
What You’ll Do:
We are looking for a Staff Software Engineer based in Pune, India who can master both DeepIntent’s data architectures and pharma research and analytics methodologies to make significant contributions to how health media is analyzed by our clients. This role requires an Engineer who not only understands DBA functions but also how they impact research objectives and can work with researchers and data scientists to achieve impactful results.
This role will be in the Analytics Organization and will require integration and partnership with the Engineering Organization. The ideal candidate is a self-starter who is inquisitive who is not afraid to take on and learn from challenges and will constantly seek to improve the facets of the business they manage. The ideal candidate will also need to demonstrate the ability to collaborate and partner with others.
- Serve as the Engineering interface between Analytics and Engineering teams.
- Develop and standardize all interface points for analysts to retrieve and analyze data with a focus on research methodologies and data-based decision-making.
- Optimize queries and data access efficiencies, serve as an expert in how to most efficiently attain desired data points.
- Build “mastered” versions of the data for Analytics-specific querying use cases.
- Help with data ETL, table performance optimization.
- Establish a formal data practice for the Analytics practice in conjunction with the rest of DeepIntent
- Build & operate scalable and robust data architectures.
- Interpret analytics methodology requirements and apply them to data architecture to create standardized queries and operations for use by analytics teams.
- Implement DataOps practices.
- Master existing and new Data Pipelines and develop appropriate queries to meet analytics-specific objectives.
- Collaborate with various business stakeholders, software engineers, machine learning engineers, and analysts.
- Operate between Engineers and Analysts to unify both practices for analytics insight creation.
Who You Are:
- 8+ years of experience in Tech Support (Specialised in Monitoring and maintaining Data pipeline).
- Adept in market research methodologies and using data to deliver representative insights.
- Inquisitive, curious, understands how to query complicated data sets, move and combine data between databases.
- Deep SQL experience is a must.
- Exceptional communication skills with the ability to collaborate and translate between technical and non-technical needs.
- English Language Fluency and proven success working with teams in the U.S.
- Experience in designing, developing and operating configurable Data pipelines serving high-volume and velocity data.
- Experience working with public clouds like GCP/AWS.
- Good understanding of software engineering, DataOps, and data architecture, Agile and DevOps methodologies.
- Experience building Data architectures that optimize performance and cost, whether the components are prepackaged or homegrown.
- Proficient with SQL, Python or JVM-based language, Bash.
- Experience with any of Apache open-source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc.
- Ability to think big, take bets and innovate, dive deep, hire and develop the best talent, learn and be curious.

About DeepIntent
About
DeepIntent is the leading independent healthcare marketing technology company built purposefully to influence patient health and business outcomes. The DeepIntent Healthcare Marketing Platform is the first and only platform that uniquely combines real-world health data, premium media partnerships, and custom integrations to reach patients and providers across any device. This enables healthcare marketers to plan, activate, optimize and measure campaigns that drive measurable patient and business outcomes, all within a single platform. DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data.
Tech stack
Candid answers by the company
The DeepIntent Healthcare Marketing Platform is the first and only platform that uniquely combines real-world health data, premium media partnerships, and custom integrations to reach patients and providers across any device. This enables healthcare marketers to plan, activate, optimize and measure campaigns that drive measurable patient and business outcomes, all within a single platform.
Photos
Connect with the team
Similar jobs
Skills: In-depth knowledge of JavaScript, CSS, HTML, and front-end languages.
Knowledge of REACT tools including React.js, Redux, Mongo DB,Node.JS
Experience with browser-based debugging and performance testing software.
Work From office only
About us:
HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.
We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.
To know more, Visit! - https://www.happyfox.com/
A Senior Automation Test Engineer at HappyFox is an integral part of the QA team responsible to ensure product quality and integrity with a special focus on the development and execution of test automation.
Responsibilities:
- Owning the quality of any deliverables including new features and enhancements.
- Working closely with the product team in understanding the requirements and user workflow.
- Developing and executing test plans and test cases with a strong emphasis on using code to solve technical challenges and shorten the regression test cycle through automation.
- Performing automated API testing.
- Contributing to building of a Continuous Integration (CI) environment and ongoing process improvement activities.
- Identifying required improvements in the test and development processes; making contributions to our automation tools that address specific needs.
- Raising defects/bugs and tracking them till closure.
Requirements:
- Minimum 5 years of relevant experience in QA with at least 3 years of experience in automation.
