Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud Imagine working at a company where you get the best of all worlds: the fast-paced execution of a startup and the guidance of leaders who’ve built things that actually work at scale. We’re not just rethinking how procurement analytics is done — we’re redefining them. At Sensecloud, we envision a future where Procurement data management and analytics is as intuitive as your favorite app. No more complex spreadsheets, no more waiting in line to get IT and analytics teams’ attention, no more clunky dashboards —just real-time insights, smooth automation, and a frictionless experience that helps companies make fast decisions. If you’re ready to help us build the future of procurement analytics, come join the ride. You'll work alongside the brightest minds in the industry, learn cutting-edge technologies, and be empowered to take on challenges that will stretch your skills and your thinking. If you’re ready to help us build the future of procurement, analytics come join the ride. About The Role We’re looking for an AI Engineer who can design, implement, and productionize LLM-powered agents that solve real-world enterprise problems—think automated research assistants, data-driven copilots, and workflow optimizers. You’ll own projects end-to-end: scoping, prototyping, evaluating, and deploying scalable agent pipelines that integrate seamlessly with our customers’ ecosystems. What you'll do: Architect & build multi-agent systems using frameworks such as LangChain, LangGraph, AutoGen, Google ADK, Palantir Foundry, or custom orchestration layers. Fine-tune and prompt-engineer LLMs (OpenAI, Anthropic, open-source) for retrieval-augmented generation (RAG), reasoning, and tool use. Integrate agents with enterprise data sources (APIs, SQL/NoSQL DBs, vector stores like Pinecone, Elasticsearch) and downstream applications (Snowflake, ServiceNow, custom APIs). Own the MLOps lifecycle: containerize (Docker), automate CI/CD, monitor drift & hallucinations, set up guardrails, observability, and rollback strategies. Collaborate cross-functionally with product, UX, and customer teams to translate requirements into robust agent capabilities and user-facing features. Benchmark & iterate on latency, cost, and accuracy; design experiments, run A/B tests, and present findings to stakeholders. Stay current with the rapidly evolving GenAI landscape and champion best practices in ethical AI, data privacy, and security. Must-Have Technical Skills 3–5 years software engineering or ML experience in production environments. Strong Python skills (async I/O, typing, testing) plus familiarity with TypeScript/Node or Go a bonus. Hands-on with at least one LLM/agent frameworks and platforms (LangChain, LangGraph, Google ADK, LlamaIndex, Emma, etc.). Solid grasp of vector databases (Pinecone, Weaviate, FAISS) and embedding models. Experience building and securing REST/GraphQL APIs and microservices. Cloud skills on AWS, Azure, or GCP (serverless, IAM, networking, cost optimization). Proficient with Git, Docker, CI/CD (GitHub Actions, GitLab CI, or similar). Knowledge of ML Ops tooling (Kubeflow, MLflow, SageMaker, Vertex AI) or equivalent custom pipelines. Core Soft Skills Product mindset: translate ambiguous requirements into clear deliverables and user value. Communication: explain complex AI concepts to both engineers and executives; write crisp documentation. Collaboration & ownership: thrive in cross-disciplinary teams, proactively unblock yourself and others. Bias for action: experiment quickly, measure, iterate—without sacrificing quality or security. Growth attitude: stay curious, seek feedback, mentor juniors, and adapt to the fast-moving GenAI space. Nice-to-Haves Experience with RAG pipelines over enterprise knowledge bases (SharePoint, Confluence, Snowflake). Hands-on with MCP servers/clients, MCP Toolbox for Databases, or similar gateway patterns. Familiarity with LLM evaluation frameworks (LangSmith, TruLens, Ragas). Familiarity with Palantir/Foundry. Knowledge of privacy-enhancing techniques (data anonymization, differential privacy). Prior work on conversational UX, prompt marketplaces, or agent simulators. Contributions to open-source AI projects or published research. Why Join Us? Direct impact on products used by Fortune 500 teams. Work with cutting-edge models and shape best practices for enterprise AI agents. Collaborative culture that values experimentation, continuous learning, and work–life balance. Competitive salary, equity, remote-first flexibility, and professional development budget. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Role Description Job Title: Release Control Analyst Experience: 5-8 years Location: [Location - e.g., Trivandrum] Job Description: We are seeking an experienced Release Control Analyst with 5-8 years of expertise in Build and Release Management , Configuration Management , and Compliance & Governance . The ideal candidate will have hands-on experience with SQL Server , .NET Framework , Azure DevOps , and Cosmos DB , and will be adept at building automated workflows and integrations. This role requires strong technical skills, as well as the ability to plan and execute software releases efficiently while ensuring compliance with industry best practices and governance standards. Key Responsibilities: Release Management & Control: Plan, coordinate, and execute software releases across development, testing, and production environments. Ensure release processes are followed to reduce risks and minimize downtime. Track and document all release activities, ensuring compliance with governance and industry standards. Establish and maintain release schedules, working with development and operations teams to ensure timely releases. Build & Configuration Management: Manage build processes for .NET-based applications, ensuring proper compilation, packaging, and deployment. Use Azure DevOps to implement and maintain CI/CD pipelines for automated releases. Oversee configuration management to ensure consistency and reliability across various environments. Optimize release automation and integration processes to improve deployment efficiency. Automation & Integration: Develop and maintain automated workflows to enhance the release and deployment processes. Integrate Azure DevOps with other tools to streamline build and release management. Focus on database release automation, specifically with SQL Server and Cosmos DB. Governance & Compliance: Ensure all releases adhere to compliance and governance policies, maintaining audit trails. Perform risk assessments for software releases and manage rollback strategies when needed. Implement best practices for security, access control, and release approval workflows. Collaboration & Continuous Improvement: Collaborate with Development, QA, and Operations teams to streamline release cycles. Troubleshoot and resolve release-related issues quickly and effectively. Continuously improve release management processes through automation and innovative practices. Document release procedures, best practices, and lessons learned for future reference. Required Skills & Qualifications: 5-7 years of experience in Release Management, Build and Release Engineering, and Configuration Management. Strong knowledge of SQL Server, .NET Framework, Cosmos DB, and Azure DevOps. Hands-on experience with CI/CD pipelines, build automation, and deployment tools. Strong understanding of Software Development Lifecycle (SDLC) and DevOps principles. Experience in compliance, governance, and security best practices in release management. Experience working with cloud platforms such as Azure or AWS. Excellent troubleshooting, analytical, and problem-solving skills. Strong communication and collaboration skills to work effectively with cross-functional teams. Willingness to support the team in UK Shift and provide on-call support when required. Skills: SQL Server .NET Framework Cosmos DB Build and Release Management Azure DevOps CI/CD Pipelines Automation and Integration Compliance & Governance Educational Qualification: Bachelor’s degree in Computer Science, Engineering, or a related field. Skills Sql Server,.Net Framework,Cosmos Db,Build And Release Management Show more Show less

