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Techvantage.ai is a next-generation technology and product engineering company at the forefront of innovation in Generative AI, Agentic AI, and autonomous intelligent systems. We build intelligent, cutting-edge solutions designed to scale and evolve with the future of artificial intelligence. We are looking for a Senior Software Engineer – AI with 3+ years of hands-on experience in Artificial Intelligence/ML and a passion for innovation. This role is ideal for someone who thrives in a startup environment—fast-paced, product-driven, and full of opportunities to make a real impact. You will contribute to building intelligent, scalable, and production-grade AI systems, with a strong focus on Generative AI and Agentic AI technologies. Roles and Responsibilities  Build and deploy AI-driven applications and services, focusing on Generative AI and Large Language Models (LLMs).  Design and implement Agentic AI systems—autonomous agents capable of planning and executing multi-step tasks.  Collaborate with cross-functional teams including product, design, and engineering to integrate AI capabilities into products.  Write clean, scalable code and build robust APIs and services to support AI model deployment.  Own feature delivery end-to-end—from research and experimentation to deployment and monitoring.  Stay current with emerging AI frameworks, tools, and best practices and apply them in product development.  Contribute to a high-performing team culture and mentor junior team members as needed Skill Set:  3–6 years of overall software development experience, with 3+ years specifically in AI/ML engineering.  Strong proficiency in Python, with hands-on experience in PyTorch, TensorFlow, and Transformers (Hugging Face).  Proven experience working with LLMs (e.g., GPT, Claude, Mistral) and Generative AI models (text, image, or audio).  Practical knowledge of Agentic AI frameworks (e.g., LangChain, AutoGPT, Semantic Kernel).  Experience building and deploying ML models to production environments.  Familiarity with vector databases (Pinecone, Weaviate, FAISS) and prompt engineering concepts.  Comfortable working in a startup-like environment—self-motivated, adaptable, and willing to take ownership.  Solid understanding of API development, version control, and modern DevOps/MLOps practices.

Position: Co-Founder & Chief Marketing Officer (CMO) Location: Navi-Mumbai Engagement Type: Equity-based (with minor monthly payouts to cover essentials) Experience Required: 8–15 Years Education: MBA from Tier-1 Institution preferred Start Date: Immediate LinkCxO – The Exclusive Platform for Senior Leaders & CxOs What We Do LinkCxO is a premium, AI-powered platform built exclusively for senior and C-suite professionals. We aggregate high-quality business insights , industry-centric content , CxO/Senior level job opportunities , and curated executive events —all in one trusted space. Why LinkCxO? 🌐 25,000+ Verified Senior Members 🧠 AI-Aggregated Industry Insights from thousands of business sources 📅 CxO Centric Industry Events (conferences, webinars, meet-ups) in one place 💼 10,000+ Live CxO/Senior Level Jobs across industries 🤝 A trusted network for collaboration, knowledge-sharing, and growth The Problem CxOs are flooded with scattered content, irrelevant events, and fragmented job listings—not designed for their needs. Our Solution LinkCxO simplifies and personalises the executive journey— one platform, endless executive value . What We’re Looking For We are seeking a Co-Founder & CMO —someone who has "been there, done that" in startups and is now ready to build something impactful from the ground up . You will lead everything marketing—from GTM strategy to branding, positioning, and customer lifecycle management. We're not hiring an employee—we’re looking for a partner to scale this business with us. Key Responsibilities 🚀 Go-To-Market Strategy: Build and execute a clear, scalable GTM roadmap aligned with growth goals 🧠 Branding & Positioning: Define and sharpen the LinkCxO brand across digital and offline channels 🎯 Customer Acquisition: Own the top-of-funnel; drive performance marketing, partnerships, and influencer strategies ❤️ Engagement & Retention: Lead lifecycle marketing, community-building, and CX strategies 🧩 Product-Market Fit: Work closely with the founder & product team to shape offerings that deliver real value 📈 Analytics & Growth: Track KPIs, optimize channels, and double down on what works Who You Are ✅ 8–15 years in Branding, Marketing, Growth or Strategy roles ✅ Prior experience in a startup environment where you drove or led GTM success ✅ Strong grasp of B2B or niche community-based marketing ✅ MBA from a Tier-1 B-school (IIMs, ISB, XLRI, etc.) preferred ✅ You’ve “graduated” from the corporate grind and want to build your own legacy ✅ Willing to invest full-time energy into a co-founder role ✅ Understands and thrives in resource-constrained, high-ownership environments What We Offer 📈 Co-Founder Equity : Equity stake in a high-growth potential startup 💡 Autonomy : You drive your vision—this is your ship to co-steer 🌍 Impact : Help shape the future of executive networking and leadership platforms 🧾 Minor payouts : To cover bills, but this is primarily a sweat+equity role ❤️ A chance to build something meaningful with a passionate team Leadership Team & Advisors 👔 Rajesh Padmanabhan – Chief Mentor Former CHRO at Capgemini, Vedanta, and Welspun. A highly decorated senior executive, board advisor, and transformation leader. UN Award recipient for D&I practices. 💡 Gyanesh Kumar – Founder & CEO 20+ years of global tech and consulting experience. Founder of ExoTalent & LeadersEdge. ISB (PGPMAX) and IIM Ahmedabad alumnus. Former CBO at Shine.com. 🧠 Hema Gupta – Co-founder – CxO Hiring & Engagement 16+ years in executive search and industrial recruitment. Co-led growth at LeadersEdge and ExoTalent. Specialist in automotive and manufacturing sector hiring. 📊 Sumit Jha – Advisor – Chief Analytics Officer IIT Kharagpur & IIM Shillong. 18+ years in AI/ML across India, the US, and Europe. Expert in high-frequency analytics, chatbots, and enterprise data science systems. 🎯 Amitabh Kumar – Strategic Advisor & Executive Coach 20+ years in executive coaching, multilingual hiring, and startup mentorship. ICF-certified coach with 800+ hours of practice. Featured in NDTV, CNBC Awaaz, TOI. 👥 You – CMO | Marketing Head The strategic Branding & Marketing leader who completes this high-caliber team—Brand positioning, User acquisition, User retention, User Engagement and a long-term founder mindset. Ready to Co-Create the Future of Leadership? 📩 Reach out directly to Gyanesh Kumar (Founder & CEO) 📧 kgyanesh@linkcxo.com 🌐 www.linkcxo.com

