Roles & Responsibilities Design, develop, and maintain scalable and robust back-end applications. Write clean, reusable, and well-documented code following best practices. Collaborate with front-end developers, product managers, and QA teams to deliver high-quality software solutions. Participate in the full software development lifecycle from planning and design to deployment and maintenance. Debug and resolve technical issues reported in the production environment. Perform code reviews and provide constructive feedback to peers. Optimize applications for performance, security, and scalability. Stay updated with the latest industry trends, technologies, and best practices. Skills & Qualifications 35 years of proven experience in back-end software development. Strong understanding of Object-Oriented Programming (OOP) principles. Proficiency in one or more back-end programming languages such as Java, Python, Node.js, Ruby, or C#. Hands-on experience with databases (SQL/NoSQL) and writing efficient queries. Experience with version control systems like Git. Familiarity with API development (RESTful services). Strong debugging and analytical skills. Excellent teamwork and communication abilities. Bachelor's degree in Computer Science, Engineering, or a related field. Experience in the cybersecurity or security product domain is a plus. Knowledge of CI/CD tools, containerization (Docker, Kubernetes), and cloud platforms (AWS, Azure, GCP) is an added advantage. (ref:hirist.tech) Show more Show less

COMM-IT is currently looking for a highly skilled and result-oriented Angular Developer to join our dynamic team. If you are passionate about front-end development, enjoy working with modern JavaScript frameworks, and are motivated by building high-quality, scalable applications, this role might be an excellent fit for you. Below is a detailed overview of the position, required qualifications, and the expectations from the ideal candidate. Job Title : Angular Developer Experience Required : Minimum 5 Years (Including 4+ Years in AngularJS / ReactJS / VueJS) Roles And Responsibilities Translate UI/UX designs and technical requirements into high-quality code using Angular and other front-end technologies. Work closely with the design and backend teams to develop, test, and deploy responsive and interactive web/mobile applications. Apply modern front-end development practices, ensuring cross-browser compatibility and performance optimization. Collaborate with AI-based coding tools, utilizing intelligent prompts and effectively reviewing, refining, and correcting AI-generated code to meet production standards. Take initiative in identifying and addressing issues or gaps in design, functionality, or integration across components and services. Participate in code reviews, team meetings, and contribute to best practices for development and deployment. Integrate RESTful APIs and backend services, ensuring smooth and secure communication between client and server. Ensure timely delivery of project tasks while maintaining high-quality standards in coding and documentation. Technical Skills Required Angular Expertise : Strong knowledge of Angular fundamentals including modules, components, directives, services, pipes, and routing. JavaScript/TypeScript : Deep understanding of core JavaScript and TypeScript principles, with proven application in real-world projects. Front-End Technologies : Proficiency in HTML5, CSS3, SCSS, and frameworks like Bootstrap or Material Design. Experience with VueJS and ReactJS is a plus. Backend Familiarity : Exposure to backend technologies such as Node.js, Java, Python, or .NET, and ability to integrate frontend with backend logic effectively. Database Knowledge : Working knowledge of relational and non-relational databases like MongoDB, PostgreSQL, or MySQL. API Development and Integration : Hands-on experience in designing, consuming, and managing RESTful APIs. Testing and Debugging : Familiarity with unit testing frameworks and debugging tools. Knowledge of Jasmine, Karma, or similar testing libraries is beneficial. Version Control : Proficient in using Git and GitHub/GitLab for source code management and collaboration. Soft Skills & Other Requirements Strong analytical and problem-solving abilities with a detail-oriented mindset. Excellent verbal and written communication skills to effectively collaborate with internal teams and stakeholders. Self-motivated, proactive, and capable of working independently as well as in a team environment. Adaptability to work in a fast-paced, evolving tech landscape, and openness to learning new tools and technologies. At COMM-IT, we believe in fostering a culture of innovation, collaboration, and continuous learning. If you are someone who takes pride in delivering clean, efficient, and maintainable code, we would love to hear from you. (ref:hirist.tech) Show more Show less

Designation : Data Scientist Experience : 3-8 Years Location : Chennai Job Description We are seeking a skilled Data Scientist to join our team. In this role, you will leverage advanced analytics and machine learning techniques to extract actionable insights from complex datasets, driving data-informed decision-making across the organization. Key Responsibilities Data Collection & Preprocessing : Gather, clean, and preprocess structured and unstructured data from various sources to ensure high-quality datasets for analysis. Model Development : Design, develop, and deploy predictive models and machine learning algorithms to address business challenges. Data Analysis : Conduct exploratory data analysis to identify trends, patterns, and anomalies, providing insights to inform strategic decisions. Visualization & Reporting : Create compelling data visualizations and reports to effectively communicate findings to both technical and non-technical stakeholders. Collaboration : Work closely with cross-functional teams, including engineering and product development, to integrate data-driven solutions into business processes. Required Skills & Qualifications Technical Proficiency : Strong programming skills in Python or R; experience with SQL for data querying. Machine Learning Expertise : Solid understanding of machine learning algorithms and frameworks; experience with libraries such as scikit-learn, TensorFlow, or PyTorch. Statistical Analysis : Strong foundation in statistics and data analysis techniques. Data Visualization : Proficiency in tools like Tableau, Power BI, or Matplotlib for creating insightful visualizations. Preferred Qualifications Big Data Technologies : Familiarity with big data platforms like Hadoop or Spark. Cloud Platforms : Experience with cloud services such as AWS, Azure, or Google Cloud. Business Acumen : Ability to translate complex data findings into actionable business strategies. (ref:hirist.tech) Show more Show less

Designation : Backend Developer Experience : 2- 4 Years Location : Chennai Job Description We are seeking a skilled and motivated Back-End Developer to join our dynamic development team. The ideal candidate will be responsible for designing, implementing, and maintaining the server-side logic, databases, and APIs that power our applications. This role requires a strong understanding of back-end technologies, database management, and integration of front-end components to ensure seamless functionality and performance. Key Responsibilities Develop, test, and maintain robust, scalable, and secure server-side applications and APIs. Design and manage database schemas, ensuring data integrity and optimal performance. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Implement security measures and data protection protocols to safeguard sensitive information. Optimize applications for maximum speed and scalability. Troubleshoot and debug applications to resolve issues and improve functionality. Participate in code reviews, providing constructive feedback to peers. Stay updated with emerging technologies and industry trends to continuously improve existing systems. Document application workflows, architecture, and processes for future development and maintenance. Qualifications Education : Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). Experience : Proven experience as a Back-End Developer or similar role, with a strong portfolio of relevant projects. Technical Skills Proficiency in server-side programming languages such as Python, Java, Ruby, PHP, or Node.js. Strong understanding of database systems (e.g., MySQL, PostgreSQL, MongoDB) and data modeling. Experience with RESTful APIs, GraphQL, and microservices architecture. Familiarity with version control systems like Git. Knowledge of software testing and debugging procedures. Basic understanding of front-end technologies (e.g., HTML, CSS, JavaScript) for effective collaboration. Soft Skills Excellent problem-solving and analytical skills with attention to detail. Strong communication and teamwork abilities. Ability to work independently and manage multiple tasks effectively. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Knowledge of DevOps practices, including CI/CD pipelines. Exposure to advanced caching mechanisms and performance optimization techniques. Contributions to open-source projects or active participation in the developer (ref:hirist.tech) Show more Show less

