Network Architecture Jobs in Ahmedabad

Job Title: Sr. Python / AI-ML Developer Location: Ahmedabad Experience: 3+ Years Qualification: Graduate in any discipline About Us: At Bytes Technolab, we strive to foster innovation through a robust digital infrastructure and a dynamic work environment. Our goal has always been to empower our developers with cutting-edge tools and technologies, enabling them to deliver world-class software solutions to startups, enterprises, and everything in between. We are looking for a highly skilled and driven Sr. Python / AI-ML Developer to join our expanding AI/ML team. If you're passionate about solving complex problems with intelligent solutions, we d love to hear from you. Key Responsibilities: Develop, train, and optimize machine learning and deep learning models using Python and its ML/AI ecosystem (NumPy, Pandas, scikit-learn, etc.). Work with leading ML/AI frameworks such as PyTorch, TensorFlow, Keras, OpenCV, and FaceNet. Leverage GPU acceleration (CUDA, cuDNN) for deep learning development and optimization. Design and implement solutions in computer vision, natural language processing (NLP), and neural networks. Work with large language models (LLMs) like GPT, BERT, and LLaMA, including tasks such as fine-tuning, embedding-based retrieval (RAG), and prompt engineering. Develop agentic AI systems using frameworks like LangChain, AutoGPT, BabyAGI, and custom orchestration pipelines. Translate complex business requirements into scalable AI/ML solutions. Deploy models on cloud platforms (AWS SageMaker, Azure ML, or Google AI Platform). Build and manage robust ETL pipelines, handle data preprocessing, and perform feature engineering. Implement MLOps workflows using tools such as MLflow, Kubeflow, or TensorFlow Extended (TFX). Containerize and orchestrate scalable deployments using Docker and Kubernetes. Manage model evaluation, A/B testing, continuous training pipelines, and CI/CD for ML systems. Work closely in Agile/Scrum teams and contribute to collaborative solution design. Ensure AI solutions adhere to ethical principles, and are fair, interpretable, and secure. Required Skills & Qualifications: 3+ years of professional experience in AI/ML model development and deployment. Expertise in Python and relevant libraries for AI/ML and data science. Strong grasp of neural networks, computer vision, and NLP fundamentals. Experience working with LLMs and agent-based architectures. Proficiency in cloud-based ML deployment and automation. Solid experience with containerization (Docker) and orchestration (Kubernetes). Strong problem-solving and analytical skills. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. Familiarity with data versioning (DVC, Delta Lake) and continuous model delivery. Understanding of responsible AI practices including fairness and bias mitigation. Work on cutting-edge technologies in a high-growth, collaborative environment. Opportunity to lead AI/ML projects from ideation to production. Exposure to real-world applications of LLMs, MLOps, and agentic systems. Learn and grow with a passionate team of engineers, innovators, and thinkers.

Job Title: AI/ML Developer Experience: 2-3 Years Positions: 2 Location: Rajkot, Gujarat Job Type: Full-Time Job Overview: We are looking for skilled and motivated AI/ML Developers with 2-3 years of experience to join our innovative team in Rajkot. The ideal candidates will have a strong background in building AI and machine learning solutions, leveraging deep learning, natural language processing, and generative AI technologies to drive business value and product excellence. Key Responsibilities: Develop and deploy AI/ML models using programming languages like Python, C++, R, or Scala. Build and optimize machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, scikit-learn, Spark MLlib, OpenCV, nltk, transformers, and LangChain. Apply deep learning, computer vision, NLP, and generative AI techniques to solve complex problems. Work with Large Language Models (LLMs) including training on custom datasets and integrating third-party APIs like OpenAI API. Perform data preprocessing, feature engineering, exploratory data analysis (EDA), model selection, hyperparameter tuning, and model evaluation. Analyze and visualize data, creating dashboards and visual aids to support decision-making. Utilize SQL and NoSQL databases such as MySQL, PostgreSQL, and MongoDB for data storage and retrieval. Collaborate with cross-functional teams in an Agile environment and adopt DevOps practices for continuous integration and deployment. Stay updated with emerging AI/ML trends and technologies, implementing them into products and services. Communicate technical concepts effectively to stakeholders. Participate in designing scalable AI/ML solutions and contribute to the overall architecture. Bonus skills: Experience with Python web frameworks (Django, Flask, FastAPI), ML Ops, and cloud platforms. Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or related fields. Minimum 2 years of professional experience in AI/ML development. Strong programming skills in Python, C++, R, or Scala. Hands-on experience with machine learning libraries and frameworks. Solid understanding of machine learning algorithms: supervised, unsupervised, and reinforcement learning. Knowledge of LLMs, generative AI models, and integration of AI APIs. Experience in data preprocessing, feature engineering, model tuning, and evaluation. Good grasp of SQL and NoSQL databases. Strong analytical, problem-solving, and communication skills. Experience with Agile methodologies and DevOps is a plus. Personal Attributes: Eager learner with a passion for AI/ML innovations. Proactive, self-motivated, and able to work independently or as part of a team. Excellent collaboration and stakeholder management skills. Opportunity to work on cutting-edge AI/ML projects. Collaborative work environment in Rajkot fostering innovation. Continuous learning and professional growth opportunities. Apply now to be part of our AI-driven future and contribute to building intelligent solutions that make an impact! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or related fields.

