2791 Openai Jobs - Page 27

About Cloutflow Cloutflow is a fast-growing influencer marketing company working with top brands in Indai. We’re building AI-powered tools to make influencer marketing smarter, faster, and scalable — from creator discovery to campaign performance prediction. We’re now hiring an Applied AI Engineer to build real-world AI solutions that power the next generation of our tech platform. What You’ll Do Build and deploy machine learning models to automate key functions like: Influencer discovery & matching Campaign performance prediction Content quality and brand-fit scoring Audience authenticity analysis Fine-tune or integrate LLMs, embeddings, and NLP tools to enhance search, recommendations, and messaging. Work with APIs (OpenAI, Hugging Face, etc.) to prototype and productionize features. Collaborate with product, engineering, and data teams to translate business needs into working AI features. Contribute to the data strategy , from training data pipelines to model evaluation. You Should Have 2–5 years of experience applying ML/AI to real-world problems (internship or project experience counts if strong). Proficiency in Python , scikit-learn , and either TensorFlow or PyTorch . Experience with NLP , embeddings, and working with LLMs/APIs (like OpenAI, Cohere, or Claude). Ability to write clean, modular, and scalable code. Bonus: Experience with recommender systems, influencer/marketing tech, or content platforms. Nice to Have (Not Mandatory) Familiarity with influencer or creator economy tools Experience using vector databases (like Pinecone, Weaviate, etc.) Startup or fast-paced environment experience Why Join Us Work directly with the founder and core team Build something 0→1 in a high-growth industry Competitive salary + ESOPs Freedom to experiment, ship fast, and make a tangible impact

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking an exceptional Solution Architect/BDM specializing in Hyperscalers. This role requires deep expertise in cloud-based AI services and Large Language Models (LLMs) offered by major cloud providers. As our Cloud AI SME, you will assess client needs, recommend appropriate cloud AI technologies, size opportunities and cloud infrastructure requirements, and collaborate with delivery teams to create end-to-end solutions with accurate costing. This pivotal role demands a strategic thinker with strong technical knowledge and business acumen who can drive innovation and deliver exceptional value to our clients through cloud-based AI solutions. What You'll Be Doing Key Roles and Responsibilities: Solution Architecture & Technical Leadership Demonstrate deep expertise in cloud-based AI services and LLMs such as AWS Bedrock, Azure OpenAI Service, Google Vertex AI, and their supported models Assess client business requirements and translate them into detailed technical specifications leveraging hyperscaler AI capabilities Recommend appropriate cloud AI solutions based on specific business outcomes and use cases Size cloud infrastructure requirements and optimize cost models for AI workloads Design scalable and secure Private AI architectures Create technical POCs and prototypes on hyperscaler platforms to demonstrate solution capabilities Expertise in fine-tuning, query caching, and optimizing vector embeddings for efficient similarity searches Business Development Size and qualify opportunities in the Cloud AI space Develop compelling proposals and solution presentations for cloud-based AI implementations Build and nurture client relationships at technical and executive levels Collaborate with sales teams to create competitive go-to-market strategies Identify new business opportunities through technical consultation on cloud AI solutions Project & Delivery Leadership Work with delivery teams to develop end-to-end solution approaches and accurate costing Lead technical discovery sessions with clients Guide implementation teams during solution delivery Ensure technical solutions meet client requirements and business outcomes Develop reusable solution components and frameworks to accelerate delivery AI Agent Development Architect multi-agent systems that leverage cloud platform capabilities Develop frameworks for agent orchestration, evaluation, and governance on cloud platforms Design cloud-native agent solutions that integrate with existing enterprise systems Implement agent-based solutions using Cloud tools and services Knowledge, Skills, and Attributes: Basic Qualifications: 8+ years of experience in solution architecture or technical consulting roles 3+ years of specialized experience working with LLMs and Private AI solutions Demonstrated expertise with AWS or Azure or GCP AI/ML services Strong understanding of cloud infrastructure sizing, optimization, and cost management for AI workloads Proven experience converting business requirements into technical specifications Experience working with delivery teams to create end-to-end solutions with accurate costing Strong understanding of agentic AI systems and orchestration frameworks Bachelor’s degree in computer science, AI, or related field Ability to travel up to 25% Preferred Qualifications: Master's degree or PhD in Computer Science or related technical field. Cloud certifications such as: AWS: AWS Certified Solutions Architect, AWS Certified Machine Learning Specialty Azure: Microsoft Certified: Azure Solutions Architect Expert, Azure AI Engineer Associate GCP: Google Cloud Professional Cloud Architect, Professional Machine Learning Engineer Experience with autonomous agent development using cloud-based AI services Experience with deploying and fine-tuning LLMs on cloud platforms Hands-on experience with prompt engineering and LLM optimization techniques Understanding of AI governance, security, and compliance requirements Prior experience in business development or pre-sales for AI solutions Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving abilities and analytical mindset Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

AI Engineer Intern (Remote) — Optivus Technologies Location: Remote Type: Internship (Full-Time Preferred) Duration: 3–6 months Stipend: Competitive Start Date: Immediate or August 2025 About Optivus Technologies Optivus Technologies is a next-generation AI consulting and product firm dedicated to empowering businesses through intelligent, scalable, and practical AI solutions. Our mission is clear: to help organizations of all sizes — especially small and mid-sized enterprises — harness the full transformative power of artificial intelligence without complexity or prohibitive costs. We build plug-and-play GenAI products and automation tools that integrate seamlessly into existing business environments, driving real-world outcomes through cutting-edge technologies such as large language models, intelligent process automation, and advanced analytics. We believe innovation isn’t just for large enterprises — every business deserves access to technology that fuels smarter decisions and faster growth. Learn more: www.optivustechnologies.com About the Role We're looking for a highly driven AI Engineer Intern who thrives in startup environments and wants to build impactful, real-world AI applications. As an intern at Optivus, you’ll be an integral part of our engineering team — working hands-on with large language models (LLMs), machine learning pipelines, and scalable web technologies. You won’t just be building prototypes; you’ll help ship production-ready features for real clients and get deep exposure to the full AI product lifecycle. What You’ll Do Build and test ML/LLM pipelines for various business use cases Integrate AI models and APIs into functional web applications Develop and optimize backend services using Python, FastAPI, or Node.js Work with vector databases, embedding models, and prompt orchestration tools Contribute to end-to-end system architecture — from data handling to inference and UI integration Write clean, modular, and well-documented code using Git workflows Stay on top of new advancements in generative AI, LLMs, and MLOps Collaborate closely with the founding team on building deployable, scalable AI tools What We’re Looking For Strong foundation in Python and machine learning fundamentals Experience with frameworks like PyTorch, TensorFlow, or Hugging Face Transformers Familiarity with LLM tools such as LangChain, OpenAI API, or similar Ability to build and consume REST APIs Understanding of vector stores (e.g., FAISS, Pinecone, Weaviate) Bonus: Experience with full-stack frameworks (React/Next.js) or backend dev (FastAPI, Node.js) Excellent problem-solving ability and willingness to learn fast A builder mindset — you’re excited to ship, iterate, and improve What You’ll Gain Real-world experience building advanced AI products from the ground up Direct mentorship from engineers and founders High ownership and fast learning in a startup environment Option for a pre-placement offer (PPO) based on performance A chance to shape the future of AI with a company that’s just getting started How to Apply Apply with your resume + GitHub/portfolio link + short note on why you want to join Optivus . Send to: advik@optivustechnologies.com Subject line: AI Engineer Internship Application – [Your Name]

