Key Responsibilities: Develop, maintain, and optimize complex SQL queries and DBT models for business analytics and reporting. Analyze large datasets stored in Snowflake to extract actionable insights and support data-driven decision-making. Design and implement robust data pipelines using Python , ensuring data quality, integrity, and availability. Collaborate with cross-functional teams to gather business requirements and translate them into technical solutions. Leverage tools like Fivetran and Airflow to orchestrate and automate data workflows. Contribute to version control and CI/CD processes using Git and Jenkins . Support data infrastructure hosted on AWS , ensuring scalability and security. Document data models, processes, and best practices using tools such as SQL DBM . Required Skills and Qualifications: Primary Skills: Proficiency in Snowflake , Python , and SQL for data analysis and transformation. Experience with DBT for building scalable and modular analytics workflows. Secondary Skills: Familiarity with Fivetran for data ingestion and Airflow for workflow orchestration. Knowledge of Git and Jenkins for version control and automation. Experience with AWS cloud services for data storage and compute. Understanding of SQL DBM or similar tools for data modeling and documentation. Bachelors or Master’s degree in Computer Science, Data Science, Information Systems, or a related field.
We are looking for a Python Developer to join our dynamic team and contribute to building high-quality, scalable, and efficient software. The ideal candidate will be passionate about coding, solving problems, and continuously learning. Required Skills and Experience: Programming: Proficiency in Python and its frameworks (Flask, Django, FastAPI, etc.). Familiarity with object-oriented programming (OOP) concepts and design patterns. Strong knowledge of RESTful API design and development. Database: Experience with relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Redis). Ability to write optimized SQL queries and database schema design. Web Development: Experience with web frameworks like Django, Flask, or FastAPI. Knowledge of frontend technologies (HTML, CSS, JavaScript) is a plus but not mandatory. Problem Solving and Algorithms: Strong problem-solving abilities and understanding of algorithms and data structures. Ability to write efficient and optimized code. Communication: Excellent verbal and written communication skills. Ability to collaborate with team members and stakeholders effectively.
Job Summary: We are seeking a skilled and proactive Linux System Administrator with hands-on experience in Linux server management, virtualization, and troubleshooting. The ideal candidate will have strong technical skills, problem-solving abilities, and a solid understanding of enterprise server environments. Key Responsibilities: Perform day-to-day Linux server administration and maintenance tasks. Manage and troubleshoot L2 issues effectively and independently. Ensure smooth operation of virtualized environments (VMware). Handle user and group management, as well as access control. Install and configure services on servers based on user and project requirements. Troubleshoot and resolve server-level issues, including high-priority incidents. Manage Logical Volume Management (LVM) and maintain multipathing configurations. Diagnose and address hardware issues (e.g., disk, HBA failures). Perform regular OS patching and updates to maintain system security and performance. Configure and manage DNS and DHCP services. Maintain documentation and logs as required. Required Skills and Qualifications: Strong hands-on experience with Linux (RHEL/CentOS/Ubuntu) and VMware platforms. In-depth knowledge of LVM, multipathing, and Linux patch management. Experience in handling hardware failures and replacements. Solid understanding of DNS, DHCP, and other core networking services. Excellent troubleshooting and communication skills Ability to work under pressure and handle high-priority issues independently. Flexibility to work in a 24x7 rotational shift environment. Preferred Qualifications: Certifications such as RHCSA/RHCE, VMware VCP, or equivalent. Exposure to ITIL framework and ticketing tools like ServiceNow, Remedy, etc.
Roles & Responsibilities- Uses knowledge of LAN/WAN systems to help design, support, and setup network. Tests and evaluates network systems to eliminate problems and make improvements. Take ownership for the ServiceNow tickets (requests, incidents - monitoring and users, changes) and work with the best resolution by proper and on-time ticket updates and detailed close notes for making improved network service/infra. Work on the repetitive alerts and resolve them under the defined SLAs. Along with ServiceNow tickets, attend and resolve user requests and incidents posted over the diff communication channels like emails, Slack, and Teams. Document them in the ServiceNow. NetOps support for the Campus and Data Centers Network Infra, SDWAN and SASE VPN Solutions, Network Firewalls Management, Hybrid Cloud (AWS and Azure). Hands-on experienced in planning, configuring, testing, maintaining, and troubleshooting the network infrastructure (Campus, Datacenter, and Cloud Network) Extensive knowledge of deploying and troubleshooting L2/L3 Multilayer Switching protocols VLAN, STP, VTP, HSRP, MLAG Experienced with various dynamic routing protocols, specifically BGP and experienced with IPsec VPN, Route management using PBRs. Creating a support request and work/coordinate with the vendors (ISPs and Product Vendors) in service request, issue resolution and security improvements. Handling Cloud Networking support (AWS and Azure) like VPC Peering requests, TransitGateway attachments, Route Propagation. Network security vulnerability remediation across all network infra through config management or firmware upgrades. Managing the firewall policies across all the firewalls as per the user and security requirements. Handling the wireless network request, issue, and troubleshooting Managing the F5 LTMs and SSL certificate management Taking ownership for the NetOps related projects and track it under Jira. Understanding, support, and drive the network automations and systems integrations (APIs, Python, Scripting) Skill Needed: Switching (Cisco/Arista) Routing (Cisco) Firewall Management with policy implementation (PaloAlto/Fortigate/Juniper) Wireless (Cisco/Mist) F5 load balancers (F5) SDWAN (Palo Alto) SSL VPN (Ivanti) exposure to cloud - aws
