Professional Services Intern Jobs

We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer. The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time performance visualization tools and analyses. Key Responsibilities: 1. Trading Operations and Performance Analysis with AI Manage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports. Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers. Use AI tools to build reporting and analyses on trading performance and perform adhoc business analytics 2. Risk Monitoring & Control Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks. Develop and maintain sophisticated risk reporting dashboards for the desk. Requirements & Qualifications: Experience: 3+ years i

KJUS is dedicated to amplifying the world's most exhilarating golf and ski experiences. We achieve this through miraculous technology that goes beyond innovation, setting entirely new standards for performance, comfort, and protection. Our shared passion for golf and ski drives us to create incredible products that empower our loyal customers to fully enjoy their passions. For us, it’s not just a job—it’s a joyful obsession. As a result, KJUS products are found in the most remarkable ski and golf destinations worldwide. The KJUS headquarters are in Boulder, Colorado, with satellite offices in Switzerland and Scotland. Our showrooms can be found worldwide. In 2019, Acushnet Company partnered with KJUS, joining our brand with other fantastic labels like Titleist, FootJoy, Scotty Cameron, and Vokey . What You Will Be Doing The People and Business Operations Specialist will report directly to the President and serve as a versatile, professional resource supporting the day-to-day needs of the KJUS organization across people coordination, business administration, and operations. The ideal candidate is highly organized, proactive, and eager to develop broad business acumen. They will take ownership of responsibilities, manage competing priorities effectively, and bring a high level of professionalism and attention-to-detail to their work. This role serves as an important resource to the President, helping ensure people processes, office operations, and organizational priorities are coordinated efficiently and effectively. The position will work closely with KJUS leadership and connect with Acushnet (our parent company) resources as needed while developing a broad understanding of how a growing global business operates. Key Responsibilities: People Operations <

Job Summary The Manufacturing Systems Engineer I is an entry-level professional responsible for supporting the implementation, maintenance, and continuous improvement of digital manufacturing systems that connect production operations, industrial equipment, and enterprise platforms. Working under the guidance of experienced engineers and leadership, this role applies foundational engineering knowledge to support manufacturing system performance, equipment connectivity, data collection, and operational reporting. The incumbent performs routine to moderately complex assignments using established processes, practices, and technical standards while developing proficiency in manufacturing systems, industrial automation, and digital technologies. Responsibilities include assisting with system troubleshooting, testing, documentation, data analysis, and continuous improvement initiatives that enhance operational visibility, reliability, and efficiency. This position collaborates with manufacturing, engineering, quality, supply chain, and IT stakeholders to support day-to-day system operations and project execution. The Manufacturing Systems Engineer I exercises judgment within defined procedures, receives guidance on complex issues, and contributes to team objectives through effective problem-solving, learning agility, and continuous skill development. Success in this role is demonstrated through the ability to build technical expertise, execute assigned work with increasing independence, and contribute to the advancement of digital manufacturing capabilities across the organization. Key Responsibilities Assist in the configuration, maintenance, and support of digital manufacturing systems connecting production equipment and enterprise platforms. Support the implementation and sustainment of IIoT, MES, SCADA, and plant-level data collection systems under the direction of senior engineers. Monitor manufacturing system performance and report identified issues, tre

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns the quality of the models at the core of Sapience AI. You define, lead, and perform the training, reinforcement, and evaluation that turn open-weight foundation models into systems that reason well over a community’s knowledge and earn members’ trust. You work where research, data, and engineering meet: training and fine-tuning open model weights, reinforcing them toward the behavior communities need, and holding a rigorous evaluation bar that says, with evidence, whether a model is good enough to ship. Your work feeds directly into the COGENT architecture and the MINERVA platform. You are both a leader and a practitioner. You set the standard for what model quality means at Sapience AI, and you do the hands-on training, reinforcement, and evaluation that meet it. Why this role exists Collective intelligence is only as trustworthy as the models beneath it. If a model reasons poorly, drifts from the truth, or cannot be evaluated honestly, every system built on it inherits that weakness, and the trust communities place in the platform erodes. Training and reinforcing open-weight models well is a discipline in its own right: choosing the r