Description Responsible for ensuring the reliability, scalability, and performance of cloud-native systems across AWS, Azure, or GCP environments. Leverages advanced skills in Kubernetes, Infrastructure as Code (Terraform, CloudFormation), and configuration management tools (Ansible, Puppet, Chef) to manage and automate cloud infrastructure. Leads the implementation of containerized solutions, CI/CD pipelines, and proactive monitoring using tools like Prometheus, Grafana, Splunk, and ELK Stack. Develops and executes robust testing strategies, streamlines incident response, and enhances service performance through real-time observability and automated dashboards. Cloud Platforms: Advanced proficiency in one or more cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), including expertise in services such as EC2, S3, RDS, and VPC networking. Container Orchestration: Strong experience with container orchestration platforms such as Kubernetes, including deployment, scaling, and management of containerized applications. Configuration Management and Automation: Proficiency in configuration management tools such as Ansible, Puppet, or Chef, with a strong emphasis on automation and infrastructure as code (IaC) practices. Monitoring and Observability: Hands-on experience with monitoring and observability tools such as Splunk, Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana), or similar solutions for real-time system monitoring, logging, tracing, and alerting. Continuous Integration/Continuous Deployment (CI/CD): Experience with CI/CD pipelines and tools such as Jenkins, GitLab CI/CD, CircleCI, or Travis CI, including automated testing, deployment, and rollback strategies. Infrastructure as Code (IaC): Proficiency in IaC tools such as Terraform or CloudFormation for provisioning and managing infrastructure resources declaratively. Scripting and Automation: Strong scripting skills in languages such as Python, Shell, or Go for automating repetitive tasks, managing configurations, and orchestrating deployments. Databases and Datastores: Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra), time series databases Including performance tuning, replication, and high availability configurations. Security Best Practices: Familiarity with security best practices for cloud environments, including identity and access management (IAM), encryption, network security, and compliance standards such as PCI-DSS and GDPR. Version Control Systems: Proficiency in version control systems such as Git, including branching strategies, code reviews, and collaboration workflows. Synthetic Monitoring: Experience with synthetic monitoring tools such as New Relic Synthetics, Datadog Synthetics, or Selenium for simulating user interactions and monitoring application performance from external locations. Network Understanding: Strong understanding of networking, distributed systems, microservices architecture, and other relevant architectural concepts. Analytical Skills: Excellent problem-solving skills and the ability to troubleshoot complex issues in production environments. Responsibilities Efficient Lifecycle Management: You will be enhancing application and cloud service lifecycles. Reliable Software Improvement: Boost software dependability for organizational efficiency. Expert Guidance in Reliability: Provide expert direction on reliability practices. Robust Testing Development: Develop effective testing strategies and tools. Adaptable SRE Solutions Implementation: Implement flexible solutions to enhance system stability. Dashboard Development Leadership: Lead comprehensive SRE Dashboard creation. Optimized Performance Testing Deployment: Deploy specialized tests for peak system performance. Swift Incident Resolution: Resolve production incidents promptly to minimize disruptions. Continuous Service Enhancement: Enhance service reliability through proactive measures. Proactive Anomaly Management: Identify and address anomalies before they impact operations. Automated Dashboard Setup: Streamline dashboard provisioning for efficient operations. Precise Code Debugging: Investigate and resolve issues at the code level efficiently. Seamless Release Integration: Integrate SRE practices seamlessly into the release cycle. Efficient Process Automation: Automate repetitive tasks to save time and resources. Dynamic SRE Solutions Enhancement: Assess and enhance SRE solutions for optimal performance. Collaborative SRE Implementation: Work with teams to implement and refine SRE practices. Proactive System Enhancement: Improve system resilience through proactive initiatives. Effective SRE Training Delivery: Deliver training sessions for widespread SRE knowledge. Scalability Strategy Planning: Design strategies for scalable infrastructure growth. Proactive Improvements: Spend at least 50% of your time on proactive improvements to system reliability and resilience Training: Conduct SRE training sessions Nice To Have Previous FedEx experience Master’s degree Domain knowledge in logistics, finance, or supply chain Education: Bachelor's degree or equivalent in Computer Science, Electrical / Electronics Engineering, MIS or related discipline. TOGAF certification and SAFe Agile certification strongly preferred. Experience: Six to seven (6-7) years equivalent work experience in information technology or engineering environment with a direct responsibility for strategy formulation and solution/technical architecture, as well as designing, architecting, developing, implementing, and monitoring efficient and effective solutions to diverse and complex business problems. Knowledge, Skills And Abilities Fluency in English Accuracy & Attention to Detail Influencing & Persuasion Planning & Organizing Problem Solving Project Management Preferred Qualifications Pay Transparency: Pay Additional Details: FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace. Show more Show less

About Us JOB DESCRIPTION SBI Card is a leading pure-play credit card issuer in India, offering a wide range of credit cards to cater to diverse customer needs. We are constantly innovating to meet the evolving financial needs of our customers, empowering them with digital currency for seamless payment experience and indulge in rewarding benefits. At SBI Card, the motto 'Make Life Simple' inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone. SBI Card is proud to be an equal opportunity & inclusive employer and welcome employees without any discrimination on the grounds of race, color, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work. Join us to shape the future of digital payment in India and unlock your full potential. What’s In It For YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning & development framework Role Purpose Responsible for the management of all collections processes for allocated portfolio in the assigned CD/Area basis targets set for resolution, normalization, rollback/absolute recovery and ROR. Role Accountability Conduct timely allocation of portfolio to aligned vendors/NFTEs and conduct ongoing reviews to drive performance on the business targets through an extended team of field executives and callers Formulate tactical short term incentive plans for NFTEs to increase productivity and drive DRR Ensure various critical segments as defined by business are reviewed and performance is driven on them Ensure judicious use of hardship tools and adherence to the settlement waivers both on rate and value Conduct ongoing field visits on critical accounts and ensure proper documentation in Collect24 system of all field visits and telephone calls to customers Raise red flags in a timely manner basis deterioration in portfolio health indicators/frauds and raise timely alarms on critical incidents as per the compliance guidelines Ensure all guidelines mentioned in the SVCL are adhered to and that process hygiene is maintained at aligned agencies Ensure 100% data security using secured data transfer modes and data purging as per policy Ensure all customer complaints received are closed within time frame Conduct thorough due diligence while onboarding/offboarding/renewing a vendor and all necessary formalities are completed prior to allocating Ensure agencies raise invoices timely Monitor NFTE ACR CAPE as per the collection strategy Measures of Success Portfolio Coverage Resolution Rate Normalization/Roll back Rate Settlement waiver rate Absolute Recovery Rupee collected NFTE CAPE DRA certification of NFTEs Absolute Customer Complaints Absolute audit observations Process adherence as per MOU Technical Skills / Experience / Certifications Credit Card knowledge along with good understanding of Collection Processes Competencies critical to the role Analytical Ability Stakeholder Management Problem Solving Result Orientation Process Orientation Qualification Post-Graduate / Graduate in any discipline Preferred Industry FSI Show more Show less

About Us JOB DESCRIPTION SBI Card is a leading pure-play credit card issuer in India, offering a wide range of credit cards to cater to diverse customer needs. We are constantly innovating to meet the evolving financial needs of our customers, empowering them with digital currency for seamless payment experience and indulge in rewarding benefits. At SBI Card, the motto 'Make Life Simple' inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone. SBI Card is proud to be an equal opportunity & inclusive employer and welcome employees without any discrimination on the grounds of race, color, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work. Join us to shape the future of digital payment in India and unlock your full potential. What’s In It For YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning & development framework Role Purpose Responsible for the management of all collections processes for allocated portfolio in the assigned CD/Area basis targets set for resolution, normalization, rollback/absolute recovery and ROR. Role Accountability Conduct timely allocation of portfolio to aligned vendors/NFTEs and conduct ongoing reviews to drive performance on the business targets through an extended team of field executives and callers Formulate tactical short term incentive plans for NFTEs to increase productivity and drive DRR Ensure various critical segments as defined by business are reviewed and performance is driven on them Ensure judicious use of hardship tools and adherence to the settlement waivers both on rate and value Conduct ongoing field visits on critical accounts and ensure proper documentation in Collect24 system of all field visits and telephone calls to customers Raise red flags in a timely manner basis deterioration in portfolio health indicators/frauds and raise timely alarms on critical incidents as per the compliance guidelines Ensure all guidelines mentioned in the SVCL are adhered to and that process hygiene is maintained at aligned agencies Ensure 100% data security using secured data transfer modes and data purging as per policy Ensure all customer complaints received are closed within time frame Conduct thorough due diligence while onboarding/offboarding/renewing a vendor and all necessary formalities are completed prior to allocating Ensure agencies raise invoices timely Monitor NFTE ACR CAPE as per the collection strategy Measures of Success Portfolio Coverage Resolution Rate Normalization/Roll back Rate Settlement waiver rate Absolute Recovery Rupee collected NFTE CAPE DRA certification of NFTEs Absolute Customer Complaints Absolute audit observations Process adherence as per MOU Technical Skills / Experience / Certifications Credit Card knowledge along with good understanding of Collection Processes Competencies critical to the role Analytical Ability Stakeholder Management Problem Solving Result Orientation Process Orientation Qualification Post-Graduate / Graduate in any discipline Preferred Industry FSI Show more Show less

