Our focus revolves around elevating technology-driven enterprises to new heights. However, it's important to understand that our scope at Trinesis encompasses more than just software development. Our objective is to provide comprehensive assistance to startups and enterprises throughout every phase of their journey. As our Team expands, we're actively seeking new talent. Currently, we're on the lookout for a skilled Agile Business Analyst with a wealth of experience. In this role, you'll play a crucial part in steering our developers along their growth trajectories and ensuring the triumphant execution of development initiatives. Business Analysis Scrum Ceremonies Agile Requirement Gathering Jira/Confluence Responsibilities Gather, analyze, and document business requirements, use cases, workflows, and user stories. Collaborate with stakeholders to define project goals and ensure alignment throughout the development lifecycle. Prepare and maintain BRDs, FRDs, wireframes, and process flows. Act as Scrum Master to facilitate Agile ceremonies: Stand-ups, Sprint Planning, Reviews, and Retrospectives. Work closely with Product Owners to manage and refine the product backlog. Remove blockers, track team performance, and promote Agile best practices. Conduct stakeholder interviews, workshops, and GAP analysis to identify areas for improvement. Support solution design and development team hand-offs through detailed documentation and clarification. Collaborate with QA for UAT and validation of business requirements. Promote team transparency, self-organization, and continuous improvement. Must Have Bachelor’s degree in IT, Computer Science, or related field. 5+ years of Business Analysis experience with at least 2 years in an Agile/Scrum setup. Proven expertise in eliciting requirements and converting them into clear technical deliverables. Hands-on experience with tools like Jira, Confluence, MS Visio, Lucidchart, or similar. Strong skills in documentation, stakeholder communication, and process mapping. Certified Scrum Master (CSM) or equivalent Agile certification preferred. Understanding of Agile principles, SDLC, and project management best practices. Ability to handle multiple priorities in a fast-paced, client-facing environment. Excellent problem-solving, facilitation, and interpersonal skills. Key Skills Business Analysis Scrum Ceremonies Agile Requirement Gathering Jira/Confluence What's great in the job? Great team of smart people, in a friendly and open culture. Competitive salary and benefits package. Opportunity for professional growth and advancement. Dynamic and collaborative work environment. Flexible working hours and remote work options. Various learning opportunities and training programs. What We Offer Each employee has a chance to see the impact of his work. You can make a real contribution to the success of the company. Several activities are often organized all over the year, such as weekly sports sessions, team building events, monthly drink, and much more Perks A full-time position Attractive salary package. Trainings 12 days / year, including 6 of your choice. Sport Activity Play any sport with colleagues, the bill is covered. Eat & Drink Fruit, coffee and snacks provided.
Our focus revolves around elevating technology-driven enterprises to new heights. However, it's important to understand that our scope at Trinesis encompasses more than just software development. Our objective is to provide comprehensive assistance to startups and enterprises throughout every phase of their journey. As our Development Team expands, we're actively seeking new talent. Currently, we're on the lookout for a skilled Senior Java Developer with a wealth of experience. In this role, you'll play a crucial part in steering our developers along their growth trajectories and ensuring the triumphant execution of development initiatives. Java Spring Boot Microservices AWS Responsibilities Microservices Development: Design, develop, and deploy Java-based microservices using Spring Boot and Hibernate, following industry best practices and ensuring optimal performance. AWS Fargate Deployment: Leverage your Docker expertise to containerize microservices and deploy them seamlessly on AWS Fargate, managing scaling and resilience. Data Persistence: Design and implement efficient data models using Hibernate, ensuring data integrity and performance. Collaboration: Work closely with cross-functional teams (including front-end developers, QA, and DevOps) to understand requirements, refine designs, and deliver end-to-end solutions. Problem Solving: Troubleshoot and resolve production issues promptly, demonstrating strong analytical and problem-solving skills. Code Quality: Participate in code reviews and uphold high coding standards, contributing to a clean and maintainable codebase. Mentorship: Guide and mentor junior developers, sharing your knowledge and experience to help them grow. Optimize application performance and ensure responsiveness. Participate in code reviews and provide constructive feedback to team members. Stay up to date with the latest trends and technologies in Angular development. Must Have Bachelor’s degree in computer science, Engineering, or a related field. 3+ years of hands-on experience as a Java developer, with a strong focus on Spring Boot, Hibernate, and microservices architecture. Deep understanding of AWS Fargate, EC2, S3, RDS, and other relevant services. Experience in containerizing applications and deploying them on AWS Fargate using Docker. Excellent SQL skills for designing efficient database schemas and writing optimized queries. Strong grasp of core software engineering concepts like data structures, algorithms, and design patterns. Excellent problem-solving and communication skills. Ability to work effectively in a fast-paced environment and meet project deadlines. Key Skills Java Spring Boot Microservices AWS SQL What's great in the job? Great team of smart people, in a friendly and open culture. Competitive salary and benefits package. Opportunity for professional growth and advancement. Dynamic and collaborative work environment. Flexible working hours and remote work options. Various learning opportunities and training programs What We Offer Each employee has a chance to see the impact of his work. You can make a real contribution to the success of the company. Several activities are often organized all over the year, such as weekly sports sessions, team building events, monthly drink, and much more Perks A full-time position Attractive salary package. Trainings 12 days / year, including 6 of your choice. Sport Activity Play any sport with colleagues, the bill is covered. Eat & Drink Fruit, coffee and snacks provided.