We are looking for a highly skilled and proactive Team Lead – DevOps to join our Infrastructure Management Team. In this role, you will lead initiatives to streamline and automate infrastructure provisioning, CI/CD, observability, and compliance processes using GitLab, containerized environments, and modern DevSecOps tooling. You will work closely with application, data, and ML engineering teams to support MLOps workflows (e.g., model versioning, reproducibility, pipeline orchestration) and implement AIOps practices for intelligent monitoring, anomaly detection, and automated root cause analysis. Your goal will be to deliver secure, scalable, and observable infrastructure across environments. Key Responsibilities: Architect and maintain GitLab CI/CD pipelines to support deployment automation, environment provisioning, and rollback readiness. Implement standardized, reusable CI/CD templates for application, ML, and data services. Collaborate with system engineers to ensure secure, consistent infrastructure-as-code deployments using Terraform, Ansible, and Docker. Integrate security tools such as Vault, Trivy, tfsec, and InSpec into CI/CD pipelines. Govern infrastructure compliance by enforcing policies around secret management, image scanning, and drift detection. Lead internal infrastructure and security audits and maintain compliance records where required. Define and implement observability standards using OpenTelemetry, Grafana, and Graylog. Collaborate with developers to integrate structured logging, tracing, and health checks into services. Enable root cause detection workflows and performance monitoring for infrastructure and deployments. Work closely with application, data, and ML teams to support provisioning, deployment, and infra readiness. Ensure reproducibility and auditability in data/ML pipelines via tools like DVC and MLflow. Participate in release planning, deployment checks, and incident analysis from an infrastructure perspective. Mentor junior DevOps engineers and foster a culture of automation, accountability, and continuous improvement. Lead daily standups, retrospectives, and backlog grooming sessions for infrastructure-related deliverables. Drive internal documentation, runbooks, and reusable DevOps assets. Must Have: Strong experience with GitLab CI/CD, Docker, and SonarQube for pipeline automation and code quality enforcement Proficiency in scripting languages such as Bash, Python, or Shell for automation and orchestration tasks Solid understanding of Linux and Windows systems, including command-line tools, process management, and system troubleshooting Familiarity with SQL for validating database changes, debugging issues, and running schema checks Experience managing Docker-based environments, including container orchestration using Docker Compose, container lifecycle management, and secure image handling Hands-on experience supporting MLOps pipelines, including model versioning, experiment tracking (e.g., DVC, MLflow), orchestration (e.g., Airflow), and reproducible deployments for ML workloads. Hands-on knowledge of test frameworks such as PyTest, Robot Framework, REST-assured, and Selenium Experience with infrastructure testing tools like tfsec, InSpec, or custom Terraform test setups Strong exposure to API testing, load/performance testing, and reliability validation Familiarity with AIOps concepts, including structured logging, anomaly detection, and root cause analysis using observability platforms (e.g., OpenTelemetry, Prometheus, Graylog) Exposure to monitoring/logging tools like Grafana, Graylog, OpenTelemetry. Experience managing containerized environments for testing and deployment, aligned with security-first DevOps practices Ability to define CI/CD governance policies, pipeline quality checks, and operational readiness gates Excellent communication skills and proven ability to lead DevOps initiatives and interface with cross-functional stakeholders

🚀 Hiring Product Manager- Are you an experienced Product Manager with hands-on expertise in developing fintech solutions like bank statement analyzers, credit analysis tools, and GST compliance products? If you have a track record of building and launching similar products, and you're passionate about using AI and ML to create smarter, more efficient financial analysis tools, we’d love to hear from you! About the Role As our Product Manager, you’ll lead the development of products that empower digital lenders, banks, and financial institutions by providing in-depth insights into borrower financials, creditworthiness, and compliance. Your work will focus on: Bank Statement Analysis : Build and optimize tools that analyze transaction patterns, income consistency, and cash flow to support credit assessment. Credit Analysis : Deliver solutions for comprehensive credit evaluation, enabling end-to-end analysis of cash flow, fraud detection, and financial reliability for complex data profiles. GST Compliance & GSTR Analysis : Develop tools that capture GST data, identify sales and purchase trends, and deliver actionable insights into filing compliance and vendor relations. Key Responsibilities : Drive product development from concept to launch in the fintech analytics space. Apply AI/ML to enhance risk profiling, fraud detection, and reporting. Build solutions to simplify decision-making for high-volume financial data. Qualifications : Proven experience managing similar fintech products from the ground up. Deep knowledge of bank statement analysis, credit assessment, and GST analytics. Strong understanding of AI/ML in fintech applications.

Job Title: AI Solutions Developer / Business Process Analyst Department: Technology / Innovation Position Summary We are seeking a highly skilled AI Solutions Developer with strong business process analysis capabilities to join our team. This role is ideal for someone who can bridge the gap between business operations and emerging AI technologies. The ideal candidate will have a keen understanding of business workflows and will be responsible for identifying, designing, and implementing AI-driven improvements across various departments. Key Responsibilities Analyze existing business processes and workflows across departments to identify inefficiencies and opportunities for AI-driven improvement. Collaborate with stakeholders to understand pain points, define project goals, and gather functional requirements. Research and evaluate modern AI technologies (e.g., machine learning, natural language processing, automation tools) and assess their applicability to business challenges. Design AI-enhanced solutions and prototypes that align with business objectives. Lead the development and implementation of selected solutions, either hands-on or by directing a small team of developers. Oversee end-to-end project execution, including deployment, testing, integration, and post-deployment support. Stay current with AI trends, tools, and best practices and proactively bring new ideas to the table. Required Qualifications Proven experience in software development, with exposure to AI/ML technologies. Strong background in business process analysis and solution design. Proficiency in one or more programming languages such as Python, JavaScript (Node.js), or similar. Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face, Brain.js, OpenAI APIs). Experience implementing automation tools (e.g., RPA, chatbots, document processing). Strong project management and leadership skills, with experience guiding small teams. Excellent communication skills and the ability to translate complex technical concepts to non-technical stakeholders. Preferred Qualifications Knowledge of data engineering or working with unstructured data. Prior experience deploying production-level AI solutions within a business setting. Exposure to tools like Power Automate, Zapier, or other low-code automation platforms.

We are seeking passionate and dedicated individuals to join our Department of Computer Science & Engineering as Assistant Professors . The ideal candidate will contribute to teaching, research, curriculum development, and academic innovation in line with emerging trends in computer science and engineering. Key Responsibilities: Deliver high-quality undergraduate and/or postgraduate instruction in core CSE subjects (e.g., Data Structures, Algorithms, DBMS, Operating Systems, AI, ML, IoT, etc.). Guide students in their projects, internships, and research assignments. Contribute to curriculum development, academic planning, and outcome-based education. Participate in departmental and institutional activities such as accreditation (NBA/NAAC), seminars, workshops, and faculty development programs. Engage in scholarly research and strive for publication in peer-reviewed journals and conferences. Foster industry linkages and collaborative research opportunities. Serve as an academic mentor and support student success and well-being. Contribute to administrative duties as assigned by the department. Qualification & Experience: Educational Qualification: Master’s degree (M.E./M.Tech.) in Computer Science / Information Technology / relevant branch with First Class. Ph.D. (preferred or as per UGC/AICTE norms). Experience: As per AICTE / UGC norms. Freshers with exceptional academic backgrounds may also apply. 💡 Desired Skills: Strong knowledge in programming languages such as Python, Java, C++, etc. Familiarity with modern pedagogical tools and e-learning platforms. Passion for teaching and mentoring students. Excellent communication and interpersonal skills. Research-oriented mindset with capability to attract grants and projects. Inviting applications at umang.hr@cgc.ac.in or can contact at 8360367050

