Blend360 Data Scientist Manager - GenAI \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Data Scientist Manager - GenAI Full-time Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a Data Science Manager to contribute to our next level of growth and expansion. What is this position about? As part of our growing Data Science team focused on Generative and Applied AI, this role is responsible for designing, building, and deploying production-ready, LLM-powered solutions. The position combines hands-on work with large language models, retrieval-augmented generation (RAG), and agentic systems, while collaborating closely with Engineering, Product, and ML Ops teams to take AI solutions from prototype to scalable production environments. Job Description Architect, implement, and deploy production-ready AI solutions using LLMs, transformer-based models, retrieval systems, and agentic workflows. Design, iterate, and optimize prompts, workflows, and RAG pipelines to improve accuracy, latency, cost-efficiency, and safety. Build multi-step agentic systems capable of task decomposition, tool and API invocation, state management, and robust reasoning chains. Deploy and maintain GenAI pipelines across API, batch, and streaming production environments, ensuring reliability and scalability. Develop and maintain evaluation frameworks to measure grounding, factuality, latency, and cost of AI systems. Implement guardrails and safeguards, including prompt-injection protection, content moderation, output validation, loop prevention, and tool-call limits. Collaborate cross-functionally with Product, Engineering, and ML Ops teams to deliver high-quality AI features end-to-end. Qualifications 3+ years of experience in applied machine learning, with strong exposure to NLP, transformers, or generative AI systems. Hands-on experience with LLM and agent frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, or similar tools and services (e.g., Azure Prompt Flow, AWS Bedrock agents). Proven experience designing and operating multi-step agentic systems with appropriate safety and reliability safeguards. Solid ML foundations with experience building and deploying models into production environments (API, batch, or streaming). Strong Python skills, following clean, modular, and production-grade coding practices. Demonstrated ability to design, run, and analyze experiments using metrics-driven decision-making. Experience deploying and monitoring AI-powered applications in cloud environments (AWS, Azure, or GCP), including containerization, versioning, and CI/CD. Experience or strong interest in Responsible AI practices, including privacy, bias mitigation, and safety guardrails. Degree in Computer Science, Data Science, Engineering, or a related field (or equivalent practical experience). Strong collaboration skills and ability to operate at the intersection of Data Science and Engineering, owning solutions from prototype to production. What about languages? Advanced English proficiency is required for effective communication with international teams and stakeholders. Additional Information Our perks and benefits: Every day lunches! (headquarters): Vegetarian, vegan, gluten and sugar free options. Gourmet meals every Friday with our on-site chef! Flexible working options to help you strike the right balance. All the equipment you need to harness your talent (Macbook and accessories). Snacks and beverages available everyday (headquarters). After office events, football, tennis and game nights (headquarters). Everyone is welcome to join our football league every Wednesdays and Fridays. Challenge your teammates to a pool game and win the offices trophy! Tennis courts available for friendly matches. Not a sports person? Dont worry, we also have chess championships, game and music nights for you to join! Learning opportunities: AWS Certifications (we are AWS Partners). Study plans, courses and other certifications. English Lessons. Learn from your teammates on our Tech Tuesdays! Mentoring and Development opportunities to shape your career path. Anniversary and birthday gifts. Great location and even greater teammates! So what are the next steps? Our team is eager to learn about you! Send us your resume or LinkedIn profile below and well explore working together! I'm interested I'm interested ImprintCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Data Scientist Manager - GenAI Montevideo, URUGUAY, Uruguay Full-time I'm interested I'm interested

The role requires at least three years of experience in applied machine learning, with a strong background in NLP, transformers, or generative AI systems. Hands-on experience with LLM and agent frameworks such as LangChain, LlamaIndex, OpenAI API, CrewAI, or similar tools is necessary. Proven experience in designing and operating multi-step agentic systems with safety and reliability safeguards is expected. Solid ML foundations and experience deploying models into production environments are required, along with strong Python skills and experience with cloud environments like AWS, Azure, or GCP. A degree in Computer Science, Data Science, Engineering, or a related field, or equivalent practical experience, is also mentioned.