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business analyst - data & ai

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clinical data scientist Jobs in Mangaluru

clinical data scientist

data analytics developer

Astellas Pharma

<div>
 Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas!
 
 
 Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at www.astellas.com .
 
 
 This position is based in Bengaluru and will require some on-site work.
 
 
 
 Purpose And Scope
 
 
 
 As a Data and Analytics Developer, you will play a crucial role in transforming raw data into valuable insights. You&rsquo;ll work closely with business stakeholders to understand their requirements and translate them into technical specifications. Your responsibilities will include developing and maintaining business intelligence (BI) and ETL solutions, creating visualizations, and ensuring data accuracy.
 
 
 
 Essential Job Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with key stakeholders to gather requirements and translate them into technical specifications
 </li>
 <li>
 Contribute to the efficient administration of multi-server environments.
 </li>
 <li>
 Participate in smaller focused mission teams to deliver value driven solutions aligned to our global and bold move priority initiatives and beyond.
 </li>
 <li>
 Provide Technical Support to internal users troubleshooting complex issues and ensuring system uptime as soon as possible.
 </li>
 <li>
 Participate in the continuous delivery pipeline. Adhering to DevOps best practises for version control automation and deployment. Ensuring effective management of the FoundationX backlog.
 </li>
 <li>
 Leverage your knowledge of data engineering principles to integrate with existing data pipelines and explore new possibilities for data utilization.
 </li>
 <li>
 Stay-up to date on the latest trends and technologies in data engineering and cloud platforms.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, information technology, or related field (or equivalent experience.) Bachelor's degree in computer science, information technology, or related field (or equivalent experience.)
 </li>
 <li>
 3-5+ years proven experience as a Tester, Developer or Data Analyst within a Pharmaceutical or working within a similar regulatory environment.
 </li>
 <li>
 3-5+ years of experience in using BI Development, ETL Development, QlikSense, PowerBI or equivalent technologies
 </li>
 <li>
 Experience working with data warehousing and data modelling
 </li>
 <li>
 Knowledge of database management systems (e.g., SQL Server, Oracle, MySQL).
 </li>
 <li>
 Understanding of ETL (Extract, Transform, Load) processes and data integration techniques.
 </li>
 <li>
 Understanding ability to install/ upgrade Qlik, Tableau and or PowerBI architecture or any equivalent technology within a cloud-based environment (AWS, Azure or GCP for example.)
 </li>
 <li>
 QLIK/Tableau: Proficiency in designing, developing, and maintaining QLIK/Tableau applications. Experience with QLIK Sense and QLIKView is highly desirable. Experience working with N-Printing, Qlik Alerting
 </li>
 <li>
 Conducting Unit Testing and troubleshooting BI systems
 </li>
 <li>
 Data Analysis and Automation Skills: Proficient in identifying, standardizing, and automating critical reporting metrics
 </li>
 <li>
 Data Validation and Quality Assurance:
 </li>
 <li>
 Certified Developer in any of AWS/Azure / DataBricks
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience working in the Pharma/ Lifesciences industry or similar complex regulated industry.
 </li>
 <li>
 Experience in storytelling with data
 </li>
 <li>
 Visualisation best practices
 </li>
 <li>
 Knowledge/experience using Qlik, or PowerBI SaaS solutions. Experience with other BI tools (Tableau, D3.js) is a plus.
 </li>
 <li>
 Analytical Thinking: Demonstrated ability to lead ad hoc analyses, identify performance gaps, and foster a culture of continuous improvement.
 </li>
 <li>
 Agile Champion: Adherence to DevOps principles and a proven track record with CI/CD pipelines for continuous delivery.
 
 
 </li>
 </ul>
 
 Working Environment
 
 
 
 At Astellas we recognize the importance of work/life balance, and we are proud to offer a hybrid working solution allowing time to connect with colleagues at the office with the flexibility to also work from home. We believe this will optimize the most productive work environment for all employees to succeed and deliver. Hybrid work from certain locations may be permitted in accordance with Astellas&rsquo; Responsible Flexibility Guidelines.
 
 
 \
 
 
 Category FoundationX
 
 
 Astellas is committed to equality of opportunity in all aspects of employment.
 
