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senior software engineer - backend

software ai engineer

Teradata

<div>
 
 Our Company:
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 What you will do:
 
 
 
 In this role you will lead a critical and highly visible function within Teradata Vantage platform. You will be given the opportunity to autonomously deliver the technical direction of the service, and the feature roadmap. You will work with extraordinary talent and have the opportunity to shape the team to best execute on the product.
 
 
 
 Job Responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and development of software components that enable autonomous AI agents to reason, plan, act, and learn.
 </li>
 <li>
 Implement features that support agentic capabilities such as tool use, memory, long-term planning, task execution, and self-reflection.
 </li>
 <li>
 Integrate with state-of-the-art LLMs (e. g. , OpenAI, Anthropic) and agent orchestration frameworks (e. g. , LangChain, CrewAI, AutoGen, Flowise).
 </li>
 <li>
 Design and implement integrations with the Model Context Protocol (MCP) to facilitate standardized context sharing and management among AI agents and tools.
 </li>
 <li>
 Develop and maintain interfaces with major Cloud Service Providers (CSPs) &mdash; AWS, Azure, GCP &mdash; to enable scalable deployment, resource provisioning, and cloud-native orchestration of autonomous agent workflows.
 </li>
 <li>
 Write, test, and debug Python or other backend code that powers agent workflows in cloud-native environments.
 </li>
 <li>
 Assist in building interfaces between agents and tools such as APIs, databases, search engines, and user-facing applications.
 </li>
 <li>
 Participate in Agile development workflows &mdash; sprint planning, code reviews, retrospectives &mdash; and collaborate across AI, product, and engineering teams.
 </li>
 <li>
 Work with structured and unstructured data to support context-aware reasoning and decision-making in agents.
 </li>
 <li>
 Contribute to the development of internal testing tools and evaluation methods for autonomous agent behaviors.
 </li>
 <li>
 Support the deployment of agent systems in scalable environments using Kubernetes, Docker, and cloud services (AWS, Azure, or GCP).
 </li>
 <li>
 Maintain documentation of agent capabilities, system design, and integration strategies.
 
 
 </li>
 </ul>
 
 What makes you a qualified candidate:
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience (or strong academic/internship background) in software development with a focus on AI/ML, intelligent systems, or cloud-native applications.
 </li>
 <li>
 Strong interest in Agentic AI &mdash; systems where AI agents can autonomously interpret goals, take actions, and learn from outcomes.
 </li>
 <li>
 Familiarity with one or more programming languages: Python (preferred), Go, Java, or C++.
 </li>
 <li>
 Exposure to LLMs and AI APIs (e. g. , OpenAI, Hugging Face, Claude) and understanding of prompting, embeddings, or vector databases.
 </li>
 <li>
 Basic understanding of how AI agents use tools and memory to solve complex tasks.
 </li>
 <li>
 Experience with RESTful APIs, backend service design, and microservice architectures.
 </li>
 <li>
 Experience with Model Context Protocol (MCP) implementation or integration for managing agent context and state.
 </li>
 <li>
 Familiarity with modern cloud infrastructure (AWS, GCP, or Azure), especially in deploying containerized applications.
 </li>
 <li>
 Ability to write clean, testable code and follow best practices in code reviews and version control.
 </li>
 <li>
 Clear communicator, with a willingness to ask questions, propose ideas, and collaborate across teams.
 </li>
 <li>
 Passion for learning emerging AI techniques and contributing to real-world agentic applications.
 
 
 </li>
 </ul>
 
 What you will bring:
 
 
 
 <ul>
 <li>
 BS degree in Computer Science, Artificial Intelligence, Software Engineering, or related technical field.
 </li>
 <li>
 Strong problem-solving skills and a solid foundation in data structures, algorithms, and object-oriented programming.
 </li>
 <li>
 Experience with cloud tools and platforms (AWS, GCP, Azure), especially Kubernetes and Docker.
 </li>
 <li>
 Exposure to agentic frameworks such as LangChain, AutoGen, CrewAI, or similar tools.
 </li>
 <li>
 Hands-on experience or familiarity with Model Context Protocol (MCP) for agent context management.
 </li>
 <li>
 Hands-on experience or working knowledge of cloud-native deployment and orchestration on CSP platforms.
 </li>
 <li>
 Curiosity and excitement about building intelligent systems that act autonomously and adaptively.
 </li>
 <li>
 A mindset geared toward experimentation, continuous learning, and pushing the boundaries of AI capabilities.
 
