13766 Ml Jobs - Page 2

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: Associate Data Scientist Experience: 0–2 Years Job Type: Full-time We are seeking a highly skilled and motivated Associate Data Scientist to join our dynamic team. In this role, you will leverage your advanced analytical and technical expertise to solve complex business problems and drive impactful data-driven decisions. You will design, develop, and deploy sophisticated machine learning models, conduct in-depth data analyses, and collaborate with cross-functional teams to deliver actionable insights. Responsibilities Assist in data cleaning, preprocessing, and exploratory data analysis. Work with senior team members on machine learning model development. Support the implementation of GenAI features like text summarization and embeddings. Perform evaluation of model results using standard metrics. Required Skills Proficiency in Python and basic ML libraries (Scikit-learn, Pandas, NumPy). Familiarity with NLP techniques and LLM APIs. Basic understanding of cloud platforms (AWS/GCP/Azure). At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a business application consulting generalist at PwC, you will provide consulting services for a wide range of business applications. You will leverage a broad understanding of various software solutions to assist clients in optimising operational efficiency through analysis, implementation, training, and support. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Responsibilities: Position responsibilities and expectations · Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. · Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. · Ability to learn new scripting language or analytics platform. Technical Skills required (must have) · HandsOn Exposure to Generative AI (Design, development of GenAI application in production) · Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. · Strong understanding of deploying and optimizing AI application in production. · Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. · Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) · Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. · Experience in advanced Text Analytics (NLP, NLU, NLG). · Strong hands-on experience of end-to-end statistical model development and implementation · Understanding of LLMOps, ML Ops for scalable ML development. · Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). · Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. · Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) · Experience in video/ image analytics (Computer Vision) · Experience in IoT/ machine logs data analysis · Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME · Expertise in Cloud analytics platforms (Azure, AWS or Google) · Experience in Process Mining with expertise in Celonis or other tools · Proven capability in using Generative AI services like OpenAI, Google (Gemini) · Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) · Understanding of fine-tuning for pre-trained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. · Proven capability in building customized models from open-source distributions like Llama, Stable Diffusion Mandatory skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets: AI chatbots, Data structures, GenAI object-oriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required: 3-10 Years Education qualification: BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Science Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Performance Assessment {+ 21 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Confidence can sometimes hold us back from applying for a job. Here’s a secret: there's no such thing as a "perfect" candidate. Poshmark is looking for exceptional people who want to make a positive impact through their work and help create an organization where everyone can thrive. So whatever background you bring with you, please apply if this role would make you excited to come to work every day. Job Description Senior Machine Learning Engineer Poshmark is a leading social marketplace for new and secondhand styles for women, men, kids, home, and more. By combining the human connection of physical shopping with the scale, ease, and selection benefits of ecommerce, Poshmark makes buying and selling simple, social, and fun. The Machine Learning team is a central player in the Poshmark organization. Our mission is to build a world-class machine learning platform to bring value out of data for us and for our customers. Our goal is to democratize data science and machine learning, support exploding business, and use machine learning to drive value across the chain (Search, personalization, fraud detection, catalog digitisation to name a few) Responsibilities Manage the entire ML lifecycle from data collection to deployment and monitoring Collaborate across teams such as DS, QA, Infra and other engineering teams to productionize ML models Write and optimize code for production environments, ensuring the robustness and reliability of ML services at scale Manage and support current solutions while evolving them to incorporate newer technologies Strong written, verbal, and presentation skills, with the ability to convey complex concepts in a clear and simple manner Stay updated with the latest developments in data science and machine learning Desired Skills & Experience 4+ years of experience applying Machine Learning to concrete problems at large scale Bachelors or Masters in Computer Science, Statistics, or related field Strong CS fundamentals. Should be able to write algorithms with ease. Solid understanding of Data Science and ML fundamentals – Regression, Classification, Tree-based approach, Neural network, and sequence-based models. Working experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc. Should have excellent understanding of ML lifecycle Good understanding of system architecture. Have knowledge of big data technologies – streaming architecture, data pipelines, etc. Experience with Python, SQL, Java or Scala Good to have: Big data systems – Spark, EMR, S3, AirFlow Production experience with LLMs and prompt engineering Experience with Flask, FastAPI, RabbitMQ, Embeddings and Vector DBs About Us Poshmark is a leading fashion resale marketplace powered by a vibrant, highly engaged community of buyers and sellers and real-time social experiences. Designed to make online selling fun, more social and easier than ever, Poshmark empowers its sellers to turn their closet into a thriving business and share their style with the world. Since its founding in 2011, Poshmark has grown its community to over 130 million users and generated over $10 billion in GMV, helping sellers realize billions in earnings, delighting buyers with deals and one-of-a-kind items, and building a more sustainable future for fashion. For more information, please visit www.poshmark.com, and for company news, visit newsroom.poshmark.com. Why Poshmark? At Poshmark, we’re constantly challenging the status quo and are looking for innovative and passionate people to help shape the future of Poshmark. We’re disrupting the industry by combining social connections with e-commerce through data-driven solutions and the latest technology to optimize our platform. We’re nothing without our amazing team who deliver an unparalleled social shopping experience to the millions of people we connect each day. We built Poshmark around four core values: 1) focus on people to create empowered communities that drive success; 2) together we grow to support each other to strive for our dreams; 3) lead with love to foster genuine connections built upon a foundation of respect; and 4) embrace your weirdness to accept and empower one another on their own unique journey. We’re invested in our team and community, working together to build an entirely new way to shop. That way, when we win, we all win together. Come help us build the most connected shopping experience ever. We will set you up with comprehensive global and in-country benefits to support you and your family needs. Poshmark is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. View Poshmark's Job Applicant Privacy Policy here.

Must-haves: experience in the DICOM imaging domain, strong Python Should-haves: AI/ML experience, strong AWS, experience in another imaging domain (such as whole slide imaging, satellite imaging etc). The ideal candidate will have strong verbal and written communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. They should have experience working cross-functionally with teams such as design, product management, and customer support. A proven ability to document solutions, contribute to team discussions, and present ideas clearly in meetings is essential. Comfort with collaborative development practices like code reviews, pair programming, and participation in Agile ceremonies such as daily stand-ups and retrospectives is also preferred.

