Required: • Support the transformation efforts for the North America Actuarial function by developing and maintaining systems and data science tools. • Collaborate with actuaries and team members to understand their needs and implement effective solutions. • Utilize programming languages and software tools to automate data processing and analysis tasks. • Conduct rigorous data analyses and assist in the interpretation of results. • Streamline reporting processes by designing user-friendly dashboards and visualizations. • 2 or more actuarial exams completed from IAI/IFoA/CAS/SOA. Preferred: • Experience and expertise in Data Analytics. • Strong foundation & experience in Data Science & machine learning. • Experience with environments like Databricks, ADLS, Git etc. • Exposure & experience in Data Engineering (Understanding of database: SQL, Azure/AWS etc.). • Experience with structured and unstructured data and text analytics techniques. • Familiarity with GenAI techniques like Prompt Engineering. • Experience with CI/CD pipelines. • Basics of ML Ops and putting into production of data-analytics models.

Required: • Bachelor’s degree in Computer Science, Engineering, or related field. • Solid understanding of data structures, algorithms, and backend system design. • Ability to collaborate across Engineering, Product, and Data Science teams. • Strong problem-solving and analytical skills. • Passion for building intelligent systems that impact real-world hiring outcomes. Preferred: • Experience or interest in building Search or Retrieval Systems, Recommendation Engines, Matching or Ranking Platforms, AI-enabled Backend Systems. • Familiarity with semantic search, embeddings, or ML-based ranking is a plus.

Required: • Collaborate with cross-functional teams to gather and understand project requirements. • Write clean, maintainable, and well-documented code following best practices. • Participate in code reviews to ensure code quality and provide constructive feedback. • Troubleshoot and debug issues, identifying and implementing effective solutions. • Work with APIs, libraries, and frameworks to integrate systems seamlessly. • Stay up-to-date with industry trends and emerging technologies related to Go development. • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). Preferred: • Experience with web frameworks (e.g., Gin, Echo) and libraries commonly used in Go development. • Familiarity with RESTful API design principles and practices. • Proficiency in version control systems, preferably Git. • Strong problem-solving skills and the ability to analyze and optimize code for performance. • Excellent communication skills and the ability to work effectively in a collaborative team environment. • Experience with cloud platforms (e.g., AWS, GCP) and containerization technologies (Docker, Kubernetes). • Knowledge of databases (SQL and/or NoSQL) and data modeling. • Familiarity with CI/CD pipelines and automated testing frameworks. • Contributions to open-source projects or personal projects showcasing Go development skills.

About us: Ditto helps teams manage their copy from design to production with a single source of truth. Responsibilities: • Architect, build, and own new product features from start to finish • Work across our products (web-app, developer integrations (API/CLI, SDK), plugins) • Work directly with founders on roadmap and strategy • Shape direction through communicating with customers and gathering user feedback • Help us grow the team by interviewing and onboarding future engineers Qualifications: • Can communicate clearly and empathetically • Willing to quickly learn new frameworks/technologies and execute independently • Early engineer equity offered

Required: • Bachelor's degree (BE/BTech/MCA or equivalent) in Computer Science or a related technical field from a reputable institution. • Good understanding of Design Patterns & TypeScript core concepts and hands on experience to apply them in day-to-day design. • Experience in Node.js for backend development. • Understanding and experience with databases like MongoDB, Postgres. • Basic understanding of agile and scrum methodologies. Preferred: • Exposure to cloud-native technologies including Docker, Kubernetes, Kafka, and microservices architecture is highly desirable. • Experience of AWS/Azure/GCP, Redis, Security Domain, Datadog, Codefresh is a plus. • Familiarity with agentic AI concepts such as autonomous task execution, tool-using agents, workflow-driven agents, or multi-agent collaboration models. • Hands-on exposure to building AI-augmented software features, such as integrating LLM-based components using APIs (OpenAI, Azure OpenAI, etc.). • Understanding of prompt engineering basics, including structured prompts, function calling, and safety-aligned prompt patterns. • Experience with Node.js-based agent frameworks (e.g., LangChain.js, LlamaIndex.js, Microsoft Autogen for JS) is a plus. • Ability to design or consume REST/GraphQL APIs powering AI/agent automation pipelines. • Exposure to event-driven or workflow orchestration tools (e.g., Temporal, Airflow, n8n) that support agentic automation. • Basic knowledge of vector databases (Pinecone, Weaviate, Redis Vector Search) and how they power retrieval-augmented workflows. • Understanding of evaluation techniques for agentic/AI-powered features—hallucination detection, output validation, and test harnesses. • Experience experimenting with small automation agents for tasks such as code generation, data extraction, or summarization using LLMs. • Awareness of AI safety and guardrail principles—content filtering, secure tool use, and data privacy considerations. • The personal data that you provide as a part of this job application will be handled in accordance with relevant laws. For more information about how Precisely handles the personal data of job applicants, please see the Precisely Candidate Privacy Notice

