Kripya Solutions Private Limited

Job Title - Jira Administrator Location - Chennai Experience - 5 to 7 Years Job Type - Full-Time Responsibilities: Administer and configure JIRA Data Center and Cloud instances, managing project setup, workflows, permissions, and user access. Design and optimize JIRA workflows, customizing issue types, screens, and fields to enhance system usability. Automate tasks using Script Runner Groovy and JIRA Automation Rules to streamline operations. Customize RTM Test Management for efficient test case management, execution tracking, and reporting. Manage integrations with Confluence, Bitbucket, and other tools to enable seamless collaboration. Develop custom reports and dashboards for improved project tracking and data visualization. Collaborate with cross-functional teams to define requirements, ensure alignment, and implement effective solutions. Enhance troubleshooting and problem-solving skills by identifying and resolving JIRA related issues efficiently. Technical Skills: Masters/bachelor’s degree required in Computer Science/Engineering, Software Engineering or Equivalent discipline. 5-7 years’ experience in supporting JIRA Administration Ability to communicate, written and verbal, with technical and non-technical cross functional teams. Understanding of Web Technologies (Cloud/Amazon Web Services, Jira, HTML, CSS, JavaScript, PHP, Java) Configuring & managing development & testing sandboxes Must have skills: Has demonstrated a strong ability to manage large distributed systems in Production on cloud. Brings a solid understanding of how infrastructure software components work. Has experience working in globally distributed teams. Has demonstrated ability to automate tasks using high level language. Enjoy a challenging environment, working with an incredibly talented team and shifting priorities. Learn quickly, must know when to listen, and when to take charge. Candidates can also forward the profiles to hr@kripya.com. Show more Show less

Experience: 2–3 Years Location: Chennai Department: AI ML / IoT Employment Type: Full-Time Immediate joiners Job Summary: We are seeking a skilled Data Scientist with 2 to 3 years of experience applying machine learning and data analytics to real-world challenges. In this role, you will work on high-impact projects that involve developing predictive models, analysing complex datasets, and delivering insights that support decision-making across product, engineering, and operations. You will contribute to a wide range of use cases, including predictive maintenance , process optimization , quality improvement , energy efficiency , and visual data analysis . Experience working with engineering or industrial datasets is beneficial, and a background in Mechanical Engineering is considered a strong advantage. Key Responsibilities Develop and deploy machine learning models for a variety of use cases such as predictive maintenance, quality monitoring, and operational optimization. Design and implement models using video and image data for tasks like visual inspection, object detection, defect identification, or process automation. Analyse large and complex datasets from diverse sources — including sensor data, logs, time-series, and multimedia (images/video) — to extract actionable insights. Explore and apply Generative AI techniques where applicable to enhance automation, analysis, or content generation in engineering and operational contexts. Build and maintain scalable data pipelines and ensure reliable data preprocessing, integration, and transformation for analysis. Collaborate closely with cross-functional teams including engineering, manufacturing, product, and software to identify opportunities for data-driven improvements. Present insights and model outputs through dashboards , reports, and visualizations using tools such as Power BI, Tableau, or Python libraries (e.g., Matplotlib, Plotly). Evaluate model performance, conduct A/B testing where applicable, and ensure continuous improvement of deployed solutions. Maintain best practices in code quality, documentation, and model interpretability to ensure robustness and transparency. Stay current with advances in data science, computer vision, and AI, and assess their potential application in solving business or engineering problems. Required Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, or a related quantitative field. 2 to 3 years of hands-on experience in data science, machine learning, or analytics roles. Strong proficiency in Python, with experience using libraries such as Pandas, NumPy, and Scikit-learn. Experience with deep learning frameworks like TensorFlow or PyTorch. Familiarity with computer vision libraries such as OpenCV for working with image or video data. Familiarity with Generative AI frameworks or tools (e.g., OpenAI, Hugging Face Transformers) and a basic understanding of their practical applications. Solid understanding of machine learning concepts, including model development, validation, and evaluation techniques. Proficiency in SQL and NoSQL for querying and manipulating data. Experience working with large and diverse datasets, including preprocessing, cleaning, and transformation. Strong data visualization skills using tools such as Matplotlib, Seaborn, Plotly, Power BI, or Tableau. Familiarity with version control systems like Git and collaborative coding practices. Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences. Strong problem-solving skills and a structured approach to analytical thinking. Preferred Qualifications Experience working with sensor data, time-series data, or datasets from engineering or industrial systems. Understanding of physical systems, process operations, or product lifecycle data is a plus. Familiarity with cloud platforms such as AWS, Azure, or GCP, and big data tools like Spark or Hadoop. Exposure to domains such as predictive maintenance, manufacturing analytics, or process optimization. Knowledge of IoT ecosystems is advantageous. Experience in deploying models or analytics solutions in production environments. Familiarity with MLOps practices, including model tracking, versioning, and reproducibility. Working knowledge of containerization tools like Docker is an added advantage. Why Join Us? Tackle real-world challenges at the intersection of engineering and data science , with tangible impact on products and operations. Collaborate with cross-functional teams of engineers, data scientists, and domain experts in a dynamic and supportive environment. Join a culture that values innovation, experimentation , and continuous improvement. Benefit from structured mentorship, training programs , and clear paths for career development . Enjoy competitive compensation , access to industry-leading tools, and a flexible work environment that supports work–life balance.

About Us: Greetings from Kripya Solutions! We are a dynamic and growing IT services company currently seeking a results-driven Sales Professional with an Engineering Services & Product background. This urgent hiring is for positions in various locations including Mumbai, Pune, NCR/Delhi, Bangalore, and Hyderabad. The ideal candidate should have 5-10 years of experience in sales. Preferred Experience: - Hands-on experience with Siemens products, specifically Teamcenter, NX, and other Siemens engineering solutions. - Exposure to IoT solutions and services, with familiarity in Internet of Things technologies as they apply to industrial and manufacturing settings. - Proven B2B sales expertise with a successful track record in selling to manufacturing, industrial, or digital transformation sectors. Ideal Candidate Profile: The ideal candidate should have solution selling expertise with deep knowledge in PLM (Product Lifecycle Management), MES (Manufacturing Execution Systems), Digital Twin technology, and Industry 4.0 principles. Previous experience in customer and partner relationships involving system integrators, OEMs (Original Equipment Manufacturers), or enterprise customers is preferred. Ability to independently manage sales processes, run full sales cycles autonomously, and nurture ongoing customer relationships. What the Team Offers: If you are passionate about technology-driven transformation and thrive in fast-growing, innovation-led environments, this role offers you the opportunity to join a dynamic team that is driving change in both digital and industrial domains.,