Ai Research Engineer in India

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE To be a expert performance engineer to define and validate the industry-leading performance of our mission-critical FlashArray portfolio. You will be instrumental in extending our capabilities into the cloud, directly impacting customer adoption and satisfaction by ensuring our products meet the highest benchmarks. This high-visibility role involves close collaboration with Product Management and Solutions Engineering to translate real-world customer needs into engineering goals. WHAT YOU'LL DO Define and Drive Benchmarking Strategy: Establish comprehensive, next-generation performance benchmarking requirements and metrics for all FlashArray products across diverse platforms, ensuring we maintain a significant competitive edge in the market. Team Execution and Mentorship: Provide technical direction and leadership to a team of highly motivated engineers, fostering a culture of technical excellence, and ensuring timely delivery of high-quality, high-impact performance results. Validate Critical Customer Scenarios: Collaborate with Product Management, Solutions, and Sales Engineering to research and develop performance validation strategies that accurately model and confirm critical customer use cases and requirements, directly enhancing product readiness. Optimize System Performance: Oversee the deep-dive analysis of performance bottlenecks within the Linux storage and networking stack, iden

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE To be a expert performance engineer to define and validate the industry-leading performance of our mission-critical FlashArray portfolio. You will be instrumental in extending our capabilities into the cloud, directly impacting customer adoption and satisfaction by ensuring our products meet the highest benchmarks. This high-visibility role involves close collaboration with Product Management and Solutions Engineering to translate real-world customer needs into engineering goals. WHAT YOU'LL DO Define and Drive Benchmarking Strategy: Establish comprehensive, next-generation performance benchmarking requirements and metrics for all FlashArray products across diverse platforms, ensuring we maintain a significant competitive edge in the market. Team Execution and Mentorship: Provide technical direction and leadership to a team of highly motivated engineers, fostering a culture of technical excellence, and ensuring timely delivery of high-quality, high-impact performance results. Validate Critical Customer Scenarios: Collaborate with Product Management, Solutions, and Sales Engineering to research and develop performance validation strategies that accurately model and confirm critical customer use cases and requirements, directly enhancing product readiness. Optimize System Performance: Oversee the deep-dive analysis of performance bottlenecks within the Linux storage and networking stack, iden

Location Details: India, Remote At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team... Here at GoDaddy, the ML Engineering (MLE) team exists as the backbone of our machine learning infrastructure, enabling ML scientists and product teams across Domains to ship models to production reliably, efficiently, and at scale. This team owns the full lifecycle of ML systems — from CI/CD pipelines and model serving infrastructure to GPU workload orchestration and observability. Through disciplined engineering practices, thoughtful system design, and close collaboration with ML scientists, data engineers, and product teams, we deliver the platform that powers domain search, pricing, recommendations, and emerging AI experiences for millions of customers worldwide. We are currently looking for an experienced, highly motivated Senior Engineering Manager to lead our ML Engineering team based in India. This is an established team with existing engineers — we expect the candidate to ramp up quickly on our ML infrastructure stack, build strong relationships with the team, and partner with both India-based teams and US-based teams to drive execution and grow the team further. This individual will join us on our journey to build and scale ML infrastructure that serves real-time predictions at low latency, automates model deployment and promotion, and provides the observability and reliability guarantees that production ML systems demand. Become part of a team that bridges the gap between ML research and production engineering — shipping systems that directly impact GoDaddy's core revenue. What you'll get to do... Lead a team o

NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes. Role Overview We’re looking for engineers who can take AI work beyond experiments and make it hold up in production. You’ll work closely with quant researchers and infra engineers to build AI systems that actually get used improving research speed and internal tooling without slowing down the core stack. We value engineers who think about trade-offs, test what they build, and care about how things run in production. What You’ll Build Production AI Ship models that meet defined latency and reliability expectation Add monitoring, rollback, and guardrails before anything goes live Optimise inference across CPU/GPU environments when it matters Integration into Real Systems Plug AI into data-heavy workflows without hurting performance Work within existing low-latency architecture instead of fighting it Profile and remove bottlenecks rather than guessing AI for Engineers & Researchers Build tools that genuinely speed up research and development Improve code understanding, review workflows, and internal knowledge retrieval Keep systems auditable and predictable LLM & Retrieval Systems Implement structured RAG and embedding pipelines with validation in place Create safe integration layers between models and internal systems Performance & Standards Track latency, drift, and stability — not just accuracy Build observability into everything you ship Help raise the bar for how AI is engineered here What We’re Looking For Strong Python fundamentals Clear thinking around system design and performance trade-offs Experience deploying AI systems in production (1–5 years is typical) Familiarity with transformers, embeddings, or LLM deployment Nice to have: Exposure to C++ / Rust / Go E