Job Title : Generative AI & Automation Expert. Location : Delhi, India. Department : Technology. Reports To : Chief Technology Officer (CTO). Employment Type : Drishti IAS : 'Drishti The Vision' was founded on 1st November 1999. Since then, we have been a beacon of excellence in the field of Civil Services Examination preparation and one of the top choices for those preparing for the UPSC Civil Services Examination (CSE). Drishti IAS is dedicated to providing unwavering support and expert guidance for UPSC and State Services aspirants across multiple States/Union Territories in India. We also offer comprehensive online programs accessible through our Drishti Learning App (Android, iOS & Windows), in addition to our well-established physical classroom centers. Job Overview We are seeking a skilled Generative AI & Automation Expert to lead the development and enhancement of our AI-driven educational tools and automation infrastructure. The ideal candidate will have deep expertise in generative AI, large language models (LLMs), and workflow automation technologies, with a passion for EdTech innovation. This role involves building and maintaining AI solutions that improve learner experiences, automating content generation processes, and ensuring operational excellence through automation. Key Responsibilities AI Infrastructure Development : Design, develop, and maintain scalable AI infrastructure to support educational and operational requirements. Deploy and fine-tune local large language models (LLMs), ensuring high performance, reliability, and cost efficiency. Generative AI Features Enhance educational applications by implementing generative AI capabilities such as chatbots for real-time doubt resolution, automated quiz generation, and summarization tools. Develop automated systems to efficiently generate educational content such as test series questions and learning materials. Automation & Workflow Optimization Deploy and manage automation tools to streamline organizational workflows, improving productivity across various teams. Implement AI-driven analytical tools to evaluate sales and support interactions, providing actionable insights to management. Technical Leadership Lead and collaborate with cross-functional teams in integrating advanced AI and automation solutions. Stay current with developments in AI, LLMs, and automation tools, and incorporate industry best practices into the technology strategy. Knowledge Transfer & Documentation Create comprehensive documentation of processes, workflows, and system architectures. Provide training and mentorship to team members to foster innovation and maintain technological proficiency. Education Qualifications & Skills : Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. Experience Minimum of 5 years experience specializing in generative AI, LLMs, and automation. Proven experience developing AI solutions within EdTech or related sectors. Hands-on expertise with frameworks such as LangChain, LlamaIndex, and Hugging Face Transformers. Practical experience in deploying and fine-tuning models such as Deepseek, Mistral, or Llama. Technical Skills Strong programming proficiency in Python, FastAPI, and containerization technologies like Docker. Experience with workflow automation tools (e.g., n8n, Zapier). Knowledge of cloud services (AWS, Azure, GCP) and vector databases (Weaviate, Qdrant, Pinecone). Familiarity with MLOps practices and CI/CD pipelines is advantageous. Soft Skills Strong analytical thinking and problem-solving abilities. Excellent communication and interpersonal skills. Capacity to independently manage projects and handle multiple priorities effectively. Preferred Prior experience in the EdTech industry, particularly developing AI-driven educational tools. Familiarity with UPSC examination content and preparation processes. (ref:hirist.tech) Show more Show less

Key Responsibilities Design, build, and maintain scalable, reliable, and efficient data pipelines to support data analytics and business intelligence needs. Optimize and automate data workflows, enhancing the efficiency of data processing and reducing latency. Implement and maintain data storage solutions, ensuring that data is organized, secure, and readily accessible. Provide expertise in ETL processes, data wrangling, and data transformation techniques. Collaborate with technology teams to ensure that data engineering solutions align with overall business goals. Stay current with industry best practices and emerging technologies in data engineering, implementing improvements as : Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field. Experience with Agile methodologies and software development project : Proven experience in data engineering, with expertise in building and managing data pipelines, ETL processes, and data warehousing. Proficiency in SQL, Python, and other programming languages commonly used in data engineering. Experience with cloud platforms such as AWS, Azure, or Google Cloud, and familiarity with cloud-based data storage and processing tools (e.g., S3, Redshift, BigQuery, etc.). Good to have familiarity with big data technologies (e.g., Hadoop, Spark) and real-time data processing. Strong understanding of database management systems and data modeling techniques. Experience with BI tools like Tableau, Power BI along with ETL tools like Alteryx, or similar, and ability to work closely with analytics teams. High attention to detail and commitment to data quality and accuracy. Ability to work independently and as part of a team, with strong collaboration skills. Highly adaptive and comfortable working within a complex, fast-paced environment. (ref:hirist.tech) Show more Show less

Job Title : Machine Learning Engineer / Data Scientist (NLP & Gen AI) Location : Delhi, Mumbai, Hyderabad, Chennai Experience : 4+ years Employment Type : Full-time Job Description We are seeking a skilled Machine Learning Engineer / Data Scientist with expertise in Natural Language Processing (NLP), Data Science, and Generative AI. The ideal candidate should have hands-on experience in ML algorithm development, evaluation metrics, Python code testing, and Pandas operations. You will be responsible for designing, implementing, and optimizing AI/ML models to drive data-driven decision-making. Key Responsibilities Develop and deploy ML models, focusing on NLP and Generative AI applications. Design and evaluate ML algorithms using appropriate evaluation metrics. Optimize data pipelines and perform data preprocessing using Pandas and other Python libraries. Implement and test Python-based ML applications with a focus on code quality and performance. Conduct model training, hyperparameter tuning, and performance benchmarking. Collaborate with cross-functional teams to integrate ML solutions into real-world applications. Stay updated with the latest AI/ML advancements and implement best practices. Required Skills NLP & Generative AI : Experience with transformers, LLMs, and language modeling techniques. Machine Learning Concepts : Strong understanding of algorithms and evaluation metrics. Python Development : Expertise in code testing, debugging, and optimization. Data Science & Pandas Operations : Ability to manipulate and analyze structured/unstructured data. ML Model Deployment : Experience with model serving, API development, or cloud platforms is a plus. Version Control & CI/CD : Familiarity with Git, Docker, and ML workflow automation. Preferred Qualifications Experience with Hugging Face, TensorFlow, PyTorch, or Scikit-learn. Knowledge of LLMs, embeddings, and fine-tuning pre-trained models. Understanding of MLOps and cloud-based ML solutions (AWS, GCP, Azure). Ability to write clean, maintainable, and efficient code. (ref:hirist.tech) Show more Show less

