4010 Openai Jobs - Page 17

About the Role: Join us as an ML/Agentic AI Engineering Intern to work on frontier problems in Generative AI, Agentic AI, and Optimization-focused ML, contributing to real-world intelligent systems powered by deep learning and language models. Responsibilities: Build, fine-tune, and deploy LLMs, multimodal models. Implement memory-augmented agents, chain-of-thought agents, or tool-using agents. Collaborate on end-to-end ML pipelines from preprocessing to deployment. Work with vector databases, RAG pipelines, and prompt engineering. Requirements: Strong background in Python, PyTorch/TensorFlow, HuggingFace. Experience with LLMs (OpenAI, Gemini, LLaMA, Claude). Experience with agentic frameworks (LangChain, Autogen, CrewAI). Good grasp of optimization techniques (gradient descent, metaheuristics, etc.). Familiarity with MLOps and deployment strategies is a plus. Time Period : Minimum 3 months (Can be extended based on candidate's performance) For Inquiry Contact: Jnan Yalla, Chief AI Officer, DataTeach.Ai Phone : +91-9150859936 Email : jnan@datateach.ai Job Types: Full-time, Fresher Pay: Up to ₹8,000.00 per month Benefits: Work from home Language: English (Required) Telugu (Preferred) Location: KPHB Colony, Hyderabad, Telangana (Preferred) Work Location: In person Expected Start Date: 04/08/2025

Prime is a cutting-edge Edtech startup focused on building intelligent, autonomous AI agents that collaborate in multi-agent systems. We create agent-based architectures that enable autonomous decision-making and seamless cooperation to solve complex problems. Join us to help pioneer the future of decentralized AI! We are a fast-growing Edtech company driven by innovation, collaboration, and adaptability. Our mission is to deliver cutting-edge solutions that align with market demands and technical feasibility. Role Overview As a Multi-Agent Systems Architect at Prime Corporate, you will design and develop multi-agent architectures that empower AI agents to work together autonomously. You will be responsible for creating scalable, robust systems that enable agents to communicate, negotiate, and collaborate effectively, driving innovation in AI-driven automation. Key Responsibilities • Design and implement multi-agent system architectures that enable autonomous decision- making and collaboration among AI agents. • Develop agent-based frameworks that support task allocation, communication protocols, and coordination strategies. • Build and optimize agent communication layers using APIs, vector databases, and messaging protocols. • Integrate large language models (LLMs) and other AI components into agent workflows to enhance capabilities. • working directly with LLM APIs (OpenAI, Anthropic, Mistral, Cohere, etc.). • Collaborate closely with product, engineering, and research teams to translate business requirements into technical solutions. • Ensure scalability, reliability, and fault tolerance of multi-agent systems in production environments. • Continuously research and apply the latest advances in multi-agent systems, decentralized AI, and autonomous agents. • Document architecture designs, workflows, and implementation details clearly for team collaboration and future reference. What We’re Looking For: • Practical experience designing and building multi-agent systems or agent-based architectures. • Proficiency in Python and familiarity with AI/ML frameworks (e.g., LangChain, AutoGen, HuggingFace). • Understanding of decentralized control, agent communication protocols, and emergent system design. • Experience with cloud platforms (AWS, GCP, Azure) and API integrations. • Strong problem-solving skills and ability to work independently in a remote startup environment. • No formal degree required - your skills, projects, and passion matter most. Location - 100% Onsite Experience - 0-1 year Compensation Structure : This role follows a structured pathway designed to prepare candidates for the responsibilities of a full-time position. • Pre-Qualification Internship (Mandatory): • Duration: 2 months • Stipend: ₹5,000/month • Objective: To evaluate foundational skills, work ethic, and cultural fit within the organization. • Internship (Mandatory) • Duration: 4 months • Stipend: ₹5,000–₹15,000/month (based on performance during the pre-qualification internship) Why Join Prime Corporate? • Work remotely with a passionate, innovative startup. • Contribute to pioneering multi-agent AI systems shaping the future of autonomous technology. • Grow your career from internship to full-time with competitive pay and equity opportunities. • Career Growth: Prove your potential and secure a full-time role with competitive compensation. Note: This is not a direct full-time job opportunity. Candidates must commit to our mandatory two- stage internship process. If you’re genuinely interested in joining us, we’d love to hear from you! Ready to build the future of autonomous AI? Apply now and join Prime Corporate mission! 1.Industry Software Development 2. Employment Type 3.Internship

About Us Through Fintricity, our core consulting brand, has been at the forefront of technology and digital transformation for over 19 years, most recently with a focus on bringing innovation to leading brands through expertise in big data, analytics and technologies (such as Generative AI) that are transforming operations, products, services, business models and sectors. Pivoting to a AI services and venture firm, Fintricity is working on a range of exciting new projects and ventures to build new decentralised business models, technology platforms and disrupt and transform multiple industries. PLEASE DO NOT SEND A CONNECT ON LINKEDIN OR YOUR APPLICATION WILL BE IMMEDIATELY REJECTED. TAKE THE NEXT STEP: Are you truly collaborative? Succeeding at Fintricity means respecting, understanding and trusting colleagues and clients. Challenging others and being challenged in return. Being a strong communicator, passionate, entrepreneurial and innovative about what you do. Driving yourself forward, always wanting to do things the right way. Does that sound like you? Together. That’s how we do things. We offer a supportive, challenging and diverse working environment. We value your passion and commitment, and reward your performance. Keen to achieve the work-life agility that you desire? We're open to discussing how this could work for you (and us). About the Role We are looking for a Senior Python Engineer (Full Stack) to design and build the next generation of AgenticOps platforms, enabling scalable, observable, and safe deployment of autonomous AI agents and LLM workflows. This is a hands-on engineering role with broad responsibilities—from building backend services that orchestrate LLM pipelines, to designing web UIs that monitor, audit, and control agentic behavior. You’ll work at the intersection of Generative AI, DevOps, and full-stack development, helping to productize and operationalize intelligent agents across cloud environments. Responsibilities Backend Engineering (Python) Build modular services for prompt orchestration, vector DB interactions, agent memory/state stores, and retrieval pipelines. Create scalable APIs for agent task execution, human-in-the-loop control, and logging. AgenticOps & LLM Integration Develop tools to version, deploy, monitor, and rollback LLM agents and RAG-based workflows. Work with cloud-based LLM APIs (OpenAI, Claude, Gemini) and open-source models (LLaMA, Mistral, etc.) via LangChain or similar. DevOps & Infrastructure-as-Code Automate deployment pipelines (Docker, K8s, Terraform), observability stacks (Prometheus, Grafana), and secure API gateways. Own CI/CD and testing for both code and LLM-based behavior. Frontend Development (React, Nextjs or Vue preferred) Build intuitive UIs for monitoring agents in real time, visualizing traces, showing decision logs, version history, and alerts. Enable role-based access, interactive prompt testing, and behavior auditing. Data & Observability Create feedback collection pipelines, behavior traces, token usage dashboards, and incident response views. Integrate OpenTelemetry, custom metrics, and structured logging. Collaboration & Leadership Work cross-functionally with AI scientists, DevOps engineers, and product managers. Provide mentorship and guide best practices in full-stack design and Pythonic architecture. Requirements 5+ years in Python-based full-stack or backend development Solid experience with modern web frameworks (e.g., FastAPI, Django, Flask) Proficiency in frontend frameworks like React, Vue, or Svelte Strong DevOps/infra skills: Docker, Kubernetes, Terraform, GitHub Actions or similar Experience with LLM APIs and frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) Familiarity with vector DBs (FAISS, Weaviate, Pinecone) and retrieval-based architectures Experience building monitoring/observability tooling (Grafana, Prometheus, ELK) Understanding of secure API design, authN/authZ, and agent sandboxing best practices Nice to Haves Experience building agent frameworks or workflow orchestration UIs Familiarity with LLMOps and Responsible AI patterns (prompt auditing, guardrails, evals) Contributions to open-source infra or AI tooling Experience with serverless (e.g., AWS Lambda, Google Cloud Functions) What You’ll Get Opportunity to shape the agent infrastructure stack of the future High-impact role in a cross-disciplinary team at the cutting edge of LLMs and automation Access to GPU/LLM infra and modern development tools Competitive compensation, flexible work, and continuous learning budget