 
 
 
 </li>
 </ul>
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Software AI Engineer

<div>
 
 Our Company
 
 
 
 At Teradata, we believe that people thrive when empowered with better information. That&rsquo;s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers&mdash;and our customers&rsquo; customers&mdash;to make better, more confident decisions. The world&rsquo;s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.
 
 
 
 What You'll Do: Shape the Way the World Understands Data
 
 
 
 At Teradata, we're not just managing data; we're unleashing its full potential. Our ClearScape Analytics&trade; platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of
 
 autonomous and agentic systems
 
 
 
 We&rsquo;re building intelligent systems that go far beyond automation &mdash; they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you&rsquo;ll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes.
 
 
 You&rsquo;ll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software &mdash; from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems.
 
 
 If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up.
 
 
 
 Who You'll Work With: Join Forces with the Best
 
 
 
 Imagine collaborating daily with some of the brightest minds in the company &ndash; individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions.
 
 
 You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions.
 
 
 
 What Makes You a Qualified Candidate: Skills in Action
 
 
 
 <ul>
 <li>
 Experience working with modern data platforms like Teradata, Snowflake, and Databricks
 </li>
 <li>
 Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems.
 </li>
 <li>
 You are an excellent backend engineer who codes daily and owns systems end-to-end.
 </li>
 <li>
 Strong engineering background (Python/Java/Golang, API integration, backend frameworks)
 </li>
 <li>
 Strong system design skills and understanding of distributed systems.
 </li>
 <li>
 You&rsquo;re obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed.
 </li>
 <li>
 Hands-on experience with Machine learning &amp; deep learning frameworks: TensorFlow, PyTorch, Scikit-learn
 </li>
 <li>
 Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc. ), and orchestration tools.
 </li>
 <li>
 Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models).
 </li>
 <li>
 Solid understanding of model performance monitoring, drift detection, and responsible AI principles.
 
 
 </li>
 </ul>
 
 What You Bring: Passion and Potential
 
 
 
 <ul>
 <li>
 A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field &ndash; your academic foundation is key.
 </li>
 <li>
 A genuine excitement for AI and large language models (LLMs) is a significant advantage &ndash; you'll be working at the cutting edge!
 </li>
 <li>
 Design, develop, and deploy agentic systems integrated into the data platform.
 </li>
 <li>
 3+ years of experience in software architecture, backend systems, or AI infrastructure.
 </li>
 <li>
 Strong knowledge of LLMs, RL, or cognitive architectures is highly desirable.
 </li>
 <li>
 Passion for building safe, human-aligned autonomous systems.
 </li>
 <li>
 Experience in software development (Python, Go, or Java preferred).
 </li>
 <li>
 Familiarity with backend service development, APIs, and distributed systems.
 </li>
 <li>
 Interest or experience in LLMs, autonomous agents, or AI tooling.
 </li>
 <li>
 Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines.
 </li>
 <li>
 Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models).
 </li>
 <li>
 Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes.
 </li>
 <li>
 Integrate observability tooling (e. g. , OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines.
 </li>
 <li>
 Bonus: Research experience or contributions to open-source agentic frameworks.
 </li>
 <li>
 You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions.
 
 
 
 
 </li>
 </ul>
 
 Why We Think You&rsquo;ll Love Teradata
 
 
 
 We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are.
 
 
 Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. &ZeroWidthSpace; We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status.
</div>

Software Engineer

Freshworks

<div>
 
 Organizations everywhere struggle under the crushing costs and complexities of &ldquo;solutions&rdquo; that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done.
 
 
 
 There&rsquo;s another option. Freshworks. With a fresh vision for how the world works.
 
 
 
 At Freshworks, we build uncomplicated service software that delivers exceptional customer and employee experiences. Our enterprise-grade solutions are powerful, yet easy to use, and quick to deliver results. Our people-first approach to AI eliminates friction, making employees more effective and organizations more productive. Over 72,000 companies, including Bridgestone, New Balance, Nucor, S&amp;P Global, and Sony Music, trust Freshworks&rsquo; customer experience (CX) and employee experience (EX) software to fuel customer loyalty and service efficiency. And, over 4,500 Freshworks employees make this possible, all around the world.
 
