Developer Relations in India

Opportunity Overview: We are seeking a Data Scientist to play a pivotal role in developing AI-driven healthcare enterprise applications. The ideal candidate will work with large datasets to uncover opportunities for product and process optimization. This role calls for hands-on experience in data modeling and solution optimization, along with a proven ability to deliver actionable, data-backed insights. Strong collaboration skills are essential, as you will partner with internal stakeholders and cross-functional teams to drive meaningful results. In our fast-paced environment, adaptability is key—your ability to pivot quickly and respond to business priorities will ensure you make the greatest possible impact. What you’ll do: Develop a deep understanding of business challenges and translate them into effective analytical solutions. Analyze complex datasets to uncover trends, patterns, and actionable insights that support strategic initiatives. Design, build, and maintain data models and reporting systems, leveraging both classical and modern machine learning and deep learning algorithms to enable robust analysis and informed decision-making. Evaluate and report on model performance and business impact, ensuring insights are clear, actionable, and effectively communicated. Proactively identify opportunities for product and process improvements using advanced analytics and machine learning techniques. Ensure accuracy and reliability of data-driven solutions through rigorous testing, validation, and continuous optimization. Stay ahead of industry trends by keeping up with emerging technologies and best practices in AI, machine learning, and healthcare analytics. ISMS roles and responsibilities: Fair understanding of Information Security practices. Align to the organization policies and procedures. Ensure to get updated with ISMS roles as assigned by the department/process heads. Required Qualifications: 4+ years of hands-on experience in Python with strong profic

Opportunity Overview: As Quality Specialist will implement quality measurements, scoring, and performance improvement data designed to improve operational efficiency while exceeding industry standards for quality performance. You will apply subject-matter expertise to guide and support the training and quality needs of Intake Operations. This includes building the success of the company through training and development. With a solid foundation in quality analysis, feedback, instructing/coaching; you are expected to be flexible and nimble in your role to manage short- and long-term projects as well as dealing with day-to-day QA tasks. Cohere culture is one of partnership and ownership. What you’ll do: Translate QA findings into clear insights and recommendations for operational leaders and cross-functional partners. Develop and deploy structured coaching sessions based on audit findings to improve accuracy, decision-making, and skill development. Create and ensure accuracy of SOPs, job aids, workflow guides, and new product readiness materials. Facilitate onboarding and ongoing upskilling sessions using adult learning principles and SME feedback. Lead QA/Training side of project implementations by operationalizing workflow changes, quality expectations, and training updates into the business. Partner with Product, Clinical, Client Services, and Operations to validate workflow changes and identify potential quality or compliance risks. Support change management by communicating process updates and aligning QA expectations across impacted teams. Serve as a subject matter expert and advisor to frontline leaders on quality trends, training needs, and operational readiness. Manage multiple concurrent priorities with independence, ownership, and accountability for deliverables, exercise discretion and independent judgment. Step into operational queues to maintain service levels and ensure continuity of operations, as needed during high-volume periods. Other duties as assig

Opportunity Overview: We are seeking a Technical, Hands-on Manager to lead a team responsible for building and maintaining high-quality healthcare market datasets and analytics that power internal insights, benchmarking, and external thought leadership . In this role, you will lead a team of data analysts responsible for the development, quality assurance, and ongoing refresh of market data assets. You will combine strong people leadership with technical expertise in analytics and data science to ensure reliable, scalable data pipelines and actionable insights. The ideal candidate is both a strong people manager and a hands-on analytics leader who can guide analysts in rigorous data methodology, translate data outputs into meaningful business insights, and partner closely with commercial strategy, product, clinical, and analytics stakeholders. What you’ll do: Lead and develop a team of data analysts responsible for the creation, validation, and ongoing refresh of healthcare market datasets. Mentor analysts in data methodology, statistical reasoning, and reproducible analytics practices to ensure consistent and rigorous analysis across the team. Establish analytic standards, coding practices, and documentation expectations to ensure all datasets and insights produced by the team are reproducible and scalable. Establish and maintain governance processes for market data including versioning, documentation, auditability, and traceability of data sources and methodologies. Oversee change-detection logic, ensuring the team systematically identifies and documents additions, removals, and shifts in the market dataset. Define and enforce data quality standards across ingestion, transformation, and analysis workflows. Collaborate with Data Engineering and Platform teams to ensure the underlying data infrastructure supports scalable ingestion, transformation, and analytics workflows used by the analyst team. Translate analytic outputs into business insights, benchmarks, and st

