Tensorflow Lite Jobs in Hyderabad

Azure Infrastructure Engineer Role Overview: We are seeking an experienced Azure Infrastructure Engineer to join our growing team. The ideal candidate will have hands-on expertise in Azure Resource Management, PaaS services, Compute services, Networking, Storage, Identity & Access Management, Monitoring & Diagnostics, and DevOps practices. You will play a pivotal role in designing, implementing, and maintaining our Azure infrastructure, ensuring it supports a wide range of applications and services. Key Responsibilities: Design & Implement Infrastructure Solutions: Architect scalable, secure, and highly available Azure infrastructure using Azure Resource Manager to meet business and application requirements. Manage Azure PaaS Services: Configure and manage Azure PaaS services (such as Azure App Services, Azure Functions, and Azure SQL Database) to optimize application performance, reliability, and scalability. Oversee Azure Compute Services: Manage and configure Azure Compute Services, including Virtual Machines, App Services, and Container Instances, ensuring efficient resource usage and performance. Networking & Security: Implement networking solutions within Azure, including Virtual Networks, Network Security Groups, and VPN gateways, ensuring secure and efficient network communication. Storage Solutions: Design, implement, and manage Azure storage solutions to ensure high availability, security, and efficient data access for applications. Identity & Access Management: Implement Identity and Access Management (IAM) solutions with Azure Active Directory and Role-Based Access Control (RBAC) to maintain secure user access and permissions across the infrastructure. Monitoring & Diagnostics: Utilize Azure Monitoring and Diagnostics tools to monitor infrastructure performance, identify issues, and ensure optimal operational efficiency. DevOps Integration: Work closely with DevOps teams to integrate infrastructure solutions with CI/CD pipelines, ensuring seamless application deployment, updates, and management. Documentation: Maintain detailed documentation of infrastructure configurations, best practices, and operational procedures for consistency and knowledge sharing across teams. Continuous Improvement: Stay updated with the latest Azure services, features, and best practices. Proactively recommend improvements to enhance infrastructure performance, security, and cost-efficiency. Skills & Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Azure Resource Management: Strong understanding of Azure Resource Manager, deployment automation, and infrastructure-as-code (IaC) practices. Azure PaaS Services: Proven experience managing Azure App Services, Azure Functions, and Azure SQL Database to optimize cloud application performance. Azure Compute Services: Expertise in managing and configuring Virtual Machines, App Services, and Container Instances for compute workloads. Networking Expertise: In-depth knowledge of Azure networking concepts, including Virtual Networks, Network Security Groups, and VPN solutions. Storage Solutions: Solid experience with Azure storage solutions (e.g., Blob Storage, Disk Storage) and best practices for data management and security. Identity & Access Management: Proficiency in Azure Active Directory and Role-Based Access Control (RBAC) for user and resource management. Monitoring & Diagnostics: Experience with Azure Monitoring and Azure Diagnostics tools to maintain system performance and troubleshoot issues. DevOps Knowledge: Familiarity with DevOps practices and experience working with CI/CD pipelines, automation tools, and infrastructure-as-code frameworks (e.g., ARM templates, Terraform). Additional Information: Role: Azure Infrastructure Engineer Department: Cloud Engineering Industry: IT Services Employment Type: Full-time, Permanent Role Category: Infrastructure Engineering Qualification : Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

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.

