Company Description OvalEdge is a cost-effective data governance suite and data catalog that enables analysts to discover data and deliver powerful insights quickly. The platform combines data catalog, self-service ETL, and collaboration tools into one easy-to-use platform for understanding trends and gaining deeper perspectives. Role Description This is a full-time on-site role in Hyderabad for a Technical Writer at OvalEdge. We seek a highly-skilled Technical Writer to join our team and take ownership of documenting product release notes and functionality. The ideal candidate will excel at simplifying complex concepts, testing features, and creating clear, user-friendly documentation. Key Responsibilities Release Notes Write comprehensive and clear product release notes covering new features, enhancements, bug fixes, and migration issues. Use tools like Google Docs and GitBooks to manage and publish and Functionality Documentation : Provide detailed explanations of new features, supported by examples, flowcharts, and screenshots using Snag It. Update existing documentation with enhancements and create "how-to" guides outlining features, business use cases, and step-by-step and Integration Guides : Develop installation documents for Virtual Machines, Containers, and Cloud environments across Windows and Linux platforms. Create integration and configuration guides for systems like Google, Microsoft, Slack, Tomcat, MySQL, MariaDB, Java, and Documentation : Write comprehensive API documentation, including endpoint descriptions, request and response formats, authentication details, and usage Reports : Prepare performance and vulnerability reports for significant releases, highlighting key metrics and security Help : Write concise, context-sensitive help content for the application's features, screens, and fields, ensuring users get relevant information and Testing : Collaborate with product managers, developers, and QA teams to understand features and requirements. Test features to ensure accurate documentation. Required Skills And Qualifications Language Proficiency : Strong command of English with excellent grammar and the ability to simplify complex concepts. Technical Knowledge : Familiarity with databases, data governance principles, and related Tool Proficiency : Experience using Google Docs, GitBooks for content management, and Snag It for visual Documentation Expertise : Proven ability to create user-friendly installation, integration, and configuration Analytical Skills : Ability to testing and understanding software features to provide accurate Collaboration Skills : Strong communication and collaboration abilities, working effectively with cross functional teams. Preferred Experience Familiarity with creating documentation for Cloud environments, Virtual Machines, and Containers. Understanding of configuration and integration processes for systems like Tomcat, MySQL, and Elasticsearch. Experience writing performance and vulnerability reports. Qualifications Background Master's in marketing and Bachelors degree in Computer Science, Information Technology, or a related field. Experience : 810 years of hands-on experience in IT Product Organizations (ref:hirist.tech)
The Associate Director Customer Support is a leadership role responsible for guiding and optimizing customer service operations. This position plays a vital role in shaping strategic direction, driving operational excellence, and ensuring consistently high-quality customer experiences. Serving as a key liaison between frontline support teams and Product teams, the Associate Director ensures that critical customer issues and escalations are effectively communicated and resolved, helping to drive product improvements and operational alignment with customer needs. Responsibilities GCS Customer Operations: Establish and implement a strong customer support ticket management process using JSM with clear SLAs, Account mapping, and workflows. Track Metrics related to Customer engagement, Tickets closure SLAs Ticket Ageing, SLA adherence, release information by customer etc. Create Dashboards for Senior Leadership visibility. Identify Churn risk customers, create action plans to avoid the churn. Implement strategies to improve key metrics such as customer satisfaction, Response & Resolution time SLAs,. Operationalise the shift model and set clear objectives for shift transition and monitoring. Track and monitor the managed services contracts to ensure seamless support throughout the engagement. Review & Track weekly status reports to be sent to key customers. Team Leadership And Management Provide strong leadership, mentorship, and guidance to customer support teams, including Support Leads and Managers. Review accounts regularly with Technical Account Managers to track the customer engagement & health. Foster a collaborative and customer-centric culture that empowers employees to deliver outstanding support. Manage and coach customer support representatives, providing guidance, training, and feedback to enhance their skills and performance. Set operational goals, KPIs, support engineers, and monitor performance