🧠 Job Title: Engineering Manager Company: Darwix AI Location: Gurgaon (On-site) Type: Full-Time Experience Required: 7–12 Years Compensation: Competitive salary + ESOPs + Performance-based bonuses 🌐 About Darwix AI Darwix AI is one of India’s fastest-growing AI-first startups, building next-gen conversational intelligence and real-time agent assist tools for sales teams globally. We’re transforming how enterprise sales happens across industries like BFSI, real estate, retail, and telecom with a GenAI-powered platform that combines multilingual transcription, NLP, real-time nudges, knowledge base integration, and performance analytics—all in one. Our clients include some of the biggest names in India, MENA, and SEA. We’re backed by marquee venture capitalists, 30+ angel investors, and operators from top AI, SaaS, and B2B companies. Our founding team comes from IITs, IIMs, BITS Pilani, and global enterprise AI firms. Now, we’re looking for a high-caliber Engineering Manager to help lead the next phase of our engineering evolution. If you’ve ever wanted to build and scale real-world AI systems for global use cases—this is your shot. 🎯 Role Overview As Engineering Manager at Darwix AI, you will be responsible for leading and managing a high-performing team of backend, frontend, and DevOps engineers. You will directly oversee the design, development, testing, and deployment of new features and system enhancements across Darwix’s AI-powered product suite. This is a hands-on technical leadership role , requiring the ability to code when needed, conduct architecture reviews, resolve blockers, and manage the overall engineering execution. You’ll work closely with product managers, data scientists, QA teams, and the founders to deliver on roadmap priorities with speed and precision. You’ll also be responsible for building team culture, mentoring developers, improving engineering processes, and helping the organization scale its tech platform and engineering capacity. 🔧 Key Responsibilities1. Team Leadership & Delivery Lead a team of 6–12 software engineers (across Python, PHP, frontend, and DevOps). Own sprint planning, execution, review, and release cycles. Ensure timely and high-quality delivery of key product features and platform improvements. Solve execution bottlenecks and ensure clarity across JIRA boards, product documentation, and sprint reviews. 2. Architecture & Technical Oversight Review and refine high-level and low-level designs proposed by the team. Provide guidance on scalable architectures, microservices design, performance tuning, and database optimization. Drive migration of legacy PHP code into scalable Python-based microservices. Maintain technical excellence across deployments, containerization, CI/CD, and codebase quality. 3. Hiring, Coaching & Career Development Own the hiring and onboarding process for engineers in your pod. Coach team members through 1:1s, OKRs, performance cycles, and continuous feedback. Foster a culture of ownership, transparency, and high-velocity delivery. 4. Process Design & Automation Drive adoption of agile development practices—daily stand-ups, retrospectives, sprint planning, documentation. Ensure production-grade observability, incident tracking, root cause analysis, and rollback strategies. Introduce quality metrics like test coverage, code review velocity, time-to-deploy, bug frequency, etc. 5. Cross-functional Collaboration Work closely with the product team to translate high-level product requirements into granular engineering plans. Liaise with QA, AI/ML, Data, and Infra teams to coordinate implementation across the board. Collaborate with customer success and client engineering for debugging and field escalations. 🔍 Technical Skills & Stack🔹 Primary Languages & Frameworks: Python (FastAPI, Flask, Django) PHP (legacy services; transitioning to Python) TypeScript, JavaScript, HTML5, CSS3 Mustache templates (preferred), React/Next.js (optional) 🔹 Databases & Storage: MySQL (primary), PostgreSQL MongoDB, Redis Vector DBs: Pinecone, FAISS, Weaviate (RAG pipelines) 🔹 AI/ML Integration: OpenAI APIs, Whisper, Wav2Vec, Deepgram Langchain, HuggingFace, LlamaIndex, LangGraph 🔹 DevOps & Infra: AWS EC2, S3, Lambda, CloudWatch Docker, GitHub Actions, Nginx Git (GitHub/GitLab), Jenkins (optional) 🔹 Monitoring & Testing: Prometheus, Grafana, Sentry PyTest, Selenium, Postman ✅ Candidate Profile👨‍💻 Experience: 7–12 years of total engineering experience in high-growth product companies or startups. At least 2 years of experience managing teams as a tech lead or engineering manager. Experience working on real-time data systems, microservices architecture, and SaaS platforms. 🎓 Education: Bachelor’s or Master’s degree in Computer Science or related field. Preferred background from Tier 1 institutions (IITs, BITS, NITs, IIITs). 💼 Traits We Love: You lead with clarity, ownership, and high attention to detail. You believe in building systems—not just shipping features. You are pragmatic and prioritize team delivery velocity over theoretical perfection. You obsess over latency, clean interfaces, and secure deployments. You want to build a high-performing tech org that scales globally. 🌟 What You’ll Get Leadership role in one of India’s top GenAI startups Competitive fixed compensation with performance bonuses Significant ESOPs tied to company milestones Transparent performance evaluation and promotion framework A high-speed environment where builders thrive Access to investor and client demos, roadshows, GTM huddles, and more Annual learning allowance and access to internal AI/ML bootcamps Founding-team-level visibility in engineering decisions and product innovation 🛠️ Projects You’ll Work On Real-time speech-to-text engine in 11 Indian languages AI-powered live nudges and agent assistance in B2B sales Conversation summarization and analytics for 100,000+ minutes/month Automated call scoring and custom AI model integration Multimodal input processing: audio, text, CRM, chat Custom knowledge graph integrations across BFSI, real estate, retail 📢 Why This Role Matters This is not just an Engineering Manager role. At Darwix AI, every engineering decision feeds directly into how real sales teams close deals. You’ll see your work powering real-time customer calls, nudging field reps in remote towns, helping CXOs make hiring decisions, and making a measurable impact on enterprise revenue. You’ll help shape the core technology platform of a company that’s redefining how humans and machines interact in sales. 📩 How to Apply Email your resume, GitHub/portfolio (if any), and a few lines on why this role excites you to: 📧 people@darwix.ai Subject: Application – Engineering Manager – [Your Name] If you’re a technical leader who thrives on velocity, takes pride in mentoring developers, and wants to ship mission-critical AI systems that power revenue growth across industries, this is your stage . Join Darwix AI. Let’s build something that lasts. Show more Show less

THE IT ORGANISATION A globally focused shipping and terminal organisation, Hapag-Lloyd is continuing to drive an ambitious and complex change and transformational program to modernize the applications enabling the digital journey of its customers. Hapag-Lloyd’s strategy depends on a successful digital transformation. As such, the business is building competitive advantage through technology and digitising interaction with customers and its core operational processes. Against this backdrop, the Global One IT has a mandate from the executive board to lead the technology transformation of Hapag-Lloyd. This role is based in Chennai which has just recently been established as one of 3 global IT hubs for Hapag-Lloyd and will be the global IT development hub. The manager is required to play a crucial role in helping Hapag-Lloyd to achieve its goals by successfully innovating and creating world class solutions while optimizing the costs as efficiently as possible. About The Role The IT Change Manager is responsible for planning, implementing, and managing the IT change management process, ensuring minimal disruption to IT services while enabling necessary changes. This role is critical in balancing the need for change with the stability and availability of IT systems. The Change Manager will champion the change management process and work closely with various IT teams and business stakeholders. Key Responsibilities & Tasks Change Planning & Scheduling: Review and assess proposed changes, ensuring proper authorization, risk assessment, impact analysis, and scheduling. Coordinate change implementation with relevant teams. Change Communication: Communicate planned changes to affected users and stakeholders in a timely and effective manner. Maintain communication channels and feedback loops. Risk Management: Identify, assess, and mitigate potential risks associated with changes. Develop contingency plans and rollback procedures. Change Implementation & Tracking: Oversee the implementation of approved changes, ensuring adherence to established procedures. Track the progress of changes and document outcomes. Post-Implementation Review: Conduct post-implementation reviews to evaluate the success of changes, identify areas for improvement, and capture lessons learned. Reporting & Metrics: Generate regular reports on change management performance, including key metrics such as number of changes, success rate, and mean time to implement. Analyze data to identify trends and areas for improvement. Tool Management: Manage and maintain the change management tool (e.g., ServiceNow, Remedy). Ensure data integrity and proper utilization of the tool. Training & Awareness: Provide training and awareness programs to IT staff and business users on the change management process and its importance. Continuous Improvement: Continuously evaluate and improve the change management process based on feedback, best practices, and industry trends. Collaboration: Collaborate effectively with various IT teams (e.g., development, operations, security) and business stakeholders to ensure successful change implementation. Compliance: Ensure compliance with relevant regulations and policies related to change management. Responsible for the further development and optimization of established change enablement practice, help with the automation and digitalization of services and promote the development of innovative ITSM enablement technology strategies. Iteratively improve technical and organizational processes and cross-collaboration. Actively contribute to ITSM projects at an operational and strategic level and drive continuous process improvement in the area of change enablement You actively seek exchange with other experts, thereby sharing and expanding your knowledge at the same time. BEHAVIOURS & APPROACH Strong communication, presentation and interpersonal skills, with the ability to engage effectively with senior management. Able to manage conflict with the ability to build pro-active, co-operative working relationships with customers, peers and key stakeholders based on respect and teamwork Strong team player Strict, Rigorous, Meticulous, detailed oriented with the ability to convince effectively Good IT Infrastructure & Operations understanding Strong stakeholder management To have a flexible approach whilst ensuring process governance is adhered to Able to evaluate information, identify key issues and formulate conclusions based on sound, practical judgment, experience and Common Sense Experience with and sensitivity to different cultures Ability to act under pressure and to manage efficiently crisis situations Able to evaluate information, identify key issues and formulate conclusions based on sound, practical judgment, experience, and common sense Work Experience Total work experience of 7-9 years. Extensive experience in change management, process improvement, large scale AWS applications. Proven experience of 3 to 5 years in IT change management, preferably in a large and complex and global IT environment. Strong understanding of ITIL framework and best practices for change management. Experience with change management tools (e.g., ServiceNow, Remedy). Excellent communication, interpersonal, and collaboration skills. Strong analytical and problem-solving skills. Ability to work under pressure and manage multiple priorities. ITIL certification (Foundation is a must, advanced levels are considered an advantage) Ideally, you have already gained experience in applying ITIL practices in DevSecOps environment or have been part of Agile / DevSecOps transformation Experience with IT Service Management Platforms (Jira and/or ServiceNow preferred) Strong analytical skills and communicate convincingly and confidently with both technical and business stakeholders, including ability to successfully communicate with a large audiences Agile mindset and a high level of quality awareness Willingness to perform and your passion for implementing complex service management projects in an agile environment. Ability to shape change positively and constructively (“be a change leader”) IT Vendor management experience in a multi-vendor IT delivery environment is a plus. Fluent English language skills, German is an advantage EDUCATION & QUALIFICATION Bachelor's or Master's degree in a relevant field (e.g. Business Administration, Operations Management or related). ITIL 3 or 4 foundation certification specifically relating to Change & Release Management Excellent communication, problem-solving, and stakeholder management skills. English language – expert proficiency (additional languages are beneficial) What We Offer Competitive salary Self & Family Health Insurance Term & Life Insurance OPD Benefits Employees’ Deposit Linked Insurance Scheme (EDLI) Learning & Development through HL Academy Flexible Work from Home Leave Travel Allowance Variable performance bonus Recreation facilities Privilege, Casual and Sick leaves Show more Show less

