4205 Openai Jobs - Page 37

About the Company: Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success. Website https://www.teksystems.com/en/careers-in-india Position Summary: We are seeking a highly skilled and experienced AI/ML Engineer with 3-5 years of hands-on experience in developing and deploying advanced AI solutions, specifically focusing on Generative AI and Agentic AI. The ideal candidate will possess a strong understanding of large language models (LLMs), prompt engineering, and the principles behind building autonomous AI agents capable of reasoning, planning, and taking actions to achieve complex objectives. You will be instrumental in designing, implementing, and integrating these cutting-edge AI systems on leading cloud platforms (AWS, Azure, or GCP). Key Responsibilities: • Generative AI Development: Design, develop, and implement advanced generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) for diverse applications such as content creation, code generation, data synthesis, or other relevant domains. • Agentic AI System Design & Implementation: Architect, develop, and deploy autonomous AI agents capable of breaking down complex goals, making decisions based on context, interacting with external tools and APIs, and taking multi-step actions to achieve objectives with minimal human intervention. • Prompt Engineering & Orchestration: Master prompt engineering techniques to optimize the behavior and output of LLMs and design sophisticated orchestration mechanisms for coordinating multiple AI agents in complex workflows. • Cloud Platform Deployment: Leverage expertise in AWS, Azure, or GCP to deploy, manage, and scale Generative and Agentic AI models and pipelines. Utilize relevant cloud services (e.g., AWS SageMaker, Azure ML, Google AI Platform, Kubernetes, serverless functions, MLOps tools). • Model Training & Optimization: Train, fine-tune, and optimize generative and agentic AI models for performance, scalability, reliability, and efficiency, utilizing large datasets and advanced techniques. • Tool Integration for Agents: Integrate AI agents with various external tools, APIs, and data sources to expand their capabilities and enable them to interact with real-world systems. • Data Management for AI: Work with large and diverse datasets, including data collection, cleaning, transformation, and feature engineering, to ensure high-quality input for both generative and agentic models. This includes handling unstructured data (PDFs, HTML, audio, video) for processing. • Research & Innovation: Stay abreast of the latest advancements in Generative AI, Agentic AI, LLMs, and multi-agent systems research. Experiment with new frameworks (e.g., LangChain, AutoGen, CrewAI, LangGraph, Semantic Kernel) and identify opportunities to apply novel techniques. • MLOps & Productionization: Implement robust MLOps practices for the full lifecycle of AI models, including versioning, continuous integration/continuous delivery (CI/CD), monitoring, and automated retraining. Ensure the reliability and scalability of deployed AI systems. • Evaluation & Responsible AI: Develop and implement rigorous evaluation frameworks for assessing the performance, safety, and ethical implications of generative and agentic AI systems. Promote and adhere to principles of responsible AI development. • Collaboration & Communication: Collaborate effectively with cross-functional teams (data scientists, software engineers, product managers, business stakeholders) to translate business requirements into technical solutions and communicate complex AI concepts clearly. Required Skills & Qualifications: • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related quantitative field. • 3-5 years of hands-on experience in AI/ML engineering, with a demonstrable focus on Generative AI and/or Agentic AI projects. • Strong practical experience with Generative AI models (e.g., LLMs, Transformers, GANs, Diffusion Models) and their applications. • Hands-on experience in designing, building, and deploying autonomous AI agents or multi-agent systems, utilizing frameworks like LangChain, AutoGen, CrewAI, or LangGraph. • Proficiency in Python and strong experience with major ML frameworks such as TensorFlow, PyTorch, or Keras. • Demonstrated experience with prompt engineering techniques for optimizing LLM behavior. • Proven ability to deploy and manage AI/ML solutions on at least one major cloud platform: o AWS: Experience with services like SageMaker, EC2, Lambda, Bedrock, Open Search. o Azure: Experience with Azure Machine Learning, Azure Functions, Azure OpenAI Service. o GCP: Experience with Google AI Platform (Vertex AI), Cloud Functions. • Solid understanding of machine learning algorithms, deep learning architectures, natural language processing (NLP), and information retrieval techniques (e.g., RAG). • Familiarity with containerization technologies (Docker, Kubernetes). • Experience with MLOps principles and tools for model deployment, monitoring, and lifecycle management. • Excellent problem-solving, analytical, and critical thinking skills. • Strong verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences. Preferred Skills (Nice to Have): • Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Azure AI Search) and knowledge graphs. • Familiarity with full-stack development, including building RESTful APIs using frameworks like FastAPI, Flask, or Django. • Experience with model evaluation tools like DeepEval, FMeval, or RAGAS. • Knowledge of prompt engineering frameworks (e.g., LangChain, LlamaIndex). • Knowledge of reinforcement learning and multi-agent reinforcement learning. • Contributions to open-source AI projects or relevant publications. • Experience with data orchestration tools (e.g., Apache Airflow).