metrics. Identify key strategic accounts and work closely with TAMs to increase customer adaption & experience. Process Improvement And Quality Assurance Identify process gaps and inefficiencies within operations and implement continuous improvement initiatives. Develop and maintain quality assurance programs to ensure consistent delivery of high-quality customer interactions. Develop an efficient process for capturing customer requirements effectively and provide the inputs to product teams. Develop repeatable processes for smooth customer migrations to new releases. Work closely with product & engineering teams to create customer communication artifacts. Cross-Functional Collaboration Collaborate with cross-functional teams (Product, Engineering , DevOps etc.,) to address customer issues, requests and enhance the overall customer experience. Work closely with the PM & Release teams to ensure we meet customer commitments. Partner with Operations Leadership in identifying and recommending opportunities and solutions to formalize processes and procedures. Build strong relationships with internal departments to align customer support operations with overall company goals. Work closely with sales for all managed services engagements & churn risk customers. Qualifications And Requirements Education and Experience: Overall 10 years of experience with a Bachelor's degree. At least 6-8 years of experience in customer support, operations, or support roles, with 3+ years in a leadership capacity, including managing cross-functional teams/groups. Experience in client relationship management and Customer Support operations management. Experience with workforce management, training, and quality assurance is an asset. Skills And Competencies Exceptional and effective communication skills (oral and written) with an approach that builds and nurtures strong relationships. Strong analytical, problem-solving, and project management abilities. Detail-oriented team player attitude with creative problem-solving skills. Ability to work both independently and in a team setting within a fast-paced environment. Exceptional time management, organizational, and prioritization skills. Proficiency with the JIRA Service Management tool for Customer Support. In-depth knowledge of customer support best practices, metrics, and quality standards. Ability to effectively present information to groups of managers, clients, and customers. (ref:iimjobs.com) Show more Show less
Company Description OvalEdge is a cost-effective data governance suite and data catalog that enables analysts to discover data and deliver powerful insights quickly. The platform combines data catalog, self-service ETL, and collaboration tools into one easy-to-use platform for understanding trends and gaining deeper perspectives. Role Description This is a full-time on-site role in Hyderabad for a Technical Writer at OvalEdge. We seek a highly-skilled Technical Writer to join our team and take ownership of documenting product release notes and functionality. The ideal candidate will excel at simplifying complex concepts, testing features, and creating clear, user-friendly documentation. Key Responsibilities Release Notes Write comprehensive and clear product release notes covering new features, enhancements, bug fixes, and migration issues. Use tools like Google Docs and GitBooks to manage and publish and Functionality Documentation : Provide detailed explanations of new features, supported by examples, flowcharts, and screenshots using Snag It. Update existing documentation with enhancements and create "how-to" guides outlining features, business use cases, and step-by-step and Integration Guides : Develop installation documents for Virtual Machines, Containers, and Cloud environments across Windows and Linux platforms. Create integration and configuration guides for systems like Google, Microsoft, Slack, Tomcat, MySQL, MariaDB, Java, and Documentation : Write comprehensive API documentation, including endpoint descriptions, request and response formats, authentication details, and usage Reports : Prepare performance and vulnerability reports for significant releases, highlighting key metrics and security Help : Write concise, context-sensitive help content for the application's features, screens, and fields, ensuring users get relevant information and Testing : Collaborate with product managers, developers, and QA teams to understand features and requirements. Test features to ensure accurate documentation. Required Skills And Qualifications Language Proficiency : Strong command of English with excellent grammar and the ability to simplify complex concepts. Technical Knowledge : Familiarity with databases, data governance principles, and related Tool Proficiency : Experience using Google Docs, GitBooks for content management, and Snag It for visual Documentation Expertise : Proven ability to create user-friendly installation, integration, and configuration Analytical Skills : Ability to testing and understanding software features to provide accurate Collaboration Skills : Strong communication and collaboration abilities, working effectively with cross functional teams. Preferred Experience Familiarity with creating documentation for Cloud environments, Virtual Machines, and Containers. Understanding of configuration and integration processes for systems like Tomcat, MySQL, and Elasticsearch. Experience writing performance and vulnerability reports. Qualifications Background Master's in marketing and Bachelors degree in Computer Science, Information Technology, or a related field. Experience : 810 years of hands-on experience in IT Product Organizations (ref:hirist.tech) Show more Show less