Job Title: Senior Java Developer Company: Kanerika Inc. Job Location: Hyderabad, Ahmedabad, Indore, India. Relocation assistance will be provided for compelling candidates. Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data. We leverage cutting-edge technologies and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Awards and Recognitions Best Place to Work 2022 by Great Place to Work Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today NASSCOM Emerge 50 Award in 2014 Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances. Working for us Kanerika is rated 4.5/5 on Glass-door, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you ll get while working for Kanerika. Role As a Senior Java Developer, you will utilize your extensive Java programming skills and expertise to design and develop robust and scalable applications. You will collaborate with cross-functional teams, provide technical leadership, and contribute to the entire software development life cycle. With your deep understanding of Java technologies and frameworks, you will ensure the delivery of high-quality solutions that meet the project requirements and adhere to coding standards. Locations We are located in Austin (USA), Singapore, and Hyderabad (India). We are looking for you! As a Java/J2EE Developer, we are looking for a team player who possesses a can-do attitude and thrives on delivering results. Your inquisitive nature and dedication to customer satisfaction drive you to consistently seek innovative ways to enhance your job performance. You excel in dynamic environments, maintain a positive outlook, and understand that professional growth is an ongoing journey where making the right choices is crucial. In this role, you will be primarily responsible for designing and developing RESTful Web Services. Your expertise in working with databases such as Oracle, PostgreSQL, MySQL, or SQL Server will enable you to handle data-related tasks effectively. Leveraging your strong knowledge of the Spring Framework, you will craft web applications and microservices utilizing Spring Boot. Proficiency with application server technologies like Tomcat and experience with continuous integration tools such as Jenkins will be valuable assets. As a dedicated follower of SDLC principles, you prioritize quality and adhere to standards-based development practices. Excellent English communication skills, both written and verbal, will facilitate effective collaboration with your team. Requirements What you ll do Following are high level responsibilities that you will play but not limited to: Discuss new features and collaborate with the development and UX team, commercial product manager and product owner to get functionalities specified and implemented. Agree the technical implementation with involved component owners and estimate its work effort. Write great code and do code reviews for other engineers. Implement, test and demonstrate new product features in an agile process. Develop complete sets of functionalities including the backend and frontend. Create new microservices, or migrate existing services, to run on a cloud infrastructure. Work on further usability, performance improvements or quality assurance, including bug fixes and test automation. Watch out for potential security issues and fix them, or better avoid them altogether. What you ll bring BTech computer science or equivalent. Java development skills with at least 5 years of experience. Knowledge of the most popular java libraries and frameworks: JPA, Spring, Kafka, etc. Have a degree in computer science, or a similar background, or you just have enough professional experience to blow right through all your challenges. Are a great communicator, analytic, goal-oriented, quality-focused, yet still agile person who likes to work with software engineers; you will interact a lot with architects, developers from other teams, component owners and system engineers. Have a clear overview of all layers in computer software development, including REST APIs and how to make and integrate them in our products. Have Java server-side development and SQL and no SQL database knowledge. Are open to pick-up innovative technologies as needed by the team. Have or want to build experience with cloud and DevOps infrastructure (like Kubernetes, Docker, Terraform, Concourse, etc.). Speak English fluently. Benefits Employee Benefits Culture Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a col...