Job Title: Python Developer – Data Science & AI Integration Location: Chandkheda, Ahmedabad, Gujarat 382424 Experience: 2–3 Years Employment Type: Full-time Work Mode: On-site About the Role We are seeking a talented and driven Python Developer to join our AI & Data Science team. The ideal candidate will have experience in developing backend systems, working with legal datasets, and integrating AI/LLM-based chatbots (text and voice). This is a hands-on role where you’ll work across modern AI architectures like RAG and embedding-based search using vector databases. Key Responsibilities Design and implement Python-based backend systems for AI and data science applications. Analyze legal datasets and derive insights through automation and intelligent algorithms. Build and integrate AI-driven chatbots (text & voice) using LLMs and RAG architecture. Work with vector databases (e.g., Pinecone, ChromaDB) for semantic search and embedding pipelines. Implement graph-based querying systems using Neo4j and Cypher. Collaborate with cross-functional teams (Data Scientists, Backend Engineers, Legal SMEs). Maintain data pipelines for structured, semi-structured, and unstructured data. Ensure code scalability, security, and performance. Required Skills & Experience 2–3 years of hands-on Python development experience in AI/data science environments. Solid understanding of legal data structures and preprocessing. Experience with LLM integrations (OpenAI, Claude, Gemini) and RAG pipelines. Proficiency in vector databases (e.g., Pinecone, ChromaDB) and embedding-based similarity search. Experience with Neo4j and Cypher for graph-based querying. Familiarity with PostgreSQL and REST API design. Strong debugging and performance optimization skills. Nice to Have Exposure to Agile development practices. Familiarity with tools like LangChain or LlamaIndex. Experience working with voice-based assistant/chatbot systems. Bachelor's degree in Computer Science, Data Science, or a related field. Why Join Us? Work on cutting-edge AI integrations in a domain-focused environment. Collaborate with a passionate and experienced cross-functional team. Opportunity to grow in legal-tech and AI solutions space.

About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore We Are An Equal Opportunity Employer: Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements. Job Description We seek an innovative AI Engineer (Experience 2 - 5 yrs) to join our team and lead the development of scalable solutions using open-source technologies, LLM APIs , and advanced AI techniques. The ideal candidate will excel in designing RAG, Graph RAG, Agent Systems with function calling , and fine-tuning/customizing LLMs. Proficiency in hosting open-source models (e.g., Llama 2, Mistral) and integrating APIs (OpenAI, Anthropic, etc.) is critical, along with experience in Python frameworks like Fast API/Flask for production-grade deployments. Key Responsibilities: Architect, build, and optimize AI solutions using open-source models (e.g., Hugging Face, Ollama) and third-party LLM APIs. Design and implement advanced techniques including RAG, GraphRAG, Agent Systems with orchestration/function calling, and fine-tuning/prompt-tuning of LLMs. Deploy and manage self-hosted open-source models (e.g., via vLLM, TensorRT-LLM) with scalable APIs. Collaborate with teams to integrate AI/ML solutions into production systems using FastAPI, Flask, or similar frameworks. Develop automation pipelines for data retrieval, preprocessing, and model evaluation, ensuring alignment with business use cases. Stay ahead of AI trends (e.g., open-source LLM advancements, cost-efficient scaling) and drive strategic adoption. Ensure robust monitoring, testing, and documentation of systems for reliability and reproducibility. Five Reasons Why You Should Join Zycus Cloud Product Company: We are a Cloud SaaS Company, and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS, and we are developing our mobile apps using React. A Market Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features. About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore Job Requirement Experience & Qualifications: Bachelor’s/master’s in computer science, AI, or related field. Expertise in Python and backend frameworks like FastAPI/Flask. Hands-on experience with RAG architectures, Agent Systems (function calling/tool use), GraphRAG, or similar LLM-driven workflows. Ability to fine-tune LLMs (LoRA, QLoRA) and host/deploy open-source models (Llama 2, Mistral, etc.). Proficiency with LLM APIs (OpenAI, Anthropic, Groq) and vector databases (Pinecone, Qdrant, pgvector). Familiarity with NLP/ML frameworks (PyTorch, Transformers, LangChain, LlamaIndex) and cloud platforms (AWS, Azure, GCP). Skilled in building scalable APIs and microservices for AI applications. Preferred Qualifications: Experience optimizing inference for open-source models (quantization, distillation). Familiarity with multi-agent systems, chain-of-thought prompting, or LLM eval frameworks. Knowledge of distributed training, GPU optimization, and MLOps (MLflow, Kubeflow). Contributions to open-source AI/ML projects.