At Dscout, we’re building the most flexible and powerful UX research platform on the market—trusted by the world’s top brands in finance (JP Morgan Chase, Intuit, Charles Schwab, PayPal), healthcare (Aya, Headspace), consumer goods (Keen, Verizon, Target, Northface), and tech (Google, Amazon, Facebook, Meta, Spotify, AirBnB). Our tools help teams deeply understand the humans behind their products, so they can build better ones. We are expanding our smart and driven team and would love for you to join us. AI native product is fundamentally different engineering problem than building deterministic software: the same input won't always produce the same output, and "working" means the agent behaves well across the full distribution of real world scenarios, not that it passes a fixed test suite. We're looking for an Applied AI Engineer with 2-5 years of experience building and shipping AI systems used by professionals at enterprise. You're comfortable working with modern LLM-based systems and agentic workflows, and you know how to turn powerful models into reliable product features. You have strong product judgment and think deeply about tradeoffs between LLM approaches and traditional ML when designing solutions. You care about evaluation, iteration speed, and making sure AI systems actually drive measurable business impact reliably . What you'll do Own the production improvement loop across agent behavior, customer and operator feedback, evaluation, experimentation, and verified business outcomes Instrument agent workflows so model interactions, tool use, decisions, failures, human edits, and downstream outcomes can be understood in context Define meaningful quality standards, representative evaluation datasets, regression coverage, and production monitoring. Investigate why agents underperform across context, knowledge, instructions, tools, routing, guardrails, or workflow design Design and ship targeted behavior improvements, including changes to prompting, cont

Overview: We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products. This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems. This is a Hybrid role from our Pune office. What You'll Do: Data Engineering & Lakehouse Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle Perform root cause analysis on data and processes to identify opportunities for improvement Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics Microservices & AKS Development Develop and support scalable web APIs and microservices using Python and Azure Platform Services Build new applications, services, and platforms; optimize existing solutions and refactor legacy components using modern, scalable architec

EnCharge AI is a leader in advanced AI hardware and software systems for edge-to-cloud computing. EnCharge’s robust and scalable next-generation in-memory computing technology provides orders-of-magnitude higher compute efficiency and density compared to today’s best-in-class solutions. The high-performance architecture is coupled with seamless software integration and will enable the immense potential of AI to be accessible in power, energy, and space constrained applications. EnCharge AI launched in 2022 and is led by veteran technologists with backgrounds in semiconductor design and AI systems. About the Role EnCharge AI is seeking a highly skilled and experienced AI Compiler Engineer to spearhead the efforts in developing and optimizing graph compilers tailored to cutting-edge AI and ML workloads. You will collaborate with hardware architects, and AI researchers to enhance performance, optimize computation graphs, and enable efficient model deployment on EnCharge’s Inference Accelerators. Responsibilities Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization. Work closely with ML researchers, hardware engineers, and software developers to design and deploy AI models, understanding and addressing hardware-specific challenges. Work on performance optimizations for neural network models, such as layer fusion, operator fusion, and graph-level transformations. Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR). Implement parsing, semantic analysis, and IR generation for deep learning frameworks. Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration into graph compilers. Provide leadership, mentorship, and technical guidance to a team of engineers focused on graph compiler optimizations. Qual

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Position Summary We are hiring a Software Dev Engineer to design, build, test, and deploy AI-powered applications. You will work across the full application lifecycle — from architecture and implementation through automated testing, CI/CD deployment, and production monitoring — building features that put large language models and agentic tooling to work inside SonicWall's internal systems. This is a hands-on engineering role for someone with 6–8 years of professional software development experience who is comfortable owning services end to end: writing production-quality code, integrating LLM and agentic APIs, standing up reliable data and retrieval pipelines, and shipping through a disciplined test-and-release process. You will collaborate closely with senior engineers, product stakeholders, and platform teams to turn requirements into dependable, well-tested applications. Key Responsibilities Develop AI applications: Design and build features and services that use LLM and agentic capabilities — prompting, tool/function calling, retrieval-augmented generation (RAG