Job Title: Artificial Intelligence & Machine Learning Tech Lead Location: Chennai (Hybrid model - 2 days working from office) Role Summary We are seeking a seasoned Artificial Intelligence & Machine Learning (AI/ML) Tech Lead to drive the technical design, development, and deployment of AI solutionsincluding fine-tuning foundation models, building agentic applications, and implementing production-grade Retrieval-Augmented Generation (RAG) pipelines. This role requires close collaboration with pre-sales teams, account delivery managers, solution architects, and enterprise clients to define and deliver AI solutions tailored to business needs. The ideal candidate will provide hands-on technical leadership throughout the AI/ML lifecycle—leading proof-of-concept (POC) efforts, conducting solution demos, and overseeing production-grade implementations. They will also mentor engineering teams, enforce best practices, and ensure the successful delivery of AI initiatives Key Responsibilities 1. Lead Technical Delivery & Mentorship Lead and mentor a team of 6–10 engineers; establish coding standards, conduct design and PR reviews, and drive continuous improvement. Foster a culture of knowledge-sharing through KT Sessions, documentation, and best-practice guides. 2. AI/ML Model Development & Optimization Develop, fine-tune, and optimize models using PyTorch, TensorFlow, and modern ML frameworks. Apply prompt engineering and advanced techniques to foundation models (e.g., GPT-4, Claude, Llama). Deliver NLP solutions such as document classification, sentiment analysis, summarization, entity extraction, conversational AI, and generative content/workflow automation. Design and implement RAG workflows leveraging vector databases, smart chunking, ranking, and caching for accurate, grounded responses. Build multi-agent systems for task decomposition, planning, and tool usage in complex environments. 3. MLOps & Productionization Implement MLOps best practices: CI/CD pipelines, model monitoring, feature stores, lineage, and governance. Ensure model reproducibility, drift detection, explainability (SHAP, LIME), and responsible AI practices. Optimize inference throughput/latency and ensure robust rollback strategies. 4. Performance, Security, and Compliance Ensure security, compliance, and performance of AI solutions, adhering to industry standards and regulations. Integrate with external APIs, optimize for cost/latency, and manage observability. 5. Stakeholder Engagement & Roadmapping Translate business objectives into technical designs; communicate risks, metrics, and impact to executives and stakeholders. Produce design diagrams, runbooks, and model cards; lead knowledge-sharing sessions and workshops. Technology Stack Programming Languages & Frameworks Python (expert) JavaScript/Go/TypeScript (nice-to-have) Strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. PyTorch, TensorFlow/Keras, Hugging Face Transformers/PEFT, LangChain/LlamaIndex, Ray/PyTorch Lightning, FastAPI/Flask Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination Cloud & DevOps Expertise in one or more cloud vendors like AWS, GCP, Azure Containers (Docker), Orchestration (Kubernetes, EKS/GKE/AKS) Infrastructure as Code (nice-tohave) MLOps Experiment Tracking: DVC, Weights & Biases, Neptune, TensorBoard etc Databases Relational: PostgreSQL, MySQL NoSQL: MongoDB / DynamoDB Vector Stores: FAISS / pgvector / Pinecone / OpenSearch / Milvus / Weaviate RAG Components Document loaders/parsers, text splitters (recursive/semantic), embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, rerankers (Cross-Encoder) Multi-Agent Frameworks Crew AI / AutoGen / LangGraph / MetaGPT / Haystack Agents, planning & tool-use patterns Testing & Quality Unit/integration testing (pytest), guardrails, hallucination tests, behavioral evals Security & Compliance Best Practices & Design Governance Apply industry best practices: Secure AI development, responsible AI, model explainability, bias detection, and privacy-preserving techniques. Champion documentation standards, reusable reference architectures, and model cards. Participate in architecture review boards and provide guidance to ensure consistency and quality across AI initiatives. Leadership & Pre-Sales Experience Proven track record shipping ML products at scale Lead client workshops, technical discovery, and early-stage assessments. Support business development by identifying architectural differentiators and scalable patterns. Qualifications 10–12 years of experience in software engineering/data science, with 4+ years leading AI/ML projects end-to-end. Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related field. Certifications preferred: AWS Certified Machine Learning / Google Professional Machine Learning Engineer / Azure AI Engineer Associate and Kubernetes CKA/CKAD. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Soft Skills & Leadership Attributes Influential communication: Translate complex ML concepts for non-technical stakeholders; strong presentation & storytelling. Mentorship mindset: Coach, upskill, and inspire cross-functional teams; foster psychological safety. Ownership & bias for action: Deliver POCs, iterate based on feedback, drive solutions to production. Critical thinking & experimentation: Data-driven decision making, hypothesis testing, A/B experimentation. Adaptability: Stay current with rapid advances in GenAI, tooling, and research; evaluate emerging models/services.