As a Technical Writer at OvalEdge, you will play a crucial role in documenting product release notes and functionality. Your responsibilities will include: - Writing comprehensive product release notes covering new features, enhancements, bug fixes, and migration issues. You will utilize tools like Google Docs and GitBooks for managing and publishing. - Providing detailed explanations of new features with examples, flowcharts, and screenshots using tools like Snag It. You will also update existing documentation with enhancements and create "how-to" guides outlining features and business use cases. - Developing installation documents for Virtual Machines, Containers, and Cloud environments across Windows and Linux platforms. You will also create integration and configuration guides for systems like Google, Microsoft, Slack, Tomcat, MySQL, and MariaDB. - Writing comprehensive API documentation, including endpoint descriptions, request and response formats, authentication details, and usage reports. You will also prepare performance and vulnerability reports for significant releases, highlighting key metrics and security. - Crafting concise, context-sensitive help content for the application's features, screens, and fields to ensure users receive relevant information. You will collaborate closely with product managers, developers, and QA teams to understand features and requirements, as well as test features to ensure accurate documentation. Required Skills and Qualifications: - Strong command of English with excellent grammar and the ability to simplify complex concepts. - Familiarity with databases, data governance principles, and related technical knowledge. - Experience using Google Docs, GitBooks for content management, and Snag It for visual documentation. - Proven ability to create user-friendly installation, integration, and configuration guides. - Ability to test and understand software features to provide accurate documentation. - Strong communication and collaboration abilities, working effectively with cross-functional teams. Qualifications Background: - Master's in marketing and Bachelor's degree in Computer Science, Information Technology, or a related field. - 8-10 years of hands-on experience in IT Product Organizations.,
About OvalEdge OvalEdge is a leading Data Governance and Data Catalog platform empowering organizations to discover, manage, and democratize their data with confidence. Our mission is to make data governance simple, collaborative, and impactful — enabling enterprises to unlock actual business value from their data. As we continue to scale, we are looking for a visionary Director, QA Engineering to lead our Quality function and ensure that every OvalEdge release stands for excellence, reliability, and trust. About the Role OvalEdge is seeking a Director of Quality Assurance to lead the next phase of our product quality transformation. Our platform powers enterprise-grade Data Governance , connecting to a wide variety of data sources and delivering deep metadata, lineage, and discovery capabilities. As Director of QA, you’ll take ownership of a complex, high-variability testing landscape — where every customer deployment can look different, with unique data connectors, lineage scenarios, and environment dependencies. You’ll drive quality from the ground up: modernizing automation, stabilizing releases, and inspiring engineering excellence across the organization. If you thrive on solving tough problems, love bringing structure to chaos, and want to make a measurable impact on product reliability and customer trust — this is the role for you. Key Responsibilities 1. QA Strategy & Leadership Define and execute a transformative QA vision and roadmap aligned with OvalEdge’s product and customer goals. Build, mentor, and lead a world-class QA team across functional, automation, and performance testing disciplines. Instil a “Quality-first, Engineering-owned” mindset across product and development teams. Collaborate closely with Engineering leadership to address technical debt, weak unit testing practices, and process gaps that affect product stability. Champion initiatives that make quality measurable, visible, and repeatable across all releases. 2. Quality Engineering & Automation Architect and evolve automation frameworks for UI, API, and backend testing using modern tools (e.g., Playwright, Selenium, RestAssured, Cypress). Develop a progressive automation roadmap , prioritizing high-impact regression areas and data connector validation. Partner with DevOps to integrate quality gates into CI/CD pipelines, enabling continuous testing and faster feedback loops. Introduce innovative solutions for data lineage testing , ensuring accuracy across complex metadata relationships and customer environments. Ensure automation and manual testing strategies adapt to varied customer deployments, on-premise or cloud. 