1857 Openai Jobs - Page 47

About Epikdoc AI At Epikdoc AI , we're on a mission to redefine healthcare documentation and diagnostics through intelligent automation. From AI-powered dental diagnostics to telehealth practice tools , we are building seamless and scalable platforms that empower doctors, patients, and insurers alike. If you’re excited about solving real-world problems through AI and automation, we’d love to hear from you! Role Overview We are looking for a Python Developer with strong backend expertise, particularly in Django , to join our fast-growing tech team. This role is perfect for someone who thrives in a startup environment and wants to build products that impact thousands of clinicians and patients globally . Key Responsibilities Design, develop, and maintain backend systems using Python, Django (primary) , and optionally Flask or FastAPI. Build secure, efficient RESTful APIs and support frontend integration. Collaborate closely with frontend developers, AI engineers, and product managers to deliver seamless experiences. Integrate systems such as payment gateways, user authentication , and third-party APIs. Manage and query databases including MySQL, PostgreSQL, and MongoDB . Set up Docker containers and contribute to deployment on AWS or similar cloud platforms . Write clean, maintainable, scalable code and conduct peer reviews. Contribute to CI/CD pipelines and version control with Git. Stay updated on backend, AI, and DevOps trends, bringing best practices into the team. Requirements Proficient in Python with 2+ years of experience in Django . Experience building scalable web applications and APIs. Familiarity with HTML, CSS, JS for backend-frontend integration. Solid grasp of SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB). Experience with Docker, AWS, Git , and version control workflows. Integration experience with Stripe, Razorpay , Firebase, etc. Excellent debugging, problem-solving, and performance optimization skills. Nice to Have Experience with FastAPI, WebSockets, GraphQL , or asynchronous frameworks . Familiarity with AI/ML , especially NLP and LLMs (OpenAI, Hugging Face). Experience with Celery, Redis, RabbitMQ or other task/message queues. Exposure to Sentry, Prometheus, Grafana for monitoring/logging. Contributions to open-source projects or past freelance experience. Why Join Us? Work on meaningful AI-driven healthcare tools used by doctors across the world Be part of a small, passionate, and growing team—your voice matters Flexible working hours Be a founding tech team member in a backed, fast-scaling startup Ready to Build the Future of Healthcare Tech? 👉 Apply now with your resume, GitHub (or portfolio), and a short note on why you’re excited about Epikdoc AI. Show more Show less

Job Details Job Description: Join Altera, a leader in programmable logic technology, as we strive to become the #1 FPGA company. We are looking for a skilled Jr. Data Scientist to develop and deploy production-grade ML pipelines and infrastructure across the enterprise. This is a highly technical, hands-on role focused on building scalable, secure, and maintainable machine learning solutions within the Azure ecosystem. As a member of our Data & Analytics team, you will work closely with other data scientists, ML specialists, and engineering teams to operationalize ML models using modern tooling such as Azure Machine Learning, Dataiku, and Kubeflow, etc. You’ll drive MLOps practices, automate workflows, and help build a foundation for responsible and reliable AI delivery. Responsibilities Design, build, and maintain automated ML pipelines from data ingestion through model training, validation, deployment, and monitoring using Azure Machine Learning, Kubeflow, and related tools. Deploy and manage machine learning models in production environments using cloud-native technologies like AKS (Azure Kubernetes Service), Azure Functions, and containerized environments. Partner with data scientists to transform experimental models into robust, production-ready systems, ensuring scalability and performance. Drive best practices for model versioning, CI/CD, testing, monitoring, and drift detection using Azure DevOps, Git, and third-party tools. Work with large-scale datasets from enterprise sources using Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, etc. Build integrations with platforms like Dataiku etc. to support collaborative workflows and low-code user interactions while ensuring underlying infrastructure is robust and auditable. Set up monitoring pipelines to track model performance, ensure availability, manage retraining schedules, and respond to production issues. Write clean, modular code with clear documentation, tests, and reusable components for ML workflows. Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 3+ years of hands-on experience developing and deploying machine learning models in production environments. Strong programming skills in Python, with experience in ML libraries such as scikit-learn, TensorFlow, PyTorch, or XGBoost. Proven experience with the Microsoft Azure ecosystem, especially: Azure Machine Learning (AutoML, ML Designer, SDK) Azure Synapse Analytics and Data Factory Azure Data Lake, Azure Databricks Azure OpenAI and Cognitive Services Experience with MLOps frameworks such as Kubeflow, MLflow, or Azure ML pipelines. Familiarity with CI/CD tools like Azure DevOps, GitHub Actions, or Jenkins for model lifecycle automation. Experience working with APIs, batch and real-time data pipelines, and cloud security practices. Why Join Us? Build and scale real-world ML systems on a modern Azure-based platform. Help shape the AI and ML engineering foundation of a forward-looking organization. Work cross-functionally with experts in data science, software engineering, and operations. Enjoy a collaborative, high-impact environment where innovation is valued and supported. Job Type Regular Shift Shift 1 (India) Primary Location: Ecospace 1 Additional Locations: Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Show more Show less

🚀 AI-Powered Marketing & Agent Architect – Future Business Unit Lead Company: Solvex Solutions Salary: Competitive + Growth-based Incentives At Solvex Solutions , we’re not building just another marketing agency—we’re creating the future of marketing. One powered by AI, automation, and intelligent agents . And we’re looking for the right person to help us lead the charge. We're hiring a Marketing Expert who can go far beyond traditional execution—someone who can design AI agents that think, act, and sell like human marketers and business developers. This is your chance to own the build of high-leverage systems and scalable go-to-market engines—powered by intelligent automation and generative AI. 🔍 What You’ll Do: Architect and launch automated marketing pipelines using platforms like Zapier, Make, HubSpot, and ActiveCampaign—integrated with AI for real-time content and decision-making. Design and deploy AI agents that replicate marketing and sales roles—handling outreach, nurturing, follow-ups, and even strategy prompts. Lead campaign execution across SEO, email, paid social, and influencer outreach—where automation amplifies human creativity. Build reusable “growth kits” for clients—pre-built automations, templates, and content engines. Work directly with founders to test, refine, and expand the core business model. 🧠 What You Bring: Proven digital marketing experience with a track record of leveraging AI and automation at scale . Deep technical knowledge of agent frameworks (e.g., OpenAI Assistants, AutoGPT, LangChain, etc.) and how they apply to marketing and sales use cases. Expertise in creating multi-step, context-aware marketing agents that can perform tasks, handle lead flow, and execute micro-strategies independently. Familiarity with content tools (ChatGPT, Jasper, Notion, Canva), campaign builders (Meta Ads, Google Ads), and CRM integrations. Strategic mindset—you can see where automation ends and human creativity begins. 🔮 Where This Can Go: Help us build the foundations of an AI-driven marketing services business and you won’t just have a job—you’ll be on the path to leading a full business unit . If you can prove the model, you’ll shape the offering, the team, and the future of the brand. Please share your CV at dhaivat@solvex-solutions.com Show more Show less