 
 
 
 Fresh vision. Real impact. Come build it with us.
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 Overview
 
 
 
 At Freshworks, we don&rsquo;t just ship software&mdash;we shape it to be fast, reliable, and refreshingly simple. As a Senior Backend Engineer, you&rsquo;ll build the scalable systems that drive our global products&mdash;and do it with clarity, ownership, and a sharp eye for design. You&rsquo;ll raise the bar on performance, stability, and code quality.
 
 
 
 
 If you obsess over time and space complexity, love breaking down tough problems, and contribute to overall design&mdash;you&rsquo;ll feel right at home.
 
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Build scalable backend services that handle millions of transactions reliably.
 </li>
 <li>
 Own the full development lifecycle: from high-level design to deployment and debugging.
 </li>
 <li>
 Write clean, modular, and testable code&mdash;optimised for both readability and performance.
 </li>
 <li>
 Apply deep OOPS concepts and design patterns to solve real-world engineering problems.
 </li>
 <li>
 Ensure systems are tuned for high availability, fault tolerance, and observability.
 </li>
 <li>
 Collaborate with cross-functional teams (Product, Frontend, SRE) to deliver customer value fast.
 </li>
 <li>
 Follow engineering best practices and elevate overall code quality.
 </li>
 <li>
 Troubleshoot performance bottlenecks in production and drive long-term stability improvements.
 </li>
 </ul>
 
 
 Requirements
 
 
 
 
 <ul>
 <li>
 Data Structures &amp; Algorithms (DSA): Expertise in selecting optimal data structures and developing efficient, optimized code including time/space complexity trade-offs. Deep knowledge of REST APIs.
 </li>
 <li>
 Problem Solving &amp; Logical Analysis: Ability to clearly articulate thought processes, decompose complex problems, and engineer effective solutions.
 </li>
 <li>
 Object-Oriented Design (OOD): Strong command of OOP principles, designing extensible code, and applying SOLID principles.
 </li>
 <li>
 System Design (High-Level Design - HLD &amp; LLD): Proven ability to contribute to design scalable, highly available, and fault-tolerant end-to-end systems, including APIs, schema, and data models.
 </li>
 <li>
 Exposure to RDBMS, caching strategies, distributed queues, and microservices.
 </li>
 <li>
 Exposure and experience with AI tools and technologies to improve efficiency
 </li>
 <li>
 Ownership &amp; Collaboration: Demonstrates strong ownership, collaborates effectively.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Engineering, or a related technical field.
 </li>
 <li>
 3 to 5 years of experience building and scaling backend systems in fast-paced product teams.
 </li>
 <li>
 You&rsquo;re skilled at balancing fast delivery with long-term scalability.
 </li>
 <li>
 You think clearly in code and architecture diagrams.
 </li>
 <li>
 You&rsquo;ve shipped features at scale and supported them in production.
 </li>
 <li>
 You love working in collaborative, agile teams.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose, and passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions, and ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities, and business.
 
 Fresh vision. Real impact. Come build it with us.
 
 
 
 
</div>

Senior Software Engineer - Backend

Capgemini

<div>
 
 Job Description
 
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.
 
 
 <ul>
 <li>
 Applies scientific methods to analyse and solve software engineering problems.
 </li>
 <li>
 He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.
 </li>
 <li>
 His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.
 </li>
 <li>
 The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.
 </li>
 <li>
 The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 </li>
 </ul>
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
 
 
 Skills (competencies)
 
 
 Verbal Communication
</div>

Uber

<div>
 
 About the Role!
 
 
 
 We are looking for someone passionate about using technology to solve big business problems and who is hungry to make a difference. You have created software that can scale and handle complex interchange of data and computation between multiple geographical locations. You are excellent at fundamentals, have a phenomenal willingness to learn, and have a steadfast desire to follow through with the job. Someone with a passion for architecting, building, and scaling highly available, mission-critical systems that support millions of users every day.
 
 
 This is a unique opportunity for an experienced engineer who is collaborative, has a healthy sense of curiosity, and acts with responsibility to join Uber, work with like-minded people across the board, and help improve our next-generation FinTech platforms and scale them to the next level.
 
