4010 Openai Jobs - Page 35

Title: Senior AI Developer Years of Experience 8+ years Location: The selected candidate is required to work onsite for the initial 1 to 3-month project training and execution period at either our Kovilpatti or Chennai location, which will be confirmed during the onboarding process. After the initial period, remote work opportunities will be offered. Job Description: The Senior AI Developer will be responsible for designing, building, training, and deploying advanced artificial intelligence and machine learning models to solve complex business challenges across industries. This role demands a strategic thinker and hands-on practitioner who can work at the intersection of data science, software engineering, and innovation. The candidate will contribute to scalable production-grade AI pipelines and mentor junior AI engineers within the Center of Excellence (CoE). Key responsibilities · Design, train, and fine-tune deep learning models (NLP, CV, LLMs, GANs) for high-value applications · Architect AI model pipelines and implement scalable inference engines in cloud-native environments · Collaborate with data scientists, engineers, and solution architects to productionize ML prototypes · Evaluate and integrate pre-trained models like GPT-4o, Gemini, Claude, and fine-tune based on domain needs · Optimize algorithms for real-time performance, efficiency, and fairness · Write modular, maintainable code and perform rigorous unit testing and validation · Contribute to AI codebase management, CI/CD, and automated retraining infrastructure · Research emerging AI trends and propose innovative applications aligned with business objectives Technical Skills · Expert in Python, PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers · LLM deployment & tuning: OpenAI (GPT), Google Gemini, Claude, Falcon, Mistral · Experience with RESTful APIs, Flask/FastAPI for AI service exposure · Proficient in Azure Machine Learning, Databricks, MLflow, Docker, Kubernetes · Hands-on experience with vector databases, prompt engineering, and retrieval-augmented generation (RAG) · Knowledge of Responsible AI frameworks (bias detection, fairness, explain ability) Qualification · Master’s in Artificial Intelligence, Machine Learning, Data Science, or Computer Engineering · Certifications in AI/ML (e.g., Microsoft Azure AI Engineer, Google Professional ML Engineer) preferred · Demonstrated success in building scalable AI applications in production environments · Publications or contributions to open-source AI/ML projects are a plus

A. Company Overview Founded in 2012, Occams Advisory is a leading business solutions, professional services and financial advisory provider specializing in growth, financing, and taxation. Serving as a trusted advisor throughout the business lifecycle, Occams combines Fortune 500 expertise, entrepreneurial insights, and a global perspective to deliver world-class solutions. Occams has achieved remarkable recognition for its rapid growth, securing 8 spots on Inc. magazine’s Fastest Growing 5000 Private Companies list, 4 consecutive rankings on the Financial Times Fastest Growing 500 Companies in the Americas. In 2023, Occams was honored on Fortune’s inaugural list of the 300 Most Innovative Companies. Operating across all U.S. states and territories, Occams boasts a team of over 100 professionals based in major cities worldwide, including New York, Los Angeles, Toronto, Delhi and Mumbai. Its leadership includes alumni from Fortune 500 companies such as Barclays, UBS, and Merrill Lynch, and prestigious academic institutions like NYU, Duke University, and London Business School. Recognized as a leader in professional services, Occams delivers transformative growth and advisory solutions to clients. B. About Your Role We are looking for a AI Software Engineer to join our AI Initiative. In this role, you will drive the development of AI-powered solutions, generative AI, and AI business solutions to create impactful applications. This position is for someone who lives and breathes AI, LLMs, and APIs—whose language is defined by tokens, embeddings, and temperature settings. It demands an AI specialist who has been immersed in AI from its inception, deeply understands its evolution, and is always at the cutting edge of LLMs, AI Business use cases, and generative models. You will be responsible for end-to-end AI model execution, from conceptualization and training to optimization and deployment, ensuring that our AI-driven solutions are not just innovative but also scalable and impactful. If your thought process revolves around prompt engineering, parameter tuning, and the evolution of AI architectures, you might be the perfect fit. The ideal candidate is proactive, analytical, and detail-oriented—someone who takes initiative, embraces challenges, and is eager to contribute to a culture of excellence and impact. C. Key Responsibilities Develop LLM-Powered Business Solutions: Design, build, and deploy robust applications that leverage LLM frameworks such as OpenAI and Langchain to address business-specific use cases. Implement Retrieval-Augmented Generation (RAG) Pipelines: Develop and maintain scalable RAG systems—including integration with vector databases (e.g., Qdrant) and memory modules—to improve the accuracy and relevance of responses. Advanced Prompt Engineering: Apply advanced prompt engineering techniques to optimize user interactions and generate precise responses, ensuring that the application meets business needs. API and Microservices Development: Create and secure RESTful APIs and microservices for seamless integration of LLM functionalities into existing systems, with a focus on data security and compliance. Cloud Architecture Integration: Work with cloud services (e.g., AWS Lambda, S3, CloudFormation) to ensure the LLM applications are highly scalable, resilient, and cost-effective. Collaboration with Cross-Functional Teams: Partner with product managers, designers, and other stakeholders to translate business requirements into technical solutions, iteratively refining applications based on feedback. Performance Optimization and Quality Assurance: Monitor, troubleshoot, and continuously optimize applications for performance, ensuring high-quality, business-aligned outputs and maintaining rigorous guardrails. D. Required Qualifications & Experience Education: Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field; relevant certifications are a plus. Experience: 2+ years of experience with OpenAI, Gemini, Lambda, Llama, Langchain integration into business uses cases. Essential Technical Skills: Proficiency in node.js and experience with AI frameworks such as TensorFlow, PyTorch, and LangChain . Expertise in LLMs, transformers, embeddings, and generative AI . Strong understanding of AI model optimization, fine-tuning, and deployment . Experience with API development and integrating AI models into production environments . Knowledge of cloud platforms such as OpenAI, AWS, Azure, or Google Cloud for AI deployment. Ability to process and work with large datasets for AI training and development. Preferred Skills: Experience with OpenAI’s GPT models and similar architectures. Strong problem-solving skills and ability to collaborate with cross-functional teams. E. Benefits & Perks Health Insurance for you and your dependents including parents Provident Fund 3 % Fixed CTC Budget for Learning Opportunities Market Leading Leave Policy Paid Holidays per Calendar Year Employee Recognition & Rewards One of the best cultures of benevolent meritocracy F. Job Details Title: Sr. Software Engineer (AI) Annual Compensation: 12 – 13 LPA Work Schedule: Office Nature: Full time Shift: 3:00 PM to 12:00 AM IST Location: Delhi, India/ Dehradun, Uttarakhand

Role & responsibilities: Design, develop, and optimize OpenAI-powered applications, including multi-agent frameworks, chatbots, and AI-based customer support systems. Leverage agentic technologies (e.g., Autogen framework) to implement AI agents capable of collaborating and completing complex tasks autonomously. Build and maintain backend services using Python or .NET to support OpenAI integrations. Work with custom datasets, applying techniques such as chunking, embedding, and vector search for model fine-tuning and retrieval-augmented generation (RAG). Integrate Azure Cognitive Services (e.g., Text Analytics, Translator, Form Recognizer) to enhance functionality and intelligence of AI solutions. Ensure scalable and secure deployment of AI solutions on Azure, using services like Azure Functions, Azure App Service, and Azure Kubernetes Service (AKS). Regularly evaluate and fine-tune GPT models to ensure high performance and relevance. Collaborate with cross-functional teams, including product, design, and QA, to ensure seamless development and deployment pipelines. Stay up to date with advancements in OpenAI, Azure AI, and agent-based technologies, and proactively contribute innovative ideas. Required Skills and Experience: Bachelor's degree in Computer Science, Engineering, or related field. Proficient in Python for backend and AI integration development. Strong experience with OpenAI GPT models and their practical applications. Experience with agentic technologies (e.g., Autogen, LangGraph, CrewAI) for multi-agent systems. Familiarity with Microsoft Azure Cognitive Services and Azure AI Studio. Solid grasp of machine learning fundamentals, including training, fine-tuning, and evaluating language models. Practical knowledge of Natural Language Processing (NLP) techniques. Hands-on experience with CI/CD tools such as Google Cloud Build, Jenkins, GitHub Actions, or Azure DevOps. Ability to work collaboratively in an agile, team-oriented environment under tight deadlines. Excellent problem-solving, debugging, and analytical skills. Desirable Skills: Masters degree or higher in AI, ML, or a related technical field. Prior experience in chatbot development for customer service or enterprise use cases. Certification(s) in Microsoft Azure, OpenAI, or machine learning technologies. Experience deploying and managing OpenAI solutions in Azure environments. Familiarity with RAG architectures, Azure AI Search, and blob storage indexing. Knowledge of Copilot Studio, Power Platform AI builder, or Conversational AI tools.

