Internship: Node.js Eligibility: B.Tech/M.Tech/CSE/ECE/BE- IT/M.Sc-IT/MCA Duration: 3 months Possible conversion to paid intern/ full-time based on performance after 3 months. At DataFoundry AI, we are thrilled to offer a one-of-a-kind internship program for individuals looking to immerse themselves in the realm of AI-enabled products in life sciences. Our program provides a chance for aspiring talents to acquire invaluable insights and practical skills in product development while working alongside a team of seasoned professionals. We believe in nurturing talent and providing a platform for growth. As an intern, you will have the opportunity to contribute to our AI-enabled life sciences products and make a meaningful impact through your work. If you are a recent graduate ready to kick-start your career, our internship program is designed to help you thrive and succeed.
Job Title: Senior DevOps Engineer Location: Bangalore, Karnataka, India Experience: 3-5 years Qualification: Masters or bachelors degree in computer science or software engineering or equivalent. Technical Skills: Tool chain Management: Select, configure, and maintain the tools and technologies used for continuous integration, continuous deployment, version control, monitoring, and automation. Hands on experience with BitBucket/ GitHub, Jenkins, Sonar, Trivy Monitoring Tools: Zabbix, Prometheus, Grafana (one or more) CI/CD Pipeline Design & Implementation: Develop and maintain CI/CD pipelines for automated build, test, and deployment processes. Configure and manage CI/CD tools such as Jenkins Implement and optimize pipeline processes to ensure fast and reliable software delivery. CI/CD Integration & Deployment: Integrate various systems and tools used in the development and deployment process. Automate deployments to various environments (e.g., development, QA, Staging, production). Monitor and manage deployment environments, ensuring high availability and performance. Implement automated testing frameworks and tools within the CI/CD pipelines to ensure code quality. Monitor pipeline performance, troubleshoot issues, and perform root cause analysis for failures. Ensure compliance with security standards and best practices. Infrastructure Management: Design, deploy, and manage infrastructure using cloud services and infrastructure as code (IaC) tools CI/CD, IAC, CAC in Azure, AKS/Terraform/ Ansible. Release Management: Coordinate the release process, ensuring smooth and reliable delivery of software updates. Azure: Thorough understanding of infra/ network provisioning in Azure Cloud. Hands on working with AKS configurations and trouble shooting. Monitoring and Performance: Monitoring /Trouble shooting skills to detect and address issues proactively, and optimize system performance using Zabbix, Prometheus, Grafana and other related tools. Additional Skills: AWS Route53, Ingress, Load BalancersGit, Networking, Linux, Azure Cloud, Micro Services -Containerization (Docker), Orchestration (Kubernetes) Scripting: Shell, Groovy, YAML, Python APIs /API Managers: Azure APIM and KONG API Manager. API testing and trouble shooting. Databases: Managing and Troubleshooting Databases such as Postgres, MS SQL, Elastic Search, Redis Linux: Navigating the Filesystem, Shell Scripting, Package Management, Disk Usage, System, Log Files Network Configuration: Basic setup and troubleshooting of network interfaces and connectivity issues Remote Access: Using SSH for remote access and configuration. Debugging: Skills in troubleshooting issues using system logs, debugging tools, and analysing system behaviour. Error Analysis: Identifying and resolving errors related to system performance, application crashes, and deployment failures. Other Skills: Ownership: Owning a task or issue and work till proper completion. Flexibility: As DevOps Engineer, candidate should be flexible and available for any critical task during and beyond working hours. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills with various teams, stake holders Ability to work independently and as part of a team Strong organizational and time management skills Risk Management: Identify potential risks and vulnerabilities in the development and deployment pipeline and implement measures to mitigate them. Documentation and Reporting: Document configurations, processes, and best practices, and generate reports on key performance metrics and progress towards DevOps goals. Join our team at Datafoundry to be part of an exciting journey as we revolutionize the way organizations leverage data to gain a competitive advantage. We offer an attractive compensation and bonus package, a flexible remote work environment, and ample opportunities for professional growth.
