4225 Openai Jobs - Page 42

At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge. Job Overview Are you a knowledgeable ML/AI professional or instructor with a creative flair and a passion for content design? Join us to create impactful, learner-centered content that blends real-world expertise with engaging storytelling. As a Content Contributor, you will work with the curriculum team to create engaging, instructionally sound learning experiences in the Machine Learning and AI domain. Working with subject matter experts (SMEs), you’ll translate complex frameworks into clear, outcome-focused content across digital formats. This role demands instructional design expertise, a deep understanding of learner needs, and the ability to creatively script and plan high-impact learning assets—from video courses to assessments. Job Responsibilities Design creative and effective learning experiences grounded in instructional design principles, addressing diverse learner personas and real-world scenarios. Author and script engaging digital content, including on-demand videos, interactive walkthroughs/lessons, assessments, and job aids. Collaborate with visual designers, editors, and technical experts to bring content to life in a compelling and accessible format. Utilize Generative AI tools to accelerate and enhance content ideation, scripting, and personalization. Ensure instructional consistency, voice, and quality across all course deliverables and formats. Skills Required Excellent scripting, writing, and communication skills; able to distil complex concepts into concise, engaging narratives. Strong creativity and storytelling ability with an understanding of how to structure content for different learning styles. Fluency with and experience in programming such as Python and SQL. Fluency and experience with AI/ML libraries such as NumPy, Pandas, Sci-kit Learn, HuggingFace, and Langchain. Experience working with AI/ML technology and topics such as Agents, LLMs, OpenAI, Claude, Gemini, Copilot, and Deep Learning. Preferred/Additional Skills Relevant certifications in AI. Familiarity with Generative AI tools like ChatGPT, Claude, or similar for content creation and enhancement. Understanding of instructional design models such as ADDIE, SAM, or Bloom’s Taxonomy. More About Skillsoft Skillsoft delivers online learning, training, and talent solutions to help organizations unleash their edge . Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets – their people – and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology & Development, Digital Transformation, and Compliance. Skillsoft is partner to thousands of leading global organizations, including many Fortune 500 companies. The company features three award-winning systems that support learning, performance and success: Skillsoft learning content, the Percipio intelligent learning experience platform, which offers measurable impact across the entire employee lifecycle. Learn more at www.skillsoft.com. Thank you for taking the time to learn more about us. If this opportunity intrigues you, we would love for you to apply! NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means. Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. For more information, visit www.exlservice.com. Job Summary: We are looking for a results-driven Data Scientist with a strong foundation in SQL and Python , coupled with hands-on experience in AI/ML and exposure to Generative AI (GenAI) technologies. The ideal candidate will work on developing predictive models, building data pipelines, and experimenting with GenAI tools to solve business challenges and enhance decision-making. Key Responsibilities: Design and implement AI/ML models for a variety of business use cases, including prediction, classification, clustering, and personalization. Extract, clean, and manipulate large datasets using SQL and Python for model development and analysis. Apply and experiment with Generative AI techniques (e.g., LLMs, text generation, summarization, prompt engineering) for emerging business needs. Build scalable data pipelines and automate data workflows. Work collaboratively with cross-functional teams to define project goals and deliver actionable insights. Communicate analytical results and technical concepts to both technical and non-technical stakeholders. Stay current with advancements in AI/ML and GenAI technologies and frameworks. Required Skills: Strong programming skills in Python with experience in libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch . Proficiency in SQL for data extraction, joins, and optimization. Solid understanding of machine learning algorithms and data science best practices. Experience handling structured and unstructured data. Exposure to Generative AI tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain). Familiarity with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.

Who WeAre At AI Accountant (AIA), we’re a high-growth fintech startup on a mission to revolutionize how modern businesses manage their finances. Backed by leading investors and powered by a passionate team, we're combining automation and intelligence to build the financial co-pilot for tomorrow’s companies. What We Do AI Accountant provides a full-stack spend and finance management platform that simplifies vendor payments, expense tracking, and compliance. Our platform is built AI-first —leveraging the latest advancements in LLMs, agentic workflows, and retrieval augmented generation (RAG) to empower finance teams with superpowers. Our Vision To build the most trusted and intelligent financial operating system for businesses in emerging markets — one that thinks, learns, and grows with your company. Job Summary As an AI Engineer Intern, you’ll work closely with our product and engineering teams to explore, build, and test AI-powered systems. This role is ideal for someone early in their AI journey but deeply excited about large language models, generative AI, and real-world applications. If you’ve built side projects, participated in hackathons, or explored AI through coursework or self-learning — we’d love to hear from you! What Will You Do? Collaborate with the team to build and improve AI features using LLMs like GPT. Contribute to agentic workflows and retrieval-based systems (RAG). Assist in building evaluation systems to measure how well our models perform. Help train and fine-tune models based on internal use cases. Build POCs for use cases using Agents. Research new GenAI tools and suggest how we can apply them in our platform. Learn how AI models are integrated into real-world software products. What We’re Looking For Strong interest in AI/ML and Generative AI — coursework, personal projects, or open-source contributions are great. Basic proficiency in Python and comfort using libraries like pandas, scikit-learn, or transformers. Some working knowledge about LLMs, vector databases, prompt engineering, and related tools. Ability to work independently and ask questions when stuck — we value curiosity. Bonus: Exposure to tools like OpenAI API, LangChain, Pinecone, or any chatbot building experience. Available for a full-time internship (6 months) based in Bangalore. Why Join AI Accountant? Learn from the best – Work alongside experienced AI engineers, product thinkers, and founders. Work on frontier tech – Gain exposure to LLMs, agentic workflows, and realtime systems. Grow fast – Hands-on experience with the potential for a full-time offer based on performance. Real impact – Contribute to meaningful projects used by real businesses. Collaborative culture – Ask questions, share ideas, and build together. Ready to launch your AI journey with us? If you're excited about generative AI, solving real problems, and learning by building — this internship is for you. Apply now and let's build the future of fintech together Note: This is a paid internship.Skills: pandas,pinecone,vector databases,scikit-learn,ai/ml,openai api,llms,langchain,python,llm,transformers,fintech,generative ai,prompt engineering,retrieval augmented generation (rag)

JD: As an Automation Tester, the candidate will be responsible for developing and executing automated test scripts using Python and the Robot Framework. Candidate will integrate AI technologies to enhance QA processes, ensuring robust and efficient testing methodologies. His/her expertise in AI tools and platforms like Copilot and Cursor will be pivotal in optimizing our testing strategies. Required Skills 1.Integrate AI technologies, including LLMs such as OpenAI's GPT(GPT-3,GPT-4),GitHub Copilot, Anthropic's Claude ,CodeGen into testing processes to enhance efficiency and accuracy. 2.Utilize LLMs to generate test cases, automate documentation, and assist in exploratory testing by predicting potential failure points. 3.Enhance test scripts and processes with AI capabilities to predict and prevent potential failures. Technical Expertise: 4.Stay updated on emerging AI technologies relevant to testing (e.g., Copilot, Cursor). 5.Provide guidance and support on the use of AI tools to improve testing practices. 6.Develop and document automation strategies, tools, processes, and best practices using Python with Robot Framework.