Join our Team About this opportunity: We are looking for a Senior Machine Learning Engineer with 10+ years of experience to design, build, and deploy scalable machine learning systems in production. This is not a data science role — we are seeking an engineering-focused individual who can partner with data scientists to productionize models, own ML pipelines end-to-end, and drive reliability, automation, and performance of our ML infrastructure. You’ll work on mission-critical systems where robustness, monitoring, and maintainability are key. You should be experienced with modern MLOps tools, cloud platforms, containerization, and model serving at scale. What you will do: Design and build robust ML pipelines and services for training, validation, and model deployment. Work closely with data scientists, solution architects, DevOps engineers, etc. to align the components and pipelines with project goals and requirements. Communicate deviation from target architecture (if any). Cloud Integration: Ensuring compatibility with cloud services of AWS, and Azure for enhanced performance and scalability Build reusable infrastructure components using best practices in DevOps and MLOps. Security and Compliance: Adhering to security standards and regulatory compliance, particularly in handling confidential and sensitive data. Network Security: Design optimal network plan for given Cloud Infrastructure under the E// network security guidelines Monitor model performance in production and implement drift detection and retraining pipelines. Optimize models for performance, scalability, and cost (e.g., batching, quantization, hardware acceleration). Documentation and Knowledge Sharing: Creating detailed documentation and guidelines for the use and modification of the developed components. The skills you bring: Strong programming skills in Python Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). Hands-on with MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience deploying models using Docker and Kubernetes. Strong knowledge of cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI). Proficiency with data engineering tools (Spark, Kafka, SQL/NoSQL). Solid understanding of CI/CD, version control (Git), and infrastructure as code (Terraform, Helm). Experience with monitoring/logging (Prometheus, Grafana, ELK). Good-to-Have Skills Experience with feature stores (Feast, Tecton) and experiment tracking platforms. Knowledge of edge/embedded ML, model quantization, and optimization. Familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases. Experience leading cross-functional initiatives or mentoring junior engineers. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 770160

Join our Team About this opportunity: We are looking for a Senior Machine Learning Engineer with 10+ years of experience to design, build, and deploy scalable machine learning systems in production. This is not a data science role — we are seeking an engineering-focused individual who can partner with data scientists to productionize models, own ML pipelines end-to-end, and drive reliability, automation, and performance of our ML infrastructure. You’ll work on mission-critical systems where robustness, monitoring, and maintainability are key. You should be experienced with modern MLOps tools, cloud platforms, containerization, and model serving at scale. What you will do: Design and build robust ML pipelines and services for training, validation, and model deployment. Work closely with data scientists, solution architects, DevOps engineers, etc. to align the components and pipelines with project goals and requirements. Communicate deviation from target architecture (if any). Cloud Integration: Ensuring compatibility with cloud services of AWS, and Azure for enhanced performance and scalability Build reusable infrastructure components using best practices in DevOps and MLOps. Security and Compliance: Adhering to security standards and regulatory compliance, particularly in handling confidential and sensitive data. Network Security: Design optimal network plan for given Cloud Infrastructure under the E// network security guidelines Monitor model performance in production and implement drift detection and retraining pipelines. Optimize models for performance, scalability, and cost (e.g., batching, quantization, hardware acceleration). Documentation and Knowledge Sharing: Creating detailed documentation and guidelines for the use and modification of the developed components. The skills you bring: Strong programming skills in Python Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). Hands-on with MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience deploying models using Docker and Kubernetes. Strong knowledge of cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI). Proficiency with data engineering tools (Spark, Kafka, SQL/NoSQL). Solid understanding of CI/CD, version control (Git), and infrastructure as code (Terraform, Helm). Experience with monitoring/logging (Prometheus, Grafana, ELK). Good-to-Have Skills Experience with feature stores (Feast, Tecton) and experiment tracking platforms. Knowledge of edge/embedded ML, model quantization, and optimization. Familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases. Experience leading cross-functional initiatives or mentoring junior engineers. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 770160

Required Skills & Experience: • 4 to 6 years of experience in DevOps with a strong focus on Azure Databricks. • Hands-on experience with Azure networking, VNET integration, and firewall rules. • Strong knowledge of Databricks cluster management, job scheduling, and optimization. • Expertise in CI/CD pipeline development for Databricks and ML models using Azure DevOps, Terraform, or GitHub Actions. • Experience with Databricks Asset Bundles (DAB) for packaging and deployment. • Proficiency in RBAC, Unity Catalog, and workspace access control. • Experience with Infrastructure as Code (IaC) tools like Terraform, ARM Templates, or Bicep. • Strong scripting skills in Python, Bash, or PowerShell. • Familiarity with monitoring tools (Azure Monitor, Prometheus, or Datadog).

Battery Data Scientist (Data meets degradation, and intelligence meets impact) Location : Bangalore (On-site) Experience : 2 to 5 years Education : Masters/PhD Degree in Data Science/Engineering Industry : EV / Batteries / Hardware Startups Reports To : Founder & Head of Product Type : Full-time About Fawkes Energy Fawkes Energy is building intelligent, software-driven platforms to bring safety, transparency, and performance optimization to the EV and battery ecosystem. We are a mission-driven team working toward a sustainable circular economy in mobility and energy storage. Role Overview At Fawkes Energy, we’re building the future of battery intelligence, repurposing, and lifecycle intelligence. Our tools are a window into the battery pack, and decode what really matters - performance, health, lifetime, and safety. Now, we’re looking for a Battery Data Scientist who loves wrestling with messy field data, modeling the intricacies of battery degradation, and building intelligence that actually makes a difference. What You'll Work On Own projects that involve modeling battery degradation, SoH and lifetime prediction using both traditional and ML-based approaches Develop, validate, and deploy battery degradation models using machine learning, deep learning, and physics-informed methods Work with both internal and external teams to design robust data ingestion and preprocessing pipelines for heterogeneous datasets, from structured lab test data to noisy field-collected logs Work with real-world battery pack field data and cell testing data from our labs Design and build data pipelines, experiment with ML/DL techniques, and validate models across chemistries and use-cases Collaborate with test engineers to drive new experiments and extract meaningful features from cycling, calendar, and abuse tests Guide junior data scientists as the team grows and evolve into a product leadership role Who You Are A PhD in data science, applied ML, electrochemistry, mechanical/electrical engineering or similar (fresh grads welcome!) OR a Master’s degree with 2–5 years of strong hands-on experience in battery or energy analytics Comfortable navigating both structured test datasets and unstructured real-world messiness Solid Python skills; comfort with tools like TensorFlow, PyTorch, Polars. Experience with PINNs is an advantage Experienced in building end-to-end ML workflows from data wrangling and feature engineering to training, validation, and deployment Curious about how batteries age, fail, and behave across chemistries, duty cycles, and environments Bonus: Prior exposure to battery modeling, cell cycling, EVs, BMS data, or time-series data diagnostics What It's Like in Fawkes Energy Fast-paced, impact-driven work environment where you’ll see your work deployed in real-world EV and battery contexts Small, multi-functional team working at the bleeding edge of clean-tech - hardware, software, and AI under one roof You’ll work alongside data analysts, embedded engineers, test engineers, product teams and the founders (who also code and create physics-based models!) You won’t just build dashboards, you’ll shape the core IP that powers diagnostics and decision-making in the battery world Why Join Us Work on a cutting-edge hardware product at the intersection of EV, battery analytics, and climate action Opportunity to lead development and define a new category in the circular economy for EVs Fast-track to a technical leadership role in a high-impact, mission-driven startup Collaborative and technical team environment with real ownership What You Will Get Competitive compensation + ESOPs, health insurance, conference budgets, access to EVs, batteries, and testbeds for experimentation Flexible hours - we are result-first and not hours-clocked A chance to work with batteries that don’t sit in simulations, but in vehicles, fleets, and energy systems The opportunity to build core IP at the intersection of hardware, AI, and battery science If this sounds like your kind of gig, email us at talent@fawkes.energy .