 
 ---- What the Candidate Will Do ----
 
 
 <ul>
 <li>
 Design, develop, and deploy systems/platforms/algorithms to solve complex business problems and improve product performance
 </li>
 <li>
 Collaborate with applied/data scientists, software engineers, and product managers to understand requirements, define project goals, and deliver high-quality solutions
 </li>
 <li>
 Deliver and review technical design, code and documentation
 </li>
 <li>
 Drive ongoing efficiency and reliability improvements through design and automation: availability, performance, scaling, monitoring and capacity.
 </li>
 <li>
 Tackle sophisticated technical challenges involving multiple technology stacks
 </li>
 <li>
 Mentor and support your interns/fellow team members
 </li>
 <li>
 Collaborate with cross-functional teams to drive best practices in data management, data quality, and service deployment
 </li>
 <li>
 Stay informed about industry trends, emerging technologies, and advancements in software engineering
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 A Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
 </li>
 <li>
 2+ years of experience in professional software development experience, developing and deploying systems in production environments
 </li>
 <li>
 Experience in developer tooling or developer productivity spaces
 </li>
 <li>
 Knowledge of different compilation steps (and ability to fix) in languages such as Go, C, C++, or Java.
 </li>
 <li>
 Experience using metrics to measure and improve developer experience.
 </li>
 <li>
 Ability to leverage AI tools such as Cursor &amp; Co-pilots to quickly and effectively author and deliver code.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's or Ph.D. degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field
 </li>
 <li>
 Experience building and iterating on code review (Phabricator, GitHub), automation test infrastructure (unit, integration, E2E), and build systems (Bazel / buck)
 </li>
 <li>
 Strong knowledge of backend development, distributed systems
 </li>
 <li>
 Strong motivation to grow and continuously develop new skills
 </li>
 <li>
 Excellent communication skills and the ability to collaborate effectively with cross-functional teams
 </li>
 <li>
 Strong analytical and problem-solving skills are necessary to tackle complex challenges
 </li>
 </ul>
</div>

Software Engineer II

PepsiCo

<div>
 
 
 Overview
 
 
 
 We are seeking a highly skilled and proactive AI Solutions SRE Lead to oversee the maintenance, optimization, and ongoing performance of deployed AI/ML systems and solutions. In this role, you'll act as the bridge between innovation and operations, ensuring our AI solutions consistently deliver value and operate seamlessly in real-world environments. You will lead efforts to monitor deployments, troubleshoot issues, and define best practices for sustaining AI systems throughout their lifecycle.
 
 
 
 
 
 
 Responsibilities
 
 
 
 Monitoring &amp; Sustenance:
 
 <ul>
 <li>
 Lead the post-deployment lifecycle of AI solutions, ensuring continued functionality, reliability, and scalability.
 </li>
 <li>
 Establish monitoring frameworks to oversee system performance, usage, and metrics for AI/ML models and APIs.
 </li>
 <li>
 Detect anomalies in AI systems, troubleshoot operational issues, and initiate timely corrective actions.
 </li>
 </ul>
 
 Performance Optimization:
 
 <ul>
 <li>
 Continuously assess and optimize the performance of AI models to maintain efficiency and accuracy in production environments.
 </li>
 <li>
 Collaborate with data scientists and engineers to refine algorithms, retrain models, and update solutions as needed.
 </li>
 <li>
 Implement automation where possible to streamline maintenance processes.
 </li>
 </ul>
 
 Stakeholder Collaboration:
 
 <ul>
 <li>
 Work with cross-functional teams (engineering, product, operations, etc.) to ensure alignment of AI sustainment activities with business goals.
 </li>
 <li>
 Communicate effectively with stakeholders to provide updates on system health, risks, and improvements.
 </li>
 </ul>
 
 Governance &amp; Best Practices:
 
 <ul>
 <li>
 Define and implement best practices for sustaining AI solutions, including documentation, testing protocols, and version control.
 </li>
 <li>
 Ensure compliance with ethical AI standards, regulatory guidelines, and established governance frameworks.
 </li>
 <li>
 Manage and mitigate risks associated with model drift, data shifts, and system vulnerabilities.
 </li>
 </ul>
 
 Incident Management:
 