Internship: Flutter Development Eligibility: B.Tech/M.Tech/CSE/ECE/BE- IT/M.Sc-IT/MCA Duration: 3 months Applicant must be a 2024/2025 graduate. Kindly do not apply if you are graduating in 2026 or later. Required skillset for Flutter Intern: Strong basics of Dart programming. Understanding of Flutter widgets, layouts, and navigation. Experience in building simple Android/iOS apps Familiarity with API integration, JSON, and state management. Possible conversion to paid intern/ full-time based on performance after 3 months. At DataFoundry AI, we are thrilled to offer a one-of-a-kind internship program for individuals looking to immerse themselves in the realm of AI-enabled products in life sciences. Our program provides a chance for aspiring talents to acquire invaluable insights and practical skills in product development while working alongside a team of seasoned professionals. We believe in nurturing talent and providing a platform for growth. As an intern, you will have the opportunity to contribute to our AI-enabled life sciences products and make a meaningful impact through your work. If you are a recent graduate ready to kick-start your career, our internship program is designed to help you thrive and succeed.
Internship: AI ML Intern Duration: 3 months Location: Remote Job Description: This is a remote internship opportunity for an AI/ML Intern. The intern will contribute to designing, developing, and implementing machine learning models and AI solutions while working closely with the data science and engineering teams. Responsibilities include data preprocessing, feature engineering, training and evaluating models, and assisting in deploying them into production environments. The intern will also help in researching the latest AI/ML techniques, debugging model performance issues, documenting workflows, and staying updated with advancements in artificial intelligence and machine learning. Qualifications: Graduation (B.Tech/M.Tech/CSE/ECE/BE- IT/M.Sc-IT/MCA) Apply only if have graduated in 2025 or before. If you are graduating in 2026 or after, kindly do not apply! Roles and Responsibilities: Support in building and maintaining AI/ML models for real-world applications. Work on data preprocessing, feature extraction, and performance optimization. Assist in integrating models with applications and debugging issues. Stay updated with the latest AI/ML frameworks, tools, and research trends. Possible conversion to paid intern/ full-time based on performance after 3 months. At DataFoundry AI, we are thrilled to offer a one-of-a-kind internship program for individuals looking to immerse themselves in the realm of AI-enabled products in life sciences. Our program provides a chance for aspiring talents to acquire invaluable insights and practical skills in product development while working alongside a team of seasoned professionals. We believe in nurturing talent and providing a platform for growth. As an intern, you will have the opportunity to contribute to our AI-enabled life sciences products and make a meaningful impact through your work. If you are a recent graduate ready to kick-start your career, our internship program is designed to help you thrive and succeed.
