• Provide personalized support by addressing learner questions related to course content and projects • Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with. • For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners. • For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects. • Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

Title: AI Solution Consultant Locations: New York, Chicago, Detroit, Los Angeles time type Full time hybrid job requisition id R1121826 Job Description: This person will serve at the intersection of technical excellence and client partnership: delivering AI-powered solutions, helping clients understand what's possible, and shaping how our practice evolves as technology does. What You'll Do Client Engagement & Consulting - Partner with clients to understand their business processes, pain points, and strategic goals - translating those into actionable AI solution designs. - Support discovery sessions, workshops, and working sessions with stakeholders at varying levels of technical fluency. - Communicate AI capabilities and limitations clearly, helping clients set realistic expectations and build confidence in new approaches. - Become a trusted advisor - not just a vendor - for the clients you work with. Solution Design & Development - Build and deploy AI solutions across internal tooling and client-facing projects, from MVPs to production-grade systems. - Architect and implement agentic workflows - designing systems where AI models reason, plan, and act autonomously or semi-autonomously across multi-step tasks. - Identify opportunities to augment or replace manual processes with intelligent automation, including LLM pipelines, RAG systems, tool-use agents, and orchestration layers. - Iterate on existing solutions based on usage data, client feedback, and the evolving capabilities of the underlying models. Forward-Looking Practice Development - Stay at the leading edge of AI research and tooling - evaluating new models, frameworks, and paradigms as they emerge, in compliance with Merkle standards. - Translate emerging capabilities into concrete recommendations for clients and internal teams: what's ready now, what's worth watching, and what's overhyped. - Contribute to internal knowledge-sharing, documentation, and the development of reusable patterns and accelerators. What We're Looking For Technical Skills - Proficiency in Python and experience building with LLM APIs (OpenAI, Anthropic, etc.) - Hands-on experience with agentic frameworks - Comfort working across the full development lifecycle: scoping, building, testing, deploying, and iterating - Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern deployment practices Consulting & Communication Skills - Ability to present ideas clearly to both technical and non-technical audiences - Strong written communication - Comfortable with ambiguity: you can structure a fuzzy problem, propose a direction, and build toward it - Client empathy - you listen before you prescribe and know when to push back constructively Mindset - Curiosity-driven: you follow what's new in AI not because you have to, but because you genuinely want to know - Ownership mentality: you treat client problems like your own and see things through - Collaborative: you make the people around you better and enjoy figuring things out as a team - Adaptable: you're comfortable operating at different altitudes - strategic thinking one day, hands-on debugging the next At dentsu, we believe great work happens when we're connected. Our hybrid way of working combines remote flexibility with regular in-person collaboration to spark ideas and strengthen our teams. Many of our employees who live within commuting distance (90 minutes) from one of our Headquarter or Hub Offices (New York, Chicago, Detroit, Los Angeles) are required to work in the office 2-3 days per week including one Team Day. The minimum number of days may vary by office and role. Dentsu may designate other HQ or Hub offices at any time. Those who do not live near an office may be designated as a remote employee, depending on the role and business needs. Regardless of your work location, we expect you to be flexible to meet the needs of our Company and clients, which may include attendance in an office from time to time. The annual salary range for this position is $51,000 - $83,088. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Benefits available with this position include: - Medical, vision, and dental insurance, - Life insurance, - Short-term and long-term disability insurance, - 401k, - Flexible paid time off, - At least 15 paid holidays per year, - Paid sick and safe leave, and - Paid parental leave. Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. #LI-hybrid #LI-JH2 #LI-remote Location: Chicago Brand: Merkle Time Type: Full time Contract Type: Permanent Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us,

Title: Associate Principal AI Scientist Location: Durham United States Job Description: Full time job requisition id R-250533 Are you a driven Data Scientist with a robust foundation in traditional data science methods and a passion for Agentic AI, and human-in-the-loop (HITL) multi-agent systems? If so, an exciting opportunity awaits you at AstraZeneca! We are looking for Associate Principal AI Data Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments. PT&D leads the charge in developing cutting-edge synthetic routes, drug formulations and delivery technologies, ensuring our products are effective, safe, and of the highest quality. Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems. We are hiring two candidates for this position, and the roles will be based at our dynamic site in Durham (USA). Work Modality: Hybrid (3 days office and 2 remote) Accountabilities: - Drive innovation in agentic AI, multi-agent systems, and digital twins, exploring new methodologies and applications. - Design, implement, and optimize algorithms for autonomous decision-making, coordination, and policy learning among agents and digital twins using techniques like Markov Decision Processes (MDPs), Partially Observable MDPs (POMDPs), and multi-agent reinforcement learning (MARL). - Evaluate agent performance in the context of decision making, collaboration, competition, uncertainty. - Collaborate with cross-functional teams ensuring knowledge transfer to IT engineering teams for IT solution builds and deployment. - Keep pace with industry advancements by reviewing academic papers and attending conferences. Publish findings in peer-reviewed journals and represent the company at scientific forums. - Communicate technical concepts and results to technical and non-technical audiences. Essential skills/Experience: - Min Bachelor´s degree in computer science, data science, artificial intelligence, machine learning or related fields. - At least 3 years of experience in Deep Learning and ML - Excellent coding skills in languages such as Python, R. - Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning. - Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch, - Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI - Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines. - Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI. Desirable skills/experience: - Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application. - Strong publication record in the field of AI. - Experience designing multi-agent systems in the pharmaceutical sector. - Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry. - Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world. AstraZeneca is a place where change is embraced, and new solutions are trialed with patients and business in mind. Here, technology is a key lever for delivering medicines quickly, affordably, and sustainably. Our diverse workforce is united by curiosity, sharing learnings to scale fast. Be part of a digitally-enabled environment that impacts all parts of the business—from robotic process automation to machine learning for quality batches—while contributing to society and the planet. Ready to make a difference? Apply now to join our team! Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

• Lead enterprise Voice AI deployments end-to-end • Optimize containment, CSAT, and task success rates • Integrate Voice AI into Five9 or similar CCaaS platforms • Design conversation flows, prompts, and fallback logic • Improve QA, evals, and conversation performance metrics • Support compliant outbound Voice AI operations • Partner directly with executive leadership on roadmap priorities