3. Process Excellence & Release Quality Establish standardized QA processes , entry/exit criteria, and release readiness checklists across all product lines. Drive release quality ownership by collaborating with Engineering, Product, and DevOps to identify and resolve high-risk areas early. Implement root cause analysis (RCA) for recurring defects and embed preventive measures upstream. Improve unit testing coverage, code review rigor , and developer accountability to minimize post-release defects. Create predictable, data-driven release cycles with clear go/no-go gates. 4. Quality Analytics & Continuous Improvement Define and track quality KPIs (e.g., defect leakage, automation coverage, test execution velocity, release stability). Build real-time dashboards that provide visibility into product health and release readiness. Leverage insights from production issues and customer-reported defects to continuously refine test coverage and automation. Use metrics to drive conversations, set priorities, and demonstrate progress in quality maturity. 5. Cross-functional Collaboration & Customer Focus Work closely with Engineering, Product Management, and Customer Success to proactively identify quality risks and incorporate customer feedback into QA strategy. Partner with implementation teams to validate configurations, connectors, and upgrades in customer environments. Lead initiatives to replicate or simulate customer environments for testing complex lineage and integration scenarios. Serve as the voice of quality in customer conversations, ensuring release confidence and customer trust. Requirements Experience: 12+ years in Software Quality Assurance, with at least 4+ years in a QA leadership role (managing managers and teams across multiple QA disciplines). Domain Knowledge: Prior experience with Data Governance, Data Integration, or Metadata Management platforms is highly preferred. Technical Depth: Proven experience designing and scaling automation frameworks for UI, API, and backend systems. Hands-on understanding of test automation tools (Playwright, Selenium, RestAssured, Cypress, Postman) and scripting languages (Python, Java, or JavaScript). Familiarity with data validation , ETL testing, and working with SQL and NoSQL data sources. DevOps & CI/CD Integration: Strong knowledge of CI/CD pipelines (Jenkins, GitLab CI, Azure DevOps, etc.) and embedding automated quality gates . Process Leadership: Demonstrated success driving QA process transformation in complex or legacy product environments. Analytical Skills: Ability to define, measure, and act on data-driven quality metrics to improve product and process outcomes. Problem Solving: Creative, out-of-the-box thinker capable of tackling challenges like environment variability , data lineage testing , and connector-level validation . Collaboration: Strong cross-functional communicator who can partner effectively with Product, Engineering, DevOps, and Customer teams. Mindset: Strategic yet hands-on; capable of balancing long-term vision with immediate stabilization needs. Education: Bachelor’s degree in Computer Science, Engineering, or a related field. A Master’s degree or equivalent technical leadership experience is a plus. What Success Looks Like Dramatic reduction in defect leakage and regression issues. Automation integrated into CI/CD with measurable coverage gains. Stabilized release cycles and improved customer confidence. Repeatable frameworks for validating connectors, lineage, and data quality across diverse deployments. A high-performing QA organization known for creativity, rigor, and impact. Why Join OvalEdge Join a rapidly growing Data Governance leader impacting global enterprises. Shape and scale the QA vision in a high-impact leadership role. Work with passionate teams that value collaboration, innovation, and ownership . A culture that celebrates learning, transparency, and quality at every level.
About OvalEdge OvalEdge is a modern Data Governance and Intelligence company helping enterprises build a strong foundation for Governance and responsible AI. As AI adoption accelerates across industries, our platform ensures organizations can trust their data—governing it for quality, privacy, access, and compliance, and thereby helping organizations make smarter, faster, and safer decisions. With offices in the US and India, and a fast-growing global footprint, we’re on a mission to democratize data governance and make it actionable for every team. If you're excited about building intelligent products that drive real business impact, OvalEdge is the place to grow your product career. Main purpose of the Job: This role focuses on responding to customer queries, troubleshooting basic product issues, and ensuring customers have a smooth experience with the platform. The role involves leveraging technical expertise