As a highly skilled and experienced Generative AI Developer, you will be responsible for designing, developing, and implementing generative AI models using state-of-the-art techniques. Your role will involve collaborating with cross-functional teams to define project goals, research requirements, and develop innovative solutions. It will be crucial to optimize model performance through experimentation, hyperparameter tuning, and advanced optimization techniques. Your expertise in generative AI Models, Frameworks, and techniques will be essential in applying them to develop innovative solutions. You will have hands-on exposure to integrating at least one of the popular LLM API endpoints such as OpenAI, Claude, Mistral. Additionally, your proven track record of working in cloud computing environments will enable you to deploy and manage machine learning models in the cloud effectively. Staying up-to-date on the latest advancements in generative AI, deep learning, and related fields will be vital for incorporating new techniques and methods into the team's workflow. Clear and concise documentation of generative AI models, processes, and results will be expected from you. Effective communication of complex concepts and results to both technical and non-technical stakeholders will play a key role in your responsibilities. Furthermore, you will provide support and guidance to other team members, contributing to a positive and collaborative working environment. Your qualifications should include a Bachelor's degree in computer science, artificial intelligence, or a related field, along with at least 2 years of relevant experience in generative AI development. Strong programming skills in Python with 8+ years, experience in AI/ML, proficiency in machine learning frameworks such as Lang chain, llama-index, FastAPI, Tensor Flow, PyTorch, or scikit-learn, experience with cloud computing platforms like Azure, excellent communication, and problem-solving skills, as well as the ability to work both independently and as part of a team.,

We are hiring an AI Solutions Engineer at thinkbridge, where you'll design, develop, and deliver impactful AI-powered enterprise solutions tailored for our diverse range of clients and internal products. You'll work closely with clients to deeply understand their business challenges and translate them into scalable, robust AI systems. This position blends software engineering excellence, strategic product thinking, and creative problem-solving, requiring you to make informed decisions about technology choices, deployment strategies, and long-term optimization. You'll also have the opportunity — and responsibility — to identify and incubate product opportunities for thinkbridge, transforming successful client engagements into scalable, productized AI offerings. About think bridge think bridge is how growth-stage companies can finally turn into tech disruptors. They get a new way there – with world-class technology strategy, development, maintenance, and data science all in one place. But solving technology problems like these involves a lot more than code. That’s why we encourage think ’ers to spend 80% of their time thinking through solutions and 20% coding them. With an average client tenure of 4+ years, you won’t be hopping from project to project here – unless you want to. So, you really can get to know your clients and understand their challenges on a deeper level. At thinkbridge, you can expand your knowledge during work hours specifically reserved for learning. Or even transition to a completely different role in the organization. It’s all about challenging yourself while you challenge small thinking. think bridge is a place where you can: Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues. Move faster – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done. Go further – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship. think bridge. There’s a new way there. ™ Why This Role Is Different At thinkbridge, we operate at the intersection of innovation, client success, and product excellence. This senior role empowers you to leverage your extensive ML and AI expertise to directly influence our strategic direction, drive innovation in diverse industry domains, and develop transformative solutions. Your leadership will set high technical standards, shape new AI-driven product offerings, and deliver measurable, outcome-oriented results aligned with our core values of Outcomes, Quality, Ownership, Accountability, and Communication. Join us to lead impactful, cutting-edge AI projects that genuinely transform client businesses and advance thinkbridge's strategic growth. What is expected of you? As part of the job, you will be required to Lead end-to-end AI solution development, from ideation through deployment, in sectors such as staffing, healthcare, energy, and technology product development. Act as a trusted technical advisor to clients, clearly translating business objectives into actionable AI strategies and technical solutions. Evaluate, select, and integrate appropriate AI models (open source or proprietary) balancing performance, cost, and maintainability. Collaborate closely with cross-functional teams—engineering, product management, and client success—to deliver outcome-driven solutions. Continuously identify potential for productization of AI services and contribute strategically to thinkbridge’s product development roadmap. Ensure high engineering standards for production-readiness, scalability, maintainability, and quality. Own the lifecycle management of AI solutions, optimizing deployments by migrating from premium to cost-effective models over time. If your beliefs resonate with these, you are looking at the right place! Accountability –Finish what you started Communication–Context aware, pro-active, and clean communication Outcome –High throughput Quality –High-Quality work and consistency Ownership –Go Beyond Requirements Must have technical skills 2+ years of experience building AI-powered software applications, ideally within client-facing or product-focused roles. Strong software engineering fundamentals and fluency in Python; proficiency with REST APIs and modern cloud technologies. Proven ability to build robust, scalable AI systems from concept to production. Experience with agentic frameworks like langgraph and crew.ai is highly desirable. Experience with diverse AI models and platforms (e.g., Hugging Face, OpenAI, Azure AI, AWS AI, proprietary APIs), and deep understanding of when to apply each. Experience with varied RAG approaches and vector stores, designing evaluation systems, and a deep understanding of the tradeoffs across approaches. Creative, outcome-focused problem solver with excellent analytical and strategic decision-making skills. Ability to navigate ambiguity, prioritize effectively, and deliver meaningful business outcomes with high agency. Strong communication and interpersonal skills; able to clearly articulate technical solutions to both technical and non-technical stakeholders. Experience or interest in shaping and launching new product offerings based on AI-driven insights from client engagements Our Flagship Policies and Benefits: Work from anywhere! Flexible work hours All leaves taken are paid leaves Family Insurance Quarterly Collaboration Week

About the Role: Grade Level (for internal use): 08 The Team: The S&P Global Market Intelligence Content Customer Service Team (CCST) is committed to delivering exceptional and timely customer support across various teams, resulting in improved NPS scores. This proactive team addresses customer concerns related to data collection and curation methods, aligning with Accuracy, Timeliness, and Comprehensiveness goals. Within the Market Data domain, the team offers client support for Equity Pricing, Index, Commodities & Macroeconomics datasets. The Impact: Your role entails addressing client inquiries within Market Data datasets, comprehending their needs, and delivering optimal solutions. You will be working closely and collaborating with Level-I client support, data operations, data management, and product management to provide superior customer experience. If you possess innovative ideas and a strong inclination towards achieving top-notch customer satisfaction, we invite you to join us. Aligned with our data strategy, we are bringing our core customer query processes, traditionally sitting under individual datasets, under one roof! What’s in it for you: This position provides an opportunity to work with client support to directly influence the client experience. We seek a highly competitive and dynamic candidate who can perform under pressure and work creatively and collaboratively to achieve individual and team-specific benchmarks. If you admire a challenging environment & assignments and are determined to deliver business goals, then this role is for you. You’ll also have a chance to work on advanced analytics projects and cutting-edge Generative AI tools that are shaping the future of client engagement, operational intelligence, and support automation. Responsibilities: Decipher client questions and perform research to provide effective, well-documented solutions. Provide professional, timely, and quality support to customer queries. Deliver on expected productivity and timeliness targets. Provide quality (accurate and defect-free) responses with a "do it right the first time" mindset. Identify and flag areas that can impact business-as-usual operations. Contribute towards process improvement through root cause analysis. Help reduce client queries by drafting KB articles and identifying patterns. Take full ownership of client questions and liaise across teams for resolution. Independently manage client question workflows. Identify opportunities to enhance the client experience through data-backed insights. Recommend improvements to procedures and audits. Contribute to team training and mentorship efforts. Assist in ongoing projects and UATs with a focus on timeliness, accuracy, and execution excellence. Champion the voice of the customer and share insights and trends. Collaborate cross-functionally with product, sales, tech, and support teams. Leverage data and automation tools to drive proactive client service and process optimization. Apply Generative AI tools (e.g., ChatGPT, Azure OpenAI, Bard) to streamline responses, generate insights, or prototype support solutions. What we are looking for: Hands-on experience with Market Data datasets. Strong communication skills—both written and verbal. A client-first mindset with problem-solving ability. Familiarity with Capital IQ and/or Capital IQ Pro is a strong plus. Critical thinking, structured reasoning, and solution orientation. Strong sense of ownership and accountability. Ability to work independently and in collaboration with various teams. Attention to detail and high quality standards. Adaptability to changing priorities and tech environments. Ability to communicate technical insights in a clear, business-friendly way. Strong technical acumen and passion for using technology to solve client problems. A curiosity for innovation and eagerness to explore applications of GenAI in support workflows. Basic Qualifications: Graduate or postgraduate in Finance or an MBA. Advanced proficiency in MS Excel. Strong hands-on experience in technical skills — e.g., Power BI, SQL, Tableau, Python. Prior exposure to Generative AI technologies such as ChatGPT, Claude, Bard, or GitHub Copilot, and the ability to apply them in real-world problem solving (e.g., generating KB articles, automating responses, summarizing trends). Comfort working in a data-driven environment with ability to learn new tools quickly. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316235 Posted On: 2025-07-30 Location: Ahmedabad, Gujarat, India

