Embeddings Jobs in Hyderabad

Sr Engineer/Sr. Lead - Generative AI Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced Machine Learning Engineer specializing in Generative AI to join our core AI team. In this role, you will develop and deploy advanced generative AI systems, focusing on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and intelligent agent frameworks. Minimum Qualifications Bachelor's degree and 3+ years of software engineering experience, or Master's degree and 2+ years, or Ph.D. with 1+ year of related experience 2+ years of academic or work experience in programming languages such as C, C++, Java, or Python Key Responsibilities Design and implement RAG-based solutions integrating LLMs with external knowledge sources Fine-tune LLMs for specific domains and use cases Develop evaluation frameworks to benchmark and improve generative model performance Build and manage agentic workflows for autonomous AI systems Collaborate with product, engineering, and research teams on AI integration Required Qualifications Bachelor's or Master's in Computer Science or related field 3+ years of experience in Machine Learning/AI engineering Expertise in Python and ML libraries/frameworks like PyTorch and TensorFlow Hands-on experience deploying and fine-tuning LLMs Experience with vector databases and embedding models Familiarity with AI/ML infrastructure on cloud platforms (AWS, GCP, Azure) Strong understanding of RAG architecture Preferred Qualifications Experience with Langchain, LlamaIndex, or Hugging Face Transformers Knowledge of prompt engineering and chain-of-thought reasoning Experience with microservices and containerization (e.g., Docker, Kubernetes) Background in NLP, deep learning, and reinforcement learning Contributions to open-source AI projects Familiarity with MLOps and model deployment pipelines Skills & Competencies Strong problem-solving and analytical mindset Excellent communication and collaboration skills Ability to manage multiple projects in agile environments Focus on clean, maintainable, and efficient code Awareness of ethical AI practices and responsible development Qualification : Bachelor's or Master's in Computer Science or related field

When you mentor and advise multiple technical teams and move financial technologies forward, it s a big challenge with big impact. You were made for this. As a Senior Manager of Software Engineering at JPMorgan Chase within the Consumer and Community Banking, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities. Job responsibilities Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks Be accountable for decisions that influence teams resources, budget, tactical operations, and the execution and implementation of processes and procedures Ensures successful collaboration across teams and stakeholders Identifies and mitigates issues to execute a book of work while escalating issues as necessary Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team Leads teams to deliver engineering results with direct business and customer impacts, on time and on budget. Works has impact to immediate team and impacts additional teams and functions. Partners with product, architecture, and other engineering teams to define scalable and performant technical solutions. Leverages deep technical expertise to design extensible and scalable solutions, and to coach and grow individuals and teams. Ensures team executes work according to compliance standards, SLAs, and business requirements, to meet the objectives of an initiative. Anticipates the needs of broader teams and potential dependencies with other teams. Identifies and mitigates issues to execute a book of work while escalating issues as necessary. Proactively helps maintain high operational excellence standards for our production systems. Encourages development of technological methods and techniques within team. Coaches agility lead and team to effectively leverage Agility practices. Creates a culture of diversity, equity, inclusion, and respect for team members and prioritizes diverse representation. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Experience leading teams of technologists Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives Experience with hiring, developing, and recognizing talent In-depth knowledge of the services industry and their IT systems Experience leading at least two scrum teams of technologists. Ability to guide and coach teams on approach to achieve goals aligned against a set of strategic initiatives. Experience with hiring, developing, and recognizing talent. Requires depth of knowledge and experience in two of the following areas, with developing knowledge in the others. High throughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB, etc. High throughput near real time stream processing with services such Kinesis, Flink, ECS, EKS, etc. High volume feature engineering with services such EMR. Experience leveraging trained model artifacts in newer model architectures and approaches such as neural networks, embeddings, multi arm bandits, etc. Prior hands-on coding experience with two or more of Java, Python, SQL. Experience with recommendation and personalization systems is a plus. Preferred qualifications, capabilities, and skills Experience working at code level

AI Solution Architect Full-Time | Hyderabad, India Department: Engineering Experience: 10+ years in AI/ML Location: On-site | Hyderabad, Telangana Salary: Competitive, based on experience About the Role We are looking for an experienced and visionary AI Solutions Architect to design, build, and scale advanced AI/ML solutions as part of our cutting-edge ZL Platform. This role requires deep technical expertise in machine learning, large language models (LLMs), model deployment, and a strong understanding of customer-driven product development. You'll collaborate with cross-functional teams Engineering, Product, Sales to translate business needs into impactful AI systems. Key Responsibilities Architect and lead the development of scalable AI/ML solutions integrated with the ZL Platform. Partner with Engineering, Product, and Sales teams to deliver PoC (proof of concept) demos and ensure successful customer adoption. Take ownership of AI and machine learning components, ensuring high quality, maintainability, and performance. Collaborate directly with customers and stakeholders to understand business problems and deliver technically sound solutions. Stay current with AI research and industry trends including model quantization, transformers, and vector databases and integrate advancements into platform architecture. Fine-tune and deploy LLMs (Large Language Models) using frameworks like PyTorch and Hugging Face Transformers. Provide mentorship to engineering teams and contribute to a culture of technical excellence and innovation. Optimize models for deployment in real-world environments with a focus on latency, scalability, and resource efficiency. Translate business problems into AI opportunities and present solutions to internal and external stakeholders. Preferred Skills & Expertise Strong background in deep learning, natural language processing (NLP), and LLMs. Experience with PyTorch, transformers, and AI model quantization and deployment. Production-level experience in deploying ML models in enterprise SaaS environments. Working knowledge of vector databases and semantic search optimization. Proven experience in PoC development, technical solution design, and delivering enterprise AI solutions. Familiarity with cloud platforms (e.g., Azure AI, AWS, GCP) for model hosting and orchestration. Qualitative Expectations Strong ownership mindset you own problems end-to-end and proactively fill knowledge gaps to deliver solutions. Thrive in fast-paced, evolving environments with loosely defined problems and multiple priorities. Excellent communicator with the ability to present technical concepts to both technical and non-technical audiences. Passionate about learning and sharing findings with peers; an enthusiastic self-starter and collaborator. Strong track record of innovation and continuous improvement. Education & Experience Master s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. 10+ years of professional experience in AI/ML, with hands-on experience designing, deploying, and scaling machine learning systems in production. Work at the forefront of enterprise AI and LLM innovation. Collaborate with world-class engineering, research, and product teams. Contribute to the development of AI products used by global enterprises. Competitive compensation and professional growth opportunities. Apply now to join us as an AI Solution Architect in Hyderabad. Qualification : Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline.

