Real Estate Marketing Associate

• Experience in Spring Boot, Jenkins, Git, Hibernate, Kubernetes, and Docker
•  Experience in the development of scalable and extensible systems using Java
•  Proficiency in Database technology such as MySQL, Oracle, and MongoDB
• Routines Sync & Async
• Solid and fluent understanding of algorithms and data structures
• Excellent software design, problem-solving and debugging skills
• Demonstrated high ownership in previous projects
• Excellent Communication Skills"

Who Are We

A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.

ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.

WHY US

• Join top AI company
• Grow with your best companions
• Continuous pursuit of excellence, equality, respect
• Competitive compensation and benefits

You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.

To learn more about how we work, please check out

https://www.orbo.ai/.

Description:

We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.

Responsibilities:

• Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
• Lead a team of ML engineers in developing an industrial AI product from scratch
• Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
• Tune the models to achieve high accuracy rates and minimum latency
• Deploying developed computer vision models on edge devices after optimization to meet customer requirements

Requirements:

• Bachelor’s degree
• Understanding about depth and breadth of computer vision and deep learning algorithms.
• Experience in taking an AI product from scratch to commercial deployment.
• Experience in Image enhancement, object detection, image segmentation, image classification algorithms
• Experience in deployment with OpenVINO, ONNXruntime and TensorRT
• Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
• Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
• Proficient understanding of code versioning tools, such as Git

Our perfect candidate is someone that:

• is proactive and an independent problem solver
• is a constant learner. We are a fast growing start-up. We want you to grow with us!
• is a team player and good communicator

What We Offer:

• You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
• You will be in charge of what you build and be an integral part of the product development process
• Technical and financial growth!

Role & Responsibilities

You will be working with the Rust compiler and will be responsible for compiling to alternate targets such as WebAssembly

You will be exposed with TDD for unit testing individual functions and integration testing for testing publicly exposed APIs

Working with a Git style workflow where every commit deploys to a stagingenvironment and merged pull requests deploy to production

Setting up CI/CD pipelines for testing and deployment (canary, staging) using Github actionsaccording to project needs

Developing software in Rust

Maintaining and improving existing rust codebases.

Field Sales Executive-

Urgent requirement for Field Sales Executive. It is on the company payroll. Roles and responsibilities: Identifying and acquiring new distributors, as well as managing existing ones.

Developing & implementing sales strategies and plans to meet revenue goals.

Effectively managing and driving the sales cycle from prospection through to successful closure via local marketing activities

Building strong relationships with partners in the business territory.

Prepare regular reports and conduct monthly meetings to review team performance.

Analyzing market trends and competitors' activities.

Key Skills: - Sales Executive, digital marketing services sale, software sales, Sales Promotor, Promoter, Channel Sales, Sales, Business Development, Distributor Sales, Field Sales, Direct Sales, Secondary Sales, Sales Support, General Trade, Marketing, Field job, distributor Sales Management, Channel Sales Management, handling distributors, retail sales, retail channel sales, B2B sale, B2C sale.

Role: Field Sales Executive

Industry Type: Software Development and digital marketing services

Department: Sales & Business Development

Employment Type: Full Time, Permanent

Role Category: Retail & B2C Sales

Education

UG: Any Graduate

PG: Any Postgraduate

Doctorate: Doctorate Not Required

We are looking for an AI Architect to join our team.

Responsibilities

• Architecture Design: Develop scalable and efficient AI architectures.
• Technical Guidance: Provide expertise and guidance to development teams.
• System Integration: Collaborate to integrate AI technologies into systems.
• Performance Optimization: Optimize AI models and infrastructure.
• Data Management: Manage large datasets for AI training.
• Ethical Considerations: Address ethical and privacy concerns.
• Technical Documentation: Create comprehensive technical documentation.
• Collaboration and Communication: Collaborate with stakeholders.
• Problem-Solving: Analyze and troubleshoot technical issues.
• Continuous Learning: Stay updated with AI advancements.

Requirements

• Education: Bachelors or masters degree in computer science or related field.
• Experience: 8+ years of experience with 3+ years as an architect. Extensive experience in Gen AI and LLM technologies, including exposure to open source LLMs is a must.
• Technical Expertise: Proficiency in NLP, machine learning, and deep learning. Familiarity with open source LLM frameworks like GPT-3/4 or similar models.
• Architectural Design: Ability to design scalable and efficient AI architectures.
• System Integration: Skill in integrating AI technologies, including open source LLMs, into new or existing systems.
• Performance Optimization: Experience in optimizing AI models and systems, including open source LLMs, for efficiency.
• Data Management: Knowledge of handling large datasets for Gen AI and LLM training, including open source LLMs.
• Ethical Considerations: Understanding of AI ethics and privacy concerns, particularly relevant to open source LLMs.
• Collaboration and Communication: Strong teamwork and communication skills.
• Problem-Solving: Aptitude for troubleshooting and resolving technical challenges related to open source LLMs.
• Continuous Learning: Willingness to stay updated with advancements in Gen AI, LLMs, and open source LLM technologies.