Job Title: Senior developer - Artificial Intelligence & Machine Learning Location: Chennai / Bangalore / Pune (Hybrid model - 2 days working from office) Role Summary We are seeking a skilled and hands-on Senior Artificial Intelligence & Machine Learning (AI/ML) Engineer to build and productionize AI solutionsincluding fine-tuning large language models (LLMs), implementing Retrieval-Augmented Generation (RAG) workflows, multi-agent applications and MLOps pipelines. This role focuses on individual technical contribution and requires close collaboration with solution architects, AIML leads, and fellow engineers to translate business use cases into scalable, secure, cloud-native AI services. The ideal candidate will bring deep technical expertise across the AI/ML lifecycle—from prototyping to deployment—while contributing to a culture of engineering excellence through peer reviews, documentation, and platform innovation. They will play a critical role in delivering robust, high-performance AI systems in partnership with the broader AI/ML team. Key Responsibilities Model Development & Optimization Fine-tune foundation models (e.g., GPT-4, Llama 3). Implement prompt engineering and basic parameter-efficient tuning (e.g., LoRA). Conduct model evaluation for quality, bias, and hallucination; analyze results and suggest improvements. RAG & Agentic Systems (Exposure, Not Ownership) Assist in building RAG pipelines: Participate in integrating and embedding generation, vector stores (e.g., FAISS, pgvector), and retrieval/ranking components. Work with multi-agent frameworks (e.g., LangChain, Crew AI) Production Engineering / MLOps Contribute to CI/CD pipelines for model training and deployment (e.g., GitHub Actions, SageMaker Pipelines). Help automate monitoring for latency, drift, and cost; assist in lineage tracking (e.g., MLflow). Containerize services with Docker and assist in orchestration (e.g., Kubernetes/EKS/GKE) Data & Feature Engineering Build and maintain data pipelines for collection, cleansing, and feature generation (e.g., Airflow, Spark). Implement basic data versioning and assist with synthetic data generation as needed Code Quality & Collaboration Participate in design and code reviews. Contribute to testing (unit, integration, guardrail/hallucination tests) and documentation. Share knowledge through sample notebooks and internal sessions Security, Compliance, Performance Follow secure coding and Responsible AI guidelines. Assist in optimizing inference throughput and cost (e.g., quantization, batching) under guidance. Ensure SLAs are met and contribute to system auditability Technology Stack Programming Languages & Frameworks Python (expert) JavaScript/Go/TypeScript (nice-to-have) Strong knowledge of libraries such as Scikit-learn, Pandas, NumPy, XGBoost, LightGBM, TensorFlow, PyTorch. PyTorch, TensorFlow/Keras, Hugging Face Transformers/PEFT, LangChain/LlamaIndex, Ray/PyTorch Lightning, FastAPI/Flask Experience working with RESTful APIs, authentication (OAuth, API keys), and pagination Cloud & DevOps Expertise in one or more cloud vendors like AWS, GCP, Azure Containers (Docker), Orchestration (Kubernetes, EKS/GKE/AKS) MLOps Databases Relational: PostgreSQL, MySQL NoSQL: MongoDB / DynamoDB Vector Stores: FAISS / pgvector / Pinecone / OpenSearch / Milvus / Weaviate RAG Components Document loaders/parsers, text splitters (recursive/semantic), embeddings (OpenAI, Cohere, Vertex AI), hybrid/BM25 retrievers, rerankers (Cross-Encoder) Multi-Agent Frameworks Crew AI / AutoGen / LangGraph / MetaGPT / Haystack Agents, planning & tool-use patterns Testing & Quality Unit/integration testing (pytest), guardrails Qualifications 7–10years total software/ML engineering experience, including 3+years delivering ML models or GenAI systems to production. Proven track record building and optimising RAG or LLMpowered applications at scale Proficiency in Python and ML frameworks (PyTorch, TensorFlow) and in cloudnative deployment (AWS/GCP/Azure). Handson experience with vector databases, embeddings, and prompt engineering. Experience in regulated industries (Fintech, Healthcare, eCommerce) is a plus. Experience with multiagent frameworks (CrewAI, AutoGen, LangGraph). Certifications such as AWS CertifiedMachineLearning Specialty / AzureAIEngineer / GoogleProfessionalMachineLearningEngineer. Bachelor’s degree in Computer Science, Data Science, Engineering or related discipline (Master’s preferred). Soft Skills & Leadership Attributes Ownership mindset: drives features from design through deployment and monitoring. Clear communicator: explains technical tradeoffs to stakeholders, writes concise docs, and updates project artefacts. Collaboration & mentorship: pairs with junior ngineers, shares knowledge in brownbag sessions, gives constructive PR feedback. Continuous learning: tracks latest GenAI research, evaluates new tooling, and proposes incremental improvements.