Job Title: Blockchain Developer Location: Ahmedabad, India Job Type: Full-Time Key Responsibilities: Design, develop, and deploy smart contracts using Solidity and Hyperledger Fabric. Write clean, scalable, and secure code using JavaScript, Node.js, and Python. Develop and integrate RESTful APIs using JSON for Blockchain applications. Implement solutions using Distributed Ledger Technology (DLT) and contribute to the broader Blockchain ecosystem. Collaborate in an Agile and DevOps environment to deliver high-quality software solutions. Ensure strong architectural understanding of scripting languages, Blockchain frameworks, and decentralized technologies. Work on advanced Blockchain concepts including Mining, Hashing, P2P Networking, and Elliptic Curve Cryptography (ECC). Participate in the full project lifecycle, from planning to deployment and post-launch support. Communicate effectively with stakeholders and project managers for technical consulting and reporting. Preferred Skills & Technologies: Experience with smart contract development tools (Truffle, Hardhat, etc.). Familiarity with Ethereum, Solidity, and Hyperledger Fabric. Hands-on experience with Docker and Kubernetes (a plus). Strong understanding of Blockchain infrastructure, architecture, and security principles. Work on cutting-edge Blockchain projects. Be a part of a forward-thinking and collaborative tech team. Grow your career with ongoing learning and development opportunities.

Job Title: DevOps Lead Multi-Cloud Expert (AWS, Azure, GCP) Location: Ahmedabad, India We are seeking an experienced DevOps Lead with strong expertise across AWS, Azure, and Google Cloud Platform (GCP) to lead our cloud infrastructure and automation initiatives. This leadership role requires deep technical skills, proven project management experience, and the ability to mentor a growing DevOps team in delivering scalable, secure, and efficient cloud solutions. Key Responsibilities: Collaborate with cross-functional teams to design, build, and deploy solutions using serverless architectures, microservices, IaaS, PaaS, and containerization in multi-cloud environments (AWS, Azure, GCP). Develop reusable, parameterized Infrastructure as Code (IaC) templates for automated provisioning using Terraform and/or CloudFormation. Architect and manage end-to-end CI/CD pipelines leveraging native cloud tools such as AWS CodeBuild, CodeDeploy, CodePipeline, Azure DevOps, and Google Cloud Build. Integrate third-party tools like SonarQube into CI/CD workflows to enhance code quality and security. Perform configuration management using tools like Ansible and automate processes via scripting in PowerShell, Bash, or Python. Administer both Windows and Linux systems within cloud environments to ensure robust operations. Install, configure, and maintain DevOps tools across multiple cloud platforms ensuring smooth and reliable deployments. Required Skills & Experience: 8+ years of senior-level experience in DevOps, Cloud Engineering, or related roles with deep expertise in AWS, Azure, and GCP. Proven leadership skills with experience mentoring and managing DevOps teams. Advanced knowledge of containerization and orchestration tools including Docker and Kubernetes (K8s). Strong hands-on experience with Terraform and other Infrastructure as Code tools. Expertise in building and managing CI/CD pipelines using cloud-native services. In-depth understanding of Cloud Networking concepts, including VPCs, Network Security Groups (NSGs), DNS, and Routing. Solid knowledge of both Linux and Windows operating systems, including endpoint security best practices. Ability to diagnose, troubleshoot, and provide strategic solutions for complex cloud infrastructure and application issues. Excellent communication skills for client interaction, team collaboration, and translating technical concepts for non-technical stakeholders. Lead high-impact cloud and DevOps initiatives across diverse multi-cloud platforms. Work with cutting-edge technologies in a collaborative, innovative environment. Mentor and grow a talented team of DevOps professionals.