SonicWall is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit www.sonicwall.com or follow us on Twitter , LinkedIn , Facebook and Instagram . Role Overview As our lead AI/ML Engineer , you will design, build, and scale the intelligence layer powering our next-generation security products. You will turn complex datasets—including configurations, security alerts, and raw network logs—into production-ready AI capabilities that drive automated analysis, reasoning, and intelligent recommendations. Key Responsibilities Architect AI Systems: Design and deploy robust Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and LLM applications tailored to parse and reason over security telemetry and unstructured logs. Model Development & Tuning : Train, fine-tune, and evaluate ML/DL models for pattern matching, anomaly detection, and classification across massive, heterogeneous security datasets. Ensure AI Trust & Alignment : Implement strict guardrails, evaluation frameworks, and safety alignment techniques to ensure all model outputs and recommendations are deterministic, safe, and highly accurate. Establish MLOps: Build and maintain scalable ML pipelines (from data preprocessing to model monitoring in production), collaborati

WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. We work with the world's most valuable brands and have global reach across 100+ markets, with deep local expertise. Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow. For more information, visit WPP.com. Why we're hiring: You will play a crucial role in solution delivery and day-to-day technology management of the Global Cloud Apps and AI program. Reporting to the AI CoE Lead, you will lead the architecture, standards, and advanced development requirements for our global enterprise AI portfolio. Alongside CoE Leadership, you will guide a crew of 6-8 engineers to ensure the release of high-quality products on time and within budget. Our team is chartered to develop and deliver custom AI products and enhance global cloud apps products or AI projects delivered by other delivery teams from around WPP. Are you a visionary technical leader with a deep mastery of the Microsoft Power Platform and Agent ecosystem and a passion for engineering excellence? We are looking for an Engineering Lead to drive our technical strategy and architectural standards. In this senior role, you will be responsible for conducting research spikes, providing technical guidance to development teams, and ensuring that our global agent framework ensures a foundation of robust, scalable, and maintainable components. You will combine y

Role: Network Engineer Location: Gurgaon Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Network Engineer for our team in Gurgaon. Graviton trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets. Key Responsibilities Design, deploy, operate, and troubleshoot low-latency network infrastructure used by trading firms. Manage connectivity to global stock exchanges, brokers, market-data providers, and ISPs. Build and maintain colocation infrastructure including routers, switches, Layer-1 devices (added advantage), structured cabling and cross connects. Configure and support Cisco Nexus, Arista and similar platform devices. Design and troubleshoot Layer 2 and Layer 3 networks including: VLANs, VRFs, BGP, OSPF, Static routing, PIM, IGMP, Multicast, SSM, ACLs and QoS. Troubleshoot packet loss, multicast issues, duplicate packets, IGMP/PIM and multicast/BGP routing. Monitor and optimize latency, jitter, packet loss, interface errors, congestion, and network performance. Work with ultra-low-latency technologies including: Cut-through switching, Layer-1 switches, FPGA-based network devices, Kernel-bypass networking, ExaNIC/Solarflare NICs, Hardware timestamping. Configure and troubleshoot PTP and clock synchronization infrastructure. Perform server and network equipment installation in exchange and third-party data centres. Manage rack layout, patching, cable optimization, optics, DACs, cross-connects, and inventory. Coordinate network changes with exchanges, telecom providers, brokers, vendors, and data-centre teams. Plan and execute production changes during approved maintenance windows. Perform pre-change validation, c

About the Role: We are looking for a Trade Operations Engineer to join our operations team at NK Securities. This is a hands-on role where you'll help make sure our trading systems are ready every day. You’ll work closely with our tech and trading teams to keep things running smoothly. This is a great opportunity for someone who wants to learn, grow, and take on more responsibility over time. You will be trained by experienced team members and have the chance to lead the operations team in the future. What You’ll Do: Perform daily system checks and ensure everything is running fine before markets open Monitor trading systems and raise alerts if anything looks off Write and improve scripts (mostly in Bash and Python) to reduce manual work Coordinate with tech and trading teams for any issues or updates Work on frontend tools if needed (basic web frontend knowledge is a plus) Take ownership of tasks and make sure nothing is missed What We’re Looking For: Good knowledge of Bash and Python Basic understanding of frontend (HTML/JS/CSS or React is a bonus) Willingness to learn and work hard Responsible and reliable – our systems need to be up and running on time Someone who likes solving problems and automating boring stuff Freshers or candidates with 0–2 years of experience are welcome Why Join Us: Work in a fast-paced and exciting HFT environment Learn directly from experienced developers and traders Opportunity to grow into a leadership role in the ops team Flat team structure – your work will be noticed and appreciated Competitive salary and good learning curve