Job Description: We are looking for a versatile UI Developer who thrives in a dynamic environment, balancing defect resolution, feature development, and unit testing responsibilities. As a UI Developer, you will be integral to our team's success, collaborating closely with backend developers, designers, and product managers to deliver high-quality user interfaces. Your expertise in React JS, Redux, and proficiency in writing Cypress unit tests will be crucial in ensuring the reliability and functionality of our applications. Key Responsibilities: Feature Development: Design and develop new features in React JS and ensure they meet design and functionality requirements. Estimate the time required (ETA) accurately for each feature implementation. Defect Resolution: Investigate and resolve defects reported during testing or production. Prioritize and address issues promptly to maintain application reliability. Debugging and Troubleshooting: Proactively identify and resolve front-end issues, including layout inconsistencies, performance bottlenecks, and JavaScript errors. Unit Testing (UT) : Write effective unit tests using Cypress for UI components and ensure adequate test coverage. Integrate backend APIs seamlessly into the UI layer. Technical Skills: Demonstrate expertise in JavaScript, HTML5, CSS, Bootstrap, and responsive design principles. Utilize Redux for state management and Micro Frontend architecture for modular UI development. Code Quality and Reusability: Write clean, maintainable, and reusable code following best practices. Conduct code reviews and participate in Dev Testing to ensure code quality and adherence to coding standards. Collaboration and Teamwork: Actively participate in Agile ceremonies including daily Scrum meetings, sprint planning, and retrospectives. Mentor junior developers and assist senior developers as needed. Required Skills: Professional experience as a UI Developer, proficient in React JS, Redux, and Cypress for UT. Strong understanding of frontend technologies such as JavaScript, HTML5, CSS, Bootstrap, and responsive design. Experience with integrating backend APIs into frontend applications. Familiarity with version control systems like GIT, issue tracking tools like JIRA, and Agile methodologies. Excellent problem-solving skills and attention to detail. Ability to work effectively both independently and as part of a team. Good to have: Knowledge of Node.js and TypeScript, REST, JSON, Golang. Experience with Micro Frontend architecture. Previous exposure to CI/CD pipelines and automated testing frameworks. Personal Attributes: Passionate and proactive attitude towards work assignments. Strong communication and interpersonal skills. Commitment to delivering high-quality solutions and continuous improvement. Ability to thrive in a fast-paced, collaborative environment.
Job Description : Location: Bangalore ,Chennai,Pune,Noida (Hybrid) Experience: 5-7 years of overall experience with 5+ years of relevant experience.They are seeking a dedicated and skilled Software Engineer to join our engineering team . Reporting to the Senior Engineering Manager, the successful candidate will collaborate with Subject MatterExperts (SMEs) and highly talented Software Engineers within this domain. As a technical expert, you will be responsible for managing and enhancing Global Trade Complianceapplications including Oracle Enterprise Data Quality/Oracle Watchlist Screening (OEDQ/OWS),Amazon Web Services (AWS), Snowflake, and Salesforce. You will work closely with teams from TradeCompliance, Legal, Operations, and Enterprise Engineering to develop new Trade Compliance features,workflows, and integrations with other enterprise applications. Responsibilities:• You will collaborate with various teams & stakeholders to design and engineer Global TradeCompliance solutions.• You will work with business and engineering team members to understand their requirements and translate them into technical solutions. • Youll ensure new code follows best security practices.• As a technical expert for Global Trade Compliance applications, youll apply engineering best practices andmake the right technology selections in delivering system enhancements. • You will develop Unit Tests; strive to automate testing as much as possible.• Youll collaborate with QA teams to define testing strategies and conduct Experience writing clean, concisecode with comments testing of developed solutions.• .• 5+ years of software development experience in the trade compliance domain .• Experience designing, architecting and deploying Export/Trade Compliance solutions .• Hands-on experience working with technologies like Oracle Enterprise Data Quality platform / OracleWatchlist Screening (OEDQ/OWS). • Proficiency working with AWS, Oracle Database, SQL Queries, Salesforce, REST/SOAP APIs.• Excellent problem-solving, analytical, and debugging skills. • Ability to work effectively in a collaborative team environment. • Strong communication skills, both written and verbal .• Experience with data integration, ETL processes, and SQL is a plus. • AI/ML, GenAI, Agentic Workflow experience will be an added advantage. Primary Skills: Oracle Watchlist Screening, Oracle Enterprise Data Quality, REST/SOAP APIs, Database, SQLQueries, AWS Secondary Skills: Salesforce, Python
ServiceNow CMDB Developer Seeking an experienced ServiceNow professional to manage and optimize CMDB, Discovery, and Service Mapping, ensuring data accuracy, integration, and governance while supporting ITOM modules and mentoring junior team members. Key Responsibilities: Design, implement, and maintain the end-to-end ServiceNow CMDB to ensure data accuracy, completeness, and compliance. Define and enforce CI class structures, relationships, and data models. Configure and optimize ServiceNow Discovery and Service Mapping to ensure accurate CI population. Troubleshoot discovery issues and improve coverage and accuracy. Integrate CMDB with external data sources using APIs, MID Servers, and ETL tools. Monitor and improve CMDB health using dashboards and reports. Collaborate with stakeholders to define CMDB governance policies and procedures. Ensure alignment with ITIL and Configuration Management best practices. Work closely with Incident, Problem, Change, and Asset Management teams. Provide technical leadership and mentoring to junior team members. Develop and maintain CMDB reports, dashboards, and documentation. Present CMDB health and compliance metrics to leadership. The candidate should also have experience in other ITOM modules such as Event Management and Cloud Insights. Required Skills & Qualifications: 58 years of hands-on experience with ServiceNow, specifically CMDB, Discovery, and Service Mapping. Good to have experience in event management and Cloud insight Strong understanding of IT infrastructure (servers, networks, applications, cloud). Proficiency in scripting (JavaScript, Glide), data modeling, and integrations. Experience with MID Servers, APIs, and integration tools. Familiarity with ITIL v3/v4 framework and Configuration Management processes. Excellent problem-solving, communication, and stakeholder management skills. ServiceNow Certified System Administrator (CSA) and CMDB/Discovery certifications preferred.