Job Title: Blockchain Developer Experience: 2+ Years Key Responsibilities: Experience with Smart contract development tools is a plus. Strong background in Javascript, Python & Node.js. Experience in writing programs in scripting languages and deep understanding of its architecture. Strong understanding of REST/JSON based API development and integration. Hands-on technical exposure in implementing Blockchain technologies (Ethereum and Hyperledger Familiarity with Hyperledger Fabric and Solidity). Understanding of Distributed Ledger technology, Blockchain, ecosystem and structure. Experience working in an Agile and DevOps environment. Knowledge on Mining, Hashing, Elliptic Curve Cryptography (ECC) and P2P Networking. Extensive experience with progression of major projects from the planning stage through to implementation and completion. Effective communicator to all stakeholders and management during project consulting and analysis. Experience in Docker and Kubernetes is a plus.

System Engineer - L4 Location: Ahmedabad, India Company: Wipro Limited Company Overview Wipro Limited is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. Job Description Key Responsibilities Excellent communication skills to handle irate customers and pacify them effectively. Technical knowledge in troubleshooting base operating system issues and eagerness to learn new technologies. Troubleshoot Windows, Outlook, Teams, Citrix, VDI, VPN, Security Apps, etc., over remote support. Answer incoming calls and respond to customer emails in a timely manner. Manage and resolve customer complaints efficiently. Identify and escalate issues to supervisors when needed. Provide product and service information to customers. Research required information using available resources and offer solutions to customers. Research, identify, and resolve customer complaints using applicable software. Route calls and tickets to appropriate resources and domains who can best support the user. Document all call information according to standard operating procedures. Recognize, document, and alert the management team of trends in customer calls. Create SOPs for new issues and resolutions provided. Complete call logs and reports. About Wipro Wipro is building a modern digital transformation business with bold ambitions. Join a team that values reinvention of yourself, your career, and your skills. Wipro is a place that empowers you to design your own career reinvention, evolve, and grow. Applications from people with disabilities are explicitly welcome.

AI Developer Key Responsibilities: AI Development & Integration: Develop and enhance AI-driven solutions using platforms such as Claude.ai, Perplexity.ai, and other Anthropics-powered tools. Integrate AI features into EdTech platforms, supporting personalized learning, adaptive content, and intelligent tutoring systems. EdTech Solutions Development: Design AI applications tailored for the education sector, including virtual tutors, automated assessments, and recommendation engines. Collaborate with educators and curriculum designers to align AI functionalities with educational objectives. Model Training & Fine-Tuning: Train and fine-tune large language models (LLMs) to ensure they meet the specific needs of the education sector. Apply transfer learning to adapt general-purpose models for educational applications. AI Tool Utilization: Utilize Claude.ai, Perplexity.ai, and other emerging Anthropics technologies to develop interactive learning solutions and data-driven insights. Experiment with new AI features to continuously enhance platform capabilities. Research & Innovation: Stay updated on AI and EdTech trends to implement cutting-edge solutions. Conduct research to identify how advanced AI tools can address educational challenges and improve learning outcomes. Collaboration & Stakeholder Engagement: Work closely with product managers, UX designers, and other development teams to deliver AI-powered features for EdTech platforms. Communicate complex AI concepts to both technical and non-technical stakeholders in a clear and concise manner. Requirements: Education: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus. Technical Skills: Extensive experience with Claude.ai, Perplexity.ai, and other Anthropics systems. Strong proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, and Hugging Face. Solid understanding of natural language processing (NLP), transformer-based models, and large language models (LLMs). Experience with API integrations and deploying AI/ML models in production environments. EdTech Experience: Proven track record of developing AI solutions for educational platforms. Familiarity with challenges in EdTech, including data privacy (e.g., FERPA, GDPR), accessibility, and scalability. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills to explain AI concepts to both technical and non-technical audiences. Collaborative mindset with a passion for leveraging AI to improve education. Preferred Experience: Experience with adaptive learning systems, gamification, or AI-powered chatbots in education. Familiarity with cloud platforms such as AWS, GCP, or Azure. Experience working on projects that involve real-time AI integrations. Qualification : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is a plus.

Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Position: Senior Engineer/Technical Lead (DevOps Engineer - Azure) Job Description: Key Responsibilities: Azure Cloud Management: Design, deploy, and manage Azure cloud environments. Ensure optimal performance, scalability, and security of cloud resources using services like Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure App Services, Azure Functions, Azure Storage, and Azure SQL Database. Automation & Configuration Management: Use Ansible for configuration management and automation of infrastructure tasks. Implement Infrastructure as Code (IaC) using Azure Resource Manager (ARM) templates or Terraform. Containerization: Implement and manage Docker containers. Develop and maintain Dockerfiles and container orchestration strategies with Azure Kubernetes Service (AKS) or Azure Container Instances. Server Administration: Administer and manage Linux servers. Perform routine maintenance, updates, and troubleshooting. Scripting: Develop and maintain Shell scripts to automate routine tasks and processes. Helm Charts: Create and manage Helm charts for deploying and managing applications on Kubernetes clusters. Monitoring & Alerting: Implement and configure Prometheus and Grafana for monitoring and visualization of metrics. Use Azure Monitor and Azure Application Insights for comprehensive monitoring, logging, and diagnostics. Networking: Configure and manage Azure networking components such as Virtual Networks, Network Security Groups (NSGs), Azure Load Balancer, and Azure Application Gateway. Security & Compliance: Implement and manage Azure Security Center and Azure Policy to ensure compliance and security best practices. Required Skills and Qualifications: Experience: 5+ years of experience in cloud operations, with a focus on Azure. Azure Expertise: In-depth knowledge of Azure services, including Azure Virtual Machines, Azure Kubernetes Service, Azure App Services, Azure Functions, Azure Storage, Azure SQL Database, Azure Monitor, Azure Application Insights, and Azure Security Center. Automation Tools: Proficiency in Ansible for configuration management and automation. Experience with Infrastructure as Code (IaC) tools like ARM templates or Terraform. Containerization: Hands-on experience with Docker for containerization and container management. Linux Administration: Solid experience in Linux server administration, including installation, configuration, and troubleshooting. Scripting: Strong Shell scripting skills for automation and task management. Helm Charts: Experience with Helm charts for Kubernetes deployments. Monitoring Tools: Familiarity with Prometheus and Grafana for metrics collection and visualization. Networking: Experience with Azure networking components and configurations. Problem-Solving: Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues. Communication: Excellent communication skills, both written and verbal, with the ability to work effectively in a team environment. Preferred Qualifications: Certifications: Azure certifications (e.g., Azure Administrator Associate, Azure Solutions Architect) are a plus. Additional Tools: Experience with other cloud platforms (AWS, GCP) or tools (Kubernetes, Terraform) is beneficial. Location: IN-GJ-Ahmedabad, India-Ognaj (eInfochips) Time Type: Full time Job Category: Engineering Services "

Job Title: AI/ML Engineer Location: Ahmedabad, India Job Type: Full-time Job Overview: As a progressive company deeply invested in artificial intelligence, we hold innovation as a guiding principle. In line with our commitment to advancing this domain, we're searching for a seasoned Machine Learning Engineer to refine our existing systems and architect new AI models. This role will involve a rich blend of tasks, including collaborating intensively with stakeholders and domain specialists to help develop AI models capable of tackling intricate business problems. Key Responsibilities: Collaborate with Cross-functional Teams: Work closely with domain experts, data scientists, and software engineers to develop and implement machine learning models and algorithms that solve business problems. Data Analysis and Insights: Analyze large, complex datasets to extract actionable insights, identify patterns, and improve the performance of machine learning models. ML Pipeline Development: Develop and maintain end-to-end machine learning pipelines, including data preprocessing, feature extraction, model training, and evaluation. Model Deployment and Monitoring: Deploy machine learning models into production environments, monitor their performance, and ensure their continued effectiveness. Stay Current with Advancements: Keep up to date with the latest industry advancements in machine learning and artificial intelligence. Apply relevant techniques and technologies to continuously improve existing models and systems. Contribute to Best Practices: Contribute to the development of best practices, guidelines, and standards for machine learning engineering within the organization. Write Clean Code: Maintain high-quality, maintainable, and efficient code that adheres to industry best practices. Required Qualifications: Education: Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence. Experience: 3+ years of experience as a Machine Learning Engineer or in a similar role. Programming Skills: Advanced skills in programming languages such as Python, Rust, and related frameworks. Machine Learning Frameworks: Hands-on experience with machine learning frameworks such as PyTorch and libraries like NumPy, Pandas, or Keras. Problem-Solving: Excellent problem-solving and analytical skills, with the ability to approach complex challenges with a clear and effective strategy. Collaboration and Communication: Strong communication and collaboration abilities, with the capacity to work well in cross-functional teams. Independence: Ability to work independently when needed, demonstrating initiative and accountability. Preferred Qualifications: Microservices and Containerization: Experience with microservices architecture, Docker, Kubernetes, and Linux. Big Data Tools: Experience with big data processing tools (e.g., Hadoop, Spark) and data storage systems (e.g., SQL, NoSQL). Technical Design Skills: Demonstrated technical design, problem-solving, coding, and debugging skills. Distributed Systems: Experience with distributed systems design and implementation. Innovation: Be part of a team that is shaping the future of artificial intelligence. Career Growth: Continuous learning and growth opportunities in the AI/ML domain. Impact: Work on real-world projects that drive meaningful business outcomes. Dynamic Environment: Thrive in a fast-paced, innovative environment that encourages creativity and collaboration. If you are passionate about AI/ML, have the skills to develop cutting-edge solutions, and are eager to work with a talented team, we d love to have you onboard at Rapidops! Qualification : Tertiary degree in Computer Science, Software Engineering, or a related field, with a focus on machine learning or artificial intelligence.