 
 EOE including Disability/Protected Veterans
 
 
</div>

Data and Analytics Developer

Morgan Stanley

<div>
 
 Python Developer - Associate- Data &amp; Analytics Engineering
 
 
 
 We&rsquo;re seeking someone to join our CDRR Technology team as a Python Developer, in Non-Financial Risk Technology to We are seeking a skilled and proactive Mid-Level Backend Developer to join our dynamic team. The ideal candidate should have a strong foundation in real-time applications, microservices, and be comfortable supporting production environments, including troubleshooting and resolving production issues promptly. You will work collaboratively in an Agile environment and contribute to building, deploying, and maintaining robust backend systems.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
 
 
 This is Associate position that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.
 
 
 Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Develop, maintain, and support scalable real-time applications.
 </li>
 <li>
 Build and manage microservices using Python (3+) within Docker and Kubernetes (MKS) environments.
 </li>
 <li>
 Monitor, troubleshoot, and support production systems, including incident response and root cause analysis.
 </li>
 <li>
 Implement and configure logging and monitoring solutions, especially Grafana and Loki.
 </li>
 <li>
 Participate in the Software Development Life Cycle (SDLC) following AGILE methodologies.
 </li>
 <li>
 Develop and manage CI/CD pipelines and contribute to auto deployment tools for seamless releases.
 </li>
 <li>
 Write optimized SQL queries and manage relational databases (MSSQL and other RDBMS systems).
 </li>
 <li>
 Utilize basic Big Data concepts and tools where applicable.
 </li>
 <li>
 Collaborate with other team members, stakeholders, and cross-functional teams to understand requirements and resolve issues.
 </li>
 <li>
 Ensure quality and reliability of services through code reviews and best practices.
 </li>
 <li>
 Communicate effectively and document solutions, especially around production support tasks.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <ul>
 <li>
 Experience in developing and supporting real-time applications.
 </li>
 <li>
 Python skill set is key; strong experience in Python 3+ development.
 </li>
 <li>
 Experience with RESTful APIs and microservices.
 </li>
 <li>
 Proficiency with Docker and Kubernetes (preferably MKS).
 </li>
 <li>
 Experience implementing logging and monitoring, particularly with Grafana and Loki.
 </li>
 <li>
 Good understanding of the SDLC and experience working in AGILE teams.
 </li>
 <li>
 Familiarity with CI/CD and deployment automation tools.
 </li>
 <li>
 Strong SQL knowledge, with hands-on experience using MSSQL and other RDBMS systems.
 </li>
 <li>
 Basic awareness of Big Data technologies and principles.
 </li>
 <li>
 Experience supporting and troubleshooting production environments.
 </li>
 <li>
 Good interpersonal and communication skills with proactive problem-solving abilities.
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Python Developer_Associate_Data & Analytics Engineering

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Science Engineer

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 6 years of experience with cloud native architecture in a customer-facing or support role.
 </li>
 <li>
 Experience with Big Data technologies or concepts, such as analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, NoSQL, performance or scalability optimizations, or batch versus streaming.
 </li>
 <li>
 Experience engaging with, and presenting to, technical stakeholders and executive leaders.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Experience with architecture design, implementing, tuning, schema design and query optimization of scalable and distributed systems.
 </li>
 <li>
 Experience in understanding customer requirements with the ability to break down requirements and design technical architectures.
 </li>
 <li>
 Experience in technical business or consulting in cloud computing, data analytics, or Big Data.
 </li>
 <li>
 Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools and data governance on cloud native architectures.
 </li>
 <li>
 Experience with aspects of cloud computing (infrastructure, storage, platforms and data), as well as the cloud market, engaged dynamics and customer buying behavior.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.
 
 
 As a Customer Engineer, you will partner with technical business teams as a data analytics subject matter expert to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs-of-concepts, and troubleshoot any technical questions and roadblocks related to database migrations, data back ends and all aspects of the data lifecycle. You will use your experience and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will be a part of a team of fellow Googlers working in an environment of respect where we promote equal opportunities to succeed.
 