We are looking for collection managers to handle Retail and BB portfolio in Pune and Nashik region. The base location will be Pune. Job Role : · Timely communication on targets across portfolio parameters of resolution, rollback & normalization to Agency proprietor & agency manager · Ensure achievement of Resolution, Rollback/ Normalization targets assigned on the portfolio allocated are achieved · Timely submission of used receipts & ensuring payment application within the approved TAT. · Receipt reconciliation to be done within the approved cut off date · Start of month audits to be conducted to ensure 100% process adherence. Any abbreviations to be reported to location head/ RCM as appropriate · Communication on pickups for accounts where pickups have been generated · Ensure vendor payouts are timely raised & commission is subsequently paid to vendors · Agency to operate within the regulatory framework with 100% compliance of regulatory norms · Direct field follow up on difficult cases by Agency Manager along with agency proprietor/ agency supervisor for personal traction of high risk accounts. · Ensure necessary investigation of complaints received across channels are shared post necessary review to prevent any reputational/ financial loss for the Bank. · Identify & recommend cases where Legal recourses need to be sought & ensure legal coverage of all accounts allocated as appropriate Show more Show less

Devops Manager Location: Ahmedabad/Hyderabad Exp: 14+ years Experience Required: 14+ years total experience, with 4–5 years in managerial roles. Technical Knowledge and Skills: Mandatory: Cloud: GCP (Complete stack from IAM to GKE) CI/CD: End-to-end pipeline ownership (GitHub Actions, Jenkins, Argo CD) IaC: Terraform, Helm • Containers: Docker, Kubernetes • DevSecOps: Vault, Trivy, OWASP Nice to Have: FinOps exposure for cost optimization Big Data tools familiarity (BigQuery, Dataflow) Familiarity with Kong, Anthos, Istio Scope: Lead DevOps team across multiple pods and products Define roadmap for automation, security, and CI/CD Ensure operational stability of deployment pipelines Roles and Responsibilities: Architect and guide implementation of enterprise-grade CI/CD pipelines that support multi-environment deployments, microservices architecture, and zero downtime delivery practices. Oversee Infrastructure-as-Code initiatives to establish consistent and compliant cloud provisioning using Terraform, Helm, and policy-as-code integrations. Champion DevSecOps practices by embedding security controls throughout the pipeline—ensuring image scanning, secrets encryption, policy checks, and runtime security enforcement Lead and manage a geographically distributed DevOps team, setting performance expectations, development plans, and engagement strategies. • Drive cross-functional collaboration with engineering, QA, product, and SRE teams to establish integrated DevOps governance practices. Develop a framework for release readiness, rollback automation, change control, and environment reconciliation processes. Monitor deployment health, release velocity, lead time to recovery, and infrastructure cost optimization through actionable DevOps metrics dashboards Serve as the primary point of contact for C-level stakeholders during major infrastructure changes, incident escalations, or audits. Own the budgeting and cost management strategy for DevOps tooling, cloud consumption, and external consulting partnerships. Identify, evaluate, and onboard emerging DevOps technologies, ensuring team readiness through structured onboarding, POCs, and knowledge sessions. Foster a culture of continuous learning, innovation, and ownership—driving internal tech talks, hackathons, and community engagement Show more Show less

We are hiring for Release Manager – Copado Specialist Role: Release Manager – Copado Specialist Experience: 6 years to 12 years Location: PAN India Note-Virtual Interview on 29th May 2025 Interested candidates can send their resume on below mail ID along with below details- geethanjali.u@tcs.com Please share below details- Full Name: Email: Contact Details: Total Experience: Current location: Preferred location: Relevant Experience: Notice Period: Current CTC: Expected CTC: Current Company Name: Education or career gap (if any): EP Reference Number (if already registered with TCS) – Highest Qualification: Highest Qualification University Name: . About the Role: We are seeking experienced and proactive hands-on Release Manager with Copado expertise to lead and oversee our Salesforce release management lifecycle. The ideal candidate will be responsible for managing deployments across various environments using Copado, ensuring code quality and compliance, and leading a high-performing release team along with the ability to identify and fix complex Copado related deployment issues.. This role requires a deep understanding of Salesforce DevOps practices, excellent problem-solving skills, and proven experience in managing release cycles efficiently. Key Responsibilities: Lead end-to-end release management for Salesforce applications using Copado. Own and drive the release calendar, coordinating across multiple teams to ensure smooth deployments. Define and enforce deployment and rollback strategies, CI/CD pipelines, and governance models. Collaborate closely with developers, QA, product owners, and stakeholders to ensure alignment and transparency. Manage and mentor a team of release engineers and ensure timely and quality deployments. Troubleshoot and resolve deployment issues and conflicts. Maintain release documentation and ensure audit readiness. Continuously improve release processes through automation, process refinement, and best practices. Show more Show less

