Description Jhpiego is a nonprofit global health leader and Johns Hopkins University affiliate that is saving lives, improving health, and transforming futures. We partner with governments, health experts, and local communities to build the skills and systems that guarantee a healthier future for women and families. Jhpiego translates the best science and practices into moments of care that can mean the difference between life and death for women and families. The moment a woman gives birth, the moment a midwife helps a newborn to breathe. Through our partnerships, we are revolutionizing health care for the world s most disadvantaged and vulnerable people. In India, Jhpiego works across various states in close collaboration with national and state governments, providing technical assistance in the areas of family planning, maternal and child health, strengthening human resources for health, and non-communicable diseases. These programs are funded by USAID, the Bill Melinda Gates Foundation, the David Lucile Packard Foundation, GIZ, the Children s Investment Fund Foundation (CIFF), and other anonymous donors. We are looking for a highly motivated and detail-oriented individual to assist in our research and learning efforts for the RISE (Reaching Impact Saturation and Epidemic Control) project. The successful candidate will work under the Senior Monitoring, Evaluation, Research, and Learning Officer, focusing on quantifying the impact of our programs on infectious disease outbreaks through rigorous mathematical/epidemiological modeling and advanced statistical techniques. Responsibilities End-to-end outbreak modelling independently code, calibrate and run basic compartmental, agent-based models or other statistical models (e.g., SIR/SIRS/SEIR, time-series regressions) to estimate outbreaks averted, life saves from specific interventions and forecast near-term trends. Use counterfactual scenarios to quantify the impact of interventions by comparing modeled outcomes with and without specific response strategies and simulate the impact of resource allocation on outbreak outcomes to inform resource planning. Data acquisition cleaning source routine surveillance and programme datasets, write reproducible scripts to clean/merge them, and document data dictionaries. Incorporate demographic factors (e.g., age, comorbidities, population density) and epidemiological data (e.g., case fatality rates, transmission rates) into models to improve the accuracy of lives saved estimates for specific populations and adjust models to account for India-specific health system constraints and regional variations in outbreak dynamics Parameter estimation uncertainty analysis fit models to data with likelihood-based or simple Bayesian methods; produce confidence/credible intervals and sensitivity checks. Regular analytic reports generate clear tables, graphs, and slide decks that translate model outputs into actionable insights for programme managers and donors. Generate reports and visualizations summarizing lives saved and infections averted, tailored for policymakers, donors, and program teams Conduct analytics (Bayesian/MLE calibration, uncertainty quantification, ensemble forecasting) and translate results into dashboards and briefs for programme teams and donors. Evidence scans conduct rapid literature reviews on modelling methods and intervention impact; keep a living repository of key parameters and priors. Perform systematic literature reviews and landscape analyses of outbreak-response interventions. Draft manuscripts, policy briefs, and donor reports; shepherd them through peer review. Tool development maintenance build and update simple R Markdown / Python notebooks or Shiny/Dash dashboards so non-technical colleagues can explore scenarios. Documentation reproducibility maintain well-commented code, version control (Git), and workflow descriptions to ensure analyses can be audited or handed over smoothly. Team liaison capacity sharing explain modelling assumptions and outputs to epidemiologists, programme staff, and leadership; train pr