LEAD DATA ANALYST Ahmedabad, India; Gurgaon, India; Hyderabad, India Data Management 316235 Job Description About The Role: Grade Level (for internal use): 08 The Team: The S&P Global Market Intelligence Content Customer Service Team (CCST) is committed to delivering exceptional and timely customer support across various teams, resulting in improved NPS scores. This proactive team addresses customer concerns related to data collection and curation methods, aligning with Accuracy, Timeliness, and Comprehensiveness goals. Within the Market Data domain, the team offers client support for Equity Pricing, Index, Commodities & Macroeconomics datasets. The Impact: Your role entails addressing client inquiries within Market Data datasets, comprehending their needs, and delivering optimal solutions. You will be working closely and collaborating with Level-I client support, data operations, data management, and product management to provide superior customer experience. If you possess innovative ideas and a strong inclination towards achieving top-notch customer satisfaction, we invite you to join us. Aligned with our data strategy, we are bringing our core customer query processes, traditionally sitting under individual datasets, under one roof! What’s In It For You: This position provides an opportunity to work with client support to directly influence the client experience. We seek a highly competitive and dynamic candidate who can perform under pressure and work creatively and collaboratively to achieve individual and team-specific benchmarks. If you admire a challenging environment & assignments and are determined to deliver business goals, then this role is for you. You’ll also have a chance to work on advanced analytics projects and cutting-edge Generative AI tools that are shaping the future of client engagement, operational intelligence, and support automation. Responsibilities: Decipher client questions and perform research to provide effective, well-documented solutions. Provide professional, timely, and quality support to customer queries. Deliver on expected productivity and timeliness targets. Provide quality (accurate and defect-free) responses with a "do it right the first time" mindset. Identify and flag areas that can impact business-as-usual operations. Contribute towards process improvement through root cause analysis. Help reduce client queries by drafting KB articles and identifying patterns. Take full ownership of client questions and liaise across teams for resolution. Independently manage client question workflows. Identify opportunities to enhance the client experience through data-backed insights. Recommend improvements to procedures and audits. Contribute to team training and mentorship efforts. Assist in ongoing projects and UATs with a focus on timeliness, accuracy, and execution excellence. Champion the voice of the customer and share insights and trends. Collaborate cross-functionally with product, sales, tech, and support teams. Leverage data and automation tools to drive proactive client service and process optimization. Apply Generative AI tools (e.g., ChatGPT, Azure OpenAI, Bard) to streamline responses, generate insights, or prototype support solutions. What We Are Looking For: Hands-on experience with Market Data datasets. Strong communication skills—both written and verbal. A client-first mindset with problem-solving ability. Familiarity with Capital IQ and/or Capital IQ Pro is a strong plus. Critical thinking, structured reasoning, and solution orientation. Strong sense of ownership and accountability. Ability to work independently and in collaboration with various teams. Attention to detail and high quality standards. Adaptability to changing priorities and tech environments. Ability to communicate technical insights in a clear, business-friendly way. Strong technical acumen and passion for using technology to solve client problems. A curiosity for innovation and eagerness to explore applications of GenAI in support workflows. Basic Qualifications: Graduate or postgraduate in Finance or an MBA. Advanced proficiency in MS Excel. Strong hands-on experience in technical skills — e.g., Power BI, SQL, Tableau, Python. Prior exposure to Generative AI technologies such as ChatGPT, Claude, Bard, or GitHub Copilot, and the ability to apply them in real-world problem solving (e.g., generating KB articles, automating responses, summarizing trends). Comfort working in a data-driven environment with ability to learn new tools quickly. What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf - 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 316235 Posted On: 2025-07-30 Location: Ahmedabad, Gujarat, India

Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster. This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains. Job Title: DevOps Engineer - AI, R&D Location: Bengaluru, Karnataka, India (hybrid) About o9 Solutions: o9 Solutions is a leading enterprise AI software platform provider for transforming planning and decision-making capabilities. We are building the next generation of AI-powered solutions to help businesses optimize their operations and drive innovation. Our Next-Gen AI R&D team is at the forefront of this mission, pushing the boundaries of what's possible with artificial intelligence. About the Role... We are looking for a highly skilled and motivated DevOps Engineer to join our Next-Gen AI R&D team. In this role, you will be instrumental in developing and implementing MLOps strategies for Generative AI models, designing and managing CI/CD pipelines for ML workflows, and ensuring the robustness, scalability, and reliability of our AI solutions in production environments. What you will do in this role: Develop and implement MLOps strategies tailored for Generative AI models to ensure robustness, scalability, and reliability. Design and manage CI/CD pipelines specialized for ML workflows, including the deployment of generative models such as GANs, VAEs, and Transformers. Monitor and optimize the performance of AI models in production, employing tools and techniques for continuous validation, retraining, and A/B testing. Collaborate with data scientists and ML researchers to understand model requirements and translate them into scalable operational frameworks. Implement best practices for version control, containerization, infrastructure automation, and orchestration using industry-standard tools (e.g., Docker, Kubernetes). Ensure compliance with data privacy regulations and company policies during model deployment and operation. Troubleshoot and resolve issues related to ML model serving, data anomalies, and infrastructure performance. Stay up-to-date with the latest developments in MLOps and Generative AI, bringing innovative solutions to enhance our AI capabilities. What you'll have.. Must Have: Minimum 3 years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing proofs of concept and prototypes. Strong background in software development, with experience in building and maintaining scalable, distributed systems. Strong programming skills in languages like Python and familiarity in ML frameworks and libraries (e.g., TensorFlow, PyTorch). Knowledge of containerization and orchestration tools like Docker and Kubernetes. Proficiency with MLOps tools such as MLflow, Kubeflow, Airflow, or similar for managing machine learning workflows and lifecycle. Practical understanding of generative AI frameworks (e.g., HuggingFace Transformers, OpenAI GPT, DALL-E). Expertise in containerization technologies like Docker and orchestration tools such as Kubernetes for scalable model deployment. Expertise in MLOps and LLMOps practices, including CI/CD for ML models. Nice to Have: Familiarity with cloud platforms (AWS, GCP, Azure) and their ML/AI service offerings. Experience with continuous integration and delivery tools such as Jenkins, GitLab CI/CD, or CircleCI. Experience with infrastructure as code tools like Terraform or CloudFormation. Experience with advanced GenAI applications such as natural language generation, image synthesis, and creative AI. Familiarity with experiment tracking and model registry tools. Knowledge of high-performance computing and parallel processing techniques. Contributions to open-source MLOps or GenAI projects. What we’ll do for you: Flat organization: With a very strong entrepreneurial culture (and no corporate politics). Great people and unlimited fun at work. Possibility to really make a difference in a scale-up environment. Support network: Work with a team you can learn from every day. Diversity: We pride ourselves on our international working environment. AI is firmly on every CEO's agenda, o9 @ Davos & Reflections: https://o9solutions.com/articles/why-ai-is-topping-the-ceo-agenda/ Work-Life Balance: https://youtu.be/IHSZeUPATBA?feature=shared Feel part of A team: https://youtu.be/QbjtgaCyhes?feature=shared How the process works... Respond with your interest to us. We’ll contact you either via video call or phone call - whatever you prefer, with the further schedule status. During the interview phase, you will meet with the technical panel for 60 minutes. We will contact you after the interview to let you know if we’d like to progress your application. There will be 2-3 rounds of technical discussion followed by a Managerial round. We will let you know if you’re the successful candidate. Good luck! Why Join o9 Solutions? At o9, you'll be at the forefront of AI innovation, working with a dynamic team that's shaping the future of enterprise solutions. We offer a stimulating and rewarding environment where your contributions directly impact cutting-edge projects. You'll gain invaluable experience with the latest AI technologies and significantly grow your skills. Join us and be a key player in building the next generation of intelligent solutions that truly transform businesses! More about us… At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations. With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value. o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!