Job Title: Data Governance Lead Job Location: Hyderabad Job Description As a Data Governance Lead at Kanerika, you will be responsible for defining, leading, and operationalizing the data governance framework, ensuring enterprise-wide alignment and regulatory compliance. Key Responsibilities: Governance Strategy & Stakeholder Alignment Develop and maintain enterprise data governance strategies, policies, and standards. Align governance with business goals: compliance, analytics, and decision-making. Collaborate across business, IT, legal, and compliance teams for role alignment. Drive governance training, awareness, and change management programs. Microsoft Purview Administration & Implementation Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure. Optimize Purview setup for large-scale environments (50TB+). Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. Schedule scans, set classification jobs, and maintain collection hierarchies. Metadata & Lineage Management Design metadata repositories and maintain business glossaries and data dictionaries. Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions. Ensure lineage mapping (ADF Synapse Power BI) and impact analysis. Data Classification & Security Governance Define classification rules and sensitivity labels (PII, PCI, PHI). Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager. Enforce records management, lifecycle policies, and information barriers. Data Quality & Policy Management Define KPIs and dashboards to monitor data quality across domains. Collaborate on rule design, remediation workflows, and exception handling. Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management. Business Glossary & Stewardship Maintain business glossary with domain owners and stewards in Purview. Enforce approval workflows, standard naming, and steward responsibilities. Conduct metadata audits for glossary and asset documentation quality. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps. Create pipelines for ingestion, lineage, glossary updates, tagging. Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc. Monitoring, Auditing & Compliance Set up dashboards for audit logs, compliance reporting, metadata coverage. Oversee data lifecycle management across its phases. Support internal and external audit readiness with proper documentation. Requirements 7+ years of experience in data governance and data management. Proficient in Microsoft Purview and Informatica data governance tools. Strong in metadata management, lineage mapping, classification, and security. Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools. Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs. Skilled in bridging technical governance with business and compliance goals. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Lead / Senior DevOps Engineer SRE, Public Cloud & Automation (Hyderabad, India) Full-Time | Software Engineering | Salesforce Hyderabad Drive Automation. Build Scalable Systems. Shape the Future of Cloud Engineering. Join Salesforce as a Lead or Senior DevOps Engineer and play a critical role in operating one of the world s most advanced multi-cloud, microservices, and Kubernetes-based platforms. This is your opportunity to work on high-impact distributed systems that serve tens of millions of users across industries every single day. If you're passionate about DevOps, Site Reliability Engineering (SRE), infrastructure automation, and public cloud platforms, and thrive in fast-paced environments, this role is for you. What You ll Do Maintain and scale a large fleet of Kubernetes clusters powering core Salesforce services and applications Automate everything: from provisioning to deployment and monitoring using tools like Terraform, Python, Go, Spinnaker, and Puppet Ensure high availability, reliability, and performance of large-scale distributed systems Troubleshoot complex, multi-layered production issues across compute, network, and storage layers Implement self-healing systems, smart alerts, and observability solutions using tools like Grafana, Prometheus, Nagios, Zabbix Collaborate closely with engineering, architecture, and platform teams across Salesforce Evaluate and integrate emerging technologies to drive platform resilience, scalability, and automation Required Skills & Qualifications 7+ years of hands-on DevOps or Site Reliability Engineering (SRE) experience in production environments Strong background in Linux systems administration and internals Fluent in scripting or programming languages like Python, Golang, or Bash Deep knowledge of Kubernetes, Docker, and service mesh technologies Experience with AWS (Amazon Web Services) and Infrastructure as Code (IaC) tools like Terraform Strong understanding of networking concepts: TCP/IP, load balancing, switches, DNS, firewalls Familiarity with CI/CD pipelines using tools like Jenkins, Spinnaker, or similar Proficiency in using configuration management tools: Puppet, Chef, or Ansible Proven troubleshooting skills in large-scale distributed systems and cloud-native architectures A continuous learner with strong analytical thinking and collaborative communication skills Preferred / Bonus Skills Prior experience in SRE ownership of large-scale SaaS platforms Experience working with multi-region deployments and resilient architectures Hands-on knowledge of API integration with public cloud vendors (AWS, Azure, GCP) Exposure to data durability, high-availability storage systems, and clustering solutions Perks & Benefits Industry-leading benefits including healthcare, fertility support, adoption & parental leave Well-being reimbursement and generous time-off policies Continuous learning through Trailhead and world-class enablement Mentorship and leadership coaching with executive exposure Opportunities to give back via Salesforce s 1:1:1 philanthropy model Join us in redefining the DevOps landscape and making scalable, secure, and self-healing systems the foundation of modern enterprise software.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

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!

Principal Engineer AI/ML (Hybrid) Location: Hyderabad, India Company: Collins Aerospace (Raytheon Technologies) Experience: 8+ Years Overview Join our Applied Research & Technology (ART) department as a Principal Engineer in AI/ML. Be part of a global team driving innovation in aerospace through advanced technologies like AI/ML, Cloud, and emerging software solutions. Key Responsibilities Lead AI/ML software architecture, development, and deployment. Deliver proof-of-concepts and technology demonstrators across global R&D teams. Contribute to international conferences and publish research papers. Identify and explore disruptive trends in AI/ML, CV, NLP, and Generative AI. Skills & Qualifications Proficiency in Python and one of C/C++/C#/Java. Strong background in AI/ML for embedded or cloud platforms (AWS preferred). Hands-on experience with MLOps and software pipelines. 8+ years in software/AI roles; 2+ years in technical leadership. Bachelor's or Master s in CS, Electronics, or Avionics. AI/ML certifications; Agile/Scrum Master certification preferred. Benefits Group health, life, and accident insurance Transportation and meal vouchers Car lease, LTA, fuel & maintenance support 18 vacation days + 12 contingency leave Employee Scholar Program and pension plan Apply Now Be a pioneer in AI/ML innovation in aerospace. Apply today and help us shape tomorrow s flight technology. Equal Opportunity Statement RTX is an equal opportunity employer. All qualified candidates will receive consideration without regard to race, gender, religion, sexual orientation, or disability status. Qualification : Bachelor's or Masters in CS, Electronics, or Avionics.

