Company Description Winbold is a startup working on a AI driven investment platform. Job Description Must be able to join immediately We are looking for a quantitative researcher who will work on stock market data to research and build quant and machine learning models for stock trading. You will be working on: Data Science and analytics of the stock market data Build models to identify the correlations and causations Build decision models and risk models that will be used for stock trading Build models that convert math analysis to trade decisions. You must be at home dealing with advanced statistical analysis of large data, must know core quant concepts like Bayesian inference, 2 phase stochastic optimization and related techniques. I will look at all the resumes but if you think you are the right fit, and want to get ahead of the line email me directly at madhu at winbolddatasystems.com Qualifications Advanced degree in math or statistics is preferable Must feel comfortable with all mathematical analysis Must be able convert math analysis to trade decisions Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities Implement and maintain customer analytics models including CLTV prediction, propensity modelling, and churn prediction Support the development of customer segmentation models using clustering techniques and behavioural analysis Assist in building and maintaining survival models to analyze customer lifecycle events Work with large-scale datasets using BigQuery and Snowflake Develop and validate machine learning models using Python and cloud-based ML platforms, specifically BQ ML, ModelGarden and Amazon Bedrock Help transform model insights into actionable business recommendations Collaborate with analytics and activation teams to implement model outputs Present analyses to stakeholders in clear, actionable formats Qualifications Bachelor's or master’s degree in Statistics, Mathematics, Computer Science, or related quantitative field 2-4 years’ experience in applied data science, preferably in marketing/retail Experience in developing and implementing machine learning models Strong understanding of statistical concepts and experimental design Ability to communicate technical concepts to non-technical audiences Familiarity with agile development methodologies Technical Skills Advanced proficiency in: SQL and data warehouses (BigQuery, Snowflake) Python for statistical modeling Machine learning frameworks (scikit-learn, TensorFlow) Statistical analysis and hypothesis testing Data visualization tools (Matplotlib, Seaborn) Version control systems (Git) Understanding of Google Cloud Function and Cloud Run Experience With Customer lifetime value modeling RFM analysis and customer segmentation Survival analysis and hazard modeling A/B testing and causal inference Feature engineering and selection Model validation and monitoring Cloud computing platforms (GCP/AWS/Azure) Key Projects & Deliverables Support development and maintenance of CLTV models Contribute to customer segmentation models incorporating behavioral and transactional data Implement survival models to predict customer churn Support the development of attribution models for marketing effectiveness Help develop recommendation engines for personalized customer experiences Assist in creating automated reporting and monitoring systems Soft Skills Strong analytical and problem-solving abilities Good communication and presentation skills Business acumen Collaborative team player Strong organizational skills Ability to translate business problems into analytical solutions Growth Opportunities Work on innovative data science projects for major brands Develop expertise in cutting-edge ML technologies Learn from experienced data science leaders Contribute to impactful analytical solutions Opportunity for career advancement We offer competitive compensation, comprehensive benefits, and the opportunity to work with leading brands while solving complex analytical challenges. Join our team to grow your career while making a significant impact through data-driven decision making. Show more Show less

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. Job Location: Hyderabad Staff Engineer (AISW) Job Location: Hyderabad 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 : 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. 3072736 Show more Show less

We are seeking an experienced Devops/ AIOps Architect to design, architect, and implement an AI-driven operations solution that integrates various cloud-native services across AWS, Azure, and cloud-agnostic environments. The AIOps platform will be used for end-to-end machine learning lifecycle management, automated incident detection, and root cause analysis (RCA). The architect will lead efforts in developing a scalable solution utilizing data lakes, event streaming pipelines, ChatOps integration, and model deployment services. This platform will enable real-time intelligent operations in hybrid cloud and multi-cloud setups. Responsibilities Assist in the implementation and maintenance of cloud infrastructure and services Contribute to the development and deployment of automation tools for cloud operations Participate in monitoring and optimizing cloud resources using AIOps and MLOps techniques Collaborate with cross-functional teams to troubleshoot and resolve cloud infrastructure issues Support the design and implementation of scalable and reliable cloud architectures Conduct research and evaluation of new cloud technologies and tools Work on continuous improvement initiatives to enhance cloud operations efficiency and performance Document cloud infrastructure configurations, processes, and procedures Adhere to security best practices and compliance requirements in cloud operations Requirements Bachelor’s Degree in Computer Science, Engineering, or related field 12+ years of experience in DevOps roles, AIOps, OR Cloud Architecture Hands-on experience with AWS services such as SageMaker, S3, Glue, Kinesis, ECS, EKS Strong experience with Azure services such as Azure Machine Learning, Blob Storage, Azure Event Hubs, Azure AKS Strong experience with Infrastructure as Code (IAC)/ Terraform/ Cloud formation Proficiency in container orchestration (e.g., Kubernetes) and experience with multi-cloud environments Experience with machine learning model training, deployment, and data management across cloud-native and cloud-agnostic environments Expertise in implementing ChatOps solutions using platforms like Microsoft Teams, Slack, and integrating them with AIOps automation Familiarity with data lake architectures, data pipelines, and inference pipelines using event-driven architectures Strong programming skills in Python for rule management, automation, and integration with cloud services Nice to have Any certifications in the AI/ ML/ Gen AI space Show more Show less

This job is with Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description IN Data Engineering & Analytics(IDEA) Team is looking to hire a rock star Data Engineer to build data pipelines and enable ML models for Amazon India businesses. IN Data Engineering & Analytics (IDEA) team is the central Data engineering and Analytics team for all A.in businesses. The team's charter includes 1) Providing Unified Data and Analytics Infrastructure (UDAI) for all A.in teams which includes central Petabyte-scale Redshift data warehouse, analytics infrastructure and frameworks for visualizing and automating generation of reports & insights and self-service data applications for ingesting, storing, discovering, processing & querying of the data 2) Providing business specific data solutions for various business streams like Payments, Finance, Consumer & Delivery Experience. The Data Engineer will play a key role in performing data extraction, data transformation, building and managing data pipelines to ensure data availability for ML & LLM models of IN businesses. The role sits in the heart of technology & business worlds and provides opportunity for growth, high business impact and working with seasoned business leaders. An ideal candidate will be someone with sound technical background in working with SQL, Scripting (Python, typescript, javascript), databases, ML/LLM models, big data technologies such as Apache Spark (Pyspark, Spark SQL). An ideal candidate will be someone who is a self-starter that can start with a requirement & work backwards to conceive and devise best possible solution, a good communicator while driving customer interactions, a passionate learner of new technology when the need arises, a strong owner of every deliverable in the team, obsessed with customer delight, business impact and 'gets work done' in business time. Key job responsibilities Build end to end data extraction, data transformation and data pipelines to ensure data availability for ML & LLM models that are critical to IN businesses. Enable ML/LLM tools by setting up all the required underlying data infrastructure, data pipelines and permissions to generate training and inference data for the ML models. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Scripting and Amazon/AWS big data technologies Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. Drive operational excellence strongly and build automation and mechanisms to reduce operations Enjoy working closely with your peers in a group of very smart and talented engineers. A day in the life India Data Engineering and Analytics (IDEA) team is central data engineering team for Amazon India. Our vision is to simplify and accelerate data driven decision making for Amazon India by providing cost effective, easy & timely access to high quality data. We achieve this by providing UDAI (Unified Data & Analytics Infrastructure for Amazon India) which serves as a central data platform and provides data engineering infrastructure, ready to use datasets and self-service reporting capabilities. Our core responsibilities towards India marketplace include a) providing systems(infrastructure) & workflows that allow ingestion, storage, processing and querying of data b) building ready-to-use datasets for easy and faster access to the data c) automating standard business analysis / reporting/ dash-boarding d) empowering business with self-service tools to manage data and generate insights. Basic Qualifications 2+ years of data engineering experience Experience with SQL Experience with one or more scripting language (e.g., Python, KornShell) Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis 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. Show more Show less

Responsibilities: Build multi-agent systems capable of reasoning, tool use, and autonomous action Implement Model Context Protocol (MCP) strategies to manage complex, multi-source context Integrate third-party APIs (e.g., Crunchbase, PitchBook, CB Insights), scraping APIs, and data aggregators Develop browser-based agents enhanced with computer vision for dynamic research, scraping, and web interaction Optimize inference pipelines, task planning, and system performance Collaborate on architecture, prototyping, and iterative development Experiment with prompt chaining, tool calling, embeddings, and vector search Requirements 5+ years of experience in software engineering or AI/ML development Strong Python skills and experience with LangChain, LlamaIndex, or agentic frameworks Proven experience with multi-agent systems, tool calling, or task planning agents Familiarity with Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and multi-modal context handling Experience with browser automation frameworks (e.g., Playwright, Puppeteer, Selenium) Cloud deployment and systems engineering experience (GCP, AWS, etc.) Self-starter attitude with strong product sense and iteration speed Bonus Points Experience with AutoGen, CrewAI, OpenAgents, or ReAct-style frameworks Background in building AI systems that blend structured and unstructured data Experience working in a fast-paced startup environment Previous startup or technical founding team experience Show more Show less

Responsibilities Research, design, develop, and test Python code. Collaborate with the Product and Data Science teams to define core AI/ML platform features. Understand business requirements, functional specifications, and research pre-trained models that work on real-world applications. Develop well-developed analytical and investigative skills. Maintain a strong desire to explore new technologies and knowledge at the architecture level. Requirements Design, develop, and deploy AI/ML models with a focus on Large Language Models (LLMs). Utilize NLP techniques, LangChain, LangFlow, and LLMs to develop conversational chatbots and language models. Have good knowledge of deploying LLM models in cloud environments (e.g , AWS, Azure, GCP) and on-premises infrastructure. Demonstrate proven ability to optimize LLM models for inference speed, memory efficiency, and resource utilization. Desired Skills Expertise in training Large Language Models (LLMs) and implementing workflows based on Pretraining, Fine-tuning LLMs & Retrieval-Augmented Generation (RAG). Fine-tune and optimize pre-trained LLMs for specific use cases and domain-specific tasks. Develop APIs, pipelines, and frameworks for seamless integration of LLMs into applications. Conduct performance evaluations of models and refine them for accuracy, latency, and scalability. Preprocess, clean, and analyze large datasets to train and fine-tune models. Education Bachelor's or Master's degree in Computer Science or related field. This is an exciting opportunity for an experienced AI/ML developer to join our team at Bigstep Technologies and contribute to the development of innovative AI solutions (ref:hirist.tech) Show more Show less

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role And Responsibilities Set up user journey dashboards across customer touchpoints (web and mobile app) in Adobe analytics, GA4 and Amplitude and identify pain points, familiarity with auditing tags using Omibug, GA debugger and other relevant tools. Understanding and familiarity with cross-device analyses using combined reporting suites, virtual report suite and familiarity with people metric and data warehouse. Building complex segments in analytics tools by going through online user journeys, self-serving tag audit to build segments. Analysis of customer journey and recommend personalization tests on digital properties by using Adobe analytics, GA4, Amplitude or any equivalent tool, walk through of analysis outcome and come up with ideas to optimize digital user experience. Website and mobile app Optimization consulting for client accounts across industries (customer journey analyses and personalization). Familiarity with website measurement strategy, identifying key KPIs and define goals, integrating online and offline data and segmentation strategies. Connect with clients for business requirements, walk through analysis outcome and come up with ideas for optimization of the digital properties. Build analytical reports and dashboards using visualization tools like LookerStudio or PowerBI. Technical And Functional Skills Bachelor’s Degree with overall experience of 6-10 years in digital analytics and optimization (Adobe Analytics, GA4, Appsflyer and Amplitude). Specialism – Adobe Analytics or GA4 and App analytics tools like Amplitude, Appsflyer, Visualization tools Expert- LookerStudio or PowerBI Certification in Adobe Analytics Business practitioner preferred. Ability to drive business inference from quantitative and qualitative datasets. Ability to collaborate with stakeholders across the globe. Strong communication, creative and innovation skills to help develop offerings to meet market needs. Show more Show less

AbhiDoc AbhiDoc is a next-generation digital healthcare platform on a mission to revolutionize patient–doctor interactions through AI-driven diagnostics, intuitive virtual assistants, and data analytics. We make healthcare seamless by securely centralizing medical records, offering teleconsultations, and delivering proactive health alerts. Join us as a founding member of our engineering team and help build the future of digital health. Role Overview As a AI Software Engineer , you will work under the guidance of senior engineers and data scientists to develop and maintain the core AI components of our platform. You will also support field operations at partner hospitals and clinics, ensuring our solutions are correctly installed, configured, and performing optimally in real-world environments. This is an ideal position for recent graduates who are passionate about AI/ML and eager to apply their academic knowledge to real-world healthcare problems. Key Responsibilities Model Development & Experimentation Assist in developing and training machine learning models (e.g., classification, regression) using Python libraries such as scikit-learn or TensorFlow. Participate in data preprocessing: cleaning, normalization, and feature engineering for healthcare datasets. Application Integration Help integrate trained models into microservices built with FastAPI or Flask. Write client-side code (Python or JavaScript) to call our AI APIs and process responses. Testing & Validation Write unit tests for data pipelines and model inference code. Validate model performance on test datasets and assist in error analysis. Field Operations Support Assist in deploying and configuring our software stack on-site at hospitals and clinics. Troubleshoot and resolve technical issues in collaboration with clinical IT staff. Collect performance metrics and user feedback to inform product improvements. Collaboration & Documentation Contribute to Agile ceremonies: daily stand-ups, sprint planning, and retrospectives. Document code, deployment procedures, and operational checklists using Markdown or UML. Learning & Growth Shadow senior engineers on code reviews, deployments (Docker, Kubernetes), and CI/CD pipeline configuration (GitHub Actions). Stay up to date on AI/ML best practices and emerging trends in digital healthcare. Required Qualifications Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field, completed within the last 12 months. Programming Skills: Proficient in Python; familiarity with at least one ML framework (scikit-learn, TensorFlow, or PyTorch). Basic understanding of RESTful APIs and experience with a web framework (Flask or FastAPI). Projects / Internships: Academic or personal projects demonstrating end-to-end ML workflows (data ingestion → model training → deployment). Internship experience in software development or data analytics is a plus. Field Readiness: Willingness to travel to partner hospitals and clinics for on-site support and deployment. Soft Skills: Strong problem-solving aptitude and willingness to learn. Clear written and verbal communication. Preferred Qualifications Familiarity with using AI technologies. Introductory knowledge of deploying web/Android applications. Experience with version control (Git) in a team setting. Basic exposure to cloud platforms (AWS, Azure, or GCP). Why Join AbhiDoc? Meaningful Impact: Build solutions that directly improve patient care and clinical workflows. Mentorship & Development: Pair with senior engineers, attend workshops, and access our learning stipend. Innovative Culture: Work in a diverse, supportive team that values creativity and growth. Show more Show less

Position Details Position: Solutions Backend Engineer (Python) Location: Noida, UP Openings: 1 Description Salary Range: Job Title: Solutions Backend Engineer (Python) The Opportunity Your Gateway to AI-Powered Business Excellence! Ready to transform your business strategy with the power of enterprise AI? At Vianai Systems, we're redefining how organizations operate by delivering accurate, reliable, and responsible AI solutions tailored for large enterprises. Founded by Dr. Vishal Sikka, former CEO of Infosys and CTO of SAP, Vianai blends deep domain expertise with cutting-edge generative AI technology to help you stay ahead in a competitive landscape. Our flagship platform, Hila Enterprise, enables seamless interaction with complex structured and unstructured data through natural language, empowering business leaders to make smarter, faster decisions. From finance and supply chain to sales and operations, Hila ensures data-driven insights with built-in anti-hallucination safeguards and powerful LLMOps tools. Whether you're enhancing strategic planning, optimizing workflows, or exploring new opportunities, Vianais AI-first approach helps you gain actionable intelligence in real-time. With partnerships including TCS, Cognizant, and KPMG, were trusted by global enterprises to drive meaningful transformationresponsibly and at scale. Discover how AI can elevate your enterprise. Visit www.vian.ai to learn more. Role Overview We are seeking a Backend Engineer with proven hands-on experience in building, deploying, and scaling production-grade backend systems that interface with advanced NLP, RAG and Generative AI (GenAI) models. The ideal candidate is highly proficient in Python-based backend frameworks, has deep technical expertise in Azure cloud services, and has shipped systems that integrate LLMs or transformer-based pipelines. What Youll Do Architect, develop, and optimize production-grade backend services using FastAPI, Django, or equivalent frameworks. Build and maintain LLM-integrated APIs, prompt-serving backends, and RAG-based GenAI pipelines with low latency and high throughput. Design scalable, event-driven microservices. Implement robust data processing and transformation pipelines for large-scale, unstructured document workflows (e.g., healthcare reports, user interactions). Deploy and manage containerized services using Docker & Kubernetes, and build automated CI/CD pipelines for frequent releases. Monitor and troubleshoot production systems, ensuring high availability, observability, and fault tolerance. Write clean, modular code with comprehensive test coverage and follow best practices in software engineering and system design. Who Are You Strong command of Python, with hands-on experience developing microservices using FastAPI, Django, or similar. Solid experience building and deploying backends for NLP/GenAI applications that run in production. Deep working knowledge of microservices architecture with Docker & Kubernetes. Proficient in RESTful API design, asynchronous workflows, and distributed data processing. Strong experience with Docker, Git and PostgreSQL. Hands-on experience integrating transformer-based models, LLM inference APIs, or embedding-driven retrieval systems. Familiarity with high-scale system design, caching strategies, and backend optimization for model inference. More About Instant Systems Inc. Were a Silicon Valley-based company with offices in Noida. We find bright startups, invest in these companies, help them establish competent product engineering teams, and apply tools and methods for effective technology and program management. You are being interviewed as a candidate to join our team and help many of our ventures or specifically hired for one. Learn more at https://in.instantsys.com Joining Instant Systems Means Becoming Part Of a Dynamic Team Where Your Ideas Are Valued, And Your Contributions Make a Real Impact. Here's What You Can Expect From Life At Instant Systems You'll collaborate with talented individuals on innovative projects that push technological boundaries. We prioritize your career growth with mentorship, training, and access to cutting-edge tools. Enjoy flexibility with remote work options for better work-life balance. We embrace diversity, ensuring every voice is heard and respected in our inclusive workplace. Equal Employment Opportunity Statements The policy of Instant Systems is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression, or veteran status. Additionally, Instant Systems is committed to being an Equal Employment Opportunity (EEO) employer and offers opportunities to all job seekers, including individuals with disabilities. If you need reasonable accommodation to assist with your job search or application for employment, email us at careers@instantsys.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Show more Show less

Position Details: Solutions Backend Engineer (Python) Location: Noida, UP Openings: 1 Description Salary Range: Job Title: Solutions Backend Engineer (Python) The Opportunity Your Gateway to AI-Powered Business Excellence! Ready to transform your business strategy with the power of enterprise AI? At Vianai Systems, we're redefining how organizations operate by delivering accurate, reliable, and responsible AI solutions tailored for large enterprises. Founded by Dr. Vishal Sikka, former CEO of Infosys and CTO of SAP, Vianai blends deep domain expertise with cutting-edge generative AI technology to help you stay ahead in a competitive landscape. Our flagship platform, Hila Enterprise, enables seamless interaction with complex structured and unstructured data through natural language, empowering business leaders to make smarter, faster decisions. From finance and supply chain to sales and operations, Hila ensures data-driven insights with built-in anti-hallucination safeguards and powerful LLMOps tools. Whether you're enhancing strategic planning, optimizing workflows, or exploring new opportunities, Vianais AI-first approach helps you gain actionable intelligence in real-time. With partnerships including TCS, Cognizant, and KPMG, were trusted by global enterprises to drive meaningful transformationresponsibly and at scale. Discover how AI can elevate your enterprise. Visit www.vian.ai to learn more. Role Overview We are seeking a Backend Engineer with proven hands-on experience in building, deploying, and scaling production-grade backend systems that interface with advanced NLP and Generative AI (GenAI) models. The ideal candidate is highly proficient in Python-based backend frameworks, has deep technical expertise in AWS cloud services, and has shipped systems that integrate LLMs or transformer-based pipelines. What Youll Do Architect, develop, and optimize production-grade backend services using FastAPI, Django, or equivalent frameworks. Build and maintain LLM-integrated APIs, prompt-serving backends, and RAG-based GenAI pipelines with low latency and high throughput. Design scalable, event-driven microservices leveraging AWS S3, Glue, Batch, EFS, Lambda, and ECR. Implement robust data processing and transformation pipelines for large-scale, unstructured document workflows (e.g., healthcare reports, user interactions). Deploy and manage containerized services using Docker, and build automated CI/CD pipelines for frequent releases. Monitor and troubleshoot production systems, ensuring high availability, observability, and fault tolerance. Write clean, modular code with comprehensive test coverage and follow best practices in software engineering and system design. Who You Are: Strong command of Python, with hands-on experience developing microservices using FastAPI, Django, or similar. Solid experience building and deploying backends for NLP/GenAI applications that run in production. Deep working knowledge of AWS services, including S3, Batch, Glue, Lambda, EFS, and ECR. Proficient in RESTful API design, asynchronous workflows, and distributed data processing. Strong experience with Docker, Git, MySQL, and MongoDB. Hands-on experience integrating transformer-based models, LLM inference APIs, or embedding-driven retrieval systems. Familiarity with high-scale system design, caching strategies, and backend optimization for model inference. More About Instant Systems Inc.: Were a Silicon Valley-based company with offices in Noida. We find bright startups, invest in these companies, help them establish competent product engineering teams, and apply tools and methods for effective technology and program management. You are being interviewed as a candidate to join our team and help many of our ventures or specifically hired for one. Learn more at https://in.instantsys.com. Joining Instant Systems Means Becoming Part Of a Dynamic Team Where Your Ideas Are Valued, And Your Contributions Make a Real Impact. Here's What You Can Expect From Life At Instant Systems You'll collaborate with talented individuals on innovative projects that push technological boundaries. We prioritize your career growth with mentorship, training, and access to cutting-edge tools. Enjoy flexibility with remote work options for better work-life balance. We embrace diversity, ensuring every voice is heard and respected in our inclusive workplace. Equal Employment Opportunity Statements: The policy of Instant Systems is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression, or veteran status. Additionally, Instant Systems is committed to being an Equal Employment Opportunity (EEO) employer and offers opportunities to all job seekers, including individuals with disabilities. If you need reasonable accommodation to assist with your job search or application for employment, email us at careers@instantsys.com. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Show more Show less

About Amgen Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human data to push beyond what’s known today. About The Role Let’s do this. Let’s change the world. At Amgen, we believe that innovation can and should be happening across the entire company. Part of the Artificial Intelligence & Data function of the Amgen Technology and Medical Organizations (ATMOS), the AI & Data Innovation Lab (the Lab) is a center for exploration and innovation, focused on integrating and accelerating new technologies and methods that deliver measurable value and competitive advantage. We’ve built algorithms that predict bone fractures in patients who haven’t even been diagnosed with osteoporosis yet. We’ve built software to help us select clinical trial sites so we can get medicines to patients faster. We’ve built AI capabilities to standardize and accelerate the authoring of regulatory documents so we can shorten the drug approval cycle. And that’s just a part of the beginning. Join us! We are seeking a Senior Software Architect to join the Lab’s software engineering practice. This role is integral to developing top-tier talent, setting engineering best practices, and evangelizing full-stack development capabilities across the organization. The Senior Software Architect will architect and engineer the technical and data pipelines for digital products that feature AI capabilities, including how data and models will be scaled, monitored, maintained and effectively managed. Roles & Responsibilities: Design end-to-end architecture, with modular components including model orchestration, data pipelines, inference services, and APIs. Ensure performance, robustness and scalability. Evaluate and select frameworks and tools fit for purpose, while enabling standardization and repeatability. Collaborate with software and AI engineers to select data models, modeling approaches, training/tuning, validation and testing strategies. Define versioning strategies and continuous delivery processes for models and APIs. Define and develop model monitoring and maintenance processes, plan scaling strategies. Establish pipelines for model deployment, monitoring, experiment tracking, and retraining. Perform architectural reviews, ensure adherence, identify deviations and design resolutions. Help develop standards, processes, and best practices in AI and full-stack engineering. Provide technical mentorship to software and AI engineers. Effectively communicate architectural decisions to stakeholders across engineering, product management, and executive leadership. Functional Skills: Deep understanding of software engineering best practices. Proficiency in overall software product development lifecycle, including version control, CI/CD, TDD, and agile methodologies. Proven ability to design and implement end-to-end solutions with modular, reusable components and APIs for scale, low latency, and high availability. Strong grasp of how data flows into, through and out of AI systems, from ingestion and preprocessing to inference and feedback loops. Expertise in model monitoring and maintenance processes, as well scaling and deployment strategies. Ability to align technical designs with product goals and user experience. Advanced proficiency managing and deploying infrastructure with the AWS cloud platform, including cost planning, tracking and optimization. Proficiency with backend languages and frameworks (Python, FastAPI, Flask preferred). Proficiency in web technologies (JavaScript, Node.js, React, Angular). Experience with databases (Postgres/DynamoDB). Experience with microservices architecture and containerization (Docker, Kubernetes). Good-to-Have Skills: Familiarity with enterprise software systems in life sciences or healthcare domains. Familiarity with big data platforms and experience in data pipeline development (Databricks, Spark). Knowledge of data security, privacy regulations, and scalable software solutions. Soft Skills: Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Ability to mentor and develop team members, promoting their growth and success. Basic Qualifications: Bachelor’s degree in Computer Science, AI, Software Engineering, or related field. 8+ years of experience in full-stack software engineering, with at least 3 years in an architecture role. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. Show more Show less

Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI , and autonomous intelligent systems . We build intelligent, cutting-edge solutions designed to scale and evolve with the future of artificial intelligence. Role Overview: We are looking for a skilled and versatile AI Infrastructure Engineer (DevOps/MLOps) to build and manage the cloud infrastructure, deployment pipelines, and machine learning operations behind our AI-powered products. You will work at the intersection of software engineering, ML, and cloud architecture to ensure that our models and systems are scalable, reliable, and production-ready. Key Responsibilities: Design and manage CI/CD pipelines for both software applications and machine learning workflows. Deploy and monitor ML models in production using tools like MLflow, SageMaker, Vertex AI, or similar. Automate the provisioning and configuration of infrastructure using IaC tools (Terraform, Pulumi, etc.). Build robust monitoring, logging, and alerting systems for AI applications. Manage containerized services with Docker and orchestration platforms like Kubernetes . Collaborate with data scientists and ML engineers to streamline model experimentation, versioning, and deployment. Optimize compute resources and storage costs across cloud environments (AWS, GCP, or Azure). Ensure system reliability, scalability, and security across all environments. Requirements: 5+ years of experience in DevOps, MLOps , or infrastructure engineering roles. Hands-on experience with cloud platforms ( AWS, GCP, or Azure ) and services related to ML workloads. Strong knowledge of CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI). Proficiency in Docker , Kubernetes , and infrastructure-as-code frameworks. Experience with ML pipelines , model versioning, and ML monitoring tools. Scripting skills in Python , Bash , or similar for automation tasks. Familiarity with monitoring/logging tools (Prometheus, Grafana, ELK, CloudWatch, etc.). Understanding of ML lifecycle management and reproducibility. Preferred Qualifications: Experience with Kubeflow , MLflow , DVC , or Triton Inference Server . Exposure to data versioning , feature stores , and model registries . Certification in AWS/GCP DevOps or Machine Learning Engineering is a plus. Background in software engineering, data engineering, or ML research is a bonus. What We Offer: Work on cutting-edge AI platforms and infrastructure Cross-functional collaboration with top ML, research, and product teams Competitive compensation package – no constraints for the right candidate Show more Show less

Company Description Winbold is a startup working on a AI driven investment platform. Job Description Must be able to join immediately We are looking for a quantitative researcher who will work on stock market data to research and build quant and machine learning models for stock trading. You will be working on: Data Science and analytics of the stock market data Build models to identify the correlations and causations Build decision models and risk models that will be used for stock trading Build models that convertmath analysis to trade decisions. You must be at home dealing with advanced statistical analysis of large data, must know core quant concepts like Bayesian inference, 2 phase stochastic optimization and related techniques. I will look at all the resumes but if you think you are the right fit, and want to get ahead of the line email me directly at madhu at winbolddatasystems.com Qualifications Advanced degree in math or statistics is preferable Must feel comfortable with all mathematical analysis Must be able convert math analysis to trade decisions Additional Information All your information will be kept confidential according to EEO guidelines. Show more Show less

droppGroup is hiring an exceptionally capable AI Engineer with deep, practical expertise in generative AI and natural language processing (NLP). This role is not for generalists, we are looking for specialists who can operate across the full AI lifecycle: from research implementation to real-time production deployment. You must bring a disciplined engineering mindset, state-of-the-art awareness, and hands-on experience with training, fine-tuning, and deploying large language models at scale. Responsibilities Design and fine-tune large transformer models for complex generative tasks including chat, summarization, and semantic understanding. Build LLM-based systems using advanced prompt engineering, retrieval-augmented generation (RAG), and optimized inference. Own the development and optimization of model training pipelines using PyTorch, Hugging Face, DeepSpeed, and related frameworks. Deploy and maintain LLMs in high-performance production environments, optimizing for latency, cost, and stability. Conduct rigorous evaluation of models using benchmarks, human feedback, and automated testing. Manage end-to-end AI workflows with robust versioning, reproducibility, and observability using MLOps tooling. Implement scalable vector databases and semantic search infrastructure for embedding-based retrieval systems. Translate latest AI research into efficient, production-grade code—no research-only profiles. Size, allocate, and optimize compute resources (CPU/GPU/TPU) for large-scale training and inference. Establish strict testing, rollback, and fail-safe mechanisms for model deployment in live systems. Qualifications Minimum 3 years of focused experience building deep learning systems, with a proven track record in NLP and/or generative AI. Hands-on experience training and deploying transformer-based models (BERT, T5, GPT, LLaMA, etc.)—from scratch or via fine-tuning. Expert-level Python, with production-grade PyTorch skills (Tensor manipulation, gradient debugging, memory profiling, etc.). Demonstrated ability to work with multi-billion parameter models, and deploy them under real-world latency and throughput constraints. Deep understanding of language modeling, embeddings, attention mechanisms, tokenization strategies, and architectural tradeoffs. Ability to read, implement, and extend research papers into robust, testable, and efficient systems. Experience with AI infrastructure at scale, including distributed training, mixed precision, checkpointing, and A100-level GPU scheduling. Familiarity with vector databases (FAISS, Weaviate, Milvus) and hybrid search systems. Proficiency in MLOps tools (MLflow, Airflow, WandB, or similar) for model lifecycle management. Strong commitment to software engineering principles: code quality, version control, CI/CD, and modular design. Capacity to own AI systems end-to-end—from dataset preprocessing to online deployment and continuous improvement. droppGroup is an equal opportunity employer. We offer a competitive compensation structure and a fast-paced growth roadmap to all our teams. Show more Show less

Lead AI Compiler Engineer Hyderabad, India Engineering 64069 Job Description WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Lead AI Compiler Engineer ROLE OVERVIEW: We are looking for an AI Compiler Engineer to join this high impact team working in the growing field of on-device AI inference acceleration as an individual contributor or as a technical lead in the AI group (AIG). As an AI Compiler Engineer, you will design and optimize AI compiler stack and tools that enable efficient execution of state-of-the-art open source as well as proprietary AI models such as LLMs, transformer models, etc., to AMD NPUs for on-device AI inference use-cases.. You will work on transforming high-level AI models into efficient, low-level code that can run on NPU. Your work will directly impact the performance, efficiency, and scalability of our AI solutions. SCOPE OF WORK: Operator fusion: Identify and implement performance optimization opportunities by reducing memory traffic through operator fusion at different memory hierarchy levels e.g., attention block. Problem partitioning and dataflow orchestration: Design of algorithms to optimally map given AI operation to the NPU comprising of an interconnected array of AI engines. Design and implementation of algorithms to orchestrate dataflow through multi-level memory hierarchy. Kernel Design and Development: Design and implement highly optimized C++/intrinsic based kernels for AI related operators. Develop vectorized code that leverages SIMD (Single Instruction, Multiple Data) and VLIW (Very Long Instruction Word) for optimal performance. Perform performance, program memory and accuracy tradeoffs. Testing and Validation: Develop CPU models for the ML operators in C++/ Python to validate accuracy. Write unit tests and integration tests to ensure correctness and reliability. Performance Profiling and Tuning: Profile and analyze the performance of model layers Identify performance/accuracy bottlenecks and alleviate those Documentation and Collaboration: Effective technical communication of day-to-day work and document design specs. Follow good coding practices, using version control system. Collaborate with cross-functional teams spanning over AI research, core architecture and software engineering. REQUIRED SKILLS: Excellent C/C++ and Python coding skills Good understanding of SIMD, VLIW processor architecture. Experience with vectorized programming (SIMD). Thorough understanding of fixed and floating point arithmetic. Good understanding of various operators in state-of-the-art AI models. Knowledge of low-level hardware details (cache hierarchy, DMA programming). Excellent problem-solving skills especially on debug and a passion for on-device AI. Prefer candidates with past experience on AI compiler design. ACADEMIC CREDENTIALS: BS/Masters/PhD degree in Computer Science, Electrical Engineering, or a related field. #LI-PK1 AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

India - Hyderabad JOB ID: R-216704 LOCATION: India - Hyderabad WORK LOCATION TYPE: On Site DATE POSTED: May. 30, 2025 CATEGORY: Information Systems ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human data to push beyond what’s known today. ABOUT THE ROLE Let’s do this. Let’s change the world. At Amgen, we believe that innovation can and should be happening across the entire company. Part of the Artificial Intelligence & Data function of the Amgen Technology and Medical Organizations (ATMOS), the AI & Data Innovation Lab (the Lab) is a center for exploration and innovation, focused on integrating and accelerating new technologies and methods that deliver measurable value and competitive advantage. We’ve built algorithms that predict bone fractures in patients who haven’t even been diagnosed with osteoporosis yet. We’ve built software to help us select clinical trial sites so we can get medicines to patients faster. We’ve built AI capabilities to standardize and accelerate the authoring of regulatory documents so we can shorten the drug approval cycle. And that’s just a part of the beginning. Join us! We are seeking a Senior Software Architect to join the Lab’s software engineering practice. This role is integral to developing top-tier talent, setting engineering best practices, and evangelizing full-stack development capabilities across the organization. The Senior Software Architect will architect and engineer the technical and data pipelines for digital products that feature AI capabilities, including how data and models will be scaled, monitored, maintained and effectively managed. Roles & Responsibilities: Design end-to-end architecture, with modular components including model orchestration, data pipelines, inference services, and APIs. Ensure performance, robustness and scalability. Evaluate and select frameworks and tools fit for purpose, while enabling standardization and repeatability. Collaborate with software and AI engineers to select data models, modeling approaches, training/tuning, validation and testing strategies. Define versioning strategies and continuous delivery processes for models and APIs. Define and develop model monitoring and maintenance processes, plan scaling strategies. Establish pipelines for model deployment, monitoring, experiment tracking, and retraining. Perform architectural reviews, ensure adherence, identify deviations and design resolutions. Help develop standards, processes, and best practices in AI and full-stack engineering. Provide technical mentorship to software and AI engineers. Effectively communicate architectural decisions to stakeholders across engineering, product management, and executive leadership. Functional Skills: Deep understanding of software engineering best practices. Proficiency in overall software product development lifecycle, including version control, CI/CD, TDD, and agile methodologies. Proven ability to design and implement end-to-end solutions with modular, reusable components and APIs for scale, low latency, and high availability. Strong grasp of how data flows into, through and out of AI systems, from ingestion and preprocessing to inference and feedback loops. Expertise in model monitoring and maintenance processes, as well scaling and deployment strategies. Ability to align technical designs with product goals and user experience. Advanced proficiency managing and deploying infrastructure with the AWS cloud platform, including cost planning, tracking and optimization. Proficiency with backend languages and frameworks (Python, FastAPI, Flask preferred). Proficiency in web technologies (JavaScript, Node.js, React, Angular). Experience with databases (Postgres/DynamoDB). Experience with microservices architecture and containerization (Docker, Kubernetes). Good-to-Have Skills: Familiarity with enterprise software systems in life sciences or healthcare domains. Familiarity with big data platforms and experience in data pipeline development (Databricks, Spark). Knowledge of data security, privacy regulations, and scalable software solutions. Soft Skills: Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Ability to foster a collaborative and innovative work environment. Strong problem-solving abilities and attention to detail. High degree of initiative and self-motivation. Ability to mentor and develop team members, promoting their growth and success. Basic Qualifications: Bachelor’s degree in Computer Science, AI, Software Engineering, or related field. 8+ years of experience in full-stack software engineering, with at least 3 years in an architecture role. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Visionify is working on bringing the power of Computer Vision and AI for everyday use-cases. We are looking to hire a strong, motivated and enthusiastic Sr. Computer Vision Engineer to execute our roadmap. As a Sr. Computer Vision Engineer, you will be working on the state-of-the art challenges in the field of Computer Vision & solving them with novel algorithms and optimizations. Majority of our work is focused on applied Computer Vision - so a good understanding of current state of the art of models (Classification, Object detection, Object Recognition, OCR, LayoutML, GAN etc networks). You will be working on Pytorch as primary language - so prior demonstrated knowledge of Pytorch is must for this position. Any experience with Azure, Azure ML Studio framework etc., would also be preferable. Candidates are expected to stay current with the latest features and contribute to the open-source Pytorch project with a focus on performance and accuracy improvements. You deeply understand the PyTorch framework and underlying implementations to solve customer challenges., and provide insights into how key issues affect the product. Many of our models get deployed to the edge - so experience in optimizing and pruning models, converting models to NVIDIA TensorRT etc would be preferable. You must possess excellent Python coding skills - as Python is used throughout our organization to build training and inference pipelines. Candidates should have excellent communication and presentation skills. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field. Responsibilities: Understanding business objectives and developing Computer Vision based solutions that help achieve it. The software could involve training framework, inference framework, working with different technologies for ML. You will build models and solutions with Pytorch. You will optimize the Pytorch models for different runtime environments including NVIDIA Jetson TensorRT. Guide the development team with their works, unblock their questions, help accelerate their deliverables.Developing ML/Computer Vision algorithms that could be used to solve a given problem. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Develop processes for different common operations of the team: data acquisition, model training, prototype development. Finding open-source datasets for prototype development. Develop pipelines for data processing, augmentation, training, inference and active retraining. Training models and tuning their hyperparameters Analyzing the errors of the model and designing strategies to overcome them Deploying models to production Requirements: Bachelors/Masters degree in Computer Science/Computer Engineering/IT or related fields. 5+ years of experience. Exceptional candidates with less experience are welcome to apply. Industry experience working in Image & Video Processing (OpenCV, GStreamer, Tensorflow, PyTorch, TensorRT, Model Training/Inference, Video Processing Pipelines, Different GStreamer Convertors etc). Sound knowledge of various deep learning classification models including ResNet, Inception, VGG etc and object detection models including MobileNetSSD, Yolo, FastRCNN, MaskRCNN etc. Good knowledge of Pytorch, Torchvision, writing training routines. Ability to update models, add/drop features, visualize how the model is performing etc. Experience in Colab and Jupyter Notebook Familiarity with CUDA/GPU Knowledge of CNN visualization techniques such as CAM, GradCAM etc. Strong understanding of Computer Vision and Real-time Video Processing techniques. Strong experience with Python and writing reusable code. Experience working with OpenCV and Scikit packages. Experience with the NVIDIA platform (NVIDIA Deepstream, TensorRT). Experience with Python web framework, e.g. Flask, Django or FastAPI Experience with different ML platforms: PyTorch, TensorFlow. Proficiency with AWS SageMaker Experience with databases (Elasticsearch, SQL, NoSQL, Hive, …) Experience in a cloud environment for software development and deployment (AWS preferred) Experience with utilising various GPU-based training infrastructures. Experience with Docker Knowledge of DevOps and MLOps best practices for production Machine Learning systems. Desired Traits: Thrive in a collaborative environment. Flexible with changing requirements. Come up with innovative solutions. Keen focus on work quality & developing robust code.

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. Python programming/Machine Learning concepts and Automation Testing ( Python framework, autoframework) Mandatory Job Overview 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 and engineers them to allow the running 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 mobile devices around the world & also most advanced Autonomous features for AUTO industry. In this position, you will be responsible for the development of test frameworks for Qualcomm Neural Network (QNN). You will work with neural network frameworks like TensorFlow, Pytorch and develop the validation framework to gauge functionality, performance, precision, and power of QNN. You will work with the latest and greatest DNNs emerging from the research community. You will also have to keep up with the fast pace development happening in the industry and academia to continuously enhance our benchmarking and validation infrastructure from software engineering as well as machine learning standpoint. Minimum Qualifications 1. Expertise in Developing test cases, automating the tests, test case execution and troubleshooting/analyzing problems 2. Experience with Programming Language such as C, C++, Python, etc. 3. Strong proficiency in Python Programming 4. Solid understanding of OOPS, Automation and OS concepts. 5. Hands-on with Jenkins for CI/CD 6. Familiarity with Docker 7. Knowledge of AI, ML and GenAI will be added advantage. 8. Knowledge of version control systems like Git 9. Strong Problem-Solving skills and ability to work in fast-paced environment. 10. Live and breathe quality software development with excellent analytical and debugging skills. 11. Excellent communication skills (verbal, presentation, written) 12. Ability to collaborate across a globally diverse team and multiple interests 13. Excellent communication skills (verbal, presentation, written), Strong problem-solving skills, Good time management skills,, excellent analytical and debugging skills, must be an effective team player, and should be self-driven. Preferred Qualifications 1. Strong exposure to software testing methodologies and reporting. 2. Experience with CI tools like Jenkins and Data visualization tools like power BI ,Tableau 3. Development experience in Python & C++ Work Experience 1 to 6 years of relevant work experience in software dev/test development Educational Requirements Master’s/Bachelor's 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.

Hyderabad, India Risk Management In-Office 10300 Job Description Job Purpose The selected candidate will join the IDA Quantitative Research team, where they may manage and train quantitative resources. They will also research, design, develop, and support a wide variety of quantitative models and methodologies for the valuation and risk measures calculation of fixed income securities. Responsibilities Independently manage, research, develop, maintain both valuation and risk models for fixed income securities, including their derivatives (e.g. swaps, caps, floors, forward rate agreements, options), with a focus on structured securities (CMO, ABS, CLO, etc.). Activate new fixed income securities in Java-based analytics systems. Lead quantitative efforts with the development team and the quality assurance team to ensure timely releases of Java-based products with enhanced capabilities and the highest quality. Provide training and management to other quantitative personnel as needed. Provide analytic support and consulting to both internal and external users on issues related to quantitative modeling and valuation of fixed income securities and their derivatives, with a focus on structured securities. Knowledge and Experience Advanced degree (Master's, PhD, or equivalent) in a quantitative field (e.g. mathematics, physics, engineering and finance). Advanced knowledge of mathematics, including stochastic processes, partial differential equations, probability theory, and numerical methods. Advanced training in statistical inference, time series analysis, machine learning and Monte Carlo simulation. At least 7 years of professional experience, with a proven record of managing and leading an analytics research team. Strong programming skills in Java, C/C++, Python and SQL. Highly motivated and eager to lead in the learning and growth of the team. Strong ability to communicate technical ideas and concepts to senior management and colleagues outside the domain on a regular basis

Location: IN - Hyderabad Telangana Goodyear Talent Acquisition Representative: Maria Monica Canding Sponsorship Available: No Relocation Assistance Available: No Job Responsibilities: You analyze business and technical needs, translating processes into practice using the current Information Technology toolsets. You implement new solutions through configuration and the creation of functional specifications, facilitating solution realization. You conduct full integration testing of new or changed business/technical processes, and develop business/technical cycle tests for use by stakeholders. You document all process changes and share relevant knowledge with stakeholders. You troubleshoot, investigate, and persist in finding solutions to problems with unknown causes, where precedents do not exist, by applying logic, inference, creativity, and initiative. You provide cross-functional support and maintenance for the responsible business/technical areas. You conduct cost/benefit analyses by evaluating alternative design approaches to determine the best-balanced solution. The best-balanced solution satisfies immediate stakeholder needs, meets system requirements, and facilitates subsequent change. You assume a leadership role in small initiatives, playing the key contributor, facilitator, or group lead. Qualifications: You hold a Bachelor's degree in MIS, Computer Science, Engineering, Technology, Business Administration, or, in lieu of a degree, have 9 years of IT experience. You have at least 4 years of experience in IT, with a minimum of 2 years of experience in SAP. You possess techno-functional knowledge of SAP IT applications in the relevant business area. You have the ability to understand business processes and needs, delivering prompt, efficient, and high-quality service to the business. You have strong analytical and problem-solving skills, with excellent written and verbal communication skills and a strong command of English. You have solid solution design capabilities across functions and applications. You are able to work flexible hours as required for special occasions. Goodyear is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, ethnicity, citizenship, or any other characteristic protected by law. Goodyear is one of the world’s largest tire companies. It employs about 74,000 people and manufactures its products in 57 facilities in 23 countries around the world. Its two Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate

Location: IN - Hyderabad Telangana Goodyear Talent Acquisition Representative: Ashutosh Panda Sponsorship Available: No Relocation Assistance Available: No Position Description: As a valued member of Global IT SAP , You will report to the leader responsible for the respective functional area. You will play a critical role in analyzing business and technical needs, translating processes into practice using current Information Technology toolsets. You will also implement innovative solutions through configuration, create functional specifications, and facilitate seamless solution realization. Additionally, You will be responsible for conducting rigorous testing and troubleshooting solutions to ensure efficiency and accuracy. Principal Responsibilities: You will analyze business and technical needs and translate processes into practice using the latest Information Technology tools. You will implement new solutions by configuring systems, creating functional specifications, and facilitating their realization. You will conduct full integration testing of new or modified business and technical processes, ensuring seamless performance. You will also develop comprehensive business/technical cycle tests for stakeholders and document all process changes for knowledge sharing. You will troubleshoot, investigate, and persist in resolving complex issues, even when precedents do not exist. By applying logic, inference, creativity, and initiative, You will develop robust solutions while providing cross-functional support and maintenance in responsible areas. You will conduct cost-benefit analyses by evaluating alternative design approaches, ensuring the best-balanced solution—one that meets immediate stakeholder needs, aligns with system requirements, and allows for future adaptability. You will assume a leadership role in small-scale initiatives by contributing as a key player, facilitator, or group lead. Required Experience and Education: You must hold a Bachelor’s Degree in MIS, Computer Science, Engineering, Technology, Business Administration , or a related field. You must have at least six years of experience in IT . You must have a minimum of four years of hands-on experience with SAP , including SAP SRM, SAP ERP, SAP S4 Central Procurement, and SAP Ariba Guided Buying . Experience with SAP Fieldglass is a plus. Personal Skills, Attributes, and Qualifications: You must have techno-functional knowledge in SAP IT applications within the relevant business area. You need a strong ability to understand business processes, address business needs, and deliver high-quality, efficient solutions. You must demonstrate strong analytical and problem-solving skills , coupled with excellent written and verbal communication skills in English. You should have solid solution design capabilities across various functions and applications. You must be willing and able to work flexible hours as required on special occasions. #Li-Hybrid Goodyear is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, ethnicity, citizenship, or any other characteristic protected by law. Goodyear is one of the world’s largest tire companies. It employs about 74,000 people and manufactures its products in 57 facilities in 23 countries around the world. Its two Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Description More Details Below: Join The Exciting Generative AI Team At Qualcomm Focused On Integrating Cutting Edge GenAI Models On Qualcomm Chipsets. The Team Uses Qualcomm Chips’ Extensive Heterogeneous Computing Capabilities To Allow Inference Of GenAI Models 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. Utilize This Power Efficient Hardware And Software Stack To Run Large Language Models (LLMs) And Large Vision Models (LVM) At Near GPU Speeds! Responsibilities: In This Role, You Will Spearhead The Development And Commercialization Of The Qualcomm AI Runtime (QAIRT) SDK On Qualcomm SoCs. As An AI Inferencing Expert, You'll Push The Limits Of Performance From Large Models. Your Mastery In Deploying Large C/C++ Software Stacks Using Best Practices Will Be Essential. You'll Stay On The Cutting Edge Of GenAI Advancements, Understanding LLMs/Transformers And The Nuances Of Edge-Based GenAI Deployment. Most Importantly, Your Passion For The Role Of Edge In AI's Evolution Will Be Your Driving Force. Requirements: Master’s/Bachelor’s Degree In Computer Science Or Equivalent. 3+ Years Of Relevant Work Experience In Software Development. Strong Understanding Of Generative AI Models – LLM, LVM And LLMs And Building Blocks Floating-Point, Fixed-Point Representations And Quantization Concepts. Experience With Optimizing Algorithms For AI Hardware Accelerators (Like CPU/GPU/NPU). Strong Development Skills In C/C++ Excellent Analytical And Debugging Skills. Good Communication Skills (Verbal, Presentation, Written). Ability To Collaborate Across A Globally Diverse Team And Multiple Interests. Preferred Qualifications Strong Understanding Of SIMD Processor Architecture And System Design. Proficiency In Object-Oriented Software Development. Familiarity With Linux And Windows Environment Strong Background In Kernel Development For SIMD Architectures. Familiarity With Frameworks Like Llama.Cpp, MLX, And MLC Is A Plus. Good Knowledge Of PyTorch, TFLite, And ONNX Runtime Is Preferred. Experience With Parallel Computing Systems And Assembly Is A Plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 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.

Job Summary: The Director of Machine Learning will lead a team of 20-40 engineers, including both senior and junior talent, to build and scale foundational models that define the next generation of AI applications in India. This role combines deep technical expertise with strategic leadership, requiring someone who can navigate the evolving landscape of AI research while delivering production-ready solutions at scale. Key Responsibilities: 1.Strategic Leadership and Vision Develop and execute comprehensive ML/AI strategies aligned with BharatGen's mission. Define the technical roadmap for foundational model development across text, speech, and vision modalities. Set clear goals for the engineering organization and ensure alignment with broader company objectives. Collaborate with the CTO and executive team to shape product strategy and business priorities. 2.Team Management and Development Lead and mentor a diverse team of 20-40 ML engineers, data scientists, and researchers across all experience levels. Build high-performing teams through strategic hiring, talent development, and performance management. Foster a culture of innovation, technical excellence, and continuous learning within the organization. Develop career progression pathways for both senior and junior engineers, ensuring knowledge transfer and skill development. 3.Technical Excellence and Innovation Oversee the entire machine learning lifecycle from research to production deployment for foundational models. Incorporate cutting-edge research and emerging trends in AI, particularly in foundation models and multimodal AI systems. Ensure engineering excellence through robust MLOps practices, scalable infrastructure, and production-quality code. Drive innovation in model architecture, training methodologies, and deployment strategies specific to diverse language and cultural contexts. Proficiency in ML frameworks (PyTorch, TensorFlow), distributed training, and MLOps best practices. Understanding of cloud computing platforms and large-scale infrastructure management 4.Research Integration and Industry Trends Stay current with the latest developments in foundation models. Lead initiatives to incorporate multimodal AI capabilities. Evaluate and integrate emerging AI trends, including the shift toward AI-first applications and agentic solutions. Support partnerships with academic institutions and research organizations to maintain technical leadership. 5.Scaling and Operations Build and scale ML platforms and infrastructure to support foundational model development and deployment. Implement best practices for model training, evaluation, and monitoring at enterprise scale. Oversee the development of robust APIs and microservices for seamless integration of ML models into production environments. Ensure efficient resource utilization and cost optimization for large-scale model training and inference. 6.Cross-Functional Collaboration Work closely with product teams to translate business requirements into technical specifications. Collaborate with engineering teams on infrastructure, architecture, and scalability decisions Partner with business stakeholders to ensure ML solutions deliver measurable value and align with market needs. Communicate complex technical concepts to non-technical stakeholders across the organization. Minimum Qualifications and Experience: 1.Education and Experience: Advanced degree (Master's or PhD) in Computer Science, Machine Learning, Artificial Intelligence, or related field. 8+ years of hands-on experience in machine learning and AI, with significant experience in foundational models or large-scale ML systems. 5+ years of leadership experience managing teams of engineers, with a proven track record of scaling technical organizations. Experience in both research and production environments, with understanding of how to bridge academic research and applications. 2.Technical Expertise: Deep expertise in foundational model architectures, training methodologies, and deployment strategies. Strong background in natural language processing, computer vision, and speech processing technologies. Experience with multimodal AI systems and cross-modal learning approaches. Proficiency in ML frameworks (PyTorch, TensorFlow), distributed training, and MLOps best practices. Understanding of cloud computing platforms and large-scale infrastructure management 3.Leadership and Soft Skills: Exceptional leadership and team management capabilities, with experience developing both senior and junior talent. Strong strategic thinking and problem-solving abilities, with a track record of delivering complex technical projects. Excellent communication skills, capable of presenting to both technical teams and executive leadership. Experience with hiring, performance management, and organizational development in fast-growing companies. 4. Preferred Qualifications: Background in developing AI solutions for multilingual or multicultural contexts. Track record of publications in top-tier ML conferences or journals. Experience in startup or high-growth technology environments. Location of work: TIH-IoT, IIT Bombay Campus, Powai, Mumbai 400076. Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Test Engineering General Summary: We are seeking a Engineer AI System-Level Test Engineer to lead end-to-end testing of Retrieval-Augmented Generation (RAG) AI systems for Hybrid, Edge-AI Inference solutions. This role will focus on designing, developing, and executing comprehensive test strategies for evaluating the reliability, accuracy, usability and scalability of large-scale AI models integrated with external knowledge retrieval systems. The ideal candidate needs to have deep expertise in AI testing methodologies, experience with large language models (LLMs), expertise in building test solutions for AI Inference stacks, RAG, search/retrieval architecture, and a strong background in automation frameworks, performance validation, and building E2E automation architecture. Experience testing large-scale generative AI applications, familiarity with LangChain, LlamaIndex, or other RAG-specific frameworks, and knowledge of adversarial testing techniques for AI robustness are preferred qualifications Key Responsibilities: Test Strategy & Planning Define end-to-end test strategies for RAG, retrieval, generation, response coherence, and knowledge correctness Develop test plans & automation frameworks to validate system performance across real-world scenarios. Hands-on experience in benchmarking and optimizing Deep Learning Models on AI Accelerators/GPUs Implement E2E solutions to integrate Inference systems with customer software workflows Identify and implement metrics to measure retrieval accuracy, LLM response quality Test Automation Build automated pipelines for regression, integration, and adversarial testing of RAG workflows. Validate search relevance, document ranking, and context injection into LLMs using rigorous test cases. Collaborate with ML engineers and data scientists to debug model failures and identify areas for improvement. Conduct scalability and latency tests for retrieval-heavy applications. Analyze failure patterns, drift detection, and robustness against hallucinations and misinformation. Collaboration Work closely with AI research, engineering teams & customer teams to align testing with business requirements. Generate test reports, dashboards, and insights to drive model improvements. Stay up to date with the latest AI testing frameworks, LLM evaluation benchmarks, and retrieval models. Required Qualifications: 1+ years of experience in AI/ML system testing, software quality engineering, or related fields. Bachelor’s or master’s degree in computer science engineering/ data science / AI/ML Hands-on experience with test automation frameworks (e.g., PyTest, Robot Framework, JMeter). Proficiency in Python, SQL, API testing, vector databases (e.g., FAISS, Weaviate, Pinecone) and retrieval pipelines. Experience with ML model validation metrics (e.g., BLEU, ROUGE, MRR, NDCG). Expertise in CI/CD pipelines, cloud platforms (AWS/GCP/Azure), and containerization (Docker, Kubernetes). Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 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.