Company Description XcelTec is an enterprise solutions provider based in Ahmedabad, specializing in Microsoft technology, E-Commerce, Mobile Commerce, Mobile Development, and Open Source Technology. Serving clients primarily in the USA, Australia, and Europe, XcelTec is committed to delivering innovative solutions that meet client needs, with a focus on transparency, satisfaction, and integrity. Job Brief We are seeking an experienced SEO and Digital Marketing (DM) Manager to oversee all search engine optimization and digital marketing activities. You will manage SEO strategies including content planning, link building, and keyword optimization to boost rankings across major search networks. Additionally, you will manage SEM campaigns across Google, LinkedIn, and social media platforms. Designation: Team Lead SEO Specialist Experience: 4 to 5 years Location: Ahmedabad Number of Openings: 1 Roles and Responsibilities Demonstrate proven expertise in Technical SEO. Lead and mentor the SEO team to ensure the successful execution of SEO strategies. Oversee On-Page, Off-Page, Content Writing, and Social Media Marketing initiatives. Track, report, and analyze website analytics, PPC campaigns, and overall digital marketing performance. Manage campaign budgets, estimate costs, and reconcile discrepancies. Optimize website copy and landing pages for better search engine marketing performance. Perform continuous keyword discovery, expansion, and optimization. Research and implement recommendations for search engine optimization. Analyze and monitor competitor advertising and link-building strategies. Develop and implement a comprehensive link-building strategy. Collaborate with the development team to ensure SEO best practices are integrated into new website code. Work with editorial and marketing teams to enhance SEO efforts in content creation and planning. Recommend changes to website architecture, content, and linking to improve SEO rankings for target keywords. Manage SEM campaigns across Google, LinkedIn, and social media platforms. Understand performance marketing, conversion optimization, and online customer acquisition strategies. Utilize website analytics tools (e.g., Google Analytics, Net Insight, Omniture) to drive performance improvements. Use bid management tools (e.g., Click Equations, Marin, Kenshoo) for efficient SEM management. Conduct A/B and multivariate testing to optimize marketing efforts. Stay up-to-date with the latest trends and best practices in SEO and SEM. Qualifications 4-5 years of hands-on experience in SEO and SEM. Proven experience leading a team and managing digital marketing campaigns. In-depth knowledge of SEO, including technical SEO, content strategy, link building, and keyword optimization. Solid understanding of PPC campaigns, bid management tools, and performance marketing. Familiarity with website analytics tools such as Google Analytics, Omniture, or Web Trends. Experience with A/B testing and multivariate experiments. Knowledge of search engine algorithms and ranking factors. Up-to-date with the latest SEO and SEM best practices and trends.

Responsibilities: Develop and maintain the architectural design of our SaaS products, ensuring they are scalable, reliable, and performant. Work closely with engineering teams to implement architectural designs correctly and meet business requirements. Provide guidance and best practices on system design, coding standards, and technology choices. Create and maintain comprehensive architectural documentation and diagrams. Analyze and optimize system performance, identifying and addressing bottlenecks. Troubleshoot and resolve complex technical issues related to system design and integration. Stay up-to-date with industry trends and emerging technologies, recommending improvements to enhance system capabilities. Qualifications: Minimum of 2 years of experience as a System Architect or in a similar role, with a focus on SaaS applications. Proficiency in designing and implementing scalable systems using modern technologies and frameworks; experience with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus. Strong coding skills in one or more languages commonly used in SaaS development (e.g., Java, Python, C#). Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. Strong analytical and problem-solving abilities, with a track record of addressing complex system issues.

Requirements: Good knowledge of Python with a minimum of 2+ years of experience. Strong understanding of various Python libraries, APIs, and toolkits. Experience or understanding of working in Web 3.0. Proficient in Django, Django REST Framework, and Flask framework. Understanding of AWS Serverless implementation using Lambda and API Gateway. Hands-on experience with databases like MySQL and PostgreSQL. Proficient in NoSQL document databases, especially MongoDB and Redis. Strong knowledge of Data Structures and Algorithms. Thorough understanding of version control system concepts, especially Git. Understanding of the whole web stack and how all the pieces fit together (front-end, database, network layer, etc.) and their impact on application performance. Excellent understanding of MVC and OOP; bonus for understanding prevalent design patterns. Excellent debugging and optimization skills. Job Responsibilities: Build robust, scalable, and maintainable applications. Debug, fix bugs, identify performance issues, and improve app performance. Continuously discover, evaluate, and implement new technologies to maximize development efficiency. Handle complex technical issues related to web app development and discuss solutions with the team. Develop, deploy, and maintain multistage, multi-tier applications. Write high-performing code and participate in key architectural decisions. Execute projects and interact with clients. Implement Scrum methodologies.