TransUnion's Job Applicant Privacy Notice What We'll Bring Dot net Full Stack Engineer What You'll Bring Key Responsibilities - Develop and maintain front-end & back-end components of our fraud detection platform. Implement real time data processing and streaming functionalities Design and develop APIs for integrating various microservices Collaborate with cross-functional teams to deliver high quality software solutions Participate in entire application lifecycle , focusing on coding, debugging and testing Ensure the implementation of security protocols and data protection measures Stay UpToDate with emerging trends and technologies in AI/ML, fraud detection, and full stack development Required Qualifications - Bachelors or Masters degree in Computer Science, Engineering or a related field. Minimum of 3 yrs. of experience as a .Net Full Stack Developer. Strong proficiency in programming languages such as .Net, ASP, C and C# Experience with data streaming and processing tools (e.g. Apache Kafka, Spark) Solid experience with RDBMS and NoSQL database concepts Experience with developing RESTful or GraphQL APIs Familiarity with cloud platforms (GCP,AWS, Azure) and containerization tools (Docker, Kubernetes) Strong analytical and problem-solving skills. Impact You'll Make NA This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Developer, Software Development

What this job involves: About the Role We are seeking a highly skilled and innovative Senior AI/ML Software Engineer to join our cutting-edge team working on Agentic AI, AI/Machine Learning, and Large Language Models (LLMs). In this role, you will be at the forefront of developing intelligent, autonomous systems that can perceive, learn, and act in complex environments, with a strong focus on LLMs and their applications. The JLL Technologies Insights & Data team aims to bring successful technology-based products to market in a high-growth environment. The team's mission is focused on accelerating technology adoption in commercial real estate by bringing creative, innovative and technical solutions to solve large, complex problems for our clients. Shape the future of real estate for a better world by contributing to the creation of globally scalable products used by JLLs client customers the most respected brands in the world. Experience & Education Bachelor's degree in AI/ML or Computer Science or related discipline. Advanced degree preferred. 6 months+ of experience. Can design, develop, and implement advanced AI and ML algorithms, focusing on agentic AI systems that can operate autonomously and adapt to changing environments. Strong experience in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew etc. Strong experience in Python, PyTorch, integration with backend systems, experience with RESTAPI or similar frameworks for API development. Reliable, self-motivated and self-disciplined individual capable of planning and executing multiple projects simultaneously within a fast-paced environment. Capable of rapid self-learning of new software applications and programming languages. Effective written and verbal communication skills, including technical documentation. Excellent technical, analytical, time management, and organizational skills Requires excellent collaboration, presentation and communication skills. Technical Skills & Competencies Strong proficiency in Python, PyTorch and preferably PySpark. Strong proficiency in AI technologies, AI/ML frameworks including agentic frameworks such as LangGraph, crew, TensorFlow, scikit-learn etc., good proficiency in prompt engineering. Strong proficiency in LLMs, LangChain or similar frameworks for building LLM-powered applications, advanced natural language processing techniques, graph neural networks and knowledge graphs. Strong understanding of machine learning algorithms, deep learning, and reinforcement learning techniques. Strong understanding of integration of Gen AI applications with with backend systems. Good in developing and consuming RESTful APIs. Nice to have: Good knowledge in DW/BI, Data Engineering and/or Data Science using different tools and in different domains. Nice to have: Good knowledge of GitHub, CI/CD, Agile methodologies and tools.

Job Description At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Overview As a leading global aerospace company, Boeing develops, manufactures and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality and integrity. Technology for today and tomorrow The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace. People-driven culture At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring together different perspectives and thoughts – enabling every voice to be heard and every perspective to be respected. No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing. With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace. Position Overview The Boeing Company is seeking Associate Illustrated Parts Catalog Author to join the IPC/IPD teams within the support data engineering division, based in Chennai, India. Your aspirations extend beyond our planet. You possess innovation and creativity, constantly pushing boundaries. You excel in collaborative environments while also demonstrating the capability to handle tasks independently. The position offers an opportunity to analyze complex engineering documents and revise part applicability modifications in Illustrated Parts Catalogue. Position Responsibilities : Conduct regular data analysis tasks and prepare IPC/IPD data. Conducts in-depth analysis of engineering drawings, service bulletins, and modifications to interpret data for inclusion in the IPC Analyzes BOM (Bill of Materials) and engineering drawings to create installation and assembly breakdowns of parts using authoring tools. Update the Illustrated Parts Catalog to incorporate parts interchangeability and changes from pre/post configuration service bulletins. Follows IPC procedures, publication standards and government/customer specifications for authoring. Conducts analysis of Next Higher Assemblies and build indenture relationships to support impact analysis Communicates ISO processes to company, customer, ISO auditors and representatives. Create mark-ups to serve as inputs for illustrations. Performs quality assurance checks across multiple areas. Recognizes non-conformities in product and makes recommendations for corrections and preventive actions. Compares product to incoming source data for the purpose of verifying technical accuracy. Supports customer inquiries by researching issues and drafting responses. Carries out basic formatting and cataloging of sub-assemblies and components in accordance with established procedures and specifications. Communicates effectively with global partners and coordinates with team members within the group. Recognize opportunities for process improvement. Provides mentorship and guidance to other team members. Basic Qualifications (Required Skills/Experience): Bachelor’s degree in engineering or Diploma or Aircraft Maintenance Engineering (AME) is required as a basic qualification. 5 + years of experience in Aerospace technical publications or related work experience in other similar domains Over 3 years of experience in developing, updating, and evaluating IPC/IPD in accordance with ATA100/iSpec2200/S1000D standards Experience in utilizing engineering drawings, service bulletins, specifications, and other engineering resources to research, analyze, and interpret information for inclusion in publications. Preferred Qualifications (Desired Skills/Experience): Bachelor’s degree in engineering/Diploma/Aircraft Maintenance Engineering (AME) or equivalent will be considered along with 4-8 years of experience. Typical Education & Experience: Education and experience generally obtained through advanced studies (such as a bachelor’s degree in engineering or its equivalent) combined with over 5 years of relevant work experience. Relocation: This position offers relocation. Applications for this position will be accepted until Jun. 29, 2025 Export Control Requirements: This is not an Export Control position. Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift Not a Shift Worker (India) Contingent Upon Program Reward The position is contingent upon program award Equal Opportunity Employer: We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law. We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.

Role: Data Scientist(Gen AI Engineer) Experience: 3+ years Location: Bangalore,Chennai, Hyderabad, Pune, Gurugram Skills: Gen AI, Ml, DL, python programming, computer vision, LLM, LLP models, implementation

Description Join us in a rare ground-floor opportunity to build and scale a transformative team within Amazon's IES DEX organization, where we're evolving from a successful proof of concept to an enterprise-scale operation in the Cart Building and Package Consolidation space. Our team stands out for its unique full-stack ownership model, where SDEs work across both customer-facing products and core infrastructure. You'll architect and develop customer touchpoints throughout the entire shopping journey - from smart notification systems and interactive product detail widgets to sophisticated checkout flows and post-purchase experiences. On the infrastructure side, you'll build the backbone that powers these experiences: high-throughput APIs, complex ML model integrations, and large-scale customer behavior datasets that drive decision-making across Amazon. What makes this role particularly exciting is the multi-dimensional nature of our technical challenges. You'll work on latest technologies for real-time incentive vending and clawback mechanisms, develop sophisticated abuse prevention algorithms, and implement precise customer targeting solutions. Our team has evolved beyond building just for ourselves - we've developed robust platforms and APIs that are now critical infrastructure for multiple teams across Amazon, dealing with massive scale and unique technical challenges. This combination of product innovation, infrastructure development, and platform ownership creates an unprecedented learning opportunity for engineers who want to grow across multiple technical domains. Candidate should have the technical skills to design and build complex distributed systems that runs at Amazon scale. They prefer working on small, focused teams, own their product, and love to pitch in anywhere to get the job done. They lead by example and the team naturally gravitates toward them because of their engineering expertise and decision-making ability. They can communicate effectively with a wide variety of audiences and are comfortable pitching new ideas. Upon joining IES DEX, every employee is paired with a peer buddy who will help you to quickly come up to speed in understanding the technology we’re building, the tools we use and the business problems we’re trying to solve. We hire exceptional people and we recognize the importance of coaching others. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, and job level. On our internal “Broadcast” video streaming website, you’ll find countless presentations by some of the brightest minds in computing discussing solutions to many of the exciting problems we’re solving in Amazon today with new live-streaming videos added every week. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We recognize that the circumstances of our team members vary, and we balance work across the team so that we’re all able to maintain high standards on behalf of our customers, while at the same time allowing for rich and happy personal lives. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Basic Qualifications 3+ years of non-internship professional software development experience 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka - A66 Job ID: A3000008