Position Summary: We are seeking BioTech Intern to contribute within the pharmacovigilance product development team. You will leverage your deep understanding of safety data management, risk management systems, and regulatory compliance to support the design, implementation, and enhancement of our safety products. This role will involve collaborating with cross-functional teams and external stakeholders, ensuring that safety products meet the evolving needs of the pharmacovigilance domain. Skills & Qualifications: Education: A degree in Pharmacy or a related field. A masters degree or equivalent experience is a plus. (Do not apply if you are graduating in 2026 or later) Experience: Fresher Key Responsibilities: Assist in writing and editing content for blogs, website pages, social media, newsletters Collaborate with design, marketing, and product teams Stay updated with content trends, digital tools, and best practices Basic understanding of SEO and content marketing is an added advantage Additional Responsibilities: 1. Data Curation for Machine Learning Models: Assist in collecting, cleaning, and organizing biological and healthcare-related datasets to support machine learning model training. Ensure data integrity and consistency by identifying and addressing any gaps, outliers, or inconsistencies within the data. Collaborate with data scientists and machine learning engineers to prepare high quality datasets for training, validation, and testing of models. Work with bioinformatics tools and software for data processing and analysis. Contribute to the development of data pipelines and automating data workflows. 2. Product Management and Development: Assist the product management team in defining product requirements, user stories, and features for AI-based healthtech solutions. Help in the creation and refinement of roadmaps and timelines for product development, ensuring data requirements are well understood and executed. Collaborate with cross-functional teams (e.g., engineering, design, research) to implement product features and enhancements. Support user acceptance testing (UAT) and feedback loops from users to improve product functionality. 3. Research and Innovation: Participate in research efforts for the application of AI in biotechnology and healthcare, exploring new ways to utilize AI technologies for innovative solutions. Stay updated with the latest trends, papers, and developments in AI, ML, and biotechnology to bring innovative ideas into the product development process. Collaborate with research teams to translate academic findings into practical applications. 4. Documentation and Reporting: Maintain clear documentation of data curation processes, model training, and product feature development. Assist in preparing reports, presentations, and other materials to communicate findings, product updates, and research outcomes to stakeholders. Contribute to the writing of technical documentation and product specifications. 5. AI/ML Model Support and Evaluation: Support the testing and evaluation of machine learning models by providing annotated datasets and insights into data trends. Help in the assessment and optimization of existing models for better prediction and performance in healthcare applications. Monitor model outputs and assist in analysing performance metrics (e.g., accuracy, recall, precision) in the healthcare context. 6. Cross-disciplinary Collaboration: Work closely with bioinformaticians, engineers, healthcare experts, and product managers to ensure seamless integration of AI technologies into health tech products. Engage in regular meetings with stakeholders to gather feedback, assess progress, and ensure that objectives are met. 7. Learning and Professional Development: Continuously develop knowledge and expertise in AI/ML technologies, biotech applications, and product management practices. Participate in training sessions, workshops, and seminars related to biotechnology, AI, and health tech. Explore mentorship opportunities within the organization to understand career pathways in AI healthtech.
Key Responsibilities: Develop, test, and deploy applications using Python. Write efficient and optimized SQL queries, stored procedures, and database functions. Design and maintain data models, ETL pipelines, and reporting solutions. Collaborate with product managers, analysts, and other developers to deliver requirements. Ensure application performance, data integrity, and security across platforms. Debug, optimize, and refactor existing Python/SQL code on a needed basis. Document technical solutions and follow best practices for coding and version control. Implement and manage CI/CD pipelines (GitHub Actions, or similar). Containerize applications using Docker and manage orchestration with Kubernetes / EKS. Work with cloud platforms (AWS) to deploy and monitor applications. Key Skills: 3-to-5-year experience with Strong proficiency in Python (3.x) for application and scripting. Hands-on experience with SQL (Snowflake, PostgreSQL). Solid understanding of database design, normalization, and performance tuning. Experience with Python, flask, and fast API data libraries. Exposure to Ruby Experience in R libraries (dplyr) Familiarity with APIs, REST services, and JSON data handling. Knowledge of Git/GitHub for version control. Good problem-solving and debugging skills. Excellent communication, colloboration and teamwork skills. Domain exposure to life sciences DevOps Tools: Docker, Git Cloud Platforms: AWS.