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

Lead UI Developer | ThoughtWorks | Hyderabad, India Location: Hyderabad, India Employment Type: Full-time, Regular Industry: Information Technology About ThoughtWorks At ThoughtWorks, we are a leading global technology consultancy committed to transforming the world with digital innovation. For over 30 years, we have delivered extraordinary impact to our clients by tackling complex business challenges and creating cutting-edge technology solutions. Our diverse, inclusive teams continuously push boundaries and innovate across industries. Join us to work on impactful projects, learn from brilliant minds, and accelerate your career in a culture that values curiosity, growth, and collaboration. Job Overview Key Responsibilities Champion Best Practices: Advocate for best practices like TDD (Test-Driven Development), pair programming, design patterns, and continuous delivery to ensure high-quality software delivery and early value realization for end customers. End-to-End Software Delivery: Oversee or participate in the complete cycle of software consulting and delivery from ideation through to post-production evolution ensuring that business goals are met with technical excellence. Solution Design & Technology Selection: Design solutions that address clients unique challenges, balancing technical constraints and strategic goals. Choose the best technologies to create scalable, modular UI systems. UI System Development: Build user interfaces that are not only functional but also delightful, accessible, and mobile-first. Develop using the latest HTML, CSS, and JavaScript standards. Collaboration & Innovation: Work closely with teams to create features, design concepts, and interactive prototypes. Incorporate UX specifications and ensure best practices are embedded at every stage. Hands-On Development: Continue coding alongside developers to maintain technical depth. Lead by example and contribute directly to building high-quality solutions. DevSecOps & Continuous Delivery: Champion the use of DevSecOps practices, advocating for security and integrating continuous delivery pipelines to ensure rapid and secure software deployment. Client & Team Leadership: Own and drive client relationships, translating their vision into actionable technical solutions. Mentor team members, fostering a culture of growth, feedback, and accountability. Stay on Top of New Technologies: Continuously evaluate emerging technologies and incorporate the latest Technology Radar trends into your solutions. Job Qualifications Technical Skills: Experience: 9-15 years of hands-on experience in UI development, with expertise in JavaScript, Typescript, and Angular (latest version). Frontend Architecture Expertise: Deep understanding of modern UI concepts such as design systems, atomic design, micro frontends, progressive web apps, and backend for frontends (BFF). Responsive & Mobile-First Development: Proven ability to build responsive, mobile-first experiences with complex CSS layouts and best practices. Microfrontend Architecture: Extensive experience designing and implementing microfrontend architecture, with a strong understanding of its principles and benefits. Cross-Browser Compatibility: Skilled in resolving cross-browser and cross-platform compatibility issues and using appropriate workarounds. Development Tools: Proficient in TypeScript, familiar with JavaScript build tools, and comfortable using CI/CD tools and TDD approaches. Web Standards & Accessibility: Strong knowledge of web accessibility standards and the latest web technologies (HTTP, multi-tiered web architectures). Professional Skills: Leadership & Mentorship: Act as a mentor to junior team members, fostering growth through technical expertise and a commitment to delivering extraordinary results. Client-Facing: Ability to develop and execute a technical vision aligned with business value, and serve as a trusted partner to clients. Resilience in Ambiguity: Comfortable with ambiguity and able to approach challenges from multiple perspectives, finding innovative solutions. Influence & Advocacy: Advocate for technical excellence and champion best practices while being open to change and evolving client needs. Learning & Development: ThoughtWorks is committed to supporting your growth. You ll have access to interactive tools, a variety of development programs, and teammates eager to help you grow professionally. Career Growth: There s no one-size-fits-all career path at ThoughtWorks. We balance autonomy with support, ensuring your career evolves as per your personal ambitions. Onsite Work Expectation: You will be expected to work out of ThoughtWorks' office or at client locations for all five working days, depending on the project or business requirements. At ThoughtWorks, we are dedicated to delivering innovative solutions and transforming the way businesses engage with technology. By joining our team, you ll have the opportunity to learn, grow, and make an impact through your work. If you are passionate about building exceptional user experiences and working with cutting-edge technologies, we want you on our team!

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.

