genai engineer

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 We are seeking a Generative AI Engineer to design and build intelligent systems using state-of-the-art generative models. You will work on developing applications powered by large language models (LLMs), diffusion models, and other generative techniques to solve real-world problems across domains like content generation, automation, and personalization.
 
 
 
 
 <ul>
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 Role: GenAI Engineer
 
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 Job Location: Bengaluru
 
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 Experience: 4+ Years
 
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 Job Type: Full Time Employment
 
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 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
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 Design, develop, and implement AI-based automation tools for SRE Incident Management.
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 Good experience working with OpenAI or other LLM models with understanding of prompting, tool calling, etc.
 </li>
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 Utilize LLMs to analyze logs and events for generating insights and automating processes.
 </li>
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 Work with data parsing, chunking, and embedding to enhance the understanding and applicability of data.
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 Collaborate with cross-functional teams to integrate AI solutions into existing systems.
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 Stay updated with the latest advancements in AI technologies, particularly relating to LLMs and agentic AI.
 </li>
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 Develop core logic, APIs, and use cases using Python.
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 Leverage frameworks such as Langchain, Crewai, or other agentic AI frameworks for developing AI applications.
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 Provide support and guidance to junior developers within the team.
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 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
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 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, or related field
 </li>
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 4+ years of experience in machine learning or AI development
 </li>
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 Hands-on experience with LLMs and generative models (e.g., Hugging Face Transformers, LangChain, OpenAI APIs)
 </li>
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 Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow)
 </li>
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 Understanding of NLP, deep learning, and transformer architectures
 </li>
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 Experience with data preprocessing, model evaluation, and prompt optimization
 </li>
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 Familiarity with version control (Git) and collaborative development tools
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
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 Competitive salary and benefits package
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 Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications
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 Opportunity to work with cutting-edge technologies
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 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
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 Annual health check-ups
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 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
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 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
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 We support hybrid work and flexible hours to fit diverse lifestyles.
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 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
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 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
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 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

GenAI Engineer

<div>Company Profile: 
 
At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we&rsquo;re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. 
This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. 
 
Job Title: GenAI Solution Architect / Lead GenAI Engineer 
Position: Lead Analyst 
Experience: 6 Plus 
Category: Software Development 
Main location: Bangalore 
Position ID: J1025-1909 
Employment Type: Full Time
Your future duties and responsibilities
Job Summary: 
We are seeking a highly skilled and innovative GenAI Solution Architect / Lead AI Engineer to design, develop, and optimize Generative AI applications and system architectures. The ideal candidate will have extensive experience in Python, Azure Cloud services, and LLM frameworks (such as vLLM). This role requires a strong foundation in system design, performance optimization (throttling, queuing, refactoring), and the ability to architect scalable AI solutions that deliver real-world business impact. 
 
Key Responsibilities: 
 
Architecture &amp; Design 
 
. Design and implement end-to-end GenAI solutions using Azure OpenAI Services, Azure Machine Learning, and related Azure AI offerings. 
. Create scalable and modular architectures for Generative AI systems, integrating LLMs and prompt orchestration frameworks (e.g., LangChain, Semantic Kernel). 
. Define system design patterns and ensure alignment with performance, reliability, and security standards. 
. Develop and maintain reference architectures and best practices for GenAI solution design and deployment. 
 
Development &amp; Implementation 
 
. Build, fine-tune, and deploy LLM-based applications using frameworks such as vLLM, Hugging Face Transformers, or PyTorch. 
. Implement throttling, caching, and queuing mechanisms to optimize performance and manage compute resource utilization. 
. Lead code refactoring and optimization efforts to enhance efficiency, maintainability, and scalability. 
. Integrate APIs, data pipelines, and vector databases (e.g., FAISS, Pinecone, Azure Cognitive Search) into GenAI workflows. 
 
Collaboration &amp; Mentorship 
 
. Collaborate with data scientists, cloud engineers, and product teams to translate business problems into GenAI-driven solutions. 
. Mentor junior developers on AI application design, coding standards, and architecture principles. 
. Participate in code reviews, solution walkthroughs, and performance tuning sessions. 
 