We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs), who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications. The ideal candidate should have hands-on experience with foundation model customization, prompt engineering, retrieval-augmented generation (RAG), and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI, or Anthropics Claude. Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning, parameter-efficient fine-tuning (LoRA, QLoRA, PEFT), or prompt tuning. Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Haystack, or OpenAI Assistants API. Use embedding models, vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock, Azure OpenAI, Google Vertex AI, Anthropic Claude, or OpenAI API. Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails, content moderation, and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelors or Masters in Computer Science, AI/ML, Data Science, or related fields. 3-6+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems. Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex. Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters. Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services. Preferred Skills: Experience with open-source LLMs: Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows, or multi-agent LLM orchestration. Experience with multi-turn conversation modeling, dialogue state tracking. Understanding of model quantization, distillation, or fine-tuning in low-resource environments. Familiarity with ethical AI practices, hallucination mitigation, and user alignment. Tools & Technologies: Category Tools & Platforms LLM Frameworks Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring Prometheus, MLflow, Langfuse, Weights & Biases

About the Role We’re hiring a Full Stack Intern to join our early-stage AI product team. You’ll work closely on a live product, building and shipping real features that impact users. We’re looking for someone who’s hungry to learn, ship fast, and grow into a core role. Responsibilities Build a mobile-first web app interface Work with React or Next.js Integrate third-party APIs (e.g., OpenAI, Firebase) Implement file upload and basic admin dashboards Setup OTP login (Firebase) and user access Must-Have Skills React.js / Next.js Firebase or Supabase API integration (REST APIs) Git/GitHub Strong problem-solving mindset Good to Have Knowledge of LangChain, Pinecone, or WhatsApp API Previous work on AI/chatbot tools Deployed real-world projects (not just coursework) Who You Are Final-year CS/IT student or recent graduate Based in or willing to collaborate in Bangalore Passionate about building from scratch Self-driven with strong ownership mindset Why Join Direct access to real product-building Hands-on learning with fast execution cycles Path to join core tech team / future leadership role Mentorship + product thinking experience Job Types: Full-time, Part-time, Fresher Pay: ₹1,031,780.93 - ₹1,637,191.75 per year Expected hours: 24 per week Benefits: Flexible schedule Location: Bengaluru, Karnataka (Preferred) Work Location: In person

We’re building an Agentic AI Platform that lets enterprises solve real business problems using Agentic AI workflows. From utility operations to legal document review; our mission is to let AI agents think, act, and deliver; fast, secure and locally. We’re looking for an Agentic AI Engineer who’s hungry to learn and ship. If you’re ready to build with cutting-edge frameworks like Lang Chain, CrewAI, Lang Graph, Google ADK and more and can translate real enterprise problems into intelligent multi-agent workflows, this role is for you. What You’ll Do Build and deploy AI agents using open-source agentic frameworks Explore and integrate models from OpenAI, Mistral, Gemini, Llama, Claude, etc. Use tools like Retrieval-Augmented Generation (RAG), knowledge graphs, and vector stores Work with product managers and domain experts to solve real problems (not just prototypes) Continuously test and refine agent behavior across different enterprise domains (utilities, legal, marketing, supply chain) Actively contribute to evolving our proprietary DataInsightAI platform Must-Have Skills At least 1+ years of hands-on experience implementing a enterprise level Gen AI project that has gone live. Strong Python skills (Async, FastAPI, LangChain/CrewAI or similar) Experience working with LLMs (OpenAI, Llama, Claude, Gemini, etc.) Familiar with agentic AI workflows, prompt chaining, and tool use Understanding of RAG, vector databases (like FAISS, Qdrant, Weaviate) Curiosity-driven mindset, fast learner, hands-on coder Ability to simplify complex problems and build MVPs fast Nice to Have Worked on multi-agent architectures or fine-tuned LLMs Used graph databases (Neo4j) or custom knowledge stores Experience deploying on Azure/AWS/GCP Familiarity with LangGraph or Google ADK Why Join Us? Work on cutting-edge agentic AI every day Be part of a lean team with real ownership Ship fast and solve real enterprise challenges Backed by InTimeTec, with a strong AI/ML engineering culture

We are seeking a Technical Architect with strong experience in designing, building, and leading enterprise-grade solutions across the Microsoft ecosystem. The ideal candidate will have deep expertise in Microsoft 365, Azure cloud services, and modern AI-powered applications. This role demands both strategic solutioning and hands-on leadership, guiding cross-functional teams to deliver scalable and secure solutions. Key Responsibilities: Architect and lead the development of enterprise applications leveraging Microsoft 365 (SharePoint, Power Platform, Teams), .NET and Azure services Design end-to-end solutions, ensuring alignment with business goals, security standards, and scalability Build and implement AI/ML-enabled features, such as chatbots, intelligent search, or document processing, using Azure OpenAI, Open Source Models, Cognitive Services, and Semantic Search Guide and mentor development teams, providing architectural oversight and code reviews Collaborate with cross-functional stakeholders to define solution roadmaps and delivery plans Own and manage technical documentation, DevOps pipelines, and deployment strategies Stay updated with Microsoft technology stack, release cycles, and recommend adoption strategies Required Skills & Experience: 8–10 years of IT experience with at least 4+ years in architecture/design roles Proven experience with Microsoft 365 (SharePoint Online, Power Platform, Teams Apps) Strong hands-on skills with Azure (App Services, Functions, Logic Apps, Key Vault, etc.) Experience building solutions using Azure OpenAI, Custom Models, AI Builder, Azure Cognitive Services, or similar Proficiency in modern front-end technologies like React (especially for SPFx and Teams Apps) Strong knowledge of PnP Framework, REST APIs, Graph API, and PowerShell scripting Understanding of governance, compliance, security, and performance aspects of cloud solutions Strong communication, leadership, and stakeholder engagement skills Good to Have: Microsoft certifications (e.g., Azure Solutions Architect, M365 Developer Associate, Power Platform Solution Architect) Experience in data-driven applications, RAG architecture, or enterprise AI implementations Exposure to Agile delivery models, DevOps, and CI/CD in Azure

