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HomeCompaniesBlanclabsSenior Machine Learning Engineer - Argentina

Senior Machine Learning Engineer - Argentina

Blanclabs · Hybrid · Active · BambooHR

Job facts

FieldValue
CompanyBlanclabs
TitleSenior Machine Learning Engineer - Argentina
Normalized title-
Department / teamGenerative AI
LocationArgentina, Argentina
Work modelHybrid / Hybrid
Employment typeFTE
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-04-23 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Blanclabs.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Generative AI.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyBlanclabs
Source6d9ccbfb-3c0e-4bbc-a21a-584475a56946
ATS providerBambooHR

Description

Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth. We are looking for a Senior Machine Learning Engineer in Argentina to lead the end-to-end development and lifecycle management of machine learning models powered by proprietary data. This is a highly impactful role at the core of our AI ecosystem, responsible for building scalable, production-grade ML systems that directly power intelligent product features. You will collaborate closely with Data Scientists, AI Engineers, and Principal AI Engineers to identify opportunities, develop robust models, and ensure seamless integration into production systems. Key Responsibilities Design, build, and deploy end-to-end machine learning models using proprietary datasets Own the full ML lifecycle, including data preparation, feature engineering, model training, evaluation, and validation Collaborate with Data Scientists to identify and prioritize high-impact ML opportunities Work with Principal AI Engineers to ensure models align with system architecture and engineering best practices Package and expose trained models as scalable APIs for consumption by AI Engineers and downstream systems Build and maintain model pipelines, including versioning, retraining, and continuous improvement workflows Monitor model performance in production, ensuring accuracy, reliability, and relevance over time Troubleshoot model drift, data quality issues, and performance bottlenecks Qualifications Strong experience in machine learning engineering, with production deployment experience Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and model evaluation techniques Hands-on experience deploying ML models as APIs or microservices Familiarity with MLOps practices, including model versioning, monitoring, and retraining pipelines Experience working with large-scale or proprietary datasets Strong software engineering fundamentals (testing, scalability, performance optimization) Ability to collaborate effectively with cross-functional teams Nice-to-Have Experience with cloud platforms (AWS, GCP, or Azure) and ML services (e.g., SageMaker, Vertex AI) Familiarity with containerization and orchestration tools (Docker, Kubernetes) Experience with real-time or low-latency ML systems Exposure to LLMs or hybrid AI/ML systems Experience in building data pipelines (Airflow, Spark, etc.) Blanc Labs is an equal opportunity employer and is committed to employing in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process. Blanc Labs is enabling a digital future. Headquartered in Toronto, we partner with clients in North & South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at  www.blanclabs.com .

