Title: application modernization specialist job type: full-time location: remote company description: mechanized ai is at the forefront of ai innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. we work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. our team thrives on solving complex challenges and delivering innovative solutions. as an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. job summary: we are seeking an experienced application modernization specialist to join our growing team. the ideal candidate will have a background in software architecture and extensive experience leading modernization projects. while expertise in migrating from cobol to newer programming languages is highly desirable, we are also open to candidates with a track record of successfully transforming other legacy systems into modern technologies. key responsibilities: - lead and execute software modernization projects, ensuring the seamless transition from legacy systems to modern, scalable architectures - analyze existing legacy codebases to understand business logic, dependencies, and potential risks during migration - design and implement solutions that maintain the integrity and functionality of legacy systems while improving performance, scalability, and maintainability - engage with clients throughout the project lifec...
Title: application modernization specialist job type: full-time location: remote company description: mechanized ai is at the forefront of ai innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. we work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. our team thrives on solving complex challenges and delivering innovative solutions. as an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. job summary: we are seeking an experienced application modernization specialist to join our growing team. the ideal candidate will have a background in software architecture and extensive experience leading modernization projects. while expertise in migrating from cobol to newer programming languages is highly desirable, we are also open to candidates with a track record of successfully transforming other legacy systems into modern technologies. key responsibilities: - lead and execute software modernization projects, ensuring the seamless transition from legacy systems to modern, scalable architectures - analyze existing legacy codebases to understand business logic, dependencies, and potential risks during migration - design and implement solutions that maintain the integrity and functionality of legacy systems while improving performance, scalability, and maintainability - engage with clients throughout the project lifec...
Mechanized ai is at the forefront of ai innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. we work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. our team thrives on solving complex challenges and delivering innovative solutions. as an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. job summary: we are seeking an experienced backend engineer to join our growing team and help us develop ai products in different cloud environments (aws, azure, gcp). the ideal candidate will have a background in cloud with python expertise and a proven track record of building and maintaining large-scale backend systems. they will have a passion for ai and be eager to work in a startup environment where agility and innovation are highly valued. key responsibilities: - design and develop backend systems: architect, build, and maintain scalable and reliable backend services, ensuring high performance and responsiveness for various applications. - api development: create and manage restful apis, enabling seamless communication between frontend applications and backend systems. - collaboration: work closely with frontend engineers, ml engineers, data engineers, and other team members to integrate and optimize backend solutions that meet project requirements. - code quality and review: write clean, maintainable code, and participate i...
Job description: machine learning engineer location: buenos aires, argentina (remote work options available) company: mechanized ai about us: mechanized ai is at the forefront of ai innovation, leveraging advanced technologies to solve complex real-world problems. we are dedicated to creating cutting-edge solutions that drive modernization and efficiency across industries. as a growing team of passionate professionals, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. key responsibilities: - evaluate ml/dl/llm models - detect and handle model decay & data drift experience requirements: - 4+ years in machine learning/deep learning/generative ai (experience in enterprise companies or startups; teaching or academic experience like masters/phd does not count) - 1+ year experience with tensorflow, pytorch, or keras - 1+ year experience in deploying models to production and managing/monitoring them - 1+ year with cloud platforms (aws/gcp/azure) - 1+ year in mlops - 1+ year client-facing experience in ai projects - 6+ months experience with large language models (llms) and generative ai skills & expertise: - strong focus on at least one of the following ai specialities: - mlops - classic ml (tabular, regression) - classic dl (computer vision, nlp, tabular, regression) - generative ai - deep reinforcement learning (drl) - full-stack ml - familiarity with prompt engineering: approaches and best practices - experience with the following tools and techniques is highly desired: - pyspar...