At Rethem, we're revolutionizing the sales landscape by putting buyer outcomes at the forefront. We understand that customers buy outcomes, and our AI-driven platform empowers your sales reps to deliver those outcomes, helping them crush their quotas. What Sets Us Apart Deep AI Integration: Our platform leverages advanced AI that acts as a personal coach for your reps, adapting to your business processes to automate complex tasks and provide real-time guidance Outcome-Driven Approach: By focusing on delivering measurable outcomes, we enable your sales team to build trust and foster long-term customer relationships Market Leadership: Positioned at the cutting edge of buyer-centric sales transformation, we're leading the shift towards more meaningful and effective sales interactions Proven Expertise: Our leadership and team consist of industry veterans with a track record of driving substantial growth and innovation in sales Our Mission To redefine the sales process by aligning it with buyer needs, leveraging AI to empower sales teams to deliver outcomes that drive mutual success. Transform Your Sales Strategy with AI Rethem turns your sales playbook into an intelligent, always-on guide that adapts in real-time. By harnessing the power of AI, we provide your team with: Real-Time Coaching: Enhance performance with actionable insights during every buyer interaction Enhanced Efficiency: Automate key processes so your reps can focus on building relationships and delivering value Outcome Alignment: Ensure your offerings are perfectly aligned with customer objectives, leading to higher satisfaction and loyalty Accelerate Growth: Drive higher win rates and larger deals through a buyer-focused approach Vision for the Future We envision a future where AI and human expertise collaborate seamlessly to create unparalleled sales experiences. By continuously innovating, we aim to stay at the forefront of buyer-centric sales transformation. Join the Sales Revolution Emerging from stealth mode, Rethem invites a select group of visionary organizations to pilot our groundbreaking platform. If you're ready to elevate your sales team, deliver exceptional customer outcomes, and empower your reps to crush their quotas, visit our website to learn more and apply. Be Part of Our Journey We're assembling a team of innovators passionate about reshaping the sales industry. Explore career opportunities with Re:them and help shape the future of outcome-driven, AI-powered sales. Experience the Power of AI-Driven Sales Transformation with Re:them. The Role We are seeking a hands-on Agentic AI Ops Engineer who thrives at the intersection of cloud infrastructure , AI agent systems , and DevOps automation . In this role, you will build and maintain the CI/CD infrastructure for Agentic AI solutions using Terraform on AWS , while also developing, deploying, and debugging intelligent agents and their associated tools . This position is critical to ensuring scalable, traceable, and cost-effective delivery of agentic systems in production environments. The Responsibilities CI/CD Infrastructure for Agentic AI Design, implement, and maintain CI/CD pipelines for Agentic AI applications using Terraform , AWS CodePipeline , CodeBuild , and related tools. Automate deployment of multi-agent systems and associated tooling, ensuring version control, rollback strategies, and consistent environment parity across dev/test/prod Agent Development & Debugging Collaborate with ML/NLP engineers to develop and deploy modular, tool-integrated AI agents in production. Lead the effort to create debuggable agent architectures , with structured logging, standardized agent behaviors, and feedback integration loops. Build agent lifecycle management tools that support quick iteration, rollback, and debugging of faulty behaviors Monitoring, Tracing & Reliability Implement end-to-end observability for agents and tools, including runtime performance metrics , tool invocation traces , and latency/accuracy tracking . Design dashboards and alerting mechanisms to capture agent failures, degraded performance, and tool bottlenecks in real-time. Build lightweight tracing systems that help visualize agent workflows and simplify root cause analysis Cost Optimization & Usage Analysis Monitor and manage cost metrics associated with agentic operations including API call usage , toolchain overhead , and model inference costs . Set up proactive alerts for usage anomalies , implement cost dashboards , and propose strategies for reducing operational expenses without compromising performance Collaboration & Continuous Improvement Work closely with product, backend, and AI teams to evolve the agentic infrastructure design and tool orchestration workflows . Drive the adoption of best practices for Agentic AI DevOps , including retraining automation, secure deployments, and compliance in cloud-hosted environments. Participate in design reviews, postmortems, and architectural roadmap planning to continuously improve reliability and scalability Requirements 2+ years of experience in DevOps, MLOps, or Cloud Infrastructure with exposure to AI/ML systems . Deep expertise in AWS serverless architecture , including hands-on experience with: AWS Lambda - function design, performance tuning, cold-start optimization. Amazon API Gateway - managing REST/HTTP APIs and integrating with Lambda securely. Step Functions - orchestrating agentic workflows and managing execution states. S3, DynamoDB, EventBridge, SQS - event-driven and storage patterns for scalable AI systems. Strong proficiency in Terraform to build and manage serverless AWS environments using reusable, modular templates Experience deploying and managing CI/CD pipelines for serverless and agent-based applications using AWS CodePipeline, CodeBuild, CodeDeploy , or GitHub Actions Hands-on experience with agent and tool development in Python , including debugging and performance tuning in production. Solid understanding of IAM roles and policies , VPC configuration, and least-privilege access control for securing AI systems. Deep understanding of monitoring, alerting, and distributed tracing systems (e.g., CloudWatch, Grafana, OpenTelemetry). Ability to manage environment parity across dev, staging, and production using automated infrastructure pipelines. Excellent debugging, documentation, and cross-team communication skills Benefits Health Insurance, PTO, and Leave time Ongoing paid professional training and certifications Fully Remote work Opportunity Strong Onboarding & Training programs Are you r eady to Join the Revolution? If you're ready to take on this exciting challenge and believe you meet our requirements, we encourage you to apply. Let's shape the future of AI-driven sales together! See more about us at https://www.rethem.ai/ EEO Statement All qualified applicants to Expedite Commerce are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran's status or any other protected characteristic. Show more Show less

Responsible for ensuring the reliability, scalability, and performance of cloud-native systems across AWS, Azure, or GCP environments. Leverages advanced skills in Kubernetes, Infrastructure as Code (Terraform, CloudFormation), and configuration management tools (Ansible, Puppet, Chef) to manage and automate cloud infrastructure. Leads the implementation of containerized solutions, CI/CD pipelines, and proactive monitoring using tools like Prometheus, Grafana, Splunk, and ELK Stack. Develops and executes robust testing strategies, streamlines incident response, and enhances service performance through real-time observability and automated dashboards. Cloud Platforms: Advanced proficiency in one or more cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), including expertise in services such as EC2, S3, RDS, and VPC networking. Container Orchestration: Strong experience with container orchestration platforms such as Kubernetes, including deployment, scaling, and management of containerized applications. Configuration Management and Automation: Proficiency in configuration management tools such as Ansible, Puppet, or Chef, with a strong emphasis on automation and infrastructure as code (IaC) practices. Monitoring and Observability: Hands-on experience with monitoring and observability tools such as Splunk, Prometheus, Grafana, ELK stack (Elasticsearch, Logstash, Kibana), or similar solutions for real-time system monitoring, logging, tracing, and alerting. Continuous Integration/Continuous Deployment (CI/CD): Experience with CI/CD pipelines and tools such as Jenkins, GitLab CI/CD, CircleCI, or Travis CI, including automated testing, deployment, and rollback strategies. Infrastructure as Code (IaC): Proficiency in IaC tools such as Terraform or CloudFormation for provisioning and managing infrastructure resources declaratively. Scripting and Automation: Strong scripting skills in languages such as Python, Shell, or Go for automating repetitive tasks, managing configurations, and orchestrating deployments. Databases and Datastores: Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra), time series databases Including performance tuning, replication, and high availability configurations. Security Best Practices: Familiarity with security best practices for cloud environments, including identity and access management (IAM), encryption, network security, and compliance standards such as PCI-DSS and GDPR. Version Control Systems: Proficiency in version control systems such as Git, including branching strategies, code reviews, and collaboration workflows. Synthetic Monitoring: Experience with synthetic monitoring tools such as New Relic Synthetics, Datadog Synthetics, or Selenium for simulating user interactions and monitoring application performance from external locations. Network Understanding: Strong understanding of networking, distributed systems, microservices architecture, and other relevant architectural concepts. Analytical Skills: Excellent problem-solving skills and the ability to troubleshoot complex issues in production environments. Responsibilities Efficient Lifecycle Management: You will be enhancing application and cloud service lifecycles. Reliable Software Improvement: Boost software dependability for organizational efficiency. Expert Guidance in Reliability: Provide expert direction on reliability practices. Robust Testing Development: Develop effective testing strategies and tools. Adaptable SRE Solutions Implementation: Implement flexible solutions to enhance system stability. Dashboard Development Leadership: Lead comprehensive SRE Dashboard creation. Optimized Performance Testing Deployment: Deploy specialized tests for peak system performance. Swift Incident Resolution: Resolve production incidents promptly to minimize disruptions. Continuous Service Enhancement: Enhance service reliability through proactive measures. Proactive Anomaly Management: Identify and address anomalies before they impact operations. Automated Dashboard Setup: Streamline dashboard provisioning for efficient operations. Precise Code Debugging: Investigate and resolve issues at the code level efficiently. Seamless Release Integration: Integrate SRE practices seamlessly into the release cycle. Efficient Process Automation: Automate repetitive tasks to save time and resources. Dynamic SRE Solutions Enhancement: Assess and enhance SRE solutions for optimal performance. Collaborative SRE Implementation: Work with teams to implement and refine SRE practices. Proactive System Enhancement: Improve system resilience through proactive initiatives. Effective SRE Training Delivery: Deliver training sessions for widespread SRE knowledge. Scalability Strategy Planning: Design strategies for scalable infrastructure growth. Proactive Improvements: Spend at least 50% of your time on proactive improvements to system reliability and resilience Training: Conduct SRE training sessions Nice To Have Previous FedEx experience Master’s degree Domain knowledge in logistics, finance, or supply chain Education: Bachelor's degree or equivalent in Computer Science, Electrical / Electronics Engineering, MIS or related discipline. TOGAF certification and SAFe Agile certification strongly preferred. Experience: Six to seven (6-7) years equivalent work experience in information technology or engineering environment with a direct responsibility for strategy formulation and solution/technical architecture, as well as designing, architecting, developing, implementing, and monitoring efficient and effective solutions to diverse and complex business problems. Knowledge, Skills And Abilities Fluency in English Accuracy & Attention to Detail Influencing & Persuasion Planning & Organizing Problem Solving Project Management Preferred Qualifications Pay Transparency: Pay Additional Details: FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity/affirmative action employer and we are committed to a diverse, equitable, and inclusive workforce in which we enforce fair treatment, and provide growth opportunities for everyone. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, genetics, religion, gender, marital status, pregnancy (including childbirth or a related medical condition), physical or mental disability, or any other characteristic protected by applicable laws, regulations, and ordinances. Our Company FedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World’s Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding. Our Philosophy The People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy, or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company. Our Culture Our culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions, and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970’s. While other companies can copy our systems, infrastructure, and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today’s global marketplace. Show more Show less