Here at Appian, our core values of Respect, Work to Impact, Ambition, and Constructive Dissent & Resolution define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. Imagine leading a team that's not just coding, but crafting the future of enterprise AI. At Appian, we're driven by a passion for technology and a relentless pursuit of innovation. Join us, and you'll be at the helm of projects that redefine industry standards, in an environment where your expertise is valued, and your growth is paramount. We're not just building software; we're empowering organizations to achieve the extraordinary through the power of AI. About The Role: We're seeking a seasoned Lead Software Engineer to spearhead development of our AI-powered low-code platform. In this influential role, you'll guide a team of talented engineers, driving the design and implementation of complex, scalable solutions. You'll leverage your deep expertise in Java, Python, JavaScript, and AWS services, with a focus on integrating cutting-edge AI technologies like Large Language Models (LLMs), Generative AI, AWS Bedrock, and Anthropic Claude, and other state-of-the-art AI tools and frameworks. Your leadership will be pivotal in shaping the future of enterprise software and driving Appian’s AI strategy. Responsibilities: Lead the design, development, and deployment of enterprise-grade, full-stack applications with a strong emphasis on AI integration, ensuring alignment with Appian’s overall AI strategy. Mentor and guide a team of software engineers, fostering a culture of excellence and continuous improvement. Architect and implement complex software solutions, ensuring scalability, reliability, and security. Drive the adoption of best practices in software development, including code reviews, testing, and continuous integration/continuous deployment (CI/CD), with a focus on AI specific challenges like LLM-based feature validation. Collaborate with product managers and other stakeholders to define project requirements and timelines. Lead technical discussions and provide guidance on architectural decisions. Proactively identify and resolve technical challenges. Ensure the availability, latency, scalability, efficiency, and security of our platform by designing reliability and security into our systems, with a specific focus on the unique challenges of AI systems. Troubleshoot, investigate, and diagnose incidents using advanced tracing, alerting, and log analysis. Contribute to software performance analysis and system tuning. Build automation to prevent problem recurrence. Create and maintain comprehensive technical documentation. Effectively communicate complex technical designs to diverse audiences, including explaining AI concepts and trade-offs to both technical and non-technical stakeholders. Take ownership of team performance, quality, stability, and velocity, with a focus on the AI aspects of the platform and the team’s contribution to Appian’s AI initiatives.. Champion Agile methodologies and a quality-first culture. Qualifications: Minimum Qualifications: BS in Computer Science or related field/degree; MS in Computer Science preferred. 8+ years of experience building and delivering enterprise-grade software applications. Proven experience leading software development teams, including teams focused on AI. Experience in a high-volume or critical production service environment. Expert proficiency in Java, JavaScript, Spring, JPA, JDBC, Hibernate, React, Gradle, and Git. Deep understanding of web technologies and AWS cloud services. Demonstrated experience with AI technologies, including Large Language Models (LLMs), Generative AI, Machine Learning (ML), and Prompt Engineering. Ability to apply both object-oriented and functional programming approaches. Strong advocate for industry best practices, including platform development, DevOps, and CI/CD, with a focus on AI specific challenges like LLM-based feature validation.. Exceptional problem-solving and analytical skills, with a focus on AI-related challenges, such as model debugging and performance optimization.. Excellent communication and collaboration skills, including the ability to explain complex AI concepts to both technical and non-technical audiences.. A relentless curiosity and passion for innovation, particularly in the field of AI and its application to business process automation.. Agile mindset and unwavering commitment to quality. About Appian: Appian is a software powerhouse that's revolutionizing business process automation. Our AI-Powered Process Platform is the definitive solution for designing, automating, and optimizing even the most intricate processes. We empower the world's most innovative organizations to streamline workflows, unify data, and optimize operations, driving exceptional growth and customer experiences. Join us at appian.com. This role is based at our Chennai office in Brigade World Trade Center Chennai. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We’ll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. About Appian Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations—resulting in better growth and superior customer experiences. For more information, visit appian.com. [Nasdaq: APPN] Follow Appian: Twitter, LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at ReasonableAccommodations@appian.com. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Title: MLOps Engineer – AWS SageMaker & MLflow (Remote) Location: Fully Remote (India Preferred) Experience Level: 5+ Years Employment Type: Full-Time Company: KrtrimaIQ Cognitive Solutions 📧 Apply at: nikhil.kumar@krtrimaiq.ai Job Summary: KrtrimaIQ Cognitive Solutions is looking for a Senior MLOps Engineer with deep expertise in AWS SageMaker , MLflow , and end-to-end machine learning lifecycle management . The ideal candidate will have hands-on experience in deploying and managing scalable ML solutions in production environments and a passion for building reliable MLOps systems. This is a fully remote opportunity offering flexibility and the chance to work on innovative AI/ML products for global enterprises. Key Responsibilities: Design, build, and maintain scalable and secure MLOps pipelines using AWS SageMaker and MLflow Automate ML model lifecycle: training, testing, tracking, versioning, and deployment to production Implement CI/CD pipelines and DevOps practices for ML infrastructure Ensure reproducibility, monitoring, and performance optimization of deployed models Collaborate closely with Data Scientists, Data Engineers, and DevOps teams to streamline workflows Contribute to MLOps research and explore new tools and frameworks in the production ML space Ensure compliance with best practices in cloud computing , software development , and data security Must-Have Qualifications: 5+ years of professional experience in Software Engineering or MLOps Expertise in AWS , specifically AWS SageMaker for building and deploying ML models Hands-on experience with MLflow for model tracking, versioning, and deployment Strong programming skills in Python (R, Scala, or Spark is a plus) Solid experience in production-grade development and infrastructure automation Strong problem-solving, analytical, and research skills Preferred Qualifications: Experience with AWS DataZone Familiarity with Docker , Kubernetes , Airflow , Terraform , or other orchestration tools Understanding of data versioning , feature stores , and ML monitoring tools Exposure to MLOps research and experimentation in startup/innovation environments What We Offer: 💻 100% Remote Work Flexibility 🌐 Exposure to enterprise-grade AI and MLOps use cases 🤝 Collaborative work culture focused on innovation and learning 🚀 Fast-paced startup-like environment with global project opportunities How to Apply: Send your updated CV to: nikhil.kumar@krtrimaiq.ai

