, highly reliable and secure applications using waterfall and agile methodologies

• Create reusable code

• Experience of supporting medium/large scale Support / implementation / SAP ECC on HANA .
• Worked with SAP MM, SD, FICO and HCM.Having experience in S4 HANA implementation.
• Absolute understanding of mapping technical designs to Functional Documents (FS) & creating/reviewing corresponding Technical Specs (TS).
• Detailed & exhaustive understanding of coding practices & naming conventions in ABAP.
• Deliver of New Business Request/ Change Request with good quality, the defined timeline and the defined budget Data Dictionary Concepts (Mandatory)Report development classical / Interactive / ALV ,SAP Script / Smart forms /Adobe Forms Module Pool ,SAP BAPI/RFC Performance optimizations
• Proficient in finding correct User Exit / SAP Enhancements Points and SAP BADI.IDOC Configuration, extensions, custom IDOC (Mandatory as working knowledge , if not complete hands-on)

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.

Role description:

TheDataTeam is looking for a Senior consultant for its consulting services.

The Senior Consultant is a key role in the organization, and will own and lead pre-sales engagements from post lead qualification to deal closure, where engagements are predominantly from the realm of analytics, data science and data engineering. 

Responsibilities:

- Meet with assigned clients at various levels of seniority and perform initial assessment of requirements, business problems

- Collect information about the client's business through interviews and workshops and be able to distill back to the engineering/delivery/PoC team members.

- Present findings and suggestions to clients with ample justification and practical advice

- Develop detailed business plans, proposals to address business problem

- Demonstrate interpersonal skills to engage with senior stakeholders

- Map business problems to technical solutions and convey the technical solution in a manner suited for the client

- Work closely with the Business Development team including Marketing and Sales to present the best foot forward in technical and analytics discussions.

- Ideate and prototype solutions using data science and data engineering concepts, tools and programming to demonstrate applicability to problem statements. 

Requirements:

- Proven experience as consultant or equivalent

- Graduate / Post-Graduate in Computer science or equivalent

- Knowledge of technology in general with expertise on Big Data ecosystem - Proficiency in Cloud ecosystem is a must

- Open to travel both in India and Outside India.

- Outstanding communication and interpersonal skills

- Analytical mind with excellent data collection and analysis skills

- Aptitude in creative problem-solving

- Should be able to handle multiple leads, prospects at same time

- Quick thinker and able to adapt to various situations quickly with minimal hand-holding

- Should have hands-on experience in providing technical solutioning.

- Should have hands-on experience in writing a code in shell scripting / python scripting etc.

- Should have hands on experience in end-to-end POC execution.

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred