Windows System AI Engineer Jobs in Hyderabad
241 Jobs Found
Ai Solution Architect
Zl Tech
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.
Technical Lead - Backend Development
Zl Tech
Technical Lead Backend Development Location: Hyderabad, IN Employment Type: Full-Time Department: Engineering & Product Development Role Overview ZL Technologies is seeking a highly skilled Technical Lead Backend Development with deep expertise in Java and large-scale distributed systems. As a key member of our engineering team, you will architect, develop, and optimize server-side components, ensuring high scalability, availability, and performance. You will lead backend development efforts, mentor teams, and deliver robust solutions that power our cutting-edge products. Key Responsibilities Design, develop, and maintain scalable and robust backend services and system architectures using Java. Architect and build reusable code and libraries to support efficient application development and future scalability. Collaborate closely with cross-functional teams and stakeholders to understand requirements and translate them into effective technical solutions. Lead, mentor, and guide engineering teams to deliver high-quality, optimized code in adherence to organizational standards and best practices. Manage and optimize search and retrieval performance internally, contributing to information retrieval components. Ensure software solutions meet high standards of quality, scalability, and maintainability. Apply strong analytical and problem-solving skills to make decisions on architecture and implementation. Maintain clear communication and documentation throughout the software development lifecycle. Required Qualifications 7+ years of hands-on experience in backend development, focusing on large-scale distributed systems, complex software design, scalability, and performance optimization. Strong proficiency in Java server-side development. Experience in information retrieval systems with an emphasis on optimizing internal search performance. Proven ability to lead technical teams and manage project deliverables. In-depth knowledge of algorithms and data structures. Bachelor s degree in Computer Science, Engineering, or a related field (Master s degree preferred). Experience with coding standards, version control systems (especially Git), and software best practices. Excellent problem-solving and decision-making capabilities. Preferred Skills and Technologies Familiarity with open-source tools and frameworks such as Tomcat, Lucene, Zookeeper, Kafka, Netty, and NoSQL databases. Experience building RESTful APIs and microservices architectures. Hands-on experience with containerization technologies like Docker and orchestration tools such as Kubernetes. Knowledge of big data technologies and cloud platforms. Strong understanding of Unix/Linux and Windows operating systems, networking, and system scaling techniques. Excellent verbal and written communication skills. Lead backend development for cutting-edge enterprise solutions. Work in a collaborative, innovation-driven environment. Opportunity to influence product architecture and engineering best practices. Be part of a fast-growing company with a global impact. Qualification : Bachelors degree in Computer Science, Engineering, or a related field (Masters degree preferred).
Senior Data Engineer
Blend360 India
Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.
Senior Mlops Engineer
Blend360 India
Senior MLOps Engineer Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years (with 3 years specifically in ML Engineering) Company: Blend About Blend: Blend is a premier AI services provider committed to driving meaningful impact through data science, AI, and technology. We empower businesses by seamlessly aligning human expertise with artificial intelligence to unlock innovation and value. Job Summary: We are looking for a Senior MLOps Engineer with deep expertise in building, deploying, and managing ML pipelines on AWS. The ideal candidate will have hands-on experience with Amazon SageMaker and a strong foundation in Infrastructure as Code to support scalable and reliable ML operations. Key Responsibilities: Maintain and enhance ML pipelines on AWS, focusing on Infrastructure as Code (IaC) using CloudFormation. Implement essential pipeline extensions to support ongoing data science workflows. Document infrastructure usage, system architecture, and designs using tools such as Confluence, GitHub Wikis, and system diagrams. Serve as the internal expert on ML infrastructure, collaborating closely with data scientists to guide and support model deployment. Research and apply optimization strategies for ML workflows and infrastructure performance. Work independently and collaboratively with cross-functional teams to support ML product deployment and platform migration initiatives. Qualifications: 5+ years of hands-on DevOps experience with AWS Cloud. Proven track record of deploying at least two MLOps projects using Amazon SageMaker or similar AWS ML services. Strong proficiency in AWS services including SageMaker, ECR, S3, Lambda, and Step Functions. Expertise in Infrastructure as Code with CloudFormation across development, testing, and production environments. Solid understanding of MLOps best practices and fundamental data science principles. Proficient in Python for scripting and automation tasks. Experience with building and managing Docker images. Hands-on experience with Git-based version control systems such as AWS CodeCommit or GitHub, including GitHub Actions for CI/CD pipelines. Work with cutting-edge AI and ML technologies in a highly innovative environment. Collaborate with top-tier experts in data science and cloud engineering. Opportunities for professional growth, mentorship, and certification support. Competitive compensation package and dynamic work culture. Interested? Apply now to be part of Blend s mission to revolutionize AI-driven innovation!
Staff Engineer - Pc Gaming Middleware Development
Qualcomm India Private Limited
Staff Engineer PC Gaming Middleware Development Location: Hyderabad, Telangana, India Company: Qualcomm India Private Limited Job Overview Qualcomm s in-house Game Studio is looking for a talented and experienced Staff Engineer to lead development efforts in PC gaming middleware on Snapdragon-powered devices. This role is a unique opportunity to work with pre-commercial hardware and shape the future of gaming on always-on, always-connected Snapdragon PCs. As a Staff Engineer, you ll contribute to developing and porting game middleware to open-source and proprietary game engines. You ll also play a critical role in optimizing CPU, GPU, and system-level performance for gaming workloads on Windows. Key Responsibilities Develop and port gaming middleware for both open-source and proprietary game engines. Optimize performance across CPU, GPU, and overall system for gaming use cases on Windows Snapdragon devices. Collaborate with game engine and hardware teams to showcase gaming capabilities on Snapdragon platforms. Work on modern rendering algorithms and improve game engine pipelines. Contribute to toolchain and workflow development for content creation and performance profiling. Minimum Qualifications 5+ years of professional software development experience. Strong proficiency in C++ and solid understanding of its specifications. Experience in Windows game development and performance optimization. Solid foundation in 3D graphics and mathematics. Understanding of modern PC and console rendering pipelines. Strong written and verbal communication skills. Self-driven and passionate about gaming technology. Preferred Qualifications Experience with Unreal Engine or other open-source engines. Background in tools development is a plus. Familiarity with profilers and debuggers such as RenderDoc, Intel VTune, etc. Experience working with large-scale, multi-million-line codebases. Knowledge of multithreaded programming paradigms. Educational Requirements Bachelor s degree in Computer Science, Engineering, Information Systems, or a related field and 4+ years of software development experience. OR Master s degree and 3+ years of relevant experience. OR PhD and 2+ years of relevant experience. Programming language experience: Minimum 2 years with C, C++, Java, Python, or similar languages. About Qualcomm Qualcomm is a global leader in wireless technology and chipset innovation, powering cutting-edge devices from mobile phones to AR/VR, automotive, and next-gen PCs. Our Game Studio is a hub of gaming innovation, comprised of veteran developers, artists, and engineers dedicated to redefining the future of gaming across platforms. Join us to work on breakthrough gaming experiences that will power the next generation of Snapdragon-powered PCs. Qualification : Educational Requirements Bachelors degree in Computer Science, Engineering, Information Systems, or a related field and 4+ years of software development experience. OR Masters degree and 3+ years of relevant experience. OR PhD and 2+ years of relevant experience. Programming language experience: Minimum 2 years with C, C++, Java, Python, or similar languages.
Principal Ai + Windows Engineer
Microsoft
Principal AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role We are hiring a Principal Software Engineer to lead critical initiatives for the flagship Microsoft 365 Copilot App on Windows. Join our high-caliber team in India working at the forefront of AI innovation. You will be a key contributor to building AI-powered features that enhance productivity and collaboration across platforms, including Windows, Mac, Android, iOS, and web. Microsoft 365 Copilot is a transformative AI assistant already used by over 100 million users globally. This is a unique opportunity to impact billions of lives and shape the future of AI-powered productivity at scale. Key Responsibilities Design and implement robust, scalable features for the Windows-based Microsoft 365 Copilot application. Ensure feature integration aligns with overall product architecture and design principles. Develop and maintain automation, write test plans, and provide accurate task estimates. Embrace team-wide best practices for quality, security, and performance. Demonstrate strong ownership, accountability, and a continuous learning mindset. Collaborate across global teams including Product, Design, QA, and Engineering stakeholders. Participate in agile sprints and the full software development life cycle (SDLC). Required Qualifications Bachelor s degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience. Proficiency in one or more programming languages: C, C++, C#, Java, JavaScript, Python. Strong customer-centric mindset and a passion for delivering high-impact experiences. Excellent problem-solving skills and ability to work in fast-paced, ambiguous environments. Outstanding communication and cross-functional collaboration abilities. Preferred Qualifications 10+ years of industry experience OR Master s degree in Computer Science with 8+ years of experience. Background in Office technologies or experience developing for Windows, iOS, Android, or Mac platforms. Familiarity with cloud technologies and services, preferably Microsoft Azure. Hands-on experience with agile methodologies and large-scale commercial software products. At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. We value integrity, respect, accountability, and inclusion. As part of our team, you will be immersed in a culture of innovation and growth where everyone can thrive. Work with Purpose This role offers a once-in-a-career opportunity to work on cutting-edge AI technologies that will redefine how people interact with productivity software. If you are passionate about AI, Windows platforms, and building scalable, elegant, and secure solutions, we want to hear from you. Qualification : Bachelors degree in Computer Science or related technical field AND 6+ years of experience in software engineering, OR equivalent practical experience.
Senior Ai + Windows Engineer (windows)
Microsoft
Senior AI + Windows Engineer Location: Hyderabad, Telangana, India Employment Type: Full-Time About the Role The Microsoft 365 Copilot India team is seeking high-caliber Senior Software Engineers to join a strategic initiative building next-generation AI-powered experiences for Microsoft 365 on Windows. Microsoft 365 Copilot is the flagship commercial AI Copilot solution, impacting millions of users globally across platforms (Windows, Mac, Web, Android, and iOS). As a Senior AI + Windows Engineer, you ll help shape key components of the Windows Copilot App, working in a fast-paced and impactful engineering environment with high visibility across the company. Key Responsibilities Collaborate with stakeholders to determine requirements and use cases for Windows-based AI features. Design, implement, and optimize high-performance, maintainable, and scalable code using C/C++ or C#. Participate in all phases of the SDLC design, coding, testing, debugging, and deployment. Develop and execute automation and test plans while providing accurate task estimates. Act as a Designated Responsible Individual (DRI) for system health monitor, respond to outages, and ensure high availability. Mentor junior engineers and support cross-team technical collaboration. Stay current with emerging trends and patterns in AI, distributed systems, and platform performance optimization. Required Qualifications Bachelor s degree in Computer Science or related technical field AND 4+ years of professional software engineering experience. Proficiency in at least one of the following: C, C++, C#, Java, JavaScript, Python. Strong software design, problem-solving, and debugging skills. Ability to rapidly grasp new technologies and systems. Effective communication and collaboration skills across engineering and product teams. Preferred Qualifications Deep experience with Windows platform development. Strong hands-on expertise in C/C++ for native Windows applications. Customer-first mindset and passion for crafting seamless user experiences. Experience with large-scale commercial software products or distributed systems is a plus. Be a part of a team building transformative AI solutions used by hundreds of millions of users. Microsoft fosters a collaborative, inclusive culture and invests in your learning, growth, and well-being. Employee Benefits Industry-leading healthcare coverage Generous time-off and leave policies Access to learning and development resources Employee discounts and savings programs Parental leave and family support benefits Global networking opportunities and giving programs Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, national origin, physical or mental disability, political affiliation, race, religion, sex, sexual orientation, or any other characteristic protected by applicable laws. Qualification : Bachelors degree in Computer Science or related technical field AND 4+ years of professional software engineering experience.
Software Engineer III, Artificial Intelligence/Machine Learning
Google Careers
Software Engineer III - Artificial Intelligence/Machine Learning Company: Google Location: Hyderabad, Telangana, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio technologies (e.g., voice recognition), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or related technical fields. Experience developing accessible technologies. About the Job Google's software engineers work on next-generation technologies that reshape how billions of users connect, explore, and interact with information. Our projects scale massively and extend well beyond web search. We're looking for engineers who can bring fresh ideas from diverse areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence, natural language processing, UI design, and mobile technologies. As a software engineer, you will focus on critical projects and have opportunities to switch teams and roles as Google s fast-paced business grows. We need engineers who are versatile, demonstrate leadership skills, and are eager to tackle new challenges across the full-stack to help push technology forward. Our mission is to organize the world's information and make it universally accessible and useful. The Devices & Services team at Google combines AI, software, and hardware to create groundbreaking user experiences. We research, design, and develop new technologies to make user interactions faster, seamless, and more powerful. Whether capturing new ways to sense the world, advancing form factors, or improving interaction methods, the Devices & Services team is making a positive impact on people's lives through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation and educational content, adapting it based on updates and feedback. Triage product or system issues, debug, track, and resolve them by analyzing the sources of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilizing ML infrastructure and contributing to model optimization and data processing. Qualification : Bachelors degree or equivalent practical experience.
Sr Engineer/sr. Lead - Generative Ai
Qualcomm India Private Limited
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
Solutions Architect
Kore.ai
Job Opening: Solutions Architect Location: Hyderabad | Full-Time About Kore.ai Kore.ai is a pioneering force in enterprise AI transformation, empowering organizations through our comprehensive agentic AI platform. With innovative offerings across "AI for Service," "AI for Work," and "AI for Process," we enable over 400+ Global 2000 companies to fundamentally reimagine their operations, customer experiences, and employee productivity. Our end-to-end platform enables enterprises to build, deploy, manage, monitor, and continuously improve agentic applications at scale. We've automated over 1 billion interactions every year with voice and digital AI in customer service, and transformed employee experiences for tens of thousands of employees through productivity and AI-driven workflow automation. Recognized as a leader by Gartner, Forrester, IDC, ISG, and Everest, Kore.ai has secured Series D funding of $150M, including strategic investment from NVIDIA to drive Enterprise AI innovation. Founded in 2014 and headquartered in Florida, we maintain a global presence with offices in India, the UK, Germany, Korea, and Japan. About the Role The Solutions Architect will play a key role in translating business requirements into technical specifications and designing cutting-edge solutions to meet customer needs. The role involves creating detailed design documents, defining implementation strategies, and collaborating with teams to develop high-quality, scalable applications. As a leader, you will work closely with clients to propose technical solutions that resolve business issues while driving the overall architecture and technical direction. What You'll Do Design & Architecture: Prepare detailed design documents and approaches using various tools. Define implementation approaches, algorithms, and code structure to meet requirements. Technical Leadership: Lead the analysis, design, and implementation planning of technical/business solutions. Take a cross-team leadership role to ensure the solution aligns with business objectives. Customer Interaction: Interface with customers to understand their technical environments and propose technical solutions to resolve business challenges. Technology Selection: Stay up to date with the latest technologies and tools, evaluating and selecting appropriate technologies as per project requirements. System Integration: Identify interfaces with other products and ensure seamless integration. Work on scaling and optimizing the performance of large systems and web applications. Development & Implementation: Define and create SOAP & RESTful web services. Work on reporting & analytics, and consumer/employee-facing business applications. Qualifications & Experience Experience: 10+ years of overall technical experience with a minimum of 3 years as a Technical Solution Architect. Technical Skills: Experience in OOPS, Multi-threading, JavaScript, jQuery, Node.js, HTML5, CSS3, and user authentication/authorization models. System Design & Architecture: Experience in defining technical solutions, creating technical specifications, and working on large-scale systems and web applications. Experience in API Development: Expertise in SOAP & RESTful web services, along with experience in system integration and reporting & analytics. Nice to Have: Experience in Smartbot development and integrating with NLP engines, and familiarity with AI frameworks and technologies. Education Qualification Graduate in Engineering or Master's in Computer Applications (MCA) preferred. Be a part of a global leader in AI technology, driving transformation in enterprise operations and customer experiences. Work in an innovative environment with cutting-edge technologies, where you ll lead technical solutions that impact global businesses. Collaborate with a talented team and contribute to building scalable, impactful AI applications that are transforming industries. Kore.ai, founded in 2014 by serial entrepreneur Raj Koneru, is headquartered in Florida, USA, with additional offices in India, the UK, Germany, Korea, and Japan. Our diverse and talented team of professionals is committed to driving the future of enterprise AI solutions. We ve earned recognition from top analysts like Gartner, Forrester, and IDC, making us a leader in the AI space. Qualification : Graduate in Engineering or Master's in Computer Applications (MCA) preferred.
Ai/ml Developer
Infor
Summary: As an AI/ML Developer, you ll play a pivotal role in creating and delivering cutting-edge enterprise applications and automations using Infor s AI, RPA, and OS platform technology. Your mission will be to identify innovative use cases, develop proof of concepts (PoCs), and deliver enterprise automation solutions that elevate workforce productivity and improve business performance for our customers. Title: Software Engineer Experience: 2-5 years. Skill: AI/ML, Python, AWS, SQL Location: Hyderabad Key Responsibilities: Use Case Identification: Dive deep into customer requirements and business challenges. Identify innovative use cases that can be addressed through AI/ML solutions. Data Insights: Perform exploratory data analysis on large and complex datasets. Assess data quality, extract insights, and share findings. Data Preparation: Gather relevant datasets for training and testing. Clean, preprocess, and augment data to ensure suitability for AI tasks. Model Development: Train and fine-tune AI/ML models. Evaluate performance using appropriate metrics and benchmarks, optimizing for efficiency. Integration and Deployment: Collaborate with software engineers and developers to seamlessly integrate AI/ML models into enterprise systems and applications. Handle production deployment challenges. Continuous Improvement: Evaluate and enhance the performance and capabilities of deployed AI products. Monitor user feedback and iterate on models and algorithms to address limitations and enhance user experience. Proof of Concepts (PoCs): Develop PoCs to validate the feasibility and effectiveness of proposed solutions. Showcase the art of the possible to our clients. Collaboration with Development Teams: Work closely with development teams on new use cases. Best Practices and Requirements: Collaborate with team members to determine best practices and requirements. Innovation: Contribute to our efforts in enterprise automation and cloud innovation. Key Requirements: Experience: A minimum 3 years of hands-on experience in implementing AI/ML models in enterprise systems. AI/ML Concepts: In-depth understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Languages: Proficiency in Python or R, along with querying languages like SQL. Data Handling: Ability to work with large datasets, perform data preprocessing, and wrangle data effectively. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML for implementing ML solutions is highly preferred. Frameworks and Libraries: Familiarity with scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking abilities to identify problems, formulate hypotheses, and design experiments. Business Process Understanding: Good understanding of business processes and how they can be automated. Domain Expertise: Familiarity with Demand Forecasting, Anomaly Detection, Pricing, Recommendation, or Analytics solutions. Global Project Experience: Proven track record of working with global customers on multiple projects. Customer Interaction: Experience facing customers and understanding their needs. Communication Skills: Excellent verbal and written communication skills. Analytical Mindset: Strong analytical and problem-solving skills. Collaboration: Ability to work independently and collaboratively. Educational Background: Bachelor s or Master s degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or specialization in AI, ML, Statistics & Probability, Deep Learning, Computer Vision, or NLP/NLU is advantageous. About Infor: Infor is a global leader in business cloud software products for companies in industry specific markets. Infor builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first, leverages data science, and integrates easily into existing systems. Over 60,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation.
Global Infrastructure Engineer Identity
Iq Eq Regcom Limited
Job Description Responsibilities Identify projects and initiatives to deliver tangible end user operational improvements across the internal and external IT ecosystem. Collaborate with IT teams to ensure seamless integration with existing systems Engineer and optimize systems to operate within defined SLAs and achieve internal KPIs related to IAM efficiency, security, and performance. Feedback from users on IAM processes (i.e. access request/revoke, access lock down, etc.). Number of help desk tickets related to IAM issues (e.g., login problems, access issues). Implement automation and process improvements to streamline IAM workflows (e.g., automated role definitions, workflow optimization), increasing operational efficiency. Tasks Design and engineer IAM solutions to support the full lifecycle of client identities, from onboarding to offboarding, ensuring secure and efficient processes. Manage and execute changes to IAM systems (e.g., SailPoint, Active Directory, Entra ID), driving system improvements while minimizing disruptions and adhering to change management protocols for security and system stability. Conduct periodic reviews of user access rights and support in forensic analysis and compliance reports. Assist in preparing for internal and external IAM audits, ensuring proper documentation and compliance. Support the implementation of Single Sign-On (SSO) systems across enterprise applications. Troubleshoot authentication issues related to login and access. Ordinary and Extraordinary administration and optimization if IAM systems (e.g., SailPoint, Active Directory, Entra ID), focusing on improving system performance, scalability, and security. Collaborate with help desk and support teams to escalate and manage complex cases. Develop, maintain, and update technical documentation related to system configurations, processes, troubleshooting steps, and resolutions, ensuring high-quality knowledge management. Working with Windows NTFS and DFS services Key competencies for position and level In addition to demonstrating our Global Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following: Be a strong team player. Proactive mindset to always look to make improvements. Confident communication skills with the ability to speak to business stakeholders / application owners technical individuals to elicit requirements. Willing to continually learn new skills and technologies. Work well under pressure. Qualifications Education / professional qualifications Graduate degree, preferably in IT related disciplines Microsoft Certifications would be preferred Background experience Hands-on experience with IAM Active Directory and Entra ID on hybrid environment Strong verbal and written communication skills. Knowledge of configuring, troubleshooting, and maintaining IAM tools and systems. Experience of Active Directory, Windows Servers and NTFS permissions. Knowledge of VMware, Azure hosting and SailPoint platform is nice to have. Company, product, and market knowledge Experience of working in a complex, multi-country professional services, financial services or BPO organisation with complex processing requirements preferred but not essential. Multi-country experience and demonstrates an ability to work in a multi-cultural, talented, and demanding team environment. Excellent communication skills in both written and oral form, with staff members, customers, suppliers, and the management team with the ability to make decisions, act and get results. Passion, dynamism, and drive Personal presence, integrity, and credibility Ability to solve problems either independently or by utilising other members of the team where necessary. Ability to focus on priority, when business impact required. Languages Fully proficient spoken and written English, additional European languages will be an asset Company description IQEQ is a preeminent service provider to the alternative asset industry. IQEQ works with managers in multiple capacities ranging from hedge fund, private equity fund, and mutual fund launches; private equity fund administration; advisory firm set-up, regulatory registration and infrastructure design; ongoing regulatory compliance (SEC, CFTC, and 40 Act); financial controls and operational support services; compliance and operational related projects and reviews; and outsourced CFO/controller and administration services to private equity fund investments portfolio companies, real estate assets and energy assets. Our client base is growing, and our existing clients are engaging the firm across the spectrum of our services offerings. Qualification : Graduate degree, preferably in IT related disciplines Microsoft Certifications would be preferred
Principal Engineer - Linux & Infrastructure
Arcesium
Principal Engineer - Infrastructure Development Company Overview Arcesium is a global financial technology firm that solves complex data-driven challenges faced by some of the world s most sophisticated financial institutions. We constantly innovate our platform and capabilities to meet tomorrow s challenges, anticipate the risks our clients encounter, and design advanced solutions to help our clients achieve transformational business outcomes. Financial technology is a high-growth industry as change and innovation continue to disrupt the status-quo and prompt major transformation. Arcesium is at a particularly interesting time in our own growth as we look to leverage our successfully established market position and expand operations in pursuit of strategic new business opportunities. We value intellectual curiosity, proactive ownership, and collaboration with colleagues, and we empower you to meaningfully contribute from day one and accelerate your professional development. Arcesium seeks a talented and motivated Principal Engineer to join our Infrastructure Development team. This person will work and coordinate internal projects and support Engineering Managers. The successful candidate will be responsible for a variety of critical initiatives that will help Arcesium achieve its strategic goals and growth. The Infrastructure Development team is responsible for multiple functional areas which include Access & Identity Management, Linux Compute, Discovery, Networking, Observability, SDLC, and Storage, built on top of AWS, which provide the foundation upon which our customer-facing financial technology platform builds and runs. Infrastructure is a high-impact engineering team that builds new services, automates systems, integrates cloud & open-source software, and operates critical systems depending on the needs of the firm. What you'll do: Help build the next generation of IT infrastructure e.g. containers infrastructure using Docker & Kubernetes cluster create, manage and upgrade. Create, consult on and review architectural decisions of infrastructure projects/products. Build and maintain the firm s critical IT infrastructure such as Linux, Windows, Git, DNS, Kerberos, Syslog, Apache, Perl, Python, E-mail, Ansible, ELK. Safeguard the firm s and its customers data. Minimize the risk of system failures and ensure that controls are in place to detect failures. Work with tech teams to ensure infrastructure scales dynamically based on the usage pattern. Collaborate with internal teams to develop messaging to senior stakeholders. Build and maintain relationships and create trust with internal stakeholders and Application Engineering teams. Communicate with all stakeholders, prepare project plans, release notes and conduct regular governance meetings. What you'll need: 10-20 years of experience in system administration/software engineering. Strong programming experience in Python/C/Go/Haskell. Good knowledge of Unix system, web technologies, and AWS. Experience with tools and processes that will help you manage, understand, and debug large, complex distributed systems. Attention to detail and quality, and the ability to work well in and across teams. The ability to be self-motivated and to think independently while being a team player. Exceptional verbal and written communication skills. Ability to multitask and manage multiple deliverables paired with a can-do attitude.
Senior Devops Engineer
Clovertex
Job Role: Senior DevOps Engineer Location: Hyderabad Job Description Sr. DevOps developer you will define designs, provide technical enablement for application components or subsystems for research applications. Your major focus will be on writing code in python or similar and enable integration with various systems. Responsibilities: 8-13 years of experience in (L3 Skills) (AWS, Python, Groovy, Jenkins). Experience working on AWS Cloud platform. Hands-on experience with infrastructure as code tools like Terraform/CloudFormation. Design, test and implement CI/CD including automation using bitbucket/GitHub, Jenkins. Strong programming skills on Python or Groovy or similar Experience working with different AWS services like Ec2, EBS, RDS, IAM, VPC, Lambda, S3, EKS, etc. Experience in building, managing and deployment of Docker images on EKS. Experience in administering both Unix/Linux and Windows operating systems. Prior experience on monitoring and alerting systems like Prometheus/Alert Manager/Grafana Should demonstrate strong Troubleshooting skills. Good to have: Experience with configuration management tools (E.g., Ansible, Chef) Understanding of Monitoring tools (New Relic, PagerDuty, Splunk, CloudWatch etc.) Strong Communication and documentation skills Ability to learn and apply new technologies through self-Learning. Preferred Certifications: AWS Solution Architect Associate or Up / AWS DevOps Associate or Up Benefits: We strongly believe in a competitive salary and benefits package for our employees. Along with the opportunity to work on cutting-edge technologies in the Biotechnology Industry, Clovertex also reimburse AWS certifications at various levels. Clovertex understands the importance of Work Life balance and provides Hybrid work model. Health insurance and benefits for the employees and dependents. Additional Information: Clovertex is an equal opportunity employer and values diversity in the workplace. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to creating a positive and inclusive work environment for all employees.
Lead Software Engineer
Blend360 India
Role Overview: We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will possess a strong technical background, proven leadership experience, and expertise in building scalable, resilient, and secure applications. In this role, you will lead the design, development, and deployment of backend services, collaborating with cross-functional teams to deliver impactful solutions. Key Responsibilities: Lead design and development of applications using microservice architecture to ensure scalability, resilience, and high performance. Develop and maintain FastAPI-based backend services, optimizing for scalability and reliability. Implement best practices for logging, monitoring, health checks, and error handling to ensure robust service performance. Optimize code quality, security, and performance across the development lifecycle. Utilize containerization technologies (e.g., Docker, Kubernetes) for efficient application deployment and management. Collaborate with cross-functional teams to define, design, and implement new features that align with business objectives. Establish and manage CI/CD pipelines to automate deployment and ensure consistent, efficient delivery of software. Adhere to API design and development best practices, ensuring high-quality and secure services. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana) for performance tracking and proactive issue resolution. Ensure adherence to version control systems (e.g., Git) and best practices in collaborative workflows. Qualifications: Proven experience in leading technical teams and developing applications using microservice architecture. Proficiency in Python and FastAPI for building robust and scalable backend services. Deep understanding of Pydantic for data validation in FastAPI. Experience with containerization technologies such as Docker and Kubernetes for efficient application deployment. Familiarity with CI/CD pipelines and automation tools to streamline the development and deployment process. Strong knowledge of API design and implementation best practices, ensuring high-quality and secure integrations. Experience with monitoring and logging tools like Prometheus and Grafana. Strong understanding of security best practices in microservices-based applications to ensure data integrity and confidentiality. Nice to Have: Experience with Retriever models, including the implementation of chunking strategies. Familiarity with vector databases and their relevant use cases in AI-driven applications. Understanding of optimal approaches for querying LLM models via API. Experience with prompt engineering and strategies for effective interaction with LLMs. Exposure to various prompt engineering techniques in different AI scenarios. At Blend, we believe in the transformative power of AI, combined with human expertise, to create meaningful impacts. Join our team and contribute to cutting-edge technology projects that shape the future of AI and innovation. Enjoy a culture that fosters collaboration, growth, and creativity while working alongside some of the brightest minds in the industry.
Engineering Manager, Machine Learning
Google Careers
About the Job Like Google's own ambitions, the role of a Software Engineering Manager goes beyond Search. This position combines technical leadership with team management to drive high-impact AI/ML projects while enabling engineers to deliver their best work. You ll manage project goals, product strategy, and team development, ensuring that both innovation and execution stay at the forefront. Google s engineering teams tackle challenges across AI, natural language processing, large-scale system design, distributed computing, security, and more. As a manager, you ll guide the team in exploring new technologies while building AI/ML solutions that scale for Google's IT and Support business, driving efficiencies at scale through automation. In Corp Eng, we deliver world-class business solutions for all Googlers. By combining AI, ML, and automation, we help improve processes, build impactful solutions, and empower teams to create more helpful products and services. Simply put: We are Google for Googlers. Responsibilities Lead a team of engineers, driving technical strategy and execution of key AI/ML projects, ensuring timely and high-quality delivery. Build applied ML products using the latest ML techniques and tools (e.g., TensorFlow, deep learning, natural language processing). Drive engineering projects and ML model development to enable agentic automation and deliver scalable solutions. Collaborate with leadership across functions to identify new opportunities, design solutions, and shape the vision for AI/ML in the IT and Support space. Minimum Qualifications Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience. 8 years of experience in software development using one or more programming languages (e.g., Python, C, C++, Java, JavaScript). 5 years of experience with machine learning algorithms and tools (e.g., TensorFlow) or applied ML (e.g., deep learning, natural language processing). 3 years of technical leadership experience, including 2 years in people management or team supervision. Preferred Qualifications Master s degree or PhD in Engineering, Computer Science, or a related technical field. Strong knowledge of AI/ML algorithms, techniques, and tools. Excellent problem-solving, analytical, and communication skills.
Specialist Is Engineer
Amgen Inc
Join Amgen s Mission of Serving Patients At Amgen, you re part of something bigger our shared mission to serve patients with serious illnesses drives everything we do. Since 1980, we ve been pioneers in the biotech industry, focusing on Oncology, Inflammation, General Medicine, and Rare Diseases, helping millions of patients live longer, fuller lives. Amgen remains on the cutting edge of innovation, combining biology and technology with human genetic data to push beyond what s possible today. Specialist IS Engineer What You ll Do As a Specialist IS Engineer, you will develop and implement the next generation of pharmacovigilance platforms while supporting existing technologies. This includes designing, developing, and deploying complex software solutions while mentoring junior developers. You ll collaborate with cross-functional teams to deliver high-quality, scalable solutions that ensure system reliability and innovation in safety systems. Key Responsibilities Design, develop, and deploy solutions for pharmacovigilance systems to enhance adverse event intake and distribution. Ensure technical implementation aligns with GxP validation processes and IS Change Control standards. Collaborate with partners to prioritize system enhancements and new functionalities for safety systems. Develop innovative solutions using Generative AI and large language models (LLMs) like OpenAI GPT for improved decision-making and efficiency. Rapidly prototype and translate concepts into working code. Drive automation and process improvements within the drug-safety ecosystem. Conduct code reviews and maintain technical documentation for architecture, design, deployment, and disaster recovery. Lead technical root cause analyses and collaborate with software vendors to resolve system-related issues. Basic Qualifications Master s Degree with 4 6 years of experience, or Bachelor s Degree with 6 8 years of experience, or Diploma with 10 12 years of experience in Computer Science, Software Development, or a related field Required Skills Must-Have: Proficiency in SQL, Databricks, and data modeling concepts Experience in Python or JavaScript and reporting tools like Power BI or Tableau Familiarity with PV terminologies and regulatory compliance Hands-on experience with SDLC, ETL tools (Informatica, Databricks), and API integrations (MuleSoft) Strong problem-solving skills, collaborative mindset, and effective communication Knowledge of ITIL processes and GxP validation Nice-to-Have: Experience with COTS Pharmacovigilance Platforms (e.g., Argus) Cloud experience with AWS or Azure Knowledge of AI, Machine Learning (ML), Natural Language Processing (NLP) Professional certifications such as SAFe Agile Software Engineer or SAFe for Teams Soft Skills Strong verbal and written communication skills Analytical and problem-solving mindset Ability to collaborate with global, virtual teams Initiative-driven with an ownership mindset Adaptability and resilience in ambiguous situations What You Can Expect Amgen offers a collaborative, science-driven culture and comprehensive benefits, including competitive salaries, professional growth support, and a focus on your well-being. Shift Information: This role may require working late shifts, with potential for evening or night schedules based on business needs. Apply now to make a real difference in the lives of patients while transforming your career at careers.amgen.com. Equal Opportunity Employer: Amgen is committed to creating a diverse and inclusive environment. We provide reasonable accommodations to individuals with disabilities.
Digital Workplace Services -windows Client Engineer
Novartis
Summary Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you. As a Windows Client Engineer, you will be responsible for ensuring the smooth operation, security, and performance optimization of our Windows client infrastructure. The ideal candidate will have a deep understanding of Windows operating systems and extensive experience in managing and troubleshooting Windows client systems in a corporate environment. About the Role Responsibilities for this role include, but are not limited to: • Install, configure, and maintain Windows operating systems (Windows 10, Windows 11) across the organization's client devices. • Monitor and manage client systems using centralized management tools such as Tachyon, Intune. • Identify and troubleshoot hardware and software issues, working closely with users to resolve technical problems. • Implement and maintain security measures, including antivirus, firewall, and encryption protocols. • Collaborate with cross-functional teams to implement new software or hardware solutions, ensuring compatibility with Windows client systems. • Create and maintain technical documentation, including system configurations, procedures, and troubleshooting guides. • Assist in evaluating new technologies and make recommendations for system improvements. • Provide end-user training and support to ensure understanding and effective usage of Windows client systems. Commitment to Diversity & Inclusion: : We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. What you’ll bring to the role: • Bachelor's degree in computer science, engineering, or a related field (or equivalent experience). Excellent problem-solving and communication skills. • Proven work experience as a Windows Client Engineer or in a similar role. In-depth knowledge of Windows operating systems & Modern provisioning (Autopilot) • Strong understanding of Active Directory, Group Policy, and system security principles. Experience with centralized management tools such as Microsoft Intune and SCCM. • Proficiency in scripting languages (PowerShell or similar) for automation purposes. Knowledge of network protocols, TCP/IP, DNS, and DHCP. • Ability to work independently and collaboratively in a team environment Industry certifications, such as Microsoft Certifications (MCSA, MCSE), are a plus. Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture You’ll receive: Monthly pension contribution matching your individual contribution up to 3% of your gross monthly base salary; Risk Life Insurance (full cost covered by Novartis); 5-week holiday per year; (1 week above the Labour Law requirement) ; 4 paid sick days within one calendar year in case of absence due to sickness without a medical sickness report; Cafeteria employee benefit program – choice of benefits from Benefit Plus Cafeteria in the amount of 12,500 CZK per year; Meal vouchers in amount of 105 CZK for each working day (full tax covered by company); Public Transportation allowance; MultiSport Card. Find out more about Novartis Business Services: Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to learn more about Novartis and our career opportunities, join the Novartis Network here: Accessibility and accommodation: Novartis is committed to working with and providing reasonable accommodation to all individuals. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to receive more detailed information about the essential functions of a position, please send an e-mail to and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Qualification : Bachelor's degree in computer science, engineering, or a related field (or equivalent experience). Excellent problem-solving and communication skills.
Sr Lead Engineer
Qualcomm
The Test & Device Automation team is responsible for developing automation tools for various domains, including Mobile, MDM, Compute, Automotive, XR, and VR. These tools operate on both host systems and devices, enabling automated testing and optimization of Qualcomm Snapdragon platforms. The engineer will participate in design discussions, analyze system requirements, sustain software interfaces, and develop tools to support emerging technologies. Key responsibilities include integrating new features from Android, Windows, XR, and Automotive platforms into automation tools. Key Responsibilities: 1. Tool Development: Create and optimize automation test tools for multiple platforms (Android, Windows, XR, Auto, MDM). Design and develop software interfaces for Qualcomm Snapdragon platforms. 2. Feature Integration: Monitor upcoming API and feature changes in Android and other platforms. Incorporate updates into automation tools to maintain compatibility with new technologies. 3. Problem-Solving & Risk Analysis: Identify end-to-end use cases and risks for integrating new technologies. Address software impacts and incorporate improvements into the tools. Minimum Qualifications: Education: Required: Bachelor s degree in Engineering, Computer Science, or related field with 3+ years of relevant experience. Master s degree with 2+ years of relevant experience. PhD with 1+ year of relevant experience. Experience: Technical Skills: Strong proficiency in C#, C++, Python, and Android programming. Solid understanding of Data Structures and their applications. Proven experience in software test engineering and automation tools development. Familiarity with Source Code Control Systems, Continuous Integration Tools, and Bug Tracking Tools. Other Skills: Analytical and problem-solving abilities. Effective planning, time management, and decision-making skills. Excellent communication and teamwork skills. Preferred Skills: Insight into Android/Windows platforms and their architectures. Experience working in large organizations. Familiarity with XR, VR, and Automotive platforms. Work Environment & Accessibility: Qualcomm is an Equal Opportunity Employer, committed to providing accessibility accommodations during the hiring process for individuals with disabilities. Qualification : Bachelors degree in Engineering, Computer Science, or related field with 3+ years of relevant experience.
Data Scientist Ii
Microsoft
Company Overview: Microsoft s mission is to empower every person and every organization on the planet to achieve more. The Microsoft Security Response Center (MSRC) team is at the forefront of this mission, ensuring the security of Microsoft's products, including the Azure platform. The team operates in an agile, start-up-like environment where innovation, collaboration, and fast-paced execution drive success. We are seeking a skilled Data Scientist to join our dynamic and growing team. This is a unique opportunity to work alongside engineers, data scientists, and security experts to build foundational services that will shape the future of security response. Role Overview: As a Data Scientist at MSRC, you will leverage your expertise in Large Language Models (LLMs), Machine Learning (ML), and Natural Language Processing (NLP) to design and build systems capable of reasoning over vast amounts of data. You will collaborate closely with engineering teams to develop fine-tuned LLM models, evaluate model outputs, and work on solutions that align with the product's needs. This role requires you to think creatively and work across teams to drive innovative solutions while maintaining productive working relationships with stakeholders. Key Responsibilities: Develop ML Systems: Design, build, and deploy systems that enable LLMs to reason over large data sets, leveraging lighter models where applicable. Collaborate with Engineering Teams: Work closely with engineers and partner teams to deliver solutions, including fine-tuning LLM models and evaluating model outputs for product requirements. Applied Science & Experimentation: Conduct experiments in applied science, develop metrics, build ML pipelines, and implement algorithms for LLM, NLP, and Information Retrieval. Data Management & Integrity: Prepare and manage data, ensure data cleanliness, and communicate project updates to senior leadership. Contribute to data ethics and privacy policies. Build Conversational Models: Develop and deploy conversational models for natural language understanding at scale. Responsible AI & Privacy: Advocate for and follow best practices in Responsible AI and Privacy Preserving Machine Learning. Stakeholder Collaboration: Collaborate with security, engineering, and product teams to align models with business goals, gather feedback, and drive effective execution of strategies. Thought Leadership: Provide feedback to engineering teams, identify business opportunities, and contribute to industry best practices. Required Qualifications: Bachelor's Degree in Computer Science or a related technical field AND 4+ years of technical engineering experience in languages like C, C++, C#, Java, JavaScript, or Python, OR Master's Degree in Computer Science or a related field AND 3+ years of technical engineering experience, OR Equivalent experience in the field. 3+ years of hands-on experience in Machine Learning. Proficiency in using ML tools such as Pytorch and TensorFlow. Experience in prompt engineering, fine-tuning, and using OpenAI or Azure Open AI APIs. Strong system development skills with experience in developing both rapid prototypes and complex, architected systems. Preferred Qualifications: Experience developing and deploying conversational models at scale. Familiarity with Responsible AI practices and Privacy Preserving Machine Learning. Ability to collaborate with cross-functional teams and work in a fast-paced environment.
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