About The Role Were looking for a Software Engineer to join our AI team, where we build, deploy, and scale end-to-end AI applications. This role is ideal for someone who has solid experience in Python-based web development and has worked hands-on with AI/ML systems, particularly Large Language Models (LLMs). Youll play a key role in turning AI ideas into customer-facing products. Key Responsibilities Design and develop production-grade AI-powered applications end-to-end from backend APIs to deployment. Work with the AI team to prototype and ship features that leverage LLMs (e.g., OpenAI, HuggingFace, LangChain). Build scalable services using Python (Django/FastAPI) and integrate them with AI/ML models. Own the deployment lifecycle from dev environment to production (Docker, cloud, monitoring). Optimize application performance and ensure reliability at scale. Collaborate closely with product and data teams to iterate quickly on product ideas. Requirements 2+ years of experience building and maintaining web applications. Strong Python skills and experience with at least one web framework (Django, Flask, FastAPI, etc.). 6+ months hands-on experience working with LLMs or ML models and deploying them to production. Familiarity with AI workflows such as prompt engineering, vector databases (e.g., FAISS, Pinecone), and retrieval-augmented generation (RAG). Experience with cloud infrastructure (AWS/GCP/Azure), Docker, and deployment pipelines. Solid understanding of REST APIs, microservices, and backend systems. A builders mindset: comfortable owning features end-to-end and wearing multiple hats. (ref:hirist.tech)

Position Description Company Profile: - At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Job Title: Data scientist Position: Software Engineer (SE) / Senior Software Engineer (SSE) Experience: 5 years to 8 Years Category: zINACTIVE - Information Technology Main location: Bangalore Position ID: J0725-0906 Employment Type: Full Time Job Description: - Data scientist: - About the role: As a Product Data Scientist at CGI, You will play a pivotal role in validating assumptions, conducting in-depth data analysis, and collaborating with cross-functional teams to generate actionable insights. Your expertise will support product development, enhance data-driven decision-making, and contribute to the design and implementation of innovative features leveraging Large Language Models (LLMs) and Agentic AI frameworks. You will be instrumental in translating complex data structures into meaningful insights, ensuring data integrity, and fostering a data-centric culture within the organization. Proficiency in SQL for data querying. Familiarity with Python and R for data analysis and machine learning. Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of LLM frameworks (e.g., OpenAI, Hugging Face) is a plus. Strong analytical skills to interpret complex datasets. Excellent communication skills for collaboration and presentation. Your future duties and responsibilities Required Qualifications To Be Successful In This Role Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our teamone of the largest IT and business consulting services firms in the world. Show more Show less

Position Description Company Profile: - At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Job Title: Data scientist Position: Software Engineer (SE) / Senior Software Engineer (SSE) Experience: 5 years to 8 Years Category: zINACTIVE - Information Technology Main location: Bangalore Position ID: J0725-0907 Employment Type: Full Time Job Description: - Data scientist: - About the role: As a Product Data Scientist at CGI, You will play a pivotal role in validating assumptions, conducting in-depth data analysis, and collaborating with cross-functional teams to generate actionable insights. Your expertise will support product development, enhance data-driven decision-making, and contribute to the design and implementation of innovative features leveraging Large Language Models (LLMs) and Agentic AI frameworks. You will be instrumental in translating complex data structures into meaningful insights, ensuring data integrity, and fostering a data-centric culture within the organization. Proficiency in SQL for data querying. Familiarity with Python and R for data analysis and machine learning. Experience with data visualization tools (e.g., Tableau, Power BI). Knowledge of LLM frameworks (e.g., OpenAI, Hugging Face) is a plus. Strong analytical skills to interpret complex datasets. Excellent communication skills for collaboration and presentation. Your future duties and responsibilities Required Qualifications To Be Successful In This Role Together, as owners, lets turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, youll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction. Your work creates value. Youll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. Youll shape your career by joining a company built to grow and last. Youll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our teamone of the largest IT and business consulting services firms in the world. Show more Show less

About Us QuillBot is an AI-powered writing platform on a mission to reimagine writing. QuillBot provides over 50 million monthly active uses students, professionals, and educators with free online writing and research tools to help them become more effective, productive, and confident. The QuillBot team was built on the idea that learning how to write and use that knowledge is empowering. They want to automate the more time-consuming parts of writing so that users can focus on their craft. Whether you're writing essays, social media posts, or emails, QuillBot has your back. It has an array of productivity-enhancing tools that are already changing the way the world writes. In the recent chain of events, we were also acquired by CourseHero, which is a 15-year-old Ed-Tech unicorn based out of California, now known as Learneo. Overview QuillBot is looking for a hands-on MLOps Manager to lead and scale our AI Engineering & MLOps function. This role blends deep technical execution (60%) with team and cross-functional collaboration (40%), and is ideal for someone who thrives in a dual IC + strategic lead position. You'll work closely with Research, Platform, Infra, and Product teams — not only to deploy models reliably, but also to accelerate experimentation, training, and iteration cycles. From infra support for large-scale model training to scaling low-latency inference systems in production, you'll be at the heart of how AI ships at QuillBot. Responsibilities Own the full ML lifecycle: from training infra and experiment tracking to deployment, observability, and optimization. Work closely with researchers to remove friction in training, evaluation, and finetuning workflows. Guide and mentor a small, mature team of engineers (3–4), while still contributing as an individual contributor. Drive performance optimization (latency, throughput, cost efficiency), model packaging, and runtime reliability. Build robust systems for CI/CD, versioning, rollback, A/B testing, monitoring, and alerting. Ensure scalable, secure, and compliant AI infrastructure across training and inference environments. Collaborate with cloud and AI providers (e.g., AWS, GCP, OpenAI) as needed to integrate tooling, optimize costs, and unlock platform capabilities. Contribute to other GenAI and cross-functional AI initiatives as needed, beyond core MLOps responsibilities. Contribute to architectural decisions, roadmap planning, and documentation of our AI engineering stack. Champion automation, DevOps/MLOps best practices, and technical excellence across the ML lifecycle. Qualifications 5+ years of strong experience in MLOps, ML/AI Engineering. Solid understanding of ML/DL fundamentals and applied experience in model deployment and training infra. Proficient with cloud-native ML tooling (e.g., GCP, Vertex AI, Kubernetes). Comfortable working on both training-side infra and inference-side systems. Good to have experience with model optimization techniques (e.g., quantization, distillation, FasterTransformer, TensorRT-LLM). Proven ability to lead complex technical projects end-to-end with minimal oversight. Strong collaboration and communication skills — able to work cross-functionally and drive technical clarity. Ownership mindset — comfortable making decisions and guiding others in ambiguous problem spaces." Benefits & Perks Competitive salary, stock options & annual bonus Medical coverage Life and accidental insurance Vacation & leaves of absence (menstrual, flexible, special, and more!) Developmental opportunities through education & developmental reimbursements & professional workshops Maternity & parental leave Hybrid & remote model with flexible working hours On-site & remote company events throughout the year Tech & WFH stipends & new hire allowances Employee referral program Premium access to QuillBot Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in India. We are a virtual-first company and have employees dispersed throughout the United States, Canada, India and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation. #QuillBot Equal Employment Opportunity Statement (EEO) We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.