About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore We Are An Equal Opportunity Employer: Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements. Job Description We seek an innovative AI Engineer (Experience 2 - 5 yrs) to join our team and lead the development of scalable solutions using open-source technologies, LLM APIs , and advanced AI techniques. The ideal candidate will excel in designing RAG, Graph RAG, Agent Systems with function calling , and fine-tuning/customizing LLMs. Proficiency in hosting open-source models (e.g., Llama 2, Mistral) and integrating APIs (OpenAI, Anthropic, etc.) is critical, along with experience in Python frameworks like Fast API/Flask for production-grade deployments. Key Responsibilities: Architect, build, and optimize AI solutions using open-source models (e.g., Hugging Face, Ollama) and third-party LLM APIs. Design and implement advanced techniques including RAG, GraphRAG, Agent Systems with orchestration/function calling, and fine-tuning/prompt-tuning of LLMs. Deploy and manage self-hosted open-source models (e.g., via vLLM, TensorRT-LLM) with scalable APIs. Collaborate with teams to integrate AI/ML solutions into production systems using FastAPI, Flask, or similar frameworks. Develop automation pipelines for data retrieval, preprocessing, and model evaluation, ensuring alignment with business use cases. Stay ahead of AI trends (e.g., open-source LLM advancements, cost-efficient scaling) and drive strategic adoption. Ensure robust monitoring, testing, and documentation of systems for reliability and reproducibility. Five Reasons Why You Should Join Zycus Cloud Product Company: We are a Cloud SaaS Company, and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS, and we are developing our mobile apps using React. A Market Leader: Zycus is recognized by Gartner (world’s leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features. About Us Zycus is a pioneer in Cognitive Procurement software and has been a trusted partner of choice for large global enterprises for two decades. Zycus has been consistently recognized by Gartner, Forrester, and other analysts for its Source to Pay integrated suite. Zycus powers its S2P software with the revolutionary Merlin AI Suite. Merlin AI takes over the tactical tasks and empowers procurement and AP officers to focus on strategic projects; offers data-driven actionable insights for quicker and smarter decisions, and its conversational AI offers a B2C type user-experience to the end-users. Zycus helps enterprises drive real savings, reduce risks, and boost compliance, and its seamless, intuitive, and easy-to-use user interface ensures high adoption and value across the organization. Start your #CognitiveProcurement journey with us, as you are #MeantforMore Job Requirement Experience & Qualifications: Bachelor’s/master’s in computer science, AI, or related field. Expertise in Python and backend frameworks like FastAPI/Flask. Hands-on experience with RAG architectures, Agent Systems (function calling/tool use), GraphRAG, or similar LLM-driven workflows. Ability to fine-tune LLMs (LoRA, QLoRA) and host/deploy open-source models (Llama 2, Mistral, etc.). Proficiency with LLM APIs (OpenAI, Anthropic, Groq) and vector databases (Pinecone, Qdrant, pgvector). Familiarity with NLP/ML frameworks (PyTorch, Transformers, LangChain, LlamaIndex) and cloud platforms (AWS, Azure, GCP). Skilled in building scalable APIs and microservices for AI applications. Preferred Qualifications: Experience optimizing inference for open-source models (quantization, distillation). Familiarity with multi-agent systems, chain-of-thought prompting, or LLM eval frameworks. Knowledge of distributed training, GPU optimization, and MLOps (MLflow, Kubeflow). Contributions to open-source AI/ML projects.

Designation : Data Scientist II Office Location: Gurgaon Position Description: The Data Scientist is crucial in leveraging data to derive meaningful insights and solutions for complex business problems. This individual will lead and guide the data science team in developing advanced analytical models, algorithms, and statistical analyses. They will collaborate with cross-functional teams to identify opportunities for leveraging data-driven solutions, making strategic decisions, and enhancing overall business performance. The Data Scientist will be responsible for designing and implementing machine learning models, conducting data exploration, and communicating findings to non-technical stakeholders. Primary Responsibilities: Collaborate with business stakeholders to understand and translate their goals into AI and data science initiatives. Lead the development and implementation of LLM-based workflows and AI agents to drive automation, personalization, and intelligent decision-making. Develop strategies to optimize budget allocation and campaign performance using AI-driven approaches in scenarios with high cardinality and uncertainty. Conduct exploratory data analysis to uncover trends and insights from large, complex data sets. Identify, evaluate, and deploy use case-specific LLMs (e.g., OpenAI, Gemini, Claude) for summarization, retrieval, semantic search, tool use, and classification. Design and implement retrieval-augmented generation (RAG) pipelines and memory-augmented AI agents. Implement Groq or similar platforms for high-performance, low-latency inference and scalable AI deployment. Communicate complex analytical and AI-driven findings in a clear, actionable manner to non-technical stakeholders. Stay abreast of the latest advancements in AI, LLMs, and agentic systems. Build AI-powered proof of concepts (PoCs) leveraging foundation models, vector databases, and orchestration frameworks. Use SQL for data exploration, feature engineering, and prompt conditioning. Required Skills: Qualification in a quantitative field such as Computer Science, Artificial Intelligence, Statistics, Physics, or Mathematics. Excellent problem-solving skills and strategic thinking with a strong AI product mindset. Strong coding skills, particularly in Python. 6+ years of relevant work experience in Data Science, with significant hands-on experience in LLM-based application development. Solid foundation in statistical analysis, experimentation, and hypothesis testing. Proficiency in Python and SQL. Preferred experience on GCP platform. Proven experience with LLMs, including prompt engineering, fine-tuning, RAG, and evaluation. Experience identifying and scaling LLM-based use cases across business functions. Familiar with building AI agents using LangChain, LangGraph, and agentic orchestration frameworks. Experience with Groq or similar platforms for high-speed inference of LLMs. Plus points for experience in AdTech or Meta Ads. Effective communication skills with the ability to convey technical concepts to non-technical audiences. Work Environment Details: About Affle: Affle is a global technology company with a proprietary consumer intelligence platform that delivers consumer engagement, acquisitions, and transactions through relevant Mobile Advertising. The platform aims to enhance returns on marketing investment through contextual mobile ads and also by reducing digital ad fraud. While Affle's Consumer platform is used by online & offline companies for measurable mobile advertising, its Enterprise platform helps offline companies to go online through platform-based app development, enablement of O2O commerce and through its customer data platform. Affle India successfully completed its IPO in India on 08. Aug.2019 and now trades on the stock exchanges (BSE: 542752 & NSE:AFFLE). Affl e Holdings is the Singapore based promoter for Affl e India and its investors include Microsoft, Bennett Coleman &Company (BCCL) amongst others. For more details: www.affle.com About BU (Ultra) Ultra Prism is a cutting-edge AI-powered platform designed to empower performance marketers on walled garden platforms like Meta and Google. With a focus on precision targeting, the platform streamlines the creative process, delivering state-of-the-art assets while providing actionable insights and recommendations for campaign optimization. By transforming guesswork into strategy and enabling smarter, data-driven decisions, Ultra Prism helps marketers unlock unmatched ROI and achieve extraordinary results with confidence and ease. For more details: https://www.ultraplatform.io/