Responsibilities RESPONSIBILITIES Project Leadership: Manage ICERTIS GenAI application implementations. Take ownership of customer relationships for enterprise clients. Team Development: Build and foster internal consulting capabilities within the AI implementation team. Hire, develop, and manage a team of professionals to ensure timely, quality project delivery. Serve as a role model for project management, best practices, proactive action, and creative problem-solving. Client Engagement & Delivery: Define project scope in collaboration with business teams to ensure optimal implementation. Drive system configuration, deployment activities, and deliver high-quality solutions. Maintain strong customer relationships, serving as the company sponsor for key deployments. Serve as an escalation point for clients, ensuring smooth delivery and issue resolution. Cross-Functional Collaboration: Work closely with sales, presales, support, training, and development teams to drive customer success. Review key project deliverables with teams and provide accurate forecasts to management. Process & Documentation: Develop and maintain project plans, including task assignments, training materials, reports, process flows, dashboard metrics, etc. Strategic Contribution: Contribute to the product roadmap through insights from customer interactions and implementation experience. Build an organization that supports successful implementations of the Icertis Contract Management product. Travel: Willingness to travel to client sites for project-related meetings. Qualifications QUALIFICATIONS Experience: 20–25 years of experience, with a proven track record in enterprise application implementation. Prior experience in Contract Management or Supply Chain application implementations preferred. Recent experience managing GenAI projects/solutions for enterprise customers. Deep exposure to AI models, especially Azure OpenAI and ChatGPT. Skills & Competencies: Expertise in end-to-end enterprise project management and delivery. Strong analytical and problem-solving skills with a data-driven approach. Excellent written and verbal communication, with strong CXO-level presentation skills. Comfortable in a hands-on contributor role. Skilled in process improvement, decision making, planning, and standard development. Education: Bachelor’s degree in Science or Engineering (mandatory). MBA preferred. About Us Icertis is the global leader in AI-powered contract intelligence. The Icertis platform revolutionizes contract management, equipping customers with powerful insights and automation to grow revenue, control costs, mitigate risk, and ensure compliance - the pillars of business success. Today, more than one third of the Fortune 100 trust Icertis to realize the full intent of millions of commercial agreements in 90+ countries. About The Team Who we a re: Icertis is the only contract intelligence platform companies trust to keep them out in front, now and in the future. Our unwavering commitment to contract intelligence is grounded in our FORTE values—Fairness, Openness, Respect, Teamwork and Execution—which guide all our interactions with employees, customers, partners, and stakeholders. Because in our mission to be the contract intelligence platform of the world, we believe how we get there is as important as the destination. Icertis, Inc. provides Equal Employment Opportunity to all employees and applicants for employment without regard to race, color, religion, gender identity or expression, sex, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Icertis, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to careers@icertis.com or get in touch with your recruiter. Show more Show less

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education. We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools. Key Responsibilities Technical Leadership: Lead the end-to-end design and implementation of Generative AI solutions. Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects. Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs). Solution Development: Architect, train, and fine-tune state-of-the-art LLMs and generative AI models Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning. Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform Ensure scalability, performance, and security of AI solutions deployed in production. Integration and Deployment: API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications. Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services. Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs. Leverage MLOps practices for continuous model monitoring, retraining, and improvement. Data Strategy and Preparation: Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning. Implement data governance and privacy practices in line with organizational policies. Innovation and Research: Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning. Evaluate and recommend AI frameworks, libraries, and platforms for project requirements. Stakeholder Collaboration: Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases. Present technical concepts, project progress, and AI capabilities to non-technical audiences. Key Requirements Technical Skills: Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI. Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF) Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms. Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models. Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn. Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker. Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred). 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI. Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science Proven track record of leading AI projects from inception to production. Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF). Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning). Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Candidate Privacy Policy Orion Systems Integrators, LLC And Its Subsidiaries And Its Affiliates (collectively, “Orion,” “we” Or “us”) Are Committed To Protecting Your Privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) Explains What information we collect during our application and recruitment process and why we collect it; How we handle that information; and How to access and update that information. Your use of Orion services is governed by any applicable terms in this notice and our general Privacy Policy. Show more Show less

Job Title: Solution Engineer Location: Chennai-Hybrid Type: C2H Why MResult? Founded in 2004, MResult is a global digital solutions partner trusted by leading Fortune 500 companies in industries such as pharma & healthcare, retail, and BFSI. MResult’s expertise in data and analytics, data engineering, machine learning, AI, and automation help companies streamline operations and unlock business value. As part of our team, you will collaborate with top minds in the industry to deliver cutting-edge solutions that solve real-world challenges. Website: https://mresult.com/ LinkedIn: https://www.linkedin.com/company/mresult/ What We Offer: At MResult, you can leave your mark on projects at the world’s most recognized brands, access opportunities to grow and upskill, and do your best work with the flexibility of hybrid work models. Great work is rewarded, and leaders are nurtured from within. Our values — Agility, Collaboration, Client Focus, Innovation, and Integrity — are woven into our culture, guiding every decision. What This Role Requires In the role of Solution Engineer , you will be a key contributor to MResult’s mission of empowering our clients with data-driven insights and innovative digital solutions. Each day brings exciting challenges and growth opportunities. Here is what you will do: Roles and responsibilities: Evaluates and implements solutions to meet business requirements, ensuring consistent usage and adherence to data management best practices. Collaborates with product owners to prioritize features and manage technical requirements based on business needs, new technologies, and known issues. Develops application design and documentation for leadership teams. Assists in defining the vision for the shared data model, including sourcing, transformation, and loading approaches. Manages daily operations of the team, ensuring on-time delivery of milestones. Accountable for end-to-end delivery of program outcomes within budget, aligning with relevant business units. Fosters collaboration with internal and external stakeholders, including software vendors and data providers. Works independently with minimal supervision, capable of making recommendations. Demonstrate a solid ability to tell a story with simplistic views of complex datasets. Deliver data reliability, efficiency, and best-in-class data governance, ensuring security and compliance. Will be an integral part of developing best-in-class solution for the GAV organization. Build dashboard and reporting proofs of concept as needed; develop reporting and analysis templates and tools. Work in close collaboration with business teams throughout MASPA (Market Access Strategy Pricing and Analytics) to determine tool functionality/configuration and data requirements to ensure that the analytic capability is supporting the most current business needs. Partner with the Digital Client Partners to align on priorities, processes and governance and ensure experimentation to activate innovation and pipeline value. Must - have Qualifications: Bachelor’s degree in computer science, Software Engineering, or engineering related area. 5+ years of relevant experience emphasizing data modelling, development, or systems engineering. 1+ years with a data visualization tool (e.g. Tableau, Power BI). 2+ Years of experience in any number of the following tools, languages, and databases: (e.g. MySQL, SQL, Aurora DB, Redshift, Snowflake). Demonstrated capabilities in integrating and analysing heterogeneous datasets; Ability to identify trends, identify outliers and find patterns. Demonstrated expertise and capabilities in matrixed, cross-functional teams and influencing without authority. Proven experience and demonstrated skills with AWS services, Tableau, Airflow, Python and Dataiku. Must be experienced in DevSecOps tools JIRA, GitHub. Experience in Database design tools. Deep knowledge of Agile methodologies and SDLC processes. Excellent written, interpersonal, and oral communication skills, communicate and liaise broadly across functions and the global organization. Strong analytical, critical thinking, and troubleshooting skills. Ambition to learn and utilize emerging technologies while working in a stimulating team environment. Nice-to-Have: Advanced degree in Computer Engineering, Computer Science, Information Systems or related discipline. Knowledge with GenAI and LLMs framework (OpenAI, AWS). US Market Access functional knowledge and data literacy. Statistical analysis to understand and improve possible limitations in models. Experience in AI/ML frameworks. Pytest and CI/CD tools. Experience in UI/UX design. Experience in solution architecture & product engineering. Manage, Master, and Maximize with MResult MResult is an equal-opportunity employer committed to building an inclusive environment free of discrimination and harassment. Take the next step in your career with MResult — where your ideas help shape the future. Show more Show less

