Marj Technologies
https://marjtechnologies.comAbout
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C++CSummary:
The embedded systems engineer designs, develops, tests, and maintains embedded systems. The engineer will identify and fix issues and work collaboratively with engineers, product managers, and others on various teams.
Responsibilities:
- Design and build embedded systems, including embedded system firmware
- Test and debug the systems
- Monitor and maintain the system after development
- Improve system efficiency and stability after development
- Collaborate with customers to create systems based on their needs
Requirements:
- Minimum of a bachelor's degree in computer science or engineering
- Professional experience in embedded systems
- Significant programming experience in C or C++
- Experience in trouble-shooting embedded systems and microcontroller peripherals
- Experience in working in real-time operating systems
- Experience in interfaces, IP protocols, and hardware subsystems
- Proficiency in working with common embedded systems communication protocols
- Strong interpersonal and writing skills
- Ability to work as part of a team
- Exceptional analytical and problem-solving skills
- Self-motivated and passionate about your work and embedded systems
- Always eager to learn and improve
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Science
Machine Learning (ML)Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
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Consulting with managers to determine and refine machine learning objectives.
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Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
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Transforming data science prototypes and applying appropriate ML algorithms and
tools.
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Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
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Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
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Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
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Ensuring that algorithms generate robust and accurate results.
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Running tests, performing analysis, and interpreting test results.
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Documenting machine learning processes.
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Keeping abreast of developments in machine learning.
Requirements
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Proven experience as a Machine Learning Engineer or similar role.
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Should have indepth knowledge of AWS Sagemaker and related services (like S3).
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Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
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Ability to write robust code in Python & Javascript (TensorFlow JS).
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Experience with Git and Github.
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Superb analytical and problem-solving abilities.
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Excellent troubleshooting skills.
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Good project management skills.
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Great communication and collaboration skills.
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Excellent time management and organizational abilities.
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Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Flutter
Git
Android Development
iOS App DevelopmentWe are hiring a senior Flutter developer to engineer applications that will run across Android, iOS, and the web. We are looking for someone passionate about performance, reliability, and design with the experience and credentials to back up that passion. Someone who can take ownership of applications, solve technical challenges and take pride in their solutions and code.
The ideal candidate will have experience building native applications, JavaScript knowledge, and a portfolio of applications already published either in the app store or self-hosted.
You’ll be a key member of the team tasked with contributing to a number of high-value projects within Marj Technologies.
Qualifications
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Have two or more iOS/Android apps developed with Flutter. Either deployed on the AppStore/Google Play or available on Github.
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Over one year of experience with developing Flutter applications for mobile and web.
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Experience with third-party libraries and APIs.
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Understanding of the Agile development life-cycle.
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Experience with automated testing and building.
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Experience with Git and Github.
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Proven experience in writing readable code, creating extensive documentation for
existing code and refactoring previously written code.
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Well-versed with Flutter Null Safety and Bloc architecture.
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Good communication & Problem-solving skills.
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What is ‘searce’
Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.
The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.
What we do
Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics.
- We are a category defining niche’ cloud-native technology consulting company, specializing in modernizing (improve, automate & transform) the full-scope of infra, app, process & work
- We partner with clients in their ‘beyond x’ journey to drive intelligent, impactful & futuristic business outcomes
- We are the most preferred tech partner of choice when it comes to ‘solving for better’ for the new-age tech startups & digital enterprises, leading disruption in their industries
- Our Service Offerings: We offer Advanced Cloud, Data & App Modernization, Cloud Consulting, Management & Improvement (DevOps, SysOps & Cloud Managed Services), Applied AI & Analytics services
- As one of the top 5 niche’ full scope global partners for Google Cloud & a preferred partner for AWS, we are the most preferred ‘engineering-led’ tech company of choice when it comes to solving complex business problems.
Who we are
We are passionate improvers, solvers & futurists. Driven by our engineering excellence mindset, we care most about delivering intelligent, impactful & futuristic business outcomes. Searcians are motivated by continuous improvement & solving for better in everything we do.
At the core, a Searcian is self-driven to become better, everyday. In passionate pursuit of the finest degree of excellence we drive exceptional outcomes in everything we do.
We believe that trust is the most important value. We also believe that we need to ‘earn the trust’, everytime one engages with us. And earning trust for us is far more important than anything else. We aim to be the *most trusted* tech consulting partner for our clients.
We are HAPPIER at heart. Humble, Adaptable, Positive, Passionate, Innovative, Excellence focused, & Responsible. We live the HAPPIER Culture Code.
Being HAPPIER.
How we work
- Customers. Partners. Our aim is to build relationships with customers for life. And meaningfully improve the life of every customer.
- We do what we say. We say what we do. We are uncomfortably honest and transparent. Being genuine wins trust & makes people happier.
- Mistakes are encouraged. We make mistakes. Tons of those. Everyday. And we don’t mind apologizing to our juniors, peers or superiors. We are no ego-doers.
- Underpromise. Overdeliver. We work with a deep desire to go above and beyond in everything we do. Everytime.
So, If you are passionate about tech, future & what you read above (we really are!), apply here to experience the ‘Art of Possible’
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