• Build LLM-based applications. • Develop conversational systems and semantic search and integrate them into the domain-specific applications of the industry solution. • Set up and maintain RAG (Retrieval-Augmented Generation) systems. • Including knowledge-base management: indexing, updates, and clean, source-separated storage of structured and unstructured content. • Operation and monitoring. • MLOps in production: observability, structured logging, and error analysis. • Ensure systems run reliably in production, not just that they worked once. • Deploy agents into production. • From development through integration and connection to portal systems to stable delivery. • Improve solutions based on data. • Use monitoring data, tests, and user feedback to iteratively improve solutions. • Experiment with new approaches. • Identify new AI use cases, prototype them, and build data pipelines from preprocessing and model development to production.

Role Description We are looking for a Machine Learning Engineer - RL to design, train, and deploy RL-based systems for high-impact decision-making problems where supervised learning alone is insufficient. The role requires deep familiarity with modern reinforcement learning algorithms, simulation environments, reward modeling, and the engineering complexity of training and evaluating policies at scale. The ideal candidate has both research depth and engineering pragmatism, with experience taking RL solutions out of the lab and into production where stability, safety, and ongoing improvement are critical. Key Responsibilities - Design and implement reinforcement learning solutions for sequential decision-making problems in real and simulated environments. - Develop, calibrate, and maintain simulation environments suitable for large-scale agent training. - Implement and evaluate modern RL algorithms including policy gradient, actor-critic, off-policy, and offline RL methods. - Engineer reward functions and shaping strategies that align agent behavior with desired outcomes and safety constraints. - Apply offline RL and imitation learning techniques where exploration is costly or unsafe. - Use RLHF, DPO, and related techniques for fine-tuning large language models when relevant. - Build scalable training infrastructure for distributed RL, including efficient experience collection and replay systems. - Optimize training stability and sample efficiency through algorithmic and engineering improvements. - Design rigorous evaluation protocols, including out-of-distribution and adversarial test cases. - Implement safety mechanisms such as constraint enforcement, conservative policies, and human-in-the-loop oversight. - Collaborate with applied scientists and product teams to identify high-value RL use cases. - Monitor deployed policies and models in production for drift, regression, and unintended behaviors, building the alerting and dashboards that surface issues before they meaningfully affect users. - Document methodology, design decisions, and operational characteristics for internal stakeholders. - Stay current with RL research and translate promising techniques into production-ready solutions. Qualifications - Master’s or PhD in Computer Science, Machine Learning, or a related field; or equivalent applied experience. - Six or more years of combined RL research and engineering experience. - Strong proficiency in Python and modern deep learning frameworks. - Hands-on experience with at least one major RL library or in-house RL stack. - Solid understanding of probability, optimization, and the theoretical foundations of RL. - Experience designing and tuning reward functions in non-trivial environments. - Familiarity with simulation environments and large-scale experience collection. - Experience training neural network policies on GPU clusters. - Strong written and verbal communication skills. - Track record of shipping or publishing impactful RL work. Preferred Qualifications - Experience with RLHF for large language models. - Familiarity with multi-agent RL or hierarchical RL. - Exposure to robotics, control systems, or autonomous driving. - Publications in RL or related research venues. - Open-source contributions to RL libraries or environments. 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. Learn more about Bright Vision Technologies at www.bvteck.com . 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.

