Brillio

LLMOps Engineer - R01554697

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Brillio is seeking an LLMOps Engineer to operationalize large language models, implement scalable solutions, and drive innovation in AI/ML deployment. The role involves designing and maintaining end-to-end pipelines for LLM training, fine-tuning, validation, and deployment, building optimized infrastructure, and deploying LLMs to production with robust monitoring and performance optimization. The ideal candidate will also develop RESTful APIs for LLM inference, research emerging techniques, and establish best practices for LLM operations.

Sales Director - ServiceNow

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About Brillio:</h2><p class="my-4 text-gray-700 leading-relaxed">Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.</p><p class="my-4 text-gray-700 leading-relaxed">Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.</p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Role: LLMOps Engineer</h2><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Location: Tampa FL – 3days Hybrid</h2><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Responsibilities</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">The candidate will be responsible for operationalizing large language models, implementing scalable solutions, and driving innovation in AI/ML deployment practices</li><li class="leading-relaxed">This role requires someone who is passionate about learning new technologies, investigating cutting-edge techniques, and providing informed technical decisions</li><li class="leading-relaxed">Why It’s Important: Strategic or operational significance of solving this problem</li><li class="leading-relaxed">Success Metrics: What outcomes are expected when the solution is fully functional?</li><li class="leading-relaxed">Design, implement, and maintain end-to-end pipelines for LLM training, fine-tuning, validation, and deployment</li><li class="leading-relaxed">Build and optimize scalable infrastructure for large language model operations</li><li class="leading-relaxed">Deploy LLMs to production environments with prompt management, observability, serverless deployment, proper monitoring, scaling, and performance optimization</li><li class="leading-relaxed">Design, develop, and maintain RESTful APIs endpoints for LLM inference and model interactions</li><li class="leading-relaxed">Ensure API reliability, performance optimization, rate limiting, authentication, and comprehensive documentation</li><li class="leading-relaxed">Implement comprehensive monitoring solutions for model performance, drift detection, and system health metrics</li><li class="leading-relaxed">Research and evaluate emerging LLMOps techniques, tools, and methodologies</li><li class="leading-relaxed">Provide informed recommendations on technology choices, architecture decisions, and implementation strategies</li><li class="leading-relaxed">Establish and document best practices for LLM operations, deployment patterns, and governance frameworks</li><li class="leading-relaxed">Develop prototypes and POCs to validate new approaches and technologies</li><li class="leading-relaxed">Work closely with data scientists, ML engineers, DevOps teams, and product managers</li><li class="leading-relaxed">Create comprehensive documentation for systems, processes, and architectural decisions</li><li class="leading-relaxed">Mentor team members and share expertise through technical presentations and training sessions</li><li class="leading-relaxed">Optimize data preprocessing and feature engineering pipelines for LLM training and inference</li><li class="leading-relaxed">Implement data validation, quality checks, and lineage tracking for model training datasets</li><li class="leading-relaxed">Design efficient data storage and retrieval systems for large-scale model artifacts and training data</li><li class="leading-relaxed">Implement model governance frameworks including audit trails, compliance monitoring, and approval workflows</li><li class="leading-relaxed">Ensure secure model deployment practices, access controls, and data privacy measures</li><li class="leading-relaxed">Identify and mitigate risks associated with LLM deployment and operations</li><li class="leading-relaxed">Maintain development, staging, and production environments for LLM workflows</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Qualifications</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Bachelor’s degree in Computer Science, Statistics, Engineering or a related field (exceptional candidates without advanced degrees will be considered).</li><li class="leading-relaxed">LLMOps Engineer with software engineering experience</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Education: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent</h2><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Experience:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">6-12 years of experience building production-quality software (at least 5 years in Python) + 2 years in LLMOps</li><li class="leading-relaxed">6+ years of software development experience with strong programming skills in Python, SQL</li><li class="leading-relaxed">2+ years of hands-on experience LLMOps</li><li class="leading-relaxed">1+ years of experience with machine learning operations, model deployment, and lifecycle management</li><li class="leading-relaxed">Proficiency with at least one major cloud provider (AWS or GCP) and their ML services</li><li class="leading-relaxed">Experience with Docker, Kubernetes, and container orchestration for ML workloads</li><li class="leading-relaxed">Strong experience in designing, building, and maintaining production-grade APIs for ML services</li><li class="leading-relaxed">Proficiency with Git, CI/CD pipelines, and DevOps practices</li><li class="leading-relaxed">Understanding of LLM architectures, training methodologies, and fine-tuning techniques</li><li class="leading-relaxed">Knowledge of ML pipeline design, model monitoring, and deployment strategies</li><li class="leading-relaxed">Understanding of distributed systems, scalability patterns, and microservices architecture</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Good-to-Have Technical Skills</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience with HuggingFace Transformers, PyTorch, TensorFlow, or similar frameworks</li><li class="leading-relaxed">Knowledge of prompt optimization, RAG (Retrieval-Augmented Generation) architectures</li><li class="leading-relaxed">Experience with vector search</li></ul><p class="my-4 text-gray-700 leading-relaxed">Know what it’s like to work and grow at Brillio: <a href="https://www.brillio.com/join-us/" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">https://www.brillio.com/join-us/</a></p><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Equal Employment Opportunity Declaration</h2><p class="my-4 text-gray-700 leading-relaxed">Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.</p><p class="my-4 text-gray-700 leading-relaxed">#LI-CH1</p>