Job Description We are looking for a motivated Laravel developer to come join our agile team of professionals. If you are passionate about technology, constantly seeking to learn and improve skillset, then you are the type of person we are looking for! Roles and Responsibilities Develop, record and maintain cutting edge web-based PHP applications on portal plus premium service platforms. Build innovative, state-of-the-art applications and collaborate with the User Experience (UX) team. Ensure HTML, CSS, and shared JavaScript is valid and consistent across applications. Prepare and maintain all applications utilizing standard development tools. Utilize backend data services and contribute to increase existing data services API. Lead the entire web application development life cycle right from concept stage to delivery and post launch support. Convey effectively with all task progress, evaluations, suggestions, schedules along with technical and process issues. Document the development process, architecture, and standard components. Coordinate with co-developers and keeps project manager well informed of the status of development effort and serves as liaison between development staff and project manager. Keep abreast of new trends and best practices in web development. Desired Candidate Profile Hands-on PHP web frameworks Laravel with Linux Environment. Understanding the fully synchronous behavior of PHP. Understanding of MVC design patterns. Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3. Knowledge of object oriented PHP programming. Familiarity with limitations of PHP as a platform and its workarounds. Creating database schemas that represent and support business processes. Proficient understanding of code versioning tools, such as Git. Strong knowledge of the common PHP or web server exploits and their solutions. Understanding fundamental design principles behind a scalable application. Having Knowledge on JIRA. Having hands on Experience of payment gateway integration. Good communication skills.

Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.

Job Title: Product Manager - Life & Annuities Insurance Solutions Company: Oracle Location: Hyderabad Position Summary Oracle is looking for a Product Manager to join the Oracle Insurance Policy Administration (OIPA) team. OIPA is a market leader in Life Insurance Policy Administration, helping insurers streamline their operations on a single platform, running on the secure, scalable Oracle Cloud Infrastructure. This role involves owning the entire product lifecycle for Life & Annuities insurance solutions and driving the product strategy, innovation, and customer experience. Key Responsibilities Product Leadership: Own the end-to-end product lifecycle, from ideation to market launch, for Life & Annuities insurance solutions. Define and execute the product strategy, roadmap, and vision, aligning with organizational goals and market needs. Collaborate with cross-functional teams (engineering, design, marketing, sales, operations) to deliver customer-centric, scalable solutions. Industry Expertise: Bring deep knowledge of Life & Annuities insurance products (term life, whole life, universal life, annuities, and riders). Lead the design and conceptualization of product templates and configurations to streamline implementation. Stay updated on regulatory, market, and technological trends to anticipate changes and opportunities. Innovation with GenAI: Implement Generative AI-driven solutions to enhance product personalization, underwriting, customer service, and claims management. Collaborate with data science and engineering teams to develop AI-enabled tools and deliver innovative solutions. Stakeholder Communication: Present complex ideas and strategies to stakeholders, clients, and leadership in a clear, compelling, and professional manner. Develop persuasive documentation, including business cases, product requirements, and technical specifications. Act as a thought leader, representing Oracle at industry events, conferences, and client meetings. Implementation Expertise: Leverage experience in implementing Life & Annuities insurance products across multiple platforms. Partner with delivery teams to ensure seamless product launches and customizations, meeting client-specific requirements. Additional Responsibilities: Gather and document business requirements for new enhancements and product developments. Collaborate with the product team to develop user stories, UI mock-ups, and analyze user feedback. Work with sales and marketing to develop high-quality product collateral and maximize product adoption. Conduct presentations and training sessions for internal stakeholders, customers, and partners. Ideal Candidate Qualifications/Skills Education: Bachelor s or Master s degree in Commerce, Business, or Computer Science from a reputable college/university. Experience: 8+ years of experience in Life & Annuities insurance, with at least 6 years in life insurance. Solutioning Skills: Strong history of delivering extraordinary solutions to clients and managing implementation plans. Project Management: Ability to manage multiple projects, deadlines, and priorities in a fast-paced environment. Collaboration: Excellent collaboration and organizational skills; ability to work effectively across diverse teams. Self-Starter: Proactive, results-oriented, with a can-do attitude and focus on continuous improvement. Insurance Expertise: Prior implementation or product development experience in insurance policy administration systems. Certifications: Any certifications in the life insurance domain are a plus. Qualification : Bachelors or Masters degree in Commerce, Business, or Computer Science from a reputable college/university.