Overview: Guidepoint's Engineering team thrives on delivering innovative technology solutions that accelerate revenue growth, reduce costs and increase efficiency and productivity. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to create new products and improve existing platforms to optimize the seamless delivery of our services. This is a hybrid position based in Pune. What You’ll Do: Design, build, and maintain a test automation framework. Automate test cases and design, develop, and execute reusable and maintainable automated scripts. Analyze issues related to automated and/or load testing, research and propose solutions, and add, modify, or enhance previously recorded automated scripts. Analyze test results and determine root causes of issues. Determine severity and scope of issues to guide prioritization for resolution. Provide regular software defect tracking and regression updates and present status and technical reports as required. Assist in planning, developing, and delivering training related to automated test tools and frameworks. Review, establish, and maintain thorough documentation, templates, and process improvements and communicate technical issues to engineering leadership and business stakeholders. Work closely with other engineering team members and departments on technical issues and updates. Keep abreast of technology trends and advancements within areas of specialization and incorporate improvements into the overall testing process. What You Have: 7+ years of experience in QA Automation engineering is a must. Experience with writing test scripts from scratch for manual testing Strong experience in automated testing practices and tools — Playwright/Selenium/Cypress/Any Othe

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

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

Job title: Liquidity reporting Compliance Finance has mobilised a multi-year Integrity of Regulatory Reporting (IRR) programme to ensure that Regulatory Reporting across the Group is fit for purpose; accurate, timely and complete. The IRR programme is responsible for overseeing the design and implementation of a set of standards and control outcomes that will be consistently applied across the end-to-end Regulatory Reporting Process. IRR will drive the interconnectivity across various strategic transformation programs to ensure linkages and dependencies are well understood and aligned to the IRR standards and control outcomes. The Liquidity Product Based Review (LIQ_PBR) workstream is part of the overall data controls framework for Liquidity Regulatory Reporting. Product Based Reviews enable Finance to develop key assurance that the end to end data flow for Business Data Elements (“BDE’s”), from upstream Primary Booking Systems to downstream Reporting data warehouses (including the Liquidity Reporting Finance Data Application / Platform) complies with the applicable group data standards and controls (‘DMOV’ and ‘DUSE’), is complete and valid for the production of key Liquidity reports and metrics and that data quality or completeness issues discovered through the PBR process are appropriately logged, reported, escalated and managed to resolution. The LIQ_PBR Data Analyst contributes to Global Finance, supporting data flow discovery and documentation, from upstream primary trading and booking systems (PTS) to downstream Liquidity reporting platforms. The role holder will support the Liquidity PBR workstream to undertake quantitative and qualitative data documentation, test case formulation, data test execution and results tabulation, in order to provide the necessary assurance for management with regards to the traceability, lineage, transformation and controls on Liquidity business data elements from source systems to reporting. In this regards, the LIQ PBR d

About us: Sigmoid is a Leading Data Solutions company offering best-in-class services in Data Engineering and Data Science. Our 1300+ team is strongly driven by the passion to unravel data complexities. We generate actionable insights and translate them into successful business strategies. We leverage. our expertise in Open Source and Cloud Technologies to develop innovative frameworks catering to specific client needs. Our unique approach has positively influenced the business performance of our Fortune 1000 clients across the globe. We have a particularly strong presence in Advertising Technology, Retail-CPG, and BFSI, wherein we are working with Top-3 players in each of these sectors. We are recognized among the world's most innovative tech companies and have won several awards like the TiE50 Winners (2018) and NASSCOM Emerge 50 (2017), among others. Backed by Sequoia and Qualcomm Ventures, Sigmoid operates out of California- San Francisco and Santa Clara, New Jersey, and Bengaluru, India. Learn more: https://www.sigmoid.com/company/ or https://sigmoid.com/careers/ for careers. ᐧ - Our Data Science team worked with one of the largest Ad Tech agencies in the world to build ML and AI-driven solution for Campaign Management and Audience Segmentation to increase ROI for their advertising campaigns. Please refer the JD below: As a Frontend Lead , you will be responsible for developing cloud-first web applications. You will lead mixed discipline development teams to deliver a product to an agreed scope, time and budget and to a high standard. Responsibilities : Align Sigmoid with key Client initiatives Interface daily with customers across leading Fortune 500 companies to understand strategic requirements Ability to understand business requirements and tie them to technology solutions Build a delivery plan with domain experts and stay on track Excellent experience in Application deve