About the Role We are looking for a skilled and detail-oriented Python Developer to join our team. In this role, you will focus on writing efficient scripts, analyzing complex data, and delivering actionable insights through clear and accurate visualizations. The ideal candidate will be a fast learner with a strong foundation in software development principles and a passion for solving challenging problems. Key Responsibilities Design and develop efficient Python scripts for data analysis and automation. Build accurate and insightful data visualizations to support decision-making. Implement and maintain alerting tools to monitor data workflows and systems. Collaborate with cross-functional teams to gather requirements and deliver solutions. Apply strong knowledge of data structures, algorithms, and OOP concepts to write performant, maintainable code. Continuously optimize and improve data processing pipelines for scalability and performance. Key Requirements Experience: 2–5 years as a Software Engineer or Python Developer. Strong proficiency in Python with the ability to quickly learn new frameworks and libraries. Hands-on experience with SQL for querying and data manipulation. Experience with data visualization/plotting tools (e.g., Matplotlib, Seaborn, Plotly). Familiarity with alerting and monitoring tools . Solid understanding of data structures, algorithms, and OOP concepts . Excellent problem-solving skills, analytical thinking, and attention to detail. Benefits: Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices, disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends! Our perks have you covered. Competitive compensation 6 weeks of paid vacation Monthly after work parties Catered breakfast and lunch Fully stocked kitchen International team outing

Software Engineer Build technology where every nanosecond matters. At Graviton, software isn't just a tool that supports trading. It is the infrastructure behind every research breakthrough, every trading decision and every competitive advantage. As a Software Engineer , you'll work on systems where performance, reliability and precision matter at an extraordinary scale. You'll partner closely with software engineers and quantitative researchers to build technology that processes enormous volumes of market data, powers quantitative research and supports live trading. You'll take on problems that don't have obvious answers — from designing high-performance systems and distributed infrastructure to eliminating bottlenecks measured in microseconds and building tools that make our researchers and engineers faster. Your work will go into production, be measured against real-world performance and have a direct impact on how our trading systems operate. If you enjoy solving hard engineering problems, understanding systems at a deep level and pushing technology to its limits, you'll feel right at home. What You'll Work On You'll work across the engineering stack that powers our quantitative research and trading platforms. Depending on your team, your work may include: Designing and building high-performance, low-latency systems in modern C++. Building distributed systems that process and analyze massive volumes of market data . Designing systems where latency, throughput and reliability directly influence trading performance . Working on Linux systems, networking, concurrency and multithreaded applications. Profiling systems, identifying bottlenecks and optimizing performance at the hardware and software level. Building robust infrastructure that supports quantitative research and live trading. Debugging complex production systems and solving problems where correctness and reliability are critical. Designing internal platforms and developer tools that accelerate research an

Role: Application Reliability Engineer Location: Gurgaon Who we are Graviton Research Capital is a privately funded quantitative trading firm striving for excellence in financial markets research. We trade across a multitude of asset classes and trading venues using a diverse range of concepts, from time series analysis and stochastic models to machine learning and statistical inference. We analyse terabytes of data to identify pricing anomalies and drive innovation in financial markets. Key Responsibilities and Deliverables The ideal candidate will possess a strong background in technical support, with a passion for problem-solving and a commitment to excellence. As an Application Reliability Engineer, you will be responsible for: Monitor production services and respond quickly to alerts, incidents, and outages to ensure smooth operation and minimal downtime. Monitor trading systems and infrastructure., Triage issues across trading support services, databases, and infra; escalate and coordinate with the right owners, and drive root-cause analysis and ensure fixes are implemented for long-term stability. Serve as the first line of defense for trading operations. Proactively identify, address recurring issues, and build automation to reduce manual intervention. Improve observability by enhancing monitoring, logging, and alerting systems. Develop and maintain operational runbooks and SLO/SLA metrics. Eligibility and Required Skills Possess a degree in a highly analytical field, such as Engineering, or Computer Science 2-5 years of experience in Python, Shell/Bash scripting. Experience with Linux and shell/bash online tools. Hands-on experience with databases (SQL, NoSQL) Strong problem-solving and analytical skills Excellent communication skills Ability to remain calm and analytical under production pressure Good to have: Familiarity with monitoring/alerting stacks (Prometheus, Grafana, ELK, etc.) Familiarity with distributed messaging (Kafka) and caching systems (Red