About Us QuillBot is an AI-powered writing platform on a mission to reimagine writing. QuillBot provides over 50 million monthly active uses students, professionals, and educators with free online writing and research tools to help them become more effective, productive, and confident. The QuillBot team was built on the idea that learning how to write and use that knowledge is empowering. They want to automate the more time-consuming parts of writing so that users can focus on their craft. Whether you're writing essays, social media posts, or emails, QuillBot has your back. It has an array of productivity-enhancing tools that are already changing the way the world writes. In the recent chain of events, we were also acquired by CourseHero, which is a 15-year-old Ed-Tech unicorn based out of California, now known as Learneo. Overview QuillBot is looking for a hands-on MLOps Manager to lead and scale our AI Engineering & MLOps function. This role blends deep technical execution (60%) with team and cross-functional collaboration (40%), and is ideal for someone who thrives in a dual IC + strategic lead position. You'll work closely with Research, Platform, Infra, and Product teams — not only to deploy models reliably, but also to accelerate experimentation, training, and iteration cycles. From infra support for large-scale model training to scaling low-latency inference systems in production, you'll be at the heart of how AI ships at QuillBot. Responsibilities Own the full ML lifecycle: from training infra and experiment tracking to deployment, observability, and optimization. Work closely with researchers to remove friction in training, evaluation, and finetuning workflows. Guide and mentor a small, mature team of engineers (3–4), while still contributing as an individual contributor. Drive performance optimization (latency, throughput, cost efficiency), model packaging, and runtime reliability. Build robust systems for CI/CD, versioning, rollback, A/B testing, monitoring, and alerting. Ensure scalable, secure, and compliant AI infrastructure across training and inference environments. Collaborate with cloud and AI providers (e.g., AWS, GCP, OpenAI) as needed to integrate tooling, optimize costs, and unlock platform capabilities. Contribute to other GenAI and cross-functional AI initiatives as needed, beyond core MLOps responsibilities. Contribute to architectural decisions, roadmap planning, and documentation of our AI engineering stack. Champion automation, DevOps/MLOps best practices, and technical excellence across the ML lifecycle. Qualifications 5+ years of strong experience in MLOps, ML/AI Engineering. Solid understanding of ML/DL fundamentals and applied experience in model deployment and training infra. Proficient with cloud-native ML tooling (e.g., GCP, Vertex AI, Kubernetes). Comfortable working on both training-side infra and inference-side systems. Good to have experience with model optimization techniques (e.g., quantization, distillation, FasterTransformer, TensorRT-LLM). Proven ability to lead complex technical projects end-to-end with minimal oversight. Strong collaboration and communication skills — able to work cross-functionally and drive technical clarity. Ownership mindset — comfortable making decisions and guiding others in ambiguous problem spaces." Benefits & Perks Competitive salary, stock options & annual bonus Medical coverage Life and accidental insurance Vacation & leaves of absence (menstrual, flexible, special, and more!) Developmental opportunities through education & developmental reimbursements & professional workshops Maternity & parental leave Hybrid & remote model with flexible working hours On-site & remote company events throughout the year Tech & WFH stipends & new hire allowances Employee referral program Premium access to QuillBot Benefits and benefit amounts differ by region. A comprehensive list applicable to your region will be provided in your interview process. Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience! This role is eligible for hire in India. We are a virtual-first company and have employees dispersed throughout the United States, Canada, India and the Netherlands. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed. You may also be eligible to participate in our bonus program and may be offered benefits, and other types of compensation. #Learneo Equal Employment Opportunity Statement (EEO) We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation. About Learneo Learneo is a platform of builder-driven businesses, including Course Hero, CliffsNotes, LitCharts, Quillbot, Symbolab, and Scribbr, all united around a shared mission of supercharging productivity and learning for everyone. We attract and scale high growth businesses built and run by visionary entrepreneurs. Each team innovates independently but has a unique opportunity to collaborate, experiment, and grow together, and they are supported by centralized corporate operations functions, including HR, Finance and Legal.

Company Description We make digital 𝐡𝐮𝐦𝐚𝐧™ by combining human-centered design with real-time Analytics, AI, Cognitive Technology & Automation to create exceptionally engineered Brand Experiences! Sutherland is an experience-led digital transformation company. Our mission is to deliver exceptionally engineered experiences for customers and employees today, that continue to delight tomorrow. For over 35 years, we have cared for our customers’ customers, delivering measurable results and accelerating growth. Our proprietary, AI-based products and platforms are built using robust IP and automation. We are a team of global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland. #MakeDigitalHuman. https://www.sutherlandglobal.com/ https://www.linkedin.com/posts/sutherland-global_sutherland-india-is-certified-as-a-great-activity-6914801835199385600-wvHQ?utm_source=linkedin_share&utm_medium=member_desktop_web Job Description Sutherland is seeking an attentive and analytical person to join us as an AI Architect to be responsible for overseeing the quality of calls and customer service delivery. We are a group of dynamic and driven individuals. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you! Responsibilities : Keep management updated: Relay vital information in the form of timely and accurate reports Impact the bottom line: Produce solid and effective strategies based on accurate and meaningful data reports and analysis and/or keen observations Define Sutherland’s reputation: Oversee and manage performance and service quality to guarantee customer satisfaction; provide coaching and feedback to CSRs Strengthen relationships: Establish and maintain communication with clients and/or team members; understand needs, resolve issues, and meet expectations Take the lead: Monitor calls/chats/e-mails as per defined sample plan and targets; report out any ZT cases and take necessary action; perform RCA and take corrective actions for defects identified during monitoring; drive quality awareness and improvement initiatives across program Qualifications To succeed in this position, you must: Qualifications & Experience: Bachelor's or master’s degree in computer science, Engineering or a related field. Extensive experience in AI implementation incorporating generative models and agentic AI workflows. Solid understanding of machine learning techniques and algorithms. Strong knowledge of data structures, algorithms, and software design principles. Healthcare domain experience is preferred. Key Skills: Excellent problem-solving skills and attention to detail. Effective communication and collaboration abilities. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities. Other Considerations: Location: Lanco, Hyderabad Timings: 11:30 AM to 8:30 PM IST Work Mode: Work from Office/Hybrid Notice Period: Immediate Joiner Additional Information Roles & Responsibilities – AI Architect/Manager Lead the architecture, development, deployment and implementation of AI systems incorporating generative models and agentic AI workflows, utilizing at least one cloud platform (Azure or GCP). Build and optimize GenAI applications, including chatbots, copilots and AI agents using Python. Collaborate with product teams to integrate AI solutions into platforms and customer-facing applications. Evaluate and select models (e.g. OpenAI, Gemini, LLaMA etc.) and orchestration tools (e.g., LangChain, AutoGen) best suited to solution needs. Demonstrate proficiency in vector databases (e.g., FAISS, Pinecone etc.) and the design of RAG (Retrieval-Augmented Generation) pipelines. Stay abreast of advancements in GenAI, multi-agent systems, vector search technologies and large-scale retrieval-augmented architectures. Define and uphold best practices for AI governance, cost optimization and robust performance monitoring. Conduct ongoing performance tuning, debugging and root-cause analysis to ensure reliability of AI models and applications. Design and maintain comprehensive monitoring and logging systems for AI-powered solutions. Collaborate with cross-functional teams — including data scientists, ML engineers and software developers — to seamlessly integrate AI across the product landscape. Document technical specifications, system workflows and development best practices.

