Applied Risk Standards Specialist in India

Opportunity Overview: As a Staff Data Scientist at Cohere Health, you will serve as a technical leader across high-priority initiatives, shaping how data science is applied to some of the most complex challenges in healthcare. You’ll drive the design of advanced analytical and modeling solutions, influence strategic direction, and partner deeply across Product, Clinical, and Engineering to deliver scalable, high-impact outcomes. This role goes beyond execution. You’ll define approaches, set standards, and guide others in solving ambiguous, high-leverage problems. You’ll play a critical role in advancing the maturity of data science at Cohere while contributing directly to improving clinical and operational decision-making. What you’ll do: Lead the design and execution of complex, high-impact data science initiatives across multiple domains Define analytical frameworks and modeling approaches for ambiguous, strategic problem spaces Partner with senior stakeholders to shape problem definition, prioritize opportunities, and influence decision-making Develop and deploy advanced models and scalable analytical solutions that drive measurable outcomes Establish best practices for experimentation, model development, and analytical rigor across the team Mentor and guide other data scientists, providing technical leadership and elevating team capabilities Drive cross-functional alignment to ensure solutions are practical, scalable, and integrated into workflows ISMS roles and responsibilities: Good knowledge of Information security Oversee specific business processes within the ISMS. Responsible to manage the ISMS documentation, conduct risk assessments, and implement risk treatment plans. Risk Owners are responsible for identifying, assessing, and managing risks within their areas of responsibility. They are also responsible for implementing risk treatment plans. Conduct the BCP and other test related to information security continuity along with CISO Responsible for monitor

Roles & Responsibilities:- Planning Facilitates roadmap meetings. Ensures the business commit happens with proper coordination across teams and scope is well understood. Derives functional specs and provides a solution Architecture based on PRD. Ensures a proper project plan is available for all major features. Presentation to all Stakeholders. Planning and administering both projects and the overall program. Escalation point for any program. Execution Owns the overall execution plan that is derived from individual team plans. Ensure that teams follow the agreed process and guidelines. Status communication to all stakeholders.(Business & Engineering). Change Management. RISK management. Ensures that deliverables meet the quality standards set. Responsible for all cross team communications. Guides the team on best practices and processes. Maintains the KPI Metrics @ division and Program Level. Closure Lessons Learned are documented and applied in further programs. Contracts are formally closed and conduct necessary meetings to check and communicate that the key tenets of the project are met or not. Transfer of Deliverable s to customer and support functions. Desired Skills and Experience:- 6-8 years of technical program management experience. Deep hands-on technical expertise & systems knowledge. Excellent understanding ofprocessing platforms and queues Must have exposure to leading product development within a high growth environment Ability to lead cross functional teams of developers, designers, DevOps engineers. A proven track record of delivering initiatives from conception through completion on time, within budget and on or beyond scope. Requirement gathering, definition, and documentation experience & manage release schedules Ability to communicate effectively at all levels with executives and technical teams. Ability to handle multiple priorities in a fast-paced environment & deep&nbsp

Roles & Responsibilities:- Planning Facilitates roadmap meetings. Ensures the business commit happens with proper coordination across teams and scope is well understood. Derives functional specs and provides a solution Architecture based on PRD. Ensures a proper project plan is available for all major features. Presentation to all Stakeholders. Planning and administering both projects and the overall program. Escalation point for any program. Execution Owns the overall execution plan that is derived from individual team plans. Ensure that teams follow the agreed process and guidelines. Status communication to all stakeholders.(Business & Engineering). Change Management. RISK management. Ensures that deliverables meet the quality standards set. Responsible for all cross team communications. Guides the team on best practices and processes. Maintains the KPI Metrics @ division and Program Level. Closure Lessons Learned are documented and applied in further programs. Contracts are formally closed and conduct necessary meetings to check and communicate that the key tenets of the project are met or not. Transfer of Deliverable s to customer and support functions. Desired Skills and Experience:- 6-8 years of technical program management experience. Deep hands-on technical expertise & systems knowledge. Excellent understanding ofprocessing platforms and queues Must have exposure to leading product development within a high growth environment Ability to lead cross functional teams of developers, designers, DevOps engineers. A proven track record of delivering initiatives from conception through completion on time, within budget and on or beyond scope. Requirement gathering, definition, and documentation experience & manage release schedules Ability to communicate effectively at all levels with executives and technical teams. Ability to handle multiple priorities in a fast-paced environment & deep&nbsp