Role : CAD Developer Job Description We are seeking a CAD Developer with expertise in AutoCAD, .NET/VBA, Oracle PL/SQL, and AutoLISP programming to develop and optimize CAD automation solutions. The ideal candidate will have hands-on experience in C# development and a strong background in database management using Oracle PL/SQL. Key Responsibilities Develop, customize, and automate AutoCAD functionalities using .NET/VBA and AutoLISP programming. Write and optimize Oracle PL/SQL queries and stored procedures for CAD-related database operations. Build CAD automation tools and applications using C# to improve efficiency and streamline workflows. Integrate CAD applications with databases to manage design files and project data. Debug, test, and maintain AutoCAD plug-ins and macros to enhance performance. Collaborate with cross-functional teams, including engineers, designers, and software developers, to understand project requirements. Ensure code quality, performance, and scalability while following best software development practices. Maintain technical documentation and provide training for internal teams. Required Skills & Qualifications Total Experience in CAD Development (Specify minimum years) Proficiency in AutoCAD customization and automation Strong programming skills in .NET (C#) and VBA Expertise in Oracle PL/SQL for database integration and data management Hands-on experience with AutoLISP programming for CAD automation Strong debugging and problem-solving skills Experience in integrating CAD software with external databases Familiarity with software development lifecycle (SDLC) and Agile methodologies Preferred Skills Knowledge of Autodesk APIs for AutoCAD customization Experience in developing CAD applications for manufacturing, architecture, or engineering domains Familiarity with Python or JavaScript for additional automation tasks (ref:hirist.tech) Show more Show less

Role Overview We are looking for a highly skilled and motivated Senior Data Scientist to join our team. In this role, you will design, develop, and implement advanced data models and algorithms that drive strategic decision-making across the organization. You will work closely with product, engineering, and business teams to uncover insights and deliver data-driven solutions that enhance the performance and scalability of our products and services. Key Responsibilities Develop, deploy, and maintain machine learning models and advanced analytics pipelines. Analyze complex datasets to identify trends, patterns, and actionable insights. Collaborate with cross-functional teams (Engineering, Product, Marketing) to define and execute data science strategies. Build and improve predictive models using supervised and unsupervised learning techniques. Translate business problems into data science projects with measurable impact. Design and conduct experiments, A/B tests, and statistical analyses to validate hypotheses and guide product development. Create dashboards and visualizations to communicate findings to technical and non-technical stakeholders. Stay up-to-date with industry trends, best practices, and emerging technologies in data science and machine learning. Ensure data quality and governance standards are maintained across all projects. Required Skills And Qualifications 68 years of hands-on experience in Data Science, Machine Learning, and Statistical Modeling. Proficiency in programming languages such as Python, R, and SQL. Strong foundation in data analysis, data wrangling, and feature engineering. Expertise in building and deploying models using tools such as scikit-learn, TensorFlow, PyTorch, or similar frameworks. Experience with big data platforms (e.g., Spark, Hadoop) and cloud services (AWS, GCP, Azure) is a plus. Deep understanding of statistical techniques including hypothesis testing, regression, and Bayesian methods. Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences. Proven track record of working on cross-functional projects and delivering data-driven solutions that impact business outcomes. Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience with NLP, computer vision, or deep learning techniques. Knowledge of data engineering principles and ETL processes. Familiarity with version control (Git), agile methodologies, and CI/CD pipelines. Contributions to open-source data science projects or publications in relevant fields. (ref:hirist.tech) Show more Show less

Job Title : Quality Assurance Engineer - Automation Location : Delhi, India (Work from Office) Experience : 3 - 5 Years About Bellurbis Bellurbis is a dynamic technology company dedicated to building innovative software products that solve real-world problems. We are committed to delivering high-quality, robust, and user-friendly solutions to our clients. Our team in Delhi fosters a collaborative and growth-oriented environment where engineers are empowered to contribute significantly to product excellence. We believe in continuous improvement and leveraging automation to enhance our development and testing processes. About The Role We are looking for a highly motivated and skilled Quality Assurance Engineer - Automation to join our growing team in Delhi. As an Automation Quality Analyst, you will play a crucial role in ensuring the top-notch quality of our software products through a blend of manual and automated testing methodologies. You will be responsible for developing, executing, and refining test cases, collaborating closely with development teams, and championing automation best practices. This role offers an excellent opportunity to not only contribute hands-on to product quality but also to mentor junior team members, analyze feedback, and drive continuous improvement in our QA processes. Key Responsibilities Test Strategy & Execution : Design, develop, and execute comprehensive manual and automated test cases to ensure the high quality, reliability, and functionality of software products. Identify, analyze, and report defects accurately, tracking them through to resolution. Automation Development Collaborate actively with the development team to understand features and identify optimal test scenarios for automation. Develop, maintain, and enhance automated test scripts and frameworks using tools like Selenium, Appium, or similar, leveraging programming languages such as Java, Python, or JavaScript. Integrate automated tests into CI/CD pipelines to facilitate continuous testing. Test Case Management & Review Review, refine, and optimize existing test cases (manual and automated) to ensure maximum test coverage, efficiency, and effectiveness across all relevant scenarios. Ensure proper documentation of test plans, test cases, and test results. Team Mentorship & Growth Mentor and guide junior QA team members, helping to enhance their technical skills, automation expertise, and overall understanding of quality assurance principles. Participate in knowledge sharing sessions and promote best practices within the QA team. Continuous Improvement Analyze QA-related feedback from internal stakeholders, clients, and end-users to identify areas for improvement in existing testing processes, tools, and methodologies. Propose and implement innovative solutions to enhance the overall quality assurance framework. Participate in sprint planning, daily stand-ups, and retrospectives, contributing to an agile development cycle. Required Skills & Qualifications Experience : Minimum of 3 to 5 years of professional experience in Quality Assurance, with a strong emphasis on both Manual and Automation testing. Test Case Management : Strong proficiency in test case creation, execution, and review processes. Automation Tools : Hands-on experience with industry-standard test automation tools and frameworks such as Selenium, Appium, or similar. Programming Languages : Familiarity and practical experience with programming languages like Java, Python, or JavaScript for writing automated tests. Version Control & CI : Knowledge of version control systems (e.g., Git) and experience with continuous integration tools (e.g., Jenkins). Problem-Solving : Strong analytical skills with the ability to identify, analyze, and resolve complex software defects. Communication : Excellent verbal and written communication skills, with the ability to collaborate effectively across cross-functional teams (development, product, etc.). What Bellurbis Offers Impactful Work : Opportunity to contribute directly to the quality and success of innovative software products. Growth Environment : A collaborative and supportive work environment that encourages continuous learning and professional development. Mentorship : A chance to mentor junior team members and grow into a more senior QA leadership role. Exposure : Work with modern testing tools and practices within an agile development framework. Work-Life Balance : Work from our Delhi office, fostering strong team cohesion. (ref:hirist.tech) Show more Show less