Role Overview: We are looking for a Software Engineer to play a key role in migrating our workflow orchestration system from Azkaban to Apache Airflow. This is a high-impact opportunity to contribute to modernizing our data processing infrastructure, working on a critical migration project that will enhance the performance and scalability of our systems. Key Responsibilities: Migration Strategy: Design, develop, and execute the migration strategy from Azkaban to Apache Airflow, ensuring a smooth transition and minimal disruption to ongoing operations. Automation: Develop Python scripts and automation tools to support the migration process and automate various tasks such as calling APIs and performing database interactions. Testing and Data Validation: Implement best practices for testing and data validation to ensure the accuracy and reliability of the migrated workflows. Process Automation: Collaborate with the development team to automate several manual processes related to release, upgrades, and deployments, improving operational efficiency. Collaboration: Work closely with platform owners and data teams to ensure that workflows continue to operate with the same performance and reliability post-migration. Optimization: Optimize Airflow DAGs for efficiency, modularity, and maintainability, ensuring scalable and high-performance data pipelines. DevOps Practices: Leverage previous DevOps experience focusing on continuous deployment and monitoring, ensuring the smooth and continuous operation of the migration process. Qualifications: Education: Bachelor s degree in Computer Science, Software Engineering, or a related field. Programming Languages: Proficiency in Python for writing automation scripts, including calling APIs and interacting with databases. Kubernetes Ecosystem: Experience creating YAMLs and Helm charts for managing Kubernetes resources. DevOps Experience: Hands-on experience with DevOps practices, particularly focusing on continuous deployment and monitoring. Orchestration System: Proficiency with Apache Airflow or any orchestration system; experience in creating DAGs to run custom workflows is a plus. Jupyter Notebooks: Familiarity with Jupyter notebooks for data processing and analysis is a plus. Qualification : Bachelors degree in computer science, Software Engineering, or a related field.

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a history of creating remarkable outcomes for our customers. We deliver exceptional experiences through cutting-edge analytics, data proficiency, technology, and digital excellence. Job Title: Senior Data Scientist Generative AI Job Summary: Tezo is seeking passionate AI Engineers to harness the power of Generative AI and build cutting-edge solutions that transform enterprises. Join us in revolutionizing the business landscape by developing intelligent, generative AI models that drive real-world impact at scale. In this role, you will be an integral part of the Machine Learning Platforms/Data Science team, focusing on developing, testing, and deploying Generative AI models for enterprise use cases. You ll work closely with architects, developers, and product teams to deliver state-of-the-art AI solutions. What Makes Our AI/ML Practice Unique: Purpose-Driven: We actively respond to our customers' evolving needs with innovative solutions. Collaborative: We foster a positive and engaging work environment where collective ideas thrive. Accountable: We take ownership of our performance, both individually and as a team. Service Excellence: We maximize our potential through continuous learning and improvement. Trusted: We empower individuals to make informed decisions and take calculated risks. Core Responsibilities: Build production-grade Retrieval-Augmented Generation (RAG) solutions with advanced retrieval, re-ranking, and optimization techniques. Develop GenAI applications using LangChain, LlamaIndex, and Vector Stores, leveraging Large Language Models (LLMs). Fine-tune LLMs for specific business use cases (preferred). Design and implement end-to-end machine learning and NLP solutions, including data preprocessing, modeling, and deployment. Deploy ML solutions in production using cloud services such as Azure or AWS. Collaborate with business stakeholders to ensure alignment of AI solutions with organizational goals. Lead and mentor team members, promoting best practices in data science and AI/ML. Qualifications: Required: 4+ years of experience in developing end-to-end machine learning and NLP projects. Hands-on experience with Retrieval-Augmented Generation (RAG) and advanced RAG techniques. Proficiency in building GenAI applications using LangChain, LlamaIndex, and Vector Stores. Strong expertise in Python and SQL for data science projects. Experience deploying ML models in production environments on Azure or AWS. Strong business acumen, stakeholder management, and team-leading skills. Preferred: Experience fine-tuning Large Language Models (LLMs) for business use cases. Familiarity with cloud-native AI/ML services and scalable architecture. At Tezo, you ll be part of a dynamic, innovation-driven team committed to delivering cutting-edge AI solutions that drive real-world transformation. If you re ready to take on exciting challenges and work on impactful projects, we d love to hear from you!

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.