Job Description Summary As Technical Product Manager for our Data Products, you will join our GridOS Data Fabric product management team who are delivering solutions designed to accelerate decarbonization by managing DERs at scale and proactively manage disruptions from climate change. Specifically, you will be accountable for managing technical product lifecycle activities around our core Data Products in partnership with our own & partner development teams to build trusted data products for our GridOS ADMS applications. Job Description Roles and Responsibilities Technical product management, responsible for delivering Data Products in partnership with both GE Vernova & partner development teams. Includes all activities related to sprint planning, backlog grooming, testing and release management. Collaborate with data engineers, data scientists, analysts, and business stakeholders to prioritize product epics & features. Ensure data products are reliable, scalable, secure, and align with regulatory and compliance standards. Advocate for data governance, data quality, and metadata management as part of product development. Evangelize the use of data products across the organization to drive data you can trust to fuel AI/ML predictive workflows. Accountability for functional, business, and broad company objectives. Integrate and develop processes that meet business needs across the organization, be involved in long-term planning, manage complex issues within functional area of expertise, and contribute to the overall business strategy. Developing specialized knowledge of latest commercial developments in own area and communication skills to influence others. Contributes towards strategy and policy development and ensure delivery within area of responsibility. Has in-depth knowledge of best practices and how own area integrates with others; has working knowledge of competition and the factors that differentiate them in the market Brings the right balance of tactical momentum and strategic focus and alignment and uses engineering team organization processes, like scrums, daily-stand-ups and not shy away from explaining deep technical requirements. Uses judgment to make decisions or solve moderately complex tasks or problems within projects, product lines, markets, sales processes, campaigns, or customers. Takes new perspective on existing solutions. Uses technical experience and expertise for data analysis to support recommendations. Uses multiple internal and limited external sources outside of own function to arrive at decisions. Acts as a resource for colleagues with less experience. May lead small projects with moderate risks and resource requirements. Explains difficult or sensitive information; works to build consensus. Developing persuasion skills required to influence others on topics within field. Required Qualifications This role requires significant experience in the Product Management & Digital Product Manager. Knowledge level is comparable to a Master's degree from an accredited university or college. Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Desired Characteristics Strong oral and written communication skills. Strong interpersonal and leadership skills. Demonstrated ability to analyze and resolve problems. Demonstrated ability to lead programs / projects. Ability to document, plan, market, and execute programs. Strong understanding of data infrastructure, data modeling, ETL pipelines, APIs, and cloud technologies (e.g., AWS, Azure). Experience with iterative product development and program management techniques including Agile, Safe, Scrum & DevOps. Familiarity with data privacy and security practices (e.g., GDPR, CCPA, HIPAA), and understanding of metadata, lineage, and data quality management. Knowledge and experience with electric utility industry practices. Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used. Additional Information Relocation Assistance Provided: Yes

End User Technology Services (EUTS) Assistant Manager, Workstation Engineer Deloitte Technology & Infrastructure (T&I) is the engine of the Deloitte network. Our professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our organization. Deloitte Technology works at the forefront of technology development and processes to support and protect Deloitte around the world. In this truly global environment, we operate not in "what is" but rather "what can be" to help Deloitte deliver and connect with its clients, its communities, and one another in ways not previously conceived. This Assistant Manager will lead and participate in the architecture and engineering efforts for end-user platform solutions for the Deloitte US firms. They will ensure the delivery of these solutions with minimal impact on end-users and further supporting our goal of technology eminence. In this role, you will: Deliver an optimized productivity platform and exceptional digital experience. Be responsible for delivering a highly optimized, stable and productive workstation experience. Understand the business environment, customer needs and anticipate future technological demands. You will also manage vendor relationships to troubleshoot issues and provide support and service to end users. Protect the desktop environment by evaluating and determining how to react to security alerts, vulnerabilities, and industry risks. Leverage advanced workstation analytics, develop proactive solutions, and ensure comprehensive compliance using multiple enablement systems and tools. Enforce service levels and service offerings for end-user computing, including technology platforms, distribution, and deployment. You will approve and enforce processes and procedures for end user software technology platforms, distribution, and deployment. Provide Endpoint solutions to meet client/business requirements, coordinate testing, and production deployment of solutions. Required Skills Data Analytics Collaborate with Stakeholders / PMs/ Data Engineers to align project vision and improve data quality and accuracy. Apply systematic technical approaches to structure consistency, compatibility, and efficiency in data management. Develop algorithms, implement technical solutions, and contribute to the creation of user-friendly interfaces. Engage in research and development activities, including the development of new digital solutions. Support business decisions by working with leaders across the business. Strong expertise in Python programming and one of the Deep Learning frameworks (PyTorch, MXNet, TensorFlow, Keras). Knowledge of (with deep expertise in at-least three of) LLMs, Classification, Prediction, Recommender Systems, Time Series Forecasting, Anomaly Detection, Optimization, Graph ML, NLP. Hands-on develop ML models using the above techniques across Customer, Partner, Field & Sales in varied domains. Ability to both use existing libraries (ML, Deep Learning, Re-inforcement Learning) as well as design algorithms ground-up. Able to prepare data pipelines and feature engineering pipelines to build robust models using SQL, PySpark, Azure Data Studio etc. Scientific thinking and ability to invent: Prior experience creating intellectual property through patents desirable. Proficient in Relational Databases (SQL) and Big Data Technologies (Hive, PySpark). Knowledge of working in cloud-computing environment like Azure or AWS or Google Cloud. Azure preferred. Qualifications Bachelor’s/Master’s in Computer Science with 5 years of experience in a technical IT role with 3+ years of relevant experience Basic understanding of below Technologies is desirable Knowledge of Power tools Data Science / Analytics using a multitude of data sources Nexthink Agile Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 305575