Title: backend engineer job type: full-time location: remote company description: mechanized ai is at the forefront of ai innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. we work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. our team thrives on solving complex challenges and delivering innovative solutions. as an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. job summary: we are seeking an experienced backend engineer to join our growing team and help us develop ai products in different cloud environments (aws, azure, gcp). the ideal candidate will have a background in cloud with python expertise and a proven track record of building and maintaining large-scale backend systems. they will have a passion for ai and be eager to work in a startup environment where agility and innovation are highly valued. key responsibilities: - design and develop backend systems: architect, build, and maintain scalable and reliable backend services, ensuring high performance and responsiveness for various applications. - api development: create and manage restful apis, enabling seamless communication between frontend applications and backend systems. - collaboration: work closely with frontend engineers, ml engineers, data engineers, and other team members to integrate and optimize backend solutions that meet proje...
Job description: machine learning engineer location: buenos aires, argentina (remote work options available) company: mechanized ai about us: mechanized ai is at the forefront of ai innovation, leveraging advanced technologies to solve complex real-world problems. we are dedicated to creating cutting-edge solutions that drive modernization and efficiency across industries. as a growing team of passionate professionals, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. key responsibilities: - evaluate ml/dl/llm models - detect and handle model decay & data drift experience requirements: - 4+ years in machine learning/deep learning/generative ai (experience in enterprise companies or startups; teaching or academic experience like masters/phd does not count) - 1+ year experience with tensorflow, pytorch, or keras - 1+ year experience in deploying models to production and managing/monitoring them - 1+ year with cloud platforms (aws/gcp/azure) - 1+ year in mlops - 1+ year client-facing experience in ai projects - 6+ months experience with large language models (llms) and generative ai skills & expertise: - strong focus on at least one of the following ai specialities: - mlops - classic ml (tabular, regression) - classic dl (computer vision, nlp, tabular, regression) - generative ai - deep reinforcement learning (drl) - full-stack ml - familiarity with prompt engineering: approaches and best practices - experience with the following tools and techniques is highly desired: - pyspark - agent dev...
Job description: machine learning engineer location: buenos aires, argentina (remote work options available) company: mechanized ai about us: mechanized ai is at the forefront of ai innovation, leveraging advanced technologies to solve complex real-world problems. we are dedicated to creating cutting-edge solutions that drive modernization and efficiency across industries. as a growing team of passionate professionals, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. key responsibilities: - evaluate ml/dl/llm models - detect and handle model decay & data drift experience requirements: - 4+ years in machine learning/deep learning/generative ai (experience in enterprise companies or startups; teaching or academic experience like masters/phd does not count) - 1+ year experience with tensorflow, pytorch, or keras - 1+ year experience in deploying models to production and managing/monitoring them - 1+ year with cloud platforms (aws/gcp/azure) - 1+ year in mlops - 1+ year client-facing experience in ai projects - 6+ months experience with large language models (llms) and generative ai skills & expertise: - strong focus on at least one of the following ai specialities: - mlops - classic ml (tabular, regression) - classic dl (computer vision, nlp, tabular, regression) - generative ai - deep reinforcement learning (drl) - full-stack ml - familiarity with prompt engineering: approaches and best practices - experience with the following tools and techniques is highly desired: - pyspark - agent dev...
Job description: machine learning engineer location: buenos aires, argentina (remote work options available) company: mechanized ai about us: mechanized ai is at the forefront of ai innovation, leveraging advanced technologies to solve complex real-world problems. we are dedicated to creating cutting-edge solutions that drive modernization and efficiency across industries. as a growing team of passionate professionals, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. key responsibilities: - evaluate ml/dl/llm models - detect and handle model decay & data drift experience requirements: - 4+ years in machine learning/deep learning/generative ai (experience in enterprise companies or startups; teaching or academic experience like masters/phd does not count) - 1+ year experience with tensor flow, pytorch, or keras - 1+ year experience in deploying models to production and managing/monitoring them - 1+ year with cloud platforms (aws/gcp/azure) - 1+ year in mlops - 1+ year client-facing experience in ai projects - 6+ months experience with large language models (llms) and generative ai skills & expertise: - strong focus on at least one of the following ai specialities: - mlops - classic ml (tabular, regression) - classic dl (computer vision, nlp, tabular, regression) - generative ai - deep reinforcement learning (drl) - full-stack ml - familiarity with prompt engineering: approaches and best practices - experience with the following tools and techniques is highly desired: - pyspark ...