Manager Talent Development, Human Capital Location: Hyderabad Company: Arcesium Company Overview Arcesium is a global financial technology firm dedicated to solving complex, data-driven challenges for some of the world s most sophisticated financial institutions. Through continuous innovation, we help our clients achieve transformational business outcomes by designing advanced and scalable fintech solutions. With an established market presence and ambitious expansion plans, Arcesium offers a unique opportunity to be part of a fast-growing company at the forefront of the financial technology industry. We foster a culture of intellectual curiosity, ownership, and collaboration, and empower our people to make an impact from day one. Team Summary As part of our Human Capital (HC) team, the Manager Talent Development will play a key role in executing Arcesium s talent strategy. This role will focus on identifying skill gaps, designing learning programs, and delivering high-impact talent development initiatives that align with business goals. This position requires strong collaboration with senior stakeholders across the organization and demands a blend of strategic thinking, program execution, and data-driven decision-making. The ideal candidate should be experienced in designing scalable development programs, tracking learning effectiveness, and driving a culture of continuous learning. What You ll Do Partner with the Human Capital team to shape and deploy talent development strategies aligned with organizational goals. Engage with senior stakeholders and business leaders to identify learning needs and close critical skill gaps through contextualized solutions. Manage end-to-end program and project execution for key talent development initiatives. Define success metrics, track key learning KPIs, and use data insights to demonstrate effectiveness and inform strategic decisions. Stay updated with the latest learning and development trends, tools, and best practices to ensure Arcesium remains at the cutting edge of talent strategy. Introduce innovative approaches and best-in-class learning experiences to improve capability development across all levels. Contribute to building a culture of continuous learning, embedding development into day-to-day work. Support cross-functional and special projects that improve talent development efficiency and impact. What You ll Need 5 7 years of experience in Talent Development, Learning & Development, or related fields. Proven experience in learning program management, including design, delivery, and measurement. Strong ability to translate business goals into learning outcomes. High degree of execution ownership, results orientation, and stakeholder management. Experience working with learning frameworks, tools, and platforms. Analytical mindset with comfort working with data and metrics to drive decisions. Effective coaching and advisory skills to support leadership and team growth. Passion for continuous learning, innovation, and professional development. Be part of a high-impact Human Capital team at a globally recognized fintech leader. Opportunity to shape and grow learning culture in a company committed to people development. Work in a collaborative and intellectually stimulating environment. Access to challenging projects and a steep learning curve. Equal Opportunity Statement Arcesium and its affiliates are committed to equal employment opportunity. We value diversity and are proud of our inclusive culture. We welcome individuals of all backgrounds, identities, and experiences to apply.

Role: Associate Director, S1 Risk & Compliance Grade Level (Internal): 12 Business Division: S&P Global Sustainable1 About the Team: The Sustainable1 Business Risk & Compliance team partners closely with Sustainable1 s global business units and legal teams to identify, monitor, and manage business risks, potential conflicts of interest, and regulatory obligations. The team plays a vital role in ensuring Sustainable1 operates with integrity, complies with relevant policies, and proactively addresses emerging risks. Responsibilities & Impact: As an Associate Director within the Business Risk & Compliance team, you will help shape and enhance Sustainable1 s Compliance program by driving critical initiatives and processes across the business. Your responsibilities will include: Key Responsibilities: Develop and maintain relevant Compliance policies and guidelines to align with regulatory expectations and industry best practices. Oversee and manage day-to-day compliance activities, ensuring adherence to internal policies and preparedness for upcoming regulations. Deliver targeted education and training to Sustainable1 employees on policies, procedures, and regulatory developments. Identify and assess potential risks to Sustainable1 s business and work with stakeholders to determine and implement mitigating actions. Monitor, track, and report on policy violations and provide regular compliance reporting to senior leadership, including the Global Head of Business Risk & Compliance. Lead and participate in compliance investigations, maintaining confidentiality and diligence throughout the process. Support Risk & Compliance Operations tasks and projects as needed. Collaborate with global counterparts to ensure consistency and best practice sharing across Sustainable1 s risk and compliance functions. Partner with Legal, Government Affairs, and Public Policy teams to support regulatory engagements and policy discussions. Continuously evaluate and improve Compliance processes and workflows to enhance efficiency and effectiveness. Additional Responsibilities: Stay up to date on regulatory developments, particularly those related to ESG and sustainability. Actively participate in relevant Risk & Compliance Committees. Collaborate with Divisional and Enterprise Compliance teams to support broader compliance initiatives as required. The Impact: This role plays a pivotal part in embedding a strong compliance culture within Sustainable1, supporting the business in managing risks effectively while meeting its regulatory obligations. Through education, monitoring, and active risk management, you will help strengthen Sustainable1 s governance framework and contribute to the division s long-term success. This position reports directly to the Global Head of Business Risk & Compliance, Sustainable1. What We re Looking For: Experience: Minimum 5+ years of Compliance experience, preferably within financial services, data & analytics, or a sustainability-related business. Education: Bachelor s degree required. ESG/Sustainability domain expertise would be a significant advantage. Key Competencies: Strong understanding of compliance processes, risk management, and regulatory frameworks. High ethical standards and unwavering integrity, with the ability to stand firm on critical compliance matters. Excellent interpersonal and collaboration skills, fostering partnerships across teams and regions. Analytical mindset with problem-solving abilities and a focus on operational efficiency. Clear and concise communication skills, with experience in delivering effective compliance training across organizational levels. Strong organizational skills, with the ability to manage multiple priorities under pressure. Global mindset ability to work effectively with diverse teams across multiple jurisdictions. Technical Skills: Proficiency in Microsoft Excel, Word, PowerPoint. Familiarity with Smartsheet is preferred. About Sustainable1: S&P Global Sustainable1 is S&P Global s centralized source for sustainability intelligence, delivering comprehensive sustainability data, products, and insights across global markets. Sustainable1 helps clients assess risks, uncover opportunities, and shape long-term sustainable growth strategies. With expertise spanning climate risk, energy transition, sustainable finance, and more, we provide the Essential Intelligence that empowers companies, governments, and institutions to act with confidence in a rapidly evolving sustainability landscape. Qualification : Bachelors degree required.

General Summary: The Software Test Engineer will play a critical role in testing Qualcomm Sensing Hub features for various Qualcomm products. The position includes test planning, test case development, execution, and hands-on testing in both lab and field settings. The role also involves developing automation frameworks, debugging embedded systems, and collaborating with global teams for issue resolution. Key Responsibilities: Test Development & Execution: Develop test cases and execute testing for Qualcomm Sensing Hub features. Conduct hands-on testing with mobile/handheld devices in labs and field environments. Automation Development: Create automation modules for sensor testing using C# and Python. Maintain and enhance test automation frameworks. Debugging & Issue Resolution: Analyze and isolate issues across software modules, test frameworks, or hardware. Collaborate with global teams to resolve issues and support debugging in embedded targets. Sensor Testing & Calibration: Verify and calibrate sensors in embedded hardware. Test and validate communication between devices embedding Qualcomm Sensing Hub. Collaboration & Innovation: Work closely with engineering teams to integrate new testing methodologies. Gain a detailed understanding of Qualcomm Sensing Hub software, hardware, and embedded architectures. Minimum Qualifications: Educational Requirements: Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field with 2+ years of experience. OR Master s degree with 1+ year of experience. OR PhD in a related field. Work Experience: 1+ year of work or academic experience with software/system testing and automation tools. 4-6 years of experience testing embedded systems and developing automated test cases/frameworks. Technical Skills: Proficiency in C, C++, Python, and Java. Experience with Android application programming. Knowledge of debugging embedded systems and isolating issues. Familiarity with Qualcomm test tools (Axiom, QXDM, QDSS, etc.) and DIAG implementation. Exposure to sensors (e.g., inertial, pressure, ambient light) and related test equipment. Other Skills: Strong analytical skills and attention to detail. Ability to prioritize tasks and multitask effectively. Excellent communication and collaboration skills in a global team environment. Basic understanding of radios, audio, camera features, and related test procedures. Preferred Qualifications: Master s degree in Computer Science or Electrical Engineering. Previous experience with Linux Embedded, Linux Android, and Windows mobile devices. Familiarity with oscilloscope usage for debugging hardware and validating signals. Experience in modem, WiFi, Bluetooth, and location technologies testing. Work Environment & Accessibility: Qualcomm is committed to fostering an inclusive workplace and providing reasonable accommodations for individuals with disabilities during the hiring process. Equal Opportunity Employer: Qualcomm prohibits discrimination and ensures equal opportunities for all candidates regardless of race, color, religion, gender, disability, or any other characteristic protected by law. Qualification : Masters degree in Computer Science or Electrical Engineering.