1197 Aiml Jobs - Page 16

Solutions Architect / Technical Lead - AI & Automation1 Key Responsibilities Solution Architecture & Development: Design end-to-end solutions using Node.JS (backend) and Vue.JS (frontend) for custom portals and administration interfaces. Integrate Azure AI services , Google OCR , and Azure OCR into client workflows. AI/ML Engineering: Develop and optimize vision-based AI models ( Layout Parsing/LP, Layout Inference/LI, Layout Transformation/LT ) using Python . Implement NLP pipelines for document extraction, classification, and data enrichment. Cloud & Database Management: Architect and optimize MongoDB databases hosted on Azure for scalability, security, and performance. Manage cloud infrastructure (Azure) for AI workloads, including containerization and serverless deployments. Technical Leadership: Lead cross-functional teams (AI engineers, DevOps, BAs) in solution delivery. Troubleshoot complex technical issues in OCR accuracy, AI model drift, or system integration. Client Enablement: Advise clients on technical best practices for scaling AI solutions. Document architectures, conduct knowledge transfers, and mentor junior engineers. Required Technical Expertise Frontend/Portal: Vue.JS (advanced components, state management), Node.JS (Express, REST/GraphQL APIs). AI/ML Stack: Python (PyTorch/TensorFlow), Azure AI (Cognitive Services, Computer Vision), NLP techniques (NER, summarization). Layout Engineering LP/LI/LT for complex documents (invoices, contracts). OCR Technologies: Production experience with Google Vision OCR and Azure Form Recognizer . Database & Cloud: MongoDB (sharding, aggregation, indexing) hosted on Azure (Cosmos DB, Blob Storage, AKS). Infrastructure-as-Code (Terraform/Bicep), CI/CD pipelines (Azure DevOps). Experience: 10+ years in software development, including 5+ years specializing in AI/ML, OCR, or document automation . Proven track record deploying enterprise-scale solutions in cloud environments (Azure preferred). Preferred Qualifications Certifications Azure Solutions Architect Expert , MongoDB Certified Developer , or Google Cloud AI/ML. Experience with alternative OCR tools (ABBYY, Tesseract) or AI platforms (GCP Vertex AI, AWS SageMaker). Knowledge of DocuSign CLM , Coupa , or SAP Ariba integrations. Familiarity with Kubernetes , Docker , and MLOps practices.

Department: Founders Office Location: Gurgaon (Work from Office) Internship Duration: 2 Months About the Role: As an AI Intern, you will work closely with the core team to solve business problems using data-driven and algorithmic approaches. You'll contribute to high-impact projects across product development, consumer analytics, automation, and internal process optimization. Key Responsibilities: Assist in identifying and solving real-world problems using AI/ML tools and techniques Analyse data to generate actionable business insights Support development of internal dashboards, models, or automation tools Collaborate with cross-functional teams (product, marketing, operations) Present findings in a clear and structured manner Requirements: Strong interest or basic academic background in Artificial Intelligence, Machine Learning, or Data Science Familiarity with Python, data handling libraries (Pandas, NumPy), and visualization tools (e.g., Power BI, Tableau, Matplotlib) Ability to think analytically and approach problems creatively Self-starter with strong communication and collaboration skills Currently pursuing or recently completed a degree in Engineering, Statistics, Data Science, Computer Science, or related fields What Youll Gain: Exposure to real business problems and AI applications in the personal care industry Mentorship from experienced professionals in a high-growth environment Opportunity to work closely with the leadership and Founders Office

Job Title / Primary Skill: AI Engineer 2 Years of Experience: 4 to 8 years Job Location: Bangalore (Hybrid) Must Have Skills: Python/Pyspark, ML/AIMl, SQl, Azure Educational Qualification: BE/BTech/ MTech/ MCA Job Description: AI Engineer 2 role to support development and deployment of new/innovative healthcare analytics algorithms solutions across multiple deployment environments. You will be working with multi-disciplinary project teams with industry expertise, technology skills, and functional knowledge. Typical activities will include requirements gathering, design, and development of software solutions and tools for machine learning (ML) development. This will involve creating ML and algorithmic solutions to process and analyze highly complex, large-scale medical data, addressing current healthcare challenges. Requirements: Bachelors degree from a top-tier university with consistent outstanding academic record (degree in computer science or statistics is preferred) 3+ years of experience in roles focused on Machine learning tool or pipeline development to solve complex problems involving big data. Exceptional analytical and quantitative problem-solving skills Strong proficiency in Python, Pyspark and SQL Experience with machine learning algorithms & tool development Understanding of coding practices and version control software such as Git, ability to write clean and efficient code, and a good understanding of the Data Science package landscape. A proactive, innovative, and pragmatic approach to problem solving and the ability to think critically and independently, able to work as part of a cross-functional team. Bonus points for: Knowledge of containerization technologies like docker. Experience in cloud technology like Azure Experience in automated cluster management tool like Databricks Experience in an informatics/data science team of a health systems/IDN, including knowledge of healthcare data, EMR integration, types of environments used for data solution development/deployment, etc. Knowledge of supervised machine learning methods, such as regularized regressions, ensemble tree classifiers (e.g. XGBoost), support vector machines, etc Good understanding of classical statistical methods, such as fitting regression models, inference testing and sampling Responsibilities: Innovate analytical solutions on large scale healthcare data. Develop and implement algorithms using Python/Pyspark with Object Oriented methods to support scalable and reusable data processing and analysis. Develop innovative and effective approaches to solve problems and communicates results.