**Job Description: Team Leader - Development** (www.caerusitconsulting.com) Location: Kolkata India Full time Shift Timing: 10:30 to 19:30 Working Days : Monday to Friday (might have to work occasionally on Saturdays to meet deadlines) Salary Range: 12 to 24 LPA Interview Process : 2 Technical Rounds and 1 HR round Ready to Hire from Out of Kolkata Candidates : Yes **Position Overview:** We are seeking a highly skilled and experienced Team Leader for Development to lead and manage our development teams. The ideal candidate will possess a strong technical background, exceptional leadership abilities, and a proven track record of successfully managing both local and remote teams. This role involves overseeing all aspects of software development, ensuring adherence to best practices, and fostering collaboration across teams to deliver high-quality solutions. **Key Responsibilities:** 1. **Team Management:** - Lead, mentor, and manage a team of developers, including local and remote members. - Foster a collaborative and inclusive team environment to ensure high levels of engagement and productivity. - Conduct regular performance evaluations and provide constructive feedback. 2. **Project Oversight:** - Oversee the planning, execution, and delivery of software development projects. - Collaborate with stakeholders to define project scope, objectives, and timelines. - Monitor project progress and address any roadblocks to ensure timely delivery. 3. **Technical Leadership:** - Create and review Technical and Functional Design Requirements documents. - Ensure adherence to coding standards, best practices, and industry guidelines. - Conduct code reviews to maintain high-quality standards and identify areas for improvement. 4. **Communication:** - Facilitate effective 360-degree communication between team members, stakeholders, and leadership. - Act as a liaison between technical teams and non-technical stakeholders to ensure alignment on project goals and requirements. 5. **Process Improvement:** - Establish, implement, and continuously refine best practices and coding standards. - Promote Agile methodologies and Scrum practices to optimize team workflows. - Identify opportunities for process improvements and drive initiatives to enhance team efficiency. 6. **Requirements Management:** - Collaborate with stakeholders to gather and scope project requirements. - Translate business needs into actionable technical specifications. 7. **Additional Responsibilities:** - Serve as a Scrum Master when necessary, facilitating Agile ceremonies and removing impediments. - Stay up-to-date with emerging technologies and trends to drive innovation within the team. 8. **Qualifications and Skills:** - At least 10 years of experience leading development teams in a fast-paced environment. - Excellent technical knowledge and exhaustive hands-on experience with Core Java, Python and NodeJS. - Hands-on experience with AI/ML projects and familiarity with OpenAI API will be preferred. - Proven experience managing local and remote teams. - Strong understanding of software development lifecycle (SDLC) and Agile methodologies. - Proficiency in creating and reviewing Technical and Functional Design Requirements documents. - Excellent communication and interpersonal skills for effective 360-degree communication. - Demonstrated ability to scope and manage project requirements effectively. - Hands-on experience with implementing best practices and coding standards. - Scrum Master certification or experience is a strong plus. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. **What We Offer:** - A dynamic and collaborative work environment. - Opportunities for professional growth and development. - Competitive salary and benefits package. - The chance to work with cutting-edge technologies and drive impactful projects. If you’re a results-oriented leader with a passion for driving technical excellence and team success, we’d love to hear from you. Apply today to join Show more Show less

Job Title: Generative AI Engineer Location: Remote Experience: 4 to 7 Years Job type - Contractual About the Role: We are seeking talented and experienced Generative AI Engineers to join our growing remote team. In this role, you will be responsible for designing, developing, and deploying cutting-edge generative AI solutions using modern frameworks and LLM ecosystems. You’ll collaborate with cross-functional teams to build intelligent, scalable, and production-ready systems. Key Responsibilities: Design and develop microservice-based applications for AI use cases using Python and FastAPI Build and deploy LLM-based chatbots using GPT-4 , LangChain , and Azure OpenAI services Develop and maintain retrieval-augmented generation (RAG) pipelines using ChromaDB for document-based Q&A systems Integrate solutions with Azure AI tools and services for scalable deployment Implement effective prompt engineering techniques to optimize LLM performance Collaborate with DevOps and product teams to ensure high-quality delivery and reliability of AI solutions Optional: Work with LangGraph for advanced workflow orchestration in LangChain Required Skills & Qualifications: 4–7 years of overall experience in AI/ML, with at least 2 years in Generative AI Strong proficiency in Python and FastAPI Hands-on experience with GPT-4 , LangChain , and Azure OpenAI Experience working with ChromaDB or other vector databases Proven experience in microservices architecture and deployment Solid understanding of prompt engineering and chatbot development Strong debugging and problem-solving skills Nice to Have: Experience with LangGraph for managing complex LangChain workflows Familiarity with MLOps and CI/CD pipelines for AI model deployment What We Offer: Competitive compensation 100% remote working opportunity Work on state-of-the-art AI projects with a skilled and passionate team Opportunity to grow and learn in the rapidly evolving GenAI landscape Show more Show less

We are seeking a Full Stack Python Developer with strong experience in both frontend and backend development, and deep familiarity with Azure Cloud and serverless architecture. In this full-time role, you’ll build modern, scalable web applications and services using Python, JavaScript frameworks, and Azure-native tools. You’ll work cross-functionally to develop secure, performant, and user-friendly applications that run entirely in the cloud. Job Description: Responsibilities : Develop end-to-end web applications using Python for the backend and React / JavaScript for the frontend. Design, build, and deploy serverless applications on Microsoft Azure using services like: Azure Functions Azure API Management Azure Blob Storage Azure Cosmos DB / Mongo DB Strong experience with using Python Runtime inside Azure Functions, and building serverless functions using the Python v2 programming model and Azure Blueprints. Use Blueprints to define and register new Azure Functions Use Python Modules and an Object-Oriented Programming model to modularize function definition and implementation Build and maintain RESTful APIs, microservices, and integrations with third-party services. Work closely with designers, PMs, and QA to deliver high-quality, user-centric applications. Optimize applications for performance, scalability, and cost-efficiency on Azure. Implement DevOps practices using CI/CD pipelines. Write clean, modular, and well-documented code, following best practices and secure coding guidelines. Participate in sprint planning, code reviews, and agile ceremonies. Required Skills (Must Have): 3–5 years of professional experience in full stack development. Strong proficiency in Object-Orriented Python, with frameworks like FastAPI, Flask, or Django. Solid experience with frontend frameworks such as React.js, or similar. Proven experience with Azure Serverless Architecture, including: Azure Functions Azure API Management Azure Storage & Cosmos DB Understanding of event-driven architecture, and asynchronous APIs in Azure. Experience working with Azure Serverless functions including Durable Functions within Azure Experience with API integrations, secure data handling, and cloud-native development. Proficient in working with Git, Agile methodologies, and software development best practices. Ability to design and develop scalable and efficient applications. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with Azure App Service, Azure Key Vault, Application Insights, and Azure Monitor for observability and secure deployments. Familiarity with authentication and authorization mechanisms, such as Azure Active Directory (Azure AD), OAuth2, and JWT. Exposure to containerization technologies including Docker, Azure Container Registry (ACR), and Azure Kubernetes Service (AKS). Understanding of cost optimization, resilience, and security best practices in cloud-native and serverless applications. Knowledge of integration with Azure OpenAI service and working with LLM models inside Azure apps Knowledge of LLM frameworks such as LangChain, LlamaIndex, and experience in building intelligent solutions using AI agents and orchestration frameworks. Awareness of modern AI application architecture, including Retrieval-Augmented Generation (RAG) and semantic search. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Strong understanding of building cloud-native applications in a serverless ecosystem. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

