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Managing a team of engineers and developers; ensuring quality is met at every process of the development and deployment phases.
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Recruitment and building a team of a good mix of talent would be necessary.
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Managing AWS servers to track/monitor/optimize resource utilization and upgrade servers when necessary.
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Leading the engineering team and federated suites.
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Helping define Technical Roadmap and own the entire product delivery end to end.
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Working very closely with various business stakeholders to drive the execution of multiple business plans and technologies for the team.
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Improving, optimizing and identifying opportunities for efficient software development processes.
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Hiring, Developing and Retaining a strong team of engineers.
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7-9 years of experience with Java development, Spring Boot. Minimum 5+ years of managing high performance development team(s).
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Strong knowledge of REST and micro services based design.
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Experience across the product development SDLC with solving customer problem approaches.
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Prior product engineering leadership in Identity and Access Management solutions is a big plus.
BRIEF DESCRIPTION:
At-least 1 year of Python, Spark, SQL, data engineering experience
Primary Skillset: PySpark, Scala/Python/Spark, Azure Synapse, S3, RedShift/Snowflake
Relevant Experience: Legacy ETL job Migration to AWS Glue / Python & Spark combination
ROLE SCOPE:
Reverse engineer the existing/legacy ETL jobs
Create the workflow diagrams and review the logic diagrams with Tech Leads
Write equivalent logic in Python & Spark
Unit test the Glue jobs and certify the data loads before passing to system testing
Follow the best practices, enable appropriate audit & control mechanism
Analytically skillful, identify the root causes quickly and efficiently debug issues
Take ownership of the deliverables and support the deployments
REQUIREMENTS:
Create data pipelines for data integration into Cloud stacks eg. Azure Synapse
Code data processing jobs in Azure Synapse Analytics, Python, and Spark
Experience in dealing with structured, semi-structured, and unstructured data in batch and real-time environments.
Should be able to process .json, .parquet and .avro files
PREFERRED BACKGROUND:
Tier1/2 candidates from IIT/NIT/IIITs
However, relevant experience, learning attitude takes precedence
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
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.
- 4+ years of industrial experience in computer vision and/or deep learning
- 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!
Must have Skilled and Should Currently have Hand-on experience:
- Programming Language: C, C++
- Operating System: Linux
- Debugging Tools: Valgrind / GDB - required
- Version Control: (Stash- nice to have) & (Git – Required)
- Build and Deployment: Bamboo – nice to have
- Operating System: Linux
- Experience: 5 to 8 years (Min. 4 years)
Email protocols: IMAP, pop, SMTP, etc
You can discuss the below job profile with the candidate before filtering them to the first round.
Role:
- Would be working on Development and Production Support of Email Mx Product which uses email protocols (POP, IMAP, and SMTP) developed on C, C++ technology on Linux Platform.
- Technologies they get to learn: C, C++, GDB, Valgrind, python (python to a certain extent).
- Protocols they get to learn: POP, IMAP, and SMTP and also any and every communication happening in Email Platform
- Source Control: Git, Stash
- Build and Deployment: Bamboo
- Operating System: Linux
- Debugging a Multicomponent – Multi-Threaded – Multi-Server Environment of a Live Product Deployed to Tier – 1 Customer.
- Opportunity for Improving CPU of exiting product.
- Opportunity for Memory optimization along with some good
Responsibilities
Ability to work on a cross-functional team within a very agile team, delivering on time and with high quality
Adjusts and defines new processes as they arise due to known and unknown customer/engineering requirements as it relates to frontend web development
Provides feedback on frontend architecture, code organization and CI/CD infrastructure for the team
Staying up to date with the best practices and future frontend development
Provides frontend leadership expertise and mentoring to other developers on not only the team, but the engineering organization as a whole
Takes pride in delivering ground breaking UI to web applications
Working closely with UX designers to turn their ideas into reality as it relates to creating visualizations for next generation cybersecurity
Qualifications
Proficient in developing large REACT Web Applications
Experience with Django applications
Proficient with TypeScript
Experience with Postgres or other relational database(s)
Experience developing REST APIs with authentication and scaling
Familiarity with some ORM (Object Relational Mapper) libraries
Cloud computing architectures (AWS, Azure, Google Cloud)
Experience with Docker a plus
Mandatory experience: 8 + years
Responsibilities
Design and build applications for the iOS platform
Ensure the performance, quality, and responsiveness of applications
Collaborate with a team to define, design, and ship new features
Identify and correct bottlenecks and fix bugs
Help maintain code quality, organization, and automatization
(Add other responsibilities here that are relevant)
Skills
Proficient with Objective-C or Swift (depending on project requirements), and Cocoa Touch
Experience with iOS frameworks such as Core Data, Core Animation, etc.
Experience with offline storage, threading, and performance tuning
Familiarity with RESTful APIs to connect iOS applications to back-end services
Knowledge of other web technologies and UI/UX standards
Understanding of Apple’s design principles and interface guidelines
Knowledge of low-level C-based libraries is preferred
Experience with performance and memory tuning with tools (such as Instruments and Shark, depending on project needs)
Familiarity with cloud message APIs and push notifications
Knack for benchmarking and optimization
Proficient understanding of code versioning tools (such as Git, Mercurial or SVN)
Familiarity with continuous integration