Fynd is India’s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries. About The Role We are hiring a Product Growth Manager to lead initiatives at the intersection of retail, AI, and product execution. This role requires someone who can conceptualize and build AI-native features, scale them effectively, and drive adoption through experimentation, data insights, and structured execution. You will work closely with engineering, machine learning, product, and business teams to deliver AI-powered capabilities that solve real-world retail challenges. The ideal candidate has strong technical foundations, sharp product instincts, and a proven ability to operate with speed and ownership in high-growth environments. What will you do at Fynd? Build and launch AI-native product features in collaboration with ML and engineering teams. Drive product-led growth initiatives focused on activation, retention, and adoption. Translate AI/ML capabilities into scalable and intuitive product experiences. Work hands-on with model deployments, inference systems, and API integrations. Own end-to-end product execution—from problem discovery to roadmap delivery and post-launch iteration. Contribute to platform strategies that scale AI features from MVPs to production-grade adoption. Understand and influence product flows specific to retail, catalog systems, and commerce automation. Some Specific Requirements AI and Technical Foundations Strong grasp of LLMs, embeddings, vector databases, RAG, and fine-tuning methods like LoRA and QLoRA. Hands-on experience with OpenAI, Hugging Face, LangChain, LlamaIndex, and production-grade AI tooling. Familiar with AI workflows using FastAPI, Docker, MLflow, and model serving via Ray or TorchServe. Comfortable working with GitHub, Git, and tools for managing models, code, and experiments. Good understanding of microservices, API design (REST/GraphQL), and scalable backend systems. Experienced in CI/CD setup for training and deploying ML models to production. Data and Analytics Proficient in SQL, BigQuery, and Looker Studio for data exploration and dashboards. Able to design KPIs, success metrics, and user journey insights for product analytics. Knowledge of tools like dbt, Airflow, and event-based platforms like PostHog or Mixpanel. Experience with A/B testing, funnel analysis, and behavioral cohort tracking. Retail and Product Execution Solid understanding of retail workflows, product catalogs, and commerce ecosystems. Experience building and scaling digital products with real-world user adoption. Strong product judgment and ability to balance business, user, and technical priorities. Stakeholder Management and Execution Leadership Ability to lead and influence cross-functional teams to drive high-quality execution. Strong communication skills to present AI-driven concepts to both technical and non-technical audiences. Experience with Agile methodologies and tools such as Jira, Confluence, and Asana for planning and tracking. Preferred Experience 2 to 5 years in product, growth, or AI-focused roles. Experience in building and scaling AI-powered or technology-driven platforms. Exposure to retail, e-commerce, or SaaS environments. Track record of delivering outcomes in fast-paced, cross-functional teams. Why Join Us Be part of a team shaping the future of AI-native platforms in digital commerce. Work closely with leading AI engineers, product teams, and business stakeholders. Own and execute high-impact initiatives with autonomy and accountability. Operate in a culture that values speed, clarity, and innovation. If you're someone who thrives on execution, loves solving complex problems, and wants to build the future of AI-native platforms, we’d love to have you on board Growth Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially. Flex University We help you upskill by organising in-house courses on important subjects Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you. Culture Community and Team building activities Host weekly, quarterly and annual events/parties. Wellness Mediclaim policy for you + parents + spouse + kids Experienced therapist for better mental health, improve productivity & work-life balance We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment

Conversion Developer JD Job Title: Conversion Developer Overview We are seeking a skilled Conversion Developer to support our customer data migration efforts. This role involves building and executing tools to extract, transform, and import data and documents from legacy systems into our platform. The ideal candidate has strong experience with C#/.NET, SQL Server, and Visual Basic, and is comfortable working with various data formats. Experience using AI tools for data extraction and conversion is a plus. Key Responsibilities Analyze customer-provided data and document formats to determine conversion requirements. Develop and maintain tools in C#/.NET and Visual Basic to process and reformat data for import into our system. Perform data transformations targeting our MSSQL database (hosted in Azure). Support and enhance legacy Visual Basic-based conversion tools as needed. Ensure accuracy and completeness of converted data, with thorough testing and validation. Collaborate with our internal teams to understand data structures and business rules. Automate recurring conversion processes where possible. Leverage AI-based tools (e.g., OCR, data mapping, extraction) when applicable to improve efficiency. Required Skills Proficient in C# and .NET (Core or Framework). Strong experience with Visual Basic (VB.NET or classic VB) for maintaining legacy tools. Solid skills with SQL Server and writing efficient queries/stored procedures. Comfortable working with various data types and formats (CSV, Excel, XML, JSON, PDFs, etc.). Understanding of data transformation and ETL concepts. Able to work independently, communicate clearly, and meet deadlines. Preferred Skills Experience with Azure-hosted services (especially Azure SQL Database). Prior Experience with AI/ML tools for data extraction (e.g., Azure Cognitive Services, OpenAI APIs). Prior experience supporting system migrations or customer onboarding projects.

Job Title: Business Analyst Lead – Generative AI Experience: 7–15 Years Location: Bangalore Designation Level: Lead Role Overview: We are looking for a Business Analyst Lead with a strong grounding in Generative AI to bridge the gap between innovation and business value. In this role, you'll drive adoption of GenAI tools (LLMs, RAG systems, AI agents) across enterprise functions, aligning cutting-edge capabilities with practical, measurable outcomes. Key Responsibilities: 1. GenAI Strategy & Opportunity Identification Collaborate with cross-functional stakeholders to identify high-impact Generative AI use cases (e.g., AI-powered chatbots, content generation, document summarization, synthetic data). Lead cost-benefit analyses (e.g., fine-tuning open-source models vs. adopting commercial LLMs like GPT-4 Enterprise). Evaluate ROI and adoption feasibility across departments. 2. Requirements Engineering for GenAI Projects Define and document both functional and non-functional requirements tailored to GenAI systems: Accuracy thresholds (e.g., hallucination rate under 5%) Ethical guardrails (e.g., PII redaction, bias mitigation) Latency SLAs (e.g., <2 seconds response time) Develop prompt engineering guidelines, testing protocols, and iteration workflows. 3. Stakeholder Collaboration & Communication Translate technical GenAI concepts into business-friendly language. Manage expectations on probabilistic outputs and incorporate validation workflows (e.g., human-in-the-loop review). Use storytelling and outcome-driven communication (e.g., “Automated claims triage reduced handling time by 40%.”) 4. Business Analysis & Process Modeling Create advanced user story maps for multi-agent workflows (AutoGen, CrewAI). Model current and future business processes using BPMN to reflect human-AI collaboration. 5. Tools & Technical Proficiency Hands-on experience with LangChain, LlamaIndex for LLM integration. Knowledge of vector databases, RAG architectures, LoRA-based fine-tuning. Experience using Azure OpenAI Studio, Google Vertex AI, Hugging Face. Data validation using SQL and Python; exposure to synthetic data generation tools (e.g., Gretel, Mostly AI). 6. Governance & Performance Monitoring Define KPIs for GenAI performance: Token cost per interaction User trust scores Automation rate and model drift tracking Support regulatory compliance with audit trails and documentation aligned with EU AI Act and other industry standards. Required Skills & Experience: 7–10 years of experience in business analysis or product ownership, with recent focus on Generative AI or applied ML. Strong understanding of the GenAI ecosystem and solution lifecycle from ideation to deployment. Experience working closely with data science, engineering, product, and compliance teams. Excellent communication and stakeholder management skills, with a focus on enterprise environments. Preferred Qualifications: Certification in Business Analysis (CBAP/PMI-PBA) or AI/ML (e.g., Coursera/Stanford/DeepLearning.ai) Familiarity with compliance and AI regulations (GDPR, EU AI Act). Experience in BFSI, healthcare, telecom, or other regulated industries.

