Empleos actuales relacionados con Machine Learning Engineer - Santa Fe Capital - Applaudo
-
Azure Machine Learning Engineer
hace 6 días
Capital Federal, Buenos Aires, Argentina Emprego AR A tiempo completo**Detalles de la oferta**: About The OpportunityNetrix Global is looking for a Machine Learning Engineer for the Professional Services - Data Intelligence department. The Machine Learning Engineer act as critical members of the data science team. Their tasks involve researching, building, and designing the artificial intelligence responsible for machine...
-
Principal Machine Learning Engineer, Ad Performance
hace 3 semanas
Santa Fe Capital, Argentina Launch Potato A tiempo completoPrincipal Machine Learning Engineer, Ad Performance As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed,...
-
Principal Machine Learning Engineer
hace 3 semanas
Santa Fe Capital, Argentina Launch Potato A tiempo completoOverview As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive...
-
Data Architect
hace 1 semana
Capital Federal, Buenos Aires, Argentina Business Commercial Management A tiempo completoBCM Uruguay is Hiring! Senior Site Reliability Engineer - Remote Remote - LATAM **English Level**: B2+ / C1 - Advanced Contractor - USD ⏱ Full-Time Para empresa multinacional de servicios en ingeniería digital, especialista en software de última generación y en desarrollo de productos digitales. Cuando una idea aparece, nacen la motivación y el deseo...
-
Principal Machine Learning Engineer, Recommendation Systems
hace 3 semanas
Santa Fe Capital, Argentina Launch Potato A tiempo completoOverview As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive...
-
Lead Machine Learning Engineer
hace 3 semanas
Santa Fe Capital, Argentina Launch Potato A tiempo completoOverview As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive...
-
Desarrollador Machine Learning
hace 1 semana
Capital Federal, Buenos Aires, Argentina Cosys Global A tiempo completoNos encontramos en la búsqueda de un Desarrollador Machine Learning para trabajar junto a una empresa de Estados Unidos, en un proyecto de magnitud. Buscamos un talento entusiasta y proactivo, motivado por el aprendizaje constante y las ganas de desarrollarse en un entorno desafiante y dinámico. Donde la principal tarea a desarrollar será hacer y entrenar...
-
Lead ML Engineer — Real-Time Personalization
hace 3 semanas
Santa Fe Capital, Argentina Launch Potato A tiempo completoA leading technology company is seeking a Lead Machine Learning Engineer, specializing in Recommendation Systems. This role involves building and optimizing ML models that serve 100 million predictions per day, directly impacting user engagement and retention. The ideal candidate has over 7 years of experience in production ML systems and is skilled in...
-
Senior AI Engineer: Build
hace 3 semanas
Santa Fe Capital, Argentina Applaudo A tiempo completoA leading tech company in Santa Fe is seeking a highly skilled Senior AI Engineer responsible for designing and deploying cutting-edge AI solutions. The role requires expertise in machine learning, Python, and cloud technologies, with a strong focus on building scalable systems. You will collaborate in Agile teams, optimizing ML pipelines and ensuring the...
-
Senior AI Engineer
hace 3 semanas
Santa Fe Capital, Argentina Applaudo A tiempo completoJoin to apply for the Senior AI Engineer role at Applaudo You are a highly skilled Senior AI Engineer who thrives on designing and deploying advanced AI solutions that solve real-world problems at scale. You excel at building end-to-end machine learning systems, integrating modern AI frameworks, and leveraging cloud and container technologies to deliver...
Machine Learning Engineer
hace 4 semanas
You are a highly skilled Machine Learning Engineer who thrives on building real-world AI solutions that deliver measurable business impact. You enjoy working with modern ML and LLM technologies, designing scalable training and inference pipelines, and ensuring models are reliable, explainable, and production‑ready. You communicate clearly, collaborate effectively with engineering and product teams, and stay ahead of emerging AI advancements. You are also someone who enjoys mentoring others and contributing to the organization’s AI/ML best practices. Qualifications Bachelor’s Degree or higher in Computer Science, Computer Engineering, Data Science, or related field – or equivalent experience. Strong expertise with the Python ML stack: scikit‑learn, pandas, NumPy. Hands‑on experience integrating and optimizing LLM‑based systems (OpenAI API, LangChain, fine‑tuning workflows, RAG pipelines). Solid knowledge of forecasting models: regression, time‑series, probabilistic approaches. Experience building and maintaining confidence scoring systems using hybrid rule‑based + ML methods. Deep understanding of model evaluation, bias detection, drift analysis, and performance analytics. Ability to design and implement training, inference, and continuous‑improvement pipelines. Familiarity with MLOps practices, including model versioning, monitoring, and retraining cycles. Experience with vector databases such as FAISS, Pinecone, Weaviate and HuggingFace Transformers. Strong analytical, problem‑solving, and system‑thinking abilities. Excellent communication and documentation skills for collaborating across technical and non‑technical teams. Experience mentoring engineers or leading ML initiatives. (Nice to Have) Cloud experience with AWS, Azure, or GCP; familiarity with distributed data processing. (Nice to Have) Advanced English level, as you will collaborate with teams and stakeholders across regions. Responsibilities Design, build, and maintain training and inference pipelines for traditional ML and LLM‑based systems. Develop predictive models using regression, time‑series, and probabilistic techniques. Build and refine confidence scoring systems to ensure model reliability. Integrate LLMs (OpenAI, HuggingFace) across products using APIs, LangChain, fine‑tuning, and RAG pipelines. Conduct bias, drift, error, and fairness analysis to maintain model transparency and robustness. Implement and manage vector databases to support retrieval‑augmented generation pipelines. Collaborate closely with engineering and product teams to bring ML‑powered features into production environments. Apply MLOps principles: model monitoring, retraining workflows, versioning, and CI/CD for ML. Provide mentorship to team members and contribute to shaping the company’s AI/ML engineering standards. Stay current with industry advances and proactively recommend emerging tools, frameworks, and best practices. Additional Information Here at Applaudo Studios values as trust, communication, respect, excellence and teamwork are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking. Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer are deeply thought and designed as a way to thank them for their commitment and excellence. Benefits Celebrations Entertainment area* Modern Work Spaces* Great work environment Private medical insurance* *Benefits may vary according to your location and/or availability. Request further information when applying. Location: Rosario, Santa Fe, Argentina #J-18808-Ljbffr