4+ years of experience in AI and machine learning Expertise in Python: Demonstrable experience with Python, including its data science and AI libraries such as TensorFlow, PyTorch, spaCy, and GPT (OpenAI). Familiarity with other programming languages such as Java or C++ is a plus. Azure OpenAI and Cloud Services: Hands-on experience with Azure OpenAI services, and a good understanding of other Azure services such as Azure Machine Learning, Azure Functions, and Azure Logic Apps for integrating AI capabilities. LLM and NLP Techniques: Deep understanding of Natural Language Processing (NLP) techniques, including tokenization, sentiment analysis, entity recognition, and especially the mechanics and applications of Large Language Models (LLMs). Creative Prompt Design: Ability to craft and refine prompts that effectively guide LLMs in producing desired textual outputs. This includes understanding different prompt types, such as zero-shot, few-shot, and chain-of-thought prompting. Strong programming skills in Python and familiarity with AI development tools and libraries. Should have hands-on experience in deploying at least one end to end GenAI project Knowledge of AI model training, fine-tuning, and deployment processes Excellent problem-solving and analytical skills Effective communication and interpersonal skills

Join our Team About this opportunity: We are seeking an experienced Senior Backend Engineer to join our Intelligent Automation and AI engineering team. This role is critical to driving the development of scalable backend systems that enable the enterprise-wide adoption of Generative AI solutions. The ideal candidate will bring strong technical expertise in API orchestration, data engineering, and memory optimization, coupled with a passion for operationalizing AI at scale across business functions. As a key member, you will design and build backend frameworks that power intelligent agents, streamline workflows, and unlock value for diverse business units. What you will do: Architect and develop robust backend systems to enable enterprise AI solutions across finance, operations, HR, and customer support functions. Design and implement data preprocessing and chunking pipelines to ensure efficient use of Large Language Models (LLMs) and cost optimization. Integrate vector databases and relational databases to support hybrid memory architectures for AI agents. Develop API orchestration layers leveraging e.g. LangChain, FastAPI/Django, and enterprise-grade middleware tools. Collaborate with business domain leaders to understand functional requirements and design domain-aware memory strategies for AI-powered workflows. Implement caching, validation, and summarization strategies to deliver accurate, cost-effective, and scalable AI solutions. Ensure secure, reliable integration of AI systems with internal enterprise platforms via REST/SOAP APIs. Document architectural blueprints, technical specifications, and operational workflows for enterprise-wide adoption. Stay ahead of trends in Generative AI and backend engineering to support enterprise transformation objectives. The skills you bring: 8-10 Years of experience. Technical Expertise: Proven experience designing and delivering backend solutions for AI/ML applications at scale. Python Proficiency: Strong hands-on skills with Python (Pandas, Numpy) for data engineering and validation workflows. API Orchestration: Expertise in developing and managing APIs (FastAPI, Django) and orchestrating workflows. Data Management: Experience with vector databases and relational databases LLM Integration: Working knowledge of cloud-based LLM APIs (Claude, OpenAI, Hugging Face) and memory optimization techniques. Enterprise Mindset: Ability to work within large, complex organizations, balancing innovation with operational stability and security requirements. Collaboration: Strong interpersonal skills to work with cross-functional business and IT teams in a transformation context. Preferred: Exposure to agentic AI architectures and designing token-efficient AI workflows for enterprise use cases. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Gurgaon Req ID: 769360

About the Role We are seeking a dynamic and experienced Manager – AI to lead the design, development, and deployment of next-generation AI solutions, with a strong focus on Generative AI , Natural Language Processing (NLP) , and Machine Learning (ML) within the pharmaceutical industry. As an AI Manager, you will guide a team of engineers and data scientists, drive project execution, and collaborate closely with product and domain teams. You will be responsible for architecting production-grade systems, mentoring technical talent, and spearheading innovation through applied GenAI. This role combines strategic leadership, technical depth, and hands-on execution—ideal for a candidate passionate about operationalizing cutting-edge AI technologies for real-world impact in life sciences. Key Responsibilities Lead and manage the end-to-end lifecycle of AI/GenAI projects, from scoping and architecture to development, testing, deployment, and optimization. Guide the development of intelligent agents , LLM-powered chatbots , and voice-enabled systems tailored to pharmaceutical and enterprise use cases. Architect context-aware GenAI solutions using RAG (Retrieval-Augmented Generation), embeddings, vector databases, and multimodal models. Oversee fine-tuning of LLMs (e.g., GPT, Claude, LLaMA, Mistral, Phi 4) and drive responsible AI evaluation practices (e.g., hallucination mitigation, prompt robustness). Collaborate with cross-functional stakeholders including product owners, regulatory teams, and business leads to align AI solutions with strategic goals. Lead and mentor a team of AI/ML engineers and researchers, fostering technical growth and high performance. Stay current with emerging trends in GenAI, open-source models, agent frameworks, and voice tech; translate advancements into practical applications. Ensure projects adhere to regulatory , compliance , and data governance standards , particularly in a GxP or HIPAA-compliant environment. Drive innovation culture by piloting proofs-of-concept and scaling successful initiatives across the organization. Requirements Minimum 6+ years of experience in AI/ML/NLP, including at least 3 years in GenAI technologies and team leadership or technical program management. Deep expertise in LLMs/SLMs , including prompt engineering, fine-tuning, and building production-ready GenAI applications. Experience with RAG pipelines , vector search (FAISS, Pinecone, Weaviate), and embedding models. Strong coding skills in Python and experience with frameworks like Hugging Face, LangChain, LanGraph, OpenAI/Anthropic SDKs. Experience with API development , MLOps , and deploying models using containers or cloud-native tools. Proven ability to lead cross-functional teams and translate business needs into scalable AI systems. Strong analytical thinking, problem-solving, and architectural design capabilities. Nice to Have Experience building or integrating voice assistants , speech-to-text APIs , or multimodal GenAI interfaces . Familiarity with agent frameworks (e.g., CrewAI, AutoGen, LangGraph) for autonomous AI workflows. Understanding of regulatory frameworks in life sciences (GxP, HIPAA, GDPR, etc.). Prior exposure to enterprise IT systems in the pharmaceutical or healthcare domain. Educational Qualifications Bachelor’s in Engineering (B.E./B.Tech.) or Master’s in Computer Applications/Technology (MCA/M.Tech.). Certifications or specialization in AI/ML/Data Science are highly desirable. Benefits We Offer Free in-house gym for employee wellness. Exposure to high-impact projects Inclusive, innovation-driven culture with opportunities for career growth and leadership.

