Data Scientist - Google CCAI

Company DescriptionMiratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job DescriptionWe are looking for a highly skilled Data Scientist with deep expertise in machine learning (ML) and deep learning (DL), particularly in deploying solutions on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience with Dialogflow CX, Vertex AI, Python, LLMs, and Agentic AI systems, and a strong presence on GitHub showcasing real-world project.Responsibilities:Design, develop, and deploy ML/DL models using Vertex AI, Python, and GCP-native tools.Build and optimize conversational AI agents using Dialogflow CX, integrating with APIs and backend systems.Develop and fine-tune Large Language Models (LLMs) for various NLP tasks, including summarization, classification, and question answering.Implement Agentic AI systems that can autonomously plan, reason, and execute tasks using LLMs and orchestration frameworks.Collaborate with engineering and product teams to translate business needs into scalable AI solutions.Maintain and showcase code and projects on GitHub, ensuring reproducibility and collaboration.Monitor model performance, conduct A/B testing, and iterate based on feedback and metrics.Automate ML workflows using CI/CD pipelines, Docker, Kubernetes, and MLOps best practices.Qualifications4+ years of professional experience in ML, DL, or applied AI roles.Hands-on expertise in machine learning (ML) and deep learning (DL), with real-world deployment experience on Google Cloud Platform (GCP).Proven experience with Dialogflow CX for building and optimizing conversational AI agents.Proficiency in Python, with strong software engineering practices (modular code, testing, version control).Demonstrated experience deploying and scaling models using Vertex AI and other GCP-native tools.Experience working with Large Language Models (LLMs) for NLP tasks like summarization, classification, and Q&A.Practical knowledge in designing and implementing Agentic AI systems, including autonomous planning, reasoning, and orchestration.Ability to develop API integrations and connect AI agents to backend services.Familiarity with CI/CD pipelines, Docker, and Kubernetes for deploying ML workflows.Strong communication and collaboration skills; ability to work cross-functionally with product and engineering teams.Bachelor's or Master’s degree in Computer Science, Data Science, AI/ML, or a related field (PhD is a plus).Demonstrated ability to solve business problems using AI with measurable outcomes (e.g., improved customer experience, reduced operational costs).Nice to have:Experience with LangChain, AutoGen, CrewAI, or similar LLM orchestration frameworks.Certification in Google Cloud (e.g., Professional Machine Learning Engineer or Cloud Architect) is preferred.We offer:The Chance to Make an Impact: grow alongside some of the tech industry’s premier talent, with a 99% project success rate delivering for some of the world’s biggest brands. Collaborate on projects that really matter, shaping the future of global industries for some of the biggest names in business. A Work From Anywhere Culture: make the most of the flexibility that comes with fully remote work, within a close-knit, values-driven community. Diversity and Empowerment: thrive in an inclusive and supportive multicultural environment, where differences are celebrated as a key driver of creativity and innovation. Our international culture of diversity gives everyone the chance to make a real difference – in their own way. Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility, and internship opportunities. A Better Way of Working: join a company that puts sustainability at the heart of everything it does. Our community is active on a range of sustainability issues, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality and inclusion. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. Originally posted on Himalayas

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