Responsible for working closely with all Junior golf players to ensure their usage of TaylorMade product on a regular basis, increasing the level of usage and servicing the AJGA/College. Also, identify and recruiting future players currently playing at junior, college and amateur levels. Key to role is to impact and expand spheres of influence in the AJGA segment. Expand usage of TaylorMade product, with specific focus on TM Driver usage, TM Irons, TM Putter and TM golf ball. Essential Functions and Key Responsibilities: Maximize the amount of TaylorMade equipment in play by executing in alignment with strategy across product categories of golf ball, driver, metalwood and irons. Focusing recruiting efforts on Junior All-Star level of AJGA, US Kids and other local elite events. Develop productive relationships with players within the Junior/AJGA levels, through building trust and establishment of product and fitting expertise Responsible for seeking out players that have potential to play TaylorMade equipment, then working with them and prescribing clubs and golf ball to fit their needs Work closely with superior to assure the satisfaction of goals and objectives in junior and college developmental area(s) Effectively communicate to superior and team members important information relating to but not limited to a specific player, TM equipment, competitors equipment or programs etc. Represent company at the highest levels at all times to the player, their family, agent or teacher. Performs other related duties and assignments as required. Education, Training, Professional Certification and Work Experience: High school diploma or equivalent; Bachelor’s Degree preferred. College Golf Experience preferred 3&#43; years general golf industry experience including direct interaction with golf professionals and top amateur

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns how Sapience AI serves intelligence at scale. You build and run the inference infrastructure that turns the models and reasoning behind MINERVA and COGENT into fast, reliable, affordable answers for members. You work where models meet production: serving, scaling, latency, and cost. Every time a member asks the platform something, your systems are what make the answer arrive quickly and hold up under load. You sit close to applied AI, research, and platform engineering, and you make the difference between a model that works in a notebook and one that serves a community reliably. Why this role exists Collective intelligence is only useful if it is fast and dependable. Members will not wait, and communities cannot rely on a platform that buckles under load or costs too much to run. Serving modern AI at scale is a hard systems problem: large models, tight latency budgets, expensive hardware, and demand that spikes. It takes real infrastructure engineering to get right. The AI/ML Infrastructure and Systems Engineer owns that problem. You make inference fast, reliable, and affordable, so the intelligence the platform promises actually reache

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. As a Datacenter Liquid Cooling Architect, you will define, design, and architect next-generation liquid cooling infrastructure for Tenstorrent’s large-scale AI training and inference clusters. You will partner with systems engineering, mechanical engineering, software, and cross-functional design teams to develop chassis-, rack-, and cluster-scale cooling solutions, including CDU integration, telemetry and control, leak detection, and resilient operating strategies. This role will help shape reliable AI datacenter architectures and deployments for both internal and external customers. This role is on-site, based out of Toronto, Canada, Austin, Texas or Santa Clara, California. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A datacenter and system thermal design professional with 10+ years of experience architecting cooling infrastructure for complex computing environments. An experienced liquid cooling architect who can design chassis- and rack-scale solutions for large AI training and inference clusters. A systems thinker who understands how mechanical, electrical, software, facility, and systems engineering decisions come toge

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns a product area end to end. Where the product marketer is the market lens, you are the person accountable for what we build, how it works, and whether it ships and succeeds. You lead a cross-functional team of engineers, designers, and applied AI specialists to turn strategy into a product members rely on. You own the roadmap for your area, the decisions inside it, and the outcomes it produces. You work at the center of the product organization, translating a clear point of view into shipped work that moves MINERVA and the COGENT architecture forward through each GR/GA milestone. Why this role exists In an AI market where capabilities can be copied in weeks, the advantage goes to teams that decide well and ship fast. Someone has to hold the point of view, make the calls, and keep a team building the right thing. Collective intelligence is hard product work: reasoning over messy knowledge, earning member trust, and fitting into how communities already operate. It needs an owner who can hold both the ambition and the details. The Senior Product Manager is that owner. You set direction for your area, make the hard prioritization calls, and are accountable fo

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role builds the structured knowledge that collective intelligence reasons over. You own the KO (knowledge object) graph: the layer that turns a community’s scattered expertise into connected, queryable knowledge the COGENT architecture can use. You work where messy real-world data becomes trustworthy structure: ingesting, resolving, connecting, and modeling knowledge so reasoning has something solid to stand on. You partner closely with neuro-symbolic AI and applied AI, and you are the reason the platform can answer questions that span a community’s knowledge instead of isolated documents. Why this role exists Language models are fluent, but fluency is not knowledge. To reason over a community’s expertise with rigor, the platform needs that expertise structured, connected, and trustworthy, not just retrieved as text. Building a knowledge graph from real, fragmented sources is hard: entities to resolve, relationships to infer, quality to enforce, and provenance to preserve. The graph is only as good as the engineering behind it. The AI/ML Data and KO Graph Engineer builds that foundation. You turn scattered knowledge into a graph the COGENT architecture can reason

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This is a research role focused on the models at the foundation of collective intelligence. You study, adapt, and advance the foundational models that power how Sapience AI understands language, knowledge, and reasoning. You work where research meets the platform: designing experiments, evaluating models, adapting them to the demands of professional communities, and feeding what you learn into the COGENT architecture and MINERVA. You bring scientific rigor to a fast-moving field, and you turn that rigor into advances the product can actually use. Why this role exists The quality of collective intelligence depends on the models beneath it. How well the platform understands a community’s language, grounds its answers, and reasons over knowledge starts with foundational model work done well. The field moves quickly, and not every advance is real or ready. Someone has to separate genuine progress from noise and turn the real advances into something the platform can rely on. The Foundational Model Research Data Scientist does that. You run the experiments, evaluate honestly, and translate frontier progress into dependable capability for Sapience AI. What y