We are seeking a highly skilled and innovative AI Lead/Developer with proven experience in designing, developing, and deploying AI Agents and Conversational AI Chatbots using Azure Cloud Services . You will play a critical role in transforming enterprise workflows through intelligent automation, integrating with modern AI platforms, and delivering scalable solutions that drive business outcomes. Requirements Research, design and develop intelligent AI agents , AI/GenAI apps and chatbots using Azure OpenAI, Azure AI foundry, Semantic Kernel, Vector Databases, Azure AI Agent Service, Azure AI Model Inference, Azure AI Search, Azure Bot Services, Cognitive Services, Azure Machine Learning. Etc Lead architecture and implementation of AI workflows, including prompt engineering, RAG (Retrieval-Augmented Generation), and multi-turn conversational flows. Build and fine-tune LLM-based applications using Azure OpenAI (GPT models) for various enterprise use cases (customer support, internal tools, etc.). Integrate AI agents with backend services, APIs, databases, and third-party platforms via Azure Logic Apps, Azure Functions, and REST APIs. Design secure and scalable cloud architecture using Azure App Services, Azure Kubernetes Service (AKS), Azure API Management, etc. Collaborate with product managers, UX designers, and business stakeholders to define AI use cases and user interaction strategies. Conduct performance tuning, A/B testing, and continuous improvement of AI agent responses and model accuracy. Provide technical leadership, mentoring junior developers and contributing to architectural decisions. Stay up to date with advancements in Generative AI, LLM orchestration, and Azure AI ecosystem. Required Skills & Experience: 4+ years of experience in AI/ML or software development, with at least 2+ years focused on Azure AI and chatbot development. Strong knowledge of Azure OpenAI Service, Azure Bot Framework, Azure Cognitive Services (LUIS, QnA Maker, Speech). Experience with Python, Node.js, or C# for bot development. Familiarity with LangChain, Semantic Kernel, or other agent orchestration frameworks (preferred). Hands-on experience deploying AI solutions using Azure ML, Azure DevOps, and containerization (Docker/Kubernetes). Deep understanding of natural language processing (NLP), LLMs, and prompt engineering techniques. Experience with RAG pipelines, vector databases (e.g., Azure Cognitive Search or Pinecone), and knowledge grounding. Proven experience integrating chatbots with enterprise platforms (MS Teams, Slack, Web, CRM, etc.). Strong problem-solving skills, analytical mindset, and passion for emerging AI technologies. Preferred Qualifications: Microsoft Certified: Azure AI Engineer Associate or equivalent. Familiarity with Ethical AI, responsible AI design principles, and data governance. Prior experience in building multilingual and voice-enabled agents. Experience with CI/CD for AI pipelines using Azure DevOps or GitHub Actions. Benefits Attractive salary packages with performance-based incentives. Opportunities for professional certifications (e.g., AWS, Kubernetes, Terraform). Access to training programs, workshops, and learning resources. Comprehensive health insurance coverage for employees and their families. Wellness programs and mental health support. Hands-on experience with large-scale, innovative cloud solutions. Opportunities to work with modern tools and technologies. Inclusive, supportive, and team-oriented environment. Opportunities to collaborate with global clients and cross-functional teams. Regular performance reviews with rewards for outstanding contributions. Employee appreciation events and programs.

Responbilities 8+ years in technology, including 2+ in AI/NLP or prompt engineering Proven experience with LLMs (GPT-4, Claude, Gemini, or open-source equivalents) Proficiency in Python and prompt orchestration using APIs and libraries Provident fund

Senior Lead AI Engineer As a Sr Lead AI Engineer , you will drive innovation by contributing to the full software development lifecycle (SDLC) of AI solutions. This role involves conceptualizing, designing, developing, and implementing AI projects while providing essential technical leadership. Utilizing Microsoft-based technologies, including Copilot Studio, Azure Vision, Azure Language, and Azure OpenAI Service, you will develop scalable, stable, and secure AI solutions that meet business needs and efficiency objectives. Your expertise in AI and strong leadership skills will guide and inspire the team toward successful AI initiatives. What you will do: Requirement Analysis: Collaborate with business stakeholders to gather requirements and define solution objectives aligned with business goals. Development and Implementation: Lead AI solution implementation including data integration, model development, and deployment. Engineer and improve AI systems and tools. Build prototypes, POCs, and MVPs to bring solutions in a structured manner. Security and Compliance: Ensure AI solutions adhere to security best practices and data privacy regulations. Documentation and Training: Create technical documentation and best practice guidelines. Provide training on AI technologies. Monitoring and Maintenance: Implement monitoring to track AI solution performance and proactively address issues. Architecture: Design scalable, secure, and compliant AI solutions in collaboration with AI architects, integrating smoothly with existing IT infrastructure. Development and Implementation: Develop, test, and implement solutions following SDLC best practices, including version control, code review, and CI/CD processes. Quality Assurance and Testing: Execute comprehensive testing strategies and resolve defects. Integration and System Connectivity: Manage AI solution integration with internal and external systems, ensuring data consistency and interoperability. Documentation and Change Management: Produce detailed documentation for AI processes and handle changes with minimal disruption. Contribute to best practice development. What you need: Required Qualifications: Minimum 10 years in AI or data science roles, with a focus on building AI solutions on Azure. Proficient in Python or C#, with strong Azure cloud expertise. Skilled in Azure AI services (Copilot Studio, Cognitive Services, Machine Learning, OpenAI, Search, Blob Storage, Web App, Functions). Experience with LLMs, Generative AI, machine learning, NLP, and computer vision models. Preferred Qualifications: Knowledge of DevOps practices, CI/CD pipelines Azure certifications such as Azure AI Engineer Associate are a plus. Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field (Master's degree in Science preferred). Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