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: -Stakeholder facing role across different functions of the organizations (e.g., Marketing, Finance, Logistics, Procurement, Customer, Supply Chain, HR) to develop analyses that lead to actionable insights that accelerate profitable growth. -Working with bigdata, SAP, Oracle, Workday or several other large and complex databases. Responsibilities: -Designing and building analytical / ML algorithms using Python, R and other statistical tools. -Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. -Ability to learn new scripting language or analytics platform Mandatory skill sets: -Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Non-parametric analysis. -Strong knowledge of Deep Learning and Neural Network Architectures like CNN, RNN, LSTM, Transformers etc. -Strong knowledge of SQL and R/Python and experience with distribute data/computing tools. -Experience in advanced Text Analytics (NLP, NLU, NLG). -Strong hands-on experience of end-to-end statistical model development and implementation -Basic understanding of MLOps for scalable ML development. -Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. -Exposure to Cloud technologies (Azure or AWS Preferred skill sets: -Experience in video/ image analytics -Experience in IoT/ machine logs data analysis -Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME -Expertise in Cloud analytics platforms (Azure, AWS or Google) -Experience in Process Mining with expertise in Celonis or other tools Years of experience required: -3 to 10 years' experience in Analytics modeling -Experience in algorithm development -Open for domestic and international travels Education qualification: - M.Sc. / M.Stat/ MS (Statistics / Mathematics/ Economics/ Computer Science or ML/DL focus) -B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) -MBA with ML/DL Focus. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Science, Master of Business Administration, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Mining, Statistics Optional Skills Amazon Web Services (AWS), Microsoft Azure Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: -Driving and leading proof of concept solutions to build BI repositories. -End to end expertise, from solution designing to project delivery. -Keeping up to date on latest trends and technologies. Responsibilities: - Excellent client management skills and cross team communication. -Has a value driven perspective about understanding of work context and impact. -Ability to give effective presentations and trainings. -Interest in emerging BI trends and technologies and ability to guide team to come up with industry leading and insightful stories from data. -Partner with business teams and external stakeholders to gather requirements and relevant data in order to interpret the business needs. -Provide technical guidance to deliver customer centric solutions. Mandatory skill sets: -Experience on both implementation and sustenance projects. -At least 2 End to End implementation on SAP BW. -Good Knowledge on ETL and data transformation. -Working experience with different SAP data sources. -Basic functional knowledge of SAP Modules and relevant data providers. -Knowledge of SAP tables for FI, MM, SD. -Hana Modelling experience on creating Calculation views, Procedures, Table functions and good command on SQL. -BW related ABAP Knowledge is a must Preferred skill sets: Demonstrate strong data warehousing, visualization and analytical skills and should have experience of at least 3 years in working on BI projects with large scale and high value implementation. Years of experience required: -3-7 years of hands-on experience in SAP BW/ BWonHANA/ BW4HANA/ SAP HANA. - Prior experience and knowledge on reporting tools like Tableau, Power BI, BO, SAP Lumira, Design Studio, SAP analytics cloud etc. will be considered an Add-on. Education qualification: -Ph.D/ M.Sc. / M.Stat/ MS (Statistics / Mathematics/ Economics/ Computer Science or ML/DL focus) -B.Tech / M.Tech (Computer Science, Mathematics & Scientific Computing etc.) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SAP Business Warehouse Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Complex Data Analysis, Creativity, Data Analysis Software, Data Collection, Data-Driven Consulting, Data Integration, Data Mining, Data Modeling, Data Preprocessing, Data Quality, Data Quality Improvement Plans (DQIP), Data Security, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism {+ 10 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Join Chief Data and Analytics Organization to architect and evolve firm wide Data Mesh, AI/ML and GenAI, and Data Governance platform. As a Senior Principal Architect at JPMorgan Chase within the Enterprise Technology function, you provide expertise to enhance and develop architecture platforms based on modern cloud-based technologies, as well as support the adoption of strategic global solutions. Leverage your advanced architecture capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes. The Data Management group is part of the Chief Analytics and Data Office at JPMorgan Chase. It operates firm wide, liaising with every line of business to deliver innovative data management products, services and value add solutions. Our vision is to continuously evolve using best-in-class tools and technologies in managing vast amounts of data to enable AI/ML initiatives throughout the firm and enhance our ability to provide market leading capabilities. Our philosophy is to function in a product operating model to iteratively discover, design, develop and deliver great outcomes to our customers quickly and securely. Our team delivers comprehensive data management solutions for making JPMC’s data discoverable, understandable, observable, trustworthy, accessible, and interoperable for authorized personas to drive BI and AI/ML initiatives with agility and velocity. It includes center of excellences for multiple product domains, such as Data Lake Services, Data Migrations Services, Unified Data Catalog and Controls, Entitlements Services and Data Analytics & Business Intelligence services, to drive digital transformation, cloud adoption and AI/ML capabilities throughout the firm. Job Responsibilities Advises cross-functional teams on technology selection to achieve target state architecture and decisions on improvements to current technologies Develops multi-year roadmaps aligned with business and architecture strategy and priorities Creates complex and scalable coding frameworks using appropriate software design Collaborate with product owners, engineers, clients, and vendors to establish and maintain platform objectives and target state architecture Create and evolve strategic architecture that enable our clients to achieve business objective (requires experience with C4, DDD, data modeling, and knowledge of SDLC practices) Focus on integrated “user experience” to enforce system thinking approach as part of the platform delivery Organize and manage solutions libraries that focus on end-to-end data lifecycle experience form data origination, data management, data governance, and data consumption Develops secure and high-quality production code, and reviews and debugs code written by others Serves as the function’s go-to subject matter expert Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable software frameworks that improves velocity and quality of output across teams and functions Champions the firm’s culture of diversity, equity, inclusion, and respect Required Qualifications, capabilities, and skills Formal training or certification on architecture concepts and 10+ years applied experience. Experience applying expertise and new methods to determine solutions for complex architecture problems in one or more technical disciplines Hands-on practical experience delivering system design, application development, testing, and operational stability Expertise in one or more programming language of Python or Java Expert level experience with AWS or other Public Cloud providers Expert level with Databricks, Snowflake, Starburst, Trino, AWS Data, AWS Analytics, and AWS AI/ML Hands on experience delivering BI and AI/ML solutions for business stakeholders and data scientists Influencer with a proven record of successfully driving change and transforming across organizational boundaries Ability to present and effectively communicate to Senior Leaders and Executives