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Playrix, a leading mobile game developer, is seeking a dynamic Customer Support Representative for the Gardenscapes project. This role involves providing technical support for free-to-play mobile games, engaging with a global player base, and resolving issues in collaboration with various departments. The position requires working night shifts from 8 PM to 5 AM UTC.

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<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About the company</h3><p class="my-4 text-gray-700 leading-relaxed">Playrix is ​​one of the most successful mobile game development companies</p><p class="my-4 text-gray-700 leading-relaxed">in the world. In terms of mobile application revenue, we rank first in Europe</p><p class="my-4 text-gray-700 leading-relaxed">and are in the top 3 worldwide. Our games have been installed 2.3 billion times (that's a third of the world's population!) and more than 30 million people around the world play them every day.</p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Team, about the role</h3><p class="my-4 text-gray-700 leading-relaxed">Come and be a part of the exciting world of mobile game support at Playrix! We specialize in licensing, promoting, and marketing mobile games developed by Playrix, one of the world's top ten highest-grossing mobile developers. We are currently seeking a dynamic <strong>Customer Support Representative</strong> on the <strong>Gardenscapes</strong> project.</p><p class="my-4 text-gray-700 leading-relaxed"><strong>This role requires working night shifts from 8 PM to 5 AM UTC.</strong></p><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Tasks</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Being a go-to expert who provides tech support for our free-to-play mobile games’ multiple platforms (manage player tickets with the help of support engineers)</li><li class="leading-relaxed">Engaging with a global player base, offering technical advice and assistance</li><li class="leading-relaxed">Identifying, prioritizing, and swiftly resolving issues, collaborating with diverse departments such as production, QA, design, programming, legal, and marketing for seamless solutions</li><li class="leading-relaxed">Using your research skills to come up with solutions and enhance our support services</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Requirements</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience in customer support is <strong>required</strong></li><li class="leading-relaxed">Excellent communication skills in English, both verbal and written</li><li class="leading-relaxed">Excellent communication skills in Russian, both verbal and written</li><li class="leading-relaxed">Knowledge of an additional language is a plus</li><li class="leading-relaxed">A knack for swiftly grasping technical concepts and explaining them to users with different levels of technical expertise</li><li class="leading-relaxed">Experience playing mobile games is preferred</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">We offer</h3><p class="my-4 text-gray-700 leading-relaxed">##### Caring for health and well-being</p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">We provide voluntary health insurance for employees and their children, and reimburse online sessions with a psychologist.</li><li class="leading-relaxed">We offer fully paid vacation days and sick leave. In certain circumstances, you can request additional days off.</li><li class="leading-relaxed">We support leading a healthy lifestyle and reimburse the cost of gym memberships and fitness app subscriptions.</li></ul><p class="my-4 text-gray-700 leading-relaxed">##### Professional development and education</p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">We pay for participation in specialized conferences and courses and hold our own internal conferences.</li><li class="leading-relaxed">We offer discounts on English language courses and courses for the languages of the countries in which the company operates.</li></ul><p class="my-4 text-gray-700 leading-relaxed">##### Events and merch</p><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">We regularly hold offline events like team meetings, big corporate parties, and informal office parties.</li><li class="leading-relaxed">We also regularly organize fun competitions, quizzes, hackathons, and online fitness challenges.</li><li class="leading-relaxed">We have a merch store with an internal currency you can use to buy unique gifts. We give out this currency as a gift for significant dates, and you can earn more by participating in events and company activities.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Work Format</h3><p class="my-4 text-gray-700 leading-relaxed">Remote or from one of the company’s offices</p>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

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