Job Description Change the world. Love your job. Texas Instruments (TI) Radar Software Team is looking for an experienced Lead software engineer to join our team. At TI Radar Software Team, our Software Developers design, develop, modify, debug and evaluate embedded programs for variety of Radar SOC devices. You may analyzes existing programs or develop logic for new generation SOC devices; coding and testing/debugging programs. You may develop conversion and system implementation plans and prepare system and programming documentation as per software development process. This role will integrate requirements from multiple business applications into the software SDK architecture, delivering accurate, scalable, user-friendly SW solutions. Role also provides opportunities that gain high visibility into all layers of the radar organization, including Business managers, Application team, Systems architecture, design team and ROM Firmware development teams. Opportunity to work with a strong technical team to learn and develop innovative solutions in support of a rapidly changing business environment. In This Role You Will Participate in architecture, designing, coding, and testing of complex drivers and algorithms associated with Radar SW SDK Participate in debugging and enhancing existing software solutions Demonstrate an in-depth understanding of embedded systems, coding and application use cases Collaborate with business to develop requirements and create level of effort estimates Develop solutions following software development process and best practice methodologies Mentor junior team members and lead/drive assigned projects with higher responsibilities. Develop automations and use AI/ML tools to enhance the execution efficiency Partner with businesses, R&D and program management to develop entitlement around solutions (training, work sessions, Planning) Analysis and resolution of customer and internal issues being encountered by the team and global end user community. About the organization: In Radar BU, we develop mm-wave (60GHz and 77Hz) chips for automotive and industrial applications. Our mm-wave radar chips are critical in realization of a broad spectrum of high-tech use-cases, such as, environment sensing for autonomous and assisted driving of vehicles (ADAS functionalities), in-cabin sensing for seat-belt alerts and child-left-behind alerts, people sensing for indoor lighting and temperature control, human gesture sensing in intelligent gadgets, and sensing for robotics in factories, smart-homes and buildings. Our complex radar transceivers and systems-on-chip are an outcome of cutting-edge R&D across multiple disciplines (winner and 3-time finalist at Jack Kilby Award of Innovation ), meticulous collaboration of our brightest and diligent analog, digital, systems, test, validation, packaging, and software technologists, as well as sophisticated measurement labs and sustained backing from TI leadership. These multi-core chips include high-end mm-wave amplifiers, PLLs, data convertors, signal processing and cryptography accelerators, processors, memories, AI/ML algorithms, built-in-self-tests, functional safety hardware and software, and power management, and have extremely challenging power, cost and performance specifications. Radar BU is an emerging one and one of the fastest growing businesses in Embedded Processors. We are looking forward to you joining us in accelerating this growth! Qualifications Minimum Requirements: Bachelor's degree in an Information Technology related field 3 to 5 years' of experience Preferred Qualifications Highly competent with C, assembly language, python, compilers and linkers Deep understanding of embedded real time systems software/firmware programming, ARM cores, DSP cores, Hardware accelerators and engineering principles Proficiency in debugging critical embedded software systems issues with JTAG, trace and logic analyzer tools Experience in SDK/Application drivers, peripherals, algorithms development for popular SOCs / embedded systems Exposure to SW development life cycles, unit, integration and qualification of the SW. Exposure to AI/ML and associated tools Ability to take the initiative and drive for results Ability to work in teams and collaborate effectively with people in different functions Ability to work effectively in an interrupt-driven, fast-paced and rapidly changing environment Demonstrated strong customer service orientation and ability to take ownership for issue resolution Having knowledge on MCAL and AUTOSAR is plus point. About Us Why TI? Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics. We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us. About Texas Instruments Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com . Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment. If you are interested in this position, please apply to this requisition. About The Team TI does not make recruiting or hiring decisions based on citizenship, immigration status or national origin. However, if TI determines that information access or export control restrictions based upon applicable laws and regulations would prohibit you from working in this position without first obtaining an export license, TI expressly reserves the right not to seek such a license for you and either offer you a different position that does not require an export license or decline to move forward with your employment.

Job Title: Agent AI Specialist / Senior AI Engineer Location: Delhi NCR Experience: 1–2 years Department: AI/ML Research & Development Job Type: Full-time Job Summary: We are seeking a highly skilled and motivated AI Specialist with hands-on experience in Agent AI frameworks and multi-agent communication protocols. The ideal candidate will be passionate about pushing the boundaries of AI with deep learning, autonomous agents, and cutting-edge tools like LangChain, LangGraph, and llama-index. If you have a strong foundation in image processing, and experience with cloud AI platforms like Azure ML Foundry or Google Vertex AI, we’d love to hear from you. Key Responsibilities: Design, build, and deploy AI agents using frameworks like Autogen , LangChain , LangGraph , and llama-index Develop and implement Agent-to-Agent (A2A) communication protocols for autonomous coordination Integrate multi-agent cognitive protocols (MCP) for enhanced agent collaboration Apply advanced deep learning techniques to real-world AI and computer vision problems Work on image processing tasks using AI/ML models for detection, enhancement, and transformation Collaborate with cross-functional teams to deliver scalable AI solutions on cloud platforms such as Azure Foundry or Google Vertex AI Conduct POCs and build demos showcasing agent-based AI applications Stay current with research trends and innovations in the field of generative AI, agent systems, and multimodal learning Key Requirements: Proven experience with Agent AI frameworks like Autogen or similar Strong understanding of MCP / A2A protocols and agent coordination techniques Proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow) Experience in image processing using AI (OpenCV, Pillow, deep learning models, etc.) Hands-on experience with LangChain , LangGraph , llama-index , or equivalent modular AI frameworks Familiarity with cloud-based ML tools – especially Azure Foundry , Google Vertex AI , or AWS SageMaker Strong analytical and problem-solving skills Good communication and documentation abilities. Qualifications: BE/B.Tech/MCA/MSc