JD .NET Fullstack Programming Languages: Proficient in C#, .NET Core, ASP.NET, MVC, Angular/React, Web API, and Python. AI & ML Exposure: Experience with Generative AI, Large Language Models (LLMs). Frameworks & Libraries: OpenAI API, Lang Chain, and RAG techniques. Database: Proficient with SQL Server and vector databases(Pinecone/Chroma). DevOps & Deployment: CI/CD pipelines and deploying AI models. Please find the JD below: Job role: Sr. Software Engineer JD: Primary responsibilities: Analyze and understand the functional and technical requirements. Hands-on development experience with management and implementation of APIs and microservices. Experience with complex development patterns, particularly around extending/enhancing current portal capabilities. Implement solutions aligned to the enterprise strategy leveraging strategic tools/technologies, patterns, processes. Participate in Agile/Scrum development process. Communicate effectively with other engineers and QA. Setup of pro-active alerts and reports for Application availability and performance Monitoring Identify opportunities to fine-tune and optimize .Net based applications. Required Qualifications: 6+ years of experience working with .NET Technologies: C#, ASP.NET, MVC, Web API, WebServices 3+ years of experience with front-end technologies like Angular and React 4+ years of experience with SQL Server, MYSQL, Oracle or other comparable RDMS database system 3+ years with Data Modeling, T-SQL development, database performance monitoring and tuning using SQL Server, MYSQL, Oracle or other comparable RDMS databases 2+ years of experience with CI/CD tools like Jenkins, GitHub Actions 3+ years of experience with APIs / micro-services 2+ years of experience with code scanning and security tools for code vulnerability, code quality, secret scanning, penetration testing and threat modeling 2+ years of experience with unit testing frameworks Preferred Qualifications: Bachelors degree in computer science or related field Experience in the Healthcare industry Experience with authorization frameworks like oAuth 2.0, SAML or OpenID Connect Experience with APM tools like Datadog, Dynatrace, Splunk Experience with NoSQL database like MongoDB, DynamoDB Knowledge of computing concepts including API design, creating, fault tolerance, available and scalable distributed systems, multithreaded programming, performance tuning, and security Experience with Linux or Unix platform Experience with RabbitMQ Experience with Redis Experience with event steaming platforms such as Kafka Proven excellent problem-solving skills Experience with Azure DevOps, GitHub action

Role & responsibilities 1. AI Application Support Across Functions Identify AI use cases in Production, Purchase, Quality, Regulatory, and EHS. Assist in applying AI for predictive maintenance, demand forecasting, compliance, and risk analysis. Train teams on AI tools and dashboards. 2. Data Handling & Model Development Collect and clean data from ERP, SCADA, sensors, etc. Support model development, testing, and deployment. Build dashboards and automation tools using Python and Power BI. 3. AI Tool Integration & Monitoring Assist in integrating AI tools with SAP, MES, and LIMS systems. Monitor AI tool performance and suggest improvements. Maintain technical documentation and SOPs. 4. Innovation & Learning Stay updated on AI trends in manufacturing and compliance. Suggest pilot projects aligned with business goals. Participate in innovation workshops and training sessions. Preferred candidate profile Fundamentals of AI/ML, Deep Learning, and NLP. Python programming with knowledge of Pandas, Scikit-learn, OpenCV, etc. Basic understanding of manufacturing processes (preferred). Experience with Power BI/Tableau and Excel automation. Familiarity with SAP/ERP systems (advantageous). Interested candidates can apply on ahmbo@factjobs.com or call on 9265318269 . Freshers are also welcome.

Role & responsibilities 1. AI Application Support Across Functions Identify AI use cases in Production, Purchase, Quality, Regulatory, and EHS. Assist in applying AI for predictive maintenance, demand forecasting, compliance, and risk analysis. Train teams on AI tools and dashboards. 2. Data Handling & Model Development Collect and clean data from ERP, SCADA, sensors, etc. Support model development, testing, and deployment. Build dashboards and automation tools using Python and Power BI. 3. AI Tool Integration & Monitoring Assist in integrating AI tools with SAP, MES, and LIMS systems. Monitor AI tool performance and suggest improvements. Maintain technical documentation and SOPs. 4. Innovation & Learning Stay updated on AI trends in manufacturing and compliance. Suggest pilot projects aligned with business goals. Participate in innovation workshops and training sessions. Preferred candidate profile Fundamentals of AI/ML, Deep Learning, and NLP. Python programming with knowledge of Pandas, Scikit-learn, OpenCV, etc. Basic understanding of manufacturing processes (preferred). Experience with Power BI/Tableau and Excel automation. Familiarity with SAP/ERP systems (advantageous). Interested candidates can apply on ahmbo@factjobs.com or call on 9265318269 .