to diagnose, troubleshoot, and resolve customer challenges while collaborating with cross-functional teams to enhance the overall customer experience. Job Golas: Technical Issue Resolution: Provide prompt, accurate, and effective solutions for customer-reported technical issues, meeting or exceeding established SLAs. Customer Satisfaction: Ensure high levels of customer satisfaction (e.g., CSAT scores) by delivering exceptional service and support experiences. Knowledge Sharing: Develop and maintain technical documentation, FAQs, and best practices to enhance the knowledge base for internal teams and customers. Collaboration: Work closely with the Technical Account Manager, engineering teams, and other stakeholders to escalate and resolve complex issues efficiently. Continuous Improvement: Identify recurring technical challenges and contribute to the development of long-term solutions, including process improvements and product enhancements. Skill Development: Continuously improve technical expertise by staying updated on product features, technologies, and industry best practices. Support Metrics: Achieve or exceed individual performance metrics, such as ticket resolution time, first-response rate, and customer feedback scores. Job Specification: Educational Qualifications: B.Tech, B.C.A, B.SC, M.C.A, M.Tech Required Experience: 0-2 Years Required Competence: Basic Technical Troubleshooting ● Ability to identify, diagnose, and resolve common technical issues reported by customers. ● Familiarity with logs, error messages, and system behavior to troubleshoot effectively. ● Capability to replicate and analyze reported issues to determine root causes. Product Knowledge ● Developing a foundational understanding of the product’s features, architecture, and functionality. ● Providing guidance to customers on product usage and best practices. ● Identifying potential misconfigurations or user errors and offering corrective advice. Documentation Development: ● Creating and updating basic technical documentation, FAQs, and user guides. ● Maintaining records of resolved issues to enhance the knowledge base. ● Logging common customer inquiries and solutions for internal reference. Systems and Tools Proficiency: ● Using ticketing and customer relationship management (CRM) systems to manage cases (e.g., Jira, Hubspot). ● Familiarity with diagnostic tools and platforms for basic troubleshooting tasks. ● Basic understanding of command-line tools or interfaces for issue replication and debugging. Data Handling and Analysis: ● Understanding data structures and performing basic data extraction or validation. ● Using SQL or other tools for querying data to verify issues or troubleshoot discrepancies. ● Assisting in maintaining data accuracy and integrity across systems. Escalation Management: ● Knowing when and how to escalate complex issues to senior engineers or specialized teams. ● Providing detailed information and replication steps during escalation for seamless handoff. ● Maintaining communication with customers throughout the escalation process. Service-Level Agreement (SLA) Adherence: ● Ensuring timely resolution of tickets within defined SLA guidelines. ● Tracking and meeting performance metrics like first-response rate and resolution time. Customer Focus: ● Maintaining a customer-first attitude and ensuring positive experiences in every interaction. ● Empathy for customer challenges and a commitment to resolving issues promptly. ● Ensuring clear, friendly, and professional communication throughout the support process. Collaboration and Teamwork ● Coordinating with peers, senior engineers, and other teams to resolve issues. ● Sharing knowledge and insights with the team to improve collective performance. ● Supporting teammates in meeting shared goals, such as improving customer satisfaction. Communication Skills ● Explaining technical issues in simple, clear terms for customers with varying technical expertise. ● Writing detailed and professional responses to customer inquiries and issues. ● Actively listening to customers to fully understand their concerns and needs. Problem-Solving and Critical Thinking ● Analyzing customer issues to identify patterns or trends for proactive resolution. ● Breaking down complex problems into actionable steps for resolution. ● Balancing short-term fixes with long-term solutions to recurring challenges. Attention to Detail ● Ensuring accuracy in troubleshooting, documentation, and customer communication. ● Verifying that solutions provided fully address customer issues without introducing new problems. ● Carefully testing potential solutions before implementing them for customers. Professionalism ● Consistently presents themselves appropriately and demonstrates a professional attitude. ● Follows workplace norms and etiquette; responds respectfully and responsibly to colleagues and clients. ● Communicates clearly and respectfully, tailoring tone and language to the audience. ● Takes ownership of tasks, accepts responsibility for mistakes, and seeks solutions independently. ● Adapts to feedback and adjusts behavior to align with professional standards.
