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- Sr. Data Engineer:
Core Skills – Data Engineering, Big Data, Pyspark, Spark SQL and Python
Candidate with prior Palantir Cloud Foundry OR Clinical Trial Data Model background is preferred
Major accountabilities:
- Responsible for Data Engineering, Foundry Data Pipeline Creation, Foundry Analysis & Reporting, Slate Application development, re-usable code development & management and Integrating Internal or External System with Foundry for data ingestion with high quality.
- Have good understanding on Foundry Platform landscape and it’s capabilities
- Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Defines company data assets (data models), Pyspark, spark SQL, jobs to populate data models.
- Designs data integrations and data quality framework.
- Design & Implement integration with Internal, External Systems, F1 AWS platform using Foundry Data Connector or Magritte Agent
- Collaboration with data scientists, data analyst and technology teams to document and leverage their understanding of the Foundry integration with different data sources - Actively participate in agile work practices
- Coordinating with Quality Engineer to ensure the all quality controls, naming convention & best practices have been followed
Desired Candidate Profile :
- Strong data engineering background
- Experience with Clinical Data Model is preferred
- Experience in
- SQL Server ,Postgres, Cassandra, Hadoop, and Spark for distributed data storage and parallel computing
- Java and Groovy for our back-end applications and data integration tools
- Python for data processing and analysis
- Cloud infrastructure based on AWS EC2 and S3
- 7+ years IT experience, 2+ years’ experience in Palantir Foundry Platform, 4+ years’ experience in Big Data platform
- 5+ years of Python and Pyspark development experience
- Strong troubleshooting and problem solving skills
- BTech or master's degree in computer science or a related technical field
- Experience designing, building, and maintaining big data pipelines systems
- Hands-on experience on Palantir Foundry Platform and Foundry custom Apps development
- Able to design and implement data integration between Palantir Foundry and external Apps based on Foundry data connector framework
- Hands-on in programming languages primarily Python, R, Java, Unix shell scripts
- Hand-on experience in AWS / Azure cloud platform and stack
- Strong in API based architecture and concept, able to do quick PoC using API integration and development
- Knowledge of machine learning and AI
- Skill and comfort working in a rapidly changing environment with dynamic objectives and iteration with users.
Demonstrated ability to continuously learn, work independently, and make decisions with minimal supervision
We are looking for an experienced GCP Cloud Engineer to design, implement, and manage cloud-based solutions on Google Cloud Platform (GCP). The ideal candidate should have expertise in GKE (Google Kubernetes Engine), Cloud Run, Cloud Loadbalancer, Cloud function, Azure DevOps, and Terraform, with a strong focus on automation, security, and scalability.
You will work closely with development, operations, and security teams to ensure robust cloud infrastructure and CI/CD pipelines while optimizing performance and cost.
Key Responsibilities:
1. Cloud Infrastructure Design & Management
· Architect, deploy, and maintain GCP cloud resources via terraform/other automation.
· Implement Google Cloud Storage, Cloud SQL, file store, for data storage and processing needs.
· Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
· Optimize resource allocation, monitoring, and cost efficiency across GCP environments.
2. Kubernetes & Container Orchestration
· Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
· Work with Helm charts, Istio, and service meshes for microservices deployments.
· Automate scaling, rolling updates, and zero-downtime deployments.
3. Serverless & Compute Services
· Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
· Optimize containerized applications running on Cloud Run for cost efficiency and performance.
4. CI/CD & DevOps Automation
· Design, implement, and manage CI/CD pipelines using Azure DevOps.
· Automate infrastructure deployment using Terraform, Bash and Power shell scripting
· Integrate security and compliance checks into the DevOps workflow (DevSecOps).
Required Skills & Qualifications:
✔ Experience: 8+ years in Cloud Engineering, with a focus on GCP.
✔ Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions).
✔ Kubernetes & Containers: Experience with GKE, Docker, GKE Networking, Helm.
✔ DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation.
✔ Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources.
✔ Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation.
✔ Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards.