Role: Gen AI Engineer Location: Hyderabad Mode of Work : Hybrid Notice Period : 0-25 Days Job Description: Key Responsibilities: Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI. Implementing AI models: This involves building and integrating AI models into existing systems and applications. Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering. Data preprocessing and analysis: This involves preparing data for use in AI models. Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders. Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments. Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results. Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks. Required Skills: Strong programming skills in Python: Python is the preferred language for AI development. Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively. Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines. Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries. Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization. Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments. Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders. Optional Skills: Experience with cloud computing platforms (GCP, AWS, Azure): This can be helpful for deploying and managing AI models. Familiarity with MLOps practices: This can help with building and deploying AI models in a scalable and reliable manner. Experience with DevOps practices: This can help with automating the development and deployment of AI models. Job Type: Permanent Pay: ₹2,000,000.00 - ₹3,000,000.00 per year Schedule: Day shift Experience: Total: 6 years (Required) GenAI : 3 years (Required) Python : 4 years (Required) LLM : 3 years (Required) OpenAI, Claude, Gemini : 4 years (Required) Azure : 3 years (Required) Work Location: In person

About the Role: We are looking for a dynamic AI & Software Engineer to join our Transformation & AI team. This role is ideal for someone passionate about bringing the power of AI into real-world business problems.You will be responsible for leading the implementation of AI solutions using Microsoft’s Azure ecosystem, including Azure OpenAI, Copilot frameworks, and Microsoft 365 integrations.The ideal candidate is hands-on, thrives in ambiguity, and can rapidly translate business challenges into technical solutions, excited about prototyping AI agents, building quick PoCs, and shaping strategic AI initiatives. Key Responsibilities: Lead the design and development of AI solutions using Azure AI services, includingAzure OpenAI, Cognitive Services, Azure Machine Learning, and Microsoft CopilotSDKs. Work closely with business stakeholders to identify high-impact opportunities forAI-driven transformation across back-office operations. Build, test, and iterate on proof-of-concepts (PoCs) and pilots that solve realbusiness problems quickly. Integrate AI agents and copilots into existing business workflows using MicrosoftPower Platform, Graph API, and Teams/365 ecosystem. Collaborate with business and software engineering teams to productionizesuccessful PoCs and ensure adherence to full Software Development Lifecycle(SDLC) practices. Stay on top of the evolving AI/ML landscape, especially within Microsoft’s AIecosystem, and bring new ideas into the organization. Qualifications:• Bachelor’s or Master’s degree in Computer Science, Software Engineering, DataScience, or a related field. 6+ years of experience in software development, with at least 3+ years focusedon AI/ML solutions. Proven experience with Azure AI services (Azure OpenAI, Cognitive Services, AzureML). Hands-on experience building copilots or intelligent agents using Microsoft 365Copilot SDK, Teams Toolkit, or Power Platform. Hands-on experience on Azure Cloud Services such as FunctionApps, LogicApps,AppServices, and CosmosDB. Strong programming skills in Python, C#, or JavaScript/TypeScript. Experience working within Agile SDLC processes, with a deep understanding of bestpractices for scalable software delivery. Familiarity with DevOps practices and CI/CD pipelines on Azure DevOps or GitHubActions. • Excellent problem-solving skills and strong communication and collaboration skillsto effectively work with technical and non-technical stakeholders.• Hands-on experience with Salesforce integration and RPA tools – UI Path, PowerAutomate etc. Preferred Skills: Azure cloud certification. Experience with Power Automate and familiarity with Process Automation tools. Experience with Retrieval-Augmented Generation (RAG), vector databases (e.g.,Azure Cognitive Search, Pinecone, or Qdrant). Knowledge and/or experience with LLM frameworks for building Agentic AI like -LangChain, CrewAI, n8n etc. Experience integrating LLMs into business process workflows and chat-based UI(Teams, Power Apps, etc.). Exposure to enterprise business processes in operations, finance, HR, or legalfunctions. Prior experience in building citizen-developer enablement or AI CoE initiatives is astrong plus.

We are looking for skilled trainers(full-time/part-time) who can deliver high-quality training sessions either offline or online in any of the following domains: Full Stack Development: Java / Spring Boot / Angular / React Python / Django / Flask JavaScript / Node.js / Express Data Science & Analytics: Python, NumPy, Pandas, Scikit-learn Machine Learning, Deep Learning Power BI / Tableau Data Engineering: Big Data (Hadoop, Spark) ETL, SQL, NoSQL Cloud Data Platforms (AWS/GCP/Azure) Generative AI & AI Tools: OpenAI, LangChain, Prompt Engineering LLM fine-tuning, RAG, Vector DB Cloud Computing: AWS, Azure, GCP Cloud Architecture, IAM, DevOps basics DevOps: Docker, Kubernetes, Jenkins CI/CD, GitOps, Infrastructure as Code (Terraform, Ansible) Who Can Apply: Working professionals looking to share knowledge Trainers with 2+ years of teaching experience Freelancers and part-time educators Candidates with strong industry expertise and good communication skills Key Responsibilities: Design and deliver engaging, hands-on training sessions Prepare real-time projects and assignments for students Evaluate and support learners through assessments Provide mentoring and guidance when needed Why Join Us? Competitive compensation Flexibility in schedule (weekdays/weekends) Work with a passionate and expert team Job Types: Full-time, Part-time Pay: ₹300,000.00 - ₹900,000.00 per year Application Question(s): How many years of experience do you have in the IT industry and/or as a trainer? (Please specify both, if applicable) Are you applying for a full-time or part-time trainer position? Which tech stack or domain(s) are you interested in providing training for? Full-time Part-time Freelance / Weekend-only Work Location: In person

