Search  9 jobs from 8 companies hiring remote ml engineers in argentina.

Machine Learning Engineer

Truelogic Software, an Inc. 5000 company,  is an innovative technology services company that specializes in custom web and mobile software development firm that leverages global facilities, senior engineers, more than 19 years of experience and methodologies to help you reduce operating costs and shorten timelines.Truelogic has developed more than 1000 projects for well-known multinationals such as McAfee, Sony, Nissan, The Television Academy (The Emmys), The New York Times, Manpower, Panasonic, Honda, and Verizon as well start-ups and medium-sized businesses alike. We are proud to have a wide range of clients of all sizes, reflecting our flexibility and versatility, always finding the right balance that each particular client seeks.Truelogic offers a cost-effective blended model making use of its Development centers in New York and Latin America.We only work with software engineers, with at least 5 years of experience. Our proprietary database of 40,000 active candidates allows us to create a team composed by only the Top 1% Software Engineers.Truelogic provides nearshore Software Engineering Services to companies in the United States. Our Services:- Nearshore Software Development- Staff Augmentation Services & Dedicated Agile Teams- Mobile Product Development- Software Maintenance- Data Engineering- QA Automation & Testing- Project Management- DevOps

Truelogic Software

• Work in a forward-thinking and growth-oriented environment
• National mortgage lender with over 4 million lifetime customers
• Work closely with Data Scientists and Engineers
• Ensure smooth model deployment and monitor model performance
• Automate and streamline machine learning workflows
• Troubleshoot and resolve operational issues related to machine learning models


Sr. Machine Learning Ops Developer - PennyMac (ID: 1603)

Kraken, the trusted and secure digital asset exchange, is on a mission to accelerate the adoption of cryptocurrency so that you and the rest of the world can achieve financial freedom and inclusion.

Our 3,400+ Krakenites are a world-class team ranging from the crypto-curious to industry experts, united by our desire to discover and unlock the potential of crypto and blockchain technology. As a fully remote company, we already have Krakenites in 70+ countries (speaking 50+ languages). We're one of the most diverse organizations on the planet and this remains key to our values. 

We continue to lead the industry with new product advancements like Kraken NFT, on- and off-chain staking and instant bitcoin transfers via the Lightning Network.

Become a Krakenite and enable the future crypto economy!

Kraken Digital Asset Exchange

• Design, implement and deploy Machine Learning solutions to solve complex problems and deliver real business value
• Collaborate with data scientists, software engineers, and business partners
• Develop production-grade ML models
• Monitor and improve model performance
• Stay up-to-date with the latest in ML and AI
• Mentor junior engineers

Senior AI/ML Engineer

Upwork is the world’s work marketplace. We serve everyone from one-person startups to over 30% of the Fortune 100 with a powerful, trust-driven platform that enables companies and talent to work together in new ways that unlock their potential. Our talent community earned over $3.3 billion on Upwork in 2021 across more than 10,000 skills in categories including website & app development, creative & design, customer support, finance & accounting, consulting, and operations. 

Upwork

• Responsible for creating and optimizing the overall solution for Machine Learning (ML) use cases and applications within the ML platform
• Collaborating with colleagues to develop new Analytics, Artificial Intelligence (AI), and ML solutions
• Explaining complicated concepts clearly and concisely to non-technical audiences
• Acting as technical liaison and actively engaging with business stakeholders and development teams
• Leading software engineers to understand platform vision and help them solve high-reaching issues
• Driving proof of concepts and discoveries of new tools and technologies
• Deploying software using CI/CD tools like Jenkins, AWS CodeDeploy, and BitBucket

Contract: Lead Machine Learning Ops Engineer

• Architect and design Machine Learning and Gen AI frameworks
• Guide collaboration to identify AI/ML opportunities
• Develop production-grade ML models for personalized customer experience, fraud detection, etc.
• Monitor and improve model performance
• Stay updated on latest trends in ML and AI
• Mentor and lead a team of engineers

Staff AI/ML Engineer

Factored (backed by Andrew Ng's AI Fund and deeplearning.ai) helps leading tech companies select, upskill, and build world-class data science, machine learning and AI engineering teams much faster and more cost effectively. Our engineers have been personally vetted, educated, and mentored by some of the most talented and recognized AI educators and engineers from Silicon Valley, Stanford University and deeplearning.ai.