Required Qualifications: Undergraduate degree or equivalent experience 3+ years of experience in testing Genesys IVR applications and Conversational AI applications (including Voice BOT) 3+ years of experience in IVR Testing Tools - CYARA Velocity, CYARA Virtual Agent and CYARA Cruncher Hands-on experience in Voice BOT / NLU Testing Hands-on experience on Text-to-speech augmentation Hands on experience on SSML tags, Audio Augmentation Experience with Splunk queries and log validations Experience in call routing and skill-based testing Proven experience identifying and managing risks Proven Functional Testcase and Test data preparation Proven attention to details, strong work ethic and result orientation Proven excellent communication skills with ability to work independently and as part of a team Proven flexibility to support and manage multiple projects/deadlines simultaneously Proven ability to occasional work evening and weekend hours as required to support system deployments

Work on the ML side of product portfolio, in collaboration with project and product managers: automate and optimize data pipelines, improve models used in production to be more accurate or more efficient, etc. Use and develop machine learning and deep learning algorithms to solve applied problems in Computer Vision discipline.

Design AI models using LLMs/VLMs to automate test case creation, extract data from text/images, analyze code for testability, optimize prompts, implement AI agents, and enhance testing workflows with accurate, scalable automation. Required Candidate profile Seeking Data Scientist with 5+ yrs in AI/ML, hands-on with LLMs, VLMs, prompt engineering & AI agents. Skilled in Python, automation, data extraction, code analysis & problem-solving.

Role & responsibilities Own the technology direction and roadmap for the technology assets for commercial and speciality lines. Collaborates closely with the senior leadership to develop and implement strategic initiatives and roadmaps that drive innovation, enhance efficiency, and contribute to maintaining the competitive edge in the market Own the Platform performance, scalability and other aspects. Serve as the technical authority and decision-maker for key architecture and design initiatives, especially those that are of high risk or new technology Hands on Keyboard technical proficiency. Serves as a trusted advisor, leveraging technical expertise to own and make strategic decisions and initiatives and plays an important role in elevating technical decision-making process and acts as a technological leader. Promotes and facilitates cross-functional collaboration to ensure technical decisions support overall business strategy Serves as a mentor and fosters internal growth as it relates to engineering capabilities within the team Develop shared software engineering frameworks, APIs, and toolkits to streamline integration into production applications. Define and enforce software engineering best practices, ensuring consistency across model development, deployment, and monitoring Identify opportunities for innovation and continuous improvement and act as an agent of change by championing innovative ideas and initiatives to improve processes Stay abreast of industry trends, emerging technologies and best practices, assess the potential impact of new technologies on the organization and recommend adoption strategies Coordinate with Experts in various technical forums, both internally and externally. Recognized as an active member of the tech community and promotes technology within and outside the organization Preferred candidate profile Bachelors or Masters degree in Compute Science, Engineering or related field. 10+ years of experience in software development, with at least 3+ years in technical leadership role Strong understanding of software architecture principles and system design patterns and AI/ML concepts and frameworks Deep expertise with Angular, Java, Spring boot, Database (SQL & NoSQL) and experience with Cloud platforms (such as AWS, Azure, GCP), microservices, and distributed systems Proven ability to design scalable, resilient systems in production environments Extensive knowledge of DevSecOps and observability tools. Proven leadership in mentoring software engineers and building global technical communities. Excellent analytical and problem-solving skills. Ability to tackle complex technical challenges and to navigate ambiguity. Excellent communication and stakeholder management skills to bridge the gap between software development teams and business leaders. Ability to convey complex technical information to diverse audiences.

You have an exciting opportunity to join KPMG in India as a Data Science Manager/Senior Manager based in Gurgaon with 9-16 years of experience. In this role, you will lead AI/ML initiatives, drive GenAI strategy, architect scalable solutions, mentor teams, collaborate with stakeholders, and ensure responsible AI practices. Your responsibilities will include leading AI/ML projects from concept to production, guiding technical reviews, promoting best practices, and translating business needs into data-driven solutions. You should have 9+ years of experience in data science/software engineering, proficiency in Python, SQL, Docker, and cloud platforms, as well as hands-on experience with ML algorithms, feature engineering, and model deployment. KPMG in India is a reputable professional services firm known for its industry-focused and technology-enabled services. The firm operates from 14 cities across the country and is committed to quality, excellence, growth, innovation, and collaboration. If you are a data science professional with strong communication, leadership, and project management skills, this role might be the perfect fit for you. KPMG in India is an equal opportunity employer. Join us in our journey of providing informed and timely business advice to clients, helping them mitigate risks and seize opportunities in a rapidly evolving industry landscape.,