Learning & Development Partner – Data Engineering Business Experience: 10–13 Years Role Purpose The Learning & Development Partner will work closely with the Data Engineering business leadership to design, drive, and deliver learning strategies that build critical technical capability, leadership depth, and future-ready skills. This role acts as a strategic partner to the business, ensuring learning directly enables business growth, delivery excellence, and talent readiness. Key Responsibilities Business Partnership & Strategy Partner with Data Engineering leaders to understand business priorities, capability gaps, and future skill needs. Translate business goals into structured learning roadmaps covering technical, leadership, and behavioral competencies. Develop and execute an AI capability-building roadmap for employees, aligned with business priorities and emerging technology trends. Act as a trusted advisor to leaders on talent development and skill readiness. Technical and Capability Development Design and curate learning interventions for Data Engineering roles. Leverage internal Subject Matter Experts (SMEs) and external partners to create high-impact, contextual learning programs. Ensure learning pathways are role-based, progressive, and aligned to career growth. Leverage AI tools for content design and development, and learning operations. Leadership and Behavioral Development Support the design and delivery of leadership development programs for technical and people leaders within the Data Engineering function. Embed skills such as communication, stakeholder management, execution excellence, and people leadership. Learning Governance and Effectiveness Define success metrics to measure learning effectiveness and business impact. Review learning outcomes through feedback from managers, mentors, and participants. Continuously refine programs based on data, feedback, and evolving business needs. Leverage Learning Management Systems (LMS) to track

As an Manager - Legal & Compliance in the Legal Department, you will play a pivotal role in supporting the organization’s legal framework, ensuring compliance, mitigating risks, and enabling smooth business operations. This role offers a unique opportunity to grow within a globally reputed conglomerate known for its ethical standards, sustainability focus, and commitment to community development. You will be exposed to various legal disciplines including corporate law, contract management, regulatory compliance, and dispute resolution, allowing you to develop a well-rounded skill set and a deep understanding of the business landscape. Source: Adani Group | Job ID: 57020

About Paytm: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are looking for a rockstar Senior Product Manager – Lending Risk to lead the Merchant Lending Risk charter at Paytm. You will own the risk product strategy that powers unsecured merchant loans, balancing aggressive growth with rock-solid credit quality and regulatory integrity, while partnering closely with Risk, Data Science, Engineering & Business. Key Responsibilities: * Define and drive the product roadmap for merchant lending risk. * Build and scale rule engines (BRE), decision engines, and model orchestration layers. * Implement audit-ready decision logs and explainability layers. * Build robust policy versioning and experimentation infrastructure. * Lead a team of credit risk analysts owning underwriting, risk, fraud, and monitoring. Requirements: * 5+ years of product management experience in the consumer or fintech industry. * Strong experience in unsecured merchant or SME lending preferred * Strong analytical and structured thinking ability. Why join us •A collaborative output driven program that brings cohesiveness across businesses through tech

