Lead Engineer - cv

What does the role look like?

We are looking for a high-energy, detail-oriented, and technically-savvy Quality Assurance Lead Should be an excellent team manager as well as individual contributor capable of understanding and driving test execution with minimal help. Who can work towards understanding application performance, functionality, and features to great depth enabling them to report issues, take ownership and drive them to closure.

What will you be doing?
 Develop and execute automated tests and test plans
 Efficiently execute test cases across all functional areas of the products(API and App)  Review product user interface for conformity to design guidelines
 Find, isolate, document, regress, and track bugs through resolution
 Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process
 Work with Engineering and product to understand the overall product requirements and technical architecture and how each feature is implemented  Ensure the highest quality product delivery with security.
 Evaluating and integrate open source and in house developed toolsets

What will you need ?
 Bachelor/Master degree in CS or related field from a reputed college
 Experience in manual testing for Application and APIs
 Experience in automation testing using available framework.
 Strong knowledge of QA methodologies, testing frameworks and tools
 Demonstrated experience in test planning, test design, test execution and reporting.
 Excellence in technical communication with peers and non-technical partners.
 Understanding & experience with software design pattern, restful APIs and microservice architecture
 Prior experience in start-ups or health-tech will be a plus

Exp-10 Years

Location Mumbai

Ready to work from Office

Permanent role

Role

Business Analytics/Data Analytics Lead

• Enable Business Transformation with Data Analytics by working with our big clients in major sectors such as Oil & Gas, Manufacturing, Retail, BFSI
• Partner business teams to understand the business area, work with the team to evolve and define the business problems, use-cases, translate the same into an analytical problem, design solution approach, define ROI, help execute to deliver relevant insights that lead to actions and business value.
• Connect business requirements with Technology solutions and be able to determine feasibility, technical gaps, size etc.
• Be able to define a project plan for the identified solutions, help hire and train technical resources, be the glue between Business team and the technical/implementation team
• Be proficient at solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to build solutions and/or creative approaches to solve ‘one of a kind’ problems.
• Embed tested solutions to make them business as usual and help quantify value benefits from analytics.
• Be creative and a committed problem-solver using Data and Advanced analytics skill alongside leadership and direct engagement of business leaders.
• Be a trusted advisor to the client CxOs/leadership team in evangelising the use of Data & Data Science in business decisions. Help accelerate the organisation journey to become data driven.
• Provide input during development and implementation phases, including formulation and definition of systems scope, objectives and necessary system enhancements for complex, high-impact projects
• Work with development and testing teams to deliver solutions and support UAT
• Identify and communicate risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment.

Qualifications

• 10+ years experience in technology/project management/product management/solution delivery
• 4+ years of relevant work experience in roles partnering in Data Analytics related use-cases and solutions resulting in significant cost, productivity and/or quality gains for the business
• Bachelors degree in a relevant technical field (Computer Science, IT, Statistics, Business Analytics or similar). MBA preferred

·       Experience of specifying and writing business requirements and suggesting appropriate solutions in the field of Data Analytics/AI

• Prior industry experience in defining/creating Data Analytics solutions  in one or more of Oil & Gas, BFSI, Manufacturing, Retail sectors.
• Strong preference for experience in setting up & managing analytics / data products / platforms & leading change management.
• Be able to articulate and have a keen eye on the value that Data Analytics, AI, Machine Learning, Data Lake/Catalogue can bring to organizations
• Ability to communicate complex quantitative insights in a precise, and actionable manner
• Strong communication skills and ability to work with peers & senior stakeholders demonstrating strong vertical and lateral influence.
• Working knowledge of Analytics tools such as PowerBI, Tableau, AI modelling such as Regression, Classification, and Time Series Problems.
• Experience building insights from analytics & telling data stories
• Passion for empirical research and for answering hard questions with data

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

1. Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
2. Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
3. Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
4. Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
5. Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
6. Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
7. Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
8. Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
9. Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
10. Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
11. Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
12. Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

1. Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
2. Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
3. Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
4. Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
5. Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
6. Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
7. Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
8. Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

JOB DISCRIPTION: -

We are looking for a passionate sales executive to join our sales team. The sales executive

responsibilities include generating leads, making sales calls, continuously updating our CRM

database, and meeting sales targets.

To be successful as a sales executive you should be an inspired self-starter and able to drive sales

growth. Ultimately, a top-notch sales executive should be able to build relation with customers

and close sales.

Sales Executive Responsibilities:

 Setting sales goals and developing sales strategies.

 Researching prospects and generating leads.

 Contacting potential and existing customers on the phone, by email, and in person.