Factored 

• Design and implement advanced multilingual NLP models and algorithms
• Collect, preprocess, and curate multilingual text and language data
• Develop and maintain efficient pipelines for data preprocessing, model training, evaluation, and deployment
• Optimize and fine-tune machine learning models
• Stay up-to-date with the latest advancements in multilingual NLP
• Participate in conferences, workshops, and continuous learning initiatives

Machine Learning Engineer [Multilingual NLP]

Clarifai is a deep learning AI platform for modeling unstructured image, video, text, and audio data.  We help commercial and public sector organizations transform their unstructured data into structured data significantly faster and more accurately than humans can do on their own. Our technology is used across many industries including retail, media and entertainment, manufacturing, defense, and more. Our technology helps companies build turnkey AI solutions for brand safety and moderation; intelligence, surveillance and reconnaissance; digital asset management; product recommendations and organization and visual inspection for equipment maintenance. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States and in Tallinn, Estonia. Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring and retaining a diverse workforce.

Clarifai

About the Company
Clarifai is a leading, full-lifecycle deep learning AI platform for computer vision, natural language processing, LLM's and audio recognition. We help organizations transform unstructured images, video, text, and audio data into structured data at a significantly faster and more accurate rate than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States, Canada, Argentina, India and Estonia. We have raised $100M in funding to date, with $60M coming from our most recent Series C, and are backed by industry leaders like Menlo Ventures, Union Square Ventures, Lux Capital, New Enterprise Associates, LDV Capital, Corazon Capital, Google Ventures, NVIDIA, Qualcomm and Osage. Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.

Your Impact
You will be essential in contributing to our core ML infrastructure, helping researchers and users to train and serve state of the art models to our customers!

The Opportunity
• Work with research teams to design and build our training infrastructure
• Prototype new training frameworks and production-ize solutions at scale
• Design, optimize and test model integration infrastructure
• Work with data team to implement ETL/ELT pipeline

Senior Software Engineer, Machine Learning Infrastructure

Since 2012, Trail of Bits has helped secure some of the world’s most targeted organizations and products. We combine high-­end security research with a real­ world attacker mentality to reduce risk and fortify code.

Trail of Bits

• Our assurance team is responsible for reviewing high-assurance software in the tech, finance, and defense industries.
• Our evaluations allow our clients to make informed decisions about risk to their systems, including how to minimize or mitigate safety and security issues.
• In addition to dedicated teams focusing on application security, cryptography, blockchain security, and emerging platforms security, Trail of Bits has a machine learning (ML) practice that creates tools and techniques for the exploration of new attack surfaces and failures that can lead to the degradation of model performance, exploitation of ML system assets, and manipulation or lack of robustness of resulting ML outputs.
• Trail of Bits has also created and maintains more than 200 free and open-source tools (available in our GitHub repositories) and offers research and engineering services for the public and private sectors.
• As a Senior Security Engineer, Machine Learning you will be a part of a new machine learning assurance team that aims to identify and taxonomize classes of failure modes which directly impact ML model performance, as well as novel hazards and threats that can compromise the ML operations pipeline for our clients.
• You will provide value to our clients through your expertise and experience within the ML development lifecycle as well performing risk assessments and threat modeling.

Senior Assurance Engineer, Machine Learning

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results. 

Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices 

We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.