Responsibilities: Backend Development: Collaborate with the design and front-end development teams to create and maintain WordPress websites with efficient and clean backend code. Develop custom themes and plugins, as well as modify existing ones, to meet project requirements. WordPress Configuration: Install and configure WordPress on servers, ensuring optimal performance, security, and scalability. Set up and manage databases, server-side settings, and caching mechanisms for improved site speed and user experience. API Integration: Integrate third-party APIs and services, such as payment gateways, social media platforms, CRM systems, and analytics tools, into WordPress websites. Ensure seamless data flow and functionality between WordPress and external systems. Performance Optimization: Identify and address performance bottlenecks, code inefficiencies, and database optimization to enhance website speed and overall performance. Implement caching mechanisms, content delivery networks (CDNs), and other techniques to optimize page load times. Security and Maintenance: Implement robust security measures to protect WordPress websites from vulnerabilities, malware, and hacking attempts. Perform regular updates, backups, and maintenance tasks to ensure website stability and reliability. Troubleshooting and Bug Fixing: Investigate and resolve technical issues, bugs, and errors that may arise in WordPress websites. Conduct thorough testing and debugging to identify the root cause and implement effective solutions. Collaboration and Documentation: Work closely with cross-functional teams, including designers, front-end developers, and project managers, to ensure effective communication and collaboration throughout the development process. Document and maintain technical specifications, code documentation, and version control. Required Skills: Proven Experience: Minimum 1 years of professional experience as a WordPress Backend Developer, with a strong portfolio demonstrating successful WordPress projects and customizations. Strong Technical Skills: Proficiency in PHP, MySQL, JavaScript, HTML, CSS, and other relevant web technologies. In-depth knowledge of WordPress architecture, APIs, and coding standards. Familiarity with popular WordPress plugins and frameworks. Customization and Theme Development: Solid experience in developing custom WordPress themes and plugins from scratch. Ability to extensively customize plugins & themes. Must know the core PHP & Oops concept. API Integration: Demonstrated expertise in integrating third-party APIs and services into WordPress websites. Experience with RESTful APIs, OAuth, and data synchronization between different systems. Performance Optimization: Experience optimizing WordPress websites for speed, scalability, and efficiency. Familiarity with caching mechanisms, CDNs, and performance testing tools. Security and Maintenance: Strong understanding of WordPress security best practices, including user authentication, data encryption, and vulnerability scanning. Experience in performing updates, backups, and regular maintenance tasks. Problem-Solving Skills: Analytical mindset with the ability to identify and resolve technical issues, bugs, and errors. Strong troubleshooting and debugging skills. Communication and Collaboration: Excellent teamwork and communication skills. Ability to collaborate effectively with cross-functional teams and stakeholders. Strong documentation and version control practices. If you are a passionate WordPress Backend Developer with a deep understanding of WordPress development, excellent problem-solving skills, and a drive for delivering high-quality solutions, we would love to hear from you. Join our team and contribute to building exceptional WordPress websites that delight our clients and users. Qualification : Bachelors degree, CS or IT

Job Description We are looking for a highly skilled AI Engineer with expertise in Large Language Models (LLMs), machine learning, data engineering, and product development. The ideal candidate will drive the development of intelligent, scalable, and ethical AI solutions while leveraging cutting-edge technologies to solve complex challenges. Required Qualifications Expertise in LLMs, machine learning, and data engineering. Knowledge of transformer architectures and deep learning models like CNNs and RNNs. Strong in Python and JavaScript; familiarity with C++ and Java is a plus. Experience with TensorFlow, PyTorch, and Keras for AI model development. Proficient in building scalable data pipelines and performing data preprocessing. Familiarity with AWS, Google Cloud, or Azure for scalable deployments. Understanding of CI/CD practices for automating AI workflows. Awareness of AI ethics, including bias mitigation and fairness principles. Strong analytical and problem-solving skills with adaptability to new technologies. Roles and Responsibilities Develop and fine-tune LLMs for tasks like retrieval-augmented generation (RAG). Build and deploy machine learning models using frameworks like TensorFlow, PyTorch, and Keras. Create scalable data pipelines using Apache Spark, Hadoop, and SQL. Conduct data preprocessing, including cleaning, transformation, and feature engineering. Leverage agentic frameworks such as LangGraph, CrewAI, and AutoGen to design advanced AI workflows. Deploy AI models on cloud platforms (AWS, Google Cloud, Azure) and implement CI/CD practices. Develop generative models like GANs for synthetic data generation and analysis. Ensure ethical AI design by mitigating bias and promoting fairness. Troubleshoot and optimize AI systems for performance and scalability.