About the Role: We are looking for a passionate and driven AI/ML Engineer with hands-on experience or strong interest in working with Large Language Models (LLMs), fine-tuning techniques, and LangChain framework integration. You will be responsible for building and optimizing intelligent agents, RAG pipelines, and dynamic workflows tailored for real-world applications in the blockchain and AI automation space. Key Responsibilities: Fine-tune and train Large Language Models (LLMs) using open-source frameworks and proprietary datasets. Develop and deploy LangChain-based intelligent agents for custom workflows (RAG, Tool Calling, Memory). Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases like FAISS, Chroma, Weaviate, or Qdrant. Work with Hugging Face Transformers, OpenAI/Anthropic APIs, and other foundation model platforms. Integrate prompt engineering techniques to enhance model outputs for agent tasks. Optimize training datasets and workflows for efficiency, accuracy, and scalability. Collaborate with backend teams to deploy models in containerized environments (Docker, FastAPI). Monitor performance metrics and continuously improve the models. Required Skills: Strong understanding of Python and ML frameworks (PyTorch / TensorFlow). Familiarity with LLM APIs (OpenAI, Anthropic, Cohere, etc.) Hands-on experience or knowledge of LangChain and/or LangGraph. Experience in vector database integration for RAG pipelines. Basic knowledge of prompt engineering and model inference logic. Exposure to training or fine-tuning transformer-based models. Nice to Have: Experience with model quantization (GGUF/GGML), LoRA, PEFT, or QLoRA. Exposure to Hugging Face ecosystem, including model hub and datasets. Experience with cloud infrastructure (AWS/GCP), Kubernetes, or GPU clusters. Familiarity with MLOps and model versioning practices. Qualifications: B.Tech / M.Tech / B.Sc / M.Sc in Computer Science, AI, Data Science, or equivalent. Project portfolio, GitHub repo, or published demos is a plus (mention in resume). Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹80,000.00 per month Schedule: Day shift Fixed shift Work Location: In person

Job Overview: We are seeking a talented and motivated AI Engineer with expertise in Large Language Models (LLMs), Natural Language Processing (NLP), and Speech-to-Text technologies. As part of our dynamic team, you will develop, implement, and optimize cutting-edge AI solutions to improve our products and services. Your work will focus on leveraging language models, building NLP systems, and integrating speech-to-text technologies for seamless communication and enhanced user experiences. Location: Hyderabad (5 Days work from office) Working Days: Sunday- Thursday Timings: 10 AM-6 PM Key Responsibilities: LLM Development & Integration: Fine-tune and deploy large language models for specific applications, such as chatbots, content generation, and customer support. Evaluate and improve the performance of LLMs in real-world scenarios. NLP System Design: Design and implement NLP algorithms for tasks like text classification, sentiment analysis, entity recognition, and summarization. Work with large datasets to train and validate NLP models. Collaborate with cross-functional teams to identify and address language-based challenges. Speech-to-Text Implementation: Develop and optimize speech-to-text pipelines for various languages and dialects. Integrate speech recognition systems with NLP and LLM solutions for end-to-end functionality. Stay updated on the latest advancements in automatic speech recognition (ASR). Performance Optimization: Enhance AI model efficiency for scalability and real-time processing. Address biases, improve accuracy, and ensure robustness in all models. Research and Innovation: Stay abreast of the latest research in LLM, NLP, and speech technologies. Experiment with emerging techniques and integrate them into company solutions. Documentation and Collaboration: Maintain comprehensive documentation for models, processes, and systems. Collaborate with product managers, software engineers, and other stakeholders. Requirements Qualifications: Minimum 8+ years of experience required. Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proven experience in LLM development (e.g., OpenAI, GPT, or similar frameworks). Strong understanding of NLP techniques and libraries (e.g., spaCy, NLTK, Hugging Face). Hands-on experience with speech-to-text systems like Google Speech API, Whisper, or similar technologies. Proficiency in programming languages such as Python, along with frameworks like TensorFlow or PyTorch. Strong problem-solving skills, a collaborative mindset, and the ability to manage multiple projects simultaneously.

If you're looking for an exciting opportunity to work with a team of talented colleagues who enjoy both work and life. Westernacher is the perfect place. We are seeking a Microsoft Copilot AI Expert for our growing team in India . Your Responsibilities Concept & Architecture: a. Design a RAG-based solution for integrating Microsoft Copilot into the existing M365 environment. b. Develop strategies for leveraging LLMs (e.g., Azure OpenAI) for automated workflows and data-driven decision-making. c. Implement security and compliance checks in accordance with Microsoft’s Responsible AI principles (Microsoft Purview). Technical Implementation: a. Customize Copilot Studio for company-specific use cases (e.g., automated document management, data analysis in Excel/Teams/PowerBI). b. Integrate Microsoft Fabric to utilize analytical data streams for LLM training and RAG models. c. Build MLOps pipelines for continuous monitoring and fine-tuning of models. Data & Knowledge Management: a. Configure the “Semantic Index” for context-sensitive search enrichment in Copilot. b. Ensure data governance in collaboration with data governance architects. Training & Documentation: a. Create guidelines for prompt engineering and LLM-based interactions. b. Conduct workshops for IT teams on maintaining the Copilot infrastructure. Your Experience And Skills Should have over 4 years of professional experience as preferably in working in Microsoft M365 environments and implementation projects Over 1 year of professional experience working on one or more topics of the Key Responsibilities Graduated in Information Technology, Computer Science, or Business Informatics Fluent English - both verbal and written Certifications : Microsoft Certified: Azure AI Engineer Associate OR Microsoft 365 Certified: Enterprise Administrator Expert Why Westernacher ? Inspiring and exciting, innovative working environment. Competitive remuneration package (salary, bonus, benefits). International company culture and minimal hierarchical structure. Chance to work on complex projects from different industries and add to your business process know-how. Flexible working hours and hybrid working model. This is WE: Committed to innovation, since 1969 Westernacher Consulting operates worldwide, with more than 1000 consultants in Europe, Asia and the Americas. We provide global business and SAP consulting, serving medium to large sized enterprises striving for innovation, operational excellence and profitable, sustainable growth. Headquartered in Heidelberg, Germany, Westernacher Consulting is the global leader in business process and technology innovation.Living , working, and operating in partnership. We are inquisitive, creative thinkers with a strong entrepreneurial spirit. We question new ways of working, think differently and are willing to try out new approaches to create value and innovation for our customers. All of this makes us pioneers in our field and keeps us responsive, quality-focused and results-oriented. Westernacher is a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status. Westernacher is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Life@Westernacher Show more Show less