Scope: This role is responsible for client projects that involve route designing and the synthesis of molecules according to client specifications. The position will be carried out independently or through supervision of a team of chemists. Key Responsibilities: Reaction Setup & Execution: Set up and execute reactions for the synthesis of target molecules, ensuring proper reagents and equipment are used, maintaining specified conditions (e.g., temperature, pressure). Project Understanding & Deliverables: Understand the project requirements and deliverables as specified by the manager and client. Literature & Protocol Research: Understand reaction protocols and research literature as required for efficient synthesis. Team Management & Delegation: Efficiently delegate tasks and monitor team members for effective planning, execution, and delivery. Safety Compliance: Discuss and review MSDS (Material Safety Data Sheet) with the team to identify and mitigate potential safety risks with supervisor assistance. Analytical Monitoring: Monitor reactions and use analytical techniques to observe progress. Identify appropriate workup and purification methods to ensure desired compound quality. Reporting & Documentation: Analyze and interpret analytical data, and report synthesis results accurately. Prepare weekly, monthly, and final reports as required by the client. Project Management Support: Support project managers by helping finalize project estimations, identifying relevant literature, and proposing appropriate synthetic routes/reaction designs. Safety & Equipment Maintenance: Enforce good laboratory practices and ensure the maintenance of equipment, adhering to safety and quality systems. Team Development: Guide and mentor junior team members in organic chemistry techniques, analytical methods, and project execution. Regularly review performance and train team members. Functional/Technical Skills: Chemistry Knowledge: Expertise in organic chemistry (particularly synthesis) and analytical techniques. Safety Protocols: Strong understanding of safety standards in the laboratory environment. Data Integrity & Confidentiality: Knowledge of IP protection, data integrity, and confidentiality policies. Cost-Benefit Analysis: Ability to conduct cost-benefit analyses for resource optimization. Required Qualifications: Educational Requirements: MSc in Organic/Medicinal Chemistry with 1 5 years of relevant experience OR Ph.D. or Postdoctoral Fellowship in Organic/Medicinal Chemistry with 1 3 years of relevant experience. Additional Preferences: Candidates with research publications in leading journals will be given preference.

Job Overview Qualcomm is a leading technology innovator, driving digital transformation to enable smarter, connected experiences for all. As a Software Engineer within the LLVM Tools Group, you will work on the LLVM toolchain for various architectures like ARM, Hexagon, and RISCV. This toolchain includes a range of tools such as compilers, linkers, debuggers, and profilers. As part of the QA and Support team, your primary role will be to ensure that software products are reliable, functional, and meet the required quality standards. You will collaborate with development teams and customers to address issues and improve software throughout the development lifecycle. Key Responsibilities Test Planning: Develop comprehensive test plans and test cases based on software requirements and specifications. Test Execution: Perform manual and automated testing to identify defects and ensure software functionality. Bug Reporting: Analyze test failures/regressions and report bugs to the development team, ensuring timely tracking and resolution. Collaboration: Work closely with developers and customers to understand software design, provide feedback on improvements, and actively participate in process improvement efforts. Documentation: Maintain detailed documentation of test procedures, results, and issues encountered during the testing process. Quality Assurance: Ensure the final product meets Qualcomm s quality standards and customer expectations. Minimum Qualifications Education: Bachelor s or Master s degree in Engineering, Information Systems, Computer Science, or a related field. Experience: 2-5 years of experience in software quality assurance or software customer support. Programming Skills: Experience with programming languages such as C, C++, Python, etc. Preferred Qualifications Embedded Systems/Kernel Testing: Experience with software development and testing on embedded systems, Linux kernel, or firmware. Testing Toolchain: Hands-on experience testing compilers and embedded software development toolchains. Automation: Experience in software refactoring, test automation, and machine learning. Tools: Proficiency in tools like Perl, Python, shell scripting, make, cmake, and git. Command-Line: Experience working on both Windows and Linux environments. Development Tools: Knowledge of compilers, assemblers, linkers, and simulators used in software development. Test Automation: Experience in architecting and developing test automation tools (web, embedded systems). Problem Solving: Expert-level analysis, diagnosis, and troubleshooting abilities. Communication: Strong presentation and communication skills to effectively share insights with cross-functional teams. Qualification : Bachelors or Masters degree in Engineering, Information Systems, Computer Science, or a related field.