About ValGenesis ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Learn more about working for ValGenesis, the de facto standard for paperless validation in Life Sciences: https://www.youtube.com/watch?v=tASq7Ld0JsQ About the Role: ValGenesis is a leading digital validation platform provider for life sciences companies. ValGenesis suite of products are used by 30 of the top 50 global pharmaceutical and biotech companies to achieve digital transformation, total compliance and manufacturing excellence/intelligence across their product lifecycle. Responsibilities: Part of a team (BA/PO, Developers, SDETs etc) that develops enterprise software applications. Understand the business requirements and design, development/coding aspects. Participate in the complete development life cycle. Design and Implement test strategy, test plan, test cases, test automation and execution. Focus on validating the functionality, performance and reliability of AI/ML models. Evaluate various aspects of AI/ML models, including functionality, performance, accuracy, bias, robustness and safety. Track model performance, identify issues and provide regular reports on quality and reliability Craft and refine the prompts or instructions to guide, develop the Generative AI models Strive for self-excellence along with enabling success of the team/stakeholders. Requirements: 2 to 6 years of experience with enterprise software product development lifecycle/phases. Blend of software testing experience with strong knowledge of AI/ML concepts, tools, frameworks. Strong understanding of Generative AI model algorithms, training and deployment processes. Experience in evaluating model performance using metrics like Accuracy, Precision, Recall, F1-Score, Latency, Stress etc Experience in prompt engineering and assessing models for bias, fairness and ethical concerns. Experience in validating data quality and integrate throughout the model development lifecycle. Experience in crafting and refining prompts to guide Large Language Models (LLM) and Small Language Models (SLM) Experience in Python programming and tools like OpenAI, TensorFlow, PyTorch, DialogFLow etc. Experience in integrating testing processes into CI/CD pipelines. We’re on a Mission In 2005, we disrupted the life sciences industry by introducing the world’s first digital validation lifecycle management system. ValGenesis VLMS® revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation ― enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team You’ll Join Our customers’ success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanity’s quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. We’re in it to win it. We’re on a path to becoming the number one intelligent validation platform in the market, and we won’t settle for anything less than being a market leader. How We Work Our Chennai, Hyderabad and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ValGenesis is an equal-opportunity employer that makes employment decisions on the basis of merit. Our goal is to have the best-qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristics protected by local law.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and innovative AI/ML Engineer to join our team. This role focuses on designing, developing, and deploying cutting-edge solutions using Generative AI (GenAI), Large Language Models (LLMs), Machine Learning Models and Azure OpenAI Services. Primary Responsibilities Design and implement AI/ML models with a focus on GenAI, LLMs, ML models, RAG architectures Develop and fine-tune Bots (Chat/Voice) Integrate AI solutions into enterprise applications using Azure AI and App Services Collaborate with cross-functional teams to define use cases and deliver AI-powered features Develop and maintain Solid relationships with stakeholders, customers, and partners internally and externally Ensure responsible AI practices, including bias mitigation, explainability, and compliance Monitor model performance and retrain as needed to maintain accuracy and relevance Stay up to date with the latest AI and machine learning technologies and trends Conduct evaluations and assessments of new tools and technologies to ensure that the team stays at the frontier of Artificial Intelligence & Machine Contribute to internal AI/ML knowledge sharing and mentoring initiatives Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s degree in computer science/IT/Math/Statistics/Engineering, or equivalent work experience 7+ years of overall experience with 5+ years of experience in AI/ML Healthcare Industry experience Experience leading and implementing AI/ML projects with demonstrable value to the organization, from ideation to delivery and evaluation Hands-on experience with GenAI tools, LLMs (eg, GPT, LLaMA), and RAG pipelines Knowledge of ethical AI principles and responsible AI deployment strategies Solid programming skills in Python and experience with ML frameworks (eg, PyTorch, TensorFlow) Proficiency in Azure OpenAI Services, Azure Machine Learning Familiarity with prompt engineering, semantic search, and vector databases Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions Proven good conflict management and prioritization skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. #NIC

Key Responsibilities Design, develop, and deploy machine learning models for speech recognition and audio processing . Customize and fine-tune models using TensorFlow , focusing on training and evaluation pipelines. Work with OpenAIs Whisper ASR model, adapting it for specific use cases and datasets. Build robust and scalable data pipelines for preprocessing audio and text data. Collaborate with data scientists, backend engineers, and product teams to deliver ML-powered features. Optimize models for performance, accuracy, and latency in production environments. Stay up-to-date with advancements in deep learning, speech recognition, and ASR frameworks. Preferred candidate profile 5+ years of experience in Machine Learning or Deep Learning, preferably in production environments. Strong programming skills in Python and familiarity with modern Python ML libraries. Hands-on experience with TensorFlow , including custom model building and training. Familiarity with audio processing libraries (e.g., librosa, torchaudio) is a plus. Solid understanding of ML best practices, including data preprocessing, model evaluation, and deployment. Experience with tools such as Git, Docker, and cloud platforms (AWS/GCP) is a bonus. Bachelors or Master’s degree in Computer Science, Machine Learning, or a related field.

Responsibilities: * Design, develop, test & maintain backend systems using Node.JS, ExpressJS, FastAPI & Python. * Collaborate with cross-functional teams on project delivery within AWS environment. Work from home Leave encashment

Job Title: Java Developer for AI Applications Location: Jaipur, India Experience: 3+ Years Job Overview: We are seeking a skilled Java Developer to join our team to build Retrieval-Augmented Generation (RAG) chatbots leveraging OpenAI APIs as well as self-hosted large language models like LLaMa. The developer will be responsible for designing and implementing chatbot solutions that integrate AI models effectively and are deployed on Virtual Machines. This role requires a blend of strong Java backend development experience along with hands-on knowledge of AI/ML model integration and cloud/virtual environment deployment. Key Responsibilities: Design, develop, and maintain Java-based chatbot applications using RAG architecture. Integrate OpenAI APIs and/or self-hosted LLaMa models into chatbot backend services. Deploy and manage applications on Virtual Machines ensuring scalability and performance. Collaborate with AI/ML and DevOps teams to optimize chatbot accuracy and efficiency. Write clean, maintainable, and efficient code following best practices. Troubleshoot, debug, and upgrade existing chatbot applications. Document development processes, architecture, and APIs. Stay updated on emerging AI technologies to incorporate improvements. Required Skills & Qualifications: Bachelors degree in Computer Science, Engineering, or related field. 3+ years of professional experience in Java development. Strong proficiency in Java SE and experience with Java frameworks (Spring, Spring Boot). Experience integrating RESTful APIs, especially OpenAI or similar AI service APIs. Experience in building/working with E2E Java application with web UI Familiarity with NLP concepts and foundational knowledge of large language models such as LLaMa or GPT. Experience in deploying applications on Virtual Machines (Linux/Windows environments). Good understanding of JSON, HTTP, and other communication protocols used in web services. Ability to write unit and integration tests and maintain CI/CD pipelines. Strong problem-solving skills and ability to work collaboratively in a team environment. Nice to Have: Experience with containerization technologies like Docker and orchestration tools like Kubernetes. Prior exposure to self-hosted AI models and managing model inference pipelines. Knowledge of cloud platforms (AWS, Azure, or Google Cloud) for VM and application management. Experience with database technologies like MySQL, PostgreSQL, or NoSQL options. Familiarity with front-end technologies for chatbot UI integration (React, Angular). Understanding of security best practices in AI applications and API integration. Thanks & Regards Sulabh Tailang HR-Talent Acquisition Manager |Celebal Technologies |91-9448844746 Sulabh.tailang@celebaltech.com|LinkedIn-sulabhtailang |Twitter-Ersulabh Website-www.celebaltech.com