JOB DESCRIPTION Join Chief Data and Analytics Organization to architect and evolve firm wide Data Mesh, AI/ML and GenAI, and Data Governance platform. As a Senior Principal Architect at JPMorgan Chase within the Enterprise Technology function, you provide expertise to enhance and develop architecture platforms based on modern cloud-based technologies, as well as support the adoption of strategic global solutions. Leverage your advanced architecture capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes. The Data Management group is part of the Chief Analytics and Data Office at JPMorgan Chase. It operates firm wide, liaising with every line of business to deliver innovative data management products, services and value add solutions. Our vision is to continuously evolve using best-in-class tools and technologies in managing vast amounts of data to enable AI/ML initiatives throughout the firm and enhance our ability to provide market leading capabilities. Our philosophy is to function in a product operating model to iteratively discover, design, develop and deliver great outcomes to our customers quickly and securely. Our team delivers comprehensive data management solutions for making JPMC’s data discoverable, understandable, observable, trustworthy, accessible, and interoperable for authorized personas to drive BI and AI/ML initiatives with agility and velocity. It includes center of excellences for multiple product domains, such as Data Lake Services, Data Migrations Services, Unified Data Catalog and Controls, Entitlements Services and Data Analytics & Business Intelligence services, to drive digital transformation, cloud adoption and AI/ML capabilities throughout the firm. Job Responsibilities Advises cross-functional teams on technology selection to achieve target state architecture and decisions on improvements to current technologies Develops multi-year roadmaps aligned with business and architecture strategy and priorities Creates complex and scalable coding frameworks using appropriate software design Collaborate with product owners, engineers, clients, and vendors to establish and maintain platform objectives and target state architecture Create and evolve strategic architecture that enable our clients to achieve business objective (requires experience with C4, DDD, data modeling, and knowledge of SDLC practices) Focus on integrated “user experience” to enforce system thinking approach as part of the platform delivery Organize and manage solutions libraries that focus on end-to-end data lifecycle experience form data origination, data management, data governance, and data consumption Develops secure and high-quality production code, and reviews and debugs code written by others Serves as the function’s go-to subject matter expert Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies Creates durable, reusable software frameworks that improves velocity and quality of output across teams and functions Champions the firm’s culture of diversity, equity, inclusion, and respect Required Qualifications, capabilities, and skills Formal training or certification on architecture concepts and 10+ years applied experience. Experience applying expertise and new methods to determine solutions for complex architecture problems in one or more technical disciplines Hands-on practical experience delivering system design, application development, testing, and operational stability Expertise in one or more programming language of Python or Java Expert level experience with AWS or other Public Cloud providers Expert level with Databricks, Snowflake, Starburst, Trino, AWS Data, AWS Analytics, and AWS AI/ML Hands on experience delivering BI and AI/ML solutions for business stakeholders and data scientists Influencer with a proven record of successfully driving change and transforming across organizational boundaries Ability to present and effectively communicate to Senior Leaders and Executives ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’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’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Associate Director, Product Marketing & GTM (Demand Generation) [Remote] | Full-time I Bangalore About the company: OneReach.AI offers a leading B2B SaaS Agentic Automation and Orchestration platform to help organizations orchestrate advanced multimodal AI agents that elevate employee and customer experience. We are a team of hundreds of AI scientists, researchers, software developers, data scientists, mathematicians, UI/UX analysts, engineers, technologists, and sales and marketing professionals. With customers ranging from Fortune 1000 enterprises to other marquee brands and industry leaders, OneReach.AI is rated as a leader by major industry analyst firms, such as Gartner, Forrester, and IDC. Generative Studio X (GSX) powers over 1.5 billion conversations per year and is trusted by leading brands; 80% of our users are non-developers. Visit https://onereach.ai to know more. About the Role: This is an exciting opportunity for B2B SaaS marketing professionals having expertise in product marketing and GTM/Demand Generation to be part of a growing and global marketing team and an innovative organization embarking on the next phase of its growth. OneReach.ai boasts of a great culture empowering individuals and teams, values work-life balance, and encourages innovation. Agentic AI is right now the fastest-evolving segment in enterprise IT and this is a great opportunity to be a part of an organization innovating at a rapid pace with a leading B2B SaaS Agentic AI Automation and Orchestration platform. This is a remote position open for Bangalore location only. Key Responsibilities: Product Marketing: Contribute to product marketing initiatives, including differentiated messaging and positioning, product marketing asset development, competitive intelligence, and sales enablement. Develop a sound understanding of the Onereach.ai product portfolio and be an expert in ideal customer profiles (ICPs), pain points and challenges of enterprises looking to adopt Agentic Automation & Orchestration platforms, and mapping those to key features and capabilities of the OneReach.ai product portfolio. GTM Strategy : Develop and execute go-to-market (GTM) plans for various regions and market segments (mid-market and large enterprises). This includes which marketing channels and programs to use for driving Demand Generation (Top Funnel Creation). Demand Generation and Marketing Programs : Manage marketing campaigns across different channels (paid digital, events, webinars, social, content marketing, organic etc.) to drive product awareness and adoption, and demand generation (Top Funnel Creation). Use marketing analytics dashboards to review performance and continuously optimize individual marketing campaigns. Cross-functional Collaboration : Collaborate with the wider Marketing, Product, Sales, Engineering, and Customer Success teams to execute impactful marketing programs. Requirements & Qualifications: Bachelor’s degree in engineering or technology. Overall experience of at least seven years, with at least five years of experience of working with B2B SaaS, enterprise software or AI platform vendors. Should have prior experience in product marketing of B2B SaaS products. Technical understanding of at least a few AI and automation technologies, such as machine learning (ML), natural language processing (NLP), deep learning, computer vision, RPA & intelligent automation, and generative AI. Strong written and verbal communication skills. Analytical skills to set up tracking/reporting mechanisms for measuring outcomes against KPIs. Excellent communication and project management skills. Self starter who can experiment and iterate fast for new initiatives. Why Join Us? Opportunity to lead high-impact marketing initiatives and be part of a global marketing team. Collaborative, fast-paced work environment. Competitive salary and benefits. Growth and learning opportunities. How to Apply? Interested? Apply now or DM us for more details!