About the Role: We are looking for an experienced Risk Management professional to lead and strengthen our Market Risk and Margin Trading Facility (MTF) risk functions. The role will be responsible for developing robust risk frameworks, monitoring trading and client exposures, ensuring regulatory compliance, and safeguarding the organization against market-related risks while enabling sustainable business growth. Key Responsibilities: Market Risk Management - - Develop, implement, and continuously enhance market risk management frameworks across Equity, Derivatives, and Margin Trading Funding (MTF) businesses. - Monitor and assess market risk exposures arising from cash equities, futures, options, and leveraged products. - Establish and review risk limits, exposure thresholds, concentration limits, and margin policies. - Track key risk indicators (KRIs) and ensure timely escalation of potential risk events. MTF & Exposure Risk Management: - Manage client-level and portfolio-level risks associated with Margin Trading Funding (MTF). - Define collateral eligibility, haircut frameworks, and funding exposure limits. - Monitor leveraged positions and ensure adequate margin coverage across client portfolios. - Evaluate concentration risks and implement preventive controls to minimize losses. Risk Analytics & Monitoring: - Conduct stress testing, scenario analysis, and sensitivity assessments under varying market conditions. - Develop risk models and analytical tools to evaluate portfolio resilience during periods of volatility. - Analyze trading patterns, market trends, and exposure data to identify emerging risks. - Drive automation and real-time risk monitoring capabilities across trading systems. Regulatory Compliance & Governance: - Ensure compliance with SEBI, NSE, BSE, Clearing Corporation, and other applicable regulatory requirements. - Oversee risk-related regulatory reporting, including exposure monitoring, margin compliance, and CTCL reporting. - Coordinate w

About Us: Paytm is India’s leading mobile payments and financial services distribution company. A pioneer of the mobile QR payments revolution, Paytm builds technology that enables small businesses and consumers to participate in the digital economy. Our mission is to serve half a billion Indians and bring them into the mainstream economy through technology. About the Team: The Credit Risk Product Team is at the core of our lending operations, ensuring that our risk assessment models are efficient, scalable, and compliant with regulatory frameworks. The team collaborates closely with data scientists, engineers, and business stakeholders to develop and enhance credit risk models, decisioning frameworks, and risk mitigation strategies. By leveraging advanced analytics and machine learning, the team continuously refines underwriting processes to optimize loan performance and reduce defaults. About the Role: We are seeking a detail-oriented Credit Analyst to join our risk management team. The ideal candidate will be responsible for implementing credit risk policies, optimizing risk policies, and ensuring compliance with regulatory requirements. You will work closely with data scientists, product managers, and credit teams to enhance our underwriting models and decisioning frameworks. Key Responsibilities: * Analyze credit risk across various products, including merchant and personal loans, postpaid. * Liaison with the business team to understand the credit risk policies and implement the same on platform. * Implement the credit risk policies on our proprietary platform. * Monitor performance of credit risk policies. Share feedback with product and Policy team what's working well and what needs improvement. * Utilize alternative data sources, machine learning models, and traditional credit assessment techniques to enhance risk evaluation. * Conduct testing and scenario analysis to measure policy resilience. * Monitor key risk indicators (KRIs) and provide actionable

We are seeking a Front-End Integration Engineer for the NIC Silicon group. Join our team at NVIDIA's Networking business unit and be part of the innovative build and implementation of the next generation Network Adapter Silicon chips. Contribute to the development of powerful communication devices. What You'll Be Doing: Own and maintain Continuous Integration pipelines. Monitor, complete, and fix daily and nightly CI flows in front-end build areas. These include Lint, Synthesis, Equivalence Checking and Simulation. Automate EDA Flows: Build, develop, and maintain robust automation scripts using Python, Tcl scripting, and Shell to integrate EDA tools (Synopsys, Cadence) into automated build pipelines. Manage Perforce Integration: Maintain multi-IP branch/stream strategies, manage workspace specs, complete hardware build drops, and handle release labels/tags in Perforce (Helix Core). Support Engineering Teams: Act as the primary point of contact for RTL and verification engineers to debug flow crashes, bottlenecks, environment setups, and CI failure reports. Enforce Quality Gates: Implement automated check-in and change list triggers to run sanity checks, linting, and style enforcement before code is committed to main streams. Optimize Infrastructure: Monitor compute farm resources (LSF) and storage usage to reduce pipeline runtime and improve overall execution efficiency. What We Need to See: Experience: 2+ years of hands-on industry experience in ASIC/SoC front-end integration, CAD, or EDA flow automation. Education: Bachelor’s degree or Master’s degree or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Perforce Expertise: Strong hands-on experience managing Perforce (P4 / Helix Core) streams, workspace specs, c

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and