Role Description The Senior Presentation Associate position is responsible for providing presentation services for our clients. - Utilize appropriate logs and/or tracking software for all presentation work. - Thoroughly assess job request and ensure appropriate completion of job tasks throughout task lifecycle. - Perform work in presentation design, including, but not limited to: - Creating pitch books and materials. - Creating, editing, and error correcting multiple document types to support the client’s brand. - Intake and workflow coordination functions, as needed. - Exercise independent judgment & use established procedures, standards, and formats to edit, proof, create, or otherwise complete presentation requests to client satisfaction. - Demonstrate proficiency in using equipment/technology/software and hardware necessary to perform job functions. - Communicate with team members, lead, supervisor, or client on job or deadline concerns. - Meet contracted deadlines for service delivery to our clients. - Troubleshoot basic software or hardware problems. - Help to foster a proactive environment of continuous service enhancement and relationship building with the client. - Perform Quality Assurance on own work and/or work of others, as requested. - Adhere to Williams Lea Tag policies, in addition to client policies. - Use equipment and supplies in a cost-efficient manner. Qualifications - High school diploma or equivalent. - 3+ years’ presentation experience preferably in a legal, banking, or large corporate environment. - Advanced skill in the use of MS Office software (Excel, PowerPoint, Visio as examples); strong keyboarding and typing skills. - Adept with other software programs for editing and/or creating documents; specifically, Adobe PDF & Creative Suite (Illustrator, Photoshop as examples). - Strong attention to detail; able to work on multiple projects simultaneously. - Able to apply intermediate to advanced requisite knowledge of appropriate grammar, spelling, composition to work requests. - Must have good organizational skills. - Must be able to meet deadlines and complete all projects in a timely manner. - Ability to handle sensitive and/or confidential documents and information. - Able to exercise good judgment to make decisions that conform to business needs and policy. - Able to troubleshoot more complex or advanced tasks, equipment, or software concerns on own; understands when to escalate a problem to a supervisory level. - Ability to maintain professional composure when working with immediate deadlines. - Ability to work both independently and collaboratively as part of a team. - Ability to work in a fast-paced environment. - Ability to communicate professionally both verbally and in writing. - Must be self-motivated with a positive attitude. - Proven customer service skills are required in order to create, maintain, and enhance customer relationships. Requirements - Position operates at sites with maximum of 24/7 operations. Individual shift requirements will vary by site. - Ability to work overtime as needed. - Work is performed in a professional work environment. - Professional/business casual attire required. - Hazards include working with office machines (computers, peripherals, copiers, faxes, scanners, bindery equipment, paper cutters, paper, toner) and cleaning supplies. - Must be able to work sitting down most of the time. Benefits - Medical, dental, and vision coverage. - Paid time off. - Disability insurance. - 401(k) with company match. - Life insurance and other voluntary supplemental insurance coverages. - Parental leave. - Adoption assistance. - Tuition assistance. - Employer/partner discounts.

Role Description As part of our international AI/ML squad, you’ll craft tailor-made solutions that wow our clients. We’re hunting for a passionate AI Engineer with a solid technical background. Your mission? Train, deploy, and put groundbreaking developments into action — and that’s just the beginning. - You’ll tackle the unique challenges of AI-powered software alongside a team of brilliant minds. - You’ll dive into cutting-edge projects using the latest tech to push boundaries and make an impact. - Whether you prefer working from home or vibing with us at our offices, the choice is yours. - AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check. Ready to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen! 😊 You will be responsible for: - Participating in the design and development of AI solutions for challenging projects. - Building production level ML/AI solutions, with solid software engineering and ML/AI principles. - MLOps Automated deployment and monitoring (models and infrastructure). - Data analysis (data cleaning, variable transformation, etc.). - Developing and training ML/AI models. - Putting AI models into production. This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment. Qualifications - More than 5 years of experience in AI / Machine Learning / Computer Science. - Experience building an “end-to-end software product” which has AI or Machine Learning components. - Experience working with Azure or other cloud-based solutions. - Strong skills in Python and reasonable SQL understanding. - Experience in testing as an essential part of development (unit, integration, etc.). - Knowledge in NLP and Computer Vision. - Hands-on experience across the end-to-end ML lifecycle, from development to production deployment, including designing and building scalable ML pipelines (MLOps experience is very valuable for the team). - Experience using GitHub Copilot or similar AI coding tools in real development workflows. - Constant drive to learn and ability to learn quickly. - Strong team player mindset. - Fluent Spanish (mandatory). Requirements - Very nice to have: - Fluent English (international environment). - Experience with Big Data tools and cloud platforms (especially Azure). - RESTful API development and DevOps practices (docker, CI/CD). - Familiarity with recommendation systems, unsupervised learning, and ranking models. - Cognitive services, Agentic AI... - Knowledge of TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing. - Strong object-oriented programming skills. Benefits - Salary determined by the market and your experience 🤑 - Flexible schedule 35 Hours / Week 😎 - Fully remote work (optional) 🌍 - Flexible compensation (restaurant, transport, and childcare) ✌ - Medical and dental insurance (completely free of charge for the employee) 🚑 - Individual budget for training or equipment and free Microsoft certifications 📚 - English lessons 🗽 - Birthday day off 🌴🥳 - Monthly bonus for electricity and Internet expenses at home 💻 - Discount on gym plan and sports activities 🔝 - Plain Camp (annual team-building event) 🎪 - Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees ➕ The pleasure of always working with the latest technological tools! Company Description Plain Concepts is a global company of over 700 people passionate about technology and innovation. Since our founding, we have grown through technical proficiency and confidence in ideas that others might consider risky, creating custom solutions for our clients. With offices in more than 6 countries, our mission is to continue to drive cutting-edge projects around the world. - We are highly committed to technical excellence. - We are known for developing highly customized projects, offering specialized technical consultancy and training. - Thanks to the great work of our technicians, we have been recognized for our ability to lead innovative projects that generate value, from artificial intelligence to blockchain, driving solutions that help companies optimize their performance.