We are seeking a highly skilled and passionate Senior Solution Architect – Generative AI to join our team and lead the design and implementation of cutting-edge AI solutions. This role is ideal for a seasoned professional with extensive experience in AI/ML development and architecture, a deep understanding of generative AI technologies, and a strategic mindset to align innovations with business requirements. Responsibilities Develop and oversee architectural designs for generative AI models, frameworks, and solutions tailored to business needs Design scalable pipelines for integrating and deploying generative AI solutions in alignment with enterprise architecture Perform in-depth research to stay current on advancements in generative AI, including GPT, DALL-E, and Stable Diffusion to evaluate their applicability Collaborate with stakeholders to assess business requirements and translate them into concrete AI strategies and actionable implementation plans Lead the end-to-end development, testing, and deployment of generative AI systems, acting as a technical guide for teams Advocate for the adoption of best practices, tools, and frameworks to enhance enterprise AI capabilities Create APIs and services to integrate generative AI tools within business workflows or customer-facing platforms Work closely with data engineers and scientists to ensure high-quality data preprocessing for AI model training Implement responsible AI protocols to address governance, ethical usage, and regulatory compliance Identify and mitigate data biases, ensuring data privacy and security concerns are addressed Act as a mentor for junior AI developers and other cross-functional team members in understanding generative AI technologies Facilitate cross-disciplinary collaboration with data scientists, engineers, product managers, and business stakeholders to drive project success Benchmark emerging generative AI tools like OpenAI models, Hugging Face, and custom-built frameworks for potential integration and improvements Conduct periodic evaluations of deployed AI systems, recommending adjustments and enhancements for improved operational efficiency Requirements 15-23 years of overall IT experience with at least 5+ years of proven experience in AI/ML development or architecture roles Background in designing and implementing generative AI solutions, including areas like NLP, computer vision, or code generation Familiarity with foundational models such as GPT, BERT, and their customization for enterprise use cases Knowledge of AI/ML frameworks/tools such as TensorFlow, PyTorch, or Hugging Face models Skills in cloud platforms (AWS, Azure, Google Cloud) and container platforms like Docker or Kubernetes Proficiency in Python, R, or similar programming languages for building generative AI solutions Understanding of MLOps principles, pipeline orchestration tools (Kubeflow, Airflow), and CI/CD practices Expertise in responsible AI governance, ethical frameworks, and compliance with data privacy regulations Capability to collaborate with multidisciplinary teams to align AI strategies with organizational goals

This role is for one of Weekday's clients Min Experience: 2 years Location: Remote (India) JobType: full-time Requirements About the role We are seeking a talented Gen AI Developer with at least 2 years of experience in NLP and Generative AI development. You'll work on building and enhancing AI-driven features - chatbots, QA agents, and smarter reporting assistants - using tools like LangGraph, LangChain, OpenAI, and Hugging Face. Experience in Django-based chatbot deployment and programmatic marketing is a strong plus. Responsibilities: Design, develop, and deploy NLP and generative AI models using LangGraph, LangChain, OpenAI GPT series, and Hugging Face Transformers Integrate AI workflows to power conversational agents for campaign QA, reporting prompts, and performance recommendations Collaborate with product and data teams to embed GenAI features into AtomicAds' core platform Build and maintain chatbot solutions using Python and Django for user interactions and dashboard integrations Optimize AI pipelines for scalability, latency, reliability, and cost-efficiency Implement model monitoring and evaluation tools to ensure performance and fairness Ensure secure, compliant deployment of models and APIs Maintain clear documentation, testing strategies, and version control Requirements: Experience: Minimum 2 years in NLP and GenAI development Technical Skills: Proficient in Python, with deep experience in AI frameworks: LangGraph, LangChain, OpenAI API, Hugging Face. Hands-on experience building chatbot/service layers using Django or similar Python web frameworks AI Competency: Strong grasp of LLM architectures, prompt engineering, model fine-tuning, and evaluation Software Engineering: Demonstrated ability to write clean, modular, and testable code Collaboration and Communication: Ability to work in small teams, with clear written and verbal communication Bonus: Experience with programmatic advertising, DSPs, or marketing automation Familiarity with cloud platforms (AWS, GCP, Azure) for AI workloads Knowledge of MLOps, Docker, Kubernetes, or CI/CD pipelines