Job Description Some careers shine brighter than others. If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of Consultant Specialist. In this role, you will: Act as a senior technical developer in the AI ML pod covering DCOO, procurement and supporting other CET functions Deliver initiatives and book of work including: Design, development and implementation of AI/ML initiatives and proof of concepts Coach other developers in AI ML technologies Develop new approaches and technical solutions based on use cases from across CET Build strong relationships with vendors to ensure high performance and robust/resilient service delivery Cultivate an environment that supports diversity and reflects the HSBC brand and values. Remain current on AI, ML, data, digital and emerging trends affecting the Financial Services industry Coach team members and developers in AI ML Engage with business stakeholders across corporate function to deliver tangible results from AI initiatives Requirements To be successful in this role, you should meet the following requirements: An experienced technical developer with a track record of on time hand on delivery of code, documentation and innovation. Knowledge of CET data assets and use cases. Strong data and integration experience and an understanding of APIs. Track record of DevOps and Agile adoption and optimisation. Excellent written skills with ability to express complex topics and problems effectively. Proven experience of delivering ML and AI initiatives to completion Experience of Python, Java, OpenAI or other LLMs, AI ambassador course, TensorFlow, understanding the inner workings of LLMs, how to tune RAG/chunking/LLMs Experience of key CET and HSBC systems such as ServiceNow desirable Experience of cloud platforms such as GCP and AWS desirable Ability to coach and mentor developers You’ll achieve more when you join HSBC. www.hsbc.com/careers HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued by – HSDI

Full Stack Developer (React + AI Tools Development) for Chandigarh with Experience of 3+ years We are a forward-thinking company building AI-driven tools and solutions that empower businesses to work smarter. We’re looking for a talented Full Stack Developer to join our team and play a key role in designing and developing our AI-based applications and platforms. What You’ll Do Design, build, and maintain robust frontend applications using React JS with a focus on high performance and seamless user experience. Architect and implement backend systems including databases (schema design, optimization) and server-side logic. Design and integrate RESTful and GraphQL APIs for our AI tools and other applications. Collaborate closely with the product and AI teams to translate AI-driven features into functional software solutions. Contribute to system architecture , ensuring scalability, security, and maintainability of AI solutions. Participate in code reviews, testing, and deployment processes to ensure quality and reliability. Stay up-to-date with the latest AI toolkits, APIs, and frameworks and help integrate them into our solutions. Must-Have Skills 3+ years of experience in Full Stack Development Strong expertise in React JS for frontend development Solid understanding of database design (SQL / NoSQL) and schema architecture Experience designing RESTful APIs / GraphQL APIs and integrating third-party APIs Ability to contribute to system architecture design and backend logic Comfort with source control (Git), CI/CD workflows, and agile development Bonus / Nice-to-Have Exposure to AI tools, APIs, or libraries (e.g. OpenAI, LangChain, HuggingFace, vector databases, RAG architecture) Experience with cloud platforms (AWS / GCP / Azure) Familiarity with prompt engineering , AI integrations, or chatbot frameworks Knowledge of TypeScript What We Offer Opportunity to work on innovative AI-driven products Collaborative and supportive team culture Competitive compensation  How to Apply If you’re passionate about full stack development and excited about building AI-powered solutions, we’d love to hear from you.

The AI Engineer with GenAI expertise is responsible for developing advanced technical solutions, integrating cutting-edge generative AI technologies. This role requires a deep understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the "Ideation to MVP" journey, demonstrating proficiency in leading projects and ensuring delivery excellence. Key Responsibilities : Technical & Engineering Leadership : - Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability. - Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments. - Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. - Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (i.e., Kubernetes/CNCF) and partner technologies. - Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Mandatory Skills & Experience. : - A passionate developer with 7+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team. - Extensive experience in software development, with significant exposure to AI/ML technologies. - Expertise in GenAI frameworks : Proficient in using GenAI frameworks and libraries such as LangChain, OpenAI API, and Hugging Face Transformers. - Prompt engineering : Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance. - Strong understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. - Proven experience developing complex solutions that leverage cloud-native technologies-featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering. - Exemplary verbal and written communication skills (English). - Positive and solution-oriented mindset. - Solid experience delivering Agile and Scrum projects in a Jira-based project management environment. - Proven leadership skills and the ability to lead projects to ensure delivery excellence. Desired Skills & Experience : - Machine Learning Operations (MLOps) : Experience in deploying, monitoring, and maintaining AI models in production environments using MLOps practices. - Data engineering for AI : Skilled in data preprocessing, feature engineering, and creating pipelines to feed AI models with high-quality data. - AI model fine-tuning : Proficiency in fine-tuning pre-trained models on specific datasets to improve performance for specialized tasks. AI ethics and bias mitigation : - Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models. Knowledgeable about vector databases, LLMs, and SMLs, and integrating with such models. - Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e., Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE). - Deep understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design, and familiarity with the CNCF open-source community. - Recognized with multiple cloud and technical certifications at a professional level, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat. Verifiable Certification : At least one recognized cloud professional / developer certification (AWS/Google/Microsoft).

🔍 Job Title: AI Associate Location: Coimbatore Job Type: Full Time Salary: Rs.25,000 per month 💼 About the Role: We are looking for a passionate and self-driven AI Associate to join our dynamic core IT product team. This role is ideal for individuals with a strong interest in building and training Large Language Models (LLMs), contributing to the development of proprietary AI solutions, and taking ownership of end-to-end system development. 🧠 What You’ll Do: Collaborate with the core product team to design, build, and refine custom LLMs and SLM-based systems. Contribute to the entire AI lifecycle, from ideation to deployment and post-production performance tracking. Stay up to date on the latest developments in AI/ML, LLMs, and SLMs, and apply emerging trends to real-world use cases. Participate in hackathons and internal innovation sprints to prototype and validate new AI ideas. Work closely with engineers and product managers to ensure seamless integration of AI components into the system architecture. Document experiments, findings, and improvements to contribute to the team's growing AI knowledge base. ✅ Requirements: Strong foundational knowledge in machine learning, deep learning, and NLP. Experience with LLMs (e.g., OpenAI, Meta’s LLaMA, Google’s PaLM) or a strong passion to build your own. Familiarity with programming languages such as Python and tools like TensorFlow, PyTorch, or Hugging Face. Eagerness to explore SLMs and implement cutting-edge lightweight AI models. Participation in hackathons, research projects, or open-source AI contributions is highly valued. Passion for continuous learning, curiosity, and a growth mindset. 🌟 Bonus Skills (Good to Have): If you're enthusiastic about participating in hackathons, eager to stay ahead of AI trends—especially in Small Language Models (SLMs)—and are ready to innovate at the intersection of research and product, we want to hear from you. Knowledge of cloud platforms (AWS, Azure, GCP) Experience with data pipeline tools and MLOps frameworks Familiarity with version control tools (Git) 🎓 Eligibility: Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