Job description What is Hunch Hunch is a dating app that helps you land a date without swiping like a junkie. Designed for people tired of mindless swiping and commodified matchmaking, Hunch leverages a powerful AI-engine to help users find meaningful connections by focusing on personality over just looks. With 2M+ downloads and a 4.4-star rating , Hunch is going viral in the US by challenging the swipe-left/right norm of traditional apps. Hunch is a Series A funded ($23 Million) startup building the future of social discovery in a post-AI world. Link to our fundraising announcement Key offerings of Hunch: Swipe Less, Vibe More: Curated profiles, cutting the clutter of endless swiping. Personality Matters: Opinion-based, belief-based, and thought-based compatibility rather than just focusing on looks. Every Match, Verified: No bots, no catfishing just real, trustworthy connections Match Scores: Our AI shows compatibility percentages, helping users identify their 100% vibe match. Position Overview We are looking for a Principal Data Scientist with Strong foundations in machine learning theory and mathematics . Experience in designing and implementing end-to-end machine learning solutions across various domains (e.g., computer vision, NLP, Recommender System etc.). Hands-on experience with deep learning frameworks (preferably PyTorch ) and traditional ML models. Proven ability to translate business problems into data problems and deliver effective solutions. Expertise in structuring clean, maintainable code following SOLID principles . A collaborative mindset and the ability to lead and mentor junior data scientists. Responsibilities Design and implement end-to-end machine learning solutions, collaborating with Backend Engineers, Data Engineers, and MLOps. Research and apply machine learning algorithms to solve diverse, real-world problems. Conduct extensive data analysis to understand patterns and behaviors, ensuring effective model design and feature selection. Design and execute A/B testing experiments to test different algorithms and strategies, analyze performance metrics, and iterate on models based on results Lead junior data scientists Qualifications Mandatory Bachelors in engineering or science Proven continual experience of 6+ years in designing, implementing, and deploying solutions for real-world applications Strong programming skills in Python and SQL with experience in relevant libraries (e.g., PyTorch , TensorFlow , scikit-learn , etc.). Solid understanding of machine learning concepts and methods and Mathematics behind them Experience working on deep learning projects in either computer vision or NLP , with a preference for PyTorch . Theoretical knowledge of computer vision and NLP concepts and techniques. Great to Have Demonstrable experience with Large Language Models (LLMs) and proficiency in utilizing the Hugging Face Transformers library Experience working on recommender systems , particularly in large-scale applications. Contributions to publications , research , or open-source projects . What we have to offer Competitive financial rewards + annual PLI (Performance Linked Incentives). Meritocracy-driven, candid, and diverse culture. Employee benefits like Medical Insurance One annual all expenses paid by company trip for all employees to bond Although we work from our office in New Delhi, we are flexible in our style and approach Life @Hunch Work Culture: At Hunch we take our work seriously but don t take ourselves too seriously. Everyone is encouraged to think as owners and not renters, and we prefer to let builders build, empowering people to pursue independent ideas. Impact: Your work will shape the future of social engagement and connect people around the world. Collaboration: Join a diverse team of creative minds and be part of a supportive community. Growth: We invest in your development and provide opportunities for continuous learning. Backed by Global Investors: Hunch is a Series A funded startup, backed by Hashed, AlphaWave, Brevan Howard and Polygon Studios Experienced Leadership: Hunch is

Job description Position Overview Triad Technology is seeking a passionate and motivated MIS Executive to join our team. This is an excellent opportunity for a recent graduate or someone with up to 2 year of experiance into MIS Domain. Responsibilities Collect, process, and analyse data to generate MIS reports. Automate reporting processes using Excel macros SQL queries. Ensure data accuracy and consistency across reporting systems. Coordinate with users and tech team to address data-related issues and requirements. A1Support management with insights through data-driven reports. Collaborate with various departments to improve data accessibility and usability. Maintain documentation related to MIS processes and reporting standards. Assist in troubleshooting database and reporting-related issues. Requirements Advanced MS Excel o Pivot Tables, o LOOKUP Formulas, o Macros, o VBA, etc. Basic knowledge of SQL queries, Power Bi, Python or R is an added advantage but not mandatory. Understanding of ERP, CRM, or business intelligence systems. Role: MIS Executive Industry Type: IT Services & Consulting Department: Customer Success, Service & Operations Employment Type: Full Time, Permanent Role Category: Operations Support Education UG: Any Graduate PG: Any Postgraduate Doctorate: Doctorate Not Required Key Skills Skills highlighted with ‘‘ are preferred keyskills MIS SQL queriesMS ExcelERPPower Bibusiness intelligenceMIS ExecutiveCRMPython

Job description Role & responsibilities Lead design, architecture, and development of scalable full-stack applications using Node.js and Python Drive end-to-end delivery of Gen AI features, including integrating OpenAI APIs, designing RAG pipelines, and applying prompt engineering Architect and implement chatbot platforms and conversational flows using third-party tools or custom frameworks Mentor and guide junior/mid-level developers through code reviews, pair programming, and technical discussions Collaborate with cross-functional teams (UX, AI/ML, product) to align technology with business goals Build robust APIs and data processing layers for backend systems, ensuring performance and reliability Contribute hands-on to UI development using HTML, CSS, JavaScript, and modern frameworks Enforce best practices in coding, testing, and agile delivery Manage technical risks, escalate issues early, and drive resolution in coordination with stakeholders Preferred candidate proFILE 8+ years of experience in full stack development with Node.js, Python, and web technologies Proven experience in building and scaling chatbots and Gen AI applications on Azure. Deep understanding of OpenAI APIs, prompt engineering, and LLM integration Hands-on experience designing or implementing Retrieval-Augmented Generation (RAG) systems Strong knowledge of REST APIs, SQL/NoSQL databases, and cloud-native development Solid experience with frontend frameworks (e.g., React, Vue.js) and UI best practices Excellent communication and leadership skills, with a collaborative mindset Nice-to-Have Skills: Experience with vector databases Familiarity with CI/CD pipelines, Git, and DevOps practices Prior experience leading distributed teams or working in a tech lead capacity Role: Full Stack Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate Key Skills Skills highlighted with ‘‘ are preferred keyskills Generative AiAzure CloudRAGOPEN AIPython Node.Js