 
Required Skills &amp; Experience: 
 
Technical Expertise 
 
. Strong proficiency in Python with hands-on experience in building and optimizing AI/ML pipelines. 
. Experience with Azure Cloud Platform, including services such as Azure OpenAI, Azure Machine Learning, Azure Functions, and Azure Kubernetes Service (AKS). 
. Deep understanding of LLMs and inference optimization using vLLM, DeepSpeed, or similar frameworks. 
. Expertise in throttling, queuing systems, and asynchronous processing architectures (Celery, Kafka, RabbitMQ, Azure Service Bus, etc.). 
. Experience with code refactoring, performance tuning, and scalable software design principles. 
. Familiarity with vector databases, embedding models, and prompt engineering. 
 
 
Preferred Skills 
 
. Experience with LangChain, Semantic Kernel, or similar orchestration frameworks. 
. Knowledge of containerization (Docker) and orchestration (Kubernetes). 
. Understanding of MLOps, CI/CD pipelines, and monitoring for AI applications. 
. Experience integrating multi-modal AI components (text, image, or speech) in GenAI systems.
Required qualifications to be successful in this role
 Qualifications: 
 
. Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field. 
. 6+ years of experience in software development, with at least 2+ years in GenAI solutioning. 
. Proven experience in designing and deploying AI solutions on Azure Cloud. 
 
 
Other Skills 
 
. Communication and Collaboration: Clearly explain complex AI concepts to diverse audiences, including non-technical stakeholders. Work effectively with cross-functional teams like data scientists, engineers, and product managers to align on project goals. 
. Leadership and Strategic Thinking: Guide and mentor project teams while translating business requirements into a coherent technical vision. Design scalable, robust, and cost-effective AI systems and architectures. 
. Problem-Solving and Critical Thinking: Analyze complex challenges to devise innovative AI solutions. Critically evaluate AI outputs for accuracy, relevance, and potential issues, and troubleshoot problems within the AI pipeline. 
. Adaptability and Continuous Learning: Maintain a strong commitment to lifelong learning to stay current with the rapid evolution of AI technologies, tools, and best practices. Quickly adapt strategies and solutions as the field progresses. 
. Ethical and Responsible AI: Champion ethical AI development by proactively identifying and mitigating biases in models and data. Prioritize data privacy, security, and the creation of transparent and fair AI systems.
Together, as owners, let&rsquo;s turn meaningful insights into action. 
 
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you&rsquo;ll reach your full potential because&hellip; 
 
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That&rsquo;s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company&rsquo;s strategy and direction. 
 
Your work creates value. You&rsquo;ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. 
 
You&rsquo;ll shape your career by joining a company built to grow and last. You&rsquo;ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
 
 
Come join our team&mdash;one of the largest IT and business consulting services firms in the world.</div>

GenAI Solution Architect / Lead GenAI Engineer

Boston Consulting Group (BCG)

<div>
 
 
 Please note: Your application will route you to a job posting on the BCG website with a different title, this is the correct and same job posting.
 
 
 
 
 
 
 
 Who We Are
 
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 
 
 
 
 What You'll Do
 
 
 
 BCG is transforming the way our people experience technology through the power of Generative AI. Ava, our IT Support GenAI chatbot, is live and serving over 40,000 BCG users globally, helping employees get IT help faster, smarter, and more intuitively than ever before.
 
 
 
 
 
 As the Global IT Software Engineer Director &ndash; GenAI, you will play a hands-on role in building upon Ava&rsquo;s success. You will design, develop, and deliver high-impact GenAI solutions that expand Ava&rsquo;s capabilities and reach. You will serve as the technical counterpart to the Product Owner, accountable for delivery speed, quality, and ensuring alignment between the technical roadmap and product vision. You&rsquo;ll work across teams to scale Ava&rsquo;s impact and apply emerging GenAI technologies to improve IT service experiences for BCG&rsquo;s global workforce.
 
 
 
 
 
 
 You're Good At
 
 
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 Taking ownership and driving complex technical solutions from design through delivery.
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 Being hands-on with modern cloud and AI technologies, while maintaining focus on delivery quality and scalability.
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 Collaborating effectively with product managers, engineers, and architecture teams to translate business goals into practical solutions.
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 Balancing speed, quality, and technical depth, ensuring solutions are secure, maintainable, and aligned to roadmap priorities.
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 Staying curious and adaptive, quickly learning new technologies and applying them to enterprise-scale challenges.
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 What You'll Bring
 