Senior AI/ML Engineer Location: Chennai, Bangalore, Noida and Pune Required Qualifications 5+ years of professional experience in AI/ML development Strong programming skills in Python and related ML frameworks Proven track record of delivering GenAI systems to production Effective communication with client Technical Skills & Experience Proficiency in Python, TensorFlow, PyTorch, Hugging Face, LangChain. Experience with APIs development and integration using Flask, FastAPI, or similar frameworks. Familiarity with Vector Databases (FAISS, Pinecone, Weaviate, ChromaDB) for AI applications. Experience with SQL & NoSQL databases (PostgreSQL, MongoDB, etc.). Strong knowledge of Cloud services (AWS, Azure, GCP) for AI deployment. Understanding of MLOps and CI/CD pipelines for model lifecycle management. Machine Learning & Deep Learning Strong foundation in traditional ML algorithms and statistical modeling Experience with neural network architectures and deep learning frameworks (PyTorch/TensorFlow) Practical knowledge of model optimization, hyperparameter tuning, and performance metrics Expertise in data preprocessing, feature engineering, and model validation techniques Large Language Models (LLMs) Experience working with transformer-based architectures Hands-on experience with LLM deployment and fine-tuning Understanding of prompt engineering and LLM evaluation metrics Knowledge of RAG (Retrieval-Augmented Generation) systems and vector databases AI Agents & Automation Experience in developing autonomous AI agents and workflows Understanding of agentic approaches to AI system design Knowledge of reinforcement learning and decision-making systems Experience with AI orchestration and multi-agent systems Computer Vision (Good to have) Practical experience with image processing and computer vision algorithms Knowledge of CNN architectures and modern vision transformers Experience with object detection, segmentation, and classification tasks Understanding of video processing and real-time vision systems Infrastructure & Deployment Strong experience with cloud platforms (AWS/Azure/GCP) Expertise in API development and RESTful services Knowledge of containerization and orchestration (Docker, Kubernetes) Experience with ML ops and model serving infrastructure Key Responsibilities Design and implement end-to-end AI solutions from concept to production Develop and optimize ML models for various use cases Create and maintain RAG systems for information retrieval and generation Build and deploy computer vision solutions for real-world applications Implement and manage cloud-based AI services and APIs Collaborate with cross functional teams to integrate AI solutions Mentor junior team members and contribute to technical decision making Preferred Skills Experience with distributed computing and large scale data processing Knowledge of AI safety and responsible AI development practices Familiarity with AI research papers and ability to implement novel approaches Experience with A/B testing and experimental design Strong documentation and technical writing abilities Personal Qualities Strong problem solving and analytical skills Excellent communication and collaboration abilities Self motivated with a passion for staying current with AI advancements Ability to work independently and as part of a team share CV to hrajasekaran@aziro.com
Aziro is hiring AI Engineers to join immediately. Exp - 6+ yrs Location - Chennai, Pune, Noida, Bangalore One level will be FTF interview (either L1 or L2) Should have hand- on experience in Python Development or Programming with AI Skills. Aziro is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. Were looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference. Objectives of this role Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy Understand company and client challenges and how integrating AI capabilities can help lead to solutions Lead cross-functional teams in identifying and prioritizing key areas of a partners business where AI solutions can drive significant business benefit Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards Roles and Responsibilities Collaborate with cross-functional teams to integrate AI models into existing systems. Design, develop, and deploy AI solutions using AIMl, AI Solutions, and AI Techniques. Develop and maintain complex AI algorithms for data analysis and prediction. Ensure high-quality delivery of projects by adhering to project timelines and requirements. Provide technical guidance on AI best practices to junior team members. Desired Candidate Profile Good understanding of AI algorithms, techniques, and frameworks (e.g., deep learning). Proficiency in programming languages like Python or Java or C or C++ or .net or C# is preferred; Knowledge of SQL is an added advantage.
Aziro is hiring AI Engineers !!! Exp - 11+ yrs Location - Chennai, Pune, Noida, Bangalore Should have hand- on experience in any Programming ( Python or C or C++ or Java or C# or .net ) with AI Skills. Aziro is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. Were looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference. Objectives of this role Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy Understand company and client challenges and how integrating AI capabilities can help lead to solutions Lead cross-functional teams in identifying and prioritizing key areas of a partners business where AI solutions can drive significant business benefit Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards Roles and Responsibilities Collaborate with cross-functional teams to integrate AI models into existing systems. Design, develop, and deploy AI solutions using AIMl, AI Solutions, and AI Techniques. Develop and maintain complex AI algorithms for data analysis and prediction. Ensure high-quality delivery of projects by adhering to project timelines and requirements. Provide technical guidance on AI best practices to junior team members. Desired Candidate Profile Good understanding of AI algorithms, techniques, and frameworks (e.g., deep learning). Proficiency in programming languages like Python or Java or C or C++ or .net or C# is preferred; Knowledge of SQL is an added advantage.