Full job record

Job IDc60c3cc52c20db50fb758b0a36d4915c0ba04dbb
Org IDd85b7b62-8cb7-4806-85de-4ade93d63df2
Source ID6d9ccbfb-3c0e-4bbc-a21a-584475a56946
Board ID6d9ccbfb-3c0e-4bbc-a21a-584475a56946
Providerbamboohr
Provider Job Key257
TitleSenior Machine Learning Engineer - Argentina
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentGenerative AI
Team
Employment TypeFTE
Workplace Typehybrid
Remote Policyhybrid
CountryArgentina
RegionArgentina
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://blanclabs.bamboohr.com/careers/257
Apply URLhttps://blanclabs.bamboohr.com/careers/257
First Seen At2026-05-30 05:52:39Z
Last Seen At2026-06-06 09:44:51Z
Last Checked At2026-06-06 09:44:51Z
Last Changed At2026-05-30 05:52:39Z
Inactive At
Source Posted At2026-04-23 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=blanclabs/date=2026-06-06/2026-06-06T09-44-50-107Z-ce0d2f3cf8d13c3249c02eac8c70eeb6077a3096163c5c8d8765fadb6c588274.json
Event Fields
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  "last_changed_at": "2026-05-30T05:52:39.782Z",
  "active_status": "active"
}
Parsed Structured
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    "region": "Argentina",
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    "confidence": 0.8
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  "salary_min": null,
  "inferred_at": "2026-06-06T09:44:50.997Z",
  "launch_scope": {
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    "included": true,
    "location": {
      "raw": "Remote, Argentina, Argentina",
      "city": null,
      "region": "Argentina",
      "country": "Argentina",
      "is_remote": false,
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  "remote_policy": "hybrid",
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  "workplace_type": "hybrid",
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}
Extensions
{}
Native Structured
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    "description": "<p><span>Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.</span><br><br></p>\n<p>We are looking for a <span style=\"font-weight: bold\">Senior Machine Learning Engineer</span> in Argentina to lead the end-to-end development and lifecycle management of machine learning models powered by proprietary data. This is a highly impactful role at the core of our AI ecosystem, responsible for building scalable, production-grade ML systems that directly power intelligent product features.</p>\n<p><br></p>\n<p>You will collaborate closely with Data Scientists, AI Engineers, and Principal AI Engineers to identify opportunities, develop robust models, and ensure seamless integration into production systems.</p>\n<p><br></p>\n<p><span style=\"font-size: 18pt\"><span><span style=\"font-weight: bold\">Key Responsibilities</span></span></span></p>\n<ul>\n<li>Design, build, and deploy end-to-end machine learning models using proprietary datasets</li>\n<li>Own the full ML lifecycle, including data preparation, feature engineering, model training, evaluation, and validation</li>\n<li>Collaborate with Data Scientists to identify and prioritize high-impact ML opportunities</li>\n<li>Work with Principal AI Engineers to ensure models align with system architecture and engineering best practices</li>\n<li>Package and expose trained models as scalable APIs for consumption by AI Engineers and downstream systems</li>\n<li>Build and maintain model pipelines, including versioning, retraining, and continuous improvement workflows</li>\n<li>Monitor model performance in production, ensuring accuracy, reliability, and relevance over time</li>\n<li>Troubleshoot model drift, data quality issues, and performance bottlenecks</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 18pt\"><span><span style=\"font-weight: bold\">Qualifications</span></span></span></p>\n<ul>\n<li>Strong experience in machine learning engineering, with production deployment experience</li>\n<li>Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)</li>\n<li>Experience with data preprocessing, feature engineering, and model evaluation techniques</li>\n<li>Hands-on experience deploying ML models as APIs or microservices</li>\n<li>Familiarity with MLOps practices, including model versioning, monitoring, and retraining pipelines</li>\n<li>Experience working with large-scale or proprietary datasets</li>\n<li>Strong software engineering fundamentals (testing, scalability, performance optimization)</li>\n<li>Ability to collaborate effectively with cross-functional teams</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 18pt\"><span><span style=\"font-weight: bold\">Nice-to-Have</span></span></span></p>\n<ul>\n<li>Experience with cloud platforms (AWS, GCP, or Azure) and ML services (e.g., SageMaker, Vertex AI)</li>\n<li>Familiarity with containerization and orchestration tools (Docker, Kubernetes)</li>\n<li>Experience with real-time or low-latency ML systems</li>\n<li>Exposure to LLMs or hybrid AI/ML systems</li>\n<li>Experience in building data pipelines (Airflow, Spark, etc.)</li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">Blanc Labs is an equal opportunity employer and is committed to employing in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process. </span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">Blanc Labs is enabling a digital future. Headquartered in Toronto, we partner with clients in North &amp; South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at </span><a href=\"https://www.blanclabs.com/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-size: 12pt\">www.blanclabs.com</span></a><span style=\"font-size: 12pt\">. </span></p>",
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    "jobOpeningName": "Senior Machine Learning Engineer - Argentina",
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    "minimumExperience": "Experienced",
    "jobOpeningShareUrl": "https://blanclabs.bamboohr.com/careers/257",
    "employmentStatusLabel": "FTE"
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}
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