About Us At Contour Education, were reshaping how students learnone small group at a time. Since launching in 2020, weve helped over 6,000 students succeed in their school assessments and final exams through dynamic small-group tutoring, supported by a team of 250+ onshore and 70+ offshore staff. Our India-based offshore team has been critical in delivering high-quality academic content, operations, and tech support at scale. As we continue to grow, were investing heavily in systems automation to build a more scalable, data-driven operation that supports thousands of student journeys. Were currently transitioning from Monday.com to HubSpot as our core CRM and operations platform and were setting up our automation infrastructure from the ground up. This is your opportunity to join at the earliest stage, lay the foundation, and become the internal expert on how our platforms connect and communicate. Recognised three years in a row by the Australian Financial Review as one of Australias Fastest Growing Startups, Contour is entering its next phaseand automation is at the heart of it. Why Join Contour ? Be part of a system overhaulmigrating from Monday.com to a fully integrated HubSpot-powered ecosystem Play a foundational role in building internal automations from scratch Use cutting-edge tools like n8n, Make.com, and Zapier to drive real operational efficiency Collaborate with multiple departments including Sales, Marketing, Academics, and Operations Enjoy a fully remote setup with high autonomy and fast decision-making Help power high-impact processes that support thousands of students Role Overview As an Automation Engineer, youll be responsible for designing, implementing, and maintaining the automation workflows that connect our internal systems. Your work will directly impact our efficiency, data accuracy, and team productivity across all business units. Key Responsibilities Workflow Development : Build and maintain automation workflows using tools like n8n, Make.com, and Zapier Integrate platforms such as Google Sheets, HubSpot, Slack, and other SaaS tools CRM Transition & Integration Support the migration from Monday.com to HubSpot by setting up key automation flows Develop robust integrations using APIs and webhooks to automate CRM functions Ensure seamless data syncing between platforms Data Management & Reporting : Automate data collection, processing, and reporting workflows Create PDF generation and email dispatch systems for reporting and communications Set up automated invoicing and billing solutions System Optimisation : Monitor automation health, debug issues, and improve reliability Continuously evaluate and improve system performance and workflow efficiency Collaboration & Documentation : Work closely with cross-functional teams to understand automation needs Document all workflows and provide training to non-technical stakeholders What Were Looking For Must-Have Skills : 1to 3 years in automation, workflow engineering, or systems integration Strong hands-on experience with n8n, Make.com, and/or Zapier Familiarity with APIs, webhooks, and common data structures (JSON, CSV) Experience with Monday.com, HubSpot, Google Sheets, and document tools High attention to detail and strong problem-solving skills Self-starter who thrives in a remote-first, fast-paced environment Nice-to-Haves Basic knowledge of JavaScript or Python Experience in a cross-functional or startup environment Exposure to automation involving CRMs, LMSs, or other education platforms Perks And Benefits Competitive salary : 12 LPA Fully remote High-growth role with opportunities to expand into platform ownership Work with a low-bureaucracy, high-trust culture Collaborate with smart, supportive teammates across India and Australia Join one of Australias most exciting EdTech companies and make a real impact Apply today to build automation systems from the ground up and help shape the infrastructure behind one of Australias fastest-growing education companies. (ref:hirist.tech) Show more Show less

Job Description : Mid-Level DevOps Engineer II We are looking for a highly skilled mid-level DevOps Engineer II to join our growing DevOps team. In this role, you will be responsible for designing, implementing, and maintaining our CI/CD Pipelines, automation infrastructure, and supporting cloud-based services. You Will Work Closely With Both Development And Operations Teams To Improve The Software Development Lifecycle, Ensuring Faster, More Reliable Design and implement scalable infrastructure solutions. Automate deployment and configuration management. Monitor and optimize system performance. Collaborate with development and operations teams. Ensure security and compliance of systems. Manage CI/CD pipelines and workflows. Troubleshoot and resolve complex issues. Maintain and improve infrastructure as code practices. Mentor junior team members. Stay current with industry advancements and best practices. Qualifications Bachelor's degree in computer science or related field. 3-8 years of experience a in DevOps role. Proficiency with cloud platforms (Azure, AWS). Strong knowledge of CI/CD tools (DevOps, Jenkins, GitLab CI). Advanced scripting skills (Python, Bash). Expertise in version control systems (Git). Strong networking knowledge. Excellent problem-solving skills. Strong communication and collaboration abilities. Ability to mentor and guide junior engineers. Required Knowledge And Skills Expertise in containerization (Docker, Kubernetes). Proficiency with infrastructure as code (Terraform). Expert in setting up and maintaining CI/CD pipelines in DevOps. Expert in integrating automated test cases into CI/CD pipelines. Advanced knowledge of monitoring tools (Prometheus, Grafana). Strong understanding of agile methodologies. Advanced knowledge of security practices. (ref:hirist.tech) Show more Show less

What Youll Do Build and scale full-stack applications that drive real business impact Architect clean, maintainable code across both front-end and back-end Seamlessly integrate third-party and legacy systems into a unified tech ecosystem Optimize for speed, security, scalability, and user experience Troubleshoot complex issues and implement elegant solutions Mentor developers and advocate for engineering best practices What You Bring Hands-on experience as a full-stack developer Command over front-end tech (HTML5, CSS3, modern JavaScript frameworks) Proficiency in back-end languages like Node.js, Python, or Java Experience working with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB) Strong grasp of cloud platforms (AWS, Azure, or GCP) Proven track record of connecting complex systems into a seamless digital flow Exposure to DevOps tools : Docker, Kubernetes, CI/CD pipelines Collaborative mindset and comfort in Agile environments Bachelor's or Masters degree in Computer Science, Engineering, or related field Nice to Have (but Not Mandatory) : Experience with hospitality industry software (PMS, CRS, POS, etc.) (ref:hirist.tech) Show more Show less

