We are looking for Data Scientists who are great at problem-solving, prototyping, partnering with Engineers, and communicating recommendations effectively. Responsibilities You will work on client deliverables to solve business problems using the power of data and analytics. Your key responsibilities will be to - Understand the problem statement and use logical thinking to develop appropriate solutions. Gain knowledge and understanding of the client's business. Perform exploratory and statistical analyses to uncover key insights. Perform Feature Engineering and build Pipelines. Train and Deploy ML Models. Build dashboards to track model performance and key business metrics. Ensure the project meets deadlines without compromising on agreed deliverable quality. Requirements 1-3 years of hands-on experience in Analytics and Machine Learning to solve business problems. Understanding of different Statistical and ML algorithms is mandatory. Strong coding skills with proficiency in Python and SQL. Hands-on experience with deep learning algorithms in any one of these frameworks - PyTorch, TensorFlow, or fast.ai is a plus. Hands-on experience in using any of these Cloud Platforms - AWS/Azure/GCP is a plus. This job was posted by Akshay Singh from Yugen.ai.
We are looking for Backend Engineers with 1-3 years of production experience shipping and supporting backend code. You will be a part of our team, owning the real-time ingestion and analytics layer that powers customer-facing dashboards, trading tools, and research. Responsibilities Design, build, and scale streaming workflows that move and process multi-terabyte (and rapidly growing) datasets. Guarantee end-to-end reliability by owning performance, fault-tolerance, and cost efficiency from source to sink. Instrument every job with tracing, structured logs, and Prometheus metrics so every job tells you how it's doing. Publish Grafana dashboards and alerts for latency, throughput, and failure rates; act on them before users notice. Partner with DevOps to containerize workloads and automate deployments. Automate reconciliation checks, confirm completeness, and replay late or corrected records to maintain pristine datasets. Collaborate with stakeholders to verify data completeness, run automated reconciliation checks, and re-process late or corrected data. Requirements Proficient in Rust - comfortable with ownership, borrowing, async/await, cargo tooling, and profiling/optimisation. Stream-processing - have built or maintained high-throughput pipelines on NATS (ideal) or Kafka. Deep systems engineering skills - you think about concurrency models, memory footprints, network I/O, back-pressure, and graceful degradation; can instrument code with tracing, metrics, and logs. ClickHouse (or similar OLAP) - able to design MergeTree tables, reason about partitions / order-by keys, and optimise bulk inserts. Cloud- have deployed containerised workloads on AWS or GCP, wired up CI/CD, and tuned instance types or autoscaling groups. Nice-to-have - exposure to blockchain or high-volume financial data streams. This job was posted by Akshay Singh from Yugen.ai.
Responsibilities Develop, test, and maintain scalable backend systems (APIs, Pipelines, and AI applications). Work with other team members (Backend, ML, Data Engineers, Product, and Design) to ship features quickly. Learn how to debug and resolve production issues to ensure system uptime. Participate in architectural and system design discussions. Explore new technologies and frameworks, and come up with suggestions to improve existing systems. Requirements Strong programming skills in one or more of: Python, Go, TypeScript, or similar. Strong understanding of software development principles (OOPS, REST APIs, etc. ) and tooling such as Git. Familiarity with databases (SQL or NoSQL). A deep sense of curiosity and a knack for experimentation with AI applications. You're proactive and love getting things done regardless of external factors. Strong communication skills and a very good eye for detail. Must Have Excellent coding skills with strong problem-solving abilities. Meaningful contributions to open-source projects. Strong proof of building and deep focus. For example. Active participation in multiple hackathons, with top-3 finishes or notable wins. At least 1 self-driven portfolio project that has been maintained for over 4 months. Github repos with frequent commits showing continuous progress would be great. This job was posted by Palak Agrawal from Yugen.ai.
We are looking for Analysts with at least 2 years of prior experience in the gaming industry who can collaborate with our clients to evaluate user behavior of different games and develop data-driven strategies. Responsibilities Work with the stakeholders in defining and executing game analytics plans. Analyse Mobile, PC, and Console game data to identify trends and opportunities. Perform data manipulation and statistical analysis to draw insights from the data. Should be able to create stories(using visualization tools) and/or reports that help in conveying important and meaningful information. Should be on top of industry trends and identify opportunities, and best practices in gaming analytics. Perform a teardown analysis by playing games to identify success factors. Requirements 2+ years of experience in the gaming domain. Fluent in writing complex queries in SQL. Knowledge of Visualisation Tools like Tableau/Power BI / Looker. Knowledge of performing analysis using data from game analytics tools such as SensorTower / App Annie. Knowledge of MS Excel to create and automate reports. Strong communication and presentation skills. Knowledge of any scripting languages, like Python, is a plus. This job was posted by Akshay Singh from Yugen.ai.