We are looking for a hands-on MLOps & CI/CD Engineer to join our fast-paced engineering team. This role is ideal for professionals passionate about deploying and maintaining AI/ML pipelines while enabling robust CI/CD practices across engineering projects. You will be responsible for managing the full lifecycle of machine learning models — from experimentation to deployment and monitoring — while also playing a critical role in designing and managing end-to-end CI/CD pipelines for all software components, ensuring high developer productivity and system reliability. Key Responsibilities MLOps Responsibilities Build and maintain scalable MLOps pipelines using tools like MLflow , Azure ML , or Kubeflow . Operationalise AI agents and LLM-based solutions into production-ready workflows. Deploy and maintain Retrieval-Augmented Generation (RAG) pipelines and manage vector databases . Implement model monitoring, drift detection, and retraining workflows. Collaborate with AI leads to integrate ML models via secure, optimised APIs. CI/CD & DevOps Responsibilities Design and implement CI/CD pipelines for web applications , APIs , agents , and bots . Automate build, test, and deployment processes using Azure DevOps or GitHub Actions . Manage infrastructure through Infrastructure as Code (IaC) using tools like Terraform , Bicep , or ARM templates . Standardise deployment practices across dev , staging , and production environments. Implement containerisation strategies using Docker and orchestrate using Kubernetes (AKS) . Ensure CI/CD processes include automated testing, version control, rollback strategies, and promotion policies. Enhance system observability with robust logging, monitoring, and alerting using Azure Monitor , Prometheus , or Grafana . Required Qualifications Minimum 3 years of experience in MLOps, DevOps, or CI/CD-focused roles. Proficiency in Python and YAML scripting for workflow automation. Strong hands-on experience with Azure Cloud (preferred) or AWS/GCP. Familiarity with ML tools such as MLflow , Azure ML , or Kubeflow . Experience in building and maintaining CI/CD pipelines using Azure DevOps or GitHub Actions . Proficient in Docker , Kubernetes (preferably AKS) , and secure container practices. Good understanding of RESTful APIs , web services, and microservices architecture. Experience with Git workflows ; GitOps is a plus. Bonus Points Experience with LangChain , LangGraph , or other agentic AI frameworks. Exposure to CI/CD for front-end frameworks like React or Next.js . Knowledge of security , compliance , and observability tools. Show more Show less

🔍 We're Hiring! – ML Ops Engineer (Remote, India) 📍 Location: Remote (Within India) 💼 Employment Type: Full-Time / Contractor 📅 Start Date: Immediate 🕒 Working Hours: 1:30 PM IST – 10:30 PM IST (Aligned with US CST) 🚀 Join Madlabs Global LLC as we lead the charge in deploying cutting-edge ML and Generative AI solutions at scale! We’re looking for a highly skilled ML Ops Engineer to lead the development, deployment, and lifecycle management of AI/ML models in cloud-native (preferably GCP) environments . 💼 Key Responsibilities Build scalable ML pipelines: ingestion, preprocessing, training, and serving. Collaborate with Data Scientists to turn prototypes into production-ready systems. Deploy and optimize LLM-based applications (instruction-tuned, fine-tuned models). Own continuous learning pipelines: retraining, model drift detection, performance tuning. Automate workflows using CI/CD , MLFlow , orchestration tools. Leverage GCP services like Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Functions. Use Docker & Kubernetes to containerize and orchestrate model deployments. Monitor model performance with Prometheus, TensorBoard, Grafana, etc. Ensure security, fairness, and compliance across ML systems. 🧠 Required Experience 8+ years in ML Engineering, MLOps, or AI Infrastructure roles. Strong coding skills in Python with frameworks like TensorFlow, PyTorch, Scikit-learn. Deep expertise in GCP-native ML stacks . Hands-on experience in Generative AI model deployment and model optimization . Proficiency in Docker, Kubernetes, Jenkins, GitLab CI/CD . Solid understanding of model monitoring, versioning, rollback, and governance. 🕘 Work Hours Fully remote (India-based) Must provide overlap with CST time zone – working hours: 1:30 PM IST to 10:30 PM IST 💬 Interested or want to learn more? 📞 Contact: +91 98868 11767 📧 Email: naveed@madlabsinfotech.com Apply now or DM us to explore this opportunity to work with a team pushing the boundaries of AI innovation! #Hiring #MLOps #MachineLearning #GenerativeAI #LLM #VertexAI #RemoteJobsIndia #DataEngineering #AIJobs #GCP #DevOpsForAI #MLDeployment #LinkedInJobs Show more Show less

About The Role We are seeking a highly experienced and technically proficient Lead Software Engineer to take ownership of a critical user migration initiative within our SafeSend product ecosystem. This role involves leading the strategic migration from the legacy SafeSend Identity Server (MS Identity v4) to a modern Customer Identity and Access Management (CIAM) platform. Responsibilities As the technical lead, you will be responsible for planning, designing, implementing, and automating the migration process, ensuring a seamless user experience, enhanced security, and improved scalability. You will collaborate closely with cross-functional teams across engineering, DevOps, QA, and product Responsibilities : Lead and manage the end-to-end migration process of SafeSend users to the new CIAM platform. Architect the replacement of the existing MS Identity Server v4 with a scalable and secure CIAM solution (e.g., Azure AD B2C, Auth0, Okta, or equivalent). Design, document, and implement detailed migration strategies, including phased rollouts, data transformation, and user provisioning. Develop custom .NET Core applications and services to support integration with the CIAM platform and ensure interoperability with existing product components. Automate migration workflows to support high-volume, error-resistant transitions using scripts, APIs, and cloud automation tools. Establish monitoring, logging, and rollback mechanisms to minimize risk and ensure reliability. Define and enforce security best practices, focusing on OAuth2, OIDC, SSO, token lifecycles, and identity federation. Collaborate with QA teams to develop test plans for validation and regression testing of migrated user accounts. Provide technical leadership, mentorship, and code reviews for a small team of developers involved in the migration. Act as the subject matter expert for authentication and identity services during the transition and post-migration support Skills and Qualifications : 7+ years of experience in software development with a focus on .NET Core and C#. Strong experience working with Azure Cloud Services, including Azure AD B2C, Key Vault, App Services, and Azure Functions. Proficiency in REST API design and development, including secure API practices and versioning strategies. In-depth knowledge of OAuth2, OpenID Connect, SSO, and modern identity/authentication protocols. Hands-on experience with Microsoft Identity Server (version 4 or higher), including its configuration, customization, and limitations. Demonstrated experience leading or participating in CIAM or IAM migration projects. Strong understanding of SQL Server/MSQL, including schema design, migrations, and data mapping. Familiarity with DevOps practices and CI/CD pipelines, especially in Azure DevOps or GitHub Actions. Excellent documentation skills and the ability to translate complex workflows into actionable implementation steps. Strong problem-solving, communication, and leadership skills. (ref:hirist.tech) Show more Show less