Role : Engineering Manager Location : Remote Experience : 10 to 14 Years Company Type : Fast-growing AI/Data-driven the Role : We are hiring a hands-on Engineering Manager to lead engineering delivery, architecture, and release management for our AI-powered SaaS platform. Youll drive agile execution, technical design, and customer support escalations, while collaborating with product, QA, and DevOps teams. Agile Delivery & Backlog Management If you are passionate about scaling cloud-native products, reducing technical debt, and building a high-performance team this is your Responsibilities : Lead sprint planning, backlog grooming, and feature prioritization. Drive delivery of Business-as-Usual (BAU) features with strong agile execution. Monitor velocity, burndown, and sprint health Planning & CI/CD : Manage code progression from development to production. Drive release pipelines with CI/CD, security, and performance compliance. Reduce downtime risks through robust DevOps Escalations & Support : Own engineering escalations, ensuring SLA compliance and root cause resolution. Reduce customer issues through preventive measures and & Technical Leadership : Own application architecture decisions and conduct design/code reviews. Guide the team on microservices, REST APIs, and scalable system designs. Lead modernization efforts and reduce technical KPIs : Sprint Delivery : 90%+ of planned BAU items released on time. Product Stability : Reduce critical escalations by 20% QoQ. Quality : <5% defect escape rate in production. Availability : 99.9% uptime of the SaaS Qualifications : 10+ years in software development, with 3+ years in engineering management. Strong track record delivering SaaS/data platforms in agile environments. Experience with CI/CD, cloud (AWS/Azure), and secure release pipelines. Deep understanding of application architecture, microservices, and APIs. Excellent communication, mentoring, and cross-functional leadership Stack/Tools : Languages : Python, Java, JavaScript Tools : Jira, Jenkins, Confluence DevOps : CI/CD, Docker, Kubernetes (preferred) Security : Familiarity with OWASP, SOC2, performance : Startup experience with AI/Data-centric product delivery Familiarity with modern infrastructure tools : Terraform, Helm, GitOps Prior success managing customer-facing platforms with SLA/uptime requirements (ref:hirist.tech) Show more Show less

Job Description We are looking for a passionate and skilled Test Automation Engineer to join our QA team. The ideal candidate will have strong experience in designing, developing, and maintaining automation frameworks and test scripts across Web, API, and Performance testing. You will work closely with the QA and Development teams to ensure high product quality through effective and efficient test automation. Roles And Responsibilities Design and develop robust, scalable automation frameworks for Web, API, and Database testing. Develop and execute automated test scripts using tools such as Selenium, TestNG, RestAssured, and Cucumber. Implement API test automation using tools like Postman and RestAssured. Perform database validations using SQL queries as part of end-to-end testing. Integrate automated tests into CI/CD pipelines using tools such as Jenkins, GitLab CI, or equivalent. Awareness of AI-assisted development tools like GitHub Copilot is a plus. Analyze test results, identify bugs, and collaborate with developers for quick resolution. Maintain test suites and update test documentation as needed. Participate in requirement analysis and contribute to test planning and design discussions. Collaborate closely with QA and Development teams to ensure thorough test coverage and continuous quality improvements. Conduct code and script reviews to uphold automation standards and best practices. Required Skills And Qualifications 4+ years of hands-on experience in test automation. Strong knowledge of Selenium WebDriver with Java or Python. Experience in writing API tests using REST-assured, Postman, or similar tools. Proficient in SQL and experience with database testing. Experience working with Cucumber (BDD) or Citrus framework. Understanding of test automation best practices, test strategies, and QA methodologies. Familiarity with version control systems (e.g., Git) and CI tools (e.g., Jenkins). Strong analytical and problem-solving skills. (ref:hirist.tech) Show more Show less

Job Description Key Responsibilities : Design, develop, and deploy machine learning models and AI-driven applications using Python. Collaborate with data scientists, software engineers, and product managers to understand business requirements and translate them into AI solutions. Utilize AWS Bedrock and other AWS cloud services for model deployment, training, and orchestration. Manage data pipelines and ensure efficient data flow and storage, including preprocessing and feature engineering. Implement and maintain databases (SQL/NoSQL) used for storing structured and unstructured data. Optimize model performance and continuously monitor accuracy, efficiency, and scalability of deployed systems. Stay updated with the latest research, trends, and technologies in AI and machine learning. Document design processes, code, and research findings clearly and concisely. Contribute to code reviews, best practices, and technical mentorship within the Qualifications : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Strong proficiency in Python and common machine learning libraries (e.g., TensorFlow, PyTorch, Scikit learn, Hugging Face Transformers). Proven experience building, training, and deploying machine learning models in real-world applications. Hands-on experience with AWS, particularly AWS Bedrock, SageMaker, Lambda, S3, and related services. Proficient in database management, including SQL and NoSQL systems such as PostgreSQL, MySQL, MongoDB, or DynamoDB. Understanding of data structures, algorithms, and software engineering best practices. Experience with version control systems (e.g., Git) and CI/CD pipelines for machine learning projects. Excellent communication and collaboration skills. (ref:hirist.tech) Show more Show less