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you’ve come to the right place. We’re building a product data platform to bring Salesforce’s product signals into the agentic era — powering smarter, adaptive, and self-optimizing product experiences. As a Senior Manager , you’ll lead a team of talented engineers in designing and building trusted, scalable systems that capture, process, and surface rich product signals for use across analytics, AI/ML, and customer-facing features. You’ll guide architectural decisions, drive cross-functional alignment, and shape strategy around semantic layers, knowledge graphs, and metrics frameworks that help teams publish and consume meaningful insights with ease. We’re looking for a strategic, systems-minded leader who thrives in ambiguity, excels at cross-org collaboration, and has a strong technical foundation to drive business and product impact. What You’ll Do Lead and grow a high-performing engineering team focused on batch and streaming data pipelines using technologies like Spark, Trino, Flink, and DBT Define and drive the vision for intuitive, scalable metrics frameworks and a robust semantic signal layer Partner closely with product, analytics, and engineering stakeholders to align schemas, models, and data usage patterns across the org Set engineering direction and best practices for building reliable, observable, and testable data systems Mentor and guide engineers in both technical execution and career development Contribute to long-term strategy around data governance, AI-readiness, and intelligent system design Serve as a thought leader and connector across domains to ensure data products deliver clear, trusted value What We’re Looking For 10+ years of experience in data engineering or backend systems, with at least 2+ years in technical leadership or management roles Strong hands-on technical background, with deep experience in big data frameworks (e.g., Spark, Trino/Presto, DBT) Familiarity with streaming technologies such as Flink or Kafka Solid understanding of semantic layers, data modeling, and metrics systems Proven success leading teams that build data products or platforms at scale Experience with cloud infrastructure (especially AWS — S3, EMR, ECS, IAM) Exposure to modern metadata platforms, Snowflake, or knowledge graphs is a plus Excellent communication and stakeholder management skills A strategic, pragmatic thinker who is comfortable making high-impact decisions amid complexity Why Join Us This is your opportunity to shape how Salesforce understands and uses its product data. You’ll be at the forefront of transforming raw product signals into intelligent, actionable insights — powering everything from internal decision-making to next-generation AI agents. If you're excited by the challenge of leading high-impact teams and building trusted systems at scale, we'd love to talk to you. Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Job Summary: We are seeking a highly experienced and creative UI Developer with over 8 years of experience in front-end development and a strong understanding of AI technologies. The ideal candidate will be responsible for crafting seamless, intuitive, and scalable user interfaces for complex AI-driven applications. You will work closely with UX designers, AI/ML engineers, product managers, and back-end developers to bring dynamic, intelligent interfaces to life. Key Responsibilities: Design and develop responsive, cross-browser compatible user interfaces for web and mobile applications. Collaborate with AI/ML teams to visualize and integrate intelligent features into the UI. Translate product requirements into interactive and performance-optimized front-end experiences. Build reusable components and front-end libraries for future use. Optimize UI performance, scalability, and maintainability. Work with RESTful APIs, WebSockets, and real-time data visualization tools. Ensure technical feasibility of UI/UX designs and conduct code reviews. Stay updated with the latest front-end development and AI integration trends. Required Skills & Qualifications: Bachelor's or Master’s degree in Computer Science, Engineering, or related field. 8+ years of experience in UI development with advanced proficiency in HTML5, CSS3, JavaScript, TypeScript . Strong experience with React.js , Angular , or Vue.js . Deep understanding of AI concepts , machine learning models , NLP , or computer vision from an integration perspective. Exposure integrating AI/ML APIs, models, or libraries (e.g., TensorFlow.js, OpenAI, Azure Cognitive Services). Hands-on experience with front-end build tools and CI/CD workflows (Webpack, Babel, Git, Jenkins). Strong knowledge of RESTful APIs and working knowledge of GraphQL. Ability to understand complex business requirements and translate them into clean UI/UX designs. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with data visualization libraries (e.g., D3.js, Chart.js). Familiarity with UX principles and user-centered design methodologies. Experience working in Agile/Scrum environments. Knowledge of accessibility and web performance optimization techniques.

Job Title: Program Manager Job Location: Hyderabad, India Worksite: Onsite (100%) About WCT: Wafer Wire Technology Solutions (WCT) specializes in delivering comprehensive Cloud, Data and AI solutions through Microsoft's technology stack. Our services include Strategic Consulting, Data/AI Estate Modernization, and Cloud Adoption Strategy. We excel in Solution Design encompassing Application, Data, and AI Modernization, as well as Infrastructure Planning and Migrations. Our Operational Readiness services ensure seamless DevOps, ML Ops, AI Ops, and Sec Ops implementation. We focus on Implementation and Deployment of modern applications, continuous Performance Optimization, and future-ready innovations in AI, ML, and security enhancements. Delivering from Redmond-WA, USA, Guadalajara, Mexico and Hyderabad, India, our scalable solutions cater precisely to diverse business requirements and multiple time zones (US time zone alignment). Responsibilities: Regional Owner for the Consumption Led Skilling, GTM Strategy, Stakeholder Engagement and secure commitment Own all the ops activities for the consumption led skilling Manage intake, triage, and execution of CLS requests from field teams and partners. Coordinate across GPS Skilling Leads, Solution Area experts, and Delivery teams to ensure timely deployment of skilling engagements Creation of presentation deck for Program execution and Status for the implementation of the skilling needs for the various engagement Maintain and optimize workflows using tools like the GPS Skilling OneApp and ServiceTree. Track and report on key metrics such as ACR influenced, project unblock rates, and learner impact Serve as the primary point of contact for field teams, partner delivery managers, and internal stakeholders. Facilitate alignment between proactive and reactive skilling motions, ensuring seamless handoffs and consistent communication Ensure all skilling engagements comply with Microsoft’s SDL and TrIP security standards. Manage service tagging, entitlement lifecycle, and identity compliance in coordination with security and compliance teams Analyze feedback and operational data to refine skilling delivery models. Contribute to the evolution of CLS 2.0 by identifying gaps, proposing enhancements, and supporting tool integration efforts Required Qualifications: Total 8-14 yrs of IT experience 3–5 years of experience in project or program management, preferably in a tech or skilling environment. Familiarity with Microsoft’s partner ecosystem, ACR metrics, and MCEM framework Proficiency in Power BI, ServiceTree, and Azure Entitlement Management. Strong communication, stakeholder management, and cross-functional coordination skills. Strong in creating presentation decks Proactive in driving engagement Equal Employment Opportunity Declaration: WCT 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, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

About Vassar Labs ( https://vassarlabs.com ) Vassar Labs IT Solutions Pvt. Ltd. is a forward-thinking technology company dedicated to transforming the primary sectors — Water, Agriculture, Smart Cities, and Education — through building digital product and platforms in this space using emerging and deep technologies such as IoT, GIS, AI/ML, Big Data, Satellite, genAI and Cloud etc. About the Role We are looking for a proactive and detail-driven Vice President/Sr Manager – Project & IT Operations to anchor delivery operations, resource planning, process governance, and security compliance across multiple IT projects. This role is pivotal in ensuring delivery efficiency , project hygiene , resource visibility , and adherence to security and process standards . This position offers a strategic seat in the organization’s project execution engine and involves close collaboration with delivery leads, project managers, IT security teams, and executive stakeholders. Key Responsibilities Project Delivery & Operations Conduct continuous review and monitoring meetings for various delivery and operation functions of the company at weekly/regular level and publish inward report to the management. Support multiple project managers in end-to-end project planning, execution tracking, and milestone alignment. Drive operational discipline across the delivery lifecycle through dashboards, status reports, issue logs, and resource planning sheets. Maintain project hygiene documentation. Ensure to adhere to the project timelines in coordination with Project Team. Resource & Capacity Management Lead resource planning across tech teams, mapping project needs to skills, availability, and billing requirements. Track utilization, bench strength, and ensure optimal distribution of manpower across projects. Liaise with HR and department leads for recruitment, onboarding, and redeployment coordination. Ensure effective utilization of resources Process Governance & Quality Establish standard operating procedures (SOPs) for project operations, documentation, reporting, and delivery assurance. Lead periodic internal audits and delivery reviews to ensure process compliance with ISO, CMMI, or client-specific standards. Identify process gaps and lead initiatives for continuous improvement and automation. Information Security & Compliance Ensure all project environments and processes comply with internal IT security policies and client-mandated security protocols. Collaborate with InfoSec teams to enforce access control, data protection, and audit readiness. Monitor project adherence to NDAs, data classification guidelines, and system usage policies. Lead periodic security hygiene reviews and ensure secure handling of client data. Stakeholder & Cross-functional Collaboration Act as a bridge between Delivery, HR, Finance, Infrastructure, QA, and IT Security for seamless operational coordination. Act as a single point of contact for operational escalations and governance support. Metrics, Reporting & Tooling Maintain dashboards for project KPIs, resource utilization, delivery velocity, and ticket throughput. Standardize use of project management tools such as Jira, Confluence, ServiceNow, or internal CRMs. Run weekly/monthly governance meetings and present insights to delivery leadership. Required Experience & Skills 10+ years of experience in IT project coordination, delivery operations, PMO, or IT program support roles. Strong understanding of SDLC, Agile/DevOps models , and enterprise IT delivery. Demonstrated knowledge in security compliance standards (ISO 27001) and internal audit practices. Hands-on with tools like Jira, Smartsheet, MS Project, ServiceNow, Excel , and dashboard platforms. Strong documentation, stakeholder management, and escalation handling capabilities. Able to lead operational maturity initiatives across project teams with minimal supervision. Educational Qualifications Bachelor’s degree in Engineering. KPI’s Monitoring, Review and Reporting Project Delivery & Operations Resource & Capacity Management Implement Process & Ensure Quality