Title: application modernization specialist job type: full-time location: remote company description mechanized ai is at the forefront of ai innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. we work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. our team thrives on solving complex challenges and delivering innovative solutions. as an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. job summary we are seeking an experienced application modernization specialist to join our growing team. the ideal candidate will have a background in software architecture and extensive experience leading modernization projects. while expertise in migrating from cobol to newer programming languages is highly desirable, we are also open to candidates with a track record of successfully transforming other legacy systems into modern technologies. key responsibilities lead and execute software modernization projects, ensuring the seamless transition from legacy systems to modern, scalable architectures analyze existing legacy codebases to understand business logic, dependencies, and potential risks during migration design and implement solutions that maintain the integrity and functionality of legacy systems while improving performance, scalability, and maintainability engage with clients throughout the project lifec...
Title: application modernization specialist job type: full-time location: remote company description: mechanized ai is at the forefront of ai innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. we work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today's fast-paced, digital landscape. our team thrives on solving complex challenges and delivering innovative solutions. as an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. job summary: we are seeking an experienced application modernization specialist to join our growing team. the ideal candidate will have a background in software architecture and extensive experience leading modernization projects. while expertise in migrating from cobol to newer programming languages is highly desirable, we are also open to candidates with a track record of successfully transforming other legacy systems into modern technologies. key responsibilities: lead and execute software modernization projects, ensuring the seamless transition from legacy systems to modern, scalable architectures analyze existing legacy codebases to understand business logic, dependencies, and potential risks during migration design and implement solutions that maintain the integrity and functionality of legacy systems while improving performance, scalability, and maintainability engage with clients throughout the project lifecycle to gat...
Title: genai engineer job type: full-time location: remote company description mechanized ai is at the forefront of ai innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. we work with enterprise clients to future-proof their applications, helping them meet the demands of today’s fast-paced, digital landscape. our team thrives on solving complex challenges and delivering ai-driven solutions. we foster a culture of creativity, collaboration, and continuous learning. job summary we are seeking a highly skilled genai engineer to play a key role in advancing our ai-driven platform and client solutions. the ideal candidate has 4+ years of hands-on ml experience beyond academia, thrives in fast-paced environments, and enjoys solving complex technical challenges. a strong foundation in cloud-based ml solutions, ai model deployment, and optimization techniques is essential. those with a passion for staying at the forefront of ai advancements and delivering high-impact solutions will excel in this role. key responsibilities contribute to building and enhancing our mechanized ai platform and ai-enabled products including mai modernize serve as ml sme on client projects as needed design ml systems research and implement appropriate ml algorithms and tools select appropriate datasets and data representation methods run ml tests and experiments perform statistical analysis and fine-tuning using test results train and retrain systems when necessary extend existing ml libraries and framewo...
Title backend engineer job type full-time location: remote company description mechanized ai is at the forefront of ai innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. we work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. our team thrives on solving complex challenges and delivering innovative solutions. as an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. job summary we are seeking an experienced backend engineer to join our growing team and help us develop ai products in different cloud environments (aws, azure, gcp). the ideal candidate will have a background in cloud with python expertise and a proven track record of building and maintaining large-scale backend systems. they will have a passion for ai and be eager to work in a startup environment where agility and innovation are highly valued. key responsibilities design and develop backend systems: architect, build, and maintain scalable and reliable backend services, ensuring high performance and responsiveness for various applications api development: create and manage restful apis, enabling seamless communication between frontend applications and backend systems collaboration: work closely with frontend engineers, ml engineers, data engineers, and other team members to integrate and optimize backend solutions...