Omni's team is passionate about Commerce and Digital Transformation. We've been successfully delivering Commerce solutions for clients across North America, Europe, Asia, and Australia. The team has experience executing and delivering projects in B2B and B2C solutions. Job Description This is a remote position. We are seeking a Senior Data Engineer to architect and build robust, scalable, and efficient data systems that power AI and Analytics solutions. You will design end-to-end data pipelines, optimize data storage, and ensure seamless data availability for machine learning and business analytics use cases. This role demands deep engineering excellence balancing performance, reliability, security, and cost to support real-world AI applications. Key Responsibilities Architect, design, and implement high-throughput ETL/ELT pipelines for batch and real-time data processing. Build cloud-native data platforms : data lakes, data warehouses, feature stores. Work with structured, semi-structured, and unstructured data at petabyte scale. Optimize data pipelines for latency, throughput, cost-efficiency, and fault tolerance. Implement data governance, lineage, quality checks, and metadata management. Collaborate closely with Data Scientists and ML Engineers to prepare data pipelines for model training and inference. Implement streaming data architectures using Kafka, Spark Streaming, or AWS Kinesis. Automate infrastructure deployment using Terraform, CloudFormation, or Kubernetes operators. Requirements 7+ years in Data Engineering, Big Data, or Cloud Data Platform roles. Strong proficiency in Python and SQL. Deep expertise in distributed data systems (Spark, Hive, Presto, Dask). Cloud-native engineering experience (AWS, GCP, Azure) : BigQuery, Redshift, EMR, Databricks, etc. Experience designing event-driven architectures and streaming systems (Kafka, Pub/Sub, Flink). Strong background in data modeling (star schema, OLAP cubes, graph databases). Proven experience with data security, encryption, compliance standards (e.g., GDPR, HIPAA). Preferred Skills Experience in MLOps enablement : creating feature stores, versioned datasets. Familiarity with real-time analytics platforms (Clickhouse, Apache Pinot). Exposure to data observability tools like Monte Carlo, Databand, or similar. Passionate about building high-scale, resilient, and secure data systems. Excited to support AI/ML innovation with state-of-the-art data infrastructure. Obsessed with automation, scalability, and best engineering practices. (ref:hirist.tech) Show more Show less

Role : Senior QA Engineer. Summary : The Senior QA Engineer will lead the testing efforts, design test strategies, and mentor junior team members. This role ensures the highest quality of software delivery through rigorous testing and quality assurance practices. Responsibilities Lead the design and implementation of test strategies. Execute and oversee manual and automated tests. Identify, document, and track software defects. Collaborate with developers to resolve issues. Perform regression testing. Validate fixes and enhancements. Report test results and metrics. Maintain test environments. Mentor junior and mid-level QA engineers. Participate in code reviews. Drive continuous improvement initiatives. Qualifications Bachelors degree in Computer Science or related field. 5+ years of experience in software testing. Certified as ISTQB Expert level. Strong understanding of software development lifecycle. Expertise in testing methodologies. Strong analytical and problem-solving skills. Excellent communication skills. Attention to detail. Ability to lead and mentor a team. Experience with test automation tools. Required Knowledge And Skills Expertise in programming languages (eg, C#, Javascript/Python). Advanced knowledge and hands-on with test automation tools like Selenium and its integration with Cucumber in dot net framework. Experience with bug tracking tools (eg, JIRA). Strong knowledge of SQL and database concepts. Proficiency in Agile methodologies. Advanced knowledge of version control systems (eg, Git). Ability to write detailed and comprehensive test cases. Strong understanding of web technologies (eg, HTML, CSS, JavaScript). Proficiency in API testing using tools like Postman, Karate, Rest Sharp. Experience with continuous integration tools like Devops / Jenkins. Hands-on with Cross browser testing tools. Hands-on with Load Testing and Performance Testing tools. Experience writing automated unit tests in NUnit/ XUnit/ MSTest framework for dot net applications. Knowledge on Azure technologies. Technologies, Coding Languages, And Methodologies C#, JavaScript/Python. Selenium, Cucumber, Microsoft tool Playwright, JIRA. SQL. Agile, Scrum. Git. HTML, CSS, JavaScript. API testing tools (eg, Postman, Karate, Rest Sharp). DevOps/ Jenkins. Load Testing and Performance Testing tools. NUnit/ XUnit/ MSTest framework. Outcomes Ensure software meets quality standards. Identify and document defects. Collaborate effectively with the development team. Execute test cases accurately. Maintain up-to-date test documentation. Mentor junior and mid-level QA engineers. Lead continuous improvement initiatives. Support the team in achieving project deadlines. Provide clear and concise test reports. Maintain a positive and proactive attitude. (ref:hirist.tech) Show more Show less

About The Opportunity Join us in building cutting-edge AI-driven products that push the boundaries of user interaction and automation. Our Platforms Include Domain-specific chat interfaces powered by large language models (LLMs) Tools that analyze user-uploaded images and text to generate actionable insights Systems integrated with APIs such as Google Calendar, Gmail, weather, and financial services Architectures supporting real-time feedback loops, user session management, and intelligent context tracking We're looking for a skilled backend engineer who thrives in fast-paced environments and loves solving complex problems with elegant, scalable code. Key Responsibilities Design, implement, and maintain scalable and modular API services using FastAPI Build and orchestrate multi-model AI workflows (OpenAI, Claude, Gemini, Grok, etc.) Develop domain-specific business logic across verticals such as real estate, customer support, and more Integrate and transform data from diverse sources including user uploads and external APIs Implement secure, asynchronous backend logic optimized for high-performance applications Manage file storage systems (e.g., AWS S3), chat histories, and contextual interaction logs Enable chatbot customization features such as category management and prompt tuning Collect, store, and analyze user feedback and AI usage metrics Develop admin dashboards and backend tools for feature management and user control Required Skills And Experience Proficient in Python 3.8+ and asynchronous programming Hands-on experience with FastAPI for building modern backend services Solid understanding of SQLAlchemy with PostgreSQL (or equivalent ORM and RDBMS) Experience integrating LLM APIs (OpenAI, Claude, Gemini, etc.) Knowledge of API authentication and authorization (OAuth, JWT, session management) Familiarity with cloud platforms (preferably AWS), Docker, and CI/CD pipelines Experience with secure handling of image and file uploads Ability to generate PDFs/reports and maintain robust error handling, logging, and monitoring across distributed systems (ref:hirist.tech) Show more Show less

