ConcertAI

Sr Software Engineer

Technical Architect

Google

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As a Research Scientist at Kaggle, you'll be working on the cutting edge of AI and ML research, specifically focusing on LLMs and Generative AI. You'll collaborate with other researchers to create the next generation of benchmarking and evaluation methods, and work with the Kaggle Competitions team to expand their platform to host LLM Benchmarks and community evaluations. You'll also be involved in developing and deploying new research methods and algorithms, and mentoring junior engineers. This is a unique opportunity to make a real impact on the future of AI, and to be part of a world-class research team.

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Publisher Intelligence Analyst

<div jscontroller="iYVHDc" class="DkhPwc" jsname="tIk9qd" data-id="119189764841579206" jsaction="A6AxKc:CXOOvf;"><div class="KwJkGe"><h3>Minimum qualifications:</h3><ul>
<li>PhD degree in Computer Science, a related field, or equivalent practical experience. </li>
<li>One or more scientific publication submission(s) for conferences, journals, or public repositories. </li>
<li>Coding experience in Python, JavaScript, R, Java, or C++. </li>
</ul> <h3>Preferred qualifications:</h3><ul>
<li>2 years of coding experience in Python, JavaScript, R, Java, or C++. </li>
<li>1 year of experience owning and initiating research agendas. </li>
<li>Experience with LLMs and GenAI models and methods.</li>
<li>Demonstrated expertise in bechmarking, evaluation, and empirical methods.</li>
</ul></div><div class="aG5W3"><h3>About the job</h3>As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
In this role, you will get to work on Kaggle’s Research priorities, help innovate in Kaggle’s leading platform for ML competitions, datasets, and models, and establish Kaggle Research as the leader in building earned trust through community validation of AI.The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers. </div><div class="BDNOWe"><h3>Responsibilities</h3><ul>
<li>Collaborate with other members of the Kaggle Research team to create the next generation of benchmarking and evaluation methods and structures for AI / ML, with a particular focus on LLMs and generative AI.</li>
<li>Work with the Kaggle Competitions team to expand Kaggle's competitions platform to host and run LLM Benchmarks and community evaluations.</li>
<li>Collaborate with Google DeepMind Researchers and external researchers to create and host valuable AI evaluations and benchmarks on Kaggle.</li>
<li>Contribute to the development and deployment of new research methods and algorithms for AI and ML. Mentor and&nbsp;guide junior engineers on the team.</li>
<li>Publish research papers and present findings at conferences and workshops. Collaborate with engineering, design, and product leadership to improve Kaggle's product for Research&nbsp;priorities.</li>
</ul></div></div>

ConcertAI seeks a Sr Software Engineer to build and enhance its next-generation data analytics product. You'll own the backend architecture, design APIs, and work with large healthcare datasets. Expertise in Python, SQL, big data, and microservices is essential.

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 Job Requirements Role Summary ConcertAI is seeking a strong hands-on technology leader who will build and enhance our next generation data analytics product, processing large volume of real-world healthcare datasets to provide real world insights and optimization of clinical trial design using advance analytics capabilities. The ideal candidate will serve as the technical point person, working closely with product managers, data scientists and development team to advance the product technology and business roadmap. Responsibilities <ul><li>Own and drive the backend architecture of our application platform, considering future product roadmap </li><li>Design and develop production-ready APIs, services and algorithms built to scale, high performing and compliant to security standards.</li><li>Drive and uphold high engineering standards and practices, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.</li><li>Work closely with product management, engineering, dev-ops and data engineering team to build, support and deliver new product releases</li><li>Drive optimization, unit testing and tooling to improve quality of solutions</li><li>Understands product needs to define optimal system specifications.</li><li>Evaluates and selects appropriate tech stack and suggests integration methods &amp; business impact.</li><li>Ensures the implementation of agreed architecture and infrastructure.</li><li>Resolves project challenges involving scope, design and technical problems when they arise.</li><li>Addresses technical concerns, ideas and suggestions.</li><li>Monitors systems to ensure they meet both user needs and business goals. </li></ul>
Requirements <ul><li>5+ years of experience developing healthcare data analytics products using the following programming languages: Python (Preferred), Java, SQL.</li><li>Experience in conceiving/designing/ architecting/developing scalable and high performing micro-services-based architecture for data analytics products/application involving large volume of data processing and embedded ML models.</li><li>Strong big data processing experience with Spark, Hadoop etc</li><li>Strong experience with database and SQL (AWS Redshift (Preferred), Postgres, SQL Server)</li><li>Experience building Search Analytics preferably through Elastic Search.</li><li>Strong SQL and Python programming skills </li><li>Problem-solving aptitude, with a willingness to work in a fast-paced product development environment and hands-on mentality to do whatever it takes to deliver a successful product.</li><li>Experience in web application development and deployment.</li><li>Proficiency with APIs, containerization and orchestration using cloud technologies in AWS is a plus</li><li>Experience with advanced analytics and modern machine learning techniques is a plus</li><li>Experience with NoSQL is a plus</li><li>Experience with Docker for deployment and local development is a plus</li><li>Understanding data standardization practices in pharma domain, integrating Healthcare data, and security related to HIPAA is a plus. </li></ul>
Work Experience <ul><li>programming languages: Python (Preferred), Java, SQL.</li><li>Experience in conceiving/designing/ architecting/developing scalable and high performing micro-services-based architecture for data analytics products/application involving large volume of data processing and embedded ML models.</li><li>Strong big data processing experience with Spark, Hadoop, AWS EMR (preferred) etc</li><li>Strong experience with database and SQL (AWS Redshift (Preferred), Postgres, SQL Server)</li><li>Experience building Search Analytics preferably through Elastic Search.</li><li>Strong SQL and Python programming skills</li></ul>

 
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