JOB DESCRIPTION:
Location: Pune, Mumbai
Mode of Work : 3 days from Office
DSA(Collections, Hash maps, trees, Linkedlist and Arrays, etc), Core Oops concepts(Multithreading, Multi Processing, Polymorphism, Inheritance etc) Annotations in Spring and Spring boot, Java 8 Vital features, database Optimization, Microsevices and Rest API
- Design, develop, and maintain low-latency, high-performance enterprise applications using Core Java (Java 5.0 and above).
- Implement and integrate APIs using Spring Framework and Apache CXF.
- Build microservices-based architecture for scalable and distributed systems.
- Collaborate with cross-functional teams for high/low-level design, development, and deployment of software solutions.
- Optimize performance through efficient multithreading, memory management, and algorithm design.
- Ensure best coding practices, conduct code reviews, and perform unit/integration testing.
- Work with RDBMS (preferably Sybase) for backend data integration.
- Analyze complex business problems and deliver innovative technology solutions in the financial/trading domain.
- Work in Unix/Linux environments for deployment and troubleshooting.
Role Overview:
Virtana is looking for a Senior DevOps Engineer to join our R&D Infrastructure team. In this role, you won't just follow conventions — you'll help redefine them. You will own the architecture, build, and day-to-day operations of the GCP-based cloud platform that powers Virtana's SaaS products and the AI-driven observability experience our Global 2000 customers depend on. This is a hands-on senior individual contributor role with meaningful technical leadership scope, working alongside engineers and architects on a unified observability platform.
Work Location: Pune
Job Type: Hybrid
Role Responsibilities:
- GCP Cloud Operations: Develop, deploy, operate, and support production cloud infrastructure primarily on GCP — leveraging GKE, BigTable, BigQuery, Dataflow, Cloud Storage, IAM, and core networking services.
- Reliability & SLAs: Ensure production systems are running at all times with multiple levels of redundancy to meet committed SLAs; lead incident response, root cause analysis, and post-incident reviews.
- Build & Release Automation: Design, implement, and continuously improve scalable CI/CD pipelines and test frameworks leveraged by QA and development teams across the company.
- Infrastructure as Code: Manage large-scale, repeatable deployments using Terraform, Ansible, Puppet, or SaltStack; champion Git-based workflows and version control standards for distributed engineering teams.
- Security & Availability: Maintain the ongoing maintenance, security, patching, and availability of services in line with tight operations, security, and procedural models.
- Monitoring & Alerting: Plan and deliver high-value monitoring and alerting features to support operations, support, and customer-facing reliability — eating our own dog food with the Virtana Platform wherever possible.
- Capacity & Cost: Forecast capacity, plan upgrades, patches, and migrations, and drive cloud cost efficiency across hybrid and multi-cloud environments.
- Cross-Functional Partnership: Work with development, operations, and support personnel to identify, isolate, and diagnose issues; handle support escalations and drive permanent fixes.
Required Qualifications:
- Bachelor's degree in Computer Science / Engineering or equivalent relevant experience.
- 5–7 years of professional hands-on DevOps / SRE experience supporting production cloud environments.
- Strong, demonstrable production experience on GCP — including GKE, BigTable, BigQuery, Dataflow, IAM, and core GCP networking services.
- Deep, hands-on expertise with container orchestration (Kubernetes) and Docker in production.
- Advanced proficiency with at least one infrastructure-as-code / configuration management tool: Terraform, Ansible, Puppet, or SaltStack.
- Solid understanding of networking, firewalls, load balancers, DNS, and database operations.
- Strong working knowledge of Git-based workflows and version control standards for distributed engineering teams.
- Comfort operating hybrid environments that include both Linux and Windows ecosystems.
- Excellent verbal and written communication skills, with the ability to explain highly technical topics to both technical and non-technical audiences.
- Self-motivated, detail-oriented, and able to work both independently and within a globally distributed team.
Good to Have:
- Strong scripting skills and a demonstrated ability to automate operational toil — Python preferred; Bash, Go, or Groovy a plus.
- Hands-on experience designing and operating CI/CD pipelines with Jenkins (Spinnaker, GitHub Actions, or GitLab CI also welcome).
- Exposure to AWS or other public clouds in addition to GCP.
- Experience operating SaaS platforms built on microservices architectures.
