Senior Data Scientist – Generative AI & Agents

Job not on LinkedIn

🕒 May 27

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

YDUQS

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2019

📚 Education

⚕️ Healthcare Insurance

💰 Post-IPO Equity on 2017-07

Education • Healthcare Insurance • ESG

YDUQS is a Brazilian educational organization that focuses on providing higher education through multiple business units. The company is actively involved in expanding its presence in the healthcare education sector, recently acquiring additional medical school vacancies. YDUQS emphasizes its commitment to ESG (Environmental, Social, and Governance) strategies, aiming to enhance its social impact while delivering significant financial results. The organization regularly shares its financial performance and strategic developments with stakeholders, including hosting teleconferences for result disclosures.

📋 Description

• Develop advanced AI solutions: Design and implement intelligent agents (e.g., ReAct), integrating tools, APIs, and data to automate processes and deliver business value; • Work with end-to-end autonomy: Provide technical leadership across the delivery lifecycle, from experimentation (RAG, embeddings, advanced prompting, fine-tuning) to productionalization of models; • Write excellent code: Develop in Python with a focus on scalability, maintainability, and software engineering best practices, ensuring production-ready quality; • Support the setup of LLMOps/GenAI Ops: Implement robust evaluation (evals) pipelines, versioning, and continuous monitoring for generative AI solutions; • Act as a day-to-day mentor: Support the technical development of mid-level and junior data scientists through knowledge sharing, code reviews, and pair programming; • Collaborate with multidisciplinary teams: Work alongside data engineers, machine learning engineers, and architects to ensure models run efficiently on Databricks.

🎯 Requirements

• Bachelor’s degree in Technology or a related field; • Proven, solid experience as a Data Scientist, with a strong track record of delivery and the ability to solve complex analytical problems; • Hands-on experience with Generative AI and LLMs (OpenAI, Anthropic, or open-source models), beyond proofs of concept (PoCs); • Strong proficiency in Python and data/ML libraries; • Established experience with Databricks (or similar big data environments) and proficiency in SQL; • Practical knowledge of MLOps/LLMOps and deploying models to production (CI/CD, versioning with Git, etc.); • Ability to communicate results and technical challenges clearly to peers and leadership. • Considered a plus: • Prior experience building solutions with frameworks such as LangChain, LlamaIndex, or CrewAI; • Experience implementing vector search architectures (Vector Databases) and complex RAG setups; • Strong background in software engineering applied to data; • Knowledge of guardrail strategies, governance, and techniques to mitigate hallucinations in LLMs.

🏖️ Benefits

• Tuition scholarships of up to 100% for employees, legal dependents, and extended family members (parents and siblings), allowing up to three concurrent scholarships; • Health insurance with full subsidy for the employee and partial subsidy for their family (employee responsible for co-payment); • Optional dental coverage to support your oral health; • Meal or food allowance with the option to choose according to your needs; • Wellhub or Totalpass for flexible gym membership options; • Wellz, a platform focused on employees’ mental and emotional health that offers various types of support, including access to individual online therapy; • Well-being and perks club with a dedicated program and exclusive benefits; • Flexible dress code to support our diversity; • Life insurance; • Partnership with SESC; • Corporate University on our exclusive portal, Educare; • Growth opportunities — currently more than 60% of positions are filled through internal selection.