Position: Senior Networking Developer (System/Protocol Level) We are looking for an experienced Senior Networking Developer with expertise in developing and optimizing networking systems and protocol stacks. This role involves designing, implementing, and troubleshooting high-performance network solutions at the system and protocol level. Required Skills and Qualifications Technical Expertise: Experience in networking protocol or system-level development. Strong proficiency in C or C++ for low-level systems programming. In-depth knowledge of networking protocols, including L2/L3 protocols (e.g., Ethernet, ARP, IP, ICMP) and L4 protocols (e.g., TCP, UDP). Familiarity with advanced networking concepts such as QoS, load balancing, and multicast. System-Level Knowledge: Experience working with Linux networking subsystems (e.g., netfilter, iptables, eBPF). Hands-on experience with kernel-level networking stack development and optimization. Debugging and Analysis: Proficiency in network diagnostics tools (e.g., Wireshark, tcpdump, strace, gdb). Ability to troubleshoot issues at all layers of the OSI model. Preferred Skills Experience with high-performance networking technologies Experience with programmable network devices Experience with SDN controllers and related protocols like OpenFlow. Job location: Chennai / Bangalore / Pune / Noida (Hybrid - 2 days working from office) BENEFITS & SALARY: Competitive Salary Excellent career development opportunities Work life balance Health Insurance
Job Description for Senior Software Engineer Generative AI & Multi-Agentic Systems Responsibilities:• Design and implement Multi-Agentic GenAI systems to solve regulatory and compliance workflows for global trade.• Assess and recommend the right architecture, tools, and frameworks, ensuring modularity, scalability, and maintainability.• Integrate with a mix of open-source and cloud-based agentic orchestration stacks such as:o LangChain, LangGraph, Autogen, Flowable, N8N, AWS Strands, AWS Bedrock, etc. Lead the development of production-ready agent workflows that interface with legal policies, classification engines, third-party compliance data, and case management systems. Collaborate with U.S.-based business and technical stakeholders to define problem scope, user personas, and use cases.• Work on LLM evaluations, prompt engineering, embedding-based retrieval, and tool-augmented agent behavior. • Integrate with enterprise systems (APIs, data layers, UI components) to support human-in-the-loop decision-making. • Drive rapid prototyping, POCs, and iterative delivery while ensuring testability and traceability of GenAI behavior. • Ensure all systems comply with Autodesk’s standards for security, data protection, auditability, and compliance. • Participate in technical reviews, provide mentorship, and document technical decisions. Qualifications: • 5+ years of software engineering experience with a strong focus on Python and modern software design principles. • Hands-on experience building Multi-Agentic systems using frameworks like LangChain, LangGraph, AutoGen, AWS Strands, Flowable, and N8N. • Solid understanding of Generative AI techniques, including LLMs, embeddings, prompt engineering, and retrieval-augmented generation (RAG). • Strong grasp of Model Context Protocol (MCP) and Agent-to-Agent (A2A) orchestration strategies for scalable, tool-augmented agent workflows .• Experience integrating with vector databases (e.g., FAISS, Weaviate, Pinecone) and using OpenAI or AWS Bedrock APIs. • Knowledge of cloud-native architecture, event-driven microservices, and AWS AI/ML services (e.g., SageMaker, Lambda, Step Functions).• Background in legal, risk, or trade compliance domains is a strong plus.• Ability to work effectively with distributed teams and adjust to U.S. West Coast working hours.• Excellent communication skills and experience collaborating with business users, domain experts, and enterprise architects.
Job Description: We are seeking a highly skilled and experienced Pre-Sales DevOps Solution Architect with a strong background as a developer, as well as expertise in Continuous Integration/Continuous Deployment (CI/CD) and Infrastructure as Code (IaC) tools. As a Pre-Sales DevOps Lead, you will play a crucial role in driving the growth and success of our DevOps solutions by engaging with potential customers and providing technical expertise throughout the sales process. You will work closely with the sales and product teams to understand customer requirements, develop tailored solutions, and effectively communicate the value proposition of our CI/CD and IaC products and services. Responsibilities: 1. Technical Consultation: Collaborate with the sales team to understand customer needs and requirements, and provide expert guidance on the implementation of DevOps solutions, specifically related to CI/CD and Infrastructure as Code. 2. Solution Development: Design and architect customized DevOps solutions that align with customer requirements, leveraging CI/CD and IaC tools and best practices. Create comprehensive technical proposals, presentations, and demonstrations to showcase the value of our solutions. 3. Product Expertise: Develop a deep understanding of our CI/CD and IaC tool suite, staying up-to-date with the latest advancements and industry trends. Act as a subject matter expert and provide thought leadership to both internal teams and external customers. 4. Sales Support: Support the sales team in customer meetings, presentations, and workshops by delivering technical presentations and addressing customer questions and concerns related to CI/CD and IaC. Collaborate with cross-functional teams to coordinate proof of concepts (POCs) and trials. 5. Customer Engagement: Build strong relationships with potential customers, understand their DevOps challenges, and articulate how our CI/CD and IaC solutions can address their specific needs. Effectively communicate the technical aspects of our solutions to both technical and non-technical stakeholders. 6. Competitive Analysis: Stay informed about the competitive landscape, monitor industry trends, and provide insights and recommendations on how to differentiate our CI/CD and IaC solutions from competitors. 7. Collaboration: Work closely with the product management team to provide feedback on customer requirements and market demands. Collaborate with the implementation and delivery teams to ensure smooth transition from pre-sales to post-sales activities. Requirements: 1. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Relevant certifications in DevOps, CI/CD, and Infrastructure as Code are highly desirable. 2. Experience: Minimum of 3 years of experience working as a Pre-Sales DevOps Lead, or similar role, with a strong development background. Proven track record of successful pre-sales engagements and business development. 