Job description As a Senior Engineer in PayPal s Enterprise AIML Solution team, you will be customer-centric, strategic analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proven track record in technical leadership, you'll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members. Your day-to-day Design, Build, optimize , fine-tune Generative AI/LLM models/AI Solutions that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production to support various PayPal AI Personalization initiatives Perform performance evaluations of the LLM models, Implement LLMOps processes to run the end-to-end lifecycle of LLMs Deploy, monitor , and maintain Machine Learning models and build AI Products in production environments, ensuring optimal performance and reliability. Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices . Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform . Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning . Qualifications: Masters / bachelors in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience. Strong background in deep learning techniques, particularly in NLP and Vision Expertise in applying LLMs, prompt design, and fine-tuning methods Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models. Expert in multiple Programming/scripting languages, ie, Python, Java, Scala , SQL , NoSQL (like HBase, Redis, Aerospike) Good understanding of distributed systems, data streaming, complex event Processing, NoSQL s olutions for creating and managing data integration pipelines for batch and Real Time data needs. Expertise in machine learning libraries/frameworks such as TensorFlow, PyTorch , scikit-learn, etc. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Experience in Azure is a plus Stay up to date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platforms capabilities Strong communication , listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner Expertise in Big Data technologies such as Hadoop, Spark, HBase, Kafka. Preferred Prior experience in Content Understanding, enrichment, entity resolution or knowledge graph Experience developing Gen AI applications/services for sophisticated business use cases and large amounts of unstructured data. Strong background in MLOps and experimentation frameworks Role: Technical Architect Industry Type: FinTech / Payments Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Software Development Education UG: Any Graduate PG: LLM in Law Key Skills data scienceAnalyticalDiversity and InclusionMachine l

Job description Proven experience as a Test Automation Engineer with strong knowledge of Python, Robot Framework, and Selenium. Expertise in testing RESTful APIs. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with version control systems such as Git. Knowledge of test automation frameworks and tools. Python, Selenium, 4g, 5g, Ran, Robot Role: Automation Test Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills Automation testingVersion controlGITrobot frameworkSeleniumPythonTesting

Job description PIMS Engineers are responsible for integrating advanced technologies and streamlining processes to manage project deliverables efficiently. This mid-level role demands a strategic thinker with strong automation expertise, project management acumen, and the ability to translate complex business needs into scalable digital solutions. The engineer will also support project mobilization, ensure foundational systems are in place, and mentor junior team members. Key Responsibilities: Common Data Environment (CDE) Management. Employee Regular read more Key Skills AutomationPMPVisual BasicBusiness analysisProject managementSSRSSSISmicrosoftSQLPython

Job description Role You will be responsible for analyzing the functionality of applications and designing automated tests to validate their performance. You will also be required to identify bugs, install databases, and collaborate with the software design team. To ensure success as a QA automation engineer, you should have advanced programming skills, a keen eye for detail, and excellent project management skills. A skilled QA automation engineer can design and write efficient test procedures for every software application. Responsibilities Meeting with the software design team to discuss verification protocols. Identifying software application weaknesses and target areas. Sktching out ideas for automated software test procedures. Reviewing software bug reports and highlighting problem areas. Writing automation scripts and implementing software applications. Designing and installing software databases. Troubleshooting automation software and finalizing system procedures. Identifying quality issues and creating test reports. Collaborating with the design team to solve application faults. Experience Seasoned QA Automation Engineer with 6 to 8 years of experience and mainly on UI automation with expertise in automation frameworks like Playwright, BDD, etc Experience with a variety of testing techniques such as UI Testing, Automated Testing Experience in Javascript and basic java, Python API automation, preferable Experience with web security technology software QA tools and processes Experience in writing clear, concise, and comprehensive test plans and test cases Hands-on experience with both white box and black box testing Hands-on experience with automated testing tools Solid knowledge of SQL and scripting Experience working in an Agile/Scrum development process Experience with performance and/or security testing is a plus Skills Critical thinker and problem-solver Good time-management skills Great interpersonal and communication skill Education Bachelors/Masters in Computer Science or relevant field Role: Automation Test Engineer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: Quality Assurance and Testing Education UG: Any Graduate PG: Any Postgraduate Key Skills AutomationSoftware designTesting toolsBlack Box TestingJavascriptTest casesTroubleshootingSQLPythonWhite box