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This is the most senior individual-contributor architecture role at Sapience AI. You own how the whole system fits together: how the KO graph, the COGENT architecture, the models, the serving layer, and the product surface combine into one coherent, scalable, trustworthy platform. You work across every part of the stack, setting the architectural direction that lets specialized teams build fast without the system pulling apart at the seams. You are a force multiplier: not the owner of one area, but the person who makes sure all the areas add up to a platform that can carry Sapience AI’s ambitions for years. Why this role exists Collective intelligence spans hard subsystems: knowledge, reasoning, models, serving, and experience. Each can be strong on its own and still fail as a whole if the architecture does not hold together. As the platform and the team grow, the cost of architectural drift compounds. Someone has to own the coherence of the system, the big technical bets, and the seams between teams. The Principal AI Systems Architect owns that. You set cross-cutting direction, make the hard architectural calls, and keep MINERVA and COGENT coherent, scalable, and trus

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns the heart of how Sapience AI reasons. You lead the neuro-symbolic approach that combines symbolic knowledge, structure, and rules with neural and language-model capability, the approach that lets the platform reason over a community’s expertise with both flexibility and rigor. You own the direction of the COGENT architecture: how it fuses the KO (knowledge object) graph and symbolic reasoning with neural models, how it stays trustworthy and explainable, and how it advances over time. You lead a specialized team and partner across research, applied AI, and knowledge graph engineering to turn a hard idea into a working system at the center of MINERVA. Why this role exists Pure neural systems are fluent but can be confidently wrong, and they struggle to explain themselves. Professional communities cannot act on answers they cannot trust or trace. Collective intelligence needs reasoning that is both flexible and grounded. Bringing symbolic structure and neural capability together is one of the hardest and most valuable problems in applied AI. It is also the core of what makes Sapience AI different. The Head of Neuro-Symbolic AI owns that problem. You set the

About Sapience AI Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This is the senior-most engineering role at Sapience AI. You own the technology, the architecture, and the engineering organization that build the collective intelligence platform. You are accountable for MINERVA and the COGENT architecture: how they are designed, how they scale, how they stay trustworthy, and how quickly the organization can ship. You set technical direction and build the team that delivers on it. You sit on the executive team, translating company strategy into technical strategy and back, and making the calls that determine whether Sapience AI can build what it has promised. Why this role exists Collective intelligence at the scale of professional communities is a hard systems problem: reasoning over messy knowledge, earning trust, protecting sensitive data, and doing it reliably. Someone has to own whether the technology can actually deliver on the vision. In an AI market moving this fast, the durable advantage is an engineering organization that learns and ships faster than the field, on an architecture that can carry the next several years. The Head of Engineering supplies that. You own the technical strategy, the architecture, t

We are looking for a proactive Business Development & EXIM professional to support domestic and international business growth for Adani Defence & Aerospace. The role will focus on identifying new business opportunities, managing export-import processes, coordinating with global partners, and supporting government and defence-related projects. Source: Adani Group | Job ID: 58403

Join Delphi - Where Innovation meets transformation At Delphi, we believe in creating an environment where our people thrive. Our hybrid work model empowers you to choose where you work—whether it's from the office, your home, or a mix of both—so you can prioritize what matters most. We are committed to supporting your personal goals, family, and overall well-being while driving transformative results for our clients. We welcome exceptional talent from anywhere across the globe. Interviews and onboarding are conducted virtually, reflecting our digital-first mindset. Rooted in the region, we specialize in delivering tailored, impactful solutions in Data, Advanced Analytics and AI, Infrastructure, Cloud Security, and Application Modernization. Whether it’s enabling predictive analytics , transforming operations with automation, or driving customer engagement with intelligent platforms, we are the trusted partner for organizations ready to embrace a smarter, more efficient future. Delphi Consulting is seeking a client-focused AI Adoption and Change Management Consultant to lead and support the people, process, and organizational dimensions of AI-enabled transformation programs. The role will focus particularly on Microsoft Copilot and related AI, automation, low-code, pro-code, and digital workplace solutions. The consultant will work directly with government entities, public-sector organizations, and enterprise clients in the UAE to assess readiness, engage stakeholders, identify adoption barriers, develop change and adoption strategies, design role-based learning programs, and drive sustained usage of implemented solutions. This is a mid-level consulting position for a professional with approximately five years of relevant experience. The successful candidate must be comfortable engaging with senior leaders, business users, technical teams, human resources, communications, learning and development functions, and end-user communities.