K&K Talents is an international recruiting agency that has been providing technical resources globally since 1993 . This position is with one of our clients in India , who is actively hiring candidates to expand their teams. Title: Sr. LLM Lead – GenAI / ML (Python, Langchain) Location: Gurugram, India - Onsite Employment Type: Contract Project Duration: 6 Months Skills: Python, LangChain, Embeddings, Vector DBs (FAISS/Pinecone), Prompt Tuning, AWS/Azure/GCP Notice Period: Immediate Role: We are seeking highly skilled and experienced Senior LLM Engineers with a strong background in Machine Learning and Software Engineering who have transitioned into Generative AI (GenAI) and Large Language Models (LLMs) over the past 3–4 years. This is a hands-on engineering role focused on designing, building, and deploying GenAI-based systems using state-of-the-art frameworks and tools. The role involves active participation in architectural design, model fine-tuning, and cross-functional collaboration with business stakeholders, data teams, and engineering leaders to deliver enterprise-grade GenAI solutions. Responsibilities: ● GenAI System Design: Architect and develop GenAI/LLM-based systems using frameworks like LangChain and Retrieval-Augmented Generation (RAG) pipelines. ● Prompt Engineering & Agent Design: Implement advanced prompt engineering strategies and agent-based workflows to build intelligent, context-aware AI systems. ● Technical Roadmapping: Collaborate with product and engineering stakeholders to define and drive the technical roadmap for LLM and GenAI initiatives. ● AI Solution Delivery : Translate complex business requirements into scalable, production-ready AI solutions. ● Cross-functional Collaboration: Work closely with business SMEs, product owners, and data engineering teams to align AI models with real-world use cases. ● System Optimization: Contribute to code reviews, system architecture discussions, and performance tuning of deployed models. Required Skills: ● 7+ years of total experience in ML/Software Engineering, with 3–4 years of recent experience in LLMs and Generative AI. ● Strong proficiency in Python, LangChain, and SQL. ● Deep understanding of LLM concepts including: ○ Prompt tuning ○ Embeddings ○ Vector databases (e.g., FAISS, Pinecone) ○ Agent frameworks ● Experience working with cloud platforms such as AWS, Azure, or GCP. ● Solid understanding of ML pipelines, deployment strategies, and GenAI use cases. ● Ability to work independently and collaboratively in fast-paced, cross-functional environments. ● Strong verbal and written communication skills; ability to engage effectively with technical and non-technical stakeholders. Preferred Qualifications : ● Minimum 1+ years of hands-on experience specifically in LLM/GenAI-focused implementations. ● Experience delivering ML/AI products from prototyping through to production. ● Familiarity with MLOps, CI/CD, containerization, and scalable AI model deployment. ● Prior involvement in client-facing projects or cross-functional teams building production-ready AI systems.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. We are looking for a Staff Data Scientist to join our Silicon Verification Data Science team. In this role, you will use advanced data science, AI/ML techniques to drive efficiency, automation, and innovation in Silicon Design Verification. You will work closely with hardware engineers, verification teams, and software developers to optimize verification workflows, improve coverage, and accelerate time-to-market for cutting-edge semiconductor products. As a Staff Engineer/ Data Scientist at Micron, you will Develop AI and Data Science based solutions to build state-of-the-art solutions for silicon design verification and firmware validation. Identify patterns, anomalies, and inefficiencies in silicon design verification processes and develop solutions to address these gaps. Automate data pipelines and develop tools to support regression analysis, bug triaging, and root cause analysis. Partner with cross-functional teams to integrate data-driven solutions into EDA tools and verification frameworks. Drive technical innovation and culture within the team by participating in generating IP and inspiring team to innovate. Participate in end-to-end project scoping and stakeholder discussions to determine technical merit of the idea, vale proposition and resource requirements. Interact with subject matter experts to define scope, identify risks, deploy scalable solutions & lead multiple projects execution Continuously learn as well as mentor team on recent progress on semiconductor and AI/ML domain. Key requirements: Education: Master’s or PhD in Computer Science, Electrical Engineering, or a related field. Experience: 8+ years in data science and machine learning with at least 2 years in semiconductor verification environment Technical Skills In-depth understanding of Statistics, classical ML and deep learning, and the mathematics and formulation behind these algorithms. Well versed with text processing, various methodologies in data embedding, NLP techniques and recent advancements in GenAI and LLMs. Hands-on experience with optimization and reinforcement learning based algorithms. Solid understanding of data engineering pipeline for deployment and MLOps. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data visualization tools (e.g., Tableau, Power BI). Strong understanding of digital design and verification concepts (e.g., RTL, UVM, coverage metrics, simulation). Experience with EDA tools (e.g., Synopsys VCS, Cadence Xcelium, Mentor Questa) and verification flows is a great plus. Preferred Qualifications: Knowledge of hardware description languages (Verilog/SystemVerilog). Experience with CI/CD pipelines and MLOps practices. Patents or publications in relevant fields. Location: Hyderabad About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_india@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert : Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Cyara is the world’s leading Automated CX Assurance Platform provider, enabling leading brands across the globe to build better customer experiences faster. Through automated testing and monitoring, Cyara accelerates the delivery of flawless customer journeys across digital and voice channels while reducing the risk of customer-facing defects. Every day the most recognizable brands, including Airbnb and NAB trust Cyara to deliver customer smiles at scale. Our promise is Customer Smiles - Delivered at Scale, and as a member of Cyara’s team, you’ll be given the opportunity to bring that mission to fruition alongside our amazing community of fun-loving forward thinkers. Interested to find out more about us? Check out: www.cyara.com Want to know what it’s really like to join Cyara? Check out this link to meet some real Cyarans and read about their individual career journey with us: https://cyara.com/employee-profiles/ Cyara’s Values: At Cyara, our values shape everything we do. We're passionate about Delivering Excellence by putting the customer first, collaborating globally, and always striving to improve. We take smart risks and Innovate Boldly , setting new standards and learning from every experience. Integrity First is our cornerstone—we value humility, authenticity, and respect for diversity, building trust in all we do. We Embrace Curiosity by empowering you to experiment, learn, and grow in a dynamic environment. At Cyara, our values drive us forward, shaping a culture where innovation and excellence thrive. Cyara’s Diversity, Equity, Inclusive and Belonging: At Cyara, we are dedicated to fostering a workplace that embodies equal opportunity and champions diversity, equity, inclusion, and belonging (DEIB). We strive to cultivate an environment where every individual feels valued, respected, and empowered to bring their whole selves to work, contributing unique perspectives and talents. Our commitment includes continuously evaluating and enhancing our policies, practices, and culture to align with our DEIB principles. We ensure a discrimination-free environment where individuals are evaluated solely on their merits and abilities, regardless of legally protected statuses such as sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, or medical condition. By celebrating our differences and championing inclusivity, we enrich our organization, make more thoughtful decisions, and drive collective success. Roles & responsibilities Position: We are currently hiring for a Back-End Developer to design, build and maintaina backend API that will that provides various functionality to end-users. The backend is built on Cockroach DB and Python Flask. The successful candidate will be responsible for designing and developing new API endpoints based on the input coming from different teams and projects. In addition, you will also work on integration, maintaining and training AI/ML modelsfocused on audio quality and telephony environment. Technical Requirements: Strong command of Python (preferably 3.x) with experience in writing clean, modular, and maintainable code. Familiarity with Python libraries commonly used in Flask projects (e.g., requests and other relevant to your stack). Proficiency with SQL Alchemy Experience designing and managing database schemas and relationships (e.g., one-to-many, many-to-many) and performing migrations using Alembic. Strong understanding of relational databases (e.g., MySQL) and ability to write efficient SQL queries. Experience with Redis for caching, session management, or real-time data processing. Experience with machine learning workflows, including model training, evaluation, and deployment. Knowledge of database optimization, indexing, and transaction management. Understanding Flask concepts like routing and request handling. Solid grasp of HTTP protocols, RESTful API development, and web application architecture. Experience with API testing tools (e.g., Postman, curl) and debugging. Familiarity with version control using Git (GitHub). Familiarity with deployment tools and platforms (e.g., Docker, AWS). Knowledge of testing frameworks like pytestand unittestfor unit and integration testing. Experience required for this role: 5+ years of experience in backend development 3+ years of experience with Python Strong problem-solving skills and the ability to work collaboratively in a team environment Hands-on machine learning experience, with a focus on NLP and deep learning. Ability to work with AI/ML models and run them in a Docker environment. Understandingaudio quality parameters and audio measurements techniques. Strong knowledge of databases, including performancetuning and optimization. Proficient with version control systems, particularly Git (GitHub). Solid understanding of docker Experience working in Unix/Linux environments. Excellent communication skills, both written and verbal in English Why you should join us: At Cyara you’ll have the opportunity to work with a group of people who share common goals, are driven by a similar passion, and value the expertise of their peers. Cyara is committed to being an equal opportunity employer, focused on building and maintaining a diverse, inclusive and authentic workplace; and a work environment that is free from discrimination and harassment, based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. At Cyara we appreciate and welcome the fact that our culture is living and growing as we continue to evolve over time. With this opportunity comes the chance to enjoy a flexible work environment, competitive compensation and a work culture that's results-oriented, fast-paced and focused on continuous improvement, whilst maintaining a family first, team oriented, and ever positive atmosphere. Cyara cares for its own - you’ll feel that on your first day - and you'll get the chance to work for a global, growing company, and an all-inclusive team of innovators. Interested? Know someone who might be? Apply online now. Cyara are a Global Circle Back Initiative Employer - we commit to respond to every applicant. Agencies: Thanks but we’ve got this one! Please, no phone calls or emails to any employees of Cyara outside of the Talent Acquisition team. Cyara’s policy is to only accept resumes from Agencies via the Cyara Agency Portal. Agencies must have a valid fee agreement in place and they must have been assigned the specific requisition to which they submit resumes, by the Cyara Talent Acquisition team before submitting any CV's. Any resume submitted outside of this process will be deemed the sole property of Cyara and, in the event, a candidate is submitted outside of this policy is hired, no fee or payment of any kind will be paid