As a Senior Manager, Software Test Engineering at Trintech, you will play a crucial role in leading the QA strategy and execution for our technology solutions. Your responsibilities will include driving quality, reliability, and innovation while nurturing a high-performance, collaborative QA culture. You will be instrumental in leading test automation, process improvement, and the development of scalable testing frameworks. Your strategic and leadership responsibilities will involve defining and implementing a QA strategy aligned with business and product goals, leading the development of scalable testing methodologies, and serving as a QA thought leader by driving innovation, tools adoption, and best practices. You will also be responsible for fostering a culture of ownership, excellence, and continuous improvement while representing QA in cross-functional forums to influence technical and strategic decisions. In terms of test execution and automation, you will lead end-to-end QA activities across functional, automation, integration, and performance testing. Your role will also involve building reusable automation frameworks to enhance test speed, coverage, and reliability, as well as incorporating AI/ML to optimize test coverage, reduce defect rates, and streamline test design. Identifying automation opportunities and minimizing manual test overhead will be key priorities. You will also be tasked with designing test data and environment strategies to support complex test scenarios, implementing metrics dashboards for quality KPIs, and monitoring team performance through structured productivity metrics and feedback loops. Ensuring QA practices adhere to internal standards and external compliance requirements, optimizing resource allocation and utilization, and partnering with Product, Engineering, and Delivery teams for high-quality, timely releases are among your governance and process excellence responsibilities. Additionally, you will lead, coach, and develop a high-performing QA team, design training programs to enhance engineers" skills in tools, techniques, and leadership, and promote a feedback-rich culture with clear expectations and growth paths. Your qualifications include a Bachelor's degree in computer science, Engineering, or a related field, 15+ years of QA experience with at least 5 years in leadership roles, and expertise in test automation frameworks and CI/CD tools. Strong communication, stakeholder management, and people management skills are essential, along with a proven track record in strategic QA planning and execution. As a cultural fit, you should be a strategic thinker with a bias for action and execution, an inspiring leader with high emotional intelligence and team-building skills, a confident communicator who simplifies complexity for varied audiences, and possess strong analytical, organizational, and problem-solving abilities. Championing continuous learning, improvement, and integrity will align with Trintech's core values of Humble, Empowered, Reliable, and Open, guiding our actions and inspiring us to strive for excellence. Trintech, headquartered in Plano, Texas, has offices worldwide and is committed to fostering a culture rooted in core values that drive our identity and quest for excellence.,

Were seeking a seasoned Technical Lead with a strong grounding in AI to drive our next-generation software initiatives. You’ll partner with cross-functional teams to architect, develop, and deliver scalable solutions, while mentoring developers and overseeing quality across the full SDLC. Key Responsibilities Solution Architecture & Design: Lead end-to-end technical design for AI-driven features, ensuring alignment with business goals and scalability requirements. Hands-on Development: Contribute to and guide development in .NET (Core and Framework) and React.js for front-end interfaces. Code Quality & Reviews: Establish and enforce coding standards; conduct systematic code reviews to maintain high quality and best practices. CI/CD Pipeline Ownership: Design, implement, and optimize automated build, test, and deployment pipelines (e.g., Azure DevOps, Jenkins, GitHub Actions). AI Integration: Evaluate and integrate AI/ML components—models, APIs, and services—into existing and new applications. QA Team Management: Oversee QA planning and execution; define test strategies, delegate tasks, and ensure defect resolution and release readiness. Technical Leadership & Mentorship: Coach and mentor developers; foster a culture of continuous learning and innovation. Stakeholder Collaboration: Work closely with Product, UX, and Operations teams to translate requirements into robust technical solutions. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 6+ years of software development experience, with at least 3 years in a technical lead capacity. Proven expertise in .NET (C#, ASP.NET Core) and React.js . Strong understanding of AI/ML concepts and hands-on experience consuming AI services (e.g., Azure Cognitive Services, TensorFlow, PyTorch integrations). Deep familiarity with CI/CD tools and practices—automated builds, deployments, and infrastructure as code. Demonstrated ability to conduct code reviews and enforce best practices (SOLID principles, design patterns). Experience managing and scaling a QA team , defining test frameworks, and driving quality metrics. Excellent problem-solving skills and ability to craft end-to-end technical solutions . Strong communication skills, with experience liaising between technical teams and business stakeholders. Work from office full-time. Desirable Skills Hands-on with Docker, Kubernetes, or other container orchestration platforms. Familiarity with cloud platforms (Azure, AWS, or GCP) and serverless architectures. Experience in Agile/Scrum methodologies and tools (JIRA, Confluence). Prior exposure to data engineering or DevOps practices. ole & responsibilities Preferred candidate profile