 
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 Full-stack engineering expertise with experience in cloud-native application development (AWS preferred).
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 Hands-on experience in building and deploying Generative AI or LLM-based systems at scale.
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 Proficiency in at least two programming languages such as Java, .NET, TypeScript, or Python, along with experience in modern frontend frameworks like React.js or Stencil.
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 Deep understanding of authorization and authentication standards (OAuth) and secure-by-design development practices. Strong awareness of OWASP Top 10 and a proactive approach to identifying and mitigating security vulnerabilities during development.
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 Experience designing and deploying Retrieval-Augmented Generation (RAG) pipelines, working with LLM APIs (AWS Bedrock, OpenAI, Azure OpenAI), and using frameworks like LangChain or LangGraph.
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 Strong knowledge of SDLC principles, CI/CD pipelines, and modern engineering practices.
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 Excellent communication and collaboration skills to partner across engineering, product, and governance teams.
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 Bachelor's degree in computer science, engineering, or related field (or equivalent experience)
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 </ul>
 
 
 
 
 
 Who You'll Work With
 
 
 
 You will be part of the IT &amp; Business Platforms (ITBP) team, partnering closely with the Genie team (BCG&rsquo;s internal GenAI platform built on AWS), as well as the AI Center of Excellence (AI CoE), Responsible AI, and Security/Architecture teams. Together, you&rsquo;ll deliver scalable, secure, and innovative GenAI solutions that transform how BCG&rsquo;s global employees engage with technology.
 
</div>

Python Developer

Youtube

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>2 years of experience programming in Python and C++.</li>
<li>1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).</li>
<li>Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields. 
</li>
<li>2 years of experience with data structures or algorithms.</li>
<li>Experience developing accessible technologies. 
</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun &mdash; and we do it all together.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Write product or system development code. 
</li>
<li>Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency,) 
</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. 
</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. 
</li>
<li>Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, AI/ML GenAI, YouTube

Talent Connect Group (TCG)

<div>
 
 🚀
 
 Hiring: Lead AI Developer &ndash; UAE
 
 🔥
 
 
 
 
 
 🇮🇳***Relocation from India***
 
 
 
 
 
 Join us at the forefront of
 
 AI innovation in the public sector.
 
 
 
 
 
 
 Our clients are building the foundational AI systems powering the next generation of
 
 intelligent government services
 
 across the UAE.
 
 
 
 
 
 As
 
 Lead AI Developer
 
 , you&rsquo;ll be the technical architect behind our AI infrastructure &mdash; designing, developing, and scaling core machine learning and GenAI platforms
 
 from the ground up
 
 .
 
 
 
 
 
 📍
 
 Location:
 
 Dubai
 
 
 🧠
 
 Focus:
 
 AI Infrastructure for Government Services
 
 
 💰
 
 Salary:
 
 30,000 &ndash; 35,000 AED/month
 
 
 🌍
 
 Impact:
 
 Shape the UAE&rsquo;s AI transformation
 
 
 
 
 
 💼 What You&rsquo;ll Build
 
 <ul>
 <li>
 Architect and implement the
 
 core AI/ML foundations
 
 &mdash; from data pipelines to deployment.
 </li>
 <li>
 Design and deploy
 
 LLMs, diffusion models, and advanced ML algorithms
 
 for real-world applications.
 </li>
 <li>
 Build
 
 end-to-end AI systems
 
 using frameworks like
 
 LangChain, MLflow, Kubeflow, and TensorRT
 
 .
 </li>
 <li>
 Integrate
 
 secure and scalable AI pipelines
 
 for large, sensitive government datasets.
 </li>
 <li>
 Collaborate with product, data science, and security teams to bring
 
 AI prototypes to production
 
 .
 </li>
 </ul>
 
 
 
 
 🧠 What You Bring
 
 <ul>
 <li>
 4&ndash;6+ years of hands-on AI/ML or software engineering experience building products from scratch.
 </li>
 <li>
 Expert in
 
 Python, TensorFlow, PyTorch, and Hugging Face ecosystems.
 
 </li>
 <li>
 Proven experience in
 
 architecting GenAI solutions
 
 and optimizing for cloud (Azure/GCP).
 </li>
 <li>
 Familiarity with
 
 vector DBs, MLOps tools, and containerized microservices (Docker/K8s)
 
 .
 </li>
 <li>
 Strong problem-solving mindset and the ability to
 
 set the technical direction for AI initiatives
 
 .
 </li>
 </ul>
 
 
 
 
 🌟 Nice to Have
 
 <ul>
 <li>
 Experience with
 
 AIOps
 
 ,
 
 open-source projects
 
 , or
 
 UAE public sector deployments.
 