Hyderabad, Telangana, India Category: Engineering Hire Type: Employee Job ID 9309 Date posted 02/24/2025 We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: As a Senior Staff AI Engineer focusing on AI Optimization & MLOps, you are a trailblazer in the AI landscape. You possess deep expertise in AI model development and optimization, with a keen interest in reinforcement learning and MLOps. Your ability to design, fine-tune, and deploy scalable, efficient, and continuously improving AI models sets you apart. You thrive in dynamic environments, staying at the forefront of AI technologies and methodologies, ensuring that AI solutions are not only cutting-edge but also production-ready. Your collaborative spirit and excellent communication skills enable you to work seamlessly with cross-functional teams, enhancing AI-powered IT automation solutions. With a strong background in AI frameworks and cloud-based AI services, you are committed to driving innovation and excellence in AI deployments. What You’ll Be Doing: Design, fine-tune, and optimize LLMs, retrieval-augmented generation (RAG), and reinforcement learning models for IT automation. Improve model accuracy, latency, and efficiency, ensuring optimal performance for IT service workflows. Experiment with cutting-edge AI techniques, including multi-agent architectures, prompt tuning, and continual learning. Implement MLOps best practices, ensuring scalable, automated, and reliable model deployment. Develop AI monitoring, logging, and observability pipelines to track model performance in production. Optimize GPU/TPU utilization and cloud-based AI model serving for efficiency and cost-effectiveness. Develop tools to measure model drift, inference latency, and operational efficiency. Implement automated retraining pipelines to ensure AI models remain effective over time. Work closely with cloud teams to optimize AI model execution across hybrid cloud environments. Stay ahead of emerging AI technologies, evaluating new frameworks, techniques, and research for real-world application. Collaborate to refine AI system architectures and capabilities, while also ensuring models are effectively embedded into IT automation workflows The Impact You Will Have: Enhance the efficiency and reliability of AI-powered IT automation solutions. Drive continuous improvement and innovation in AI model development and deployment. Ensure scalable and cost-effective AI model serving in cloud and hybrid environments. Improve real-time AI processing with minimal downtime and high performance. Optimize AI systems for performance, security, and cost in IT automation applications. Contribute to the advancement of Synopsys' AI capabilities and technologies. What You’ll Need: 8+ years of experience in AI/ML engineering, with a focus on model optimization and deployment. Strong expertise in AI frameworks (LangGraph, OpenAI, Hugging Face, TensorFlow/PyTorch). Experience implementing MLOps pipelines, CI/CD for AI models, and cloud-based AI deployment. Deep understanding of AI performance tuning, inference optimization, and cost-efficient deployment. Strong programming skills in Python, AI model APIs, and cloud-based AI services. Familiarity with IT automation and self-healing systems is a plus. Who You Are: Innovative and forward-thinking, constantly seeking to improve and optimize AI models. Collaborative and communicative, working effectively with cross-functional teams. Detail-oriented and meticulous, ensuring high standards in AI model performance and deployment. Adaptable and resilient, thriving in dynamic and fast-paced environments. Passionate about AI and its applications in IT automation and beyond. The Team You’ll Be A Part Of: You will join a dynamic team of AI engineers and IT professionals dedicated to advancing AI-powered IT automation. Our team focuses on optimizing model deployment, scaling AI workloads using Kubernetes, and enhancing AI observability and security. Together, we aim to make IT automation faster, more reliable, and cost-efficient, driving continuous technological innovation and excellence. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Country/Region: IN Requisition ID: 25995 Work Model: Position Type: Salary Range: Location: INDIA - HYDERABAD - BIRLASOFT OFFICE Title: Sr Architect Description: Area(s) of responsibility About Us: Birlasoft, a global leader at the forefront of Cloud, AI, and Digital technologies, seamlessly blends domain expertise with enterprise solutions. The company’s consultative and design-thinking approach empowers societies worldwide, enhancing the efficiency and productivity of businesses. As part of the multibillion-dollar diversified CKA Birla Group, Birlasoft with its 12,000+ professionals, is committed to continuing the Group’s 170-year heritage of building sustainable communities. Location: Any BSL Location Job Description: Bachelor/master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field with 15+ years of experience 2+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as GPT, T5 and BERT Experience with LLMs OpenAI GPT and others Experience in latest GenAI application development frameworks Project management and governance experience preferred. Candidates with Technical and management skills given stronger preference. Life sciences experience preferred. Experience with handling customers at SLT and VP level. Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras Experience in developing Fast API and documentations Experience working with SQL, NoSQL, Elastic, Files etc. Strong knowledge of data structures, algorithms, and software engineering principles Familiarity with cloud-based platforms and services, such as AWS (must), GCP, or Azure 8+ years of experience with advanced natural language processing ( NLP ) techniques and tools, such as SpaCy, NLTK, or Hugging Face Familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly Significant experience architecting cutting-edge MLOps systems in enterprise environments Knowledge of software development methodologies, such as Agile or Scrum Excellent problem-solving skills , with the ability to think critically and creatively to develop innovative AI solutions. Strong communication skills , with the ability to effectively convey complex technical concepts to a diverse audience Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment. Able to execute thought leadership. Responsibilities: Design, develop, and implement Generative AI models and algorithms, using techniques such as GPT, T5, BERT Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals Conduct research to stay up-to-date with the latest advancements in Generative AI , machine learning, and deep learning techniques, and identify opportunities to integrate them into customer products and services Optimize Generative AI models for improved performance, scalability, and efficiency Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation Contribute to the establishment of best practices and standards for Generative AI development within the organization

If you're looking for an exciting opportunity to work with a team of talented colleagues who enjoy both work and life. Westernacher is the perfect place. We are seeking a Microsoft Copilot AI Expert for our growing team in India . Your Responsibilities Concept & Architecture: a. Design a RAG-based solution for integrating Microsoft Copilot into the existing M365 environment. b. Develop strategies for leveraging LLMs (e.g., Azure OpenAI) for automated workflows and data-driven decision-making. c. Implement security and compliance checks in accordance with Microsoft’s Responsible AI principles (Microsoft Purview). Technical Implementation: a. Customize Copilot Studio for company-specific use cases (e.g., automated document management, data analysis in Excel/Teams/PowerBI). b. Integrate Microsoft Fabric to utilize analytical data streams for LLM training and RAG models. c. Build MLOps pipelines for continuous monitoring and fine-tuning of models. Data & Knowledge Management: a. Configure the “Semantic Index” for context-sensitive search enrichment in Copilot. b. Ensure data governance in collaboration with data governance architects. Training & Documentation: a. Create guidelines for prompt engineering and LLM-based interactions. b. Conduct workshops for IT teams on maintaining the Copilot infrastructure. Your Experience And Skills Should have over 4 years of professional experience as preferably in working in Microsoft M365 environments and implementation projects Over 1 year of professional experience working on one or more topics of the Key Responsibilities Graduated in Information Technology, Computer Science, or Business Informatics Fluent English - both verbal and written Certifications : Microsoft Certified: Azure AI Engineer Associate OR Microsoft 365 Certified: Enterprise Administrator Expert Why Westernacher ? Inspiring and exciting, innovative working environment. Competitive remuneration package (salary, bonus, benefits). International company culture and minimal hierarchical structure. Chance to work on complex projects from different industries and add to your business process know-how. Flexible working hours and hybrid working model. This is WE: Committed to innovation, since 1969 Westernacher Consulting operates worldwide, with more than 1000 consultants in Europe, Asia and the Americas. We provide global business and SAP consulting, serving medium to large sized enterprises striving for innovation, operational excellence and profitable, sustainable growth. Headquartered in Heidelberg, Germany, Westernacher Consulting is the global leader in business process and technology innovation.Living , working, and operating in partnership. We are inquisitive, creative thinkers with a strong entrepreneurial spirit. We question new ways of working, think differently and are willing to try out new approaches to create value and innovation for our customers. All of this makes us pioneers in our field and keeps us responsive, quality-focused and results-oriented. Westernacher is a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status. Westernacher is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Life@Westernacher Show more Show less