. Overall Focus: Designing, developing, training, deploying, and maintaining AI/ML models, encompassing both classical machine learning techniques and advanced Generative AI/Large Language Models (LLMs). General Responsibilities (Applicable to all AI/ML Engineers): Data preprocessing, feature engineering, model selection, and rigorous hyperparameter tuning. Developing robust and scalable APIs for AI/ML model consumption and integration. Implementing MLOps practices for model monitoring, performance tracking, and automated retraining strategies. Continuously researching and applying advancements in the AI/ML field to project work Required Specialized Skill Sets & Experience: A. Classical Machine Learning (Essential expertise): Deep practical expertise in algorithms such as regression, classification, clustering, anomaly detection, dimensionality reduction, time series analysis, etc. Strong statistical foundation, experimental design, and model evaluation techniques (e.g., cross-validation, precision/recall, ROC/AUC, F1-score). B. Generative AI & LLMs (Essential expertise): Core GenAI Development: Proficiency with open-source GenAI frameworks and libraries (e.g., Hugging Face Transformers, LlamaIndex, Langchain, FAISS). Deep experience in developing and fine-tuning RAG (Retrieval Augmented Generation) based GenAI solutions. Hands-on experience architecting and utilizing major cloud-based GenAI platforms (e.g., AWS Bedrock, Azure OpenAI Service, Google Vertex AI). Applied GenAI Capabilities: Leveraging various GenAI models for tasks such as: Text Processing: Advanced summarization, complex question answering, nuanced text generation, semantic search, knowledge extraction, and high-quality embedding generation. Image Processing (as relevant): Image generation/manipulation, content analysis, object recognition leveraging foundation models. Video Processing (as relevant): Video content analysis, summarization, event detection using GenAI approaches. Fundamental GenAI Understanding: Thorough understanding and practical strategies for addressing bias and hallucination in LLMs. Expertise in vector embeddings , various similarity comparison techniques (e.g., cosine similarity, dot product), and the practical differences between keyword-based vs. semantic search . C. Essential Cross-Cutting Experience (Relevant across the AI/ML team): Document Management & Processing: Strong experience with advanced OCR technologies and document digitization workflows. Proven ability in information extraction from diverse document types (structured, semi-structured, unstructured PDFs, images) and document understanding using ML/AI techniques. D. Desirable (Good to Have) Experience: Agentic AI Experience designing or implementing AI agents or multi-agent systems. MCP (Model Compliance/Criticality/Card Platform - please specify if this means something else in your context ) Relevant Project Experience: Experience aiwith platforms or processes for model governance, documentation, risk assessment, or similar.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The AI SW team at Qualcomm is focused on advancing state-of-the-art in Artificial Intelligence across various business segments, including Mobile, AR & VR Technology, IoT, and Auto ADAS. The AISW stack leverages Qualcomm chips' extensive heterogeneous computing capabilities, enabling the running of trained neural networks on devices without needing a cloud connection. This allows neural network models trained in various frameworks on Snapdragon platforms to run at blazing speeds while consuming minimal power. As a Senior Lead Engineer, you will see your work directly impact billions of devices worldwide. Key Responsibilities: Design, develop, and maintain high-quality software solutions using Python for running machine learning models on Qualcomm devices. Contribute to the development and optimization of AI models, using popular frameworks like Pytorch. Build tools and infrastructure for onboarding, debugging and analysis of AI models. Participate in code reviews and ensure adherence to best practices and coding standards. Debug accuracy and performance on devices, addressing any challenges that arise. Collaborate with cross-functional teams to define, design, and ship new features. Own end-to-end development and release of features and lead and mentor a sub-team of engineers. Minimum Qualifications: Bachelors degree in engineering, Computer science or a related field and 5+ years of professional experience in software engineering or related work experience OR Masters degree in engineering, Computer science or a related field and 4+ years of experience of Software engineering or related work experience Solid understanding of fundamental computer science concepts, general programming principles and practices. 4+ years of hands-on professional experience in programming with Python (preferred) / Java / C++. Strong problem-solving skills and the ability to work independently and as part of a team. Basic knowledge of AI concepts and techniques Excellent communication skills and the ability to articulate complex technical concepts. Willingness to learn advanced concepts in AI and machine learning and keep updated with latest industry trends Preferred Qualifications: Experience with machine learning frameworks and tools such as PyTorch, ONNX. Familiarity with Large Language Models (LLMs) and Transformers Familiarity working with Linux systems and hardware devices Experience with mobile development frameworks and tools (e.g., Android SDK, Kotlin). Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. 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 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.

Job Area: Engineering Group, Engineering Group > Hardware 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 Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems, Digital/Analog/RF/optical systems, equipment and packaging, test systems, FPGA, and/or DSP systems that launch cutting-edge, world class products. Qualcomm Hardware Engineers collaborate with cross-functional teams to develop solutions and meet performance requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience. OR Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience. OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field. Join our team to drive diagnostics and yield improvement for cutting-edge memory technologies. Youll work on memory BIST development, memory fault modelling, and post-silicon debug across SRAM, MRAM, and DRAM. Collaborate with cross-functional teams to integrate diagnostics into high-volume systems. Candidates must have a minimum 4+ years of experience. E xperience with tools like Tessent, LogicVision, or SMS is highly valued, and familiarity with ML-based yield learning is a plus 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 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.

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. Job LocationHyderabad Staff Engineer (AISW) Job LocationHyderabad More details below About the team Join the growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips extensive heterogeneous computing capabilities to allow inference of trained neural networks on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of devices around the world. Responsibilities In this position, you will be responsible for the development and commercialization of ML solutions like Snapdragon Neural Processing Engine (SNPE) SDK on Qualcomm SoCs. You will be developing various SW features in our ML stack. You would be porting AI/ML solutions to various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU). You will have expert knowledge in deployment aspects of large software C/C++ dependency stacks using best practices. You will also have to keep up with the fast-paced development happening in the industry and academia to continuously enhance our solution from software engineering as well as machine learning standpoint. Work Experience 9+ years of relevant work experience in software development. Live and breathe quality software development with excellent analytical and debugging skills. Strong understanding about Processor architecture, system design fundamentals. Strong development & programming skills in C and C++. Experience with embedded systems development or equivalent.Excellent communication skills (verbal, presentation, written). Ability to collaborate across a globally diverse team and multiple interests. Preferred Qualifications Experience in embedded system development. Experience in C, C++, OOPS and Design patterns. Experience in Linux kernel or driver development is a plus. Strong OS concepts. 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 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.

