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.