Prompt Engineer We are looking for a Prompt Engineer to join our delivery team and take ownership of prompt design, optimization, and context structuring in out Agentic AI Projects. You will work closely with data engineers, frontend/backend developers, and domain SMEs to ensure the AI produces accurate, relevant, and useful outputs in response to financial queries. Key Responsibilities: Design, develop, and iteratively improve prompts for financial query handling, chart generation, and narrative explanation. Structure context for LLM calls using metadata, schema details, cube hierarchies, and user query history. Optimize prompt formats for different use cases: summaries, comparative analysis, simulations, and forecast scenarios. Collaborate with SMEs to translate business questions into structured prompt frameworks and test sets. Build and test prompt pipelines using RAG techniques with financial datasets and document sources. Monitor LLM outputs for accuracy, completeness, and business alignment; propose corrections and enhancements. Work with the development team to integrate prompt logic into API endpoints and UI workflows.. Requirements: 2+ years of experience in prompt engineering, NLP, or working with LLMs (e.g., GPT-4, Azure OpenAI). Strong understanding of prompt composition strategies (system prompts, few-shot, chain-of-thought, etc.). Experience working with financial or business data (KPIs, variance reports, financial statements, etc.). Familiarity with tools like LangChain, Azure AI Foundry, or custom RAG implementations. Comfortable reading data schemas (Power BI datasets, OLAP cubes) and using them to craft contextual prompts. Basic knowledge of Python, JSON, and APIs. Excellent communication skills and attention to detail. Ability to collaborate cross-functionally with engineers and finance SMEs. Excellent communication skills Good to have: Experience with Azure cloud services Experience with Azure Foundry & Prompt flow Location: Bangalore

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Role We are seeking a highly skilled Program Manager with a solid technical foundation and a strong operational mindset. Should have a proven track record of driving automation, productization, and leveraging Gen AI technologies to streamline business operations. Key Qualifications: B. Tech in Computer Science Minimum of 2 years of experience in managing and optimizing heavy operations. Deep experience in automation to reduce manual intervention and improve scalability. Exposure to productization of internal tools and systems. Hands-on understanding and application of Gen AI technologies in business processes. Strong Exposure in Tech Background Key Responsibilities: - Operational Excellence & Scale: Led large-scale operational initiatives, streamlining processes for improved efficiency, adherence to SLAs, and measurable throughput gains. Automation & Process Optimization: Identified and implemented automation opportunities to reduce manual effort, enhance scalability, and ensure consistency across workflows. GenAI Integration & Enablement: Designed and deployed GenAI-driven tools, chatbots, dashboards, and frameworks to enhance decision-making, user interaction, and execution speed. Productisation of Internal Solutions: Converted internal tools into scalable, reusable products with clear documentation, enabling repeatable success across teams and geographies. Cross-functional Collaboration: Worked closely with Engineering, Product, and Business stakeholders to align goals, prioritize initiatives, and ensure timely, strategic delivery. Data-Driven Operations Management: Managed key operational levers such as demand planning, funnel metrics, and delivery tracking using data insights to drive informed decisions. Preferred Technical Skills: - Proficient in Python, SQL, APIs, and scripting for automation. Experience with AI/Gen AI platforms such as Open AI, LangChain, or similar frameworks. Familiarity with tools like Zapier, UiPath, N8N, Lovable and dash boarding tools like Power BI or Tableau. If this sounds like you, we would love to connect and explore the opportunity further. Work Location - Nxtwave Disruptive Technologies , Hyderabad (WFO) Working Days - 6 Days (Mon Sat) Shift Timings - 10 AM - 7 PM

About Dailoqa Dailoqa’s mission is to bridge human expertise and artificial intelligence to solve the challenges facing financial services. Our founding team of 20+ international leaders, including former CIOs and senior industry experts, combines extensive technical expertise with decades of real-world experience to create tailored solutions that harness the power of combined intelligence. With a focus on Financial Services clients we have deep expertise across Risk & Regulations, Retail & Institutional Banking, Capital Markets, and Wealth & Asset Management. Dailoqa has global reach in UK, Europe, Africa, India, ASEAN, and Australia. We integrate AI into business strategies to deliver tangible outcomes and set new standards for the financial services industry. Working at Dailoqa will be hard work, our environment is fluid and fast-moving and you'll be part of a community that values innovation, collaboration, and relentless curiosity. We’re looking at people who : · Are proactive, curious adaptable, and patient · Shape the company's vision and will have a direct impact on its success. · Have the opportunity for fast career growth. · Have the opportunity to participate in the upside of an ultra-growth venture. · Have fun 🙂 Don’t apply if: · You want to work on a single layer of the application. · You prefer to work on well-defined problems. · You need clear, pre-defined processes. · You prefer a relaxed and slow paced environment. Our Philosophy · Small team : Small talented teams outperform large and slow-moving companies. We avoid bureaucracy, keep meetings to a minimum and focus on creating value. · Simple where possible: We are passionate about new technology (in particular Machine Learning and AI), but we are more passionate about solving problems for our customers. We strive to find the best solution, be it cutting-edge or old-school. · Customer obsessed: We take every opportunity to talk to our customers. We obsess over their problems and work every day to make them happy. Role Brief : As a Senior AI Architect at Dailoqa, you will play a pivotal role in shaping, designing, and delivering agentic AI solutions that drive real-world business value. You will collaborate with business and technology stakeholders, lead cross-functional teams, and ensure our AI architectures are robust, scalable, and aligned with our vision of combined intelligence and financial inclusion. Job Description : Agentic AI Solution Design Collaborate with stakeholders to identify high-impact agentic AI use cases, define success metrics, and determine data requirements tailored to Financial Services clients. Architect and oversee the implementation of end-to-end agentic AI solutions aligned with Dailoqa’s strategic objectives and client needs. Leadership & Cross-Functional Collaboration Lead and mentor cross-functional teams in the development and deployment of scalable agentic AI applications and infrastructures. Work closely with business stakeholders to translate complex requirements into actionable AI architecture and technical roadmaps. Technology Evaluation & Governance Evaluate, recommend, and integrate advanced AI/ML platforms, frameworks, and technologies that enable agentic AI capabilities. Develop and enforce AI governance frameworks, best practices, and ethical standards, ensuring compliance with industry regulations and responsible AI principles. Performance Optimization & Continuous Improvement Optimize AI models for performance, scalability, and efficiency, leveraging cloud-native and distributed computing resources. Stay ahead of emerging trends in agentic AI, machine learning, and data science, applying new insights to enhance solution quality and business impact. Technical Leadership & Talent Development Provide technical leadership, mentorship, and code review for junior and peer team members. Participate in the hiring, onboarding, and development of AI talent, fostering a culture of innovation and excellence. Lead sprint planning, technical assessments, and ensure high standards in code quality and solution delivery. Required Qualifications: · 15+ years of Total experience. 8+ years in machine learning, and data science and more recent experience ( 4-5 yrs) in gen AI models applying AI to practical, comprehensive technology solutions and AI Consultancy Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns Experience in implementing GenAI, NLP, computer vision, or other AI frameworks/ technologies Tools & Technology : LLMs and implementing RAG or different prompt strategies Azure OpenAI, Off the shelf Platform native AI tools and Models Knowledge or ML pipeline orchestration tools Experienced in python; ideally working knowledge of various supporting packages Experience in REST API development, NoSQL database design, and RDBMS design and optimizations Strong experience in Data engineering and aligned Hyperscale Platforms e.g. Databricks, Synapse, Fivetran etc. Education and Others Skills · Master's or Ph.D. in Computer Science, Data Science, or related field · Extensive experience with modern AI frameworks, cloud platforms, and big data technologies · Strong background in designing and implementing AI solutions for enterprise-level applications · Proven ability to lead and mentor technical teams · Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical audiences · Deep understanding of AI ethics and responsible AI practices