 
 Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Support local business teams in pursuit of key business opportunities, engaging customers to address aspects of the data lifecycle.
 </li>
 <li>
 Identify business and technical requirements, conduct full technical discovery and architect client solutions to meet gathered requirements.
 </li>
 <li>
 Take responsibility for leading technical projects, including such activities as technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and the coordination of supporting technical resources.
 </li>
 <li>
 Work with Google Cloud Platform products to demonstrate and prototype integrations in customer/partner environments. Travel as required.
 </li>
 <li>
 Prepare and deliver product messaging in an effort to highlight the Google Cloud Platform value proposition, using techniques that include whiteboard and slide presentations, product demonstrations, white papers and request for information (RFI) response documents.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Customer Engineer II, Data Analytics, Google Cloud

Gainwell Technologies

<div>
 
 Summary
 
 
 
 As a
 
 Data Analyst
 
 at Gainwell, you can contribute your skills as we harness the power of technology. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions. This role is strictly involved in the development of the product and does not involve access to Protected Health Information (PHI) &amp; Personally Identifiable Information (PII) or any secured/confidential client data. The work is limited to analysis of the application development and does not include handling or processing of sensitive health information. Here are the details on this position.
 
 
 
 Your role in our mission
 
 
 
 <ul>
 <li>
 Designs, implements and maintains access methods, access time, validation checks, organization, documentation, and statistical methods to ensure that requirements are satisfied.
 </li>
 <li>
 Review requirements and documents according to required standards by utilizing prescribed tools and methods to ensure that design and implementation are according to company guidelines and specifications.
 </li>
 <li>
 Provides overall monitoring of standards and procedures and suggests revisions when necessary to ensure updated guidelines to meet changing demands and consistency.
 </li>
 <li>
 Should have experience in building analytical dashboards/reporting (Experience in Finance domain is desirable).
 </li>
 <li>
 Investigates and resolves technical matters of significance by analysing and determining possible causes to ensure stakeholders satisfaction.
 </li>
 <li>
 Provides work direction and guidance to less experienced personnel to ensure that specifications are met.
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 <ul>
 <li>
 Seeking good analytical resources with at least 4 years of experience of working on analytical scorecards/dashboards.
 </li>
 <li>
 Experience in building dashboards and having working knowledge in analytical packages like Python, Tableau, SQL, Power BI etc and Data Handling are desirable.
 </li>
 <li>
 Decent knowledge of ML/AI models will be an added advantage.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent combination of education and experience.
 </li>
 <li>
 Experience working with statistical software and product configurations.
 </li>
 <li>
 Experience working with relevant programming languages and RDMS for general software development.
 
 
 </li>
 </ul>
 
 What You Should Expect In This Role
 
 
 
 <ul>
 <li>
 Opportunity to work on challenging, impactful projects leveraging the latest technologies.
 </li>
 <li>
 A collaborative and supportive team environment where your contributions are recognized.
 </li>
 <li>
 Access to resources and opportunities for continuous learning and skill development.
 </li>
 <li>
 Recognition for your technical expertise and problem-solving abilities.
 </li>
 <li>
 Career growth in a fast-paced, innovative organization.
 </li>
 <li>
 Work Environment: Hybrid/Remote.
 </li>
 <li>
 Work Hours: The working hours for this role are 1:00 PM to 10:00 PM (IST). There may be few scenarios where you may have to stretch in case of important/urgent calls.
 </li>
 </ul>
</div>

Data Analyst (SQL, Python and Power BI)

Inference Labs

<div>
 
 Job Location: Bangalore
 
 
 Job Summary:
 
 
 
 We are seeking an experienced Talent Acquisition Specialist to lead end-to-end hiring for data analytics and technology roles. The position involves sourcing top talent through innovative strategies, managing the complete recruitment lifecycle, and collaborating with hiring managers to ensure strong role alignment. The role also supports employer branding initiatives and leverages recruitment analytics to optimise hiring efficiency and quality.
 
 
 
 Key Responsibilities:
 
 
 Talent Sourcing &amp; Acquisition
 
 
 
 <ul>
 <li>
 Identify, attract, and engage candidates for roles in data analytics, data science, BI, and related fields.
 </li>
 <li>
 Utilize job boards, LinkedIn, social media, and networking events to build pipelines.
 </li>
 <li>
 Develop creative sourcing strategies to target passive candidates.
 
