Rapsodo is a Sports Technology company with offices in the USA, Singapore, Turkey & Japan. We develop sports analytics products that are data-driven, portable and easy-to-use to empower athletes at all skill levels to analyse and improve their performance. From Major League Baseball star pitchers to Golf tour players, athletes use Rapsodo technology to up their game across the world. Trusted by coaches and players from youths to professionals, Rapsodo provides real-time insights for all-time performance.

We are innovative, focused, and rapidly growing. We are continuously looking for team players who will stop at nothing to deliver state-of-the-art solutions as part of Team Rapsodo.

Key Responsibilities:

·      Product Analysis & Optimization:

o   Assist in analyzing product algorithms to identify performance trends and areas for improvements.

o   Contribute to the development and execution of testing strategies that assess algorithm and robustness under different conditions.

o   Support optimization initiatives by providing data driven insights on product performance.

·       Product Performance Monitoring & Testing

o   Help develop and maintain dashboards to track key product performance indicators(KPIs)

o   Monitor product usage and performance data in real-time, identifying trends, anomalies, and opportunities for optimization.

o   Conduct in-depth analysis of user behavior and engagement metrics to derive actionable insights.

o   Assist to develop tools, test cases and programs to automate processes during various stages of product life cycle.

o   Conduct in-office and field experiments to validate product performance and identify solutions to potential challenges.

·       Data Analysis & Insights:

o   Perform data analysis to evaluate the effectiveness of product features and algorithms, providing key insights to guide decision making.

o   Conduct root-cause analysis to identify performance bottlenecks and assisting in the development of corrective actions.

o   Collaborate with cross-functional teams to share insights and contribute to product improvement strategies.

·       Bachelor's degree in computer science, Software Engineering or AI. Advanced degrees (Master’s, PhD) a plus.

·       2+ years of experience in product analytics, performance analysis, or engineering role.

·       Strong background in working with data-driven performance metrics.

·       Proficient in data analysis tools and languages such as SQL, Python, R, or similar.

·       Experience with performance monitoring tools, A/B testing, and metrics tracking.

·       Familiarity with machine learning algorithms and their application in product optimization is a plus.

·       Strong analytical skills with the ability to analyze large datasets and derive actionable insights.

·       Experience with algorithm testing and optimization in a real-world product environment.

·       Excellent problem-solving skills and attention to detail.

·       Strong communication skills to translate complex data into clear insights for non-technical stakeholders.

·       Strong knowledge of or interest in Baseball or softball is a strong plus  

Naval Group Far East Pte Ltd

Naval Group designs, builds, integrates, provides in-service support, dismantles, and deconstructs submarine and surface ships. As an industrial contractor, designer, and overall integrator of whole warships and combat systems, it also offers a full range of services to naval bases and shipyards. We are a prime contractor, designer, and integrator of naval systems, with over 400 years of experience in naval shipbuilding. Naval Group Far East is a wholly-owned subsidiary of Naval Group SA, headquartered in France.

Job position: R&D Engineer (VHF) Intern

VHF Communication Bot

Overview

Very High Frequency (VHF) radio communication is widely used in the maritime industry for essential ship-to-ship and ship-to-shore interactions. However, these communications often suffer from noise, language barriers, and overlapping speech, making them unclear and difficult to interpret.

The goal of this project is to develop an automated, accurate, and reliable system for transcribing and translating VHF radio communications. The system should deliver clear transcriptions and translations of each speaker’s input. If time permits, an additional feature will involve generating a situation summary based on the communication.

Due to limited availability of real-world data, this project will also involve data collection and generation, which could include sourcing open datasets or simulating relevant data using different methods.

Requirements

· Proficiency in shell scripting and Python programming

· Experience with Git for version control

· Interest or experience in Natural Language Processing (NLP)

· Familiarity with deep learning libraries such as PyTorch or TensorFlow

Responsibilities

· Collaborate with a team to prototype and explore solutions

· Contribute to the architecture design and development, tackling challenges like high reliability and scalability

· Research and implement technologies and approaches that align with project goals