Role Description Job Title: Application Support Service Manager Hiring Locations - Kochi and Trivandrum Overview: The Service Manager for 24x5 Application Support is responsible for ensuring the smooth and efficient operation of mission-critical applications across a 24/5 support environment. This role involves overseeing the support teams, managing incidents, ensuring service levels are met, and coordinating with various stakeholders to maintain system uptime and reliability. The Service Manager will work proactively to identify potential issues, improve service delivery, and ensure application performance aligns with business objectives. Key Responsibilities: Service Delivery Management: Oversee the 24x5 support services for all critical business applications, ensuring high availability and timely resolution of incidents and requests. Manage and ensure adherence to service level agreements (SLAs) for response times, resolution times, and overall service quality. Coordinate with cross-functional teams (IT operations, infrastructure, development) to ensure seamless application support. Incident & Problem Management: Ensure timely identification and resolution of high-priority incidents to minimize business disruption. Lead root cause analysis (RCA) for major incidents and implement corrective actions to prevent future occurrences. Oversee the incident management process, ensuring incidents are logged, tracked, and escalated appropriately. Ensure a robust problem management process is in place to address recurring application issues and work with teams to implement long-term solutions. Team Leadership & Support: Lead and manage the 24x5 support team, ensuring adequate staffing and training to handle continuous application support demands. Provide leadership and mentoring to team members, setting performance goals and ensuring alignment with organizational expectations. Foster a collaborative environment for the team to effectively manage incidents and communicate with stakeholders. Continuous Service Improvement: Proactively identify areas for improvement in application support, implementing enhancements to processes, tools, and technologies. Monitor application performance and trends to identify potential issues and ensure service continuity. Collaborate with other teams to implement proactive measures that reduce incidents and improve service availability. Stakeholder Communication & Reporting: Serve as the primary point of contact for key stakeholders, providing regular updates on application performance, incident resolutions, and service metrics. Inform stakeholders of any major incidents or service disruptions and provide updates on resolution progress. Produce regular reports on application support performance, including incident management, downtime, and key performance indicators (KPIs). Change Management: Oversee and coordinate the change management process for application-related changes, ensuring documentation, testing, and controlled deployment. Ensure proper risk assessments are conducted for each change, with adequate rollback plans in place. Collaborate with IT operations and development teams to ensure changes do not negatively impact the support environment. Risk & Compliance Management: Ensure the application support service complies with relevant regulatory and security standards. Monitor and address any security vulnerabilities related to supported applications, working with security teams for timely solutions. Ensure proper backup, disaster recovery, and business continuity plans are in place for all supported applications. Qualifications: Experience: 6+ years of experience in application support or IT service management, with at least 2-3 years in a leadership or service management role. Proven experience managing 24x7 support environments, particularly for mission-critical or enterprise-level applications. Strong understanding of ITIL (Information Technology Infrastructure Library) processes, including incident, problem, and change management. Experience with monitoring tools, ticketing systems (e.g., ServiceNow, JIRA), and IT service management platforms. Familiarity with cloud platforms, infrastructure, and applications (e.g., AWS, Azure, Google Cloud) is a plus. Skills: Excellent leadership and team management abilities. Strong communication skills, able to effectively interact with both technical teams and business stakeholders. Ability to manage high-pressure situations and ensure swift resolution of incidents. Analytical mindset with the ability to identify trends, root causes, and improvement opportunities. Strong customer service orientation, with a focus on delivering high-quality support. Certifications: ITIL Foundation certification (preferred). PMP or Scrum Master certification is a plus. Skills Project Management,Application Support,ITIL Show more Show less

Experience : 10+ years About the Project : Were hiring for a strategic engagement with a leading telecommunications client. The role involves contributing to the development and enhancement of a monolithic software image for a custom hardware network device used for peer-to-peer VoIP calling. This device is already deployed in the field with thousands of active users. The engineering efforts include continuous improvement, bug fixes, and new feature development, all delivered to end users through OTA (Over-the-Air) updates. Key Responsibilities : Design, develop, and optimize embedded software running on custom Linux-based network hardware. Enhance and maintain a monolithic software image with a focus on stability and performance for field-deployed units. Diagnose and resolve bugs reported from production devices. Work on integrating and tuning VoIP protocol stacks (SIP, RTP) with FreeSWITCH. Address network-level issues such as latency, jitter, and packet loss for seamless call quality. Implement and optimize audio and signal processing components. Manage build systems and pipelines using Buildroot, Yocto, and Makefiles. Handle OTA upgrade mechanisms and ensure robust update strategies for field devices. Use tools like Wireshark, netmon, and Linux utilities for debugging and performance monitoring. Collaborate with cross-functional engineering teams (hardware, QA, DevOps). Required Skills : Strong programming skills in C/C++ and shell scripting for embedded Linux. Experience with GDB and other debugging tools for embedded systems. Deep understanding of Linux kernel internals, network stack, and device drivers. Experience with FreeSWITCH or similar VoIP media servers. Expertise in SIP, RTP, and network quality troubleshooting (QoS, jitter buffers, NAT traversal). Practical knowledge of signal processing, audio pipelines, and codecs. Build experience with Yocto, Buildroot, Make, and cross-compilation toolchains. Familiarity with OTA delivery systems and upgrade verification processes. Proficient in using Wireshark, tcpdump, netmon, and related network debugging tools. Hands-on with Wi-Fi, Bluetooth, and Linux network manager utilities. Project specific skill : SIP, RTP / SRTP, T.38 and/or G.711 FreeSWITCH / SpanDSP Fluent in C / C++ / C# Understanding of ITU-T compatible soft modems: V.34, V.32bis, V.22bis, V.22 FastConnect, V.21, Bell 103, Bell 212A, V.42, SDLC; Understanding of the Modem-over-IP technology V.150.1; familiarity with the existing solutions (by VOCAL etc) is a plus. RTP, jitter buffer with G.711 voice codec; OS: Linux, Centos. Kernel experience a plus; Device-side development experience is a must have; Wireshark - must be able to interpret PCAP's and to understand and correct communication issues especially for Modem-over-IP applications. The experience in using Git and SW version control; Strong analytical and problem solving skills and self-motivated type that can work independently. Preferred (Bonus) Skills : Contributions to open-source telecom or embedded systems projects. Knowledge of secure OTA update mechanisms, rollback strategies, and signing pipelines. Performance tuning for real-time embedded systems or VoIP gateways. Exposure to containerization (Docker) or CI/CD integration in embedded environments. Education : Bachelor's or Master's in Computer Engineering, Electronics, Embedded Systems, or a related field. Why Join Us : Join a high-impact telecom project with devices already live in production. Work on real-world problems at scale with direct OTA impact on thousands of users. Be part of a collaborative, technically driven environment solving core system challenges. Competitive salary and long-term growth potential with cutting-edge technology. Show more Show less

We are seeking AI Architect to lead the design, development, and deployment of advanced AI systems, with a strong emphasis on Large Language Models (LLMs) , fine-tuning , and customer experience (CX) technologies . This role blends deep technical expertise with leadership, research, and infrastructure planning to deliver intelligent, scalable, and customer-centric AI solutions across cloud and on-premise environments. Key Responsibilities 1. LLM Development & Fine-Tuning Architect and implement scalable solutions for training and fine-tuning LLMs Apply prompt engineering, transfer learning, and optimization techniques to enhance model performance. Integrate LLMs into customer-facing applications such as chatbots, VOICE AI agents, Expert AI agents, and recommendation engines. 2. Customer Experience (CX) Technology Integration Collaborate with CX and product teams to embed AI into customer journeys, improving personalization, automation, and engagement. Design AI-driven solutions for omnichannel support, sentiment analysis, and real-time feedback loops. Ensure AI systems align with customer satisfaction goals and ethical AI principles. 3. Technical Leadership & Team Management Lead and mentor a multidisciplinary team of AI engineers, data scientists, and MLOps professionals. Drive agile development practices and foster a culture of innovation and accountability. 4. Research & Innovation Conduct and apply research in NLP, LLMs, and AI infrastructure to solve real-world customer experience problems. Contribute to publications, patents, or open-source initiatives as appropriate. Guide team and maintain detailed architecture diagrams, design documents, and technical specifications. 5. Product Roadmap & Delivery Define and execute the AI product roadmap in collaboration with engineering and business stakeholders. Manage timelines, deliverables, and cross-functional dependencies. Plan and manage GPU infrastructure for training and inference (e.g., A100, H100, L40S). 6. Deployment & MLOps Deploy AI models on Azure, AWS , and on-premise GPU clusters using containerized and scalable architectures. Integrate with CI/CD pipelines and ensure robust monitoring, logging, and rollback mechanisms. Qualifications Master’s or Ph.D. in Computer Science, AI, Machine Learning, or related field. 5+ years of experience in AI/ML, with 1.5 + years in a leadership or GEN AI architect role. Proven experience with LLMs, Transformers, and fine-tuning frameworks (e.g., Hugging Face). Strong understanding of customer experience platforms and how AI can enhance them. Proficiency in Python, PyTorch, TensorFlow, and MLOps tools. Experience with cloud platforms (Azure, AWS) and on-premise GPU infrastructure. Why Join Us? Shape the future of AI-powered customer experiences, visibility to global customer AI deployments. Lead a high-impact team working on state-of-the-art technologies. Competitive compensation, and continuous learning opportunities Show more Show less