About Us: We are a team of adventurous, creative, and open-minded individuals who are passionate about technology. We live, breathe, and build on the cloud. We're currently seeking enthusiastic Full Stack Developers who are eager to learn, code, and adapt across a variety of technology projects. Key Responsibilities: Develop, test, and maintain web applications with rich features using PHP/Python , JavaScript , HTML , and CSS . Create back-end components using frameworks such as Laravel , Symfony , Django , or Flask . Work closely with cross-functional teams to define, design, and launch new features. Design and build intuitive front-end interfaces using modern frameworks like React , Angular , or Vue.js . Write clean, scalable code while integrating RESTful APIs and third-party services. Troubleshoot, debug, and enhance existing systems. Ensure the performance, responsiveness, and compatibility of applications across browsers. Apply responsive design principles to deliver mobile-optimized user experiences. Optimize web applications for high speed and scalability. Take part in code reviews and help maintain high standards in code quality and consistency. Required Qualifications: A Bachelor’s degree in Computer Science , Information Technology , or a related discipline. Strong coding abilities and understanding of server-side technologies such as Node.js , Python , PHP , or Java . Solid knowledge of PHP and its frameworks (e.g., Laravel , CodeIgniter ). Strong familiarity with Python and its frameworks (e.g., Django , Flask ). Proficient in HTML , CSS , JavaScript , and at least one JavaScript framework/library such as React or Angular . Awareness of AI , OpenAI APIs , LLMs , and similar AI/ML/NLP tools is an added advantage. Good understanding of SQL / NoSQL databases such as MySQL , PostgreSQL , and MongoDB . Familiarity with cloud platforms like AWS or GCP , and basic DevOps principles. A problem-solving mindset with a strong desire to learn emerging technologies. Effective communication skills and the ability to work efficiently in a fast-paced team environment. Qualifications : - Bachelor’s or Master’s degree in Computer Science, Engineering , or a related field (or equivalent work experience). Job Type: Full-time Schedule: Monday to Friday Job Location: Technopark, Trivandrum, Kerala Notice period -Immediate Joiner Preferred For Detailed Job Description Click Here : https://drive.google.com/file/d/1P6o8rHegtL0uia5yZNfC_lPhbY2fTHpm/view?usp=sharing Note : Shortlisted candidates shall be contacted via email and screened through Machine task , communication /Aptitude tasks. Job Type: Full-time Benefits: Cell phone reimbursement Flexible schedule Health insurance Leave encashment Paid sick time Paid time off Work Location: In person Application Deadline: 14/08/2025

FinDocGPT Internship Opportunity – AI/ML & GenAI Developer Intern Company : ArgyleEnigma Tech Labs Product : FinDocGPT – India’s first AI-powered assistant that decodes complex financial documents in simple, regional language Stipend : ₹8,000 – ₹12,000/month Duration : 6 months Start Date : Immediate About Us At FinDocGPT, we are building a revolutionary product that empowers millions of Indians to understand financial documents like health insurance, loans, and mutual fund T&Cs in their own language – using cutting-edge AI/ML and GenAI technologies . We’re backed by Google for Startups, supported by Reserve Bank Innovation Hub and on a mission to bridge the financial literacy gap in India. Intern Role – AI/ML & Generative AI Developer We are looking for highly motivated interns who want to gain hands-on experience in deploying GenAI models, NLP pipelines, and ML-based document processing. Responsibilities Work on document classification , NER , and summarization using LLMs like LLaMA, Mistral, Groq, and open-source models. Fine-tune or use APIs like LangChain, HuggingFace, OpenAI, and Google Vertex AI Preprocess, clean, and structure financial documents (PDFs, scans, emails, etc.) Implement prompt engineering & RAG-based workflows Collaborate with product & design to build smart, user-friendly interfaces Requirements Strong understanding of Python , NLP , and basic ML concepts Familiarity with transformers, BERT, T5, or GPT architectures Experience (even academic) with HuggingFace , LangChain , or LLM APIs Bonus: Exposure to Google Cloud, AWS , or Docker Hunger to learn, experiment fast, and make real impact What You’ll Gain Direct mentorship from industry experts (ex-Morgan Stanley, PIMCO, Google) Real-world exposure to India-first AI use cases Opportunity to convert into full-time role based on performance Work that will directly impact financial inclusion in India How to Apply? Send your CV, GitHub/portfolio, and 2–3 lines on why you want this role to info@arglyeenigma.com or https://tinyurl.com/hr-aetl with subject: “Internship Application – FinDocGPT” Job Type: Internship Contract length: 6 months Pay: ₹8,000.00 - ₹12,000.00 per month Ability to commute/relocate: Gandhinagar, Gujarat: Reliably commute or planning to relocate before starting work (Required) Work Location: In person Expected Start Date: 01/08/2025

🧠 About the Role We’re looking for a passionate Generative AI Engineer with strong Python skills who can work independently, communicate effectively, and bring ideas to life. You’ll be part of a growing team that’s building cutting-edge AI solutions with real-world applications. If you enjoy solving tough problems with AI and want to grow in a fast-paced, innovation-first environment, we want to hear from you. 🏢 About the Company – BOTANGELOS BOTANGELOS LLP is an early-stage AI and automation service startup, proudly headquartered in Calicut. We are The Curious Crew, building the future of intelligent systems through innovative applications of Generative AI, Azure services, and Robotic Process Automation. We thrive on curiosity, experimentation, and impact. Join us if you're ready to craft tomorrow's bots today and be part of something meaningful from the ground up. 🔧 Key Responsibilities Fine-tune and use generative AI models (text, image, multimodal) Develop and maintain APIs for AI model access Collaborate on prompt engineering, vector search, and retrieval strategies Deploy solutions using Python and REST APIs Document workflows and contribute ideas to the team Take full ownership of individual modules and work autonomously ✅ Mandatory Skills Strong hands-on Python programming Experience with Generative AI (OpenAI, Gemini, HuggingFace, etc.) Azure Cloud knowledge REST API development and integration Basic understanding of embeddings/vector search Strong problem-solving and communication skills Ability to work independently from our Calicut office 🌟 Nice to Have Knowledge of Azure AI services like Azure Cognitive Services Familiarity with Microsoft Bot Framework, LangChain, RAG .NET or C# knowledge Experience with LLMOps / deploying AI models in production Git, Docker, basic DevOps experience 🎓 Qualifications Any graduate with solid project experience in Generative AI Must have at least 6 months of hands-on work (academic or professional) 📄 Application Process To apply, please fill out the form (https://forms.office.com/r/hxgE7CayHH) and attach your resume to email hello@botangelos.com