We are looking for a talented and driven Data Scientist to join our growing Analytics team in India. In this role, you will work at the intersection of advanced machine learning, scalable MLOps infrastructure, and domain-specific healthcare analytics. You will collaborate closely with cross-functional teams to build, deploy, and maintain production-grade ML models that drive real-world impact in clinical trials and healthcare operations.
KEY RESPONSIBILITIES
End-to-End ML Development
• Design, build, and optimize predictive models across the full ML lifecycle—from data ingestion to model serving.
• Conduct rigorous Exploratory Data Analysis (EDA) to surface insights and drive feature engineering decisions.
• Validate model performance using appropriate statistical techniques and domain knowledge.
MLOps & Production Deployment
• Deploy, monitor, and maintain production-grade ML models using Databricks MLFlow endpoints and Unity Catalog.
• Implement CI/CD pipelines for model versioning, experiment tracking, and automated retraining.
• Ensure model reliability, observability, and performance in live production environments.
Language Models & LLM Applications
• Apply transformer-based models (BERT, ClinicalBERT, Trial2Vec) for NLP tasks including classification, NER, and information extraction.
• Build and maintain vector similarity search pipelines for semantic retrieval and recommendation use cases.
• Fine-tune pre-trained models for domain-specific applications in clinical and healthcare contexts.
• Support exploratory work around LLM integration and prompt engineering for internal tooling.
Domain-Driven Analytics
• Apply advanced analytics within complex healthcare and clinical trial datasets—including patient records, trial protocols, and adverse event data.
• Translate ambiguous business problems into structured analytical frameworks with measurable outcomes.
• Partner with domain experts, product managers, and engineering teams to deliver data-driven solutions.
REQUIRED QUALIFICATIONS
Education
• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Bioinformatics, or a closely related field.
Experience
• 2–4 years of hands-on experience in a data science or machine learning role.
• Demonstrable experience deploying ML models in production environments (not just prototyping).
Technical Skills
• Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch / TensorFlow).
• Experience with Databricks, MLFlow (experiment tracking, model registry, endpoints), and Unity Catalog.
• Hands-on experience with BERT-family models and Hugging Face Transformers library.
• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding-based retrieval.
• Solid understanding of SQL and working with large structured/unstructured datasets.
• Exposure to cloud platforms (AWS / GCP / Azure) and distributed computing frameworks (Spark).
GOOD TO HAVE
• Prior experience with clinical trial data standards (CDISC, CDASH, SDTM) or healthcare ontologies (SNOMED, ICD-10).
• Familiarity with Trial2Vec or similar trial-to-vector embedding approaches.
• Experience with LLM fine-tuning, RAG pipelines, or prompt engineering in a production setting.
• Knowledge of regulatory and compliance considerations in healthcare AI (e.g., FDA guidelines, HIPAA).
• Contributions to open-source ML projects or published research.
THIS ROLE IS NOT FOR YOU IF…
• You have strong SQL/BI skills but limited hands-on ML modelling experience — or you’ve built models only in notebooks without ever deploying them to production.
• Your LLM exposure is limited to API calls and prompt engineering — with no experience fine-tuning models, working with embeddings, or building vector search pipelines.
Job Role: Business Development Executive
- Exp: 1+ yr exp is preferable
- Salary: Upto 3LPA
- Timings: Monday to Friday Day shift sat sun fixed off
- Age below 30
About the Role:
➢ Achieving month's Sales Targets of enrolling students for BFSI courses.
➢ Mobilization of youth and graduates to ensure minimum expected enrolments in the programs.
➢ Conduct community mapping and profiling exercise to identify key stakeholders and NGOs to partner with us.
➢ Organize events/Sessions/workshop for communities with parents, underprivileged graduates, NGOs and other stakeholders to build awareness in the
community.
➢ Conduct follow-ups on call with children, parents, NGOs and other stakeholders.
➢ Maintain the data of mobilization, planning, stakeholder forms, MOUs, Minutes of meetings, Individual meet forms, Photographs of Events, Community Events reports, NGO Profile forms.