Job Title: Network Engineer (Cisco) Role Overview: The Network Engineer is responsible for carrying out updates to the service lifecycle, configuring IT systems, executing changes, drafting documentation, and monitoring IT services. The role demands expertise in various Cisco network devices and services, troubleshooting, and network maintenance for high-performance and availability. Key Responsibilities Carry out recommended updates to the service lifecycle, including patching and point releases upgrades. Configure IT systems and execute basic changes while following standard operating procedures and change/release management policies. Draft technical and end-user documentation for specific IT services or sets of services. Monitor specific IT services for availability and performance, reporting anomalies through predefined processes. Expert in various Cisco network devices and services (routers, switches, MPLS, SolarWinds, Umbrella, BRG, firewall, load balancers, VPN, VoIP/Call Manager). Installation, configuration, and troubleshooting experience with Cisco devices. Experience in Voice, WAN, Wireless & Site Networks. Perform network maintenance and system upgrades, including service packs, patches, hot fixes, and security configurations. Monitor system resource utilization, trending, and capacity planning. Problem-solving skills to resolve network-related issues. Manage telecommunications network including LAN, WAN, MPLS, and SONET environments. Support SSL VPN, Firewall, and Network Switches. Hands-on experience in installing, configuring, and troubleshooting Cisco routers, Palo Alto Firewalls, switches, load balancers, and network access controllers. Represent network operations function for all change management-related queries. Experience in using network management tools for performance tuning, troubleshooting, and capacity planning. Specific Knowledge In-depth understanding of and experience with Firewall LAN/WAN, routing, switches including BGP, Meraki, MPLS, VPN, Solarwinds, Umbrella, BRG, and EIGRP. Advanced experience with routers, switches, and LAN/WAN equipment. Knowledge and working experience with Wireless Infrastructure. Familiarity with network monitoring and diagnostic tools. Advanced troubleshooting skills in LAN/WAN/Wireless infrastructure. Escalation point of contact for all Network Technologies. Skills Ability to work independently, as a technical resource, and as a key participant in a team environment. Independent, persistent, and results-oriented individual able to contribute ideas and opinions for sound solutions. Comfortable working with minimal supervision/guidance and dealing with ambiguity. Excellent time management and organizational skills, able to manage multiple concurrent projects. Excellent English communication and presentation skills, both written and verbal. Experience in handling critical incidents and providing solutions in pressure situations. Familiarity with ticketing systems. Ability to grasp and understand new technology trends and concepts. Certifications CCNA, CCNP, PCNSA or PCNSE certification required.

Roles and Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven track record of success in leading Data architecture projects and teams. Excellent communication, collaboration, and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Responsibilities Developing and maintaining all server-side network components. Ensuring optimal performance of the central database and responsiveness to front-end requests. Collaborating with front-end developers on the integration of elements. Designing customer-facing UI and back-end services for various business processes. Developing high-performance applications by writing testable, reusable, and efficient code. Implementing effective security protocols, data protection measures, and storage solutions. Running diagnostic tests, repairing defects, and providing technical support. Documenting Node.js processes, including database schemas, as well as preparing reports. Recommending and implementing improvements to processes and technologies. Keeping informed of advancements in the field of Node.js development. Experience should include Bachelor s degree in computer science, information science, or similar. At least two years experience as a Node.js developer. Extensive knowledge of JavaScript, web stacks, libraries, and frameworks. Knowledge of front-end technologies such as HTML5 and CSS3. Superb interpersonal, communication, and collaboration skills. Exceptional analytical and problem-solving aptitude. Great organizational and time management skills. Availability to resolve urgent web application issues outside of business hours. About Company Sufalamtech is a full-fledged IT service driven company providing precision Web Development and Mobile Development services which ultimately results in the development of state-of-the-art Software Development solutions to our customers.