Overview We are looking for a hybrid AI Platform Engineer to lead the design of high-performance prompts and the development of custom AI agents and integrations across our internal platforms. Collaborating closely with our AI Platform Manager and functional business units, this role bridges the creative precision of prompt engineering with the technical fluency required to build and deploy powerful LLM-based tools using APIs, system integrations, and emerging AI infrastructure. Key Responsibilities Prompt Engineering & Optimization Design, test, and refine prompts for general and use-case-specific applications. Evaluate and improve LLM output quality based on accuracy, latency, hallucination, and user satisfaction. Maintain a scalable prompt library with robust documentation and experimentation tracking. Custom Agent & GPT Development Build and maintain custom GPTs (via OpenAI) or Google Agents (Gemini, Vertex AI). Configure tools, memory, system prompts, and API-calling capabilities for agent workflows. Ensure agents follow internal data governance and compliance policies. API & Platform Integration Integrate LLM functionality into internal systems (e.g., dashboards, Slack, CRMs, internal portals). Work with APIs from OpenAI, Google Cloud, Azure, and others to create functional pipelines. Support rapid prototyping and deployment of AI features in close coordination with product and automation teams. Evaluation & Instrumentation Define key performance metrics (quality, reliability, usage patterns). Collaborate with data engineering to log, analyze, and visualize LLM performance. Implement feedback loops to continuously optimize prompt and agent behavior. Enablement & Documentation Provide tooling and guidance to business users and product teams for prompt-based workflows. Contribute to internal AI playbooks and best practices around prompt usage and API integration. Requirements 1 -3 years of experience in AI/ML, NLP applications, or full-stack product development Hands-on experience with OpenAI APIs, Google Cloud Vertex/Gemini, or similar platforms Strong experience with prompt engineering and LLM evaluation methods Proficiency in Python and working with APIs, JSON, and vector databases Familiarity with LangChain, LlamaIndex, or custom agent frameworks Excellent collaboration and communication skills

Job Title : Senior Consultant Experience 2 – 4 years About Copoint Data CoPoint Data is a specialized consulting firm focused on transforming businesses through process improvement , data insights , and technology-driven innovation . We leverage AI technologies , Microsoft cloud platforms , and modern web development frameworks to deliver intelligent, scalable solutions that drive measurable impact for our clients. Our team partners across industries to design and deploy solutions that streamline operations, enhance customer experiences, and enable data-driven growth. Our Vision We transform businesses through process improvement and data insights leveraging AI on the Microsoft stack Our Values Be Purposeful : Think Straight, Communicate, Always Do The Right Thing In Partnership : With our Team, For our Clients, In our communities. Create Impact : Deliver value-based solution, help Individual achieve their dream, demand profitable growth. Role Overview As a Senior Consultant at CoPoint Data, you will drive end-to-end delivery of both AI-enabled data solutions and modern web applications . You will blend technical expertise in AI, Microsoft platforms, and full-stack web development with business insight to architect and implement impactful solutions across client environments. Key Responsibilities Lead design and implementation of end-to-end data, AI, and web application solutions Architect and build responsive, user-friendly web interfaces integrated with enterprise data systems Develop and optimize secure, scalable APIs and microservices using cloud-native principles Implement AI-powered features in web applications using LLMs, Azure OpenAI, and Cognitive Services Guide teams in AI-assisted software development lifecycle improvements Build frameworks for responsible AI governance and model monitoring Design multi-model architectures combining analytics, AI, and web experiences Act as a subject matter expert in Microsoft Azure and modern web frameworks (e.g., React, Angular, .NET Core) Manage project workstreams and lead cross-functional delivery teams Cultivate and manage client relationships, providing strategic and technical guidance Identify and propose innovation opportunities through data and digital experiences Mentor junior developers, analysts, and consultants Ensure high quality and consistency in solution delivery and user experience Qualifications Deep expertise in Microsoft data technologies (Azure Data Factory, Synapse, Power BI). Proven experience implementing enterprise AI solutions on Azure Advanced knowledge of large language models and their business applications Expertise in AI-enhanced software development methodologies Experience with AI model evaluation, validation, and responsible deployment Proficiency in developing custom AI solutions using Azure OpenAI, Cognitive Services, and ML services Experience integrating AI into existing enterprise applications and data platforms Experience managing client expectations and delivering high-quality solutions Strong technical leadership and problem-solving capabilities Excellent communication and presentation skills Ability to anticipate client needs and propose strategic solutions What should You expect: A culture of continuous learning with certification support. Clear career advancement pathways. Competitive compensation and benefits. Flexible work arrangements. A collaborative environment that values innovation and creativity. Ready to shape the future of enterprise technology? Join our team of Microsoft technology experts and make an impact.

Role Overview We’re building the most advanced creative and operations agency in the world — powered by AI, automation, and human-first strategy. As AI Automation Lead at Aivox, you will design and execute scalable automations that integrate AI tools, CRMs, and workflows across our internal businesses and client projects. You’ll work at the intersection of technology and operations to make Aivox a fully automated, lean-growth machine. Key Responsibilities Architect and implement AI-driven automation workflows using n8n , Zapier , Make , or custom scripts Build and optimise end-to-end lead workflows: from form capture → CRM tagging → follow-up → booking Integrate GPT models into business processes for: Email responses Lead scoring Document generation Proposal writing Connect third-party tools (Calendly, Slack, WhatsApp, Gmail, Google Sheets, Pinecone, etc.) Build CRM automations using tools like HubSpot, Pipedrive, GoHighLevel, or ActiveCampaign Set up alerts, dashboards, and automations for internal teams (sales, admin, content, billing) Collaborate closely with full stack devs, media buyers, and sales VAs Stay ahead of new automation tools and AI API releases Document systems in a clean internal wiki for team use Requirements 2+ years experience with automation tools (Zapier, n8n, Make/Integromat) Proficiency with GPT and LLM APIs (OpenAI, Anthropic, Cohere) Experience building API-based workflows (REST APIs, Webhooks) Strong understanding of CRMs and lead lifecycle automation Ability to troubleshoot and optimise complex workflow logic Familiarity with tools like Pinecone, LangChain, or vector DBs is a plus Good written English for prompt engineering and AI copy automation Self-starter attitude with clean documentation habits Bonus Points Previous experience at a creative or tech agency Built tools or workflows that scaled across multiple brands Familiarity with No-Code & Low-Code tools like Retool, Bubble, Softr Understanding of sales funnels, email automation, and appointment flows