Job Description JB-4: Senior Lead Engineer Our Purpose: At Majesco, we believe in connecting people and business to Insurance in ways that are Innovative, Hyper-Relevant, Compelling and Personal. We bring together the brightest minds to build the future of Insurance; a world where Insurance makes life and business easier, more connected, and better protected. We are seeking a Senior Lead Engineer to deliver platform-scale automation across insurance domains by integrating advanced AI tools, orchestrated workflows, and modular service components. This role sits at the intersection of cloud-native backend engineering, AI-driven experiences, and cross-functional automation. All About the Role: Lead the development and scaling of document ingestion pipelines, classifier engines, and API gateways supporting intelligent P&C workflows. Build modular backend services using FastAPI, Django, or Flask, leveraging asynchronous design, microservices, and cloud-native scalability. Design and deploy event-driven automation using Azure Logic Apps, Functions, and Service Bus across claims, billing, and policy processes. Containerize services using Docker, deploy and scale on Kubernetes, and ensure high availability through best practices. Integrate platform services with Microsoft Copilot Studio and Power Automate, enabling reusable actions, conversational agents, and business rule orchestration. Establish telemetry, traceability, and structured logging standards across APIs and workflows using Azure Monitor, App Insights, and OpenTelemetry. Drive performance profiling and system optimization initiatives across ingestion, classification, and agent orchestration layers. Explore and integrate AI capabilities such as voice embeddings, vector search, and immersive UI elements into the platform. Participate actively in PI planning, backlog grooming, and agile ceremonies across engineering and product teams. Mentor junior developers and lead sprint-level technical delivery with a focus on modularity, scalability, and AI-readiness. What You’ll Bring: Passion for staying ahead of AI developments and a builder mindset to turn AI capabilities into practical applications. Demonstrated ability to design systems with observability, orchestration, and automation at the core. A strong performance-first philosophy — ability to analyze, profile, and optimize services at scale. Vision for integrating AI into core insurance workflows, from agent recommendations to customer-facing explainability. Willing to work across time zones and with remote teams. All About You: 9+ years of experience in backend platform development and cloud-native architecture. Strong knowledge of FastAPI, Django, or Flask and event-driven microservice design. Minimum 5 years of experience on frontend framework - HTML5, React JS, Node JS, JavaScript, Angular Exposure to cloud applications including DevOps/DevSecOps, Scaling, Deployment and Automation; Cloud Exposure - MS Azure/AWS, OpenShift, Docker, Kubernetes, Jenkins, GitHub, Jira Hands-on experience with Azure Cloud Services including Logic Apps, Functions, Cosmos DB, Blob Storage, and Service Bus. Proficient with Docker and Kubernetes for containerized deployment and service scaling. Experience building intelligent orchestration workflows using Power Automate and Copilot Studio. Working knowledge of vector databases, embedding APIs, and LLM integration workflows (OpenAI/Azure OpenAI). Exposure to AI-enhanced UIs — such as embedded assistants, predictive agents, or conversational UI. Proficient in system performance optimization, error tracing, logging frameworks, and monitoring pipelines. Experience working in agile teams with PI planning, story-pointing, sprint demos, and cross-functional delivery. P&C insurance domain familiarity is preferred but not mandatory. Other Qualifications: Bachelor’s degree in computer science or engineering; master’s degree a plus Experience with SAFe Agile Development practices and processes. SAFe Practitioner certification preferred. Experience with the Majesco Platforms/Products is a plus Preferred Experience in developing packaged software (Products) preferably in the banking or financial services areas.

Role Summary We’re hiring two Full Stack Developers with strong AI/ML integration skills. One will reinforce the AI tech pod, helping operationalize ML pipelines and LLMs. Key Responsibilities Build full stack systems that integrate with ML pipelines, APIs, and data layers Collaborate with AI team on model deployment and UX for ML-backed products Implement scalable backend systems and modern, reactive frontend components Requirements 3–6 years of full stack experience; one role can be mid-level, the other senior Deep experience in LLM applications (OpenAI API, RAG systems, LangChain) Experience with modern stacks: TypeScript, React, Python/FastAPI, Postgres Strong DevOps familiarity: Docker, cloud infra, monitoring, CI/CD pipelines

Looking for a rockstar fullstack dev for US startup: * Typescript, React & Nextjs frontend. Python, Nodejs backend - postgres & elasticsearch db, * Design APIs, microservices, Azure Devops * AI RAG apps with OpenAI, data engineering, ETL workflows

Sprinto is a leading platform that automates information security compliance. By raising the bar on information security, Sprinto ensures compliance, healthy operational practices, and the ability for businesses to grow and scale with unwavering confidence. We are a team of 300+ employees & helping 2500+ Customers across 75+ Countries . We are funded by top investment partners Accel, ELEVATION & Blume Ventures and have raised 32 Million USD in funding, including our latest Series B round. We’re seeking a hands-on Marketing Automation Engineer to lead the integration and automation of our GTM tech stack. You’ll work at the intersection of marketing, operations, and AI connecting tools like HubSpot, OpenAI, Pabbly, Zapier, and n8n to build scalable workflows that reduce manual effort and accelerate conversions. This role is ideal for someone who thrives in fast-paced environments, enjoys solving technical problems with low-code and API-based solutions, and is excited about using automation and AI to supercharge marketing operations. What You’ll Build & Automate Integrate and automate tools across the GTM stack (e.g., HubSpot Zapier OpenAI Sheets n8n/Pabbly). Build scalable workflows for lead capture, enrichment, scoring, routing, and follow-ups Collaborate with marketing and sales teams to identify process gaps and deploy automation-based fixes Set up smart triggers using APIs, webhooks, or no-code platforms for personalized and timely engagement Use OpenAI or LLMs to summarize lead data, write follow-up content, and generate insights Monitor workflow performance and debug automation issues across the funnel Maintain documentation and versioning for all critical integrations What You Bring to the Table: 2–5 years of experience in marketing operations, GTM engineering, or automation-focused roles Strong hands-on experience with Zapier, Pabbly, n8n, or other low-code automation tools Good understanding of HubSpot CRM Experience using OpenAI APIs (e.g., GPT-4) to automate or enhance marketing processes Ability to work with APIs, webhooks, and JSON for custom integrations Familiarity with basic JavaScript, Python, or Node.js is a plus Exposure to B2B marketing/sales funnels, lead routing, and lifecycle management Good to Have: Experience working with LLM frameworks such as LangChain or RAG pipelines to create smart content or lead engagement workflows Exposure to fine-tuning or prompt engineering for tools like OpenAI or similar APIs Exposure to no-code or low-code AI platforms (e.g., Agentic AI, Lovable) to prototype, deploy, and orchestrate AI workflows with minimal coding effort Why You'll Love Working Here: You’ll help build the modern GTM engine from the ground up Opportunity to work with cutting-edge tools at the intersection of automation, AI, and marketing Freedom to experiment, test, and implement solutions directly impacting growth and efficiency Benefits Remote First Policy 5 Days Working With FLEXI Hours Group Medical Insurance (Parents, Spouse, Children) Group Accident Cover Company-Sponsored Device Education Reimbursement Policy ATS_SPRINTO