Roles and responsibilities : We are looking for a skilled Hardware and Network Engineer to join our IT team. The ideal candidate will have hands-on experience with hardware troubleshooting, network configuration, and server setup. This role involves maintaining the IT infrastructure, ensuring seamless connectivity, and supporting our team with hardware and networking needs. Key Responsibilities: 1. Infrastructure Maintenance and Support: Maintain and support IT infrastructure, including servers, desktops, and networking hardware. Conduct regular maintenance checks and troubleshoot hardware issues as they arise. Ensure timely upgrades and replacements of hardware components to maintain optimal performance. 2. Network Configuration and Management: Configure, install, and manage network devices such as routers, switches, and firewalls. Monitor network performance, troubleshoot connectivity issues, and ensure secure and efficient data transfer. Set up and manage LAN/WAN and wireless networks, ensuring a reliable and secure network environment. 3. Server Setup and Administration: Set up, configure, and maintain company servers to ensure secure and stable operations. Monitor server health, backup data, and restore systems as needed. Perform regular updates and apply patches to ensure security and functionality. 4. Technical Support and Troubleshooting: Provide technical support for end-users, assisting with hardware, software, and network-related issues. Conduct diagnostics to identify and resolve system failures, network disruptions, and hardware malfunctions. Document issues and resolutions, providing feedback for continuous improvement. 5. Documentation and Reporting: Maintain accurate records of network configurations, hardware inventory, and system upgrades. Prepare reports on system performance, network usage, and troubleshooting actions taken. Requirements: 6. Bachelor s degree in related field (or equivalent experience). 7. Minimum 1 year of experience in hardware troubleshooting, network configuration, and server setup. 8. Strong knowledge of networking concepts, including LAN/WAN, IP addressing, DHCP, DNS, and network security. 9. Proficiency in configuring and managing servers. 10. Familiarity with hardware components, network devices, and diagnostic tools. Preferred Qualifications: 11. Experience with network management tools and monitoring software. 12. Basic knowledge of virtualization technologies is a plus. 13. Strong problem-solving skills and ability to work independently. Perks and Benefits: Healthy & Flexible Work Environment All Saturdays Off (5 Days Working) Performance based Incentive & employee friendly policies Attractive Awards, Festival Celebrations, Picnic, Birthday Celebrations etc. Unlimited opportunity to grow.

Description The Technical Lead for AI/ML plays a critical role in driving the technical direction and execution of artificial intelligence and machine learning projects within the organization. This position combines strong technical expertise in AI/ML with leadership skills to guide a team of engineers and data scientists in developing innovative AI/ML solutions. The Technical Lead will collaborate closely with cross-functional teams to translate business requirements into technical designs and drive the successful implementation, testing and deployment of AI/ML models and systems. Responsibilities 1. AI/ML Model Training and Development Lead the development of new AI Models from scratch and fine-tuning existing base models with new data Implement and execute model evaluation experiments to test and pick the best model for a certain task Build high throughput and automated data pipelines to allow Data analysis and model training Lead feature engineering to select the most relevant features in datasets to train models on Pick the right set of evaluation metric to test model candidates for deployment Use MLOps principles to allow continuous model tuning and performance improvements 2. AI/ML Model Deployment: Lead the deployment of AI/ML models into production environments, ensuring scalability, reliability, and performance. Implement best practices for model versioning, monitoring, and maintenance to ensure ongoing model accuracy and effectiveness. Collaborate with DevOps and infrastructure teams to integrate AI/ML components into CI/CD pipelines and automated deployment processes. Implement CI/CD practices for AI/ML development, including automated testing, code review processes, and continuous integration pipelines. Automate deployment processes for AI/ML models using tools such as Jenkins, GitLab CI/CD, or similar platforms. 3. Technology Expertise: Demonstrate deep expertise in AI/ML technologies, including TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Stay current with advancements in AI/ML research and technologies, evaluating their applicability to the organization's needs and projects. 4. Architecture and Design: Design and implement architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Collaborate with data engineers to ensure the availability, quality, and reliability of data sources for AI/ML model training and deployment. 5. Python Development: Utilize Python programming for AI/ML model development, automation scripts, and development of supporting tools and utilities. Collaborate with software engineering teams to integrate AI/ML capabilities into software applications and services. Requirements Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field. Extensive experience (5+ years) in AI/ML development, with a focus on deploying models into production environments. Strong proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, NumPy, Pandas and familiarity with platforms such as OpenAI, Hugging Face, Perplexity AI and Anthropic. Experience building architectures around AI/ML solutions, including data pipelines, model serving infrastructure, and integration with existing systems. Hands-on experience with CI/CD practices and tools, with a strong understanding of software development lifecycle processes. Proficiency in Python programming and experience with relevant libraries and frameworks for AI/ML development. Experience of Python Pandas and similar languages is a must Worked on pre-processing pipelines ensuring security compliances standards are met Excellent communication skills and the ability to collaborate effectively with cross-functional teams. Strong problem-solving abilities and a passion for innovation and continuous improvement in AI/ML deployment practices. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.