We are looking for a Technical Architect who has experience designing software solutions from the ground up, making high-level decisions about each stage of the process and leading a team of engineers to create the final product. To be successful as a Technical Architect, you should be an expert problem solver with a strong understanding of the broad range of software technologies and platforms available. Top candidates will also be excellent leaders and communicators. Responsibilities Collaborate with stakeholders (Product Owners, Engineers, Clients) to define and refine software architecture aligned with product vision. Design scalable, modular, and secure system architecture using microservices and modern design patterns. Create high-level product specifications, architecture diagrams, and technical documentation. Provide architectural blueprints, guidance, and technical leadership to development teams. Build and integrate AI-driven components, including Agentic AI (AutoGen, LangGraph), RAG pipelines, and LLM capabilities (Open-source and Commercial models). Define vector-based data pipelines and integrate vector databases such as FAISS, ChromaDB, or Azure AI Search. Lead the implementation of Prompt Engineering strategies to optimize LLM outcomes. Architect and deploy scalable, secure solutions on Azure Cloud, using services like Azure Kubernetes Service (AKS), Azure Functions, Azure Storage, and Azure DevOps. Ensure robust CI/CD and DevSecOps practices in place to streamline deployments and enforce compliance. Guide the team in troubleshooting, code reviews, performance tuning, and ensuring adherence to software engineering best practices. Conduct regular technical reviews, present progress updates, and ensure timely delivery of milestones. Drive innovation and exploration of emerging technologies, particularly in the field of Generative AI and Intelligent Automation. Requirements 10+ years of hands-on software development experience, with a strong Python background. 3+ years of experience in a Software or Solution Architect role. Proven experience in designing and building production-grade solutions using microservices architecture. Strong expertise in Agentic AI frameworks (AutoGen, LangGraph, CrewAI, LangChain, etc.). Working knowledge of LLMs (Open-source like LLaMA, Mistral; Commercial like OpenAI, Azure OpenAI). Solid experience with Prompt Engineering, RAG pipelines, and Vector Database integration. Experience deploying AI/ML solutions on Azure Cloud, leveraging PaaS components and cloud-native patterns. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Knowledge of architectural patterns: event-driven, domain-driven design, CQRS, service mesh, etc. Familiarity with NLP tools, frameworks, and libraries (spaCy, Hugging Face, Transformers, etc.). Experience with Apache Airflow or other workflow orchestration tools. Strong communication and leadership skills to work cross-functionally with technical and non-technical teams.

Location: Gandhinagar, Gujarat (On-site) Experience Required: Minimum 2 Years Employment Type: Full-Time About Zignuts Technolab Zignuts Technolab Pvt. Ltd. is a leading digital product development company delivering robust and scalable solutions to global clients. With a strong focus on innovation, collaboration, and quality engineering, we build future-ready software across various industries including SaaS, AI, FinTech, and enterprise platforms. Role Overview We are seeking a Python Developer with at least 2 years of hands-on experience in Python and modern backend frameworks. You will be responsible for building scalable APIs, integrating with AI components, and contributing to backend systems for various web and AI-powered products. This is a growth-oriented opportunity suited for developers who want to expand their expertise across cloud platforms, AI integration, and high-performance architectures. Key Responsibilities Develop and maintain backend services using Python frameworks such as Django, Flask, and FastAPI. Build and consume RESTful APIs and ensure their performance, reliability, and scalability. Integrate with AI/ML models, including foundational models like GPT, Claude, Gemini, LLaMA, etc. Design and work with large-scale data processing pipelines using libraries like Pandas, NumPy, or Dask. Collaborate with frontend, QA, and DevOps teams for seamless end-to-end delivery. Write clean, modular, testable code following industry best practices. Troubleshoot, debug, and optimize backend services and queries. Deploy and manage applications on AWS, GCP, or Azure infrastructure (basic exposure expected). Maintain technical documentation and follow version control standards using Git. Required Skills and Qualifications Minimum 2 years of professional experience as a Python Developer. Good English communication skills (written and verbal). Strong problem-solving mindset and willingness to learn continuously. Proficient in Python programming, including OOP, data structures, and design patterns. Strong hands-on experience with at least one major Python framework: Django, Flask, or FastAPI. Familiarity with integrating or consuming AI/ML models (including GPT, Claude, LLaMA, etc.). Knowledge of data manipulation and analysis using Pandas, NumPy, etc. Familiar with API security, JWT authentication, rate limiting, and API testing. Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL). Understanding of frontend technologies (HTML, CSS, JavaScript) for API integration. Exposure to Linux environments and bash scripting. Knowledge of cloud services like AWS, GCP, or Azure (deployment, storage, etc.). Comfortable using Git for version control and managing codebases. Preferred (Nice-to-Have) Skills Experience integrating or consuming foundational AI models using OpenAI, Hugging Face, or similar APIs. Familiarity with Celery, RabbitMQ, or asynchronous tasks. Exposure to Docker. Contributions to open-source projects or technical blogging. Understanding of MLOps, model lifecycle, or cloud AI services. What We Offer Opportunity to work on innovative projects involving AI, data engineering, and cloud-native platforms. Learning-driven environment with access to technical mentorship and skill-building tracks. Flexible work structure and transparent team communication. How to Apply Ready to take the next step in your career? We'd love to hear from you. Apply Now! Feel free to share this post with anyone you think would be a great fit! Send your resume and any relevant GitHub/project links to: talent@zignuts.com