Responsibilities for this SDE II Engineer role include owning end-to-end frontend development, building reusable UI components, and partnering with various teams to deliver seamless experiences. Candidates should have 3-5 years of frontend development experience and strong debugging skills. The role offers high ownership and impact in a fast-moving engineering culture.Required: • 3–5 years of experience in frontend development in a product-based environment • Optimize applications for performance, scalability, and cross-browser compatibility • Continuously improve existing features and fix bugs with speed and quality • Stay updated with modern UI standards and emerging frontend technologies • Strong debugging skills and exposure to monitoring & deployment processes Preferred: • Experience with TypeScript • Familiarity with state management libraries (Redux, Redux Saga) • Understanding of bundling tools (Webpack, Parcel, Rollup) • Experience with unit testing / TDD (Jasmine, Mocha, Karma) • Basic understanding of Node.js and Express.js

Key Responsibilities: • Design, develop, and maintain high-performance, scalable cloud services • Collaborate with cross-functional teams to define, design, and ship new features. • Ensure the best possible performance, quality, and responsiveness of services. • Identify and correct bottlenecks and fix bugs. • Help maintain code quality, organization, and automatization. • Participate in code reviews and provide constructive feedback to team members. • Mentor junior engineers and help them grow their technical skills. • Stay up-to-date with the latest industry trends and technologies to ensure our products remain cutting-edge. Qualifications: • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • Experience: 5+ years of hands-on experience in software engineering. • Problem-Solving: Strong analytical and problem-solving abilities, with a focus on delivering high-quality solutions. • Agile Development: Experience with Agile development methodologies and practices. • Communication Skills: Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and stakeholders.

Key Responsibilities: • Design, develop, and maintain high-performance, scalable cloud services • Collaborate with cross-functional teams to define, design, and ship new features. • Ensure the best possible performance, quality, and responsiveness of services. • Identify and correct bottlenecks and fix bugs. • Help maintain code quality, organization, and automatization. • Participate in code reviews and provide constructive feedback to team members. • Mentor junior engineers and help them grow their technical skills. • Stay up-to-date with the latest industry trends and technologies to ensure our products remain cutting-edge. Qualifications: • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • Experience: 2+ years of hands-on experience in software engineering. • Strong analytical and problem-solving abilities, with a focus on delivering high-quality solutions. • Experience with Agile development methodologies and practices. • Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and stakeholders.

Required: • Play a critical role in advancing our full-service payroll platform that handles tax filing and payments for thousands of taxes across businesses. • Own and drive core initiatives by creating new products/features from the ground up as well as rearchitecting key components of our platform. • Confidently ship moderate/large features and improvements with minimal guidance and support from other team members. • Collaborate with the team on larger projects. • Model and execute against requirements involving complex and interdependent systems. • Take ambiguous technical problem statements and turn them into an actionable plan, and then execute on it with the team. • Implement comprehensive unit tests for confirming functionality and the quality of code. • Ensure high-quality code and related documentation. • Build relationships with teams across engineering, ops, and support, to understand their needs and help improve their day-to-day workflows. • Strong CS knowledge and expertise. Preferred: • Experience in building projects with good abstractions and architecture.

Required: • Bachelor’s degree in Engineering, Computer Science, Business, or related field (MBA preferred). • Experience in managing end-to-end deployment projects, working with cross-functional teams including operations, engineering, vendors, marketing, compliance and security. • Ensure all products adhere to NPCI guidelines, RBI mandates, PCI-DSS standards, EMV requirements and data security best practices. • Act as the primary liaison between internal stakeholders like tech, operations, compliance, finance, sales and external partners like Banks, NPCI, OEMs, card networks (Visa/MasterCard/RuPay). • Manage vendor relationships for hardware, software, and transaction processing partners. • Define KPIs and continuously track product performance—transaction volumes, success rates, uptime, customer adoption. • Analyse user feedback and operational metrics to identify gaps and areas for improvement. • Collaborate with marketing and sales teams for product positioning, partner onboarding, and field deployment strategies. • Train internal teams and partners on product usage, features, and benefits. Preferred: • Deep understanding of ATM architecture and end-to-end transaction lifecycle. • Micro ATM hardware/software ecosystem, transaction processing, switch integration, card schemes (RuPay/Visa/Mastercard) and NPCI platforms. • Proven experience working with large-scale transaction systems and assisted payment models. • Strong project management, communication, problem-solving and analytical skills. • Proficient in tools like JIRA, Confluence, Excel, SQL and dashboarding tools (e.g., Tableau, Power BI). • Proven ability to manage conversion funnels and user engagement campaigns. • Hands-on experience with product analytics platforms (e.g., Clevertap and Firebase). • Familiarity with product development lifecycle, agile delivery, wireframing tools, and UAT processes.