Job Title : Solution Architect – Application & AI Engineering Experience : 12+ years (Minimum 8 years of hands-on experience) Location : Mysuru, Karnataka Employment Type : Full-time About the Role We are seeking an experienced and forward-thinking Solution Architect with a strong background in application engineering and AI/ML systems. The ideal candidate should have deep technical expertise and hands-on experience in architecting scalable and secure solutions across web, API, database and cloud ecosystems (AWS or Azure). You will lead end-to-end architecture design efforts—transforming business requirements into robust, scalable, and secure digital products, while ensuring modern AI-driven capabilities are leveraged where applicable. Key Responsibilities Design and deliver scalable application architectures across microservices, APIs and backend databases. Collaborate with cross-functional teams to define solution blueprints combining application engineering and AI/ML requirements. Architect and lead implementation strategies for deploying applications on AWS or Azure using services such as ECS, AKS, Lambda, API Gateway, Azure App Services, Cosmos DB, etc. Guide engineering teams in application modernization, including monolith to microservices transitions, containerization and serverless. Define and enforce best practices around security, performance, and maintainability of solutions. Integrate AI/ML solutions (e.g., inference endpoints, custom LLMs, or ML Ops pipelines) within broader enterprise applications. Evaluate and recommend third-party tools, frameworks, or platforms for optimizing application performance and AI integration. Support pre-sales activities and client engagements with architectural diagrams, PoCs, and strategy sessions. Mentor engineering teams and participate in code/design reviews when necessary. Required Skills & Experience 12+ years of total experience in software/application engineering. 8+ years of hands-on experience in designing and developing distributed applications. Strong knowledge in backend technologies like Python, Node.js, or .NET; and API-first design (REST/GraphQL). Strong understanding of relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc.). Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (Terraform, CloudFormation, etc.). Proven experience in architecting and deploying cloud-native applications on AWS and/or Azure. Experience with integrating AI/ML models into production systems, including data pipelines, model inference, and MLOps. Deep understanding of security, authentication (OAuth, JWT), and compliance in cloud-based applications. Familiarity with LLMs, NLP, or generative AI is a strong advantage. Preferred Qualifications Cloud certifications (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert). Exposure to AI/ML platforms like Azure AI Studio, Amazon Bedrock, SageMaker, or Hugging Face. Understanding of multi-tenant architecture and SaaS platforms. Experience working in Agile/DevOps teams and with tools like Jira, Confluence, GitHub/GitLab, etc. Why Join Us? Work on innovative and enterprise-scale AI-powered applications. Influence product and architecture decisions with a long-term strategic lens. Collaborate with forward-thinking and cross-disciplinary teams. Opportunity to lead from the front and shape the engineering roadmap.

About Geta.ai We’re a Series A funded startup committed to Growth Enabling Transformation Assistance through AI, ML, and data-centric digital solutions. At Geta.ai Labs, we design intelligent products in Conversational AI, broadcasting automation, eCommerce automation, and virtual assistance. Join our fast-growing team of tech experts, data scientists, and strategists working on cutting-edge solutions that drive digital transformation across industries. Key Responsibilities: 🧱 Engineering Ownership Architect, design, and build scalable backend systems using Python (FastAPI / Django / Flask) Lead development of modern web frontends (React / Vue / Next.js). Own technical decisions around architecture, system design, and integration. 🚀 SaaS Platform Development Design and implement multi-tenant, secure, and modular SaaS architecture. Build out core features: user management, billing, role-based access control, notifications, audit logging, etc. Integrate with 3rd-party services (e.g., Stripe, Google APIs, CRMs, etc.) 👥 Team Leadership Lead a small team of developers; provide mentorship, code reviews, and technical direction. Work closely with product managers to break down and prioritize features. Ensure adherence to best practices: testing, version control, CI/CD, and documentation. ☁️ DevOps & Deployment Own the CI/CD lifecycle using tools like GitHub Actions, Docker, etc. Deploy and monitor applications on AWS/GCP/Azure. Implement observability with tools like Prometheus, Grafana, Sentry, or equivalent. Must-Have Skills: 5+ years of full-stack development experience with at least 2 years in a leadership role Expert in Python backend frameworks (FastAPI, Django, Flask) Expert in Node JS backend frameworks (Express) Strong experience with React.js , Vue.js , or other modern frontend libraries Deep understanding of SaaS principles : multi-tenancy, user roles, subscriptions, etc. Experience with PostgreSQL , Redis , RESTful APIs , WebSockets, etc. Cloud-native development on AWS / GCP / Azure and containerization (Docker) Nice-to-Have (Bonus): Experience with microservices or serverless architectures Familiarity with GraphQL , gRPC , or event-driven systems Exposure to infrastructure-as-code (Terraform) Note: Candidates with immediate joining dates of up to 30 days will be preferred.

CrewAI Engineer1 5–8 years of experience in AI/ML or automation engineering. Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. Proficiency in Python, including experience with async programming and API integration. Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. Experience building and deploying production-ready agent-based solutions. Strong problem-solving skills and ability to translate business requirements into technical implementations.

Location : Bangalore, Hyderabad, Noida, Gurugram, Pune, Mumbai, Chennai ( Hybrid ) AI Integration Deploy ML models using REST APIs (Preferably Node.js) Model portability across environments Integration of ML outputs into React UIs Backend Node.js/JavaScript Building APIs Database interaction – MongoDB, PostgreSQL Async programming – Promises, async/await Working with ML model inference pipelines via API endpoints Frontend (React + Redux) Strong React fundamentals – hooks, component design Component driven UI object design and implementation Consuming APIs – REST/GraphQL Error handling, loading states, and form management Visualizing AI/ML outputs (charts, metrics, dashboards)

