Senior Data Scientist – GenAI/ML

Job not on LinkedIn

🕒 September 16

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟠 Senior

📊 Data Scientist

👻 Ghost score 30%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Mollica IT

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2013

🎯 Recruiter

🤝 B2B

Recruitment • B2B

Mollica IT is a São Paulo–based recruitment and selection agency specializing in sourcing and placing IT professionals for companies in Brazil and abroad. The firm positions itself as a hands-on recruitment partner, offering fast, accurate hiring solutions across a broad range of technical roles — from C-level and PMO to DevOps, cloud (Azure/AWS), ERP (SAP, Oracle), big data and data science, databases, infrastructure and telecom, cybersecurity, Salesforce, mobile and full‑stack development, QA/testing and commercial/business roles. Mollica IT emphasizes speed, quality, inclusive hiring and partnership-style service for corporate clients.

📋 Description

• Work cross-functionally on strategic projects, supporting different areas in identifying and developing AI-based solutions • Partner with project managers, business teams, data engineering, and technology teams • Analyze the project backlog and identify opportunities to apply AI, Machine Learning, and Generative AI • Participate in defining technical solutions, contributing to architecture, solution design, and the selection of technologies and models • Develop solutions using Machine Learning, predictive models, and Generative AI • Develop AI applications and components using Python and Software Engineering practices • Explore and develop GenAI/LLM applications, including integration with AI services and resources in Azure and Databricks • Perform exploratory data analysis and data preparation, define hypotheses, train and evaluate models, and continuously improve them • Implement and deploy models and applications in cloud environments • Build and enhance Machine Learning and MLOps pipelines, from development and testing through deployment and monitoring • Work with Azure, Databricks, MLflow, Docker, and CI/CD pipelines • Contribute to the definition and evolution of data and AI solution architecture • Ensure best practices in development, version control, documentation, testing, and maintenance • Monitor the evolution of AI technologies and identify new tools, models, and applications • Serve as a technical reference in Advanced Analytics, Machine Learning, and GenAI • Perform other duties related to the department

🎯 Requirements

• Relevant professional experience in Data Science, Machine Learning, Artificial Intelligence, or Machine Learning Engineering • Strong hands-on experience with Python and SQL • Experience developing Machine Learning and predictive models • Experience with Generative AI and LLMs, preferably in enterprise applications • Hands-on experience with Azure and Databricks • Knowledge of and experience with MLOps, including MLflow, Docker, pipelines, and model deployment • Experience applying Software Engineering practices to data and AI solutions • Knowledge of solution architecture, APIs, systems integration, and application development • Experience with the complete AI solution development lifecycle: problem understanding, data analysis, modeling, development, testing, deployment, and production monitoring • Knowledge of Machine Learning libraries and frameworks such as Scikit-learn, Keras, TensorFlow, PyTorch, or equivalent • Experience with CI/CD environments, Git, and code version control • Bachelor’s degree in Computer Science, Engineering, Information Systems, Statistics, Mathematics, or a related field • Preferred qualifications: experience with Azure AI/Azure AI Studio; advanced experience with Databricks; development of GenAI/LLM applications; Deep Learning; time-series models; systems optimization; Feature Store and Model Serving; experience in the industrial, mining, or metallurgical sectors; IoT (MQTT, LoRa, and OPC UA); Microsoft DP-100, Databricks Machine Learning Associate, or related certifications

🏖️ Benefits

• Engagement type: Independent contractor (PJ) • Term: Indefinite • Work arrangement: Fully remote • Candidates from anywhere in Brazil are welcome to apply

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