3. Technical Skills: Strong knowledge and hands-on experience in software development, including proficiency in programming languages such as Python, Java, or JavaScript. Expertise in CI/CD tools like Jenkins, GitLab CI/CD, or CircleCI. Proficiency in Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation. 4. DevOps Practices: Solid understanding of DevOps principles and best practices, including experience with version control systems (e.g., Git), containerization (e.g., Docker, Kubernetes), and cloud platforms (e.g., AWS, Azure, GCP). 5. Communication Skills: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences. Strong presentation and interpersonal skills. 6. Analytical Thinking: Strong problem-solving and analytical skills with the ability to assess customer requirements, identify potential solutions, and propose innovative approaches. 7. Team Player: Ability to collaborate effectively with cross-functional teams, including sales, product management, and implementation teams. Proven ability to work in a fast-paced, deadline-driven environment. 8. Customer Focus: Demonstrated customer-centric approach with a genuine passion for understanding customer needs and delivering exceptional solutions. Strong client-facing and relationship-building skills. 9. Travel: Willingness to travel as required for customer meetings, presentations, and industry events. Join our team and contribute to the success of our DevOps solutions, empowering organizations to streamline their development processes, improve efficiency, and achieve faster time to market. Job location: Chennai / Bangalore / Pune / Noida (hybrid model - weekly 2 days working from office)
Job Description: We are seeking a highly skilled and experienced Pre-Sales DevOps Solution Architect with a strong background as a developer, as well as expertise in Continuous Integration/Continuous Deployment (CI/CD) and Infrastructure as Code (IaC) tools. As a Pre-Sales DevOps Lead, you will play a crucial role in driving the growth and success of our DevOps solutions by engaging with potential customers and providing technical expertise throughout the sales process. You will work closely with the sales and product teams to understand customer requirements, develop tailored solutions, and effectively communicate the value proposition of our CI/CD and IaC products and services. Responsibilities: 1. Technical Consultation: Collaborate with the sales team to understand customer needs and requirements, and provide expert guidance on the implementation of DevOps solutions, specifically related to CI/CD and Infrastructure as Code. 2. Solution Development: Design and architect customized DevOps solutions that align with customer requirements, leveraging CI/CD and IaC tools and best practices. Create comprehensive technical proposals, presentations, and demonstrations to showcase the value of our solutions. 3. Product Expertise: Develop a deep understanding of our CI/CD and IaC tool suite, staying up-to-date with the latest advancements and industry trends. Act as a subject matter expert and provide thought leadership to both internal teams and external customers. 4. Sales Support: Support the sales team in customer meetings, presentations, and workshops by delivering technical presentations and addressing customer questions and concerns related to CI/CD and IaC. Collaborate with cross-functional teams to coordinate proof of concepts (POCs) and trials. 5. Customer Engagement: Build strong relationships with potential customers, understand their DevOps challenges, and articulate how our CI/CD and IaC solutions can address their specific needs. Effectively communicate the technical aspects of our solutions to both technical and non-technical stakeholders. 6. Competitive Analysis: Stay informed about the competitive landscape, monitor industry trends, and provide insights and recommendations on how to differentiate our CI/CD and IaC solutions from competitors. 7. Collaboration: Work closely with the product management team to provide feedback on customer requirements and market demands. Collaborate with the implementation and delivery teams to ensure smooth transition from pre-sales to post-sales activities. Requirements: 1. Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Relevant certifications in DevOps, CI/CD, and Infrastructure as Code are highly desirable. 2. Experience: Minimum of 3 years of experience working as a Pre-Sales DevOps Lead, or similar role, with a strong development background. Proven track record of successful pre-sales engagements and business development. 3. Technical Skills: Strong knowledge and hands-on experience in software development, including proficiency in programming languages such as Python, Java, or JavaScript. Expertise in CI/CD tools like Jenkins, GitLab CI/CD, or CircleCI. Proficiency in Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation. 4. DevOps Practices: Solid understanding of DevOps principles and best practices, including experience with version control systems (e.g., Git), containerization (e.g., Docker, Kubernetes), and cloud platforms (e.g., AWS, Azure, GCP). 5. Communication Skills: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to both technical and non-technical audiences. Strong presentation and interpersonal skills. 6. Analytical Thinking: Strong problem-solving and analytical skills with the ability to assess customer requirements, identify potential solutions, and propose innovative approaches. 7. Team Player: Ability to collaborate effectively with cross-functional teams, including sales, product management, and implementation teams. Proven ability to work in a fast-paced, deadline-driven environment. 8. Customer Focus: Demonstrated customer-centric approach with a genuine passion for understanding customer needs and delivering exceptional solutions. Strong client-facing and relationship-building skills. 9. Travel: Willingness to travel as required for customer meetings, presentations, and industry events. Join our team and contribute to the success of our DevOps solutions, empowering organizations to streamline their development processes, improve efficiency, and achieve faster time to market. Job location: Chennai / Bangalore / Pune / Noida (hybrid model - weekly 2 days working from office)