Roles & Responsibilities:- Planning Facilitates roadmap meetings. Ensures the business commit happens with proper coordination across teams and scope is well understood. Derives functional specs and provides a solution Architecture based on PRD. Ensures a proper project plan is available for all major features. Presentation to all Stakeholders. Planning and administering both projects and the overall program. Escalation point for any program. Execution Owns the overall execution plan that is derived from individual team plans. Ensure that teams follow the agreed process and guidelines. Status communication to all stakeholders.(Business & Engineering). Change Management. RISK management. Ensures that deliverables meet the quality standards set. Responsible for all cross team communications. Guides the team on best practices and processes. Maintains the KPI Metrics @ division and Program Level. Closure Lessons Learned are documented and applied in further programs. Contracts are formally closed and conduct necessary meetings to check and communicate that the key tenets of the project are met or not. Transfer of Deliverable s to customer and support functions. Desired Skills and Experience:- 6-8 years of technical program management experience. Deep hands-on technical expertise & systems knowledge. Excellent understanding ofprocessing platforms and queues Must have exposure to leading product development within a high growth environment Ability to lead cross functional teams of developers, designers, DevOps engineers. A proven track record of delivering initiatives from conception through completion on time, within budget and on or beyond scope. Requirement gathering, definition, and documentation experience & manage release schedules Ability to communicate effectively at all levels with executives and technical teams. Ability to handle multiple priorities in a fast-paced environment & deep&nbsp

About Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. At Target, we have a timeless purpose and a proven strategy. Some of the best minds from different backgrounds come together to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. Target in India operates as a fully integrated part of Target's global team and supports the company's global strategy and operations. About the team The IT Data Platform (ITDP) team enables data-driven management of Target's technology ecosystem by bringing together trusted data and insights across technology assets, software delivery, infrastructure, reliability, security, engineering effectiveness, and technology operations. The Analytics team within ITDP transforms this data into metrics, analytical products, dashboards, predictive insights, and decision-support capabilities that help technology teams understand what is happening, why it is happening, where risk may be emerging, and where action is needed. The team is building toward an analytics capability that progresses from descriptive and diagnostic analytics to predictive and prescriptive insights, using statistical methods, applied data science, and GenAI where each approach is appropriate. As a Senior Data Analyst for Target's IT Data Platform Analytics team you'll: <p style="co

About us: Working at Target means helping all families discover the joy of everyday life. About Target As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. At Target, we have a timeless purpose and a proven strategy. Some of the best minds from different backgrounds come together to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. Target in India operates as a fully integrated part of Target's global team and supports the company's global strategy and operations. About the team The IT Data Platform (ITDP) team enables data-driven management of Target's technology ecosystem by bringing together trusted data and insights across technology assets, software delivery, infrastructure, reliability, security, engineering effectiveness, and technology operations. The Analytics team within ITDP transforms this data into metrics, analytical products, dashboards, predictive insights, and decision-support capabilities that help technology teams understand what is happening, why it is happening, where risk may be emerging, and where action is needed. The team is building towards an analytics capability that progresses from descriptive and diagnostic analytics to predictive and prescriptive insights, using statistical methods, applied data science, and GenAI where each approach is appropriate. <p style="color:!im

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. The Role The Customer Engagement Manager owns a portfolio of strategic enterprise accounts end-to-end: every engagement, every outcome, every relationship, every expansion opportunity. Think of this as the McKinsey Associate Partner model applied to enterprise AI delivery. You are the single point of accountability for your accounts. The customer calls you — not your manager — when they have a problem. You staff delivery teams, oversee solution quality, run executive readouts, measure ROI, drive adoption, rebuild trust when things break, and grow the book through proven production value. This is not a project management role. This is an account ownership role that combines delivery orchestration, outcome ownership, customer leadership, and commercial growth. What You’ll Own 1. Account Ownership Own your accounts end-to-end: every engagement, every outcome, every relationship. Everything good or bad stops with you. Be the single point of contact the customer calls for any problem — delivery, quality, adoption, escalation, or expansion. Maintain a holistic view of each account: engagement status, risk exposure, opportunity pipeline, and the customer’s strategic priorities for the qua

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Intermediate Backend Engineer - Database Change Management An overview of this role As an Intermediate Backend Engineer on the team that owns GitLab's database upgrade experience, you'll help build the software that makes upgrades safe, fast, and predictable for both GitLab.com and self-managed customers. Working in Ruby on Rails and PostgreSQL alongside experienced engineers, you'll build and test the system that applies database schema changes during an upgrade and catches problems before they reach customers. It is an all-remote, asynchronous, highly team-based environment where you'll get mentorship and grow your skills