 Preparing and sending quotes and proposals.

 Meeting daily, weekly, and monthly sales targets.

 Participating in sales team meetings.

 Selling wealth management products to the customer

 Responsible for Managing Sales Target

 Communicating with Customers, Ensuring Sales Growth

 should generate revenue of 2-3 times of the cost

 Incentives will be paid on a monthly basis which will add additional payment along with salary

Job Description:

• Works with team to drive improvements in code quality via manual testing
• Works to develop and execute QA strategies to meet and exceed corporate quality goals
• Delivers on capabilities for the product suite automation strategy
• Develops manual and automated test cases and configurations needed to meet testing of business requirements
• Executes test cases/scripts to ensure delivery of quality software applications, including Systems Integration, Regression, and Performance Testing 
• Generates test data to support the requirements and test case for various test phases
• Building and maintenance of quality standards as well as enforcing technical and testing standards
• Creates logs to document testing phases and defects
• Monitors and tracks resolution of defects and takes part in daily standup 
• Designs, monitors, and analyzes quality assurance metrics such as defect, defect counts, test results, and test status
• Identifies opportunities to adopt innovative testing technologies and techniques
• Looks beyond the obvious for continuous improvement opportunities

Qualification and Experience Requirements: 

• Bachelor’s Degree in computer science, computer engineering, or other technical disciplines, or equivalent work experience required
• 3+ years of experience in Technology, with an emphasis on QA, and proven ability in writing test cases, running functional or performance tests, and managing defects
• Solid experience in test-driven development, unit testing, functional testing, system integration testing, regression testing
• Must have proven analytical and problem-solving skills to help validate, verify, communicate & report software application issues
• Proficiency in written and spoken English
• Solid knowledge of QA methodologies, SDLC and STLC
• Working knowledge of test management software like Jira
• Strong in analytical skills and should be a team player
• Competent in executing test cases and passionate about quality
• Ability to handle conflict effectively

What you will do:

• Work with stakeholders (product owners, project managers, and scrum masters) to define and clarify requirements.
• Provide technical and work direction to the other global developers (be their conduit to the local team)
• Hands-on development of defined architecture and design of both front-end and back-end programming.
• Ability to keep informed of industry trends and technologies.
• Ability to break down complex requirements into specific work items.
• Implement and carry out unit testing.
• Leverage the DevOps team to ensure the product can be automatically built, deployed, and tested using CI/CD pipelines across all of the release cycles from dev to production.
• Strong grasp of modern security principles and how to apply them to applications

Minimum Qualifications:

• Degree in Computer Science, technical field, or equivalent professional experience.
• Proven ability to develop resilient code that performs, and scales based on application usage.
• 6+ years of experience in developing using JavaScript and JavaScript libraries and frameworks such as Angular and React
• 6+ years of experience building applications using JavaScript, HTML, CSS, Web, JSON/XAML-based REST API.
• 3+ years of experience building RESTful web services using NodeJS
• Experience with Unit Testing Frameworks like UnitJS, Mocha
• Understanding of code versioning tools such as Git or Visual Studio Team Services
• Experience with Visual Studio, Visual Studio Code, Atom or Eclipse
• Excellent oral and written communication skills
• Ability to work in a distributed and global environment
• Understanding of building applications deployed in the cloud (Azure, AWS, GCP) leveraging PaaS and IaaS Services
• Able to work in a fast-paced environment with a diverse group of people

Preferred Qualifications:

• Proven ability to quickly learn new technologies
• Experience with agile methodologies
• Strong problem-solving orientation
• Can manage multiple competing tasks/projects at the same time
• Strong team and customer service focus

Responsibilities

• Build and mentor the platform team at Checko.
• Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
• Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
• Entrepreneurial and out-of-box thinking essential for a technology startup
• Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability

Requirements

• Must have design, development, testing, deployment of systems capable of handling massive amounts of requests with high reliability and scalability
• Must have strong command in writing production-level code in Java or Python including skills in debugging, performance analysis/optimization and memory usage optimization
• Must have worked with real-time web/mobile applications and event-driven architectures
• Must have experience working with relational and non-relational databases and understanding their data models and performance tradeoffs.
• Must have solid engineering principles and a clear understanding of data structures and algorithms
• Should have knowledge of service-oriented architecture, caching techniques, micro-services, and distributed systems
• Should have basic understanding of C++/reactJS/Angular/Node

Desired Skills and Experience

Algorithms, debugging, performance optimization on low-end processors, data structures, REST, service-oriented architecture.