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 aiinnovation, leveraging advanced technologies to solve complexreal-world problems. we are dedicated to creating cutting-edgesolutions that drive modernization and efficiency acrossindustries. as a growing team of passionate professionals, we arecommitted 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 machinelearning/deep learning/generative ai (experience in enterprisecompanies or startups; teaching or academic experience likemasters/phd does not count) - 1 - year experience with tensorflow,pytorch, or keras - 1 - year experience in deploying models toproduction and managing/monitoring them - 1 - year with cloudplatforms (aws/gcp/azure) - 1 - year in mlops - 1 - yearclient-facing experience in ai projects - 6 - months experience withlarge language models (llms) and generative ai skills &expertise;: - strong focus on at least one of the following aispecialities: - mlops - classic ml (tabular, regression) - classicdl (computer vision, nlp, tabular, regression) - generative ai -deep reinforcement learning (drl) - full-stack ml - familiaritywith prompt engineering: approaches and best practices - experiencewith the following tools and techniques is highly desired: -pyspark - agent development - fine-tuning llms -retrieval-...
Title: ai engineering manager job type: full-timelocation: remote company description: mechanized ai is at theforefront of ai innovation, leveraging cutting-edge technology totransform legacy systems into modern, efficient, and scalablesolutions. we work with enterprise clients to breathe life intotheir existing software, ensuring that they can meet the demands oftoday’s fast-paced, digital landscape. our team thrives on solvingcomplex challenges and delivering innovative solutions. as anorganization, we are committed to fostering an environment thatencourages creativity, collaboration, and continuous learning. jobsummary: we are seeking an experienced ai engineering manager tolead our ai/ml data engineering team and collaborate with cloud,frontend, backend, and devsecops teams. reporting to the chief aiofficer (caio), this role balances technical vision and leadershipwith operational execution. the ai engineering manager will driveai solution development, apply the scientific process to productimprovement, and ensure clear communication across teams andleadership. they will oversee technical design & projecttimelines, manage requirements and features, delegate tasks, trackprogress, and ensure on-time delivery while mentoring talent andmanaging stakeholder expectations. this hands-on leader will managecomplex ai product lifecycles in a fast-paced startup, ensuring wedeliver unique value to enterprise clients and strengthen ourindustry leadership. key responsibilities: - recruit, mentor, anddevelop a high-performing, diverse ai/ml and data engineeringteam—fostering colla...
Title: modernization technical project manager jobtype: full-time location: remote company description: mechanized aiis at the forefront of ai innovation, leveraging cutting-edgetechnology to transform legacy systems into modern, efficient, andscalable solutions. we work with enterprise clients to breathe lifeinto their existing software, ensuring that they can meet thedemands of today’s fast-paced, digital landscape. our team thriveson solving complex challenges and delivering innovative solutions. as an organization, we are committed to fostering an environmentthat encourages creativity, collaboration, and continuous learning. job summary: we are seeking an experienced modernization technicalproject manager (tpm) to join our dynamic team. the tpm willcollaborate closely with clients and internal team members to drivethe successful delivery of mechanized ai’s infrastructure andapplication modernization projects. the ideal candidate will have ablend of strong technical expertise, exceptional project managementskills, and a strong understanding of ai and machine learningtechnologies. key responsibilities: - manage end-to-end delivery ofmechanized ai infrastructure and application modernization projects - oversee the migration of virtual machines (vms) to containers andthe modernization of legacy applications (e.g., .net, cobol, java)to modern technology stacks - coordinate the integration ofgenerative ai capabilities into clients’ modernization efforts,ensuring seamless adoption - collaborate with enterprise clients togather technical and functional requirements and trans...
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 aiinnovation, leveraging advanced technologies to solve complexreal-world problems. we are dedicated to creating cutting-edgesolutions that drive modernization and efficiency acrossindustries. as a growing team of passionate professionals, we arecommitted 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 machinelearning/deep learning/generative ai (experience in enterprisecompanies or startups; teaching or academic experience likemasters/phd does not count) - 1 - year experience with tensorflow,pytorch, or keras - 1 - year experience in deploying models toproduction and managing/monitoring them - 1 - year with cloudplatforms (aws/gcp/azure) - 1 - year in mlops - 1 - yearclient-facing experience in ai projects - 6 - months experience withlarge language models (llms) and generative ai skills &expertise;: - strong focus on at least one of the following aispecialities: - mlops - classic ml (tabular, regression) - classicdl (computer vision, nlp, tabular, regression) - generative ai -deep reinforcement learning (drl) - full-stack ml - familiaritywith prompt engineering: approaches and best practices - experiencewith the following tools and techniques is highly desired: -pyspark - agent development - fine-tuning llms -retrieval-...