About OvalEdge OvalEdge is a modern Data Governance and Intelligence company helping enterprises build a strong foundation for Governance and responsible AI. As AI adoption accelerates across industries, our platform ensures organizations can trust their data—governing it for quality, privacy, access, and compliance, and thereby helping organizations make smarter, faster, and safer decisions. With offices in the US and India, and a fast-growing global footprint, we’re on a mission to democratize data governance and make it actionable for every team. If you're excited about building intelligent products that drive real business impact, OvalEdge is the place to grow your product career. About the Role This is a high-ownership, high-growth opportunity for B-school graduates who are analytical, curious, and want to break into the world of Product Management in a deep-tech setting. As an Associate Product Owner, you: Understand key concepts and implementation strategies of Data Governance Collaborate with senior product owners and cross-functional teams to define and deliver impactful product features Translate business and customer needs into feature requirements, user stories, and edge cases with clarity for engineering and QA teams. Maintain a healthy product backlog and support sprint planning and delivery. Partner with design, engineering, and customer-facing teams to drive product features and improvements Work closely with customer success and pre-sales teams to understand real-world use cases and pain points. Document change impact and support go-to-market content like release notes, training material, and walkthroughs Gain exposure to product strategy, roadmap planning, and customer discovery efforts. Contribute to the development of AI model cataloging, Data Quality, and risk classification within the data governance platform. Collaborate with the strategist and the AD to enhance the AI-assisted Data Quality Management suite. May drive user research to understand how customers manage AI/ML models and their governance needs across industries. Who You Are Final-year MBA/PGDM/PGPM student with a background or strong interest in tech, data, product, or digital strategy You enjoy solving structured and unstructured problems and can break down ambiguity. Comfortable working with engineering and business stakeholders alike Strong written and verbal communication skills, with attention to detail Curious about Data Products, Data Quality, and the Product lifecycle Understand and Leverage AI for your productivity gains Bonus if you have completed product internships or have prior experience in product management, Agentic AI, or have worked with tools such as Jira, SQL, APIs, or Figma. What makes You a great fit A product launchpad for business grads – designed to train and transition you into a full Product Owner / Manager Work closely with directors, engineers, and real users in the market Contribute to platforms trusted by leading industries, including Insurance, Consulting, Banking, Pharma, and more. Culture that values ownership, data-driven thinking, and experimentation A fast-growing company with a flat structure and real impact from Day 1 What You'll Gain Hands-on product ownership experience in solving complex and abstract problems Mentorship from experienced product leaders with backgrounds in tech and consulting Exposure to Agile, customer discovery, product ops, release cycles, and enterprise data architecture A strong foundation to become AI product Manager
About OvalEdge OvalEdge is a modern Data Governance and Intelligence company helping enterprises build a strong foundation for Governance and responsible AI. As AI adoption accelerates across industries, our platform ensures organizations can trust their data—governing it for quality, privacy, access, and compliance, and thereby helping organizations make smarter, faster, and safer decisions. With offices in the US and India, and a fast-growing global footprint, we’re on a mission to democratize data governance and make it actionable for every team. If you're excited about building intelligent products that drive real business impact, OvalEdge is the place to grow your product career. Main purpose of the Job: We are looking for a Senior Python Developer with deep expertise in AI and Machine Learning to design, build, and scale intelligent data-driven systems. This role goes beyond training models—you will work across data pipelines, ML services, APIs, and production deployments to ensure models deliver business value. You will collaborate closely with data scientists, architects, and product teams to turn algorithms into reliable, secure, and scalable platforms. Key Responsibilities: Design, develop, and maintain Python-based AI/ML applications and services. Build and optimize ML pipelines, including data ingestion, feature engineering, training, evaluation, and inference. Deploy ML models into production using REST/gRPC APIs Implement and manage LLM-based solutions (prompt engineering, embeddings, RAG pipelines, model orchestration) Optimize model performance, latency, and cost in production environments Integrate ML solutions with databases, data warehouses, and message queues Ensure model monitoring, logging, drift detection, and retraining strategies Write clean, testable, and well-documented Python code Collaborate on architecture decisions, security, and scalability best practices Mentor junior engineers and contribute to technical standards Required Skills & Qualifications Core Technical Skills Strong proficiency in Python (4+ years) Experience building and consuming APIs using FastAPI / Flask Strong SQL skills; experience with