We are looking for a Senior Data Scientist with a strong foundation in machine learning, data analysis, and a growing expertise in LLMs and Gen AI. The ideal candidate will be passionate about uncovering insights from data, proposing impactful use cases, and building intelligent solutions that drive business value. Key Responsibilities: - Analyze structured and unstructured data to identify trends, patterns, and opportunities. - Propose and validate AI/ML use cases based on business data and stakeholder needs. - Build, evaluate, and deploy machine learning models for classification, regression, clustering, etc. - Work with LLMs and GenAI tools to prototype and integrate intelligent solutions (e.g., chatbots, summarization, content generation). - Collaborate with data engineers, product managers, and business teams to deliver end-to-end solutions. - Ensure data quality, model interpretability, and ethical AI practices. - Document experiments, share findings, and contribute to knowledge sharing within the team Required Skills & Qualifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field. - 3–4 years of hands-on experience in data science and machine learning. - Proficient in Python and ML libraries - Experience with data wrangling, feature engineering, and model evaluation. -Exposure to LLMs and GenAI tools (e.g., Hugging Face, LangChain, OpenAI APIs). - Familiarity with cloud platforms (AWS, GCP, or Azure) and version control (Git). - Strong communication and storytelling skills with a data-driven mindset. Note: Final Discussion Round will be F2F Job Type: Full-time Pay: ₹944,773.51 - ₹2,340,222.09 per year Work Location: In person

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description What you get to do in this role: As a Software Engineer in the ITAM Content Service team, your responsibilities will include Using the latest technologies to build end to end features in our Content Infrastructure by implementing scalable designs, integrating ServiceNow capabilities with cutting edge AI technologies Implement and optimize AI model services and integrate Generative AI models such as OpenAI, Gemini, and Claude LLMs into enterprise workflows Design and develop applications within the ServiceNow platform while writing clean, scalable, and reusable code by enforcing best practices (Code Reviews, Unit testing, etc.) Design and develop custom ServiceNow Service Portal widgets, pages, and applications to create intuitive user experiences. Build APIs, microservices, and user interfaces that enable seamless interaction with AI powered features Implement prompt engineering, retrieval augmented generation (RAG strategies for delivering best in class features. Learn in depth the Asset Management product and help in designing, developing & enhancing curation workflows. Work with Product Management, Application developers, Content Curators, and quality team towards defining the right ITAM content infrastructure As a member of the content Infrastructure development team, be willing to jump into firefighting on infrastructure or operational issues at short notice Qualifications To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 3+ years of experience with ServiceNow application development 2+ years of experience with JavaScript or Python Strong experience with ServiceNow Service Portal development, custom widget creation, and portal applications Proficiency in AngularJS for ServiceNow Service Portal customization and development Strong proficiency in ServiceNow scripting (JavaScript, GlideRecord, GlideAggregate) Experience with JavaScript UI frameworks and RESTful APIs Experience implementing generative AI models in enterprise workflow applications. Knowledge of data structures, algorithms, and object oriented design Strong analytical, design, and communication skills Experience with data structures, algorithms, object oriented design, design patterns, and performance/scale considerations Working knowledge of development tools (IDE, debugger, build tools, source control, ServiceNow instances, profilers) Experience with or knowledge of Agentic AI framework or NASK framework in ServiceNow AI platform is a plus Strong analytical, design, and communication skills Bachelor's or Master's degree in Computer Science or equivalent work experience This role offers the opportunity to develop expertise at the intersection of enterprise platform and artificial intelligence while delivering innovative solutions for our users. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

