ML Engineer

at Rivendell Technologies Inc

ML Engineer

Rivendell Technologies Inc

Company

Home

ML Engineer

at Rivendell Technologies Inc

Posted by Michelle Inovejas

0 - 8 yrs

$0.5K - $8K / yr

Remote only

Skills

Machine Learning (ML)

ML Engineer

HackerPulse is a new and growing company. We help software engineers showcase their skills using AI powered profiles. As a Machine Learning Engineer, you will have the opportunity to contribute to the development and implementation of advanced Machine Learning (ML) and Natural Language Processing (NLP) solutions. You will play a crucial role in taking the innovative work done by our research team and turning it into practical solutions for production deployment. By applying to this job you agree to receive communication from us.

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

ML Engineer

*Make sure to fill out the link below*

To speed up the hiring process, kindly complete the following link: https://airtable.com/appcWHN5MIs3DJEj9/shriREagoEMhlfw84

Responsibilities:

Contribute to the development of software and solutions, emphasizing ML/NLP as a key component, to productize research goals and deployable services.
Collaborate closely with the frontend team and research team to integrate machine learning models into deployable services.
Utilize and develop state-of-the-art algorithms and models for NLP/ML, ensuring they align with the product and research objectives.
Perform thorough analysis to improve existing models, ensuring their efficiency and effectiveness in real-world applications.
Engage in data engineering tasks to clean, validate, and preprocess data for uniformity and accuracy, supporting the development of robust ML models.
Stay abreast of new developments in research and engineering in NLP and related fields, incorporating relevant advancements into the product development process.
Actively participate in agile development methodologies within dynamic research and engineering teams, adapting to evolving project requirements.
Collaborate effectively within cross-functional teams, fostering open communication and cooperation between research, development, and frontend teams.
Actively contribute to building an open, transparent, and collaborative engineering culture within the organization.
Demonstrate strong software engineering skills to ensure the reliability, scalability, and maintainability of deployable ML services.
Take ownership of the end-to-end deployment process, including the deployment of ML models to production environments.
Work on continuous improvement of deployment processes and contribute to building a seamless pipeline for deploying and monitoring ML models in real-world applications.

Qualifications:

Degree in Computer Science or related discipline or equivalent practical experience, with a strong emphasis on machine learning and natural language processing.
Proven experience and in-depth knowledge of ML techniques, with a focus on implementing deep-learning approaches for NLP tasks in the context of productizing research goals.
Ability to apply engineering best practices to make architectural and design decisions aligned with functionalities, user experience, performance, reliability, and scalability in the development of deployable ML services.
Substantial experience in software development using Python, Java, and/or C or C++, with a particular emphasis on integrating machine learning models into production-ready software solutions.
Demonstrated problem-solving skills, showcasing the ability to address complex situations effectively, especially in the context of improving models, data engineering, and deployment processes.
Strong interpersonal and communication skills, essential for effective collaboration within cross-functional teams consisting of research, development, and frontend teams.
Proven time management skills to handle dynamic and agile development situations, ensuring timely delivery of solutions in a fast-paced environment.
Self-motivated contributor who frequently takes initiative to enhance the codebase and share best practices, contributing to the development of an open, transparent, and collaborative engineering culture.

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Software Engineer, Memorres

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About Rivendell Technologies Inc

Founded :

2023

Type :

Services

Size :

20-100

Stage :

Raised funding

About

Rivendell New Age Gifts NZ offers a wide range of products including Crystals, Gemstone Jewellery, Greenstone, Copper Bracelets, Lamps, Incense, Oils, Tarot Cards, and Fairies. Customers can shop online for these unique items and enjoy free shipping on...

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architect, build, iterate, and manage our iOS mobile application.
translate designs and wireframes into high-quality code
ensure the best possible performance, quality, and responsiveness of the DIY App
mentor other engineers, define our technical culture and help to build a fast-growing team.

Your Super Powers 😁

experience in product development, architecture, and design for a 2 to 5 years
proficiency in swift language (Swift 5+ preferred)
experience in RxSwift is a big plus
ability to learn and look for ways to improve yourself and the processes around you.
strong knowledge of the ios framework and the ability to deal with different screen sizes
proficiency with RESTful API's to connect ios applications to back-end services
experience with GraphQL is a big plus. We use it a lot 😁
experience with storage, threading, and performance tuning
the ability to mentor and support other team members by doing code reviews and applying your experience in process and technical leadership.
experience working with agile team environments and if you are a self-starter, conscientious member of the team.

What do we have to offer?

An exciting and challenging working environment with passionate and enthusiastic people that build an entrepreneurial mindset
Be part of a start-up, work directly with founders, lead your area of expertise, build kickass products and be a part of this exciting growth journey of changing the world for kids beyond the classroom

Service Delivery Manager

at Archon Consulting Systems

1 recruiter

Posted by lakshmy k

Bengaluru (Bangalore)

7 - 8 yrs

₹8L - ₹10L / yr

Service delivery

ITIL

IT infrastructure

PMP

1. Must be able to build and lead a team and deliver results. 2. Must have good knowledge of technical terminology and be able to read contractual agreements. 3. Must have excellent communication skills- should be a good listener. 4. Must be able to deal with stress. 5. Must have good writing skills. 6. Must be diplomatic and have good problem solving skills. 7. Must have strong interpersonal skills to communicate problems/issues effectively and concisely to different audience to achieve the solution. 8. Must be customer focused. 9. Must have atleast L1/L2 knowledge on IT Infrastructure products- server, storage, networking and basics of laptop, desktop and printers and should have knowledge on atleast one OS, Microsoft or Linux. 10. Must have about 8-10 years of experience in IT services industry.

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