MUTT DATA

• Would you like to be part of a Data Products and Machine Learning development startup? Join us! 🚀Mutt Data is a startup dedicated to building innovative systems using Big Data and Machine Learning technologies.
• We use technologies like Spark, Airflow, Kubernetes, MLFlow, Kafka, Databricks, Astronomer, Kinesis, PostgreSQL, DBT, Airbyte, Amazon Web Services, and Google Cloud Platform, among many others.
• We are looking for a Machine Learning Engineer that will help us productionize and deliver ML projects. If you are a person who likes building systems, proposing solutions, learning new tools, and designing architectures, we would love to get to know you! 🐶
• We operate with technology startups and large companies in Argentina, the United States, Brazil, Colombia, Spain, and Uruguay. We have an extremely technical team and we have extensive experience building and maintaining large-scale production data systems.
• We are AWS and Astronomer Partners 👍
• We would like to keep going in this direction and we would love to have you join us. If you find that you like to learn new tools, teach your colleagues, reduce technical debt, contribute to complex solutions, listen and to be listened to, take control of technical problems, and work in a horizontal structure, this can be a good place for you.
• These are some of the problems we solve 💪➤ Use reinforcement learning to optimize the advertising investment
➤ Build advertising auction systems in real-time
➤ Predict electricity consumption demand on a large scale
➤ Anomaly detection in activity levels of telecommunication services with millions of users. Implement stream processing systems to manage TBs of data
➤ Build flexible and scalable cloud architectures that optimize costs and allow services to grow exponentially
➤ Implement Deep Learning algorithms for video feeds data sources, to analyze and count people in customer care centers
• Responsibilities 🧣➤ Lead the productivization of ML models following MLops best practices (orchestration, testing, monitoring, serving, etc) for our customers
Aid data scientists develop useful ML POCs for either internal or client needs
➤ Manage the Machine Learning model's lifecycle and optimize such models when needed for better performance, latency, memory, and throughput
➤ Understand how to translate business and mathematical/statistical requirements to software implementations making wise trade-offs of time, quality, and client-specific needs
➤ Research new ML Engineering technologies (DS, DE, DevOps) and techniques that will enable us to improve our toolset, best practices, and derived business value
➤ Bridge the gap between DS and DE roles by handling foundational concepts of application development, infrastructure management, data engineering, and data governance
➤ Participate in defining the roadmap, timelines, and estimates for new projects
➤ Document and spread the internal knowledge of new best-industry practices in AI/ML
➤ Collaborate with Interview instances for Tech People (Exam Review and Technical Interview)

Founded in 2017, Redesign Science is a platform biotech working at the interface of physics-based molecular simulation and deep learning to create generative AI for drug discovery. We deploy our platform technology to develop first-in-class Protein Interaction Modulators against validated targets known to drive progression of multiple oncogenic and inflammatory diseases.

Redesign Science

• Design, implement and integrate systems and pipelines for developing, training, and testing ML and MD methods at scale 
• Productionize and scale machine learning models, physical simulations, and combined workflows 
• Integrate ML systems with data pipelines for seamless data flow and processing across our entire infrastructure 
• Work with the team to identify areas for improvement and optimization within our existing ML and MD systems 
• Help shape the future growth and direction of our methodology and engineering teams 
• Excellent software engineering skills and familiarity with development best practices 
• Excellent knowledge of the Python programming language and relevant libraries 
• Experience with modern ML systems, models and frameworks 
• Experience with data infrastructure and engineering at scale 
• Experience with workflow orchestration, MLOps, and machine learning pipelines 
• Experience with continuous integration and continuous deployment tools and practices 
• Excellent communication skills, able to present complex concepts effectively

Search  9 jobs from 8 companies hiring remote ml engineers in argentina.. Staff AI/ML Engineer. Machine Learning Engineer [Multilingual NLP]. Senior Software Engineer, Machine Learning Infrastructure. Senior Assurance Engineer, Machine Learning. Machine Learning Engineer. Machine Learning Engineer

Remote Machine Learning Engineer Jobs in Argentina

Search 9 jobs from 8 companies hiring remote ml engineers in argentina.

Sr. Machine Learning Ops Developer - PennyMac (ID: 1603)

Truelogic Software

Senior AI/ML Engineer

Kraken Digital Asset Exchange

Contract: Lead Machine Learning Ops Engineer

Upwork

Staff AI/ML Engineer

Kraken Digital Asset Exchange

Machine Learning Engineer [Multilingual NLP]

Factored

Senior Software Engineer, Machine Learning Infrastructure

Clarifai

Senior Assurance Engineer, Machine Learning

Trail of Bits

Machine Learning Engineer

MUTT DATA

Machine Learning Engineer

Redesign Science