Job Area: Engineering Group, Engineering Group > Systems 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 Systems Engineer, you will research, design, develop, simulate, and/or validate systems-level software, hardware, architecture, algorithms, and solutions that enables the development of cutting-edge technology. Qualcomm Systems Engineers collaborate across functional teams to meet and exceed system-level requirements and standards. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Job Overview Work with Qualcomm's security architecture / IP and access control team on next generation SOC for smartphone, tablet, automotive and IOT product categories. is responsible for assisting product development teams throughout the company to apply secure HW design principles to individual blocks, computing cores, and at the SoC level. SW/HW co-design, HW development experience. Familiarity with debug architectures such as JTAG and ARM coresight are a plus Successful candidates will be able to engage with product teams independently with minimal supervision to detect and mitigate security vulnerabilities in hardware architecture and implementations, involve in access control issues at both SW and HW. Minimum Qualifications 6 to 12 years of industry or academic experience in Security are required. Additionally, applicants must have expertise in two or more of the following areas: Computer architecture and hardware based or assisted access control and security Mobile platform security, Secure Boot, Secure Storage, Access Control, Secure Debug, DDR protection ARM TrustZone, Virtualization Operating system security and hypervisor security languagesC/C++, Python, RTL Teamwork across various teams and geolocations. Able to communicate in English, both verbal and written. Preferred Qualifications The following skills/experience will be considered a plus: ARM architecture SoC security design Applied Cryptography Trusted Computing Working Knowledge on hardware firewalls for access control Knowledge on AI/ML is added advantage SystemVerilog, VHDL, Verilog, SystemC - FPGA/ASIC design is a plus Side channel attacks, power analysis and timing attacks on crypto elements is a plus Memory technology (DDR4, DDR5), storage technologies is (eMMC, UFS) is a plus Educational Requirements: RequiredBachelor degree and above, Computer Engineering and/or Electrical Engineering Experience Requirements: Bachelors/ Masters with 5-7+ years Systems Engineering or related work experience 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 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.

Profile- Vice President of Technology / Head of Technology / IT Delivery Head Location: Sector 63, Noida, Onsite About the Role:- Were launching a cutting-edge digital transformation consulting firm offering services i n AI, Cloud, CRM, QA/QE, Blockchain, and Custom Software . We are hiring a founding VP of Technology strategic and hands-on leader to define our tech roadmap, build and scale delivery teams, and drive client-facing engagements. This is a player-coach role requiring deep technical expertise, consulting experience, and leadership in solutioning and execution. Ideal candidates will have experience working with U.S. and European clients, especially in IT consulting. Key Responsibilities:- Define the companys technical vision, architecture, and service capabilities Build and lead a cross-functional engineering, QA, and data team Lead and deliver cloud, AI, CRM, QA, and blockchain-based solutions Collaborate with sales to develop technical proposals, SOWs, and client documentation Participate in pre-sales calls, demos, and technical presentations Oversee delivery execution using Agile practices and DevOps tools Ensure compliance with security, privacy, and industry regulations What Were Looking For:- Education &Certifications Bachelors in Computer Science, Engineering, or related field (Masters preferred) Certifications (AWS, Azure, Salesforce, PMP, etc.) are a plus Experience 10 -15+ years in technology leadership; 5+ years in client-facing IT consulting Experience with technical proposal writing, SOW creation, and client-facing documentation Hands-on background in software architecture, engineering, and solutioning Strong record of building technical teams and delivering client projects Familiarity with both U.S. and European market expectations and delivery models Technical Skills Cloud & DevOps: AWS, Azure, CI/CD pipelines, cloud strategy AI & Data: Machine learning, RPA, data lakes, data engineering, BI Software Dev: Java, Python, SQL, mobile/web apps, enterprise platforms CRM: Salesforce implementation, integration, and data migration QA/QE: Test automation frameworks, performance testing, strategy Blockchain: Consulting or integration experience a plus Agile project management, API architecture, cybersecurity awareness Soft Skills Strong communication and leadership presence Skilled in translating business needs into technical roadmaps Confident in solution-selling and stakeholder engagement Entrepreneurial mindset; thrives in fast-paced environments To apply, please send your updated resume to rajni@apetan.com or reach out at 8595023843 for further details.

All Peoples Church & World Outreach is looking for AI/ML Software Engineer to join our dynamic team and embark on a rewarding career journey Developing and directing software system validation and testing methods. Directing our software programming initiatives Overseeing the development of documentation. Working closely with clients and cross-functional departments to communicate project statuses and proposals. Analyzing data to effectively coordinate the installation of new systems or the modification of existing systems. Managing the software development lifecycle. Monitoring system performance. Communicating key project data to team members and building cohesion among teams. Developing and executing project plans. Applying mathematics and statistics to problem-solving initiatives. Applying best practices and standard operating procedures. Creating innovative solutions to meet our companys technical needs. Testing new software and fixing bugs. Shaping the future of our systems.

