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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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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Experience in networking, including linux, software defined networking, network virtualization, open protocols, application acceleration and load balancing, DNS, virtual private networks
Knowledge of several middleware such as MySQL, Apache etc
Responsible for managing network storage
Disaster recovery and incident response planning
Configuring/monitoring firewalls, routers, switches and other network devices

Responsibilities and Duties

Support the globally distributed cloud development and teams by mainitaning the cloud infrastructure labs hosted in a hybrid cloud environment
Contribute towards optimization of preformance and acost of running the labs

Job Summary

Good experience and exposure of cloud native architecture, development and deployment on public clouds AWS, Google Cloud etc
Responsible for Linux server installation, maintain, monitoring, data backup and recovery, securtiy and administration
Understanding of clusters, distributed architecture, container environment
Experience in networking, including linux, software defined networking, network virtualization, open protocols, application acceleration and load balancing, DNS, virtual private networks
Knowledge of several middleware such as MySQL, Apache etc
Responsible for managing network storage
Disaster recovery and incident response planning
Configuring/monitoring firewalls, routers, switches and other network devices

Responsibilities and Duties

Support the globally distributed cloud development and teams by mainitaning the cloud infrastructure labs hosted in a hybrid cloud environment
Contribute towards optimization of preformance and acost of running the labs

Senior Backend Engineer

at Artivatic

1 video

3 recruiters

Posted by Layak Singh

Bengaluru (Bangalore)

4 - 10 yrs

₹8L - ₹20L / yr

Python

Java

Machine Learning (ML)

Data Science

Scala

+3 more

About Artivatic : Artivatic is a technology startup that uses AI/ML/Deep learning to build intelligent products & solutions for finance, healthcare & insurance businesses. It is based out of Bangalore with 25+ team focus on technology. The artivatic building is cutting edge solutions to enable 750 Millions plus people to get insurance, financial access, and health benefits with alternative data sources to increase their productivity, efficiency, automation power, and profitability, hence improving their way of doing business more intelligently & seamlessly. Skills : - Building server-side logic that powers our APIs, in effect deploying machine learning models in production system that can scale to billions of API calls - Scaling and performance tuning of database to handle billions of API calls and thousands of concurrent requests - Collaborate with data science team to build effective solutions for data collection, pre-processing and integrating machine learning into the workflow - Collaborate, provide technical guidance, and engage in design and code review for other team members. - Excellent Scala, cassandara, architect, api, software, python, Java programming and software design skills, including debugging, performance analysis and test design - Proficiency with at least one Scala, GoLang, Python micro frameworks like Flask, Tornado, Play, Spring etc. with experience in building REST APIs - Experience or understanding in building web crawlers, data fetching bots etc. - Experience with design and optimisation of Neo4j, cassandra, NoSQL databases, PostGreSQL, Redis, Elastic Search - Familiarity with one of the cloud service providers, AWS or Google Compute Engine - Computer Science degree with 4+ years of backend programming experience Experience : 5 Years+ Location : Sony World Signal, Koramangala 4th Block, Bangalore Job Perks Insurance, Travel Benefits and others

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