Experience: 5 - 8 Years Job Location: Gurgoan, Hyderabad Purpose of the Job – A simple statement to identify clearly the objective of the job. The Senior Machine Learning Engineer is responsible for designing, implementing, and deploying scalable and efficient machine learning algorithms to solve complex business problems. The Machine Learning Engineer is also responsible of the lifecycle of models, once deployed in production environments, through monitoring performance and model evolution. The position is highly technical and requires an ability to collaborate with multiple technical and non-technical profiles (data scientists, data engineers, data analysts, product owners, business experts), and actively take part in a large data science community. Key Responsibilities and Expected Deliverables– This details what actually needs to be done; the duties and expected outcomes. Managing the lifecycle of machine learning models Develop and implement machine learning models to solve complex business problems. Ensure that models are accurate, efficient, reliable, and scalable. Deploy machine learning models to production environments, ensuring that models are integrated with software systems. Monitor machine learning models in production, ensuring that models are performing as expected and that any errors or performance issues are identified and resolved quickly. Maintain machine learning models over time. This includes updating models as new data becomes available, retraining models to improve performance, and retiring models that are no longer effective. Develop and implement policies and procedures for ensuring the ethical and responsible use of machine learning models. This includes addressing issues related to bias, fairness, transparency, and accountability. Continuous Improvements Stay up to date with the latest developments in the field: read research papers, attend conferences, and participate in trainings to expand their knowledge and skills. Identify and evaluate new technologies and tools that can improve the efficiency and effectiveness of machine learning projects. Propose and implement optimizations for current machine learning workflows and systems. Proactively identify areas of improvement within the pipelines. Make sure that created code is compliant with our set of engineering standards. Collaboration with other data experts (Data Engineers, Platform Engineers, and Data Analysts) Participate to pull requests reviews coming from other team members. Ask for review and comments when submitting their own work. Actively participate to the day-to-day life of the project (Agile rituals), the data science team (DS meeting) and the rest of the Global Engineering team Education & Experience Engineering Master’s degree or PhD in Data Science, Statistics, Mathematics, or related fields 5 years+ experience in a Machine Learning Engineer role into large corporate organizations Experience of working with ML models in a cloud ecosystem Statistics & Machine Learning Statistics: Strong understanding of statistical analysis and modelling techniques (e.g., regression analysis, hypothesis testing, time series analysis) Classical ML: Very strong knowledge in classical ML algorithms for regression & classification, supervised and unsupervised machine learning, both theoretical and practical (e.g. using scikit-learn, xgboost) ML niche: Expertise in at least one of the following ML specialisations: Timeseries forecasting / Natural Language Processing / Computer Vision Deep Learning: Good knowledge of Deep Learning fundamentals (CNN, RNN, transformer architecture, attention mechanism, …) and one of the deep learning frameworks (pytorch, tensorflow, keras) Generative AI: Good understanding of Generative AI specificities and previous experience in working with Large Language Models is a plus (e.g. with openai, langchain) MLOps Model strategy: Expertise in designing, implementing, and testing machine learning strategies. Model integration: Very strong skills in integrating a machine learning algorithm in a data science application in production. Model performance: Deep understanding of model performance evaluation metrics and existing libraries (e.g., scikit-learn, evidently) Model deployment: Experience in deploying and managing machine learning models in production either using specific cloud platform, model serving frameworks, or containerization. Model monitoring: Experience with model performance monitoring tools is a plus (Grafana, Prometheus) Software Engineering Python: Very strong coding skills in Python including modularity, OOP, data & config manipulation frameworks (e.g., pandas, pydantic) etc. Python ecosystem: Strong knowledge of tooling in Python ecosystem such as dependency management tooling (venv, poetry), documentation frameworks (e.g. sphinx, mkdocs, jupyter-book), testing frameworks (unittest, pytest) Software engineering practices: Experience in putting in place good software engineering practices such as design patterns, testing (unit, integration), clean code, code formatting etc. Debugging: Ability to troubleshoot and debug issues within machine learning pipelines Data Science Experimentation and Analytics Data Visualization: Knowledge of data visualization tools such as plotly, seaborn, matplotlib, etc. to visualise, interpret and communicate the results of machine learning models to stakeholders. Basic knowledge of PowerBI is a plus Data Cleaning: Experience with data cleaning and preprocessing techniques such as feature scaling, dimensionality reduction, and outlier detection (e.g. with pandas, scikit-learn). Data Science Experiments: Understanding of experimental design and A/B testing methodologies Data Processing: Databricks/Spark: Basic knowledge of PySpark for big data processing Databases: Basic knowledge of SQL to query data in internal systems Data Formats: Familiarity with different data storage formats such as Parquet and Delta DevOps Azure DevOps: Experience using a DevOps platform such as Azure DevOps for using Boards, Repositories, Pipelines Git: Experience working with code versioning (git), branch strategies, and collaborative work with pull requests. Proficient with the most basic git commands. CI / CD: Experience in implementing/maintaining pipelines for continuous integration (including execution of testing strategy) and continuous deployment is preferable. Cloud Platform: Azure Cloud: Previous experience with services like Azure Machine Learning Services and/or Azure Databricks on Azure is preferable. Soft skills Strong analytical and problem-solving skills, with attention to detail Excellent verbal and written communication and pedagogical skills with technical and non-technical teams Excellent teamwork and collaboration skills Adaptability and reactivity to new technologies, tools, and techniques Fluent in English

TechStack :Cloud Technologies, Python, ML libraries, Prompt tuning and few-shot learning techniques, RAG, ReactJS, NodeJS etc What we are looking for As the Technology Analyst, you’ll leverage cutting-edge cloud-based solutions such as AWS and Azure. We are seeking an individual who not only possesses the requisite technical expertise but also thrives in the dynamic landscape of a fast-paced global firm. What you’ll do ▪ Collaborate with cross-functional teams and domain experts to design and build AI-powered solutions (e.g., GenAI chatbots, summarizers, recommendation engines) ▪ Work with LLMs, prompt engineering, and Retrieval Augmented Generation (RAG) frameworks ▪ Analyze data and extract meaningful insights using Python, SQL, and ML libraries ▪ Prototype, test, and fine-tune AI models for tasks like classification, entity extraction, and summarization ▪ Support end-to-end implementation from ideation to deployment while ensuring scalability and performance. Must have Bachelor's degree in engineering, preferably in CS, IT, or electronics with a record of academic excellence. Strong foundation in Python and hands-on experience with AI/ML concepts Familiarity with tools like Hugging Face, LangChain, OpenAI APIs, or similar is a plus Interest in applying AI to practical use cases (bonus if you’ve worked on GenAI projects or built a chatbot) Problem-solving mindset, strong communication skills, and eagerness to learn ▪ Ability to thrive in a fast-paced, collaborative environment

Soluzione IT Services is seeking a skilled Solution Architect specializing in Azure AI, Custom GPT, and Custom Copilot development. The ideal candidate will be responsible for designing, implementing, and optimizing AI-driven solutions that enhance business processes and customer experiences. Key Responsibilities: • Architect and design AI-powered solutions using Azure AI, OpenAI models (GPT), and Copilot framework to support business needs. • Lead end-to-end AI solution development, from concept to deployment. • Collaborate with cross-functional teams to integrate AI models with enterprise applications. • Ensure scalability, security, and compliance of AI solutions within Azure Cloud. • Optimize and fine-tune Custom GPT models for specific enterprise use cases. • Guide the implementation of Azure AI services, including Azure ML, Cognitive Services, and Bot Framework. • Work closely with developers, data scientists, and product managers to create innovative AI-driven workflows. • Develop and maintain technical documentation for AI architecture, workflows, and best practices. • Stay updated with emerging AI trends and Microsoft’s latest advancements in Copilot customization. Required Skills & Qualifications: • Proven experience in designing AI-based solutions using Azure AI and OpenAI models. • Expertise in Azure Cognitive Services, AI Studio, Azure ML, and AI-driven chatbots. • Proficiency in Python, C#, or Java for AI model integration. • Deep understanding of Custom GPT fine-tuning and Copilot extensibility within enterprise ecosystems. • Strong knowledge of Cloud architectures, APIs, and data pipelines. • Experience in Natural Language Processing (NLP) and AI-driven automation. • Solid grasp of security and compliance within AI applications. • Excellent communication and leadership skills. Preferer Candidates with Certifications: • Microsoft Certified: Azure Solutions Architect Expert • Microsoft Certified: Azure AI Engineer Associate • Microsoft Certified: Azure Data Scientist Associate • Microsoft Certified: Azure Developer Associate • OpenAI API certification or equivalent experience in AI model deployment • Certified Kubernetes Administrator (CKA) – for managing AI workloads in cloud environments • TOGAF Certified – for enterprise architecture methodologies What We Offer: • Exciting opportunities to work on cutting-edge AI solutions. • A collaborative work environment with AI experts and tech innovators. • Competitive compensation package. Show more Show less

