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What You’ll Do:
As a Data Scientist, you will work closely across DeepIntent Analytics teams located in New York City, India, and Bosnia. The role will support internal and external business partners in defining patient and provider audiences, and generating analyses and insights related to measurement of campaign outcomes, Rx, patient journey, and supporting evolution of DeepIntent product suite. Activities in this position include creating and scoring audiences, reading campaign results, analyzing medical claims, clinical, demographic and clickstream data, performing analysis and creating actionable insights, summarizing, and presenting results and recommended actions to internal stakeholders and external clients, as needed.
- Explore ways to to create better audiences
- Analyze medical claims, clinical, demographic and clickstream data to produce and present actionable insights
- Explore ways of using inference, statistical, machine learning techniques to improve the performance of existing algorithms and decision heuristics
- Design and deploy new iterations of production-level code
- Contribute posts to our upcoming technical blog
Who You Are:
- Bachelor’s degree in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, OR, or Data Science. Graduate degree is strongly preferred
- 3+ years of working experience as Data Analyst, Data Engineer, Data Scientist in digital marketing, consumer advertisement, telecom, or other areas requiring customer level predictive analytics
- Background in either data engineering or analytics
- Hands on technical experience is required, proficiency in performing statistical analysis in Python, including relevant libraries, required
- You have an advanced understanding of the ad-tech ecosystem, digital marketing and advertising data and campaigns or familiarity with the US healthcare patient and provider systems (e.g. medical claims, medications)
- Experience in programmatic, DSP related, marketing predictive analytics, audience segmentation or audience behaviour analysis or medical / healthcare experience
- You have varied and hands-on predictive machine learning experience (deep learning, boosting algorithms, inference)
- Familiarity with data science tools such as, Xgboost, pytorch, Jupyter and strong LLM user experience (developer/API experience is a plus)
- You are interested in translating complex quantitative results into meaningful findings and interpretable deliverables, and communicating with less technical audiences orally and in writing
Responsibilities :
- Lead the development of the backend systems for our client's first product.
- Build reliable, secure, and performant backend systems.
- Drive test coverage and continuous delivery automation within the team.
- Mentor and provide feedback to teammates.
- You should have a min of 8 years of software development experience and management.
- Can write code that is readable, maintainable, secure, and performant.
- Know the importance of tests and how to approach writing different types of tests, good intuition for REST API design
- Deep understanding of relational databases, transactions, entity-relationship modeling.
- Comfortable writing highly concurrent systems.
- Experienced in using profilers, tuning garbage collection, optimizing SQL queries.
Desired Skills :
- Golang, Java, Python, Ruby, Node.
Job Opportunity: Quality Engineer – Mechanical
Location: Gurugram
Qualifications:
- Full-time Degree/Diploma in Mechanical Engineering from a Govt. College/reputed private colleges.
- 3-6 years of experience in a similar role.
About the Role:
We are seeking a skilled and experienced Quality Engineer to join our dynamic team in Gurugram. As a Quality Engineer, you will play a pivotal role in ensuring the highest standards of quality in our engineering and manufacturing processes.
Key Responsibilities:
- Conduct in-house and supplier site inspections.
- Perform customer site installation audits and special interventions.
- Establish comprehensive guidelines for quality standards and checks.
- Investigate production and product issues, implementing corrective measures for improvement.
- Study drawings/documents for early issue identification.
- Prepare detailed reports on defective products, raw materials, and equipment malfunctions.
- Collaborate with internal teams, suppliers, and external technicians to meet organizational quality standards.
- Review customer feedback and implement changes to enhance products and satisfaction.
- Stay updated on safety and legal standards for manufacturing processes.
Must-Have Skills:
- Advanced MS Office Proficiency: Excel (Pivot tables, V lookup, formulas), Word, PowerPoint with excellent typing speed.
- Engineering Drawing Expertise: Proficient in interpreting machining and assembly engineering drawings.
- Machining Process Mastery: In-depth knowledge of various machining processes (Milling, Turning, Grinding, Welding, etc.).
- Equipment Proficiency: Handling a diverse range of equipment, from Sheet Metal fabrication to Centrifugal Pumps and Cooling Towers.
- GD&T Understanding: Solid grasp of Geometric Dimensioning and Tolerance principles.
- Quality Assurance Knowledge: Familiarity with Quality Assurance/Inspection General Standards.
- Precision Instrument Proficiency: Detailed knowledge of precision instruments for accurate measurements.
If you are passionate about ensuring quality excellence, have a Mechanical Engineering background, and possess the required skills, we invite you to apply. Join us in creating innovative solutions and maintaining the highest standards of quality in our dynamic work environment.
Apply now and be part of a team that values quality, precision, and continuous improvement.
Roles & Responsibilities:
- Keeping oneself updated about the recent upgrades and projects of the company.
- Responsible for calling potential customers, explaining our offers and fix meeting for sales team.
- Responsible for calling customers & answering their queries related to the product/services.
- Contact potential and existing customers to explain the product & services offered.
- Keep records of calls & inquiries and note useful information.
- Asking questions to the customer and understanding their real estate requirement.
- Set appointments with prospective customers based on our associates’ schedules.