About the Role Location: On-Site (India preferred) Type: Full-time | Immediate Joiners Preferred We're building a next-gen AI product that personalizes conversations at scale using Large Language Models (LLMs). We’re looking for a hands-on AI Developer who can design, deploy, and optimize LLM-based solutions—from personalized chatbots to API-driven microservices. You’ll work closely with our product and business teams to bring real-world impact through intelligent automation. What You'll Do Build and fine-tune LLM-based chatbots for enterprise use cases (sales, leadership, culture) Integrate vLLM , OpenAI, or open-source models with APIs for fast inference Build scalable backends using Docker, FastAPI , or similar stacks Design custom APIs to serve LLM outputs securely Collaborate on data pipelines and vector databases like Pinecone, FAISS , or Weaviat Optimize latency, token usage, and model response quality Stay updated with latest developments in Generative AI & MLOps Key Skills We’re Looking For Strong experience with LLM APIs (OpenAI, Hugging Face, Cohere, etc.) Experience with vLLM or other model-serving frameworks Proficient in Python , FastAPI , and REST API development Hands-on with Docker and containerized deployments Familiarity with vector databases (Pinecone, FAISS, Qdrant) Bonus: Experience with prompt engineering, LangChain, or Retrieval-Augmented Generation (RAG) Ideal Profile 2–5 years of experience in AI/ML product development Proven projects or GitHub showcasing chatbot or LLM-based tools Curious, self-driven, and excited to build AI that actually solves business problems Why Join Us? Build from scratch in a high-impact B2B AI product Work directly with leadership & product strategy teams Be part of a lean, execution-focused founding team Flexible work setup, high ownership, and fast iterations How to Apply Send your resume and GitHub/portfolio to akshit.kaushik@originbluy.com Subject line: AI Developer Application – [Your Name] Job Types: Full-time, Permanent Pay: ₹30,000.00 - ₹40,000.00 per month Benefits: Commuter assistance Food provided Health insurance Internet reimbursement Schedule: Day shift Fixed shift Monday to Friday Morning shift Supplemental Pay: Performance bonus Yearly bonus Work Location: In person

Lead AI Engineer (GenAI & AI/ML Focus) Experience : 5+ years (with at least 1-2 years in GenAI/Agentic AI) About the Role We’re seeking a Lead AI Engineer to drive the design, development, and scaling of intelligent systems powered by Generative AI and Agentic AI architectures. You’ll play a central role in shaping the technical foundation of our AI solutions, guiding junior engineers, leading experiments, and taking end-to-end ownership of core components such as prompt infrastructure, model routing logic, RAG systems, and autonomous agents. This role blends deep hands-on engineering with architectural vision and technical leadership. If you’re someone who enjoys building fast, mentoring others, and solving tough AI problems across infrastructure, experimentation, and deployment, this role is for you. What You’ll Do Architect and implement LLM-based GenAI systems: prompt pipelines, retrieval flows, model selection, fallback mechanisms, prompt optimization, prompt versioning, modular prompts, and tool orchestration strategies Design and lead multi-agent systems with memory, tool-use, task adaptation, and inter-agent collaboration using frameworks like LangGraph, CrewAI, AutoGen, LangChain Architect, deploy, and continuously evolve retrieval-augmented generation (RAG) pipelines, handle model substitution, evaluation, prompt versioning, and runtime fallback strategies Drive the creation of internal prompt libraries, LLM orchestration logic, and evaluation harnesses Collaborate on fine-tuning, embedding optimization, and multi-model substitution workflows Collaborate on model evaluation, benchmarking, and agentic stress testing in production Own end-to-end AI applications involving image, text, tabular, and signal data, working with both unimodal and multi-modal inputs Develop solutions in computer vision (e.g., OCR, classification, object detection) and multi-modal AI (e.g., text + image pipelines) Design and evaluate statistical models and classical ML systems, including time-series forecasting and predictive analytics Lead development of signal processing or anomaly detection systems (e.g., for sensor, telemetry, or log data) Build & support cost-optimization, compliance, and monitoring in GenAI deployments Mentor and unblock junior AI engineers and interns through code reviews, architecture sessions, and contribute to team knowledge base and enforce internal best practices Work closely with product, data, and platform teams to bring AI prototypes to production Partner with Data, Product, and Platform teams to ship enterprise-grade AI modules Who Should Apply You are a builder with: Minimum qualification: Bachelor’s or Master’s degree Disciplines: Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Engineering, Physics, Statistics, Finance, Economics, or any other quantitative or computational field 5+ years of professional experience in AI/ML development (with 1-2+ years in GenAI or Agentic systems) Proven experience architecting and shipping real-world AI applications at scale Strong mentoring skills and a product-focused engineering mindset An interest in shaping the long-term AI strategy while delivering short-term wins Must-Have Skills Strong Python development skills with emphasis on modular, testable design Deep familiarity with LLM APIs, prompt frameworks (e.g., LangChain, LangGraph, CrewAI), and RAG pipelines Experience building systems for model selection, prompt fallback, tool orchestration, and versioning Familiarity with MLOps pipelines, ML monitoring, and model lifecycle management Experience in building and optimizing RAG architectures and vector database integrations Knowledge of model selection, fallbacks, prompt versioning, and task decomposition Strong grasp of autonomous agent design, reasoning, tool use, and multi-agent protocols Exposure to near real-time signal/voice processing, filtering, or event-based triggers (e.g., anomaly/event detection) Practical knowledge of statistical modeling, forecasting (ARIMA, Prophet, ML-based), or classical ML pipelines 5+ years in AI/ML engineering, including 1–2+ years working directly on GenAI/Agentic AI projects Preferred Skills Experience with multi-agent collaboration patterns (e.g., A2A, MCP) Deployment experience on GenAI platforms like OpenAI, Claude, Vertex AI, Amazon Bedrock, or Azure GenAI Familiarity with serverless deployment, egress handling, and LLM usage constraints Exposure to evaluation frameworks, benchmarking suites, or internal testing systems Experience integrating AI flows with external systems (BI tools, dashboards, APIs, automation platforms) Prior experience designing multi-modal pipelines combining vision, text, or sensor data Bonus / Good-to-Have Hands-on with fine-tuning workflows (LoRA, PEFT, etc.) Understanding of vector database internals and hybrid retrieval methods Familiarity with CV/multi-modal AI workflows using OpenCV, TorchVision, CLIP, BLIP, or related libraries Prior experience contributing to open-source GenAI libraries or leading internal tool development Why Join Us Help shape the next-gen AI stack from the ground up Work in a fast-moving environment with real ownership and autonomy Collaborate with a cross-disciplinary team at the cutting edge of GenAI and agentic systems Be part of an organization that values experimentation, modularity, and long-term impact Interested candidates can share the CV on shikha.rana@antiersolutions.com Job Type: Full-time Pay: ₹800,000.00 - ₹1,500,000.00 per year Benefits: Paid sick time Provident Fund Schedule: Day shift Monday to Friday Morning shift Application Question(s): How many days of Notice period you have? Experience: Machine learning: 4 years (Preferred) Team management: 4 years (Preferred) Location: Mohali, Punjab (Required) Work Location: In person