🚀 Job Title: Full Stack Developer – PHP / Python Company: Darwix AI Location: Gurgaon (On-site Preferred / Hybrid Flexibility) Type: Full-Time Experience: 2–6 years Tech Stack: PHP / Python (Backend), HTML, CSS, JavaScript, MySQL (Database), Git 🌍 About Darwix AI At Darwix AI , we are transforming the world of enterprise sales through real-time conversational intelligence and AI-driven sales coaching. Our GenAI-powered suite delivers multilingual voice-to-text transcription, real-time nudges, agent assist, and sales analytics—empowering revenue teams across India, the Middle East, and Southeast Asia to close faster and better. We are backed by top-tier VCs and over 30+ industry leaders and are building the future of AI for sales from India to the world. As we scale globally, we’re looking for driven engineers to help us build high-impact, scalable systems. 🎯 Role Overview We are looking for a Full Stack Developer who is confident working across both backend and frontend layers , with solid expertise in PHP and/or Python , and who can build, integrate, and scale mission-critical applications from the ground up. As a full stack engineer, you’ll work on everything from real-time data pipelines, admin dashboards, CRM integrations, agent interfaces, AI integrations, and powerful backend APIs—used by thousands of reps in sales, banking, and retail every day. This role is hands-on, execution-driven, and designed for someone who thrives in a high-growth startup with a strong ownership mindset. 🧠 Key Responsibilities 1. Backend Engineering (PHP/Python) Build and maintain backend services, APIs, and admin systems using PHP (Laravel/Core) and/or Python (Flask/Django/FastAPI). Optimize queries, server logic, and response times for high-traffic systems. Integrate with AI and ML services, authentication layers, and third-party APIs (CRMs, VOIP, WhatsApp, etc.). 2. Frontend Development Build responsive UIs using HTML, CSS, Bootstrap, JavaScript, and jQuery. Integrate backend APIs and data pipelines into usable UI components. Work with Mustache templating or explore React.js for dynamic dashboards. 3. Database Design & Data Handling Work with MySQL (preferred) and MongoDB (optional) to build efficient schemas, stored procedures, and scalable data models. Write optimized SQL queries, manage indexing, and ensure performance tuning. 4. DevOps & Version Control Use Git and GitHub for version control, code collaboration, and CI/CD. Deploy applications on AWS EC2 and manage live server interactions (code push, rollback, backup). 5. Moodle Customization (Preferred) (Bonus) Experience with Moodle-based development for LMS/enablement modules. Plugin development, UI customization, and API integration for learning platforms. 6. Cross-functional Collaboration Work closely with product managers, AI engineers, and frontend specialists to define feature scope and execution roadmap. Collaborate with QA team for test case automation, release cycles, and user testing. ✅ Desired Skills and Qualifications 2–6 years of experience as a Full Stack Developer , preferably in SaaS or B2B product companies. Proficient in Core PHP / Laravel and/or Python frameworks (Django, Flask, FastAPI). Strong grip on HTML, CSS, Bootstrap, JavaScript, jQuery . Proficient in working with MySQL or similar relational databases. Hands-on experience with Git, GitHub, and basic Linux command line. Comfortable working with API integrations (REST, Webhooks, etc.). Bonus: Experience with Docker , Moodle , Mustache , React.js , ElasticSearch . 🧠 Who Will Succeed in This Role You enjoy writing clean, scalable, and maintainable code—and take full ownership of your modules. You’ve built full-stack applications that are live in production environments. You understand business logic as deeply as backend logic—and optimize for usability and performance. You’re comfortable learning new tools and scaling systems across diverse enterprise requirements. You want to build in a fast-paced startup that puts product quality and user impact above everything. 💼 What We Offer Competitive salary and performance-based growth path. Equity potential based on long-term contributions. Mentorship from ex-founders and engineers from top product and AI companies. The opportunity to build for India, MENA, and global clients across industries. Work on AI-integrated systems , real-time agent assist, analytics, transcription, and more. A flat, high-ownership culture where you ship, you learn, you grow. 📬 How to Apply Email your resume and links to past projects (GitHub, portfolio) to: 📩 people@darwix.ai Subject: Application for Full Stack Developer – PHP/Python Darwix AI We’re building AI that sells. And the platform that powers it. www.darwix.ai Show more Show less

Senior Technical Architect – Machine Learning Solutions We are looking for a Senior Technical Architect with deep expertise in Machine Learning (ML), Artificial Intelligence (AI) , and scalable ML system design . This role will focus on leading the end-to-end architecture of advanced ML-driven platforms, delivering impactful, production-grade AI solutions across the enterprise. Key Responsibilities Lead the architecture and design of enterprise-grade ML platforms , including data pipelines, model training pipelines, model inference services, and monitoring frameworks. Architect and optimize ML lifecycle management systems (MLOps) to support scalable, reproducible, and secure deployment of ML models in production. Design and implement retrieval-augmented generation (RAG) systems, vector databases , semantic search , and LLM orchestration frameworks (e.g., LangChain, Autogen). Define and enforce best practices in model development, versioning, CI/CD pipelines , model drift detection, retraining, and rollback mechanisms. Build robust pipelines for data ingestion, preprocessing, feature engineering , and model training at scale , using batch and real-time streaming architectures. Architect multi-modal ML solutions involving NLP, computer vision, time-series, or structured data use cases. Collaborate with data scientists, ML engineers, DevOps, and product teams to convert research prototypes into scalable production services . Implement observability for ML models including custom metrics, performance monitoring, and explainability (XAI) tooling. Evaluate and integrate third-party LLMs (e.g., OpenAI, Claude, Cohere) or open-source models (e.g., LLaMA, Mistral) as part of intelligent application design. Create architectural blueprints and reference implementations for LLM APIs, model hosting, fine-tuning, and embedding pipelines . Guide the selection of compute frameworks (GPUs, TPUs), model serving frameworks (e.g., TorchServe, Triton, BentoML) , and scalable inference strategies (batch, real-time, streaming). Drive AI governance and responsible AI practices including auditability, compliance, bias mitigation, and data protection. Stay up to date on the latest developments in ML frameworks, foundation models, model compression, distillation, and efficient inference . Ability to coach and lead technical teams , fostering growth, knowledge sharing, and technical excellence in AI/ML domains. Experience managing the technical roadmap for AI-powered products , documentations ensuring timely delivery, performance optimization, and stakeholder alignment. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 8+ years of experience in software architecture , with 5+ years focused specifically on machine learning systems and 2 years in leading team. Proven expertise in designing and deploying ML systems at scale , across cloud and hybrid environments. Strong hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face, Scikit-learn). Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant) and embedding models (e.g., SBERT, OpenAI, Cohere). Demonstrated proficiency in MLOps tools and platforms : MLflow, Kubeflow, SageMaker, Vertex AI, DataBricks, Airflow, etc. In-depth knowledge of cloud AI/ML services on AWS, Azure, or GCP – including certification(s) in one or more platforms. Experience with containerization and orchestration (Docker, Kubernetes) for model packaging and deployment. Ability to design LLM-based systems , including hybrid models (open-source + proprietary), fine-tuning strategies, and prompt engineering. Solid understanding of security, compliance , and AI risk management in ML deployments. Preferred Skills Experience with AutoML , hyperparameter tuning, model selection, and experiment tracking. Knowledge of LLM tuning techniques : LoRA, PEFT, quantization, distillation, and RLHF. Knowledge of privacy-preserving ML techniques , federated learning, and homomorphic encryption Familiarity with zero-shot, few-shot learning , and retrieval-enhanced inference pipelines. Contributions to open-source ML tools or libraries. Experience deploying AI copilots, agents, or assistants using orchestration frameworks. What We Offer Joining QX Global Group means becoming part of a creative team where you can personally grow and contribute to our collective goals. We offer competitive salaries, comprehensive benefits, and a supportive environment that values work-life balance. Work Model Location: Ahmedabad Model: WFO Shift Timings: 12:30PM-10PM IST / 1:30PM -11PM IST Show more Show less