Required: • B.S. degree or higher in Computer Science or a related technical field. • Solid understanding of Computer Science fundamentals (Data Structures, Algorithms, OOP) and web development basics. • Experience writing basic unit tests. • Good communication skills in English. • A growth mindset with a strong eagerness to learn, ask questions, and improve your technical skills in a collaborative environment. Preferred: • Experience with Next.js or Spring Boot. • Familiarity with GraphQL for API development. • Exposure to gRPC/Protobuf for microservices communication. • Understanding of event-driven systems using technologies like Kafka. • Familiarity with version control systems (Git). • Exposure to database concepts (SQL or NoSQL). • Basic knowledge of cloud platforms (AWS) or containerization (Docker).

Truemeds is hosting a walk-in hiring drive for passionate and experienced Backend Engineers across SDE-1, SDE-2, and SDE-3 levels. The role involves building impactful, scalable solutions in the health-tech space and contributing to a fast-scaling organization. Interested candidates should register and book their slot using the provided link.

Scaler AI Labs is seeking Data Scientist and Research Scientist Interns for a 6-month full-time internship starting January 2026. The role involves working on frontier AI models to solve real-world enterprise workflows. Responsibilities: • Identify real-world industry use cases where current frontier models fall short • Create high-quality, use-case-specific datasets and evaluation benchmarks, and baseline frontier models against them • Fine-tune models to demonstrate clear performance improvements on enterprise AI use cases • Build realistic, enterprise-grade datasets based on actual workflows in B2B platforms • Design and run evals for computer-use models on enterprise applications Required: • Available for a full-time 6-month internship starting January 2026 • Background in a STEM field such as Computer Science, Mathematics, or Statistics • Prior exposure to ML research through projects, open source, labs, internships, or publications, OR an active Kaggle profile with contributions to datasets, notebooks, or competitions

Required: • Own 99.9%+ platform uptime for real-time Voice AI workloads. • Participate in on-call rotations, incident response and post-incident reviews. • Lead root cause analysis (RCA) and drive permanent reliability improvements. • Design and implement self-healing systems using automation, retries, circuit breakers and failover strategies. • Design, operate and scale Kubernetes clusters in public cloud environments. • Work with managed Kubernetes platforms such as GKE, and apply cloud-native best practices. • Implement auto-scaling strategies (HPA, VPA, node pools, GPU workloads). • Manage infrastructure using Infrastructure as Code (Terraform). • Optimize infrastructure for performance, reliability and cost efficiency. • Build and maintain monitoring, logging and alerting systems using Prometheus, Grafana, Loki and OpenTelemetry. • Define SLIs, SLOs and error budgets for platform and AI workloads. • Drive signal-based alerting to reduce noise and improve response quality. • Implement anomaly detection and predictive alerting for infrastructure and AI pipelines. • Design and maintain CI/CD pipelines for services and infrastructure. • Build internal automation tooling for: Progressive and canary deployments, Auto-scaling and capacity planning, Faster incident diagnosis and recovery. • Enable self-service DevOps workflows for engineering teams. • Own reliability and performance of STT, TTS and LLM inference pipelines. • Design provider routing, failover and SLA enforcement mechanisms. • Deploy, version and roll back AI models and inference services. • Monitor inference latency, quality and drift in production systems. • Operate GPU-backed inference workloads where applicable. • Enforce DevSecOps practices across build and deploy pipelines. • Implement network policies, encryption, secrets management and access controls. • Drive disaster recovery, backup strategies and resilience testing. • Contribute to SOC2 / ISO compliance and audits. • Partner with backend, AI and platform teams on architecture and reliability. • Influence system design through a reliability-first mindset. • Mentor junior engineers and raise the overall bar for operational excellence. Qualifications: • 3–6 years of experience in DevOps, SRE or Platform Engineering roles. • Strong hands-on experience with Kubernetes and Docker in production environments. • Familiarity with public cloud platforms and managed Kubernetes services (such as GKE). • Strong understanding of distributed systems and production debugging. • Hands-on experience with observability systems. • Proficiency with Infrastructure as Code (Terraform). • Strong incident ownership and communication skills. Good-to-Have: • Experience with MLOps or AI inference platforms. • Familiarity with LLM pipelines, real-time streaming or telephony systems. • Experience operating GPU workloads. • Knowledge of AIOps, anomaly detection or intelligent alerting. • Cloud cost optimization experience. Why Blue Machines: • Build global-scale AI infrastructure from India. • Operate real-time Voice AI systems with 14.5M+ minutes in production. • Work on low-latency, high-reliability platforms. • Grow from DevOps/SRE into MLOps and AI platform engineering. • High ownership, deep technical impact and real production scale