Job description The Associate Software Team Lead is pivotal in steering a group of talented software engineers towards the successful execution of R&D projects. This role involves a blend of technical expertise and leadership skills tmanage the development lifecycle, mentor team members, and ensure that software deliverables are innovative, robust, and align with customer expectations. The Associate Team Lead acts as a bridge between the engineering team and senior management, translating business objectives inttechnical strategies, fostering a culture of continuous improvement, and maintaining a focus on both short-term milestones and long-term goals. Qualification: Relevant industry certifications (Azure/AWS certified professional) Bachelor s degree in computer science / engineering, or equivalent work experience. Software Engineer level of experience with exceptional Real-Time skills and enthusiasm Proven ability tself-manage and structure work, this must be demonstrated through clear examples in your application Product / Technical : Degree in Computer Science or Engineering or Equivalent with 10+ years of relevant experience working with C/C++, C#, PHP. Must have 6+ years of Linux C++ / C developer. Must have 6+ years of Windows C/ C#/.NET, Dependency Injection Experience with Service Bus, Test Driven development Must have strong background in muti-process / multi-threaded application design. Must be proficient in Linux (currently using EL9) - Development, Bash shell. Must have strong background using and/or implementing SIP, RTP, or other voice protocols. Working knowledge of Asterisk/FreeSwitch Experience with Machine Learning technologies, NLP, Python libraries (Pandas, Keras, TensorFlow etc.) Good understanding of Python libraries for machine learning, Computer vision, Speech Analytics and Deep Learning tools & techniques Working experience of Cloud (preferably AWS) is an added advantage. Working experience of Cloud (OKD / OpenShift preferred) development Working knowledge of Cloud tools such as Kubernetes, and CI/CD tools such as Harness and/or Jenkins. Working knowledge of Monitoring Tools such as Datadog and/or OpsGenie. Experience working JIRA and in an Agile team. Knowledge of front end technologies (React Js , Node Js, Java script) Working knowledge on Application Security/Vulnerability tools like Black Duck, Coverity / App Scan etc. Experience with API / RESTful data services Experience using Postgres and SQL Server database technologies. Knowledge of VXML & IVR technologies/solutions. Experience of voice & viderecording platforms is advantageous Good understanding of Computer Vision, Speech Analytics and Deep Learning tools & techniques Core Tasks: Lead and support the VASR and Fonolproduct development and maintenance, ensuring global customer success. Initial ramp up is expected tbe based on small product issue resolution building tnew feature development. Once team established and product knowledge at required level, lead the development and implementation of software projects from conception tdeployment. Provide technical expertise and guidance in software design, coding standards, and system integration. Participate in technical requirements though tdelivery Estimates take intconsideration all aspects of solution and are relatively accurate. Tasks and Defects are addressed proactively. Quality gates are met for deliverables. Champion agile development methodology within the development organization. Ensure customer success when called upon tassist in complex issues. Mentor Associate and Graduate Engineers. Ensure the quality and reliability of software through rigorous testing and code reviews. Encourage innovation and the exploration of new technologies tenhance product capabilities. Troubleshoot and resolve complex technical issues that arise during the development process. Manage the allocation of resources, including personnel and technology, toptimize productivity. Establish and monitor performance metrics tevaluate the success of software projects Role: Blockchain Quality Assurance Engineer I

Job description As an Infrastructure Specialist at IBM, you will support the infrastructure running industries likes transportation, energy, insurance, banking, or healthcare which are rapidly changing as the worlds relationship with technology evolves. Ready to help our clients take the next step forward Companies have more choices than ever before between on-premise, off-premise, or a hybrid approach. As an Infrastructure Specialist, you will be responsible for keeping up with the latest changes, using your expertise to deliver solutions that meet the needs of our clients and products. In your role you may be responsible for: Define, analyse, and review technical architecture on required platform and coming up with architecture options and recommendations Define, detail, and scope the technical requirements into solutions Work across key activities in configuration, systems management tools and backup and recovery Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise SSL Administration like certificate renewal and monitoring Experience in queue manager configuration and load balancing, security management (OAM), performance and tuning Experience with MQ in AIX, Red Hat Linux (RHEL) and Windows servers Experience in Managed File Transfers (MFT) Configuration, deployments, and vulnerability remediation in multi-tier environments with firewalls, load balancers, and high availability solutions Preferred technical and professional experience Working experience in Cloud (GCP, AWS) Knowledge in CI/CD and pipeline automation tools Knowledge in Containerisation / Kubernetes / OpenShift Role: System Administrator / Engineer Industry Type: IT Services & Consulting Department: Engineering - Hardware & Networks Employment Type: Full Time, Permanent Role Category: IT Network Education UG: Any Graduate PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills continuous integrationkubernetesci/cdcontainerizationaws load balancingopenshiftredhat linuxsslaixsystem administrationjavagcpdevopslinuxwindows serveroamuipathsecurity managementpythonrpamqrhelhigh availabilityfirewall