We're Hiring: AI Developer with OpenAI & Python Expertise Are you passionate about building intelligent systems and working with cutting-edge AI technologies like OpenAI’s GPT models? Join our fast-growing AI-focused team where we’re building the next generation of smart products across industries like gaming, betting, fintech, and more. What We're Looking For: We’re hiring AI Developers with experience in: Python frameworks : FastAPI, Flask, Django Machine Learning & Deep Learning : TensorFlow, PyTorch, scikit-learn LLMs & OpenAI : Hands-on experience with OpenAI GPT (3.5, 4, 4-turbo) APIs Experience building custom GPTs or AI assistants Understanding of function calling, tool use, prompt design, and system messages Prompt Engineering & Model Programming : Crafting efficient and task-specific prompts Fine-tuning and optimizing LLMs or integrating with vector databases like Pinecone or FAISS Good understanding of RAG pipelines , embeddings, and LLMOps practices Nice to Have: Experience in LangChain, LlamaIndex, or similar frameworks Familiarity with deploying models on cloud platforms (AWS, GCP, Azure) Prior work in building chatbots, agents, or AI-driven automation tools Who You'll Work With: A cross-functional, agile team of AI experts, engineers, and product managers Real-world projects with international clients A culture of learning, ownership, and innovation Location: Full-time / Contract-based roles available How to Apply: Send your CV, GitHub/portfolio links, and a brief note on your recent AI work to hr@softrefine.com. Let’s build the future of AI together. Job Types: Full-time, Permanent Pay: ₹12,790.55 - ₹62,351.20 per month Schedule: Day shift Monday to Friday Work Location: In person

We are seeking a Full Stack Python Developer with strong experience in both frontend and backend development, and deep familiarity with Azure Cloud and serverless architecture. In this full-time role, you’ll build modern, scalable web applications and services using Python, JavaScript frameworks, and Azure-native tools. You’ll work cross-functionally to develop secure, performant, and user-friendly applications that run entirely in the cloud. Job Description: Responsibilities : Develop end-to-end web applications using Python for the backend and React / JavaScript for the frontend. Design, build, and deploy serverless applications on Microsoft Azure using services like: Azure Functions Azure API Management Azure Blob Storage Azure Cosmos DB / Mongo DB Strong experience with using Python Runtime inside Azure Functions, and building serverless functions using the Python v2 programming model and Azure Blueprints. Use Blueprints to define and register new Azure Functions Use Python Modules and an Object-Oriented Programming model to modularize function definition and implementation Build and maintain RESTful APIs, microservices, and integrations with third-party services. Work closely with designers, PMs, and QA to deliver high-quality, user-centric applications. Optimize applications for performance, scalability, and cost-efficiency on Azure. Implement DevOps practices using CI/CD pipelines. Write clean, modular, and well-documented code, following best practices and secure coding guidelines. Participate in sprint planning, code reviews, and agile ceremonies. Required Skills (Must Have): 3–5 years of professional experience in full stack development. Strong proficiency in Object-Orriented Python, with frameworks like FastAPI, Flask, or Django. Solid experience with frontend frameworks such as React.js, or similar. Proven experience with Azure Serverless Architecture, including: Azure Functions Azure API Management Azure Storage & Cosmos DB Understanding of event-driven architecture, and asynchronous APIs in Azure. Experience working with Azure Serverless functions including Durable Functions within Azure Experience with API integrations, secure data handling, and cloud-native development. Proficient in working with Git, Agile methodologies, and software development best practices. Ability to design and develop scalable and efficient applications. Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with Azure App Service, Azure Key Vault, Application Insights, and Azure Monitor for observability and secure deployments. Familiarity with authentication and authorization mechanisms, such as Azure Active Directory (Azure AD), OAuth2, and JWT. Exposure to containerization technologies including Docker, Azure Container Registry (ACR), and Azure Kubernetes Service (AKS). Understanding of cost optimization, resilience, and security best practices in cloud-native and serverless applications. Knowledge of integration with Azure OpenAI service and working with LLM models inside Azure apps Knowledge of LLM frameworks such as LangChain, LlamaIndex, and experience in building intelligent solutions using AI agents and orchestration frameworks. Awareness of modern AI application architecture, including Retrieval-Augmented Generation (RAG) and semantic search. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Strong understanding of building cloud-native applications in a serverless ecosystem. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

If you're looking for an exciting opportunity to work with a team of talented colleagues who enjoy both work and life. Westernacher is the perfect place. We are seeking a Microsoft Copilot AI Expert for our growing team in India . Your Responsibilities Concept & Architecture: a. Design a RAG-based solution for integrating Microsoft Copilot into the existing M365 environment. b. Develop strategies for leveraging LLMs (e.g., Azure OpenAI) for automated workflows and data-driven decision-making. c. Implement security and compliance checks in accordance with Microsoft’s Responsible AI principles (Microsoft Purview). Technical Implementation: a. Customize Copilot Studio for company-specific use cases (e.g., automated document management, data analysis in Excel/Teams/PowerBI). b. Integrate Microsoft Fabric to utilize analytical data streams for LLM training and RAG models. c. Build MLOps pipelines for continuous monitoring and fine-tuning of models. Data & Knowledge Management: a. Configure the “Semantic Index” for context-sensitive search enrichment in Copilot. b. Ensure data governance in collaboration with data governance architects. Training & Documentation: a. Create guidelines for prompt engineering and LLM-based interactions. b. Conduct workshops for IT teams on maintaining the Copilot infrastructure. Your Experience And Skills Should have over 4 years of professional experience as preferably in working in Microsoft M365 environments and implementation projects Over 1 year of professional experience working on one or more topics of the Key Responsibilities Graduated in Information Technology, Computer Science, or Business Informatics Fluent English - both verbal and written Certifications : Microsoft Certified: Azure AI Engineer Associate OR Microsoft 365 Certified: Enterprise Administrator Expert Why Westernacher ? Inspiring and exciting, innovative working environment. Competitive remuneration package (salary, bonus, benefits). International company culture and minimal hierarchical structure. Chance to work on complex projects from different industries and add to your business process know-how. Flexible working hours and hybrid working model. This is WE: Committed to innovation, since 1969 Westernacher Consulting operates worldwide, with more than 1000 consultants in Europe, Asia and the Americas. We provide global business and SAP consulting, serving medium to large sized enterprises striving for innovation, operational excellence and profitable, sustainable growth. Headquartered in Heidelberg, Germany, Westernacher Consulting is the global leader in business process and technology innovation.Living , working, and operating in partnership. We are inquisitive, creative thinkers with a strong entrepreneurial spirit. We question new ways of working, think differently and are willing to try out new approaches to create value and innovation for our customers. All of this makes us pioneers in our field and keeps us responsive, quality-focused and results-oriented. Westernacher is a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status. Westernacher is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Life@Westernacher Show more Show less