Our focus revolves around elevating technology-driven enterprises to new heights. However, it's important to understand that our scope at Trinesis encompasses more than just software development. Our objective is to provide comprehensive assistance to startups and enterprises throughout every phase of their journey. As our Team expands, we're actively seeking new talent. Currently, we're on the lookout for a skilled Senior Industrial Data Scientist to lead the development of robust statistical models for manufacturing forecasting and optimization. This is a hands-on technical leadership role focused on applying proven statistical methods, time-series analysis, and industrial process knowledge to solve real manufacturing problems with measurable business impact. Data Science Machine Learning Python R SQL Responsibilities Statistical Modeling & Analytics (40%) Time-Series Forecasting : Build robust forecasting models using ARIMA, exponential smoothing, and regression methods Statistical Process Control : Implement control charts, capability analysis, and process monitoring systems Predictive Maintenance : Develop survival analysis and degradation models for equipment failure prediction Anomaly Detection : Create statistical outlier detection and control limit-based monitoring systems Model Validation : Ensure statistical rigor, hypothesis testing, and confidence intervals for all predictions Technical Leadership (35%) Define Analytics Strategy : Lead the technical approach for industrial forecasting and optimization Production Systems : Ensure models are reliable, explainable, and deployable in industrial environments Team Mentoring : Guide junior analysts and engineers in statistical methods and industrial applications Quality Assurance : Establish validation processes and accuracy benchmarks for all models Tool Selection : Choose appropriate statistical software and deployment technologies Business Impact & Domain Expertise (15%) Manufacturing Domain : Understand and model complex manufacturing processes, failure modes, and quality parameters ROI Quantification : Translate ML predictions into measurable business value (cost savings, quality improvements) Client Collaboration : Work directly with manufacturing engineers and plant managers to understand requirements Model Validation : Ensure model accuracy and reliability in real-world manufacturing environments Team Building & Operations (10%) Team Leadership : Build and lead a high-performing data science team Process Establishment : Define ML development processes, model governance, and quality standards Cross-functional Collaboration : Work closely with data engineering, software engineering, and domain experts Knowledge Sharing : Establish documentation standards and knowledge transfer processes Must Have 7+ years of hands-on experience in data science and machine learning 3+ years in leadership or senior individual contributor roles 2+ years experience with real-time ML systems or industrial applications Statistical Methods & Analytics Time-Series Analysis : ARIMA, exponential smoothing, seasonal decomposition, trend analysis, Box-Jenkins methodology Statistical Process Control : Control charts (X-bar, R, CUSUM), process capability analysis, Six Sigma methods Regression Analysis : Linear/non-linear regression, logistic regression, robust regression methods Survival Analysis : Kaplan-Meier, Cox regression, Weibull analysis for equipment failure prediction Hypothesis Testing : t-tests, ANOVA, chi-square, non-parametric tests, power analysis Industrial Statistics : DOE (Design of Experiments), response surface methodology, reliability analysis Programming & Tools Python : Advanced proficiency (pandas, numpy, scipy, statsmodels, scikit-learn) R : Statistical analysis (preferred for advanced statistical modeling) SQL : Complex queries, time-series databases (InfluxDB, TimescaleDB) Statistical Software : Experience with SAS, SPSS, Minitab, or JMP Visualization : Statistical plots, process control charts (matplotlib, ggplot2, Tableau) Industry Experience Manufacturing/Industrial : 3+ years experience with manufacturing processes, quality control, or industrial operations Statistical Applications : Applied statistics in manufacturing, process industries, or quality improvement Industrial Data : Working with sensor data, process parameters, equipment monitoring systems Quality Systems : Six Sigma, Lean Manufacturing, ISO 9001, or similar quality frameworks Key Skills Data Science Machine Learning Python R SQL What's great in the job? Great team of smart people, in a friendly and open culture. Competitive salary and benefits package. Opportunity for professional growth and advancement. Dynamic and collaborative work environment. Flexible working hours and remote work options. Various learning opportunities and training programs. What We Offer Each employee has a chance to see the impact of his work. You can make a real contribution to the success of the company. Several activities are often organized all over the year, such as weekly sports sessions, team building events, monthly drink, and much more Perks A full-time position Attractive salary package. Trainings 12 days / year, including 6 of your choice. Sport Activity Play any sport with colleagues, the bill is covered. Eat & Drink Fruit, coffee and snacks provided.