Job description About Us : Auxiliobits is a leader in delivering cutting-edge automation solutions. We’re seeking a dynamic Senior UiPath RPA Developer with expertise in Python, LLMs (Large Language Models) integration on Azure or AWS, and custom development in .NET/C#. Key Responsibilities : Design, develop, and deploy advanced RPA workflows using UiPath. Integrate LLMs (e.g., OpenAI, Azure OpenAI Service) into automation processes. Build custom UiPath components and activities using .NET C#. Utilize Python for advanced data processing, AI model interaction, and scripting. Collaborate with architects to design scalable, high-performance solutions. Interface with cloud platforms like Azure and AWS for AI/ML model deployment. Implement best practices in development, debugging, and documentation. Work in agile teams, ensuring timely delivery of automation projects. Qualifications : Experience : 5+ years in UiPath RPA development with a strong focus on complex automation. Skills : Proficient in .NET C# for custom activity creation. Hands-on experience with Python for automation and AI integration. Expertise in deploying and interfacing with LLMs on Azure or AWS. Knowledge of cloud architecture and services. Strong understanding of RPA architecture and agile methodologies. UiPath Advanced Developer Certification is preferred. Why Join Us : Work on cutting-edge AI and automation projects. Be part of a collaborative and innovative team. Competitive compensation and growth opportunities. If you’re passionate about automation, AI, and delivering impactful solutions, we’d love to hear from you! Job Type: Full-time Pay: ₹500,000.00 - ₹1,500,000.00 per year Benefits: Food provided Life insurance Provident Fund Education: Bachelor's (Preferred) Experience: total work: 1 year (Preferred) software development: 1 year (Preferred) HTML5: 1 year (Preferred) 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: We’re not yesterday’s IT department, we're Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI-driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate ServiceNow’s journey to become the defining enterprise software company of the 21st century. And we love co-creating, using, and highlighting our own products to do it. We are seeking a passionate and skilled senior GenAI Application Developer to join our growing Enterprise AI team. In this role, you will be responsible for designing, developing, and deploying intelligent applications that leverage Generative AI capabilities to solve real-world business problems. You will work closely with our Data Scientists, ML Engineers, and other Cross-functional teams to build scalable, secure, and user-centric solutions, with the opportunity to work on cutting-edge AI technologies. Responsibilities Design and develop applications that integrate Generative AI models such as OpenAI, Gemini, Claude LLMs, into enterprise workflows. Build APIs, microservices, and user interfaces that enable seamless interaction with GenAI-powered features. Collaborate with data scientists, product managers, and UX designers to translate business needs into technical solutions. Deploy Agentic AI workflows and use cases by leveraging frameworks and tools such as LangChain, LangGraph, LlamaIndex, Notion, or similar. Implement prompt engineering, retrieval-augmented generation (RAG), and model evaluation strategies. Ensure application performance, scalability, and security across cloud and on-prem environments. (Optional) Develop and integrate GenAI capabilities within the ServiceNow platform, including Virtual Agents, Flow Designer, and custom applications. Maintain documentation, conduct code reviews, and contribute to best practices in GenAI application development. Qualifications To be successful in this role you have: 5+ years of related experience with a Bachelor's degree, Master’s degree or PhD or equivalent work experience. 5+ years of experience working with a programming language (JavaScript, Python, Java, etc.) Experience with RESTful APIs, cloud platforms (Azure, AWS, GCP), and containerisation (Docker, Kubernetes) Experience integrating microservices, using SDKs for enhancing platform capabilities, building cloud native applications on Azure/Databricks. 2+ years of experience implementing generative AI models/services in enterprise workflow applications Hands-on experience with GenAI and AI Agents frameworks (e.g., LangChain, LlamaIndex, Langgraph, Autogen ) Understanding of prompt engineering, vector databases (e.g., FAISS, Pinecone), and RAG pipelines. Strong communication and collaboration skills Experience with ServiceNow Application development (e.g., App Engine Studio, Virtual Agent Designer), is a plus Experience with Agentic AI framework or NASK framework in Servicenow AI platform, is a plus 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.

Overview of the role: The Sisal AI & Automation group is looking for a motivated and versatile expert to develop and operationalize next-generation Agentic AI systems across our business. As a Senior Generative AI Engineer , you will play a critical role in shaping the software development lifecycle (SDLC) of AI products—guiding them from concept to production deployment—while also mentoring junior team members and managing multiple concurrent initiatives. You’ll be joining an industry-leading team and building transformative AI solutions that drive real-world impact across Sisal’s portfolio, including Sports Betting, Gaming, and other domains. This hybrid role combines remote work flexibility with collaboration in our modern offices in Hyderabad , India. What you will do: Across areas such as Sports Betting, Gaming, and other Sisal products, you will lead the development of Advanced Agentic AI systems . You shall have the opportunity to architect and implement Generative AI to streamline Sisal AI solutions, own the end-to-end SDLC for AI initiatives and set Generative AI standard together with the Data Science group. You will manage and prioritize multiple AI/ML projects simultaneously, driving the company's strategic edge by transforming raw data into actionable insights in this dynamic and thrilling environment. What you will need A Master’s degree in a STEM field with 4 to 6 years of experience as an AI/ML Engineer. Strong Python programming skills and a solid understanding of databases and data pipelines. Demonstrated success in delivering production-grade AI/ML solutions , with hands-on involvement throughout the full SDLC. Proven experience working with Generative AI tools and frameworks (e.g., OpenAI, Hugging Face, Anthropic). Hands-on experience building Retrieval-Augmented Generation (RAG) systems using vector databases. Exposure to cloud-based machine learning environments and MLOps tooling. Experience mentoring junior team members and leading small technical groups is highly valued. Ability to juggle multiple parallel projects , prioritize effectively, and manage time across shifting business demands. Excellent communication skills, with the ability to explain technical concepts clearly and persuasively to non-technical stakeholders. Highly desirable skills: Experience in developing LLM-based applications and LLM-Ops, leveraging them to tackle business problems is desirable. Exposure to Azure tools include Azure OpenAI Ecosystem. Publications on international journals are a big plus It is ok if you do not think you tick every box on this list! We love people who want to challenge themselves and are passionate about what they do. If you believe you can contribute in some areas and are eager to learn, we encourage you to apply!! Aside from a generous base salary, we have a phenomenal benefits and rewards program that is designed to encourage personal and career development. This package includes: Discretionary annual performance bonus 30 days paid leave Health Insurance for you and your partner, children, and parents or parents-in-law (up to 5 dependents) A personal interest allowance to let you learn something new or pursue a hobby Looking to extend your family? You will receive a cash gift of 34,000 INR for your new addition whilst working for us 26 weeks primary carer leave, and 4 weeks secondary carer leave External learning support of up to £1,000 or equivalent in local currency, dedicated 4 learning “Power Hours” every month during office time, full access to the Udemy and Mindtools platforms, in-house leadership program and many other training opportunities for developing your skills and progressing your career.

