Graphic Designer & Video Editor

Teknobuilt is an innovative construction technology company accelerating Digital and AI platform to help all aspects of program management and execution for workflow automation, collaborative manual tasks and siloed systems. Our platform has received innovation awards and grants in Canada, UK and S. Korea and we are at the frontiers of solving key challenges in the built environment and digital health, safety and quality.

Teknobuilt's vision is helping the world build better- safely, smartly and sustainably. We are on a mission to modernize construction by bringing Digitally Integrated Project Execution System - PACE and expert services for midsize to large construction and infrastructure projects. PACE is an end-to-end digital solution that helps in Real Time Project Execution, Health and Safety, Quality and Field management for greater visibility and cost savings. PACE enables digital workflows, remote working, AI based analytics to bring speed, flow and surety in project delivery. Our platform has received recognition globally for innovation and we are experiencing a period of significant growth for our solutions.

Job Responsibilities

As a Quality Analyst Engineer, you will be expected to:

· Thoroughly analyze project requirements, design specifications, and user stories to understand the scope and objectives.

· Arrange, set up, and configure necessary test environments for effective test case execution.

· Participate in and conduct review meetings to discuss test plans, test cases, and defect statuses.

Execute manual test cases with precision, analyze results, and identify deviations from expected behavior.

· Accurately track, log, prioritize, and manage defects through their lifecycle, ensuring clear communication with developers until resolution.

· Maintain continuous and clear communication with the Test Manager and development team regarding testing progress, roadblocks, and critical findings.

· Develop, maintain, and manage comprehensive test documentation, including:

o Detailed Test Plans

o Well-structured Test Cases for various testing processes

o Concise Summary Reports on test execution and defect status

o Thorough Test Data preparation for test cases

o "Lessons Learned" documents based on testing inputs from previous projects

o "Suggestion Documents" aimed at improving overall software quality

o Clearly defined Test Scenarios

· Clearly report identified bugs to developers with precise steps to reproduce, expected results, and actual results, facilitating efficient defect resolution

Sales Associate

Company Description

Miko is an advanced artificial intelligence innovation lab with a mission to bring AI and robotics to every consumer home. Headquartered in Mumbai, India, our workforce spans several countries, including the United States, Canada, Europe, and the Middle East. To check out various product offerings, visit Miko's website

Position Introduction:

- Generate revenue by demonstrating our product in Hamleys store and closing sales either over the phone or face-to-face.

- Work with cutting-edge technology designed to reduce kids' screen time while making learning fun at an early age.

- Successful candidates may have opportunities for training, leadership roles, and managing key business accounts.

Responsibilities:

- Explain Miko Robot benefits to customers.

- Suggest suitable apps and features to the customers.

- Handling stocks.

- Coordinate within the teams.

- Provide daily sales reports and customer service.

- Meet monthly sales targets by demonstrating and selling the product in Hamleys store.

- Convert free app users into paid customers through emails, SMS, and direct sales.

Requirements:

- Good communication skills in English and regional language.

- Ability to plan and execute tasks.

- Persuasion and negotiation skills.

- Work well under pressure.

- Team player.

- Quick learner, detail-oriented, and self-motivated.

- Interest in marketing.

- Enthusiasm for technology.

Work Timings: 6 days a week and 9 hours a day (11am to 8pm/12pm to 9pm)

Working on Saturday and Sunday's is mandatory (No exception for this)

One day in a week will be declared as week off.

Openings at: Mumbai Onsite (BKC, Jio World Drive), Bangalore Onsite (Phoenix Market City), Kochi- (Lulu Mall), Hyderabad (Sarath City and Inorbit Mall)

About

Blend-ed, the brainchild of a team of educationalists and technologists who believe in science-backed learning, is an innovative and technology-rich platform that steps early into the futuristic blended learning system, envisioning a fundamental change in the prevailing conventional teaching and learning cultures. Working with us will be your contribution towards rewriting the history of education and to building the future of learning.

We are looking for a Senior Full Stack Developer to build scalable software solutions in the Ed-tech SaaS domain. In this role, you’ll have the sole responsibility for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end stack, development frameworks and third-party libraries.

Requirement : Technical Lead - Senior Full Stack Engineer.