About Aziro: Aziro is a trusted partner in Software Product Engineering Services and Digital Transformation projects, serving Fortune 100 companies, Silicon Valley-based ISVs, and global enterprises. Clientele & Global Presence: As an ISO 27001 and Great Place To Work Certified company, we collaborate with industry-leading Fortune 500+ companies. Our global presence includes: USA San Francisco, Georgia India Chennai, Bengaluru, Pune, Noida Australia/New Zealand New South Wales APAC Singapore, Malaysia Awards & Achievements: Aziro is recognized as a global technology leader, a great employer, and a responsible organization. Some of our recent accolades include: Great Place To Work Certified in India APAC Bronze Stevie Award – Innovation in Business-to-Business Products & Services SDC Awards - Runner-up – AI/Machine Learning Innovation of the Year Ongoing Expansion Plans – Acquiring two companies by the end of 2025 Strategic Growth Vision – Aiming for 5x growth by 2026, with a target of 7,000+ employees More details on our awards & recognition and about us at https://www.aziro.com/company/about-us/ & https://www.aziro.com/company/awards-and-recognition/ ISO Certification & Security Commitment: We are ISO 27001:2022 certified, demonstrating our commitment to the highest standards of information security management for both our employees and clients Pls find the JD below for your reference. Please share your updated CV along with your acknowledgement to proceed further. Key Responsibilities: Develop robust and efficient Python applications integrating AI/ML models. Build, train, and deploy machine learning models using libraries like Scikit-learn, TensorFlow, or PyTorch. Use Azure AI services (e.g., Azure Machine Learning, Cognitive Services, Azure Databricks) for model training, deployment, and monitoring. Design and implement end-to-end ML pipelines on Azure ML Workspace. Work on data ingestion, cleaning, transformation, and feature engineering using Python and Azure Data Factory. Deploy APIs and microservices using Flask, FastAPI, or Azure Functions. Collaborate with data scientists, ML engineers, and DevOps teams to build cloud-native AI solutions. Maintain code quality, performance, and scalability in cloud-based applications. Required Skills: 4+ years of Python programming experience, with a focus on data processing and AI/ML. Strong understanding of machine learning algorithms and techniques (supervised/unsupervised learning, NLP, etc.). Hands-on experience with Microsoft Azure Experience with ML frameworks: Scikit-learn, TensorFlow, Keras, PyTorch. Experience with cloud deployment and containerization tools: Docker, Kubernetes (AKS optional). Good knowledge of data pipelines using Pandas, NumPy, PySpark, or Azure Data Factory. Familiarity with version control (Git) and CI/CD pipelines Notice Period: Immediate Joiners to Quick Joiners(30 - 45 days max) Preferred
Job Description: 5 +yrs of exp Required Qualifications : - Minimum 5 years of hands-on Workday experience across multiple modules. strong functional knowledge in Workday HCM, Compensation, Integrations, Payroll, and Security. - Proven experience with Workday integration tools: EIB, Workday Studio, Core Connectors, and APIs. - Expertise in Workday security model, including domain security policies and role assignments. - Advanced skills in report writing, calculated fields, and supporting data structures. - Deep understanding of business processes related to global HR, compensation, and payroll. - Strong analytical and problem-solving abilities with attention to detail. - Effective communication skills and the ability to work independently and in teams. Preferred Qualifications: - Workday certification in HCM, Integrations, Compensation, or Security. - Experience working in a global environment with complex organizational structures. - Familiarity with Agile methodologies and sprint-based configuration delivery. - Prior experience supporting Workday release management and change control. --------------------------------- Primary Skills (Must-have) : Workday Integrations, Advance Compensation, Benefits, Payroll, Core HCM. Secondary Skills (Good-to-have): Performance Management, Security Configurations
Mandatory Skills: Python Testing Strong knowledge in Python . Hands on experience in Linux. Should be very strong in understanding the test case and automate the test steps adhering to the framework and development practices. Ability to write scripts and tools for development and debugging. Seeking a skilled Python Automation Engineer with hands-on experience in Selenium and API automation Proficiency in Object-Oriented Programming is a must. Additionally, familiarity with Linux. Should demonstrate self-drive, Effective communication and proactive Skills: Strong knowledge of Python, including libraries such as unittest, pytest, requests, and os. Good experience in Virtualisation and Linux. Requirements Good experience in Storage Testing. Experience with FC, SAN, NAS, SCSi, iScsi, RAID. Ability to triage storage product failures going through logs and traces to quickly identify which components causing the failures.. Familiarity with Agile software development and QA processes, principles, and Techniques. Ability to work independently and as a member of global project teams. Experience in Cloud Technologies is an added advantage. Experience in server testing and strong in storage concepts. Should be able to Lead few of the activities within like test plan creation, execution schedule creation, reporting status to management etc. Should have done similar work on designing test strategies for Cloud applications in past.
Role & responsibilities What You Will Be Doing: Work on innovative products for our on-prem as well as SaaS offerings areas and lead the test effort of one or more features. Work with the engineering team during the feature design and implementation phases to develop: the test methodology (designing the test approach) to test the feature end-to-end. test plans. Collaborate with other testing members, developers, technical writers, and customer solutions engineers to ensure the company delivers high quality products to our customers. Execute multiple iterations of the test plan by running manual and automated test cases. Analyze failures and root cause issues, file defects, follow up with developers, documentation and other teams on the resolution. Automate test cases. Monitor and manage continuous integration environments. Mentor team members. Preferred candidate profile 5+ years experience with Python Automation/testing systems products (storage, networking, virtualization, etc.) Prior experience of programming, preferably in Python. Experience in SAN Functionalities Have a high bar for the quality of the product. Creative, independent, self-motivated and willing to learn new technology. Possess good understanding of QA methodologies and processes. Ability to take up a variety of roles in a startup environment. Excellent troubleshooting abilities spanning multiple software and hardware components (such as switches, storage systems, kernels). Good knowledge of Linux and should be comfortable with shell. Knowledge of one or more Hypervisors - ESXi, HyperV, KVM. Experience with distributed systems (databases, storage, map-reduce frameworks, etc.) is a plus. Strong test planning ability is a big plus. Domain knowledge in one or more of the following areas: Data Protection, Filesystem, Cloud, SaaS, Platform