Job Title: AI/ML Engineer – FastAPI, FAISS & Vector Databases Location: Gurgaon (On-site) Job Type: Full-Time Job Overview: We’re hiring an AI/ML Engineer who can build scalable and intelligent systems using FastAPI , FAISS , and vector search technologies . If you’re passionate about retrieval-augmented generation (RAG), semantic search, and deploying real-world ML pipelines, we’d love to meet you! Key Responsibilities: Build, optimize, and maintain scalable ML APIs using FastAPI Implement and manage vector-based search systems using FAISS , Pinecone , or similar tools Create and serve embeddings using transformer models for semantic search, recommendations, or chatbot systems Design and deploy RAG (retrieval-augmented generation) pipelines using LLMs Work with large unstructured datasets (text, documents, etc.) to extract features and build indexes Collaborate with data scientists and backend engineers to integrate models into production Monitor and improve model performance and API latency in production environments Required Skills: Strong experience with Python and FastAPI Hands-on with FAISS and vector similarity search concepts Familiarity with sentence-transformers , Hugging Face , or OpenAI embeddings Working knowledge of vector databases like FAISS, Weaviate, Pinecone, or Qdrant Experience with NLP pipelines , tokenization , and text preprocessing Comfortable with RESTful APIs, JSON, and basic cloud deployment (e.g., AWS/GCP) Bonus/Good to Have: Experience with LangChain , LLMs , or RAG architecture MLOps practices for model serving and monitoring Exposure to Docker , Kubernetes , Airflow , or CI/CD pipelines Prior experience deploying LLM-based search or Q&A systems Ideal Candidate Profile: 2–4 years of experience in AI/ML engineering or backend roles with ML focus Comfortable building APIs that connect machine learning models to real users Familiar with working in fast-paced, agile environments Curious about LLMs, embeddings, and real-time AI applications Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,500,000.00 per year Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory , our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI , our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn , X , YouTube , and Facebook . Inviting applications for the role of Lead Associate – EUC Platform We are seeking candidates with good hands-on experience in macOS support, Agentic systems, and application packaging. A foundational understanding of integrating Generative AI capabilities—such as working with OpenAI APIs and prompt engineering—is highly desirable. The role also requires experience with cloud deployments and a solid working knowledge of device management tools like SCCM or equivalent Responsibilities Design, develop, and implement solutions leveraging Generative AI technologies, including integration of OpenAI APIs into enterprise workflows or applications. Create, test, and optimize prompts for various use cases to ensure accurate and contextually relevant AI responses. Collaborate with cross-functional teams to identify opportunities for AI-driven automation, personalization, or decision support. Monitor API usage, performance, and cost to ensure scalable and efficient implementation of AI features. Stay updated on advancements in large language models (LLMs), prompt engineering techniques, and AI safety best practices. Build reusable prompt libraries and maintain documentation for internal teams and stakeholders. Troubleshoot AI integration issues and provide guidance on fine-tuning responses for business-specific requirements. Thin Clients, MACs, Chrome Books support added advantage. Excellent in customer calls/Meeting/escalation handling & delivery for 24/7 IT operations, able to work on pressure. Good communication Skills Inspect and troubleshoot HTTP request headers, payloads, and responses from OpenAI APIs, addressing issues such as authentication failures, rate limits, timeouts, and malformed inputs. Analyze prompt structures to diagnose inconsistent or irrelevant AI responses, and refine instructions to reduce issues like hallucinations, leakage, or unexpected completions. Investigate and resolve slow API response times or high inference latency caused by model selection or integration bottlenecks; optimize prompt design and leverage batching where applicable. Address issues related to token limit exceedance by implementing prompt truncation or response summarization strategies. Troubleshoot errors caused by exceeded API rate limits or usage quotas, and apply appropriate handling mechanisms. Resolve access issues related to network environments, including firewall restrictions, VPN conflicts, or proxy configurations. Monitor and adapt to changes in OpenAI API versions or deprecated endpoints to ensure integration stability. Investigate potential data privacy risks, unsecured connections, or policy non-compliance in AI integrations. Configure error logging and monitoring systems to capture failed interactions, analyze edge cases, and continuously improve prompt and API performance. Qualifications Minimum Qualifications Bachelor’s degree or certification from an accredited institution in technology good experience or equivalent training Preferred qualifications Technical certification (MS Azure fundamentals) will be added benefit Excellent communication skills and strong customer service skills Why join Genpact? Lead AI-first transformation – Build and scale AI solutions that redefine industries Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career —Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Lead Associate Primary Location India-Gurugram Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Jul 22, 2025, 4:04:38 AM Unposting Date Ongoing Master Skills List Consulting Job Category Full Time

Analytics Posted on Jul 22, 2025 Vadodara-Gujarat Minimum Required Experience : 3 years Full Time Skills Machine Learning TensorFlow Pytorch NLP Description Designation/Role Name Machine Learning Engineer Org Structure Data Science & AI Team Work Schedule According to the business needs Job Description With excellent analytical and problem-solving skills, you should understand business problems of the customers, translate them into scope of work and technical specifications for developing into Data Science projects. Efficiently utilize cutting edge technologies in AI areas (Machine Learning, NLP, Computer Vision) and development of solutions for business problems. Good exposure technology platforms for Data Science, AI, Gen AI, cloud with implementation experience. Ability to understand data, requirements, design and develop a Machine Learning Model for the requirements. This Job requires the following: Designing, developing, and implementing end-to-end machine learning production pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation) Experience in predictive analytics and statistical modeling Experience in successfully making use of the following: Logistic Regression Multivariate Regression, Support Vector Machines, Stochastic Processes, Decision Trees, Lifetime analysis, common clustering algorithms, Optimization, CNN Essential Qualifications B-Tech or BE - computer / IT or MCA or MSC- Computer Science along with necessary certifications is preferred Technical Qualifications (Essential) Hands-on programming experience Hands-on technical design experience Hands-on prompt engineering experience Design and Development of at least 3 Data Science, AI Projects with design and development of Machine Learning models 1 Generative AI Project designed, developed and delivered to production is desirable Primary Skills Hands-on coding experience in Python, PyTorch, Spark/PySpark, SQL, TensorFlow, NLP Frameworks and similar tools/frameworks Good understanding of business and domain of the applications Hands-on experience in design and development of Gen AI applications using Open Source LLMs and cloud platforms Hands-on experience in design and development of API based applications for AI and Data Science Projects Understanding in GenAI concepts, RAG and Models fine-tuning techniques is desirable Understand the concepts of major AI models such as OpenAI, Llama, Hugging Face, Mistral AI etc., Understanding of DevOps pipelines for deployment Good understanding of Data Engineering lifecycle – data pipelines, data warehouse, data lake Secondary Skills Experience using Databricks and Azure Data platform Knowledge of any configuration management tools is desirable Familiarity with containerization and container orchestration services like Docker and Kubernetes Experience 3+ years in Machine Learning Model development in Data Science/AI Projects. Awareness of LLM integrations / development is desirable. Description of Responsibility Understand customer’s requirements (Business, Functional, Non-Functional etc.,), design and develop Machine Learning Models Design and implement Machine Learning Models using major technology and computing platforms (open source and cloud) Possess excellent analytical and problem-solving skills and be able to understand various forms of data, patterns and derive insights. Collaborate internal and external stakeholders for deriving solution that requires cross functional teams and smoother execution of the projects Knowledge of data modeling and understanding of different data structures Experience with design of AI/ML solutions either as standalone or integrated with other applications Experience in Generative AI solutions for the business/automation requirements using open source LLMs (Open AI, LLama, Mistral etc.,) is desirable Sills / Competencies requirement Research Orientation Proactive & Clear Communication Collaboration Solution Orientation Solution Articulation Accountability Adaptability / Flexibility Analytical Skills Listening Skills Customer Service Orientation