Location: Hyderabad & Vijayawada, India (Work from Office) Experience Required: Minimum 2 years in the AI/ML training domain Department: Learning & Development / Education & Training Company: Datavalley.ai About Datavalley.ai: Datavalley.ai is a leading AI education and research organization, committed to enabling the next generation of AI professionals. Through cutting-edge training programs, industry-aligned curriculum, and applied learning, we help learners and organizations stay ahead in the fast-evolving field of Artificial Intelligence. Role Overview We are seeking an experienced and passionate AI/ML Trainer with strong expertise in Generative AI to join our training division. The ideal candidate will be responsible for designing and delivering comprehensive training programs to college students, early professionals, and corporate learners. This role requires both technical depth and an ability to communicate complex concepts clearly and effectively. Roles & Responsibilities: Design and deliver structured AI/ML and Generative AI training programs (both online and offline formats). Teach core concepts in AI, ML, Deep Learning, and Generative AI (LLMs, GANs, VAEs, Diffusion Models, Prompt Engineering, etc.). Stay current with the latest advancements in AI/ML research, tools, and frameworks. Create assignments, assessments, and projects that reinforce learning outcomes. Customize training content to match the academic and industry background of learners. Provide mentorship and guidance to learners, supporting their projects and career goals. Collaborate with the curriculum and content teams to continuously improve training material. Conduct regular feedback sessions and performance evaluations of students. Skills Required: Minimum 2 years of hands-on experience in AI/ML training, mentoring, or instructional roles. Proven knowledge of core ML/DL algorithms and frameworks (TensorFlow, PyTorch, Scikit-learn). Experience in teaching or implementing Generative AI concepts (e.g., LLMs, Transformers, Diffusion, RLHF). Strong programming skills in Python and related data science libraries. Ability to simplify technical concepts for diverse learner backgrounds. Good communication and presentation skills. Experience with tools like Jupyter Notebooks, Google Colab, Hugging Face, and OpenAI APIs is a plus. Qualifications: We welcome applicants from all educational backgrounds who can demonstrate deep knowledge of AI/ML and strong teaching skills. Any Bachelor's or Master's degree (B.E./B.Tech/M.Tech/B.Sc/M.Sc/BCA/MCA/MBA or equivalent). What matters most is your experience, clarity of concepts, and passion for teaching AI/ML and Generative AI. Certifications in AI/ML, Deep Learning, or GenAI (from Coursera, edX, Udacity, or similar) will be considered an added advantage. What We Offer Opportunity to work with a visionary team building India’s AI talent pipeline. Access to cutting-edge tools, curriculum, and research resources. Flexibility to design and shape innovative learning experiences. Career growth in one of the fastest growing sectors in technology. Additional Notes Trainers must be open to visiting partner colleges or institutions across Specified location(Telangana and Andhra Pradesh) to deliver on-campus training, seminars, and workshops as needed. Travel expenses and logistics will be supported by the company for such engagements. How to Apply Send your resume and a brief cover letter to artishukla@datavalley.a i with the subject: “Application for AI/ML Trainer – Generative AI Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹40,000.00 per month Schedule: Day shift Work Location: In person

About the Role: Grade Level (for internal use): 09 Job Title: Python Developer The Team: Join our innovative and collaborative team at S&P Global's IT - Enterprise Technology department. We pride ourselves on fostering a culture that values excellence, teamwork, and continuous learning. Our team is dedicated to pushing the boundaries of AI technology and delivering impactful solutions that drive business success. Job Description: We are seeking a motivated and talented AI/Software Engineer to join our team and assist with GenAI projects. This is an excellent opportunity for someone looking to gain hands-on experience in cutting-edge AI technologies and cloud solutions while actively contributing to team goals and initiatives. Responsibilities and Impact: Assist in the development and implementation of traditional AI & GenAI projects, supporting the advancement of AI capabilities within the organization. Write proficient code in Python to support AI initiatives. Collaborate with team members to design and implement cloud-based solutions, actively participating in team goals. Deploy and manage code using GIT, ensuring proper integration and version control. Participate in code reviews and contribute to maintaining coding standards, fostering a culture of excellence. Troubleshoot and debug issues related to code and cloud infrastructure ensuring system reliability. Document processes, code changes, and project updates for knowledge sharing and transparency. Provide guidance and support to colleagues, contributing to the team's success. What We’re Looking For: Basic Required Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience. Minimum 3-5 years of experience in software engineering/data science roles. Strong programming skills in Python. Basic understanding of ML algorithms and NLP. Familiarity with cloud platforms, preferably AWS. Experience with version control systems, such as GIT. Understanding of CI/CD pipelines and DevOps practices Knowledge of containerization platform. Good problem-solving skills and attention to detail. Passionate about learning new technologies and approaches as they emerge. Strong communication and teamwork skills, with a focus on collaboration. Additional Preferred Qualifications: Advanced degree in Computer Science, Engineering, or a related field. Experience with Prompting Engineering using OpenAI, Claude models. Exposure to AI frameworks such as OpenAI, Langchain, LamaIndex. Knowledge of containerization technologies like containerization platform. Completed projects using open/closed source Gen AI models is a plus. Benefits: Gain hands-on experience with GenAI projects and cloud technologies. Work in a collaborative and innovative environment. Opportunity to learn from experienced professionals in the field. Access to professional development opportunities, encouraging personal growth and leadership skills. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit www.spglobal.com/marketintelligence . What’s In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 311894 Posted On: 2025-07-23 Location: Hyderabad, Telangana, India

Technical Leadership ∙Mentor junior developers and designers through project execution ∙Review and guide implementation of backend systems (Node.js, NestJS, PostgreSQL) ∙Oversee frontend delivery (React, Next.js, Tailwind CSS) ∙Ensure Figma designs are translated into pixel-perfect, responsive UIs ∙Implement clean, scalable, and maintainable code Required Skills & Experience ∙ 5+ years of hands-on development experience ∙Proven experience in: o Frontend : React, Next.js, TypeScript, Tailwind CSS - - Backend : Node.js, NestJS, PostgreSQL CMS Platforms : WordPress, Shopify, Webflow, Wix (must) ∙Familiarity with AI/LLM tools like OpenAI/ChatGPT ∙Strong understanding of REST & GraphQL APIs ∙Solid experience with GitHub, Docker, AWS, Vercel ∙Team leadership and project management skills Qualifications ∙ Bachelor’s degree in Computer Science, IT, or related field ∙Excellent spoken and written English — must be confident in live client meetings ∙Strong client-facing experience. ∙Ability to create proposals, explain technical concepts, and close deals. ∙Detail-oriented with the ability to manage timelines and multiple projects Job Type: Full-time Pay: ₹35,000.00 - ₹45,000.00 per month Benefits: Provident Fund Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Education: Master's (Preferred) Language: English (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