Salesforce Developer - LWC & Sales cloud & service cloud
having 5 yrs exp in Salesforce development
Education- BE BTech MTech MCA
Location: Pune , Bangalore
About Telstra:
Telstra is Australia’s leading telecommunications and technology company, with operations in more than 20 countries. At Telstra, We've implemented an IT strategy that employs leading-edge software engineering practices to help deliver a superior customer experience with improved trust and speed of delivery, lower cost, and simplified architecture, systems and processes.
Your key responsibilities and major tasks include, but are not limited to
- As a backend Java developer, you will work within a specific problem space critical to Telstra’s current needs where you will design, develop, and deploy backend services with a focus on scalability, high availability, and low latency.
- Review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements.
- Apply engineering best practices such as Agile, CI/CD, and DevOps as part of a high performing motivated team.
- Collaborate and grow in a dynamic and autonomous environment while working in small, agile, and cross functional teams
- Pivot to working on new features and developments, to providing production support in the production and pre-production environments assisted by all team members. This responsibility is equally shared by all members of the team.
We are looking for candidates with the following experience and skills:
Essential skills and Experience
- 3 years – 7 years year experience in this area
- Must have strong Java programming background (preferably Java 8+)
- Preferred Frameworks – Spring Boot
- Unit Testing, Integration testing and Automated testing.
- Experience with Continuous Integration/Deployment
- Microservices development – HTTP, REST API design and implementation
- Comfortable to operate in an agile, dynamic environment.
We are looking for a Talent Acquisition Executive for Merito. Merito is a curated talent platform where we identify, assess, and connect candidates for matching job opportunities. We are working with the mission to change the way hiring is done. The company is founded by a team, consisting of alumni from IIM Ahmedabad, McKinsey with more than 2 decades of experience in recruitment, training, and coaching.
Job Profile:
Client onboarding and engagement.
Analyzing requirements and creating job descriptions.
Ensuring quality recruitment and selection within agreed TAT.
Individually contributing toward closing key executive search requirements
Requirements
1-3 years of agency recruitment experience for Tech / Non-Tech / leadership roles.
Minimum 1 year experience with executive search
Hands-on experience with optimally utilizing ATS and other recruitment software.
Benefits
Fixed Pay + Variables
ROR Hiring Alert...!
NeoSOFT Pvt Ltd. (A CMMi Level 5 Organization) has an excellent opportunity for ROR Developers.
Eligibility Criteria:
- 1 to 7 years of experience in working with ROR.
- Strong Database fundamentals.
- Excellent written and verbal communication.
- Proven experience in developing Web applications.
- Experience in working with cloud will be added advantage.
Location:- Mumbai/Pune/Ahmedabad/Noida/Indore
Required Skills
As a developer, you have a passion for development and a thirst to learn. You enjoy working in a fast-paced and dynamic environment. You are a quick learner who can step up and take ownership of work to get things done on time. You also enjoy and appreciate working and collaborating with others from various backgrounds as part of a team.
Job Requirement
- Full-stack developer with exposure working in building products from scratch
- Have 2+ years in implementing front-end of applications using ReactJS
- Proficient in HTML 5, CSS 3, Bootstrap Ant-D, Redux, JavaScript and writing cross-browser compatible code
- Good knowledge of MVC, MVVM, OOPS concepts, Web Development Concept.
- Experience with RESTful services
- Work experience any one of the backend technologies such as Java, NodeJS, .NET will be a major plus
- Experience in JavaScript build tools such as web-pack /gulp
- Familiar with testing frameworks (such as Jasmine) and Test runner framework (such as Karma) (good to have)
- Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system
- Knows unit testing
- Critical thinker and problem-solving skills
- Good time-management skills
- Great interpersonal and communication skills
Duty /Responsibility
- Your specific duties in this role will include:
- Responsible for the front end/UI development for of the web-based and mobile-based application
- Responsible for communicating with clients
- Responsible for communicating with Designing Team and Team Manager
- Responsible for Requirement Analysis
- Responsible for mentoring junior front-end developers
- Responsible for researching new web technologies
- Responsible for developing POCs
- Respond to technical queries/requests from team members and customers.
- Coach, guide, and mentor junior members in the team.