 <ul>
 <li>
 Lead responses to critical incidents involving AI systems by performing root cause analysis and deploying solutions for quick resolution.
 </li>
 <li>
 Advocate for proactive risk prevention and early detection strategies.
 </li>
 <li>
 Mentor and develop junior team members, fostering their skills in AI observability and domain-specific knowledge in ML, Computer Vision, and Generative AI.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 Required:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Data Science, or related field; advanced degree preferred.
 </li>
 <li>
 9+ years of experience in machine learning, data science, or software engineering roles, with significant exposure to Computer Vision and Generative AI projects.
 </li>
 <li>
 4+ years of experience specifically focused on AI/ML development and sustain the applications / solutions.
 </li>
 <li>
 Strong programming skills in languages such as Python, Java, or Go.
 </li>
 <li>
 Extensive experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and cloud platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Proficiency in data visualization tools and techniques (e.g., Grafana, Tableau, D3.js).
 </li>
 <li>
 Deep understanding of AI/ML concepts, including model training, evaluation, and deployment, with specific knowledge of Computer Vision and Generative AI techniques.
 </li>
 <li>
 Experience with monitoring and observability tools such as Prometheus, ELK stack, or similar systems.
 </li>
 <li>
 Excellent problem-solving skills and ability to troubleshoot complex AI systems across various domains.
 </li>
 <li>
 Proven track record of mentoring and developing junior team members in AI-related roles.
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 <ul>
 <li>
 Experience with MLOps practices and tools, particularly for large-scale AI systems.
 </li>
 <li>
 Familiarity with AI ethics and responsible AI principles, especially as they relate to Generative AI.
 </li>
 <li>
 Knowledge of relevant AI regulations and compliance requirements, including those specific to Computer Vision applications.
 </li>
 <li>
 Experience with distributed systems and large-scale data processing for AI applications.
 </li>
 <li>
 Contributions to open-source projects or research publications in AI solution at production scale. Previous experience with large-scale AI/ML solutions in production environments.
 </li>
 <li>
 Knowledge of DevOps principles and CI/CD pipelines specific to AI/ML systems.
 </li>
 </ul>
 
 
 
 
 
 Key Competencies
 
 
 <ul>
 <li>
 Strong analytical and critical thinking skills
 </li>
 <li>
 Excellent communication and collaboration abilities
 </li>
 <li>
 Proactive and self-motivated work ethic
 </li>
 <li>
 Ability to explain complex technical concepts to both technical and non-technical audiences
 </li>
 <li>
 Adaptability and willingness to learn in a rapidly evolving field
 </li>
 <li>
 Strong mentorship and leadership skills
 </li>
 <li>
 Deep curiosity and passion for AI, particularly in ML, Computer Vision, and Generative AI domains
 </li>
 <li>
 We are looking for a passionate and innovative individual who can help us build robust, transparent, and reliable AI systems while nurturing the growth of our team. If you have a strong background in AI/ML, with specific expertise in Computer Vision and Generative AI, and a keen interest in observability and system reliability, we encourage you to apply.
 </li>
 </ul>
 
 
</div>

AI Associate Manager

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 Job Description: EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
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 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
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 Requirements:
 
 
 
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 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
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 Minimum 3-7 years of experience in Data Science and Machine Learning.
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 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
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 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
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 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
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 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
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 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
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 Expertise in data engineering, including data curation, cleaning, and preprocessing.
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 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
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 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
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 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
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 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
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 Understanding of data privacy, security, and ethical considerations in AI applications.
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 Track record of d Tue, 18 11 2025 00:00:00 GMT Tech Risk IT Auditor (English Speaker) - Senior - EY GDS Spain - Hybrid* https://careers.ey.com/ey/job/Malaga-Tech-Risk-IT-Auditor-%28English-Speaker%29-Senior-EY-GDS-Spain-Hybrid-29590/1268610701/?feedId=337401&amp;utm_source=LinkedInJobPostings&amp;utm_campaign=j2w_linkedin EY Malaga ES 29590 Malaga, ES, 29590 Malaga, ES, 29590 Technology Risk Senior 1595992-en_US 3785899 Senior IT Auditor
 
 
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 Our Risk Consulting &ndash; Technology Risk team support to the Financial Audit in account analysis of applications, systems and IT solutions, in order to evaluate and recommend improvements in the IT ecosystem to cover the risks associated with IT environment.
 