Job Title: Gen AI Technical Lead/ Architect || Agentic AI || Immediate Joiners Only from Delhi NCR Experience: 8–14 Years Location: Noida/ Faridabad Work Mode: Full-time, Hybrid About the Role We are seeking an exceptional AI Architect with deep expertise in Agentic AI and Generative AI to lead the design, development, and deployment of next-generation autonomous AI systems. This role is pivotal in building LLM-powered agents , integrating memory, tool use, planning, and reasoning capabilities to create intelligent, goal-driven systems. As a technical leader, you will drive end-to-end AI initiatives—from cutting-edge research and architecture design to scalable deployment in cloud environments. Key Responsibilities Agentic AI Design & Implementation Architect and build LLM-based agents capable of autonomous task execution, memory management, tool usage, and multi-step reasoning. Develop modular, goal-oriented agentic systems using tools like LangChain , Auto-GPT , CrewAI , SuperAGI , and OpenAI Function Calling . Design multi-agent ecosystems with collaboration, negotiation, and task delegation capabilities. Integrate long-term and short-term memory (e.g., vector databases, episodic memory) into agents. Generative AI & Model Optimization Develop, fine-tune, and optimize foundation models (LLMs, diffusion models) using TensorFlow , PyTorch , or JAX . Apply model compression, quantization, pruning, and distillation techniques for deployment efficiency. Leverage cloud AI services such as AWS SageMaker , Azure ML , Google Vertex AI for scalable model training and serving. AI Research & Innovation Lead research in Agentic AI, LLM orchestration, and advanced planning strategies (e.g., ReAct, Tree of Thought, Reflexion, Autoformalism). Stay current with SOTA research; contribute to whitepapers, blogs, or top-tier conferences (e.g., NeurIPS, ICML, ICLR). Evaluate new architectures like BDI models , cognitive architectures (e.g., ACT-R, Soar), or neuro-symbolic approaches. Programming & Systems Engineering Strong coding proficiency in Python , CUDA , and TensorRT for model acceleration. Experience with distributed computing frameworks (e.g., Ray , Dask , Apache Spark ) for training large-scale models. Design and implement robust MLOps pipelines with Docker , Kubernetes , MLflow , and CI/CD systems. Required Skills & Qualifications 8–14 years of experience in AI/ML, with at least 2+ years hands-on with Agentic AI systems. Proven experience building, scaling, and deploying agent-based architectures. Strong theoretical foundation in machine learning, deep learning, NLP, and reinforcement learning. Familiarity with cognitive architectures, decision-making, and planning systems. Hands-on with LLM integration and fine-tuning (e.g., OpenAI GPT-4, Claude, LLaMA, Mistral, Gemini). Deep understanding of prompt engineering , function/tool calling , retrieval-augmented generation (RAG) , and memory management in agentic systems. Preferred (Nice to Have) Publications or open-source contributions in Agentic AI or Generative AI. Experience with simulation environments for training/test agents (e.g., OpenAI Gym, Unity ML-Agents). Knowledge of safety, ethics, and alignment in autonomous AI systems. About Damco: We are a global technology company with more than two decades of core IT experience. Our differentiators are technological prowess with unwavering back-end support on a wide range of technologies and industry-leading platforms. At Damco, we take pride in building innovative, efficient, and robust IT solutions for our clients. We match the client’s business goals with our technology expertise and immaculate execution capabilities to solve issues that matter to the end-user. Damco has developed hundreds of products and applications, redefined countless processes, built numerous technology teams and systems, and delivered significant financial results to customers from diverse verticals. We believe in empowering our people to perform and grow by offering opportunities, learning, and inspiration—to ‘act and accomplish’. If you are a self-starter looking for an open and collaborative work culture to excel in career, we are the place for you. Here is what you can expect from our work-culture.

Hello, FCM part of FTCG is one of the world’s largest travel management companies and a trusted partner for nationals and multinational companies. With a 24/7 reach in 97 countries, FCM’s flexible technology anticipates and solves client needs, supported by experts who provide in-depth local knowledge and duty of care as part of the ultimate personalised business travel experience. As part of the ASX-listed Flight Centre Travel Group, FCM delivers the best market-wide rates, unique added-value benefits, and exclusive solutions. Winner of the World's Leading Travel Management Company Award at the WTM for nine consecutive years (2019-2011), FCM is constantly transforming the business of travel through its empowered and accountable people who deliver 24/7 service and are available online and offline. FCM has won the coveted Great Place to Work certification for the fifth time ! FCM Travel India is one of India’s Top 100 Great Mid-size Workplaces 2024 and the Best in Professional Services. A leader in the travel tech space, FCM has proprietary client solutions. FCM provides specialist services via FCM Consulting and FCM Meetings & Events. Key Responsibilities : Design and develop AI solutions that address real-world business challenges, ensuring alignment with strategic objectives and measurable outcomes. Work with large-scale structured and unstructured datasets, leveraging modern data frameworks, tools, and platforms. Establish and maintain robust standards for data security, privacy, and regulatory compliance across all AI and data workflows. Collaborate closely with cross-functional teams to gather requirements, share insights, and deliver high-impact solutions. Monitor and maintain production AI systems to ensure continued accuracy, scalability, and reliability over time. Stay up to date with the latest advancements in AI, machine learning, and data engineering, and apply them where relevant. Write clean, well-documented, and maintainable code, and actively contribute to team best practices and technical documentation. You'll be perfect for the role if you have: Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field Strong programming skills in Python (preferred) and experience with AI/ML libraries such as TensorFlow, PyTorch, scikit-learn, or Hugging Face Experience designing and deploying machine learning models and AI systems in production environments Familiarity with modern data platforms and cloud services (e.g., Azure, AWS, GCP), including AutoML and MLflow Proficiency with data processing tools and frameworks (e.g., Spark, Pandas, SQL) and working with both structured and unstructured data Experience with Generative AI technologies, including prompt engineering, vector databases, and RAG (Retrieval-Augmented Generation) pipelines Solid understanding of data security, privacy, and compliance principles, with experience implementing these in real-world projects Strong problem-solving skills and ability to translate complex business problems into technical solutions Excellent communication and collaboration skills, with the ability to work effectively across technical and non-technical teams Experience with version control (e.g., Git) and agile development practices Enthusiasm for learning and applying emerging technologies in AI and machine learning Work Perks! - What’s in it for you: FCTG is renowned internationally for having amazing perks and an even better culture. We understand that our people are our most valuable asset. It is the passion and dedication of our teams that keep the company on top of the industry ladder. It’s also why we offer some great employee benefits and perks outside of the norm. You will be rewarded with competitive market salary. You will also be equipped with relevant training courses and tools to set you up for success with endless career advancement and job opportunities all over the world. Market Aligned remuneration structure and a highly competitive salary Fun and Energetic culture : At the heart of everything we do at FCM is a desire to have fun and be yourself Work life Balance : We believe in “No Leave = No Life” So have your own travel adventures with paid annual leave Great place to work - Recognized as a top workplace for 5 consecutive years, which is a testimonial of our commitment towards our people Wellbeing Focus - We take care of our employee with comprehensive medical coverage, accidental insurance, and term insurance for the well being of our people. Paternity Leave: We ensure that you can spend quality time with your growing family Travel perks : You'll have access to plenty of industry discounts to ensure you continue to broaden your horizons A career, not a job : We believe in our people brightness of future. As a high growth company, you will have the opportunity to advance your career in any direction you choose whether that is locally or globally. Reward & Recognition : Celebrate the success of yourself and others at our regular Buzz Nights and at the annual Global Gathering - You'll have to experience it to believe it! #FCMIN Love for travel : We were founded by people who wanted to travel and want others to do the same. That passion is something you can’t miss in our people or service. We value you... Flight Centre Travel Group is committed to creating an inclusive and diverse workplace that supports your unique identity to create better, safer experiences for everyone. We encourage you to come as you are; to foster inclusivity and collaboration. We celebrate you. Who We Are... Since our beginning, our vision has always been to open up the world for those who want to see. As a global travel retailer, our people come from all different backgrounds, and our connections spread to the far reaches of the globe - 20+ countries and counting! Together, we are a family (we call ourselves Flighties). We offer genuine opportunities for people to grow and evolve. We embrace new experiences, we celebrate the wins, seize all opportunities, and empower all of our people to find their Brightness of Future. We encourage you to DREAM BIG through collaboration and innovation, and make sure you are supported to make incredible ideas a reality. Together, we deliver quality, innovative solutions that delight our customers and achieve our strategic priorities. Irreverence. Ownership. Egalitarianism