About MostEdge MostEdge empowers retailers with smart, trusted, and sustainable solutions to run their stores more efficiently. Through our Inventory Management Service, powered by the StockUPC app , we provide accurate, real-time insights that help stores track inventory, prevent shrink, and make smarter buying decisions. Our mission is to deliver trusted, profitable experiences—empowering retailers, partners and employees to accelerate commerce in a sustainable manner. Job Summary: We are hiring an experienced AI Engineer / ML Specialist with deep expertise in Large Language Models (LLMs) , who can fine-tune, customize, and integrate state-of-the-art models like OpenAI GPT, Claude, LLaMA, Mistral, and Gemini into real-world business applications . The ideal candidate should have hands-on experience with foundation model customization , prompt engineering , retrieval-augmented generation (RAG) , and deployment of AI assistants using public cloud AI platforms like Azure OpenAI, Amazon Bedrock, Google Vertex AI , or Anthropic’s Claude . Key Responsibilities: LLM Customization & Fine-Tuning Fine-tune popular open-source LLMs (e.g., LLaMA, Mistral, Falcon, Mixtral) using business/domain-specific data. Customize foundation models via instruction tuning , parameter-efficient fine-tuning (LoRA, QLoRA, PEFT) , or prompt tuning . Evaluate and optimize the performance, factual accuracy, and tone of LLM responses. AI Assistant Development Build and integrate AI assistants/chatbots for internal tools or customer-facing applications. Design and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain , LlamaIndex , Haystack , or OpenAI Assistants API . Use embedding models , vector databases (e.g., Pinecone, FAISS, Weaviate, ChromaDB ), and cloud AI services. Must have experience of finetuning, and maintaining microservices or LLM driven databases. Cloud Integration Deploy and manage LLM-based solutions on AWS Bedrock , Azure OpenAI , Google Vertex AI , Anthropic Claude , or OpenAI API . Optimize API usage, performance, latency, and cost. Secure integrations with identity/auth systems (OAuth2, API keys) and logging/monitoring. Evaluation, Guardrails & Compliance Implement guardrails , content moderation , and RLHF techniques to ensure safe and useful outputs. Benchmark models using human evaluation and standard metrics (e.g., BLEU, ROUGE, perplexity). Ensure compliance with privacy, IP, and data governance requirements. Collaboration & Documentation Work closely with product, engineering, and data teams to scope and build AI-based solutions. Document custom model behaviors, API usage patterns, prompts, and datasets. Stay up-to-date with the latest LLM research and tooling advancements. Required Skills & Qualifications: Bachelor’s or Master’s in Computer Science, AI/ML, Data Science, or related fields. 3–6+ years of experience in AI/ML, with a focus on LLMs, NLP, and GenAI systems . Strong Python programming skills and experience with Hugging Face Transformers, LangChain, LlamaIndex . Hands-on with LLM APIs from OpenAI, Azure, AWS Bedrock, Google Vertex AI, Claude, Cohere, etc. Knowledge of PEFT techniques like LoRA, QLoRA, Prompt Tuning, Adapters . Familiarity with vector databases and document embedding pipelines. Experience deploying LLM-based apps using FastAPI, Flask, Docker, and cloud services . Preferred Skills: Experience with open-source LLMs : Mistral, LLaMA, GPT-J, Falcon, Vicuna, etc. Knowledge of AutoGPT, CrewAI, Agentic workflows , or multi-agent LLM orchestration . Experience with multi-turn conversation modeling , dialogue state tracking. Understanding of model quantization , distillation , or fine-tuning in low-resource environments. Familiarity with ethical AI practices , hallucination mitigation, and user alignment. Tools & Technologies: LLM Frameworks - Hugging Face, Transformers, PEFT, LangChain, LlamaIndex, Haystack LLMs & APIs - OpenAI (GPT-4, GPT-3.5), Claude, Mistral, LLaMA, Cohere, Gemini, Azure OpenAI Vector Databases - FAISS, Pinecone, Weaviate, ChromaDB Serving & DevOps - Docker, FastAPI, Flask, GitHub Actions, Kubernetes Deployment Platforms - AWS Bedrock, Azure ML, GCP Vertex AI, Lambda, Streamlit Monitoring - Prometheus, MLflow, Langfuse, Weights & Biases Benefits: Competitive salary with performance incentives. Work with cutting-edge GenAI and LLM technologies. Build real-world products using state-of-the-art AI research. Job Types: Full-time, Permanent Pay: From ₹400,000.00 per year Benefits: Health insurance Life insurance Paid sick time Paid time off Provident Fund Schedule: Evening shift Monday to Friday Morning shift Night shift Rotational shift US shift Weekend availability Supplemental Pay: Performance bonus Quarterly bonus Yearly bonus Work Location: In person Application Deadline: 25/07/2025 Expected Start Date: 01/08/2025

Job Type: Full Time Job Location: Ahmedabad We are looking for a dynamic AI & Automation Strategist to drive the implementation of intelligent, automation-first solutions across internal departments. This role is ideal for someone who thrives on solving problems through technology and has a systems-thinking approach to optimize workflows. You’ll work cross-functionally to embed AI tools and automation into everyday operations, transforming the way our teams work and deliver value. Key Responsibilities Identify opportunities for AI and automation across departments such as Sales, Project Management, Development, QA, SEO, Design, and HR. Design and manage efficient workflows using n8n, Zapier, or other automation tools to streamline internal processes. Coordinate with team leads to evaluate inefficiencies and recommend AI-powered solutions. Integrate AI into QA and development tasks like documentation, testing, and repetitive coding workflows. Collaborate with the Sales team to automate CRM updates, lead nurturing flows, email campaigns, and reporting. Develop internal tools, scripts, or dashboards that support day-to-day team functions. Guide teams on how to effectively use AI tools, craft prompts, and ensure ethical usage practices. Pilot new tools, evaluate results, and continuously refine implementation strategies. Provide technical input and support for AI-based internal projects. Desired Skills Minimum 6 months of hands-on experience in AI or automation-related projects. Familiarity with low-code/no-code platforms (n8n, Zapier, Make, or similar). Working knowledge of AI APIs/tools such as OpenAI, Hugging Face, or Google Vertex AI. Basic proficiency in JavaScript or Python for task automation and API integration. Understanding of frontend/backend workflows (HTML, CSS, PHP) and QA cycles. Ability to build simple tools and integrations to enhance team productivity. Strong analytical and problem-solving skills with attention to documentation. Effective communicator with the ability to explain technical ideas to non-technical users. Nice to Have Experience building internal tools or automations to improve team workflows. Exposure to concepts like vector databases, LangChain, or agent-based automation. Previous involvement in AI/automation training or workshops. Awareness of AI ethics and best practices in data usage. Familiarity with automation in development pipelines or DevOps environments.

Job Title: Senior Java Developer Location: Noida, Pune, Chennai(Hybrid) Skills: ● Strong proficiency in Java. ● Strong experience in building applications that interact with relational databases using SQL. ● Some experience of Enterprise Java (J2EE / JavaEE / Spring) application architectures. ● History of delivering high-cadence modern applications with applied Agile methodologies, test-first development approaches, adopting CI/CD pipelines and using Git version control. Nice-to-have skills ● Working knowledge of microservices architectures and Domain-Driven Design approaches. ● Some experience and knowledge of Python. ● Some experience and knowledge of JavaScript/Node.js. ● Some experience and knowledge of ORMs like Hibernate or JPA. Extra bonus skills (if missing, we will provide rapid onboarding enablement on these): ● Some experience in nascent GenAI technologies and approaches, such as using OpenAI API with GPT LLMs ● Practical experience of using MongoDB Requirements ● 5 to 7 years’ of experience working as a software developer. call& msg- 9916086641 Job Type: Contractual / Temporary Pay: ₹1,100,000.00 - ₹1,500,000.00 per year Location Type: In-person Work Location: In person

CONSULTANT Noida 7-9 Years INDIA Job Description (Posting). Lead the design, development, and deployment of Generative AI models and solutions on cloud platforms such as Microsoft Azure, AWS, or GCP.Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.Drive the end-to-end lifecycle of AI/ML projects, from data collection and preprocessing to model training, evaluation, and deployment.Mentor and guide junior team members, fostering a culture of continuous learning and innovation.Stay updated with the latest advancements in Generative AI and AI/ML technologies, and integrate them into ongoing projects.Optimize and fine-tune AI models for performance, scalability, and reliability.Develop and maintain comprehensive documentation for all AI/ML projects and processes.Qualifications:10-13 years overall IT experience. Out of which 3-4 years hands-on experience in AI/ML, and at least 1 year in Generative AI.Strong proficiency in Python programming and experience with AI/ML frameworks, models and algorithms. Strong experience with leading LLMs, RAG, agentic automation, and agent frameworks like Lang Chain, Lang Graph, AutoGen, AutoGPT for Generative AI use-cases.Hands-on experience in Gen AI observability & monitoring via tools like Lang SmithExperience with deep learning, CNN, NLP, text-to-speech, speech-to-text, OCR, and image processing techniques.Experience in Infrastructure related use-cases leveraging Autonomous Agents and/or agentic platform. Should have hands-on experience building Autonomous agents for Gen AI related use-cases.Extensive experience with cloud platforms (Microsoft Azure/AWS/GCP/IBM WatsonX) and their AI/ML services.Extensive experience in Prompt Engineering and ability to design and build Prompt libraries for various scenarios applicable in Infrastructure.Thorough understanding of Responsible AI best practices and standards and experience of implementing them in Gen AI related projectsProven track record of leading and delivering complex AI/ML projects.Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.Strong communication and leadership skills, with the ability to articulate technical concepts to non-technical stakeholders.Preferred Skills:Experience with natural language processing (NLP) and computer vision.Familiarity with MLOps practices and tools.Knowledge of data engineering and big data technologies. (1.) To adhere to quality standards, regulatory requirements and company policies (2.) To ensure positive customer experience and CSAT through First Call Resolution and minimum rejected resolutions / Reopen Cases (3.) To participate or contribute on EN business in creation of proposals to drive Service improvement plans. (4.) To independently resolve tickets & esnure that the agreed SLA of ticket volume and time are met for the team. (5.) To provide support for on call escalations /L3 level support and doing incident & problem management (6.) Work on value adding activities such Knowledge base update & management, Training freshers, coaching analysts & conducting interviews/participation in hiring drives. Qualification B-Tech No. of Positions 1 Skill (Primary) Data Science-Artificial Intelligence-Gen AI Auto req ID 1486356BR Skill Level 3 (Secondary Skill 1) Data Science-Artificial Intelligence-Azure OpenAI Skill Level 3 (Secondary Skill 2) Microsoft-Azure Analytics-Azure ML