Design, develop, and maintainenterprise-grade integrations specifically for SAP ECC and S/4HANA environments Build and optimize SAP-specificconnectors using SAP PI/PO , SAP CPI , IDocs , BAPIs , and OData services Develop custom ABAP programs andenhancements for data extraction and transformation Implement real-time and batchintegration scenarios using SAP ALE/EDI frameworks Configure and maintain SAP RFC connections and web serviceintegrations Design and implement SAP Fiori and Gateway services for modern integration requirements Create reusable SAP integrationtemplates, function modules, and technical documentation Work with SAP functional modulesincluding FI/CO , MM , SD , and FICO forcomprehensive data mapping Troubleshoot complex SAPintegration issues and optimize performance of data extraction jobs Collaborate with customer SAPBasis and functional teams for seamless deployments Ensure compliance with SAPsecurity standards and data governance policies Provide technical expertise duringcustomer onboarding and SAP system assessments Required Qualifications 6+ years of hands-on experiencewith SAP integration and development Strong ABAP programming skills with experience in reports, enhancements,and custom development Extensive experience with SAP PI/PO or SAP CPI (Cloud Platform Integration) Deep knowledge of IDocs , BAPIs , RFCs , and ALE distribution Experience with SAP S/4HANA migration projects andintegration challenges Proficiency in SAP Web Services , OData , and REST API integration Understanding of SAP functionalmodules, especially Financial Accounting(FI) and Materials Management (MM) Experience with SAP securityconcepts, authorizations, and role management Strong knowledge of XML , XSLT , and data transformation techniques Familiarity with SAP transportmanagement and change control processes Bachelors degree in ComputerScience, Information Technology, or related field SAP Certification in Integration orDevelopment track is highly preferred Preferred Qualifications Experience with SAP BTP (Business Technology Platform) and cloud integration scenarios Knowledge of SAP Ariba , SAP Concur ,or SAP Fieldglass integrations Familiarity with SAP Master Data Governance (MDG) Experience with SAP Solution Manager for integrationmonitoring Understanding of SAP HANA database and CDS views Experience with integrationplatforms like MuleSoft , Workato , Boomi , or Jitterbit inSAP contexts Knowledge of Python, Golang or Java for hybrid integration scenarios Masters degree in relevant field Fluency in English; additionallanguages are a plus Technical Environments Primary: SAP ECC 6.0, SAP S/4HANA,SAP PI/PO 7.5, SAP CPI Integration: IDocs, BAPIs, RFCs,Web Services, OData Development: ABAP, Core DataServices (CDS), SAP UI5 Tools: SAP Solution Manager, SAPTransport Management, SAPGui, Eclipse ADT

What You'll Do We are looking for accomplished Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping, development, and delivery of the LLM platform features. You will build core agent infrastructureA2A orchestration and MCP-driven tool discoveryso teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, ML Engineering. What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Drive innovation by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's technical expertise. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, promoting a culture of collaboration and Engineering expertise. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful 6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Demonstrated experience staying current with breakthroughs in AI/ML, with a focus on GenAI. Experience with design patterns and data structures. Technologies you will work with: Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana We are the AI & ML enablement group in Avalara. We empower Avalara's Product and Engineering teams with the latest AI & ML capabilities, driving easy-to-use, automated compliance solutions that position Avalara as the industry AI technology leader and the go-to choice for all compliance needs.