 
 </li>
 </ul>
 
 Recruitment Process Management
 
 
 
 <ul>
 <li>
 Manage the full recruitment cycle: job posting, screening, interviewing, and offer negotiation.
 </li>
 <li>
 Coordinate with hiring managers to understand role requirements and desired skill sets.
 </li>
 <li>
 Ensure a smooth candidate experience throughout the process.
 
 
 </li>
 </ul>
 
 Employer Branding
 
 
 
 <ul>
 <li>
 Promote the companys culture and opportunities to attract top analytics talent.
 </li>
 <li>
 Represent the organization at career fairs, industry events, and university programs.
 
 
 </li>
 </ul>
 
 Data-Driven Recruitment
 
 
 
 <ul>
 <li>
 Track recruitment metrics (time-to-fill, quality of hire, source effectiveness).
 </li>
 <li>
 Use analytics to improve hiring strategies and optimise processes.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications:
 
 
 
 <ul>
 <li>
 Bachelors degree in Human Resources, Business Administration, or related field.
 </li>
 <li>
 Proven experience (35 years) in recruitment, preferably within data analytics, IT, or technology sectors.
 </li>
 <li>
 Strong understanding of analytics roles (Data Analyst, Data Scientist, BI Developer, ML Engineer, Data Engineer).
 </li>
 <li>
 Excellent communication, negotiation, and interpersonal skills.
 </li>
 <li>
 Ability to manage multiple requisitions in a fast-paced environment.
 </li>
 </ul>
</div>

Talent Acquisition Specialist

Anyscale

<div>
 
 About Anyscale
 
 
 
 At Anyscale, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We&rsquo;re commercializing Ray, a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI, Uber, Spotify, Instacart, Cruise, and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world.
 
 
 With Anyscale, we&rsquo;re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
 
 
 Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for a
 
 Docs Engineering Lead
 
 to own the end-to-end systems, tooling, and infrastructure that power Anyscale&rsquo;s documentation experience &mdash; including both the Anyscale product documentation and the open-source Ray documentation.
 
 
 Documentation is one of the most important surfaces for how developers experience Anyscale. In this role, you will architect, build, and operate the platform that enables technical writers, engineers, and contributors across the company to produce clear, accurate, and high-quality content at scale. You&rsquo;ll combine deep engineering skills with an obsession for information architecture, contributor experience, and technical content delivery.
 
 
 This is a
 
 Lead IC role
 
 with high autonomy, broad visibility, and significant cross-functional influence. You&rsquo;ll collaborate closely with technical writers (your primary internal customers), engineers, designers, product managers, and marketing to deliver a best-in-class docs experience.
 
 
 
 What You&rsquo;ll Own
 
 
 
 <ul>
 <li>
 End-to-end ownership of documentation tooling, build systems, and infrastructure for both Anyscale and Ray.
 </li>
 <li>
 Architecture and implementation of the front-end documentation experience, including dynamic elements, UI components, and contributor workflows.
 </li>
 <li>
 All developer-focused aspects of documentation hygiene: CLI/SDK reference generation, code example CI, versioning, testing, and automation pipelines.
 </li>
 <li>
 Contributor experience tooling that enables technical writers and engineers to work efficiently, accurately, and confidently.
 </li>
 <li>
 Documentation hosting, deployment strategy, CDN configuration, observability, analytics, and SEO fundamentals.
 
 
 </li>
 </ul>
 Technical implementation of
 
 AI-augmented documentation tooling
 
 in collaboration with internal AI/ML and product teams.
 
 
 
 What You&rsquo;ll Work On
 
 
 
 <ul>
 <li>
 Build and maintain the full docs engineering stack using Python and JavaScript.
 </li>
 <li>
 Implement dynamic components, automated documentation workflows, and extensions for Docusaurus (Anyscale docs) and tooling improvements around Sphinx (Ray OSS docs).
 </li>
 <li>
 Design systems that generate dynamic CLI and SDK reference docs, pulling from code, schemas, or OpenAPI-like definitions.
 </li>
 <li>
 Create custom plugins and tooling for authoring, validation, versioning, and content automation.
 </li>
 <li>
 Develop tests and validation pipelines for code examples, tutorials, walkthroughs, and other executable content.
 </li>
 <li>
 Define and enforce patterns, style guidelines, and branding across documentation surfaces, with collaboration from Design and Marketing.
 </li>
 <li>
 Partner with AI/ML teams to explore or integrate chatbot assistants, generative content workflows, LLM-based quality checks, or other intelligent doc systems.
 </li>
 <li>
 Improve documentation discoverability through analytics, structure, metadata, and lightweight SEO improvements.
 </li>
 <li>
 Drive contributor UX across engineering, product, field teams, and the OSS Ray community &mdash; enabling fast, safe, and scalable content contributions.
 