Role Summary: We are seeking a highly skilled and hands-on AI/ML Engineer with 1+ years of experience in design, development, and deployment of cutting-edge generative AI solutions integrated with robust data engineering practices. The ideal candidate will work across our AI initiatives, including NLP, deep learning, and end-to-end ML/data pipelines Key Responsibilities ● AI/ML Architecture & Development ○ Implement and deploy machine learning models in production environments ○ Work with generative AI models and NLP techniques (e.g., OpenAI, Claude APIs) ○ Apply prompt engineering and retrieval-augmented generation (RAG) techniques ○ Build end-to-end ML workflows from data preprocessing to model evaluation ○ Contribute to the development of conversational AI solutions ● Software Engineering & Data Pipeline Development ○ Design, build, and maintain data pipelines and end-to-end ML workflows. ○ Build and deploy web services that integrate ML models ○ Implement APIs using frameworks like FastAPI or Flask ○ Work with databases (preferably MySql) and data processing tools ○ Ensure code quality, performance, and security in all implementations ● Deployment & Integration ○ Build production-grade ML models and APIs and deploy them on cloud platforms with the help of DevOps team. ○ Ability to Monitor, analyze, and optimize the performance of deployed models and data workflows with the help of Devops team ● Collaboration ○ Work closely with cross-functional teams including data scientists and software engineers ○ Contribute to a culture of learning and innovation ○ Adapt to challenges even when requirements are ambiguous Technical Requirements ● Programming & Frameworks: ○ Strong proficiency in Python with hands-on experience in TensorFlow, PyTorch, Keras, and related ML libraries/Ecosystem. ○ Experience with data science tools (pandas, NumPymatplotlib, scikit-learn) ● Generative AI Expertise: ○ Knowledge of generative AI models and frameworks, including OpenAI APIs, LangChain, LangGraph, Hugging Face Transformers, and related technologies. ○ Experience in fine-tuning large language models (LLMs) and implementing RAG systems leveraging vector databases like Pinecone or similar. ○ Experience in developing multi-agent Retrieval-Augmented Generation (RAG) applications, integrating automated workflows to streamline data retrieval, processing, and response generation. ● API Development: ○ Experience in developing and deploying APIs using frameworks like FastAPI or Flask. Qualifications : ● Bachelor’s degree in Computer Science, Engineering or related field. ● 3 years of hands-on experience in AI/ML engineering, with expertise in generative AI and data engineering. ● Excellent problem-solving, analytical, and communication skills. ● Ability to work independently in a fast-paced, dynamic environment while effectively collaborating with cross-functional teams.

About Illumina Technology Solutions, LLC At Illumina Technology Solutions, we are experiencing rapid growth across the U.S.A., Canada, India, and Pakistan and are proud to be a Microsoft Gold Partner. We are committed to providing technology solutions that help organizations thrive in a fast-changing digital landscape. Our vision is to become a leader in digital transformation for our clients, leveraging the power of the Microsoft digital ecosystem to drive innovation and growth. Visit us at www.illuminatechnology.com About the role We are seeking a highly skilled AI Lead Engineer—technical Consultant with expertise in designing and developing scalable, high-performance AI solutions. The ideal candidate will have extensive experience in artificial intelligence, machine learning, and generative AI and strong leadership skills to drive innovation and technical excellence. Essential Functions Collaborate with stakeholders, including project managers and technical leads, to define and understand business and technical requirements Design, develop, and optimize AI-powered applications, ensuring scalability, performance, and security Lead discussions on AI architecture, development best practices, and solution design Implement and fine-tune large language models (LLMs) and generative AI applications Apply prompt engineering techniques to enhance AI model interactions and outputs Develop and maintain clean, extensible, and maintainable code using modern programming languages Integrate Azure OpenAI, Copilot Studio, Azure AI Search, and other AI/ML platforms into enterprise solutions Apply debugging tools and analyze system logs to ensure high-quality code and system performance Drive continuous improvements through Agile development, CI/CD, and DevOps best practices Collaborate with cross-functional teams across different geographies to deliver AI-driven solutions that align with business objectives Must Have Skills Hands-on experience with Gen AI development, Prompt engineering, RAG design patterns, and multi-agent workflow automation and integration, preferably via Microsoft AI products like Copilot Exposure and experience working on large-scale data-intensive platforms Hands-on experience with Python and deep learning programming skills using PyTorch, TensorFlow, or similar Exposure to AI performance, consistency, and efficiency improvements Microsoft Specific Certification and Industry Certifications are a must-have Required Qualifications Bachelor’s degree in computer science, Engineering, or a related technical field 10+ years of technical engineering experience with expertise in at least one of the following programming languages: Python, C, C++, C#, Java, JavaScript Experience in Prompt Engineering and LLM fine-tuning Understanding of Azure OpenAI, Copilot Studio, Azure AI Search, and M365 Declarative Agent (Preferred) Experience in large language models (LLM) fine-tuning and prompt engineering Expertise in machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn Experience with AI-driven applications, generative AI, and NLP models Hands-on experience with Agile methodologies and CI/CD pipelines for AI solutions Strong problem-solving skills, with the ability to handle complex and large-scale AI projects Effective communication and collaboration skills to work with remote and diverse teams Preferred Qualifications Experience with Machine Learning Platforms and Systems Prior experience working with Microsoft Cloud-based AI solutions Prior experience leading AI/ML teams and mentoring junior engineers We are an equal opportunity employer. All applicants will be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

Job Title: Data Scientist / MLOps Engineer (Python, PostgreSQL, MSSQL) Location: Kolkata (Must) Employment Type: Full-Time Experience Level: 1–3 Years About Us: We are seeking a highly motivated and technically strong Data Scientist / MLOps Engineer to join our growing AI & ML team. This role involves the design, development, and deployment of scalable machine learning solutions, with a strong focus on operational excellence, data engineering, and GenAI integration. Key Responsibilities: Build and maintain scalable machine learning pipelines using Python. Deploy and monitor models using MLFlow and MLOps stacks. Design and implement data workflows using standard python libraries such as PySpark. Leverage standard data science libraries (scikit-learn, pandas, numpy, matplotlib, etc.) for model development and evaluation. Work with GenAI technologies, including Azure OpenAI and other open source models, for innovative ML applications. Collaborate closely with cross-functional teams to meet business objectives. Handle multiple ML projects simultaneously with robust branching expertise. Must-Have Qualifications: Expertise in Python for data science and backend development. Solid experience with PostgreSQL and MSSQL databases. Hands-on experience with standard data science packages such as Scikit-Learn, Pandas, Numpy, Matplotlib. Experience working with Databricks , MLFlow , and Azure . Strong understanding of MLOps frameworks and deployment automation. Prior exposure to FastAPI and GenAI tools like Langchain or Azure OpenAI is a big plus. Preferred Qualifications: Experience in the Finance, Legal or Regulatory domain. Working knowledge of clustering algorithms and forecasting techniques. Previous experience in developing reusable AI frameworks or productized ML solutions. Education: B.Tech in Computer Science, Data Science, Mechanical Engineering, or a related field. Why Join Us? Work on cutting-edge ML and GenAI projects. Be part of a collaborative and forward-thinking team. Opportunity for rapid growth and technical leadership. Job Type: Full-time Pay: ₹344,590.33 - ₹1,050,111.38 per year Benefits: Leave encashment Paid sick time Paid time off Provident Fund Work from home Education: Bachelor's (Required) Experience: Python: 3 years (Required) ML: 2 years (Required) Location: Kolkata, West Bengal (Required) Work Location: In person Application Deadline: 02/08/2025 Expected Start Date: 04/08/2025