relational and NoSQL databases Experience with data processing libraries (Pandas, NumPy) Hands-on experience with Machine Learning frameworks: TensorFlow / PyTorch / Scikit-learn Solid understanding of: Supervised & unsupervised learning Model evaluation and tuning Feature engineering Academic Background Bachelor’s degree / Master’s Degree in Computer Science, Information Technology. AI / Advanced Capabilities: Practical experience with Generative AI / LLMs (OpenAI, Anthropic, HuggingFace, etc.) Experience with: Embeddings & vector databases (FAISS, Pinecone, Weaviate, Elasticsearch, etc.) Retrieval-Augmented Generation (RAG) Understanding of model lifecycle management and MLOps concepts DevOps & Cloud Experience with Docker and containerized deployments Familiarity with cloud platforms (AWS / Azure / GCP) Experience with CI/CD pipelines for ML workloads Knowledge of monitoring tools and observability for ML systems Good to Have Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI) Knowledge of distributed systems and data processing (Spark, Kafka) Exposure to security, compliance, and data governance in AI systems Experience working in enterprise-scale or SaaS platforms Contributions to open-source ML or AI projects What We Look For Strong problem-solving and analytical thinking Ability to translate business problems into ML solutions Passion for building production-grade AI , not just prototypes Clear communication and collaboration skills Curious to keep up with the fast-moving AI landscape
You will be joining OvalEdge, a modern Data Governance and Intelligence company that focuses on helping enterprises establish a solid foundation for Governance and responsible AI. The company operates with the aim of ensuring that organizations can trust their data by governing it for quality, privacy, access, and compliance, ultimately aiding organizations in making more informed, quicker, and safer decisions. In your role as a Senior Python Developer at OvalEdge, you will be utilizing your deep expertise in AI and Machine Learning to design, build, and scale intelligent data-driven systems. Your responsibilities will extend beyond model training as you work on various aspects such as data pipelines, ML services, APIs, and production deployments to ensure that the models provide tangible business value. Collaboration with data scientists, architects, and product teams will be essential to transform algorithms into reliable, secure, and scalable platforms. **Key Responsibilities:** - Design, develop, and maintain Python-based AI/ML applications and services. - Build and optimize ML pipelines, encompassing data ingestion, feature engineering, training, evaluation, and inference. - Deploy ML models into production utilizing REST/gRPC APIs. - Implement and manage LLM-based solutions, including prompt engineering, embeddings, RAG pipelines, and model orchestration. - Optimize model performance, latency, and cost in production environments. - Integrate ML solutions with databases, data warehouses, and message queues. - Ensure model monitoring, logging, drift detection, and retraining strategies. - Write clean, testable, and well-documented Python code. - Collaborate on architecture decisions, security, and scalability best practices. - Mentor junior engineers and contribute to technical standards. **Required Skills & Qualifications:** - **Core Technical Skills:** - Strong proficiency in Python (4+ years). - Experience building and consuming APIs using FastAPI / Flask. - Strong SQL skills; experience with relational and NoSQL databases. - Experience with data processing libraries (Pandas, NumPy). - **Hands-on experience with Machine Learning frameworks:** - TensorFlow / PyTorch / Scikit-learn. - **Solid understanding of:** - Supervised & unsupervised learning. - Model evaluation and tuning. - Feature engineering. - **Academic Background:** - Bachelors degree / Masters Degree in Computer Science, Information Technology. **AI / Advanced Capabilities:** - Practical experience with Generative AI / LLMs (OpenAI, Anthropic, HuggingFace, etc.). - Experience with embeddings & vector databases (FAISS, Pinecone, Weaviate, Elasticsearch, etc.). - Understanding of Retrieval-Augmented Generation (RAG). - Understanding of model lifecycle management and MLOps concepts. **DevOps & Cloud:** - Experience with Docker and containerized deployments. - Familiarity with cloud platforms (AWS / Azure / GCP). - Experience with CI/CD pipelines for ML workloads. - Knowledge of monitoring tools and observability for ML systems. **Good to Have:** - Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI). - Knowledge of distributed systems and data processing (Spark, Kafka). - Exposure to security, compliance, and data governance in AI systems. - Experience working in enterprise-scale or SaaS platforms. - Contributions to open-source ML or AI projects. If you are someone with strong problem-solving and analytical thinking skills, the ability to translate business problems into ML solutions, a passion for building production-grade AI systems, clear communication and collaboration skills, and a curiosity to stay updated with the fast-evolving AI landscape, then OvalEdge is the perfect place for you to advance your career in product development. You will be joining OvalEdge, a modern Data Governance and Intelligence company that focuses on helping enterprises establish a solid foundation for Governance and responsible AI. The company operates with the aim of ensuring that organizations can trust their data by governing it for quality, privacy, access, and compliance, ultimately aiding organizations in making more informed, quicker, and safer decisions. In your role as a Senior Python Developer at OvalEdge, you will be utilizing your deep expertise in AI and Machine Learning to design, build, and scale intelligent data-driven systems. Your responsibilities will extend beyond model training as you work on various aspects such as data pipelines, ML services, APIs, and production deployments to ensure that the models provide tangible business value. Collaboration with data scientists, architects, and product teams will be essential to transform algorithms into reliable, secure, and scalable platforms. **Key Responsibilities:** - Design, develop, and maintain Python-based AI/ML applications and services. - Build and optimize ML pipelines, encompassing data ingestion, feature engineering, training, evaluation, an