Data Engineer - Google Cloud Location : Remote, India About Us Aviato Consulting is looking for a highly skilled and motivated Data Engineer to join our expanding team. This role is ideal for someone with a deep understanding of cloud-based data solutions, with a focus on Google Cloud (GCP) and associated technologies. GCP certification is mandatory for this position to ensure the highest level of expertise and professionalism. You will work directly with clients, translating their business requirements into scalable data solutions, while providing technical expertise and guidance. Key Responsibilities Client Engagement : Work closely with clients to understand business needs, gather technical requirements, and design solutions leveraging GCP services. Data Pipeline Design & Development : Build and manage scalable data pipelines using tools such as Apache Beam, Cloud Dataflow, and Cloud Composer. Data Warehousing & Lake Solutions : Architect, implement, and optimize BigQuery-based data lakes and warehouses. Real-Time Data Processing : Implement and manage streaming data pipelines using Kafka, Pub/Sub, and similar technologies. Data Analysis & Visualization : Create insightful data dashboards and visualizations using tools like Looker, Data Studio, or Tableau. Technical Leadership & Mentorship : Provide guidance and mentorship to team members and clients, helping them leverage the full potential of Google Cloud. Required Qualifications Experience : 5+ years as a Data Engineer working with cloud-based platforms. Proven experience in Python with libraries like Pandas and NumPy. Strong understanding and experience with FastAPI for building APIs. Expertise in building data pipelines using Apache Beam, Cloud Dataflow, or similar tools. Solid knowledge of Kafka for real-time data streaming. Proficiency with BigQuery, Google Pub/Sub, and other Google Cloud services. Familiarity with Apache Hadoop for distributed data processing. Technical Skills Strong understanding of data architecture and processing techniques. Experience with big data environments and tools like Apache Hadoop. Solid understanding of ETL pipelines, data ingestion, transformation, and storage. Knowledge of data modeling, data warehousing, and big data management principles. Certifications Google Cloud certification (Professional Data Engineer, Cloud Architect) is mandatory for this role. Soft Skills Excellent English communication skills. Client-facing experience and the ability to manage client relationships effectively. Strong problem-solving skills with a results-oriented approach. Preferred Qualifications Visualization Tools : Experience with tools like Looker, Power BI, or Tableau. Benefits Competitive salary and benefits package. Opportunities to work with cutting-edge cloud technologies with large customers. Collaborative work environment that encourages learning and professional growth. A chance to work on high-impact projects for leading clients in diverse industries. If you're passionate about data engineering, cloud technologies, and solving complex data problems for clients, wed love to hear from you! (ref:hirist.tech) Show more Show less

Role : Senior DevOps Consultant About The Role We are seeking an experienced Senior DevOps Consultant to join our team of technology professionals. The ideal candidate will bring extensive expertise in DevOps practices, cloud platforms, and infrastructure automation, with a strong focus on implementing continuous integration/continuous delivery (CI/CD) pipelines and cloud-native solutions. This role requires an individual who can lead complex transformation initiatives, provide technical mentorship, and deliver high-quality solutions for our enterprise clients. Position Overview As a Senior DevOps Consultant, you will serve as a technical leader and subject matter expert for our DevOps practice. You will be responsible for designing, implementing, and optimizing DevOps strategies and toolchains, with particular emphasis on automation, infrastructure as code, and cloud-native architectures. You will work directly with clients to understand their business requirements and translate them into effective technical solutions that enhance development velocity, operational efficiency, and system reliability. Key Responsibilities Lead complex DevOps transformation initiatives and implementation projects for enterprise clients. Design and implement comprehensive CI/CD pipelines across various platforms and technologies. Develop and implement infrastructure as code solutions using tools like Terraform, Ansible, or ARM templates. Create cloud-native architectures leveraging container technologies and orchestration platforms. Provide technical mentorship and guidance to junior team members and client development teams. Develop automation solutions to streamline build, test, and deployment processes. Conduct technical assessments of existing environments and provide strategic recommendations. Create detailed technical documentation and knowledge transfer materials. Implement monitoring, observability, and security solutions within DevOps practices. Present technical concepts and solutions to client stakeholders at all levels. Stay current with DevOps methodologies, tools, and emerging technologies. Required Qualifications 7+ years of hands-on experience in IT, with at least 5 years specifically focused on DevOps practices. Advanced expertise in CI/CD tools and methodologies (e., Azure DevOps, Jenkins, GitLab CI, GitHub Actions). Strong experience with at least one major cloud platform (Azure, AWS, or GCP), preferably Azure. In-depth knowledge of infrastructure as code using tools like Terraform, ARM templates, or CloudFormation. Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes). Deep understanding of scripting and automation using PowerShell, Bash, Python, or similar languages. Experience implementing monitoring and observability solutions. Strong understanding of networking concepts and security best practices. Experience with version control systems, particularly Git-based workflows. Demonstrated experience leading DevOps transformation initiatives at enterprise scale. Excellent documentation, communication, and presentation skills. Ability to translate complex technical concepts for non-technical stakeholders. Required Certifications Microsoft Certified: DevOps Engineer Expert. Microsoft Certified: Azure Administrator Associate. Microsoft Certified: Azure Solutions Architect Expert or AWS Certified Solutions Architect. Preferred Qualifications Experience with multiple cloud platforms (Azure, AWS, GCP). Knowledge of database management and data pipeline implementations. Experience with service mesh technologies (e., Istio, Linkerd). Understanding of microservices architectures and design patterns. Experience with security scanning and DevSecOps implementation. Background in mentoring junior consultants and developing team capabilities. Experience with Site Reliability Engineering (SRE) practices. Preferred Certifications Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD). HashiCorp Certified: Terraform Associate. AWS Certified DevOps Engineer Professional (if working with AWS). Google Professional Cloud DevOps Engineer (if working with GCP). Professional Skills Exceptional problem-solving and troubleshooting abilities. Strong project management and organizational skills. Excellent verbal and written communication. Client-focused mindset with strong consulting capabilities. Ability to work both independently and as part of a team. Adaptability and willingness to learn new technologies. Strong time management and prioritization skills. (ref:hirist.tech) Show more Show less

Job Description Lead and manage client engagements focused on DevOps transformation and cloud adoption. Provide expert advisory services on Azure DevOps, infrastructure as code (primarily Terraform), CI/CD pipeline architecture, and DevSecOps strategies. Architect and implement sophisticated CI/CD pipelines to automate software delivery processes. Design and implement infrastructure as code solutions using Terraform for various cloud environments (primarily Azure). Integrate security best practices and automation into the CI/CD pipeline (DevSecOps). Translate complex technical concepts and solutions into clear and concise communication for both technical and executive stakeholders. Conduct comprehensive assessments of clients' current DevOps practices and provide strategic recommendations for improvement. Implement and configure Azure DevOps services, including Azure Repos, Azure Boards, Azure Pipelines, and Azure Artifacts. Define and implement branching strategies, build automation, release management, and environment provisioning processes. Establish and enforce DevOps best practices, standards, and governance models. Troubleshoot and resolve complex issues related to cloud infrastructure, deployment pipelines, and automation. Mentor and guide client teams on DevOps principles and practices. Stay up-to-date with the latest trends and emerging technologies in the DevOps and cloud landscape. Contribute to the development of internal knowledge base and best Required : 5+ years of advanced, hands-on experience in DevOps engineering and consulting. Expert-level proficiency in Azure DevOps services and ecosystem. Deep expertise in Infrastructure as Code (IaC), with a strong focus on Terraform. Proven ability to architect, design, and implement complex CI/CD pipelines. Strong understanding and practical experience with DevSecOps principles and implementation. Excellent communication skills with 100% English Fluency (written and verbal) a must. Demonstrated ability to present technical concepts effectively to both technical and non-technical audiences, including executive leadership. Strong problem-solving and analytical skills. Excellent client relationship management and consulting skills. Ability to lead and influence technical discussions and drive consensus. Solid understanding of cloud computing principles and architectures (primarily Azure). Experience with scripting languages (e.g., PowerShell, Bash, Python) for automation. Strong understanding of networking and security concepts in cloud environments. (ref:hirist.tech) Show more Show less