Job Description: Python Developer (FastAPI + AI/GenAI Experience) Position Title: Python Developer – FastAPI & AI Integration Location: On-site (preferred) | Remote (optional based on skillset) Experience Required: Minimum 3 years in Python backend development Core Skills Requirements: • ✅ Strong experience in Python (3+ years). ✅ Hands-on expertise with FastAPI or similar modern Python web frameworks. ✅ Knowledge of Admin Panel Development using Django Admin, Flask Admin, or custom UIs. ✅ Understanding of API integrations, authentication (JWT/OAuth2), and database design. ✅ Good understanding of modern AI trends including: o Generative AI (GenAI) o Generative UI (GenUI) concepts o Integration with LLMs (OpenAI, Gemini, etc.) ✅ Familiarity with SQL & NoSQL databases (PostgreSQL, MySQL, MongoDB). ✅ Git version control and CI/CD familiarity. Roles & Responsibilities: Backend Development & Optimization: o Build, maintain, and scale RESTful APIs using FastAPI or Django. o Implement efficient backend logic for handling chatbot agents and AI workflows. Admin Panel & Dashboard Development: o Create and manage admin panels to monitor AI operations and model performance. o Develop intuitive tools for internal usage (e.g., content moderation, analytics viewers, etc.). AI Integration: o Work with the AI team to integrate GenAI models and APIs into the backend. o Support the deployment and monitoring of LLM pipelines (chatbots, text classification, etc.). Research & Innovation: o Stay updated with new GenAI and backend development tools. o Propose enhancements and adopt new tech trends for continuous improvement. Nice-to-Have (Optional but Preferred): Exposure to LangChain, LlamaIndex, or other AI orchestration tools. Experience with Docker, Kubernetes, and deployment pipelines. • Understanding of Vector Databases (FAISS, ChromaDB, etc.). Experience integrating third-party APIs and services (Google AI Studio, OpenAI, etc.). Basic frontend understanding (HTML/CSS, JS) for admin UIs. Job Type: Full-time Pay: ₹650,000.00 per year Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person Speak with the employer +91 9109134415

As a partner to businesses and governments, Crane Authentication offers expertise and cutting-edge innovations that protect and enhance products, secure identities, safeguard revenues and enforce compliance. Customers from different business sectors and levels of government trust our team of 1,250 people for their expertise in R&D, security design, engineering and data-driven insights. We are an integral part of Crane NXT , a c$2 billion dollar business with over 5,000 associates Summary : Crane Authentication provides a range of software platforms with sophisticated anti-counterfeit, anti-piracy, anti-fraud capabilities and track and trace solutions capable of handling billions of transactions per day. Our customers are global brands and Governments. We are seeking a highly skilled and forward-thinking AI Engineer experienced in designing, deploying, and operationalizing modern AI solutions using Generative AI , Agentic AI frameworks , Retrieval-Augmented Generation (RAG) , and Model Context Protocol (MCP) for intelligent multi-agent orchestration. In this role, you’ll build context-aware AI agents capable of dynamic memory management, tool-based reasoning, multi-modal interaction, and consistent state maintenance across distributed AI ecosystems. You’ll work at the forefront of autonomous AI system design integrating multi-model workflows, RAG pipelines, tool-augmented agents, and persistent context protocols. Key Accountability: Design, develop, and deploy advanced AI systems leveraging LLMs , multi-modal models , and autonomous agent frameworks . Architect and implement Retrieval-Augmented Generation (RAG) pipelines integrated with vector databases for dynamic, enterprise-safe context retrieval. Develop and manage context-aware AI agents leveraging Model Context Protocol (MCP) or equivalent structured context management mechanisms for persistent memory, multi-agent collaboration, and session continuity. Implement context propagation, state serialization, and contextual handoff mechanisms across distributed agents, tools, and reasoning chains. Integrate AI systems with cloud APIs, vector databases, plugin architectures, and orchestration frameworks for multi-step task execution. Optimize memory management, prompt engineering, and dynamic context windows for complex, long-running AI workflows. Lead AI agent orchestration initiatives using frameworks like LangChain , Semantic Kernel , CrewAI , or AutoGen , with MCP integration for context tracing and governance. Stay ahead of emerging trends in multi-agent LLM ecosystems , autonomous reasoning frameworks , and context-aware AI protocol standards like MCP. Required Experience: 3+ years of AI engineering experience, with direct expertise in: Generative AI (GenAI) frameworks (OpenAI, Hugging Face, Anthropic, Mistral) Agentic AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, CrewAI) Retrieval-Augmented Generation (RAG) system design and deployment Model Context Protocol (MCP) or structured context management solutions in multi-agent, multi-tool AI workflows Strong software engineering skills in Python , including AI/ML libraries like PyTorch , TensorFlow , Transformers , and RAG toolkits. Hands-on experience working with vector databases (Pinecone, FAISS, Weaviate, Chroma) and plugin-based AI architectures . Strong understanding of AI memory management, session context propagation, and multi-agent communication protocols. Programming framework/language: Python, JS or Java. Vector databases (Pinecone, FAISS, Weaviate, Chroma) and plugin-based AI architectures . Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Solid understanding of statistics, data structures, and algorithms. Preferred Skills: Experience integrating multi-modal models (text, image, audio, video) into agentic workflows. Familiarity with AI safety, observability, and context integrity management in distributed AI systems. Exposure to LLMOps pipelines , prompt optimization techniques, and AI agent performance tuning. Experience contributing to open-source AI orchestration frameworks or context management libraries. Understanding of AI alignment, ethical AI principles, and responsible AI design. Experience with Deep learning in NLP, computer vision, or reinforcement learning. Education Qualification: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field. 4+ years of experience working as a software engineer developing commercial software. Experience using collaborative tools such as: Slack, Microsoft Teams, and Jira. Common to all roles To ensure full participation in the performance development review (PDR) process and maintain an up-to-date record of all training and development activities/programs. To always act and behave in a way compliant with all Crane Authentication’s company guidelines and policies, especially those relating to values and behaviours, environmental health and safety, ethics and codes of conduct, as it is through living our values that we strengthen the culture of our business and demonstrate our understanding of our Code of Business Principles. Further information on our company values can be found in our “Living the Values” guidelines. WHAT’S IN IT FOR YOU? Work for a market leading, established product company. Nice modern offices with great facilities. Health Insurance. 24 days holidays plus national holidays. Life Insurance. Crane Authentication is part of Crane NXT Crane NXT is a premier industrial technology company that provides proprietary and trusted technology solutions to secure, detect, and authenticate what matters most to its customers. Crane NXT has approximately 5,000 employees with global operations and manufacturing facilities in the United States, the United Kingdom, Mexico, Japan, Switzerland, Germany, Sweden, and Malta. For more information, visit www.cranenxt.com. We value diversity at our company. Everyone who applies with the qualifications will receive consideration for employment without regard to: age, colour, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law. We receive a high number of applications, so apologies if we are unable to provide specific feedback. If we feel you are a fit for the role, we’ll be in contact.