You will be joining OvalEdge, a modern Data Governance and Intelligence company focused on helping enterprises establish a solid foundation for Governance and responsible AI. As a Senior Python Developer with expertise in AI and Machine Learning, your role will involve designing, building, and scaling intelligent data-driven systems. You will work on various aspects such as data pipelines, ML services, APIs, and production deployments to ensure that the models deliver business value. Collaboration with data scientists, architects, and product teams will be key to transforming algorithms into reliable, secure, and scalable platforms. **Key Responsibilities:** - Design, develop, and maintain Python-based AI/ML applications and services. - Build and optimize ML pipelines for data ingestion, feature engineering, training, evaluation, and inference. - Deploy ML models into production using REST/gRPC APIs. - Implement and manage LLM-based solutions such as prompt engineering, embeddings, RAG pipelines, and model orchestration. - Optimize model performance, latency, and cost in production environments. - Integrate ML solutions with databases, data warehouses, and message queues. - Ensure model monitoring, logging, drift detection, and retraining strategies. - Write clean, testable, and well-documented Python code. - Collaborate on architecture decisions, security, and scalability best practices. - Mentor junior engineers and contribute to technical standards. **Required Skills & Qualifications:** - **Core Technical Skills:** - Strong proficiency in Python (4+ years). - Experience building and consuming APIs using FastAPI / Flask. - Strong SQL skills with experience in relational and NoSQL databases. - Experience with data processing libraries like Pandas and NumPy. - **Hands-on experience with Machine Learning frameworks:** - TensorFlow / PyTorch / Scikit-learn. - **Solid understanding of:** - Supervised & unsupervised learning. - Model evaluation and tuning. - Feature engineering. - **Academic Background:** - Bachelors degree / Masters Degree in Computer Science, Information Technology. - **AI / Advanced Capabilities:** - Practical experience with Generative AI / LLMs (OpenAI, Anthropic, HuggingFace, etc.). - **Experience with:** - Embeddings & vector databases (FAISS, Pinecone, Weaviate, Elasticsearch, etc.). - Retrieval-Augmented Generation (RAG). - Understanding of model lifecycle management and MLOps concepts. - **DevOps & Cloud:** - Experience with Docker and containerized deployments. - Familiarity with cloud platforms (AWS / Azure / GCP). - Experience with CI/CD pipelines for ML workloads. - Knowledge of monitoring tools and observability for ML systems. - **Good to Have:** - Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI). - Knowledge of distributed systems and data processing (Spark, Kafka). - Exposure to security, compliance, and data governance in AI systems. - Experience working in enterprise-scale or SaaS platforms. - Contributions to open-source ML or AI projects. If you are a problem-solver with strong analytical thinking, capable of translating business problems into ML solutions and have a passion for building production-grade AI, then OvalEdge is the ideal place for you to grow your product career. Your clear communication skills, collaboration abilities, and curiosity to stay updated with the dynamic AI landscape will be highly valued. You will be joining OvalEdge, a modern Data Governance and Intelligence company focused on helping enterprises establish a solid foundation for Governance and responsible AI. As a Senior Python Developer with expertise in AI and Machine Learning, your role will involve designing, building, and scaling intelligent data-driven systems. You will work on various aspects such as data pipelines, ML services, APIs, and production deployments to ensure that the models deliver business value. Collaboration with data scientists, architects, and product teams will be key to transforming algorithms into reliable, secure, and scalable platforms. **Key Responsibilities:** - Design, develop, and maintain Python-based AI/ML applications and services. - Build and optimize ML pipelines for data ingestion, feature engineering, training, evaluation, and inference. - Deploy ML models into production using REST/gRPC APIs. - Implement and manage LLM-based solutions such as prompt engineering, embeddings, RAG pipelines, and model orchestration. - Optimize model performance, latency, and cost in production environments. - Integrate ML solutions with databases, data warehouses, and message queues. - Ensure model monitoring, logging, drift detection, and retraining strategies. - Write clean, testable, and well-documented Python code. - Collaborate on architecture decisions, security, and scalability best practices. - Mentor junior engineers and contribute to technical standards. **Required Skills & Qualifications:** - **