 </li>
 <li>
 Background in scaling AI applications securely in production environments
 </li>
 </ul>
 
 
 
 
 If you are interested please get in touch ASAP with your CV.
 
 
 
 
 
 
 
 
 Owen.Moir-Holland@tconnectgroup.com
 
</div>

Lead AI Developer

JPMorganChase

<div>JOB DESCRIPTION<div> 
<div>JPMC is hiring the best talents to join the growing Asset and Wealth Management AI team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity.
</div><div>As a senior ML and GenAI engineer (VP), you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure.
</div><div>You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you&rsquo;re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit.
</div><div>Job Responsibilities
</div><div>Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
</div><div>Close partnership with peers in a geographically dispersed team and colleagues across organizational lines
</div><div>Collaborate across JPMorgan AWM&rsquo;s lines of business and functions to accelerate adoption of common AI capabilities
</div><div>Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
</div><div>Deploy solutions into public cloud infrastructure
</div><div>Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact
</div><div>Required qualifications, capabilities, and skills
</div></div><div><div><ul><li>MS in Computer Science, Statistics, Mathematics or Machine Learning.
</li></ul></div><div><ul><li>Minimum 5 years development experience, preferably with 3+ years hands-on Machine Learning Engineering
</li></ul></div><div><ul><li>Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions
</li></ul></div><div><ul><li>Solid Python programming skills required; with other high-performance language such as Go a big plus
</li></ul></div><div><ul><li>Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes.
</li></ul></div><div><ul><li>Experience in using LLMs (OpenAI, Claude or other models ) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus
</li></ul></div><div><ul><li>Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)
</li></ul></div><div><ul><li>Expertise in application, data, and infrastructure architecture disciplines
</li></ul></div><div><ul><li>Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
</li></ul></div><div><ul><li>Excellent communication skills and ability to communicate with senior technical and business partners
</li></ul></div><div>Preferred qualifications, capabilities, and skills
</div><div><ul><li>Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
</li></ul></div><div><ul><li>Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn
</li></ul></div><div><ul><li>Understanding of finance or wealth management businesses is an added advantage
</li></ul></div></div>ABOUT US<div> 
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 
 
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</div> 
 
 
ABOUT THE TEAM 
 
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Lead Data Scientist

ServiceNow

<div>Company Description 
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today &mdash; ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500&reg;. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. 
Job Description 
What you get to do in this role:
The Advanced Technology Group (ATG) at ServiceNow is a customer-focused innovation group building intelligent software and smart user experiences using existing and latest advanced technologies to enable end-to-end, industry-leading work experiences for customers. We are a group of researchers, applied scientists, engineers, and product managers with a dual mission. We build and evolve the AI platform, and partner with teams to build products and end-to-end AI-powered work experiences. In equal measure, we lay the foundations, research, experiment, and de-risk AI technologies that unlock new work experiences in the future.
You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that any user, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.<ul><li>
Build the best cloud-based AI/ML solutions to power intelligent enterprise services</li><li>
Collaborate daily with a team of like-minded developers, product managers and quality engineers to produce quality software</li><li>
Work with product owners to understand detailed requirements and own your code from design, implementation, testing and delivery of high-quality solutions to our users</li></ul> 

Qualifications 
To be successful in this role you have:<ul><li>
5+ years of hands on experience in ML/AI engineering, with a strong focus on building and deploying AI/GenAI applications.</li><li>
Proficiency in Python (ML libraries, GenAI/LLM frameworks) and Java (enterprise application development, OOP).</li><li>
Practical experience developing with LLM frameworks such as LangChain, LangGraph, and vendor SDKs/APIs (OpenAI, Anthropic, etc.).</li><li>
Experience in using Al productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have</li><li>
Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization is a plus or nice to have.</li><li>
Strong skills in prompt engineering and designing agentic reasoning pipelines.</li><li>
Solid understanding of ML evaluation techniques and experience in implementing model monitoring &amp; metrics.</li><li>
Proven ability to debug and optimize inference pipelines for performance and cost efficiency.</li><li>
Strong problem solving skills with the ability to work in fast paced, agile development environments.</li><li>
Bonus: Contributions to open-source projects, blogs, or technical papers in LLM/GenA</li></ul> 
Additional Information 
Work Personas
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. &copy;2025 Fortune Media IP Limited. All rights reserved. Used under license.</div>

Senior Machine Learning Engineer

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