 
 
 The opportunity
 
 
 
 As a member of our team in GDS office in Malaga, Spain, you&rsquo;ll have a chance to extend your knowledge &amp; experience by working on the most interesting projects with the newest technologies and approaches. You&rsquo;ll support clients in choosing the most suitable business solution and take part in digital transformation.
 
 
 
 Your Key Responsibilities
 
 
 
 As a Senior IT Auditor you will contribute technically to Risk Assurance client projects and internal projects. An important part of your role will be to actively establish, maintain and strengthen internal and external relationships. You will also identify potential business opportunities and risks within projects and share any issues with senior members of the team. In line with EY GDS commitment to quality, you will perform high quality work.
 
 
 Assisting in IT application security assessments (IT Application Controls, IT General Controls, Segregation of duties analysis).
 
 
 Defining and performing IT Audit procedures to assess the operative level of the controls environment.
 
 
 Performing IT testing at least for some of the following technologies and/or areas: ERP SAP, Oracle or MS-Dynamics, Cloud Security, Database Security Audits, SOx audits, Process Automation, IT Asset Management, Software License Reviews, GDPR, ISAE3402, ISO2700 and others.
 
 
 
 Skills And Attributes For Success
 
 
 
 This position requires a real team player with solid communication skills. Furthermore, you are energetic, and you can handle new situations well.
 
 
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 3-6 years of experience in business analysis, reporting, risk management, finance, IT audit
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 Experiences and competency in IT Audit, control and/or Software Quality Assurance
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 High standard of integrity and confidentiality
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 Highly developed analytical and problem-solving skills
 
 
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 To qualify for the role, you must have
 
 
 
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 Bachelor&rsquo;s degree in Finance/Computer Science or similar major.
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 Good organizational and analytical skills.
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 Good command of MS Office Suite (Excel, Power Point, Word, Outlook etc.)
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 Good command of ETL data working with Database
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 Data oriented and data analytics knowledge
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 Fluent in English.
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 Fluent in Spanish or other European language.
 
 
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 Ideally, you&rsquo;ll also have
 
 
 
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 Fluent in Spanish, German, French, Dutch, Portuguese and/or Italian is a plus.
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 Experience in international environments.
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 Knowledge and/or experiences in projects that use SAP.
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 ITIL or SQA or IT audit certifications
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 Competence in Customer Experience.
 
 
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 What We Look For
 
 
 
 We are interested in hiring a proactive professional who will work effectively as an international team member, sharing responsibility, providing support, maintaining communication and updating senior team members on the progress and relevant matters. As an ideal candidate, you shall have a personal drive and positive work ethic to deliver results within tight deadlines and in demanding situations.
 
 
 
 What We Offer
 
 
 
 
 EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across eight locations &ndash; Argentina, China, India, Philippines, Poland, UK, Hungary and Spain &ndash; and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We&rsquo;ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.
 
 
 
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 Continuous learning: You&rsquo;ll develop the mindset and skills to navigate whatever comes next.
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 Success as defined by you: We&rsquo;ll provide the tools and flexibility, so you can make a meaningful impact, your way.
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 Transformative leadership: We&rsquo;ll give you the insights, coaching and confidence to be the leader the world needs.
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 Diverse and inclusive culture: You&rsquo;ll be embraced for who you are and empowered to use your voice to help others find theirs.
 
 
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 About EY
 
 
 
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
 
 
 
 If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
 
 
 
 
 The Exceptional EY Experience. It&rsquo;s Yours To Build.
 
 
 
 
 Senior IT Auditor
 
 
 
 Our Risk Consulting &ndash; Technology Risk team support to the Financial Audit in account analysis of applications, systems and IT solutions, in order to evaluate and recommend improvements in the IT ecosystem to cover the risks associated with IT environment.
 
 
 
 The opportunity
 
 
 
 As a member of our team in GDS office in Malaga, Spain, you&rsquo;ll have a chance to extend your knowledge &amp; experience by working on the most interesting projects with the newest technologies and approaches. You&rsquo;ll support clients in choosing the most suitable business solution and take part in digital transformation.
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EY - GDS Consulting - AI and DATA -Gen AI - Senior

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EY - GDS Consulting - AI and DATA -Gen AI - Senior