Job Description: We are hiring an AI Engineer to join our cutting-edge team at BotPenguin , where we build smart, conversational, and AI-first solutions. If you're passionate about LLMs , NLP , and building intelligent systems that make a difference, this role is for you! You will work with large language models (LLMs), build NLP pipelines, deploy ML models, and collaborate across teams to develop AI-powered chatbots and virtual agents that enhance customer experience at scale. Key Responsibilities: Build and optimize AI-powered chatbots and virtual agents using LLMs and NLP. Design and deploy scalable machine learning models using Docker/Kubernetes or AWS/GCP. Integrate LLM APIs (e.g., OpenAI, Claude, LLaMA) and implement Retrieval-Augmented Generation (RAG) . Work with vector databases like FAISS, Pinecone, or Elastic Vector DB. Conduct model performance tuning, prompt testing, and AI debugging. Collaborate with Product, Backend, and UI teams to integrate AI solutions. Explore research papers and open-source innovations for rapid experimentation. Write clean, testable, and well-documented code. Guide and review code from junior developers. Required Skills & Qualifications: Education: Bachelor's or Master’s degree in Computer Science, AI, ML, or related fields. Experience: 2–5 years in AI/ML or software engineering roles. Technical Skills: Python, PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers NLP: Intent classification, text generation, summarization LLMs: OpenAI, Claude, LLaMA Vector DBs: Pinecone, FAISS, Elastic Vector DB Prompt engineering, RAG, embeddings ML deployment with Docker, Kubernetes, AWS, or GCP GitLab/GitHub, Agile development Soft Skills: Strong analytical and problem-solving skills Passion for research and innovation Effective communication and cross-team collaboration High attention to model performance, accuracy, and scalability Mandatory Certification: While certification is not strictly required, having one or more of the following is a plus : TensorFlow Developer Certificate Hugging Face LLM Certification AWS Machine Learning Specialty Job Type: Full-time Pay: ₹60,000.00 - ₹100,000.00 per month Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you available to join immediately or within one week? Education: Bachelor's (Required) Experience: AI Engineer: 5 years (Required) Work Location: In person

We are looking for a highly motivated GenAI Engineer with strong hands-on experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) workflows, and production-ready AI applications. You’ll help design, build, and extend digital products and creative applications that leverage the latest in LLM technologies. You will play a lead role in product development & offering AI services to clients, client onboarding, and delivery of cutting-edge AI solutions, working with a range of modern AI tools, cloud services, and frameworks. Experience: 2 + Years Location: Mohali, Punjab Work Mode: On-site Timings: 10:00 AM – 7:00 PM (Day Shift) Interview Mode: Face-to-Face ( On-Site) Contact: +91-9872993778 (Mon–Fri, 11 AM – 6 PM) Key Responsibilities: Design and implement generative AI solutions using large language models (LLMs), natural language processing (NLP), and computer vision. Develop, enhance, and scale digital products leveraging LLMs at their core. Lead product development and operations teams to implement GenAI-based solutions. Design and manage client onboarding, rollout, and adoption strategies. Deliver and maintain enhancements based on client-specific needs. Build and maintain RAG pipelines and LLM-based workflows for enterprise applications. Manage LLMOps processes across the entire AI lifecycle (prompt design, fine-tuning, evaluation). Work with cloud-based GenAI platforms (primarily Azure OpenAI, but also Google, AWS, etc.). Implement API integrations, orchestration, and workflow automation. Evaluate, fine-tune, and monitor performance of LLM outputs using observability tools. Required Qualifications: Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field — or equivalent hands-on experience. Minimum 2 years of hands-on experience in software development or applied machine learning. Proficiency in Azure AI services, including: Azure OpenAI (GPT-4, Codex, etc.) Azure Cognitive Services Azure Machine Learning for model development and deployment Proven experience with LLM APIs (OpenAI, Azure OpenAI, Gemini, Claude, etc.). Solid hands-on experience in building and deploying RAG pipelines. Proficiency in Python and strong knowledge of Python ecosystems and libraries. Familiarity with core GenAI frameworks: LangChain, LangGraph, LiteLLM, LlamaIndex, etc. Experience with vector databases: FAISS, Milvus, Azure AI Search, AWS Kendra, etc. Practical knowledge of embeddings, model registries (e.g., Hugging Face), and LLM APIs. Experience in prompt engineering, tool/function calling, and structured outputs (Pydantic/JSON Schema). Exposure to LLM observability tools: LangSmith, LangFuse, Opik, etc. Strong Git, API, and cloud platform (AWS, GCP, Azure) experience. Job Type: Full-time Pay: ₹25,000.00 - ₹40,000.00 per month Schedule: Day shift Monday to Friday Experience: Gen AI Engineer: 2 years (Preferred) Work Location: In person

Key Responsibilities: Design and develop automation workflows using n8n Integrate APIs (REST, GraphQL, JSON) with platforms like OpenAI, Slack, Google Sheets, and Notion Create data pipelines for tasks such as web scraping, email extraction, and validation Automate repetitive business operations using AI tools like ChatGPT and Whisper Troubleshoot and improve the performance of automation workflows Work closely with product, marketing, and data teams to streamline internal processes Preferred Skills: Practical experience with n8n or similar automation tools like Zapier or Make Good understanding of APIs, webhooks, and data formats such as JSON and CSV Familiarity with tools like OpenAI API, Google Sheets, Notion, and ScrapingBee Basic knowledge of JavaScript or Python is an advantage Strong analytical and problem-solving skills Willingness to learn and explore new AI and automation tools Eligibility: Final-year students or recent graduates in Computer Science, AI, IT, or similar fields Should be available for a minimum of 3 months Experience with automation projects is a plus (share GitHub or portfolio if available) Job Type: Full-time Pay: From ₹10,000.00 per month Work Location: In person