Role: Lead Python/AI Developer Experience: 6/6+ Years Location: Ahmedabad (Gujarat) Roles and Responsibilities: • Helping the Python/AI team in building Python/AI solutions architectures leveraging source technologies • Driving the technical discussions with clients along with Project Managers. • Creating Effort Estimation matrix of Solutions/Deliverables for Delivery Team • Implementing AI solutions and architectures, including data pre-processing, feature engineering, model deployment, compatibility with downstream tasks, edge/error handling. • Collaborating with cross-functional teams, such as machine learning engineers, software engineers, and product managers, to identify business needs and provide technical guidance. • Mentoring and coaching junior Python/AI/ML engineers. • Sharing knowledge through knowledge-sharing technical presentations. • Implement new Python/AI features with high quality coding standards. Must-To Have: • B.Tech/B.E. in computer science, IT, Data Science, ML or related field. • Strong proficiency in Python programming language. • Strong Verbal, Written Communication Skills with Analytics and Problem-Solving. • Proficient in Debugging and Exception Handling • Professional experience in developing and operating AI systems in production. • Hands-on, strong programming skills with experience in python, in particular modern ML & NLP frameworks (scikit-learn, pytorch, tensorflow, huggingface, SpaCy, Facebook AI XLM/mBERT etc.) • Hands-on experience with AWS services such as EC2, S3, Lambda, AWS SageMaker. • Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD. • Comfort with essential tools & libraries: Git, Docker, GitHub, Postman, NumPy, SciPy, Matplotlib, Seaborn, or Plotly, Pandas. • Prior Experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). • Experience in working in Agile methodology Good-To Have: • A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. • Python framework (Django/Flask/Fast API) & API integration. • AI/ML/DL/MLOops certification done by AWS. • Experience with OpenAI API. • Good in Japanese Language

The mission of Arkose Labs is to create an online environment where all consumers are protected from online spam and abuse. Recognized by G2 as the 2025 Leader in Bot Detection and Mitigation, with the highest score in customer satisfaction and largest market presence four quarters running, Arkose Labs offers the world's first $1M warranties for credential stuffing and SMS toll fraud. With 20% of our customers being Fortune 500 companies, our AI-powered platform combines powerful risk assessments with dynamic threat response to undermine the strategy of attack, all while improving good user throughput. Headquartered in San Mateo, CA, with employees in London, Costa Rica, Australia, India, and Argentina. Arkose Labs protects enterprises from cybercrime and abuse. What You’ll Be Doing Work on high-traffic cybersecurity software services running at a global scale, serving hundreds of millions of requests per day (and increasing) Automate core flows for detecting and taking action against fraudulent Internet traffic, using statistical algorithms and Machine Learning Design and test new components within a complex event-driven architecture Work on building highly available, zero-downtime middleware and front-end products. Help build software that spans from the browser all the way down to analytics data pipelines - our engineers work to support a dedicated data science/blue watch team Work within an agile, cross-functional team (SWE, SRE, SOC, QE) to build out and own services and projects, from requirements + specs to release and maintenance Help with migrating from a monolithic system and AWS lambdas to a microservices-based architecture running on Kubernetes What We Want From You 3+ years experience in a commercial environment using back-end programming languages - Python and/or Go 1.5+ years of database (NoSQL and Relational) experience 1.5+ years experience with microservices Experience with agile development (Scrum/Kanban) Nice to have Experience with statistics, data analysis, data mining, machine learning, or other data-focused discipline. Experience with implementing and maintaining CI/CD pipelines Experience with Docker/containers, and ideally container orchestration (e.g. Kubernetes) Strong knowledge of web/HTTP concepts and methodologies - DNS, TLS, browser caching, CDNs (e.g. Cloudflare/CloudFront) Why Arkose Labs? At Arkose Labs, our technology-driven approach enables us to make a substantial impact in the industry, supported by a robust customer base consisting of global enterprise giants such as Microsoft, Roblox, OpenAI, and more. We’re not just a company; we’re a collaborative ecosystem where you will actively partner with these influential brands, tackling the most demanding technical challenges to safeguard hundreds of millions of users across the globe. Why do top tech professionals choose Arkose Labs? Cutting-Edge Technology: Our high-efficacy solutions, backed by solid warranties, attract leading, global enterprise clients. Innovation and Excellence: We foster a culture that emphasizes technological innovation and the pursuit of excellence, ensuring a balanced and thriving work environment. Experienced Leadership: Guided by seasoned executives with deep tech expertise and a history of successful growth and equity events. Ideal Size: We’re structured to be agile and adaptable, large enough to provide stability, yet small enough to value your voice and ideas. Join us in shaping the future of technology. At Arkose Labs, you’re not just an employee; you’re part of a visionary team driving global change The most recognizable brands in the world select Arkose Labs, including OpenAI, Roblox, Microsoft, Adobe, Expedia, Snapchat, Zilch, and ZipAir. We value your unique contributions, perspectives, and experiences. Be part of a diverse and high-performing environment that prioritizes collaboration, excellence, and inclusion. We hire the best, focus on their professional development, and offer support for continuing education. We Value People: first and foremost they are our most valuable resource. Our people are independent thinkers who make data driven decisions and take ownership and accountability in all the things they do. Team Work. We demonstrate respect, trust, integrity, and communicate openly with a positive can do attitude and constructively challenge one another Customer Focus. We empathize with our customers and obsess about solving their problems Execution with precision, professionalism and urgency Security. It’s the lens through which we implement our processes, procedures, and programs Benefits Competitive salary + Equity Beautiful office space with many perks Robust benefits package Provident Fund Accident Insurance Flexible working hours and work from home days to support personal well-being and mental health Arkose Labs is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Arkose Labs will provide reasonable accommodations for qualified individuals with disabilities.

Role: Lead Python/AI Developer Experience: 6/6+ Years Location: Ahmedabad (Gujarat) Roles and Responsibilities: Helping the Python/AI team in building Python/AI solutions architectures leveraging source technologies Driving the technical discussions with clients along with Project Managers. Creating Effort Estimation matrix of Solutions/Deliverables for Delivery Team Implementing AI solutions and architectures, including data pre-processing, feature engineering, model deployment, compatibility with downstream tasks, edge/error handling. Collaborating with cross-functional teams, such as machine learning engineers, software engineers, and product managers, to identify business needs and provide technical guidance. Mentoring and coaching junior Python/AI/ML engineers. Sharing knowledge through knowledge-sharing technical presentations. Implement new Python/AI features with high quality coding standards. Must-To Have: B.Tech/B.E. in computer science, IT, Data Science, ML or related field. Strong proficiency in Python programming language. Strong Verbal, Written Communication Skills with Analytics and Problem-Solving. Proficient in Debugging and Exception Handling Professional experience in developing and operating AI systems in production. Hands-on, strong programming skills with experience in python, in particular modern ML & NLP frameworks (scikit-learn, pytorch, tensorflow, huggingface, SpaCy, Facebook AI XLM/mBERT etc.) Hands-on experience with AWS services such as EC2, S3, Lambda, AWS SageMaker. Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD. Comfort with essential tools & libraries: Git, Docker, GitHub, Postman, NumPy, SciPy, Matplotlib, Seaborn, or Plotly, Pandas. Prior Experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). Experience in working in Agile methodology Good-To Have: A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. Python framework (Django/Flask/Fast API) & API integration. AI/ML/DL/MLOops certification done by AWS. Experience with OpenAI API. Good in Japanese Language Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹1,500,000.00 per year Benefits: Provident Fund Work Location: In person Expected Start Date: 14/08/2025