Responsibilities Quality Strategy & Planning : Define, develop, and implement comprehensive quality assurance strategies and test plans for our products and features. Test Design & Execution : Design, develop, and execute various types of tests, including functional, integration, system, regression, and performance tests. Automation Expertise : Lead the development and maintenance of robust and scalable test automation frameworks using industry-standard tools and best practices. Defect Management : Effectively identify, document, track, and manage defects throughout the software development lifecycle. Risk Assessment : Proactively identify and assess potential quality risks and propose mitigation strategies. Collaboration & Communication : Work closely with development, product, and other engineering teams to understand requirements, provide feedback, and ensure quality is integrated throughout the development process. Performance Analysis : Analyze test results, identify performance bottlenecks, and work with development teams to optimize application performance. Process Improvement : Continuously evaluate and improve our QA processes, methodologies, and tools to enhance efficiency and effectiveness. Mentorship & Guidance : Provide technical guidance and mentorship to junior quality engineers, fostering a culture of quality within the team. Metrics & Reporting : Define and track key quality metrics, and provide regular reports on test progress and quality status to stakeholders. Exploratory Testing : Conduct exploratory testing to uncover unexpected issues and ensure a high level of product polish. CI/CD Integration : Integrate automated tests seamlessly into our Continuous Integration/Continuous Delivery (CI/CD) : Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Minimum of 7 years of professional experience in software quality assurance. Strong understanding of software testing principles, methodologies, and best practices. Proven experience in designing and implementing test automation frameworks using tools like Selenium, Cypress, Playwright, or similar. Proficiency in one or more programming languages relevant for test automation (e.g., Java, Python, JavaScript, C#). Experience with API testing tools (e.g., Postman, RestAssured). Solid understanding of database concepts and experience with SQL. Experience with performance testing tools (e.g., JMeter, LoadRunner). Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps). Experience with test management tools (e.g., Jira with Xray/Zephyr). Excellent analytical, problem-solving, and debugging skills. Strong communication, collaboration, and interpersonal skills. Ability to work independently and as part of a team in a fast-paced environment (ref:hirist.tech) Show more Show less

Job Description Responsibilities : Architect and design end-to-end data solutions on Cloud Platform, focusing on data warehousing and big data platforms. Collaborate with clients, developers, and architecture teams to understand requirements and translate them into effective data solutions. Develop high-level and detailed data architecture and design documentation. Implement data management and data governance strategies, ensuring compliance with industry standards. Architect both batch and real-time data solutions, leveraging cloud native services and technologies. Design and manage data pipeline processes for historic data migration and data integration. Collaborate with business analysts to understand domain data requirements and incorporate them into the design deliverables. Drive innovation in data analytics by leveraging cutting-edge technologies and methodologies. Demonstrate excellent verbal and written communication skills to communicate complex ideas and concepts effectively. Stay updated on the latest advancements in Data Analytics, data architecture, and data management techniques. Requirements Minimum of 5 years of experience in a Data Architect role, supporting warehouse and Cloud data platforms/environments (Azure). Extensive Experience with common Azure services such as ADLS, Synapse, Databricks, Azure SQL etc. Experience on Azure services such as ADF, Polybase, Azure Stream Analytics Proven expertise in Databricks architecture, Delta Lake, Delta sharing, Unity Catalog, Data pipelines, and Spark tuning. Strong knowledge of Power BI architecture, DAX, and dashboard optimization. In-depth experience with SQL, Python, and/or PySpark. Hands-on knowledge of data governance, lineage, and cataloging tools such as Azure Purview and Unity Catalog. Experience in implementing CI/CD pipelines for data and BI components (e.g., using DevOps or GitHub). Experience on building symantec modeling in Power BI. Strong knowledge of Power BI architecture, DAX, and dashboard optimization. Strong expertise in data exploration using SQL and a deep understanding of data relationships. Extensive knowledge and implementation experience in data management, governance, and security frameworks. Proven experience in creating high-level and detailed data architecture and design documentation. Strong aptitude for business analysis to understand domain data requirements. Proficiency in Data Modeling using any Modeling tool for Conceptual, Logical, and Physical models is preferred Hands-on experience with architecting end-to-end data solutions for both batch and real-time designs. Ability to collaborate effectively with clients, developers, and architecture teams to implement enterprise-level data solutions. Familiarity with Data Fabric and Data Mesh architecture is a plus. Excellent verbal and written communication skills. (ref:hirist.tech) Show more Show less

Key Responsibilities Data Science Leadership : Utilize in-depth knowledge of data science and data analytics to architect and drive strategic initiatives across departments. Stakeholder Collaboration : Work closely with cross-functional teams to define and implement data strategies aligned with business objectives. Model Development : Design, build, and deploy predictive models and machine learning algorithms to solve complex business problems and uncover actionable insights. Integration and Implementation : Collaborate with IT and domain experts to ensure smooth integration of data science models into existing business workflows and systems. Innovation and Optimization : Continuously evaluate new data tools, methodologies, and technologies to enhance analytical capabilities and operational efficiency. Data Governance : Promote data quality, consistency, and security standards across the organization. Required Qualifications Bachelors or Masters Degree in Economics, Statistics, Data Science, or a related field. A minimum of 8 years of relevant experience in data analysis, data science, or analytics roles. At least 3 years of direct experience as a Data Scientist, preferably in enterprise or analytics lab environments. Possession of at least one recognized data science certification, such as : Certified Analytics Professional (CAP) Google Professional Data Engineer Proficiency in data visualization and storytelling tools and libraries, such as Matplotlib, Seaborn, and Tableau. Strong foundation in statistical modeling and risk analytics, with proven experience building and validating such models. Preferred Skills And Attributes Strong programming skills in Python, R, or similar languages. Experience with cloud-based analytics platforms (AWS, GCP, or Azure). Familiarity with data engineering concepts and tools (e.g., SQL, Spark, Hadoop). Excellent problem-solving, communication, and stakeholder engagement skills. Ability to manage multiple projects and mentor junior team members. (ref:hirist.tech) Show more Show less