Role Description We’re looking for a Senior AI Innovation Engineer to lead and accelerate our AI transformation journey. This is a highly strategic and hands-on role where you’ll turn ideas into real, revenue-generating solutions. You’ll combine a founder’s mindset with strong commercial ownership — driving execution, testing ideas through pilots, and building scalable AI-powered services. You will work cross-functionally with Sales, Product, and Delivery to ensure innovation directly impacts business growth. What you will do - Strategy Execution & Acceleration: - Take ownership of the existing AI transformation strategy and drive its execution at pace; - Identify gaps, dependencies, and bottlenecks, resolving them proactively; - Continuously refine strategy based on market feedback, client needs, and real-world learnings. - Product & Solution Development: - Contribute to building AI-powered service offerings beyond headcount-based models; - Prototype, test, and scale solutions from proof-of-concept to client deployment; - Define reusable AI components (knowledge bases, copilots, QA automation, intelligent routing). - Commercial Impact & Revenue Ownership: - Own revenue targets for innovation-driven offerings; - Partner with Sales and Business Growth teams to position AI solutions in client conversations; - Develop pricing and packaging strategies for hybrid AI + human service models. - Process Building & Operational Design: - Build repeatable frameworks for evaluating, piloting, and scaling new solutions; - Establish workflows, governance, and reporting for the innovation function; - Define and track success metrics (e.g., speed to pilot, adoption, cost efficiency, revenue impact). - Internal Transformation: - Drive implementation of AI agents into internal workflows; - Partner with internal teams to identify automation opportunities that improve efficiency and margins. Qualifications - Upper-Intermediate (B2) or higher English level; - Proven experience in a senior leadership role (Head or Lead level background); - Strong commercial mindset with deep understanding of margins and revenue impact; - Solid understanding of AI, LLMs, and automation workflows; - Experience aligning cross-functional teams; - Hands-on approach: testing ideas through pilots and structured validation; - Data-driven decision-making with focus on measurable outcomes; - High ownership mentality and accountability; - Strong organizational and structured thinking skills. Requirements - Experience in BPO, CX, or service-based companies; - Experience launching AI-driven products or automation solutions in production; - Familiarity with pricing models for SaaS or AI-enabled services. Benefits - Providing services during business hours; - Opportunity to cooperate fully remotely; - Inclusive international environment; - Compensation in USD; - Rewards for referring friends; - Balance between project workload and personal time, but also – internal health policy; - Responsive leadership interested in your growth and long-lasting cooperation; - Greenhouse conditions for self-development; - A culture built on trust, with no time-tracking requirements. *The items listed in this section may vary depending on the terms of your engagement. Certain benefits and conditions typically apply to employees; independent contractors may not be eligible for all of these. The specific terms, including compensation, benefits, and work conditions, will be clearly defined in your agreement if selected.

• Shape our roadmap to create new model capabilities and unlock new functionality for our customer base, on both short and long time horizons. • Propose novel multi-modal system architectures (especially text and voice). • Develop and evaluate streaming and conversational systems for low-latency, interactive voice-video synthesis. • Design solutions that reinforce emotional expressiveness and natural interaction. • Implement and bring designs to life, from pretraining through post-training. • Ship models to production with optimised runtime to serve customers, and address their feedback thereafter.

• Bring real-world problems to Warriors Lab and develop solutions into products or businesses • Research, design, build, test, improve, and deliver innovation projects

Role Description We are seeking an AI Innovation Engineer to bridge cutting-edge applied research and production engineering, designing and shipping advanced machine learning systems that solve high-impact business problems. The role blends scientific rigor with practical software engineering, requiring deep understanding of modern ML and deep learning techniques alongside the ability to build robust, scalable, and well-instrumented production pipelines. The ideal candidate stays current with the rapidly evolving AI research landscape, can critically evaluate new techniques for real-world applicability, and is comfortable operating across the full lifecycle from problem framing and experimentation to deployment and continuous improvement. Key Responsibilities - Design, prototype, and evaluate applied AI solutions across natural language, vision, recommendation, and structured data domains. - Translate ambiguous business problems into well-scoped ML formulations with clear success metrics and evaluation strategies. - Stay current with the latest research in deep learning, large language models, and adjacent areas, and assess applicability to internal use cases. - Implement rigorous experimentation workflows including baselines, ablations, and statistically sound evaluation methodology. - Build production-quality training and inference pipelines using modern ML frameworks and orchestration tools. - Collaborate with ML platform engineers to ensure efficient use of compute, storage, and accelerator resources. - Optimize models for accuracy, latency, throughput, and cost based on production requirements. - Develop tooling for dataset construction, labeling, validation, and ongoing monitoring of data quality. - Partner with product, design, and domain experts to ensure model behavior aligns with user needs and policy requirements. - Implement safety, fairness, and reliability evaluations and incorporate findings into model selection decisions. - Document research findings, design decisions, and operational characteristics clearly for both technical and non-technical audiences. - Mentor engineers on applied ML methodology, evaluation rigor, and responsible deployment. - Contribute to internal knowledge sharing, reading groups, and prototype-to-production playbooks. - Influence the broader AI roadmap based on research insight, capability gaps, and emerging opportunities. Qualifications - Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related field; or equivalent applied experience. - Six or more years of combined research and applied ML engineering experience. - Strong proficiency in Python and modern ML frameworks such as PyTorch or JAX. - Hands-on experience training, fine-tuning, and evaluating deep learning models at non-trivial scale. - Solid grounding in mathematics, statistics, and the theoretical foundations of modern ML. - Experience taking ML models from research prototype to production with appropriate observability and safeguards. - Familiarity with distributed training, mixed-precision training, and accelerator hardware. - Strong written and verbal communication skills, including ability to explain complex methods clearly. - Demonstrated ability to read, evaluate, and adapt techniques from current research literature. - Track record of shipping impactful applied AI projects. Preferred Qualifications - Published research at top-tier AI/ML venues. - Experience with large language model training, fine-tuning, or evaluation. - Familiarity with retrieval-augmented generation, agentic systems, or multimodal architectures. - Exposure to responsible AI, model evaluation, and alignment practices. - Experience contributing to open-source ML projects. How to Apply Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 676-4399. Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.