Hello, Hope you are doing well. We are Hiring for the role of Sr. AI/ML/ Data Scientist role. Please revert me back with your updated resume at astha.jaiswal@techsciresearch.com if you are interested. Below are the details: Job Location: Noida Job Role: S r. AI/ML/ Data Scientist Overview: We are seeking a highly skilled and experienced AI/ML Expert to spearhead the design, development, and deployment of advanced artificial intelligence and machine learning models. This role requires a strategic thinker with a deep understanding of ML algorithms, model optimization, and production-level AI systems. You will guide cross-functional teams, mentor junior data scientists, and help shape the AI roadmap to drive innovation and business impact. This role involves statistical analysis, data modeling, and interpreting large sets of data. An AI/ML expert with experience in creating AI models for data intelligence companies who specializes in developing and deploying artificial intelligence and machine learning solutions tailored for data-driven businesses. This expert should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data. About the Role The design and development of a cutting-edge application powered by large language models (LLMs). This tool will provide market analysis and generate high-quality, data-driven periodic insights. You will play a critical role in building a scalable and intelligent system that integrates structured data, NLP capabilities, and domain-specific knowledge to produce analyst-grade content. Key Responsibilities Design and develop LLM-based systems for automated market analysis. Build data pipelines to ingest, clean, and structure data from multiple sources (e.g., market feeds, news articles, technical reports, internal datasets). Fine-tune or prompt-engineer LLMs (e.g., GPT-4.5, Llama, Mistral) to generate concise, insightful reports. Collaborate closely with domain experts to integrate industry-specific context and validation into model outputs. Implement robust evaluation metrics and monitoring systems to ensure quality, relevance, and accuracy of generated insights. Develop and maintain APIs and/or user interfaces to enable analysts or clients to interact with the LLM system. Stay up to date with advancements in the GenAI ecosystem and recommend relevant improvements or integrations. Participate in code reviews, experimentation pipelines, and collaborative research discussions. Qualifications Required: Strong fundamentals in machine learning, deep learning, and natural language processing (NLP) . Proficiency in Python , with hands-on experience using libraries such as NumPy, Pandas, and Matplotlib/Seaborn for data analysis and visualization. Experience developing applications using LLMs (both closed- and open-source models) . Familiarity with frameworks like Hugging Face Transformers, LangChain, LlamaIndex , etc. Experience building ML models (e.g., Random Forest, XGBoost, LightGBM, SVMs ), along with familiarity in training and validating models. Practical understanding of deep learning frameworks: TensorFlow or PyTorch . Knowledge of prompt engineering , Retrieval-Augmented Generation (RAG) , and LLM evaluation strategies. Experience working with REST APIs , data ingestion pipelines, and automation workflows. Strong analytical thinking, problem-solving skills, and the ability to convert complex technical work into business-relevant insights. Preferred: Familiarity with the chemical or energy industry , or prior experience in market research/analyst workflows . Exposure to frameworks such as OpenAI Agentic SDK, CrewAI, AutoGen, SmolAgent, etc. Experience deploying ML/LLM solutions to production environments (Docker, CI/CD) . Hands-on experience with vector databases such as FAISS, Weaviate, Pinecone , or ChromaDB . Experience with dashboarding tools and visualization libraries (e.g., Streamlit, Plotly, Dash, or Tableau). Exposure to cloud platforms (AWS, GCP, or Azure), including usage of GPU instances and model hosting services. About ChemAnalyst : ChemAnalyst is a digital platform, which keeps a real-time eye on the chemicals and petrochemicals market fluctuations, thus, enabling its customers to make wise business decisions. With over 450 chemical products traded globally, we bring detailed market information and pricing data at your fingertips. Our real-time pricing and commentary updates enable users to stay acquainted with new commercial opportunities. Each day, we flash the major happenings around the globe in our news section. Our market analysis section takes it a step further, offering an in-depth evaluation of over 15 parameters including capacity, production, supply, demand gap, company share and among others. Our team of experts analyse the factors influencing the market and forecast the market data for up to the next 10 years. We are a trusted source of information for our international clients, ensuring user-friendly and customized deliveries on time. Website : https://www.chemanalyst.com/

Python Developer Hyderabad, India Information Technology 311894 Job Description 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

Job Information Job Opening ID JRF520 Date Opened 07/23/2025 Job Type Full time Industry IT Services City Bangalore South State/Province Karnataka Country India Zip/Postal Code 560102 Job Description As a AI Engineer, your role typically involves programming. You would be responsible for the commitments in terms of time, effort and quality of work. You would likely be a part of a larger offshore team and are expected to work collaboratively with your peers onsite and offshore to deliver milestone/sprint-based deliverables. Typical activities that would be expected are Program and deliver as per the scope provided by the delivery leads/onsite managers. Actively participate in the discussions/scrum meetings to comprehend and understand your scope of work and deliver as per your estimates/commitments Proactively reach out to others when you need assistance and to showcase your work Work independently on your assigned work Requirements Should have experience in the below: Python (Advanced proficiency) PyTorch / TensorFlow (Model Development & Deployment) LangChain / LlamaIndex (LLM Orchestration) HuggingFace Transformers OpenAI, AWS Bedrock, Vertex AI, or Azure OpenAI APIs Vector Databases for RAG (Weaviate / Milvus / FAISS/mongodb) MongoDB / PostgreSQL (Structured Data Retrieval & Joins) Redis / DynamoDB (Fast Caching & Lookup) Kafka / RabbitMQ (Message Queues for Real-Time Inference) FastAPI / Flask (Backend APIs for ML Serving) Docker (Containerization for Model Inference) CI/CD Pipelines (GitHub Actions / GitLab CI / Jenkins) MLflow / Weights & Biases (Experiment Tracking & Model Management) S3 / GCS (Storage for Model Artifacts & Datasets) ElasticSearch / OpenSearch (Search over structured/unstructured text) Linting & Testing: Pytest, Black, Ruff, Flake8 Type Hinting, Documentation Standards, YAML/JSON Config Management LLM training - finetuning (PEFT), pre-training Should be familiar with at least two Gen AI platform like Amazon Bedrock, Copilot, Vertex, etc.. Should be familiar with at least two model like Claude, ChatGPT, Gemini, etc.. Should be familiar with RAG Model and Agentic AI model Architectural Requirements: Strong understanding of AI system design: data ingestion preprocessing model retrieval response Experience leading teams on LLM/NLP/ML projects end-to-end Excellent architectural decision-making & scalability mindset Familiarity with prompt engineering, evaluation metrics, and benchmarking Strong communication, documentation, and client-handling skills Benefits Insurance benefits for the self and the spouse, including maternity benefits. Ability to work on many products as the organization is focused on working with several ISVs. Monthly sessions to understand the directions of each function and an opportunity to interact with the entire hierarchy of the organization. Celebrations are a common place - physical or virtual. Participate in several games with your coworkers. Voice your opinions on topics other than your work - Chimera Talks. Hybrid working models - Remote + office