Job Title: Python Developer Location: Mohali, Punjab Company: RevClerx About RevClerx: RevClerx Pvt. Ltd., founded in 2017 and based in the Chandigarh/Mohali area (India), is a dynamic Information Technology firm providing comprehensive IT services with a strong focus on client-centric solutions. As a global provider, we cater to diverse business needs including website designing and development, digital marketing, lead generation services (including telemarketing and qualification), and appointment setting. Job Summary: We are seeking a motivated and skilled Python Developer with 3-4 years of professional experience to join our dynamic engineering team. The ideal candidate will be proficient in developing, deploying, and maintaining robust Python-based applications and services. You will play a key role in the entire software development lifecycle, from conceptualization and design through testing, deployment, and ongoing maintenance. While core Python development is essential, we highly value candidates with an interest or experience in emerging technologies like AI/ML and Large Language Model (LLM) applications. Key Responsibilities: ● Design, develop, test, deploy, and maintain high-quality, scalable, and efficient Python code. ● Collaborate closely with product managers, designers, and other engineers to understand requirements and translate them into technical solutions. ● Participate in the full software development lifecycle (SDLC) using Agile methodologies. ● Write clean, maintainable, well-documented, and testable code. ● Contribute to code reviews to ensure code quality, share knowledge, and identify potential issues. ● Troubleshoot, debug, and upgrade existing software systems. ● Develop and integrate with RESTful APIs and potentially other web services. ● Work with databases (like Postgersql) to store and retrieve data efficiently. ● Optimize applications for maximum speed, scalability, and reliability. ● Stay up-to-date with the latest industry trends, technologies, and best practices in Python development and related fields. ● Potentially assist in the integration of AI/ML models or contribute to projects involving LLM-based agents or applications. Minimum Qualifications: ● Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. ● 3-4 years of professional software development experience with a primary focus on Python. ● Strong proficiency in Python and its standard libraries. ● Proven experience with at least one major Python web framework (e.g., Django, Flask, FastAPI). ● Solid understanding of object-oriented programming (OOP) principles. ● Experience working with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Redis). ● Proficiency with version control systems, particularly Git. ● Experience designing, building, and consuming RESTful APIs. ● Familiarity with Agile development methodologies (e.g., Scrum, Kanban). ● Strong problem-solving and analytical skills. ● Excellent communication and teamwork abilities. Preferred (Good-to-Have) Qualifications: ● AI/ML Knowledge: ○ Basic understanding of machine learning concepts and algorithms. ○ Experience with relevant Python libraries for data science and ML (e.g., Pandas, NumPy, Scikit-learn). ○ Experience integrating pre-trained ML models into applications. ○ Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus. ● LLM Experience: ○ Demonstrable interest or hands-on experience in building applications leveraging Large Language Models (LLMs). ○ Experience working with LLM APIs (e.g., OpenAI GPT, Anthropic Claude, Google Gemini). ○ Familiarity with LLM frameworks or libraries (e.g., LangChain, LlamaIndex). ○ Understanding of basic prompt engineering techniques. ○ Experience building or experimenting with LLM-powered agents or chatbots. ● Containerization & Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes. ● CI/CD: Experience setting up or working with Continuous Integration/Continuous Deployment (CI/CD) pipelines (e.g., Jenkins, GitLab CI, GitHub Actions). ● Asynchronous Programming: Experience with Python's asynchronous libraries (e.g., asyncio, aiohttp). What We Offer: ● Challenging projects with opportunities to work on cutting-edge technologies especially in the field of AI. ● Competitive salary and comprehensive benefits package. ● Opportunities for professional development and learning (e.g., conferences, courses, certifications). ● A collaborative, innovative, and supportive work environment. Job Type: Full-time Pay: ₹14,154.00 - ₹65,999.72 per month Benefits: Food provided Health insurance Location Type: In-person Schedule: Day shift Monday to Friday Work Location: In person

Job Title: Senior Software Architect & Technical Lead Location: Onsite – Ahmedabad, India Experience: 8+ Years Employment Type: Full-Time Role Overview We are looking for a highly skilled and hands-on Senior Software Architect & Technical Lead to join our core team in Ahmedabad. This individual will lead the end-to-end architecture, development, and technical execution across a range of enterprise, AI-powered, and end-user applications. The ideal candidate is both a builder and a strategist—equally comfortable writing code, guiding teams, and shaping the technical direction of the organization. Key Responsibilities Architecture & Design Architect scalable, modular, and secure platforms with long-term maintainability. Design system-wide components and enforce technical standards across teams. Own architecture reviews, risk mitigation, and technical documentation. AI-Enabled Development Architect and integrate AI tools (e.g., LLMs, recommendation engines, chatbots). Work with prompt engineering, vector databases, and generative AI APIs (e.g., OpenAI, Hugging Face). Guide team members on practical AI use cases across platforms. Security-Driven Engineering Implement secure-by-design principles across backend and frontend systems. Ensure alignment with OWASP, GDPR, SOC2, and other relevant compliance frameworks. Perform secure code reviews and threat modeling sessions. End-User Application Engineering Architect robust, performant user-facing applications (web/mobile/desktop). Collaborate with product and design teams on usability, accessibility, and interaction design. Define and promote frontend architecture and scalable design systems. Leadership & Mentorship Serve as a technical authority across engineering squads. Mentor engineers on design patterns, architecture principles, and technical strategy. Help define KPIs and performance benchmarks for team and product. Requirements Education & Experience B.E./B.Tech/M.Tech in Computer Science or a related field. 8+ years of software development experience with 2+ years in a technical leadership or architectural role. Technical Skills Strong grasp of system design, scalable APIs, cloud-native architecture. Experience with full-stack development: React/Angular + Node/Java/Python. Experience building and integrating AI solutions (e.g., OpenAI APIs, Cursor, Claude, embeddings, NLP). Familiarity with authentication and identity protocols (SSO, OAuth2, JWT). Hands-on with DevOps, containerization (Docker/Kubernetes), CI/CD pipelines. Soft Skills Excellent communication and problem-solving skills. Passion for technology mentorship, quality, and performance. Comfort operating in fast-paced, product-led environments. Preferred Experience Prior work in early-stage product companies or startups. Experience with IoT, embedded systems, or platform integration is a plus. Familiarity with PLM systems and software lifecycle governance tools. What You’ll Gain Key leadership role in a high-growth company building future-focused platforms. Hands-on access to emerging tech stacks including AI, security, and intelligent UX. Opportunity to shape technical culture, mentor teams, and scale robust products. Job Type: Full-time Pay: ₹938,446.66 - ₹2,352,179.66 per year Schedule: Monday to Friday Language: English (Required) Location: Science City, Ahmedabad, Gujarat (Required) Work Location: In person Speak with the employer +91 9510240007 Expected Start Date: 15/07/2025