Required: • Pursuing a bachelor's degree • Enrolled in second year of a 4-year undergraduate degree program at time of application • Completed an Introduction to Computer Science course (or equivalent class) by the start of the program. Preferred: • Demonstrated interest in majoring in computer science, computer engineering, software engineering or related technical major.

Required: • Currently pursuing a Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field. • Must have at least one additional quarter/semester of school remaining following the completion of the internship. Responsibilities: • Use machine learning, statistics, experiments, and other methods to build and improve products. • Collaborate with stakeholders to formulate approaches to solve problems. • Utilize algorithms and data sources in the context of business and engineering needs. • Combine engineering abilities with analytical skills to enhance customer experiences. • Explore data to discover new questions or opportunities and propose applicability and limitations of the data. • Interpret analysis results, validate approaches, and monitor/iterate to improve continuously. • Engage with peer stakeholders to produce clear, compelling, actionable insights to influence product and service improvements. • Participate in the peer review process and act on feedback. Preferred: • Previous experience as a Data Scientist, Digital Specialist, Senior Consultant, Senior Software Engineer, or Senior Data Engineer is a plus.

Techiatrix is expanding its team, seeking a Product Designer with strong experience in Enterprise SaaS. This role focuses on complex SaaS products and data-heavy dashboards, requiring a deep understanding of flows, systems, and edge cases, along with excellent design taste and UX thinking. Additionally, they are looking for a Motion Designer to create product and brand motion, including micro-interactions, transitions, UI feedback, and visuals for marketing assets, with experience in Rive, Lottie, and After Effects. Interested candidates should share their best work at [email protected].

Responsibilities: • Own and build next-generation web applications that are efficient, reusable front-end abstractions and systems. • Explore and design lively and compelling consumer experiences. • Ensure that all the assigned systems are performing to scale. • Actively participate in design and code reviews to build robust applications and Prototypes. Requirements: • B. E/B. Tech or any other similar qualification with a minimum of 3 years of experience in the following technology stack. • Understanding of browser internals and a basic understanding of the network stack. • Understanding of common design patterns followed in front-end projects. • Basic awareness of application security practices and deployment techniques for front-end projects. • Should have sound knowledge in computer science fundamentals like data structure, object-oriented programming, and possess excellent communication skills. Preferred: • Deep expertise in JavaScript, HTML5 and CSS3 and knowledge in any one of the Frameworks like React, Angular, and Ember is a plus. • Good experience in building scalable web applications, preferably from e-commerce or start-up backgrounds. • You should always be on top of trending UI technologies and willing to contribute back to the open-source network.

Required: • Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) or IT or cybersecurity • Comfortable writing and refining prompts for large language models • Building scripts or tools to support cybersecurity tasks • Collaborating with a team to turn ideas into working prototypes Preferred: • Any exposure to GenAI frameworks, APIs, or security concepts like OWASP or CTFs

Required: • Design, develop, and maintain scalable backend services with a focus on high performance and reliability • Write clean, maintainable, and production-ready code following best practices • Build and enhance applications, APIs, database integrations, and internal tools • Lead and participate in architecture discussions and technical reviews • Collaborate cross-functionally to ensure solutions meet product goals, timelines, and compliance standards • Support testing, deployment, monitoring, and optimization of new features • Conduct thorough code reviews and mentor junior developers when needed • Drive improvements in backend performance, security, and infrastructure Qualifications: • 5-7 years of professional experience in backend development (SE-III level) • Strong proficiency in Golang with deep understanding of its concurrency model and performance patterns • Solid experience building REST APIs, microservices, and distributed systems • Hands-on expertise with relational and NoSQL databases (e.g., PostgreSQL, MongoDB) • Experience with containerization and orchestration (e.g., Docker, Kubernetes preferred) • Familiarity with CI/CD pipelines and cloud deployment environments • Strong understanding of version control systems (Git) • Ability to diagnose complex production issues and propose long-term solutions • Excellent problem-solving skills, ownership mindset, and ability to operate in a fast-paced environment.