Title: modernization technical project manager 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 modernization technical project manager (tpm) to join our dynamic team. the tpm will collaborate closely with clients and internal team members to drive the successful delivery of mechanized ai's infrastructure and application modernization projects. the ideal candidate will have a blend of strong technical expertise, exceptional project management skills, and a strong understanding of ai and machine learning technologies. key responsibilities: manage end-to-end delivery of mechanized ai infrastructure and application modernization projects oversee the migration of virtual machines (vms) to containers and the modernization of legacy applications (e.g., .net, cobol, java) to modern technology stacks coordinate the integration of generative ai capabilities into clients' modernization efforts, ensuring seamless adoption collaborate with enterprise clients to gather technical and functional requi...
Title: ai 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 ai 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 frameworks stay current with emerging tec...
Title: ai engineering manager 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 ai engineering manager to lead our ai/ml data engineering team and collaborate with cloud, frontend, backend, and devsecops teams. reporting to the chief ai officer (caio), this role balances technical vision and leadership with operational execution. the ai engineering manager will drive ai solution development, apply the scientific process to product improvement, and ensure clear communication across teams and leadership. they will oversee technical design & project timelines, manage requirements and features, delegate tasks, track progress, and ensure on-time delivery while mentoring talent and managing stakeholder expectations. this hands-on leader will manage complex ai product lifecycles in a fast-paced startup, ensuring we deliver unique value to enterprise clients and strengthen our industry leadership. key responsibilities: recruit, mentor, and develop a high-performing, diverse ai/ml and data engineering t...
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 ...
Your strategic partner for hr, payroll & headhunting solutions we are searching for a highly skilled ai engineer with a strong background in machine learning (ml) and at least four years of hands-on experience in commercial environments beyond academia. the ideal candidate is passionate about ai, stays updated on the latest advancements, and is eager to contribute to innovative ai-driven solutions. location: open to candidates located anywhere in mexico, uruguay, colombia, argentina, chile, brazil, costa rica, puerto rico, nicaragua, dominican republic, el salvador, honduras or panama your 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 frameworks stay current with emerging technologies and ml best practices to continuously improve our methodologies and tools. requirements 4+ years of ml experience at a start-up or larger enterprise — high priority 6+ months of experience with large language models (llms) and generative ai (genai) applications – high priority client delivery experience — high priority effective written and oral communications skills (c1/c2 — advanced/proficient level english is required) — high priority bachelor’s degree in comput...
Title: backend engineer job type: full-time location: remote (any location) 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 looking for a senior cloud backend engineer to help us create ai products in different clouds (azure, gcp, aws). the ideal individual will be a cloud data focused resource with heavy experience in python and cloud data. required skills & experience: 4+ years of industry experience as a cloud data engineer/backend engineer. deep experience in python (4+ years) and flask (2+ years). deep cloud experience and experience designing & building cloud architectures for data-centric products end-to-end (azure, gcp, or aws). experience with infrastructure as code: pulumi, terraform (at least 2 years). experience with authentication best practices (auth0, cognito), sql & nosql on the cloud, network configuration (nlbs), logging, and data streaming. experience with creating multi-tenant and single-tenant platform tools. experience building products using ecs, flask, python. knowledge of devops best practices. bachelor's or master's in comput...
Title: modernization technical project manager 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 modernization technical project manager (tpm) to join our dynamic team. the tpm will collaborate closely with clients and internal team members to drive the successful delivery of mechanized ai’s infrastructure and application modernization projects. the ideal candidate will have a blend of strong technical expertise, exceptional project management skills, and a strong understanding of ai and machine learning technologies. key responsibilities: manage end-to-end delivery of mechanized ai infrastructure and application modernization projects oversee the migration of virtual machines (vms) to containers and the modernization of legacy applications (e.g., .net, cobol, java) to modern technology stacks coordinate the integration of generative ai capabilities into clients’ modernization efforts, ensuring seamless adoption collaborate with enterprise clients to gather technical and functional requirements...
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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