Company Description WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Job Description Job Summary:We are seeking a highly skilled and forward-thinking Senior Data Scientist to join our Automation Centre of Excellence within the Research & Analytics team. Expertise in Generative AI and Machine Learning. Adept at leading end-to-end development of high-performance GenAI/ML solutions that streamline complex business workflows and elevate analytical precision. This role demands deep expertise in Data Science, Generative AI (GenAI), Python programming and automation. The ideal candidate will lead the development of intelligent, scalable solutions that automate workflows, enhance decision-making, and unlock business value through advanced AI techniques. Awareness of Microsoft Power Platform is good to have.Roles and Responsibilities:Collaborate with cross-functional teams to identify automation opportunities and deliver AI-driven solutions.Design and implement end-to-end data science workflows using Python, integrating diverse data sources (on-premise and cloud).Lead the transformation of manual, Excel-based processes into robust, governed Python-based automation pipelines.Apply advanced data science techniques including data preprocessing, feature engineering, and model development.Leverage GenAI models (e.g., GPT, DALL·E, LLaMA) for content generation, data exploration, and intelligent automation.Build and deploy applications using Microsoft Power Platform (Power BI, Power Apps, and Power Automate).Integrate systems and automate workflows using WTW Unify.Ensure high standards of code quality, modularity, and scalability in Python development.Implement CI/CD pipelines using Azure DevOps for seamless deployment of data science solutions.Maintain data governance, quality, and compliance with organizational standards.Stay abreast of emerging trends in AI, GenAI, and data engineering to drive innovation.Technical Skills & Tools:Mandatory:Key Skills: Generative AI, Machine Learning, Deep Learning, NLPPython (Data Processing, Engineering, Automation)Libraries: Pandas, Numpy, Seaborn, Matplotlib, Scikit-learn, Tensorflow, Keras, OpenCV, NLTK, Spacy, Gensim, TextBlob, Fasttext, FastApiGenAI frameworks (e.g., OpenAI, Hugging Face, Meta AI, LangChain, LangGraph)Version Control & DevOps Tools: GitHub (CI/CD Actions), Azure DevOpsVersion control systems (ADO/Bitbucket)Preferred:R Programming, Posit Workbench, R ShinyKnowledge of Microsoft Power Platform, WTW UnifyFunctional Expertise:8+ years of experience in data science and GenAI projectsProven track record in deploying GenAI solutions in enterprise environments.Experience in the Insurance domain (e.g., Finance, Actuarial) is a plus.Strong communication skills to engage with technical and non-technical stakeholders. Qualifications Educational Qualifications:Master’s degree in Statistics, Mathematics, Economics, or Econometrics from Tier 1 institutionsOR BE/B-Tech, MCA, or MBA from Tier 1 institutions

Job Purpose The Engineering Lead leads a high-performing development team responsible for AOTs suite of interconnected digital solutions designed for the public and private sectors. This role combines hands-on technical oversight with people management, ensuring that the team is empowered to do their best work building scalable, secure, and user-friendly applications that drive meaningful impact in civic and government services. The Engineering Lead fosters a culture of collaboration, continuous improvement, and accountability, working closely with cross-functional partners to align technical execution with strategic goals. Job Duties And Responsibilities Lead and mentor a team of software engineers working across a portfolio of digital solutions for the public sector. Partner with the Software Product Manager to align technical implementation with user needs, regulatory requirements, and organizational goals. Demonstrated ability to dive into complex technical challenges writing code, creating quick proof of concepts, prototypes etc, reviewing pull requests, and shaping software architecture while guiding the team on best practices and high-level design decisions as needed. Provide architectural guidance and ensure the maintainability, scalability, and performance of all products in the portfolio. Manage technical delivery across multiple projects and product lifecycles. Promote secure, accessible, and privacy-compliant development practices across the engineering team. Support career development through coaching Strong technical background in web application development, cloud architecture, and system integration, with 10+ years of experience in full-stack development. Experience with process orchestration using traditional BPMN tools (e.g., Camunda). Proficient in one or more backend languages/frameworks such as Python Flask, Java Spring Boot, and frontend frameworks like React, Vue, or Angular. Regular feedback, and performance reviews. Champion a high-performance, collaborative culture that embraces open communication, continuous learning, experimentation, and psychological safety empowering each team members growth while maintaining accountability and shared ownership of outcomes. Contribute to long-term technical strategy, including modernization and integration of all product offerings. Drive cross-functional collaboration to ensure successful deployment, support, and evolution of each product. Setting up or guiding the infrastructure/devops/sre Qualifications : : Bachelors degree in Computer Science, Engineering, or a related field, or equivalent work : 12+ years of professional software development experience,2+ years architecture design or in a solution architect role. Experience delivering digital products for enterprise or public sector Skills & Abilities : Demonstrated interest in and knowledge of AI, actively staying informed on emerging advancements in gen AI, LLMs, ML integration, etc. Proven leadership skills, with the ability to inspire and support a team in delivering high-impact software. Deep understanding of secure coding practices, accessibility, and compliance frameworks relevant to public sector software. Excellent communication skills and experience working in cross-functional environments. Skilled in agile development methodologies and iterative Qualifications : Background in low-code/no-code platforms or process automation tools. Familiarity with government digital standards and procurement environments. Experience managing open-source or hybrid-source software projects. Exposure to DevOps practices, CI/CD pipelines, and cloud infrastructure (e.g., AWS, Azure). Exposure to machine learning & LLMs : familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn) and NLP/LLM solutions (OpenAI APIs, Hugging Face models, Conditions : Work Arrangement : This is an occassionally hybrid opportunity based out of our Trivandrum Travel Requirements : Occasional travel may be required for team meetings, user research, or On-Call Requirements : Light on-call rotation may be required depending on operational Hours of Work : Monday to Friday, 40 hours per week, with overlap with PST required as AOTs Values : Role Our values guide how we work, collaborate, and grow as a team. Every role at AOT is expected to embody and promote these values : Innovation : We pursue true innovation by solving problems and meeting unarticulated Integrity : We hold ourselves to high ethical standards and never Ownership : We are all responsible for our shared long-term Agility : We stay ready to adapt to change and deliver Collaboration : We believe collaboration and knowledge-sharing fuel innovation and Empowerment : We support our people so they can bring the best of themselves to work every day. (ref:hirist.tech)