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. Roblox’s Safety Operations team is dedicated to protecting our users from bad actors. The Critical Harms Investigations & Incident Management (CHIIMS) team applies subject matter expertise to our highest-level risks, working closely with cross-functional partners. As part of our commitment to safety, we are looking for a Junior Specialist with an investigator’s mindset, skills, and curiosity to investigate and respond to some of our highest-risk escalations. You will work with teams and leaders across the company to quickly and professionally respond to urgent requests for support, and balance competing priorities to get the job done. You will share findings with internal partners to help identify and mitigate risks across the platform. Please Note: This role may review graphic, controversial, and sometimes offensive content in line with Roblox’s content moderation practices. You Will: Incident Investigation and Triage Support, then lead, rapid investigations into critical and complex incidents, including but not limited to threats against child safety, violent extremism, and other high-severity harms. Utilize internal tools, data analysis, and open-source inte

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the role We are looking for a Quality Architect/Lead with hands-on experience building quality systems and has deep expertise in building and scaling test automation frameworks.The role requires an individual who applies systems thinking to solving complex problems. They should be able to understand the product from various perspectives and be able to effectively create testing programs that validate not just functionality but performance, reliability and user experience.DevRev is building a next generation AI native product that requires us to build novel test systems for the Agent AI platform. The role is mult-faceted and is going to continuously evolve with time. What you'll do Test Case Design and Documentation Actively use AI and intelligent agents to accelerate test generation, test maintenance, and coverage expansion. Leverage LLMs to convert requirements, user stories, and production incidents into high-quality automated test cases. Reduce reliance on manual test case creation by introducing AI-assisted automation workflows, with human review and ownership. Apply AI to optimize test selection, prioritization, and execution based on risk, code changes, and historical failures. Use AI to assist in identi

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

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role can be based in Delhi, Mumbai or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this role, you will: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. This role can be based in Delhi, Mumbai, or Bangalore. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees In this

About DevRev At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries. About the Role: As a Forward Deployment Architect, you will serve as a hands-on senior technical architect on the Applied AI Engineering team, owning the end-to-end design and delivery of AI-driven business transformation projects. You'll work closely with pre-sales teams to scope technical integration and implementation strategies, translating business requirements into architectural solutions. Once opportunities move to post-sales, you'll own the detailed technical designs from original scoping documents and drive execution including hands-on coding to build proofs-of-concept, custom integrations, and solution prototypes that validate technical feasibility. As the technical owner of the customer relationship, you'll partner cross-collaboratively to ensure successful delivery. Your role spans from understanding domain-specific customer needs to architecting scalable, agent-based AI solutions using DevRev's platform**, with direct involvement in implementing key technical components and debugging complex integration challenges. This position requires a unique blend of enterprise architecture expertise, AI solution design, hands-on development skills, customer empathy, and cross-functional collaboration. You'll act as

Research Engineer, Applied AI Location: Bangalore (or throughout India remote-friendly with travel) About EnCharge AI: EnCharge AI is building the next generation AI platform. Our novel in-memory-computing architecture delivers a 10x step-function improvement in compute energy efficiency and performance for AI inference workloads. As the demands of artificial intelligence move beyond today's models, we believe fundamental underlying infrastructure must evolve. We are an experienced team of AI researchers, silicon & systems engineers, and architects backed by leading investors, poised to become the essential platform for the next wave of AI innovation. The Opportunity: Modern AI workloads—from large language models to diffusion-based generators to multimodal systems—represent some of the most compute-intensive frontiers in AI, and some of the most promising applications for our hardware’s energy efficiency advantages. We’re building a vertically integrated AI stack that will showcase the transformative potential of our silicon while delivering real value to customers today. We are seeking a Research Engineer to push the boundaries of AI model capability, quality, and efficiency. You’ll build fine-tuning and post training pipelines, develop rigorous benchmarking frameworks, and work at the intersection of ML research and hardware-aware optimization—ensuring our models run beautifully on our silicon. This is a role for someone who thrives at the boundary between research and engineering. You’ll read papers, implement techniques, and ship production-quality code—all in service of making AI inference faster, cheaper, and better. Key Responsibilities: Algorithmic Acceleration: Research and implement state-of-the-art techniques to accelerate AI inference—quantization, sparsity,