Location : Bangalore, India.

Work Model : Hybrid

Experience : Preferably 3+ years in a similar role.

Joining Date : Immediate

 Salary : Rs 12,00,000 LPA - Rs 20,00,000 LPA (negotiable) 

Role Expectations & Responsibilities

• Work with product manager/s to ideate software solutions.
• lead the project from conception through implementation.
• Design client-side and server-side architecture.
• Build the front-end of applications through appealing visual design.
• Develop and manage well-functioning databases and applications.
• Write effective APIs.
• Test, Troubleshoot, debug and upgrade software.
• Create security and data protection settings.
• Write technical documentation.
• Strong organizational and mentoring skills.

Required Experience & Skills

• Proven experience as a Full Stack Developer or similar role.
• Experience developing web and mobile applications.
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, React etc.)
• Knowledge of back-end languages (e.g. Python/ NodeJS etc.).
• Familiarity with databases (e.g. PostgreSQL, MySQL, MongoDB), web servers (e.g. Apache, Nginx)

Desirable Experience & Skills

• Experience with Python web frameworks, specifically Django.
• Experience with React is a plus.
• AWS skills with knowledge of EC2, VPC, S3 etc.
• Experience in containerization (Docker) and container orchestration (Kubernetes).

Why Join Us:

At Blend-ed, we are committed to create a diverse work environment with a range of opportunities for professional and personal development of all our employees. We make learning easier, more efficient, more user-friendly and far more accessible, for all sorts of people, all across the world. As a member of team Blend-ed, you will work on most innovative projects that will revolutionise the learning ecosystem and make a real difference in millions of people’s learning experience.

Work Culture: With a task-driven office culture, we believe that optimal productivity is rooted in each individual's pace and strength, rather than rigid timelines. We follow a flexible work culture along with mutual understanding and support.

Growth at a personal level: Each member of our team gets the best nourishment in terms of opportunities, mental and moral support and a stage for their existing and enhancing skills, ensuring your personal growth alongside the company.

Creativity and Innovation: We root for creativity and innovation at work and this is a fixed formula to keep things interesting. You are welcome to lay your craziest ideas on the table or board for us to have conversations and coffee over.

Work Environment: Situated at Calicut, a bustling commercial centre in Kerala, which is emerged as one of the best cities to live in India in terms of education, health, entertainment, and the environment, our workspace in HiLite Business Park, flanked by the mall and residential areas, offers an environment of networking, convenience and class, which promotes an undeniably better life quality & experience.

Our Values For All Times:

Innovate, Always: We are committed to creativity and novelty because anything remarkable ever was born out of those.

Science-driven: We base the technological developments on theories and findings in cognitive science, making learning a richer experience.

Love it? Learn it! At Blend- Ed, learning is limited only by the amount of inquisitiveness and passion for exploring. We believe in unlimited exploration and pride in seeking knowledge at any cost.

Taller, Together: Growth is a teamwork at Blend- Ed. We work towards growing together, packing in the personal growth of each team member into the company's growth, mutual respect, motivation and inspiration ingrained into our conduct.

Better Tomorrows: Along with our dreams and goals of transforming the education system, we envision a better tomorrow for the world. The very idea of a better future is rooted in hope and we nurture it.

Ethics Uncompromised: Our work culture is founded in a code of ethics that preserves smooth relationships within the company and outside it, in order to meet our goals and other values.

• Providing solution overview training to business users explaining Dynamics AX functionality across various modules and processes
• Proposing necessary changes in business process to go with product functionality and configuring the product to suit the requirements

Desired Candidate Profile

• At least five years' experience in ERP implementation, configuration, system design or related business experience
• Microsoft Dynamics AX 2012 ,R3 certification and/or experience in Microsoft Dynamics 365 for Finance and Operations, AX 2012 R2, R3 or AX 7/D365FO are a plus
• Proficiency with Excel, PowerPoint, Outlook and Word
• Good command on administration, user rights, AP, AR, GL, inventory and production
• Excellent online presentation skills using Teams
• Ability to implement both Discrete and Process Manufacturing
• Deep knowledge in AP, AR, GL, Inventory, Warehouse management and FA    

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.