Role Overview:As a Principal Software Engineer, you will be a key contributor to the design, development, and deployment of advanced AI and generative AI-based products. You will drive technical innovation, lead complex projects, and collaborate closely with cross-functional teams to deliver high-quality, scalable, and maintainable solutions. This role requires a strong background in software development, AI/ML techniques, and DevOps practices, along with the ability to mentor junior engineers and contribute to strategic technical decisions. Responsibilities: Advanced Software DevelopmentDesign, develop, and optimize high-quality code for complex software applications and systems, maintaining high standards of performance, scalability, and maintainability. Drive best practices in code quality, documentation, and test coverage. GenAI Product DevelopmentLead end-to-end development of generative AI solutions, from data collection and model training to deployment and optimization. Experiment with cutting-edge generative AI techniques to enhance product capabilities and performance. Technical LeadershipTake ownership of architecture and technical decisions for AI/ML projects. Mentor junior engineers, review code for adherence to best practices, and ensure the team follows a high standard of technical excellence. Project OwnershipLead execution and delivery of features, managing project scope, timelines, and priorities in collaboration with product managers. Proactively identify and mitigate risks to ensure successful, on-time project completion. Architectural DesignContribute to the architectural design and planning of new features, ensuring solutions are scalable, reliable, and maintainable. Engage in technical reviews with peers and stakeholders, promoting a product suite mindset. Code Review & Best PracticesConduct rigorous code reviews to ensure adherence to industry best practices in coding standards, maintainability, and performance optimization. Provide feedback that supports team growth and technical improvement. Testing & Quality AssuranceDesign and implement robust test suites to ensure code quality and system reliability. Advocate for test automation and the use of CI/CD pipelines to streamline testing processes and maintain service health. Service Health & ReliabilityMonitor and maintain the health of deployed services, utilizing telemetry and performance indicators to proactively address potential issues. Perform root cause analysis for incidents and drive preventive measures for improved system reliability. DevOps OwnershipTake end-to-end responsibility for features and services, working in a DevOps model to deploy and manage software in production. Ensure efficient incident response and maintain a high level of service availability. Documentation & Knowledge SharingCreate and maintain thorough documentation for code, processes, and technical decisions. Contribute to knowledge sharing within the team, enabling continuous learning and improvement. Minimum Qualifications: Educational BackgroundBachelors degree in Computer Science, Engineering, or a related technical field; Masters degree preferred. Experience6+ years of professional software development experience, including significant experience with AI/ML or GenAI applications. Demonstrated expertise in building scalable, production-grade software solutions. Technical ExpertiseAdvanced proficiency in Python, FastAPI, PyTest, Celery, and other Python frameworks. Deep knowledge of software design patterns, object-oriented programming,and concurrency. Cloud & DevOps ProficiencyExtensive experience with cloud technologies (e.g., GCP,AWS, Azure), containerization (e.g., Docker, Kubernetes), and CI/CD practices. Strong understanding of version control systems (e.g., GitHub) and work tracking tools (e.g., JIRA). AI/GenAI KnowledgeFamiliarity with GenAI frameworks (e.g., LangChain, LangGraph), MLOps, and AI lifecycle management. Experience with model deployment and monitoring in cloud environments. Preferred Qualifications: AI & Machine LearningHands-on experience with advanced ML algorithms, including generative models, NLP, and transformers. Knowledge of industry-standard AI frameworks (e.g.,TensorFlow, PyTorch) and experience with data preprocessing and model evaluation. Data & Analytics ToolsProficiency with relational and NoSQL databases (e.g., MongoDB,MSSQL, PostgreSQL) and analytics platforms (e.g., BigQuery, Snowflake, Tableau). Experience with messaging systems (e.g., Kafka) is a plus. Testing & QualityExperience with test automation tools (e.g., PyTest, xUnit) and CI/CD tooling such as Terraform and GitHub Actions. Strong emphasis on building resilient and testable software. Advanced Cloud KnowledgeProficiency with GCP technologies such as VertexAI, BigQuery, GKE, GCS, and DataFlow, with a focus on deploying AI models at scale Where were going UKG is on the cusp of something truly special. Worldwide, we already hold the #1 market share position for workforce management and the #2 position for human capital management. Tens of millions of frontline workers start and end their days with our software, with billions of shifts managed annually through UKG solutions today. Yet its our AI-powered product portfolio designed to support customers of all sizes, industries, and geographies that will propel us into an even brighter tomorrow! """"" Disability Accommodation" UKGCareers@ukg.com

Job Summary We are seeking a detail-oriented and technically proficient GenAI Tester to validate and ensure the quality of Generative AI solutions. This role involves testing AI models, APIs, and integrated systems with a focus on Python-based automation, FastAPI endpoints, and advanced GenAI components such as Agentic AI and Vector Databases. Key Responsibilities - Design and execute test plans for GenAI applications and services. - Develop automated test scripts using Python for FastAPI endpoints and AI workflows. - Validate the functionality and performance of Agentic AI systems and Vector DB integrations. - Collaborate with developers and data scientists to understand model behavior and expected outcomes. - Perform regression, integration, and performance testing on GenAI components. - Document test cases, results, and defects with clarity and precision. - Ensure secure and ethical testing practices in alignment with organizational standards. Required Qualifications - Bachelors degree in Computer Science, Engineering, or related field. - 3+ years of experience in software testing, preferably in AI/ML environments. - Proficiency in Python and FastAPI for test automation. - Understanding of Generative AI concepts including Agentic AI and Vector Databases. - Experience with API testing tools and frameworks. - Strong analytical and problem-solving skills. Preferred Qualifications - Experience with MLOps and AI model lifecycle testing. - Knowledge of secure architecture and authentication/authorization mechanisms. - Familiarity with cloud-based testing environments (AWS, Azure, GCP). - Certifications in software testing or AI quality assurance. Why Join Us? Join a forward-thinking team dedicated to building and validating cutting-edge Generative AI solutions. Youll have the opportunity to work with innovative technologies, collaborate with top-tier professionals, and contribute to the development of secure and high-performing AI systems.

About the Role We are looking for an experienced and visionary Generative AI Architect with 10-15 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions . In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences. As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements. Key Responsibilities GenAI Solution Architecture & Design Lead the design and development of scalable GenAI solutions leveraging LLMs , diffusion models , and multimodal architectures . Architect end-to-end pipelines involving prompt engineering , vector databases , retrieval-augmented generation (RAG) , and LLM fine-tuning . Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral ) based on business needs and technical constraints. Technical Strategy & Leadership Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. Guide teams on model evaluation, inference optimization , and cost-effective scaling strategies . Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks. Collaboration & Delivery Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field . PhD is a plus. Experience: 12-15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures . Required Skills Core Skills Deep expertise in machine learning , natural language processing (NLP) , and deep learning architectures . Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT) , and prompt engineering . Proficient in Python , with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow . Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines . Strong understanding of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills Proven ability to design and deliver scalable, secure, and efficient GenAI systems . Strong communication skills for cross-functional collaboration and stakeholder engagement. Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem. Nice-to-Have Experience with multimodal models (text + image/audio/video). Knowledge of AI governance, ethical AI, and compliance frameworks . Familiarity with MLOps practices for GenAI , including model versioning, drift detection, and performance monitoring.