We're seeking a talented LLM App Senior Developer with a strong foundation in Python and JavaScript and Azure / AWS Cloud to join our team. The ideal candidate will have a passion for leveraging the power of LLMs to create innovative and efficient applications. Job Description: Responsibilities : Develop and maintain LLM-powered applications using Python/JavaScript on Azure or AWS cloud platforms. Integrate LLM apps with foundational models using multiple techniques and methods Design and develop Virtual Assistants, AI Workflows, and other LLM-powered apps that interface with a variety of different LLM models Leverage external data and content sources to ground LLM outputs Design and implement Integrations and APIs to augment the LLM Collaborate with cross-functional teams to understand business requirements and deliver solutions that meet their needs. Stay up to date with the latest advancements in LLM technology and cloud platforms. Required Skills (Must Have): Language: Strong proficiency in Python programming language. Cloud LLM API: Expertise with Azure OpenAI or AWS Bedrock service, foundation models, and integration Vector DB: Expertise with Azure AI Search service, or otherwise with AWS OpenSearch / Kendra for AI Search queries Prompt engineering: Strong Expertise with Prompt engineering and Prompt Design, including multiple prompting methods, for LLM apps Patterns RAG Expertise with building end-to-end RAG (Retrieval Augmented Generation) pipelines, using vector databases, LLM models, and tool integrations Experience with building conversational virtual assistants and chatbots Understanding of API integration and data workflows LLM framework: Experience with at least one LLM framework – Langchain, Llamaindex, or other LLM models - In-depth knowledge of LLM models and their applications. Advanced LLM/AI Development skills Experience with Agentic Architectures and AI Agents, and ability to create a solution using agents on either Azure or AWS Cloud Ability to design and develop scalable and efficient applications. Serverless: Experience with Azure Function Apps or AWS Lamba functions Cloud: Experience with Azure or AWS cloud platforms Excellent problem-solving and analytical skills. Strong communication and teamwork abilities. Preferred Skills (Good to Have): Experience with AI Workflows and Low-Code AI Workflow Builder tools, such as Copilot Studio, Azure Prompt Flows, AWS Prompt Flows Knowledge of AI Agents and building intelligent solutions using AI agent orchestrations. Knowledge of AI and machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of building cloud services and cloud back-end integrations using Serverless models Familiarity with data extraction and transformation techniques. Experience with natural language processing (NLP) tasks. Qualifications : Bachelor’s degree in computer science, Computer Engineering, or a related field. 3+ years of experience in software development. Experience with LLM applications and cloud platforms. Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant Show more Show less

Job Title: Genesys Cloud Developer 100% Remote US PST hours Job Description: We are looking for an experienced Genesys Cloud Developer with 6-8 years of hands-on experience in contact center IVR and self-service development. The ideal candidate is technically strong, AI-savvy, and passionate about building smart, scalable customer experiences. Key Responsibilities Build conversational bots and voice experiences integrated with AI platforms (e.g., Azure Copilot, Genesys Bots, OpenAI APIs). Design and develop IVR and self-service flows using Genesys Cloud CX. Develop and optimize speech-enabled applications and call flows. Write and maintain code in Node.js, Python, or Java. Collaborate with cross-functional teams to deliver seamless and innovative solutions. Qualifications Bachelors degree in Computer Science or a related field. 6+ years of experience in contact center IVR and self-service application development. Deep knowledge of Genesys Cloud CX platform. Strong background in speech application design and bot frameworks. Proficient in at least one programming language: Node.js, Python, or Java. Eagerness to learn and adopt new technologies. Preferred Qualifications Genesys Cloud certification. Experience in healthcare or banking sectors Interested Candidate can apply : dsingh15@fcsltd.com / asingh21@fcsltd.com 9667680541

If you're looking for an exciting opportunity to work with a team of talented colleagues who enjoy both work and life. Westernacher is the perfect place. We are seeking a Microsoft Copilot AI Expert for our growing team in India . Your Responsibilities Concept & Architecture: a. Design a RAG-based solution for integrating Microsoft Copilot into the existing M365 environment. b. Develop strategies for leveraging LLMs (e.g., Azure OpenAI) for automated workflows and data-driven decision-making. c. Implement security and compliance checks in accordance with Microsoft’s Responsible AI principles (Microsoft Purview). Technical Implementation: a. Customize Copilot Studio for company-specific use cases (e.g., automated document management, data analysis in Excel/Teams/PowerBI). b. Integrate Microsoft Fabric to utilize analytical data streams for LLM training and RAG models. c. Build MLOps pipelines for continuous monitoring and fine-tuning of models. Data & Knowledge Management: a. Configure the “Semantic Index” for context-sensitive search enrichment in Copilot. b. Ensure data governance in collaboration with data governance architects. Training & Documentation: a. Create guidelines for prompt engineering and LLM-based interactions. b. Conduct workshops for IT teams on maintaining the Copilot infrastructure. Your Experience And Skills Should have over 4 years of professional experience as preferably in working in Microsoft M365 environments and implementation projects Over 1 year of professional experience working on one or more topics of the Key Responsibilities Graduated in Information Technology, Computer Science, or Business Informatics Fluent English - both verbal and written Certifications : Microsoft Certified: Azure AI Engineer Associate OR Microsoft 365 Certified: Enterprise Administrator Expert Why Westernacher ? Inspiring and exciting, innovative working environment. Competitive remuneration package (salary, bonus, benefits). International company culture and minimal hierarchical structure. Chance to work on complex projects from different industries and add to your business process know-how. Flexible working hours and hybrid working model. This is WE: Committed to innovation, since 1969 Westernacher Consulting operates worldwide, with more than 1000 consultants in Europe, Asia and the Americas. We provide global business and SAP consulting, serving medium to large sized enterprises striving for innovation, operational excellence and profitable, sustainable growth. Headquartered in Heidelberg, Germany, Westernacher Consulting is the global leader in business process and technology innovation.Living , working, and operating in partnership. We are inquisitive, creative thinkers with a strong entrepreneurial spirit. We question new ways of working, think differently and are willing to try out new approaches to create value and innovation for our customers. All of this makes us pioneers in our field and keeps us responsive, quality-focused and results-oriented. Westernacher is a diverse work environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status. Westernacher is also committed to compliance with all fair employment practices regarding citizenship and immigration status. Life@Westernacher Show more Show less

About the Company: VMock is a Career Acceleration Platform which is powered by Artificial Intelligence. Our aim is to empower students and professionals along the various phases of their career journey across the globe. Our fast-paced culture is a great fit for anyone looking to make a mark through their work to create impact globally while working with high caliber team members. Our Mission: - Accelerate every student and professional’s career journey to maximize their success. Our Vision: - Offer SMART Career Acceleration Platform that acts like a personal coach to every job seeker along their career journey, globally. Our Tenets: ● Innovate - Innovation is at the heart of all our work at VMock. We deal with science fiction on a daily basis, and our vision is no less than something from Star Trek ● Collaborate - Our ‘ecosystem’ mindset is focused on providing a seamless experience to our customers. ● Delight - Each of us, here, is an army of one, contributing to our company’s vision. We are constantly engaged to deliver something ‘extra’ to our clients. Responsibilities Collaborate closely with product and engineering teams to optimise AI agent performance. Conduct context tuning to enhance AI output quality for various career-related applications. Analyse and refine AI responses by iterating on prompts and logic to boost accuracy and relevance. Understand user personas and product goals to ensure AI behaviour aligns with them. Document experiments, logic flows, and enhancements in a clear, structured format. Communicate findings and recommendations effectively across both technical and non-technical teams. Collaborate with the Client Success team to resolve client issues and manage data-related technical requirements. Requirements Strong technical background with a degree in computer science or equivalent experience as a developer. At least 2 years of programming experience in the industry. Proficiency in Python, SQL, RESTful API design and development. Experience with cloud platforms such as AWS, Google Cloud, or Azure. Familiarity with version control systems like Git. Understanding of FastAPI, OpenAI and LLMs working. Knowledge of data structures, algorithms, and software design principles. Ability to collaborate effectively in a fast-paced, agile environment. Excellent communication skills, both written and verbal, to translate technical concepts into business language and vice-versa. Familiarity with AI/ML concepts or prompt engineering is a plus (not mandatory). What We Offer: A unique opportunity to innovate at the intersection of AI, education, and career development. A dynamic, collaborative, and inclusive work culture that values diverse perspectives. Comprehensive professional development with access to continuous learning and growth opportunities. A chance to make a real impact by shaping the future of AI-driven solutions. Show more Show less