Join to apply for the genai engineer role at mechanized ai 4 weeks ago be among the first 25 applicants company description mechanized ai is at the forefront of ai innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. we work with enterprise clients to future-proof their applications, helping them meet the demands of today’s fast-paced, digital landscape. our team thrives on solving complex challenges and delivering ai-driven solutions. we foster a culture of creativity, collaboration, and continuous learning. title: genai engineer job type: full-time location: remote job summary we are seeking a highly skilled genai engineer to play a key role in advancing our ai-driven platform and client solutions. the ideal candidate has 4+ years of hands-on ml experience beyond academia, thrives in fast-paced environments, and enjoys solving complex technical challenges. a strong foundation in cloud-based ml solutions, ai model deployment, and optimization techniques is essential. those with a passion for staying at the forefront of ai advancements and delivering high-impact solutions will excel in this role. key responsibilities contribute to building and enhancing our mechanized ai platform and ai-enabled products including mai modernize serve as ml sme on client projects as needed design ml systems research and implement appropriate ml algorithms and tools select appropriate datasets and data representation methods run ml tests and experiments perform statistical analysis and...
Mechanized ai is at the forefront of ai innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. we work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. our team thrives on solving complex challenges and delivering innovative solutions. as an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. job summary: we are seeking an experienced backend engineer to join our growing team and help us develop ai products in different cloud environments (aws, azure, gcp). the ideal candidate will have a background in cloud with python expertise and a proven track record of building and maintaining large-scale backend systems. they will have a passion for ai and be eager to work in a startup environment where agility and innovation are highly valued. key responsibilities: design and develop backend systems: architect, build, and maintain scalable and reliable backend services, ensuring high performance and responsiveness for various applications. api development: create and manage restful apis, enabling seamless communication between frontend applications and backend systems. collaboration: work closely with frontend engineers, ml engineers, data engineers, and other team members to integrate and optimize backend solutions that meet project requirements. code quality and review: write clean, maintainable code, and participate in code reviews to uph...
Title: cloud engineer job type: full-time location: remote company description: mechanized ai is at the forefront of ai innovation, leveraging cutting-edge technology to transform legacy systems into modern, efficient, and scalable solutions. we work with enterprise clients to breathe life into their existing software, ensuring that they can meet the demands of today’s fast-paced, digital landscape. our team thrives on solving complex challenges and delivering innovative solutions. as an organization, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. job summary: we are seeking an experienced cloud engineer to join our growing team and play a pivotal role in shaping our cloud infrastructure. this position requires a strong background in cloud architecture, automation, and security with an emphasis on scalability, performance, and reliability. the ideal candidate will be skilled at working with cloud platforms, implementing infrastructure as code (iac), and python backend development. this team member will work closely with our engineering team to optimize cloud operations, enhance system resilience, and integrate best-in-class devsecops practices. key responsibilities: design, implement, and manage ci/cd pipelines with a focus on security at every stage implement and manage infrastructure as code (iac) using tools such as pulumi, terraform or cloudformation automate security testing and integrate security tools into the development workflow monitor, detect, and respond to security threats and vulnerabilities in ...
Job description: machine learning engineer location: buenos aires, argentina (remote work options available) company: mechanized ai about us: mechanized ai is at the forefront of ai innovation, leveraging advanced technologies to solve complex real-world problems. we are dedicated to creating cutting-edge solutions that drive modernization and efficiency across industries. as a growing team of passionate professionals, we are committed to fostering an environment that encourages creativity, collaboration, and continuous learning. key responsibilities: evaluate ml/dl/llm models detect and handle model decay & data drift experience requirements: 4+ years in machine learning/deep learning/generative ai (experience in enterprise companies or startups; teaching or academic experience like masters/phd does not count) 1+ year experience with tensorflow, pytorch, or keras 1+ year experience in deploying models to production and managing/monitoring them 1+ year with cloud platforms (aws/gcp/azure) 1+ year in mlops 1+ year client-facing experience in ai projects 6+ months experience with large language models (llms) and generative ai skills & expertise: strong focus on at least one of the following ai specialities: mlops classic ml (tabular, regression) classic dl (computer vision, nlp, tabular, regression) generative ai deep reinforcement learning (drl) full-stack ml familiarity with prompt engineering: approaches and best practices experience with the following tools and techniques is highly desired: pyspark agent development fine-tuning llms retrieval-augmented generation (rag) op...
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