Merchant Support / Integration Specialist

Job Overview:

We are looking for an experienced HR Recruiter to manage the entire hiring process, from sourcing and screening candidates to onboarding top talent. The ideal candidate will have strong communication skills, an in-depth understanding of recruitment strategies, and the ability to attract the best creative professionals for our team..

Key Responsibilities:

• Oversee the full recruitment cycle, from job posting to onboarding.
• Identify and engage top candidates through various sourcing methods.
• Conduct initial screenings and coordinate interviews with hiring managers.
• Maintain and update hiring platforms and job portals.
• Ensure a seamless and professional candidate experience.
• Manage recruitment records and generate reports.
• Assist in additional HR functions, including employee engagement and retention strategies.

Qualifications:

• Bachelor's degree in Human Resources, Business Administration, or a related field.
• Proven experience in talent acquisition, preferably within the creative or design industry.
• Strong interpersonal and communication skills.
• Proficiency in applicant tracking systems and recruitment tools.
• Ability to manage multiple hiring processes effectively.

What We Offer:

• Competitive salary with performance-based incentives.
• A collaborative and creative work environment.
• Opportunities for professional growth and career advancement.
• Comprehensive health and wellness benefits.

Why Join Us:

At All Time Design, we are committed to delivering top-quality design solutions that exceed client expectations. As a Recruiter your proficiency in recruitment strategies and candidate engagement will be instrumental in building a strong workforce and driving our organization's sustained success.

Job Type: Full-time

Pay: ₹20,000.00 - ₹40,000.00 per month

Benefits:

• Flexible schedule

Schedule:

• Day shift

Work Location: In person

• Working directly with clients to understand requirements for a green field development
• Designing the technology and cloud infrastructure architecture to achieve the functional and nonfunctional requirements
• The product you will be working on needs to scale up to support millions of users an efficient micro service distributed architecture
• Solution needs to be easy to deploy and manage on multiple cloud providers (AWS, GCP or Azure)
• Mentoring, guiding and training the team on various technology, quality and security aspects
• Guiding the team to implement automated CI/CD processes
• Strong analytical, problem solving and data analysis
• Excellent communication, presentation and interpersonal skills are a must
• Micro service frameworks such as Java SpringBoot
• Design and implement automated unit and integration tests
• Writing scalable, robust, testable, efficient, and easily maintainable code
• Familiarity with most AWS Services - EC2, ECS, RDS, ECR, S3, SNS, SQS, and more
• Experience with Docker and Kubernetes
• Deploying and Scaling microservices to AWS
• Hands-on experience with AWS cloud platform in evaluation and cost estimation

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! Material Depot (materialdepot.in) is on a mission to be India’s largest tech company in the Architecture, Engineering and Construction space by democratizing the construction ecosystem and bringing stakeholders onto a common digital platform. Our engineering team is responsible for developing Computer Vision and Machine Learning tools to enable digitization across the construction ecosystem. The founding team includes people from top management consulting firms and top colleges in India (like BCG, IITB), and have worked extensively in the construction space globally and is funded by top Indian VCs.

Our team empowers Architectural and Design Businesses to effectively manage their day to day operations. We are seeking an experienced, talented Data Scientist to join our team. You’ll be bringing your talents and expertise to continue building and evolving our highly available and distributed platform.

Our solutions need complex problem solving in computer vision that require robust, efficient, well tested, and clean solutions. The ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences that will be used by millions.

• 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
• Experience visualizing data to stakeholders
• Ability to analyze and debug complex algorithms
• Good understanding and applied experience in classic 2D image processing and segmentation
• Robust semantic object detection under different lighting conditions
• Segmentation of non-rigid contours in challenging/low contrast scenarios
• Sub-pixel accurate refinement of contours and features
• Experience in image quality assessment
• Experience with in depth failure analysis of algorithms
• Highly skilled in at least one scripting language such as Python or Matlab and solid experience in C++
• Creativity and curiosity for solving highly complex problems
• Excellent communication and collaboration skills
• Mentor and support other technical team members in the organization
• Create, improve, and refine workflows and processes for delivering quality software on time and with carefully calculated debt
• Work closely with product managers, customer support representatives, and account executives to help the business move fast and efficiently through relentless automation.

• You’re part of an agile, multidisciplinary team.
• You bring your own unique skill set to the table and collaborate with others to accomplish your team’s goals.
• You prioritize your work with the team and its product owner, weighing both the business and technical value of each task.
• You experiment, test, try, fail, and learn continuously.
• You don’t do things just because they were always done that way, you bring your experience and expertise with you and help the team make the best decisions.

• Strong knowledge of and experience with the functional programming paradigm.
• Experience conducting code reviews, providing feedback to other engineers.
• Great communication skills and a proven ability to work as part of a tight-knit team.

The Data Entry/Loan Support Specialist is responsible for reviewing Mortgage loan documents to analyze and correct any discrepancies/errors and enter the data into the system. This position requires the LSS to possess high attention to detail as this position involves responsibility for the accuracy of documentation critical to the loan Originations process.

Responsibilities

• Accurately and efficiently process data by reviewing mortgage loan documents and entering data into the system / Indexing of mortgage documents into appropriate document categories / Follow directions, procedures

Requirements (Qualifications and Skills):

• High school diploma required. Bachelor's degree preferred
• 2 - 3 years of reviewing and analyzing US Residential Mortgage documents
• Knowledge of mortgage industry documents
• Ability to work in a fast-paced, team-oriented work environment
• Ability to multi-task
• Strong technical and computer skills
• Acute attention to detail
• Excellent organizational and time management skills

Salary and Benefits

• Medical insurance
• Transportation provided

Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.

Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.

Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.

We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!

• Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, design and develop web applications and SPA’s i.e., UI/UX, and underlying backend – API’s, security framework, scalable microservices etc.
• Daily Grind: Interface with the product manager, project managers, and the engineering team to achieve sprint goals on the product roadmap.
• Career Progression: Senior Full Stack Engineer, Technical Architect

• Work in a product-development team capable of independently authoring software products.
• Guide junior programmers, set up the architecture, and follow modular development approaches.
• Design and develop code which is well documented.
• Optimize of the application for maximum speed and scalability
• Adhere to the best Information security and Devops practices.
• Research and develop new approaches to problems.
• Design and implement schemas and databases with respect to the AI application
• Cross-pollinated with other teams.

HARD AND SOFT SKILLS

Must Have

• Problem-solving abilities
• Extremely strong programming background – data structures and algorithm
• Angular/React, Strong UI/UX skills
• Very strong python background, TDD, CI/CD,
• Software design skills i.e., OOPs, design patterns
• SQL, NoSQL – design of schemas and databases
• Microservices architecture, Cloud native apps

Good to Have

• Enterprise Design Patterns
• Distributed Systems
• Exposure to ML and Data Science
• Docker, Kubernetes, AKS, Kafka, Graph databases