Experience Install, Configure, Maintain & Lifecycle Management of Linux Systems | ||||||||||||||
Experience in Building & Maintaining File Systems, Storage Volumes including LVM concepts, LUNs, Swap etc | ||||||||||||||
Expert hands on Knownledge on Bash/Shell or Python scripting | ||||||||||||||
Build and maintain container orchestration platform (Docker) using Kubernetes, Openshift, Micro k8s or similar | ||||||||||||||
Develop and maintain automated processes, tools, and documentation in support of Docker and Kubernetes container orchestration platform | ||||||||||||||
Ability to perform automated infrastructure code test, integration, deployment, and assurance using DevOps and CI/CD methodologies for e.g. Jenkins, Gitlab is a plus | ||||||||||||||
Automation/Configuration Management with Ansible or Puppet and scripting | ||||||||||||||
Strong background in linux networking ( ip, iptables, ipsec ) | ||||||||||||||
Strong knowledge on configuration of diverse subsystems (systemd, printers, graphic adapters, networking, SELinux, firewalls…etc) | ||||||||||||||
Strong knowledge on Storage Concepts - NAS, NFS, SAN, RAID, ZFS | ||||||||||||||
Knowledge on creation and maintenance of repositories (intranet and internet) | ||||||||||||||
Hands on with Installation procedures: yum, kickstart, anaconda, plymouth | ||||||||||||||
UEFI/ legacy BIOS: How to boot, how to make a medium bootable, handling of keys etc. | ||||||||||||||
Strong Knowledge of wide variety of open source technologies/tools and cloud services | ||||||||||||||
Strong Knowledge of best practices and IT operations in an always-up, always-available service | ||||||||||||||
Experience in Server Virtualisation Technology mainly in VMware vSphere, vCenter, vSAN etc, Proxmox is a plus | ||||||||||||||
Experience in Setting Up DNS Bind and LDAP Directory Services is a plus | ||||||||||||||
Experience in using Atlassian toolchains – Jira & Confluence is a plus | ||||||||||||||
Knowledge on Ceph Storage technology is a plus Roles & Responsibilities
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● Demonstrated experience as a software engineer, with at least 5-8 years’ experience
in technology roles
● Experience working on complex systems and cloud architectures, preferably in a B2B
or enterprise context
● Significant experience with the Java programming language and frameworks such as
Spring & SpringBoot
● Good working experience with front-end Javascript frameworks such as ReactJS
● Experience optimizing databases and SQL queries for high-performance
● Good knowledge of AWS services, design patterns and practices - ideally certified
● Experience and keen understanding of the value of working in agile teams
● A “quality-first” mindset, with experience working in continuous integration
environments
● Highly effective at communicating, and comfortable whiteboarding design ideas with
teams of engineers, product managers, and business analysts
● Desire to challenge the status quo and maturity to know when to compromise
● Respect for other team members and a highly collaborative approach to working and
learning together
- Create email marketing campaigns to promote products or services.
- To plan, execute, test, establish best & effective email marketing practices.
- Purge non-deliverable email addresses and opt-outs
- Create email marketing strategy for leads as well as existing clients
- Create and maintain email marketing reports to improve efficiency
- Maintain domain reputation and In-boxing rates for all our email campaigns
- Plan and maintain email calendar for all the brands
- Maintain lists and database for efficient execution
- Single handedly responsible for execution of all email marketing campaigns
Roles and Responsibilities
● Managing Availability, Performance, Capacity of infrastructure and applications.
● Building and implementing observability for applications health/performance/capacity.
● Optimizing On-call rotations and processes.
● Documenting “tribal” knowledge.
● Managing Infra-platforms like
- Mesos/Kubernetes
- CICD
- Observability(Prometheus/New Relic/ELK)
- Cloud Platforms ( AWS/ Azure )
- Databases
- Data Platforms Infrastructure
● Providing help in onboarding new services with the production readiness review process.
● Providing reports on services SLO/Error Budgets/Alerts and Operational Overhead.
● Working with Dev and Product teams to define SLO/Error Budgets/Alerts.
● Working with the Dev team to have an in-depth understanding of the application architecture and its bottlenecks.
● Identifying observability gaps in product services, infrastructure and working with stake owners to fix it.
● Managing Outages and doing detailed RCA with developers and identifying ways to avoid that situation.
● Managing/Automating upgrades of the infrastructure services.
● Automate toil work.
Experience & Skills
● 3+ Years of experience as an SRE/DevOps/Infrastructure Engineer on large scale microservices and infrastructure.
● A collaborative spirit with the ability to work across disciplines to influence, learn, and deliver.
● A deep understanding of computer science, software development, and networking principles.
● Demonstrated experience with languages, such as Python, Java, Golang etc.
● Extensive experience with Linux administration and good understanding of the various linux kernel subsystems (memory, storage, network etc).
● Extensive experience in DNS, TCP/IP, UDP, GRPC, Routing and Load Balancing.
● Expertise in GitOps, Infrastructure as a Code tools such as Terraform etc.. and Configuration Management Tools such as Chef, Puppet, Saltstack, Ansible.
● Expertise of Amazon Web Services (AWS) and/or other relevant Cloud Infrastructure solutions like Microsoft Azure or Google Cloud.
● Experience in building CI/CD solutions with tools such as Jenkins, GitLab, Spinnaker, Argo etc.
● Experience in managing and deploying containerized environments using Docker,
Mesos/Kubernetes is a plus.
● Experience with multiple datastores is a plus (MySQL, PostgreSQL, Aerospike,
Couchbase, Scylla, Cassandra, Elasticsearch).
● Experience with data platforms tech stacks like Hadoop, Hive, Presto etc is a plus

- 2-4 years of experience, with at least 1-2 years of experience in testing Web Applications/Services, UI testing.
- Good exposure to Non-functional tests strategies like Load, Perf and Chaos.
- Good understanding of testing principles: UI and Usability testing, Stress testing, Functional/Regression testing, Code coverage, TDD/BDD, UAT.
- Experience in deploying solutions into AWS is a major plus.
- Good team player, having effective and professional oral and written communication skills.