- Expertise in Selenium tool for automation testing.
- Good understanding of the Agile software development methodology (Kanban or Scrum) and QA's role in it.
- Good knowledge of object-oriented programming, along with requisite coding and debugging skills.
- Design and development skills in Python and/or Java.
- Some knowledge of continuous integration practices.
- Excellent verbal and written communication skills.
- Experience working in SaaS based product company (optional)
- Knowledge of Performance / Load testing tool (optional)
- Experience working for a bootstrapped high-growth startup (optional)
Experience: 3-6 years
Location: chennai
Job summary
AEM, Java, Jenkins, DevOps
"Experience on Agile methodology.
- Hands on experience on AEM, JCR, Apache Sling, Apache Felix
- Develop AEM templates, components, fragments and experiences
- Work extensively in Core Java 1.8, JEE, AEM 6.2, AEM 6.1, AEM 6.0, CQ5.5, Apache CXF
- Translates business requirements into AEM specific implementation, specifications, designs, Authors content, etc.
- Make changes to AEM site content, assets, pages, workflow, etc.
- Design and build components, templates, dialogs, and workflows using the AEM architecture (Sling, CRX, OSGI, JCR)
- Diagnoses and solve technical problems related to content management such as search result accuracy, dynamic content linking, formatting, image scaling, internationalization, and personalization
- Need to work in J2EE Web Technologies using Servlets, JSP, spring, Hibernate, Java Beans, Collections, JDBC, JavaScript, XML, HTML, DHTML, and CSS.
- To work on agile methodology, rapid development and prototyping environment"
Techincal Skills
Good to have JDBC, ANSI SQL, Jenkins, Core Java, DevOps, Adobe AEM
Relevant Experience
3 to 10 years
Job Description and Key Skills Required:
- Hands-on with any of the programming languages like NodeJS/ExpressJS, Python, Java, Php or any.
- Design and create efficient RESTful API endpoints for both internal and public consumption
- Strong understanding of database technologies such as MySQL, Postgress, Oracle , relational Database.
- Work closely with front end developers to understand required data model
- Comfortable deploying applications on AWS, and have a strong working knowledge of EC2, RDS and S3.
- Must understand overall system design, architecture , improve design and implement new processes.
- Strong understanding of sessions, cookies & local storage is must.
- Experience with in memory databases like redis basic, Memcache
- Independently think of solutions to complex requirements; possess exceptional logical skills.
- Analyse current products in development, including performance, scalability, diagnosis and troubleshooting.
- Work with the existing framework and evolve it by building reusable code & libraries
- Search and introduce new software related technologies, processes and tools.
- Bonus: You're fluent with React.
- Bonus: Interested in full-stack development.
- Bonus: Any experience of iOS/Android mobile development.
- Bonus: Experience with CI servers such as Jenkins, Travis or similar types
- Bonus: Experience with web server like Nginx
About Turing:
Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.
We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:
- Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
- Executives from Google, Facebook, Square, Amazon, and Twitter
- Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
- Cyan Banister
- Founder of Upwork (Beerud Sheth)
We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month.
Some articles about Turing:
- https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
- https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
- https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
- https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.
Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.
About the role:
Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us.
We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc.
A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job.
You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words.
As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).
This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&hl=en">Google Scholar profile.
Responsibilities:
- Enhance our existing machine learning systems using your core coding skills and ML knowledge.
- Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
- Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
- Design features and builds large scale recommendation systems to improve targeting and engagement.
- Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.
Minimum Requirements:
- BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
- Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
- Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
- 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
- Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
- Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
- Good understanding of mathematical foundations of machine learning algorithms.
- Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).
Other Nice-to-have Requirements:
- First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals.
- Strong performance in Kaggle competitions.
- 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
- Strong communication skills.
- Experienced in leading large-scale multi-engineering projects.
- Flexible, and a positive team player with outstanding interpersonal skills.
|
· Advanced Spark Programming Skills · Advanced Python Skills · Data Engineering ETL and ELT Skills · Expertise on Streaming data · Experience in Hadoop eco system · Basic understanding of Cloud Platforms · Technical Design Skills, Alternative approaches |
· Hands on expertise on writing UDF’s · Hands on expertise on streaming data ingestion · Be able to independently tune spark scripts · Advanced Debugging skills & Large Volume data handling. · Independently breakdown and plan technical Tasks |