The Data Scientist is crucial in leveraging data to derive meaningful insights and solutions for complex business problems. This individual will lead and guide the data science team in developing advanced analytical models, algorithms, and statistical analyses. They will collaborate with cross-functional teams to identify opportunities for leveraging data-driven solutions, making strategic decisions, and enhancing overall business performance. The Data Scientist will be responsible for designing and implementing machine learning models, conducting data exploration, and communicating findings to non-technical stakeholders. Primary Responsibilities Collaborate with business stakeholders to understand and translate their goals into AI and data science initiatives. Lead the development and implementation of LLM-based workflows and AI agents to drive automation, personalization, and intelligent decision-making. Develop strategies to optimize budget allocation and campaign performance using AI-driven approaches in scenarios with high cardinality and uncertainty. Conduct exploratory data analysis to uncover trends and insights from large, complex data sets. Identify, evaluate, and deploy use case-specific LLMs (e. g., OpenAI, Gemini, Claude) for summarization, retrieval, semantic search, tool use, and classification. Design and implement retrieval-augmented generation (RAG) pipelines and memory-augmented AI agents. Implement Groq or similar platforms for high-performance, low-latency inference and scalable AI deployment. Communicate complex analytical and AI-driven findings in a clear, actionable manner to non-technical stakeholders. Stay abreast of the latest advancements in AI, LLMs, and agentic systems. Build AI-powered proof of concepts (PoCs) leveraging foundation models, vector databases, and orchestration frameworks. Use SQL for data exploration, feature engineering, and prompt conditioning. Required Skills Qualification in a quantitative field such as Computer Science, Artificial Intelligence, Statistics, Physics, or Mathematics. Excellent problem-solving skills and strategic thinking with a strong AI product mindset. Strong coding skills, particularly in Python. 4-6 years of relevant work experience in Data Science, with significant hands-on experience in LLM-based application development. Solid foundation in statistical analysis, experimentation, and hypothesis testing. Proficiency in Python and SQL. Preferred experience on the GCP platform. Proven experience with LLMs, including prompt engineering, fine-tuning, RAG, and evaluation. Experience identifying and scaling LLM-based use cases across business functions. Familiar with building AI agents using LangChain, LangGraph, and agentic orchestration frameworks. Experience with Groq or similar platforms for high-speed inference of LLMs. Experience with LangSmith (LLMOps) for debugging and monitoring LLM workflows. Hands-on experience with fine-tuning LLMs for domain-specific applications. Practical experience in classical machine learning techniques and working with large-scale datasets. Plus points for experience in AdTech or Meta Ads. Effective communication skills with the ability to convey technical concepts to non-technical audiences. This job was posted by Shajy Theyyamveettil from Affle.

We're looking for a self-starting, AI-native full-stack software engineer to join our mission-driven team. This role is designed for someone early in their career, but ready to deliver production-grade software with independence and velocity. You'll work with modern frameworks like Next.js, Node.js, Python, and SQL, shipping end-to-end features while leveraging AI tools to operate at 10x capacity. You'll be responsible for owning features from concept to deploymentwriting scalable, secure, and clean code, integrating models and APIs, and shipping to production environments confidently. You must be comfortable working autonomously, yet collaboratively, in a fast-paced environment that demands high output and low ego. Responsibilities Build and ship full-stack web applications using Next.js, Node.js, and Python. Rapidly iterate using AI tools (ChatGPT, Copilot, etc. ) for coding, debugging, and documentation. Design, query, and optimize SQL databases for performance and integrity. Contribute to architecture discussions, system design, and engineering culture. Own the uptime, testing, and performance of the features you ship. Operate effectively in Linux-based environments and DevOps-style workflows. Collaborate cross-functionally with PMs, designers, and business stakeholders. Write meaningful tests and ensure high code coverage through automation. Requirements Experience: 0-3 years. Bachelor's degree in Computer Science or equivalent from a top-tier engineering college. Strong grasp of JavaScript (Next.js + Node.js ), Python, SQL, and Linux. Familiarity with Tailwind CSS, Git workflows, and writing maintainable code. Strong debugging and problem-solving skills across the stack. Prior experience using AI tools for real-world dev workflows. Preferred Experience Demonstrated ability to independently ship features or side projects. Knowledge of caching, RESTful APIs, deployment pipelines, or containerization. Exposure to OpenAI, Claude Code, or other LLM-based tools. This job was posted by Soumya P from Transformative Learning Solutions.

We are seeking a Data Scientist with a strong background in enterprise-scale machine learning, deep expertise in LLMs and Generative AI, and a clear understanding of the evolving Agentic AI ecosystemThe ideal candidate has hands-on experience developing predictive models, recommendation systems, and LLM-powered solutions, and is passionate about leveraging cutting-edge AI to solve complex enterprise challenges. This role will involve working closely with product, engineering, and business teams to design, build, and deploy impactful AI solutions that are both technically robust and business-aligned. The Core Responsibilities For The Job Include The Following ML and Predictive Systems Development: Design, develop, and deploy enterprise-grade machine learning models for recommendations, predictions, and personalization use cases. Work on problems such as churn prediction, intelligent routing, anomaly detection, and behavior modeling. Leverage techniques in supervised, unsupervised, and reinforcement learning as needed based on business context. LLMs And Generative AI Build and fine-tune LLM-based solutions (e. g., GPT, LLaMA, Claude, or open-source models) for tasks such as summarization, semantic search, document understanding, and copilots. Deliver production-ready GenAI projects, applying techniques like RAG (Retrieval-Augmented Generation), prompt engineering, fine-tuning, and vector search (e. g., FAISS, Pinecone, Weaviate). Collaborate with engineering to embed LLM workflows into enterprise applications, ensuring scalability and performance. Agentic AI And Ecosystem Engagement Contribute thought leadership and experimentation around Agentic AI architectures, task orchestration, memory management, tool integration, and decision autonomy. Stay ahead of trends in the open-source and commercial LLM/AI space, including LangChain, AutoGen, DSPy, and ADK-based systems. Develop internal PoCs or evaluate frameworks to assess viability for enterprise use. Collaboration And Delivery Work with cross-functional teams to identify AI opportunities and define technical roadmaps. Translate business needs into data science problems, define success metrics, and communicate results to stakeholders. Ensure model governance, monitoring, and explainability for AI systems in production. Requirements Master's or PhD in Computer Science, Data Science, Statistics, or related field. 5-8 years of experience in data science and ML, with strong enterprise project delivery experience. Proven success in building and deploying ML models and recommendation systems at scale. 2+ projects delivered involving LLMs and Generative AI, with hands-on experience in one or more of: OpenAI, Hugging Face Transformers, LangChain, Vector DBs, or model fine-tuning. Advanced Python programming skills and experience with ML libraries (e. g., Scikit-learn, XGBoost, PyTorch, TensorFlow). Experience with cloud-based ML/AI platforms (e. g., Vertex AI, AWS SageMaker, Azure ML). Strong understanding of system architecture, APIs, data pipelines, and model integration patterns. Preferred Qualifications Experience with Agentic AI frameworks and orchestration systems (LangChain, AutoGen, ADK, CrewAI). Familiarity with prompt optimization, tool chaining, task planning, and autonomous agents. Working knowledge of MLOps best practices, including model versioning, CI/CD for ML, and model monitoring. Strong communication skills and ability to advocate for AI-driven solutions across technical and non-technical teams. Regular follower of AI research, open-source trends, and GenAI product developments. This job was posted by Akshay Kumar Arumulla from Softility.

Responsibilities Web Development: Design, develop, and maintain scalable RESTful APIs using Django, Flask, or FastAPI. Build and deploy modern web applications that are performant, modular, and secure. Implement API authentication and authorization using OAuth2 JWT, or session-based approaches. Work with frontend teams to integrate APIs and ensure smooth end-to-end flows. Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker. GenAI Application Development Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows. Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows. Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector, etc. Database And Backend Integration Work with relational databases like PostgreSQL and MySQL. Write efficient and scalable queries for large-scale datasets. Experience with AWS/GCP/Azure is a plus. Requirements Minimum of 3 years of experience in application development using Python/Django. Proficient in developing and consuming RESTful API. Experience with LangGraph, LangChain, and GenAI tools/workflows. Experience with LLMs (OpenAI GPT-4 4 Claude, Llama, etc. ) Good understanding of software design principles, code modularity, and version control (Git). This job was posted by Neetu Misri from Finoit.