 
 </li>
 </ul>
 
 What Makes This Role Unique
 
 
 
 <ul>
 <li>
 Docs as a first-class product surface: You&rsquo;ll shape a developer-facing experience that is critical to how users learn, adopt, and scale with Anyscale.
 </li>
 <li>
 High leverage: By empowering contributors and writers, you multiply the productivity of the entire engineering organization.
 </li>
 <li>
 Hybrid strategic + hands-on: You&rsquo;ll set technical direction and architecture while also building systems end-to-end.
 </li>
 <li>
 Cross-company visibility: Your work impacts product, DevEx, marketing, OSS, and the AI platform itself.
 
 
 </li>
 </ul>
 
 Freedom to innovate:
 
 Our Docusaurus-based system supports arbitrary JS integrations, enabling deep customization and experimentation.
 
 
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong software engineering background with Python and JavaScript (both mandatory).
 </li>
 <li>
 Experience building or maintaining documentation platforms, content engineering systems, or developer-facing web properties.
 </li>
 <li>
 Familiarity with at least one major docs ecosystem: Docusaurus, Sphinx, MkDocs, Next.js/SSG, or similar.
 </li>
 <li>
 Experience with CI/CD, build pipelines, deployment automation, and versioning systems.
 </li>
 <li>
 Understanding of CDNs, caching strategy, hosting architectures, and doc site observability.
 </li>
 <li>
 Experience integrating analytics tools (Google Analytics, Search Console, Pendo, etc.).
 </li>
 <li>
 Strong grasp of information architecture and UX considerations for technical audiences (DevOps, ML engineers, data engineers, data scientists).
 </li>
 <li>
 Ability to design contributor-friendly workflows and collaborate closely with technical writers.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Experience supporting or migrating large-scale documentation systems.
 </li>
 <li>
 Experience building reusable components with React and CSS modules.
 </li>
 <li>
 Familiarity with the Ray ecosystem, distributed computing, or AI/ML infrastructure.
 </li>
 <li>
 Exposure to containerized development workflows (Docker) or Kubernetes.
 </li>
 <li>
 Experience integrating or enabling AI-assisted documentation workflows.
 </li>
 <li>
 Experience working on developer tools at a SaaS or enterprise technology company.
 </li>
 <li>
 Contributions to open-source docs or content tooling.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 You care deeply about documentation as a product, and you understand how much great docs impact developer adoption and success.
 </li>
 <li>
 You are excited about shaping and delivering a best-in-class documentation experience &mdash; both for end users and for internal contributors.
 </li>
 <li>
 You see technical writers as your core stakeholders and design systems that amplify their impact.
 </li>
 <li>
 You have a product mindset, strong UX intuition, and an instinct for how developers learn.
 </li>
 <li>
 You enjoy collaborating with technical and non-technical partners, and you thrive in highly cross-functional environments.
 </li>
 <li>
 You take end-to-end ownership, from architecture to implementation to ongoing maintenance.
 </li>
 <li>
 You&rsquo;re comfortable working in a fast-moving environment with high autonomy and high expectations.
 
 
 </li>
 </ul>
 
 Anyscale Inc. is an Equal Opportunity Employer. Candidates are evaluated without regard to age, race, color, religion, sex, disability, national origin, sexual orientation, veteran status, or any other characteristic protected by federal or state law.
 
 
 
 
 
 Anyscale Inc. is an E-Verify company and you may review the
 
 
 
 
 Notice of E-Verify Participation
 
 
 
 
 and the
 
 
 
 
 Right to Work posters in English and Spanish
 
 
</div>

Docs Engineering Lead

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