Job Description Summary We are seeking a highly experienced and innovation-driven Software Consulting Engineer to lead the architecture, design, and development of advanced software platforms and configuration tools for Transmission & Distribution (T&D) systems. This strategic leadership role drives the digital transformation of the energy sector by enabling next-generation grid automation, device orchestration, and intelligent engineering workflows. As a senior leader, you will act as the software architecture authority, collaborating with embedded, power systems, and UI/UX teams, and engaging with customers and global product teams to deliver scalable, secure, and future-ready solutions and shape the technical direction of platforms powering protection relays, grid-edge configuration, and digital substation system, integrating advanced standards, enabling AI-assisted engineering, and ensuring cloud-readiness, cybersecurity, and multi-vendor interoperability. Job Description Key Responsibilities Define the architecture and evolution of scalable, modular, and secure software platforms for T&D configuration systems, including tools for device configuration, substation engineering, and grid automation workflows. Define technical strategy and oversee the design cloud-native platforms using modern frameworks (.NET, Java, Python, TypeScript) that support desktop, edge, and cloud deployments, with emphasis on performance, resilience, and maintainability. Drive the integration IEC 61850 engineering workflows (SCL-based ICD, SCD, SSD) into intuitive, automated tooling ecosystems aligned with modern UI/UX, API design, and utility integration requirements. Ensure cross-functional alignment, acting as the authority between firmware, UI/UX, and power systems teams, enabling coherent system design and tight integration between engineering workflows and device behavior. Collaborate with cybersecurity, systems, and hardware architects to deliver secure, compliant solutions for critical infrastructure, incorporating secure development lifecycle (SDLC) and DevSecOps practices. Drive reuse of software components across product lines, fostering platform consistency, reducing duplication, and accelerating development. Oversee development and lifecycle management of configuration and commissioning tools for protection and control devices, ensuring seamless integration with SCADA/DMS/EMS and other utility systems. Conduct software and architecture reviews, ensure compliance with industry standards (IEC 61850, IEC 61968/70, CIM, IEC 62351), and manage the end-to-end software development lifecycle from requirements to deployment and support. Partner with architects, systems engineers, and utility customers to define and deliver customer-centric, technically robust solutions that improve reliability, visibility, and flexibility of grid systems. Monitor emerging technologies (cloud-native services, model-driven engineering, AI/ML) for relevance to the T&D domain and contribute to technology roadmaps, product strategy, and IP generation through patents, whitepapers, and technical forums. Mentor and guide software engineers, promote a culture of technical excellence and innovation, and represent the organization in customer engagements, RFPs, and industry events. Qualifications & Experience Bachelor’s degree in Software Engineering, Computer Science, Electrical Engineering, or a related field. Minimum of 10 years of experience in software engineering, including 5 years in a technical leadership or software architecture role. Desired Characteristics Proven track record designing and delivering software solutions for T&D systems, energy automation, or industrial control domains. Expertise in utility standards and protocols: IEC 61850, CIM, IEC 61968/70, and IEC 62351. Strong skills in modern technologies (.NET, Java, Python, JavaScript/ TypeScript), UI frameworks, backend systems, and containerized/cloud deployments. Knowledge of data modeling, API integration, network communications, and cybersecurity practices. Familiarity with configuration management systems, substation design tools, and integration with SCADA/DMS/EMS platforms is highly desirable. Exceptional leadership and communication skills with the ability to influence across technical and business teams. Experience operating in a matrixed global organization, managing distributed engineering teams. Strong analytical and problem-solving mindset focused on customer value and quality outcomes. Thought leadership through publications, standards participation, or conference speaking. Willingness to travel for key customer engagements, internal collaboration, or industry events. **For US Based Candidates - The base pay range for this position is 152,400.00 - 190,000.00 USD Annual. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for a 15% variable incentive bonus annually. This posting is expected to close on 7/28/25. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual. Additional Information Relocation Assistance Provided: No #LI-Remote - This is a remote position

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Machine Learning Engineer Job Location: Hyderabad More details below: Join a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities. See your work directly impact billions of mobile devices around the world. In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) and AI Model Efficiency Toolkit (AIMET) on Qualcomm SoCs. You will have expert knowledge of design, improvement, and maintenance of large AI software stacks using best practices. Work Experience: 1. 8-12 years of relevant work experience in software development 2. Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding of Deep Learning and Machine learning theory and practice. 3. Experience with Deep learning model development. Data transformations, model training, model design, model optimization. 4. Familiarity with various deep learning architectures and problem domains like Computer Vision, Speech recognition, NLP etc. 5. Strong development skills in Python and C++. Experience with at least one machine learning framework like TensorFlow, ONNX, Pytorch, etc. 6. Understanding of software development and debugging in embedded environments. 7. Excellent communication skills (verbal, presentation, written) 8. Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications 1. Familiarity with neural network operators and model formats including PyTorch, ONNX, and Tensorflow. 2. Familiarity with neural network optimization techniques like graph optimization, quantization, pruning, knowledge distillation, network architecture search etc. 3. Strong understanding about embedded systems, system design fundamentals. 4. Well versed in version control tools like git 5. Experience with machine learning accelerators, optimizing algorithms for hardware acceleration cores, working with heterogeneous or parallel computing systems. Educational Requirements Bachelor's/Master’s/PhD in Computer Science, Computer Engineering, or Electrical Engineering Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Principal Data Scientist JOB TITLE : Principal Data Scientist Technical Skill / Delivery: Ability to prepare model training data in BigQuery and GCS Strong SQL skills working with complex queries (Aggregate/ Window functions/CASE statements). Excellent scripting and coding skills, able to code using well defined patterns Strong Machine Learning modeling skills and MLOpsAble to build/deploy/support end to end (Data Ingestion/Prep – Model Training – Dashboard) machine learning systems. Expertise with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) Query optimization to improve data preparation performance Hands on experience with Google Data and ML Products (e.g. BigQuery, VertexAI Notebooks and Pipelines, etc.). Experience in data processing using SQL and PySpark Able to build/deploy end to end (Data Ingestion/Prep – Model Training – Dashboard) machine learning systems. Ability to lead Machine Learning projects end to end (Data Ingestion – Data Prep – Model Training – Deployment – Dashboarding). Working with JIRA/Confluence. Best Practices: Strong knowledge in DevOps/MLOps best practices Experience in using multiple ML Libraries in cross platform implementations (Python/R) Experience in Machine Learning Training/Prediction/Deployment implementation. Business Domain: Good understanding of internal data domains (e.g. Empower, Oracle, Kronos, Employee, NICE). Good understanding of Contact Center Switch data Soft Skills Ability to write clear concise code. Strong organizational skills. Able to work with cross functional teams in problem solving and adding business value with AI-ML. Strong team player. Good verbal & written communication skills Must be a fast learner Ability to document processes in the Machine Learning Lifecycle Strong team player by contributing to the innovative ideas that enhance our AI-ML capabilities. Strong documentation skills. Build strong relationship with business partners. About TTEC Our business is about making customers happy. That's all we do. Since 1982, we've helped companies build engaged, pleased, profitable customer experiences powered by our combination of humanity and technology. On behalf of many of the world's leading iconic and hypergrowth brands, we talk, message, text, and video chat with millions of customers every day. These exceptional customer experiences start with you. TTEC is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the cultures and perspectives within our global teams. We aim to reflect the communities we serve, by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued, belonging, and comfortable being their authentic selves at work. As a global company, we know diversity is our strength because it enables us to view things from different vantage points and for you to bring value to the table in your own unique way. Primary Location : India-Telangana-Hyderabad

Job Title: Big Data Trainer Location: Hyderabad (Onsite) Experience: 2+ Years Employment Type: Full-Time Job Summary: We are looking for a skilled Big Data Trainer to deliver in-person training sessions in Hyderabad. The role involves teaching Big Data technologies like Hadoop, Spark, Kafka, and NoSQL, along with guiding learners through hands-on projects and real-world datasets. Key Responsibilities: Train on Hadoop (HDFS, MapReduce), Spark, Kafka, Hive, Pig, HBase, Cassandra Conduct hands-on labs for data ingestion, ETL, streaming, and analytics Design course materials, assessments, and domain-based capstone projects Manage lab setups, clusters (on-prem/cloud), and provide technical support Stay updated with Big Data trends like Delta Lake, cloud data lakes, and governance Required Skills: Hadoop, Spark, Kafka, HBase, Cassandra, Python/Java/Scala, Cloud Platforms (AWS/GCP/Azure), ETL, Data Pipelines, Data Analytics Tools (ML, Tableau, Power BI), Strong Communication & Mentoring