Machine Learning Architect

System Soft Technologies; Brasil; In loco; BRL 280.000 - 560.000; Tempo pieno

Descrizione del lavoro

System Soft Technologies is seeking an experienced Machine Learning Architect to lead design, development, and deployment of scalable AI/ML solutions across enterprise platforms. You will architect end-to-end ML systems, define AI strategies, and collaborate with cross-functional teams to deliver data-driven solutions.

The role requires expertise in ML, cloud platforms, MLOps, Generative AI, and LLMs, with hands-on experience in Python and leading ML frameworks.

Competenze

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
• 10+ years IT experience with 5+ years in ML architecture.
• Experience designing enterprise-scale ML/AI solutions.

Mansioni

• Design and architect scalable ML/AI solutions aligned with business objectives.
• Lead end-to-end ML lifecycle: data ingestion, features, training, deployment, monitoring.
• Define enterprise AI/ML architecture standards and governance.

Conoscenze

Python

TensorFlow

PyTorch

Scikit-learn

Keras

ML Lifecycle

MLOps

NLP

Computer Vision

Formazione

Bachelor's or Master's in CS/AI/Data Science

Strumenti

TensorFlow

PyTorch

Spark

Databricks

Hadoop

Kafka

Pinecone / vector DBs

Descrizione del lavoro

Job Summary:

We are seeking an experienced Machine Learning Architect to lead the design, development, and deployment of scalable AI/ML solutions across enterprise platforms. The ideal candidate will be responsible for architecting end-to-end machine learning systems, defining AI strategies, and collaborating with cross-functional teams to deliver innovative data-driven solutions. This role requires strong expertise in machine learning, cloud platforms, MLOps, and modern AI technologies including Generative AI and Large Language Models (LLMs).

Responsibilities:

• Design and architect scalable Machine Learning and AI solutions aligned with business objectives
• Lead the end-to-end ML lifecycle including data ingestion, feature engineering, model training, deployment, and monitoring
• Define enterprise AI/ML architecture standards, best practices, and governance frameworks
• Build and optimize ML pipelines using MLOps methodologies
• Collaborate with Data Scientists, Data Engineers, Product Owners, and business stakeholders
• Evaluate and implement advanced ML models including Deep Learning, NLP, Computer Vision, and Generative AI solutions
• Develop cloud-native AI architectures leveraging Azure, AWS, or Google Cloud services
• Design and implement model monitoring, retraining, and performance optimization strategies
• Ensure AI solutions meet security, compliance, privacy, and governance requirements
• Mentor engineering teams and provide technical leadership on AI initiatives
• Conduct architectural reviews and recommend emerging technologies and frameworks

Experience:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• 10+ years of IT experience with at least 5+ years in Machine Learning Architecture.
• Strong experience designing enterprise-scale ML and AI solutions.
• Expertise in Python and machine learning frameworks such as:TensorFlowPyTorchScikit-learnKerasHands-on experience with ML lifecycle management and MLOps tools.
• Strong understanding of:Supervised LearningUnsupervised LearningReinforcement LearningDeep LearningNatural Language Processing (NLP)
• Experience working with Big Data technologies such as Spark, Databricks, Hadoop, or Kafka.
• Strong SQL and data modeling skills.

Nice to Have:

• Experience with Generative AI, LLMs, Retrieval-Augmented Generation (RAG), and Prompt Engineering.
• Experience with vector databases such as Pinecone, Weaviate, Milvus, or Azure AI Search.
• Knowledge of AI governance, responsible AI practices, and model explainability.
• Experience integrating AI solutions into enterprise applications and APIs.
• AI/ML certifications from Azure, AWS, or Google Cloud platforms.