• Desire to explore new technology and break new ground.
• Are passionate about Open Source technology, continuous learning, and innovation.
• Have the problem-solving skills, grit, and commitment to complete challenging work assignments and meet deadlines.

Qualifications

• Engineer enterprise-class, large-scale deployments, and deliver Cloud-based Serverless solutions to our customers.
• You will work in a fast-paced environment with leading microservice and cloud technologies, and continue to develop your all-around technical skills.
• Participate in code reviews and provide meaningful feedback to other team members.
• Create technical documentation.
• Develop thorough Unit Tests to ensure code quality.

Skills and Experience

• Advanced skills in troubleshooting and tuning AWS Lambda functions developed with Java and/or Python.
• Experience with event-driven architecture design patterns and practices
• Experience in database design and architecture principles and strong SQL abilities
• Message brokers like Kafka and Kinesis
• Experience with Hadoop, Hive, and Spark (either PySpark or Scala)
• Demonstrated experience owning enterprise-class applications and delivering highly available distributed, fault-tolerant, globally accessible services at scale.
• Good understanding of distributed systems.
• Candidates will be self-motivated and display initiative, ownership, and flexibility.

Preferred Qualifications

• AWS Lambda function development experience with Java and/or Python.
• Lambda triggers such as SNS, SES, or cron.
• Databricks
• Cloud development experience with AWS services, including:
• IAM
• S3
• EC2
• AWS CLI
• API Gateway
• ECR
• CloudWatch
• Glue
• Kinesis
• DynamoDB
• Java 8 or higher
• ETL data pipeline building
• Data Lake Experience
• Python
• Docker
• MongoDB or similar NoSQL DB.
• Relational Databases (e.g., MySQL, PostgreSQL, Oracle, etc.).
• Gradle and/or Maven.
• JUnit
• Git
• Scrum
• Experience with Unix and/or macOS.
• Immediate Joiners

Nice to have:

• AWS / GCP / Azure Certification.
• Cloud development experience with Google Cloud or Azure

We are looking for a System Engineer who can manage requirements and data management in Rational Doors and Siemens Polarion. You will be part of a global development team with resources in China, Sweden and the US.

Responsibilities and tasks

1. Import of requirement specifications to DOORS module
   1. Create module structure according to written specification (e-mail, word, etc)
   2. Format: reqif, word, excel, pdf, csv
   3. Make adjustments to data required to be able to import to tool
   4. Review that the result is readable and possible to work with
2. Import of information to new or existing modules in DOORS
   1. Feedback of Compliance status from an excel compliance matrix to a module in DOORS
   2. Import requirements from one module to another based on baseline/filter…
   3. Import lists of items: Test cases, documents, etc in excel or csv to a module
   4. Provide guidance on format to information holder at client
3. Link information/attribute data from one module to others
   1. Status, test results, comment
   2. Link requirements according to information from the client in any given format
4. Export data and reports
   1. Assemble report based on data from one or several modules according to filters/baseline/written requests in any given format
   2. Export statistics from data in DOORS modules
5. Create filters in DOORS modules

Note: Polarion activities same as DOORS activities, but process, results and structure may vary

Requirements – Must list (short, and real must, no order)

• =>10 years of overall experience in Automotive Industry
• Having requirement management experience in the automotive industry.
• =>3 years of experience in Rational Doors as user
• Knowledge in Siemens Polarion, working knowledge is a plus
• Experience in offshore delivery for more than 7 years
• Able to lead a team of 3 to 5 people and manage temporary additions to team
• Having working knowledge in ASPICE and handling requirements according to ASPICE L2
• Experience in setting up offshore delivery that best fits the expectations of the customer
• Experience in setting up quality processes and ways of working
• Experience in metrics management – propose, capture and share metrics with internal/ external stakeholders
• Good Communication skills in English

Requirements - Good to have list, strictly sorted in falling priority order

• Experience in DevOps framework of delivery
• Interest in learning new languages
• Handling requirements according to ASPICE L3
• Willingness in travel, travel to Sweden may be needed (approx. 1-2 per year)

Soft skills

• Candidate must be driving and proactive person, able to work with minimum supervision and will be asked to give example situations incoming interviews.
• Good team player with attention to detail, self-disciplined, able to manage their own time and workload, proactive and motivated.
• Strong sense of responsibility and commitment, innovative thinking.