Location- Gurgaon Engagement- Freelancer We’re looking for a seasoned AI Architect / Lead with 8–10 years of experience in designing and delivering AI-driven solutions across industries. This role requires a hands-on expert who can guide teams, drive strategy, and architect scalable systems using advanced AI/ML and GenAI models. Key Skills & Experience: 8–10 years of experience in AI/ML solution architecture Strong in Python, TensorFlow, PyTorch, Scikit-learn Deep knowledge of NLP, Computer Vision, Generative AI, LLMs Experience with cloud platforms (AWS, Azure, GCP) and MLOps pipelines Familiarity with Prompt Engineering, RAG , and Agentic AI frameworks Ability to lead technical teams and collaborate with stakeholders Strong communication, documentation, and solutioning skills Preferred: Experience in deploying AI models at scale Prior consulting/freelance experience Exposure to AI compliance, ethics, and responsible AI practices

Company: Eteros Technologies India Private Limited Eteros Technologies, Inc. is a Semiconductor Engineering services startup, head quartered in the heart of the Silicon Valley, San Jose, CA, USA. Eteros Technologies India Pvt Ltd is a wholly owned subsidiary offices in Bangalore, Noida, Hyderabad and Ahmedabad • Our world-wide customers are amongst The Who's who in the semiconductor industry. Eteros works not only with some of the top 20 semiconductor startups in the world but boasts of customers who are among the most respected publicly traded semiconductor companies. • Eteros engineers work on cutting edge technology nodes while working on the state-of-the art designs in the AI/ML, Datacenter, Automotive and 5G domains. Eteros engineers work with some of the brightest, innovative and successful engineers and leaders around the world. A one-of-a-kind opportunity where young Eteros engineers showcase their ability and experience world-wide from day 1 while learning from some of the world's most well-respected companies. • We are not your traditional design services company offering staff augmentation. Eteros engineers are treated as an integral part of the customer team and routinely are responsible for turnkey, end-to-end ownership and delivery, whether it is Implementation, Digital and Mixed Signal Verification, DFT or Analog Design and Layout. Eteros and our engineers work closely with our customers to define and set methodologies and design flows. • Eteros invests in our engineers. Our engineers are continuously learning, on and off the job. They are able to grow the breadth and depth of knowledge. We believe in preparing our employees for the fast-track in career development as well as longevity ----------------------------------------------------------------------------- Job Title/Role: DFT - Senior Engineer/Lead Location : Bangalore/Hyderabad/Ahmedabad Experience Level : 4+ Years Industry : Semiconductors Employment Type : Full-time Job Functions : Engineering ----------------------------------------------------------------------------- Summary Minimum 4 yrs+ experience in DFT implementation Must have worked on Scan Insertion, MBiST, ATPG, Simulations Must have experience with Synopsys DFT tools & Flows Experience in DFT timing closure preferred Experience in multi-die HBM/Memory testing with Synopsys tools preferred Work hands-on on critical tasks of DFT implementation Own the DFT implementation flows, methodologies and execution of SoCs Experience Experience in all phases of the DFT pre and post-Si for large SoCs Implement DFT of SoC/Full-chip-level and/or high-speed cores/blocks Experience in high-speed, low-power, mixed-signal SoC’s is a plus Preferably worked on 5nm/7nm/12nm/14nm/16nm nodes at the major foundries Experience in developing DFT architecture, Test-plan, implementation methodologies Experience in scan insertion, memory-BIST, JTAG/IJTAG, CTL, IEEE 1149.1/1500 wrappers, BSCAN, Compression, ATPG, Simulations, post-Si testing/debug Experience in manual test-point insertion, improve coverage targets, high-compression Experience in hierarchical ATPG, OCC/OPCG, power-aware scan/ATPG methodologies Experience in test-mode constraints generation and test-mode timing closure Experience in patter generation for foundry, post-Si support/debug Thorough understanding of digital design, timing analysis, and physical design process EDA Tools: Cadence (Encounter-Test, Modus-DFT, Tempus, Conformal), Mentor (Tessent tool suite), Synopsys (DFTC, Tetramax, TestMax-DFT, SMS, PTSI) Requirements • BTech/MTech/PhD with in Electrical or Computer engineering • 4-8years of hands-on experience with DFT and test flow with commercial EDA tools for large and complex SOCs • Strong fundamental knowledge of DFT techniques include JTAG, ATPG, yield learning, logic diagnosis, Scan compression, IEEE 1500 Std. and MBIST • Experience with Cadence & Synopsys DFT tools is required. • Strong programming skills in Perl/TCL/C++ and shell scripting is required • Must be able to solve complex problems and independently drive tasks to completion in a timely manner. • Be able to work under limited supervision and take complete accountability. • Excellent written and verbal communication skills What's in it for you • Work on leading edge technologies • An opportunity for career development and growth • Competitive compensation • Medical Benefits and more

Atologist Infotech is looking for an experienced and forward-thinking AI Engineer to help shape and scale our AI Agent Framework. This is a hands-on engineering role focused on building intelligent, modular agent systems that can reason, plan, and interact autonomously in real-world applications. You will work alongside a highly collaborative team to develop systems that leverage LLMs, contextual memory, and tool integration—delivering AI-native applications, not just traditional ML pipelines. Key Responsibilities AI Agent System Development--Design and implement agent-oriented systems that support task decomposition, memory handling, and contextual planning. Framework Engineering--Develop and extend our in-house AI Agent Framework with reusable components like tools, memory modules, and orchestration logic. Contextual Intelligence--Build and integrate vector search, semantic retrieval, and memory systems to enable long-term, goal-driven agent behaviour. Natural Language Interfaces--Connect LLMs (e.g., OpenAI, Anthropic) and NLU/NLP layers to enable natural task inputs and autonomous reasoning capabilities. API Engineering--Develop RESTful APIs using FastAPI, Flask, or Django to expose agent capabilities and integrate with other products. System Architecture--Design scalable, event-driven microservice architectures tailored for AI-native workloads and agent frameworks. Ethical AI--Prioritize responsible AI design with user safety, transparency, and privacy at the core. Required Skills & Qualifications Education--Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field. Python Proficiency--Strong software engineering skills in Python (3.x) with deep understanding of async programming, architecture design, and typing. AI/LLM Experience--Practical experience of 3 YEARS using LLMs for reasoning, prompt engineering, chaining, or building agent-like applications. Frameworks & Tools--FastAPI, Flask, or Django LangChain, LlamaIndex, or other agent frameworks Vector stores (e.g., FAISS, Weaviate, Pinecone) PostgreSQL, Redis, and event queues (e.g., Celery, RabbitMQ) Version Control & Testing--Proficient with Git workflows and writing tests using Pytest or similar. Bonus Skills (Nice-to-Have) Experience with autonomous agents, tool-calling, or memory-driven task systems Familiarity with cognitive architectures or symbolic reasoning Contributions to open-source AI frameworks or tooling