Job Title: Senior DevOps Engineer Location: Bangalore, Karnataka, India Experience: 5+years Qualification: Masters or bachelors degree in computer science or software engineering or equivalent. Technical Skills: Key responsibilities: - Container Orchestration: Deploy, maintain and optimize applications using Docker and Kubernetes. - Cloud management : Architect and manage cloud infrastructure in Azure, ensuring high availability - Version Control: Manage and optimize workflows using Git for source code and infrastructure repositories. - Pipeline Automation: Develop and maintain CI/CD pipelines, leveraging tools like Jenkins CI/CD where applicable. - Infrastructure as Code (IaC): Design and manage infrastructure using Terraform to automate deployment processes. - Monitoring & Troubleshooting: Implement robust monitoring systems and troubleshoot infrastructure or application issues. - Collaboration: Partner with development, QA, and security teams to ensure seamless delivery and system stability. - Documentation: Create and maintain comprehensive documentation for processes, configurations, and standards. Required Skills: - Strong Proficient in Docker and container orchestration tools like kubernetes. - Advanced knowledge of Azure (e.g., AKS, API management services, ACR, Virtual machines, snapshots, keyvault, Application insights and others). - Experience with Jenkins CI/CD or other CI/CD tools. - Expertise in Terraform, including authoring IAC, modules, managing and debugging deployment states. - Solid understanding and hands-on experience with Git version control. - Strong proficiency in Linux Nice-to-Have Skills: - Proficiency in Python/shell scripting for automation and tooling. - Expertise in Azure Cost Optimization - Prior experience with observability / monitoring / alerting, preferably in Zabbix or similar platform - Experience working on Databases like postgres / Elastic search / redis Join our team at Datafoundry to be part of an exciting journey as we revolutionize the way organizations leverage data to gain a competitive advantage. We offer an attractive compensation and bonus package, a flexible remote work environment, and ample opportunities for professional growth.
We are looking for a proactive HR Recruiter Intern to support the end-to-end hiring process across various roles within the organization. This role involves sourcing, screening, and coordinating interviews, along with maintaining candidate databases and assisting in recruitment-related projects. The ideal candidate will be passionate about recruitment, eager to learn, and ready to take ownership of day-to-day HR coordination tasks in a fast-paced, remote work environment. Skills & Qualifications: Education: Must have completed Graduation/Post Graduation (BBA/MBA/PGDM in HR or related field) Experience: Internship experience in Recruitment/HR preferred Strong verbal and written communication skills Proficiency in using job portals (LinkedIn, Naukri, etc.) and MS Excel/Google Sheets Good understanding of hiring processes, sourcing techniques, and interview coordination Attention to detail, time management, and ability to handle confidential information professionally Key Responsibilities: 1. Assist in end-to-end recruitment activities including sourcing, screening, and shortlisting candidates. 2. Coordinate and schedule interviews between candidates and hiring managers. 3. Maintain and update candidate databases and recruitment trackers. 4. Draft and post job descriptions across various job portals and social media platforms. 5. Conduct initial screening calls to assess candidate fit and interest. 6. Support HR in maintaining records of hiring metrics and recruitment performance reports. 7. Collaborate with internal teams to understand hiring requirements and priorities. 8. Assist in onboarding coordination and documentation for selected candidates. Join our team at Datafoundry to be part of a dynamic HR function that drives the organizations growth through talent acquisition. We offer a flexible remote work setup, hands-on experience with modern recruitment tools, and opportunities to learn and contribute to a fast-evolving AI-driven organization.
Job Title: Inside Sales Executive (3-5 Years Experience) Role Overview: This role will be vital in generating leads, qualifying prospects, managing the full sales cycle, and closing deals. Hiring someone with 35 years experience ensures that the candidate can ramp quickly, hit targets, and require minimal hand-holding. Key Responsibilities: Generate new business via outbound outreach (calls, emails, etc.) and handle inbound leads. Qualify prospects, do product demos, negotiate deals & close sales. Manage your sales pipeline in CRM, maintain accurate records & forecast sales. Hit sales targets and contribute to revenue growth. Collaborate with marketing & product teams to refine messaging and customer feedback. Candidates Profile: 3-5 years in inside sales (Healthcare IT sales preferred), ideally selling tech/SaaS/AI/data-driven products/ CRO sales experience Proven track record of meeting or exceeding targets. Excellent verbal & written communication, negotiation skills. Comfortable with cold outreach and consultative selling. Strong organizational skills, self-starter attitude, able to work independently. Experience using CRM tools and sales workflows.