Role : Data Scientist Experience : 5 years to 8 years Location : Hyderabad, Pune, Bangalore Job Description: Mandatory Skills :Machine Learning, Python Programming Tools Python Pandas NumPy Matplotlib Seaborn Scikit learn SQL complex queries joins CTEs window functions Git Data Analysis Visualization Exploratory Data Analysis EDA trend and correlation analysis hypothesis testing dashboards Power BI Tableau storytelling with data Databases Data Handling SQL Server MySQL basic knowledge of Spark BigQuery Hive is a plus Statistics ML Foundational Descriptive and inferential statistics regression classification clustering KMeans model evaluation metrics accuracy precision recall AUC over fitting under fitting cross validation LLMAI Exposure Familiarity with prompt engineering OpenAI APIs basic usage of GPT models for data text automation awareness of LLM limitations and applications in analytics Soft Skills Strong problem solving ability attention to detail stakeholder communication ability to translate business problems into data solutions Experience Highlights Conducted in depth data analysis to uncover trends patterns and anomalies that informed strategic decisions across product marketing and operations teams Designed and implemented scalable data pipelines and automated data workflows using Python and SQL Developed and maintained analytical models and dashboards to track key business metrics and performance indicators Applied statistical methods and machine learning techniques to solve real world business problems such as forecasting segmentation and performance optimization Collaborated with stakeholders to gather requirements translate business questions into analytical approaches and communicate findings with clarity Explored the use of LLMs eg OpenAI GPT for enhancing internal workflows and accelerating data driven tasks such as querying summarization and content generation

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Job Description As a Staff Machine Learning Engineer , you will drive AI programs, lead engagements, and independently develop innovative solutions that enhance decision-making, automate workflows, and create growth. You will own the end-to-end development of AI-powered applications, from solution design to deployment, leveraging pre-trained machine learning and generative AI models. You will work closely with cross-functional teams, proactively identifying opportunities to integrate AI capabilities into Experian's products and services while optimizing performance and scalability. Qualifications Experinece working in cloud environment with one of Databricks, Azure or AWS 8+ years experience building data-drive products and solutions Experience leading AI engagements Strong experience with AI APIs (OpenAI, Hugging Face, Google Vertex AI, AWS Bedrock) and fine-tuning models for production use. Deep understanding of machine learning, natural language processing (NLP), and generative AI evaluation techniques.Key Responsibilities Assist in Developing and Deploying Machine Learning Models: Support the development and deployment of machine learning models, including data preprocessing and performance evaluation in Python using sklearn, numpy and other standard libraries. Build and Maintain ML Pipelines: Help build and maintain scalable ML pipelines, and assist in automating model training workflows in Python using MLFlow, Databricks, Sagemaker or equivalent. Collaborate with Cross-Functional Teams: Work with product and data teams to align ML solutions with business needs and objectives. Write Clean and Documented Code: Write clean, well-documented code, following best practices for testing and version control. Use Sphinx and other auto documentation solutions to automate document generation. Support Model Monitoring and Debugging: Assist in monitoring and debugging models to improve their reliability and performance. Participate in Technical Discussions and Knowledge Sharing: Engage in technical discussions, code reviews, and knowledge-sharing sessions to learn and grow within the team. Day-to-Day ActivitiesOn a daily basis, you will work closely with senior ML engineers and data scientists to support various stages of the machine learning lifecycle. Your day-to-day activities will include: Data Preprocessing: Cleaning and preparing data for model training, ensuring data quality and consistency. Model Training: Assisting in the training of machine learning models, experimenting with different algorithms and hyperparameters. Performance Evaluation: Evaluating model performance using appropriate metrics and techniques, and identifying areas for improvement. Pipeline Maintenance: Building and maintaining ML pipelines, ensuring they are scalable and efficient. Code Development: Writing and maintaining clean, well-documented code, following best practices for testing and version control. Model Monitoring: Monitoring deployed models to ensure they are performing as expected, and assisting in debugging any issues that arise. Collaboration: Participating in team meetings, sprint planning, and daily stand-ups to stay aligned with project goals and timelines. Additional Information Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Benefits Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

Location: Remote Employment Type: Full-time About the Role We are looking for a Senior Machine Learning Engineer to lead the development and deployment of AI/ML models for our platforms. In this role, you will drive technical strategy and you will be responsible for designing and deploying intelligent systems ,mentor junior engineers, and collaborate with cross-functional teams to deliver scalable, production-grade ML solutions. Key Responsibilities Independently design, build, and deploy machine learning models for core use cases. Drive the end-to-end lifecycle of ML projects—from scoping and architecture to implementation, deployment, and performance tuning. Maintain a hands-on approach in all aspects of development—from data preprocessing and feature engineering to model training, evaluation, and optimization. Lead technical reviews, provide constructive feedback, and help grow the team’s skill sets through coaching and knowledge sharing. Provide technical leadership and mentorship to junior engineers and data scientists, fostering a collaborative and high-performing team culture. Drive ML initiatives from ideation through production, ensuring scalability, performance, and maintainability. Collaborate with cross-functional teams including product, engineering, and operations to integrate intelligent solutions into user-facing products. Establish and promote ML best practices, including reproducibility, version control, testing,MLOps, and data governance. Oversee and guide the creation of scalable and maintainable ML pipelines and infrastructures. Stay ahead of industry trends and guide the adoption of new tools and techniques where relevant. Evaluate and integrate cutting-edge tools, frameworks, and techniques in NLP, deep learning, and computer vision. Own the quality, fairness, and compliance of ML systems, especially in sensitive use cases like content filtering and moderation. Design and implement machine learning models for automated content moderation , including toxicity, hate speech, spam, and NSFW detection. Build and optimize personalized recommendation systems using collaborative filtering, content-based, and hybrid approaches. Develop and maintain embedding-based similarity search for recommending relevant content based on user behavior and content metadata. Fine-tune and apply LLMs for moderation and summarization , leveraging prompt engineering or adapter-based methods. Deploy real-time inference pipelines for immediate content filtering and user-personalized suggestions. Ensure content moderation models are explainable , auditable , and bias-mitigated to align with ethical AI practices. Hands-on experience in content recommendation systems (e.g., collaborative filtering, ranking models, embeddings). Experience with content moderation frameworks , such as Perspective API, OpenAI moderation endpoints, or custom NLP classifiers. Strong knowledge of transformer-based models for NLP , including experience with Hugging Face, BERT, RoBERTa, etc. Practical experience with LLMs (GPT, Claude, Mistral) and tools for LLM fine-tuning or prompt engineering for moderation tasks. Familiarity with vector databases (e.g., FAISS, Pinecone) for similarity search in recommendation systems. Deep understanding of model fairness, debiasing techniques , and AI safety in content moderation . Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field. 5+ years of hands-on experience in machine learning, NLP, or deep learning, with a track record of leading projects. Expertise in Python and machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, etc. Strong background in recommendation systems, content moderation, or ranking algorithms. Experience with cloud platforms (AWS/GCP/Azure), distributed computing (Spark), and MLOps tools. Proven ability to lead complex ML projects and teams, delivering business value through intelligent systems. Excellent communication skills, with the ability to explain complex ML concepts to stakeholders. Experience with LLMs (GPT, Claude, Mistral) and fine-tuning for domain-specific tasks. Knowledge of reinforcement learning, graph ML, or multimodal systems. Previous experience building AI systems for content moderation, personalization, or recommendation in a high-scale platform. Strong awareness of ethical AI principles, fairness, bias mitigation, and responsible data usage. Contributions to open-source ML projects or published research.