We are looking for a skilled AI Automation Developer who can build, implement, and maintain personalized AI agents for various use cases like WhatsApp booking/order bots for restaurants, client support bots, and other small business automation tools using n8n, OpenAI, and similar platforms . Your work will involve designing workflows, integrating APIs, and building simple dashboards or client panels where clients can log in, view chats/orders, and manage their AI agent seamlessly. Key Responsibilities: Design, build, and deploy AI agents using n8n or similar platforms . Integrate OpenAI or similar LLM APIs for conversation flows in WhatsApp bots and other channels. Implement WhatsApp Cloud API or relevant gateways for live WhatsApp bot deployment. Develop basic client dashboards to: Allow clients to log in securely, View incoming chats and orders, Export order data and manage conversations. Customize AI agents for different businesses (restaurants, service businesses, etc.). Maintain and update existing workflows and integrations as needed. Troubleshoot issues, monitor workflows, and ensure smooth functioning of deployed agents. Document workflows, logic, and SOPs for reusability and scalability. Keep up with the latest updates in AI and no-code/low-code automation tools to optimize workflows. Requirements: Proven experience with n8n or similar workflow automation platforms (Zapier, Make, etc.). Familiarity with WhatsApp Cloud API, Meta developer tools, and webhook integrations . Experience with OpenAI APIs for conversational AI implementation. Knowledge of basic front-end (React, Next.js, or similar) for creating client dashboards (or experience with frameworks like Appsmith/Retool). Good understanding of APIs, JSON handling, and webhook logic. Strong problem-solving skills and ability to design practical, working solutions quickly. Excellent communication skills to understand requirements and update clients as needed. Ability to manage multiple projects and deliver within deadlines. [Optional] Experience with Twilio, Google Sheets automation, or other SaaS integrations will be a plus. What We Offer: ✅ Opportunity to work on cutting-edge AI and automation projects . ✅ Exposure to building practical AI products for small businesses. ✅ Flexible working hours, remote-friendly environment. ✅ Opportunity to grow into a lead role in AI automation. ✅ Competitive salary based on skills and experience. Example Projects You Will Handle: WhatsApp booking bot for restaurants that takes orders and sends confirmations. AI support bot for coaching businesses that handles FAQs and demo bookings. WhatsApp bot for service providers (AC repair, beauty salons, etc.) to handle appointment scheduling. Internal AI agents for data collection and reporting via WhatsApp/Telegram. Job Type: Full-time Pay: From ₹15,000.00 per month Benefits: Provident Fund Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person

📍 Location: India / Remote (WFH) 🕒 Schedule: Mon–Fri, 10 AM–6 PM 📅 Type: Full-Time 💼 Experience: 3–5 Years About the Role We’re hiring a Senior AI/ML Engineer to lead the design, development, and deployment of scalable AI solutions—including Generative AI, LLMs, and sustainability-driven ML systems . This is a high-impact, hands-on role where you’ll collaborate cross-functionally, own the end-to-end ML lifecycle, and build products that deliver real-world business value across industries like FinTech, HealthTech, and more. Company Description SynerPeak HR Consultants specializes in connecting exceptional talent with forward-thinking companies. They help organizations scale by delivering top-tier professionals who align with their culture, values, and goals. With expertise in various industries, SynerPeak offers end-to-end recruitment solutions, executive search, talent mapping, employer branding consultation, and contract-based hiring. What You'll Bring Strong command of Python, SQL , and ML frameworks: scikit-learn, TensorFlow, PyTorch Experience with ML pipelines (Airflow, MLflow, Kubeflow) and cloud platforms (AWS/GCP/Azure) Skilled in model deployment , MLOps , containerization (Docker, Kubernetes), CI/CD Familiar with deep learning , LLMs , RAG , and Agentic AI frameworks (LangChain, OpenAI API) Key Responsibilities ML & GenAI Engineering Build and deploy models for NLP, recommendation, classification, etc. Fine-tune LLMs and implement RAG-based multi-agent GenAI systems Manage full ML lifecycle: deployment, monitoring, optimisation, drift detection Handle data preprocessing, feature engineering, and model evaluation Work with cross-functional teams and contribute to product decisions Convert business goals into AI-driven technical solutions Stay ahead in AI/ML research and rapidly apply new techniques You’re a Great Fit If You... Take initiative and own your decisions Know when not to use GenAI Can clearly explain trade-offs to engineers & business stakeholders Why Join Us? Flexibility & Time Off Flexible hours Paid leave (sick, personal, bereavement) Fully paid insurance 6 months maternity & 3 months paternity leave Extras Team events (virtual + in-person) Equity options & competitive salary What You'll Work On 50% : Building robust, production-grade AI systems 25% : Prototyping and researching innovative ML/GenAI ideas 25% : Collaborating with stakeholders to solve real-world business challenges Ready to lead real-world AI innovation? Apply now and be part of something transformative. Please send your updated Resume and cover letter to hr@synerpeak.com

R1 RCM India is proud to be recognized amongst India's Top 50 Best Companies to Work For TM 2023 by Great Place To Work® Institute. We are committed to transform the healthcare industry with our innovative revenue cycle management services. Our goal is to ‘make healthcare simpler’ and enable efficiency for healthcare systems, hospitals, and physician practices. With over 30,000 employees globally, we are about 14,000 strong in India with offices in Delhi NCR, Hyderabad, Bangalore, and Chennai. Our inclusive culture ensures that every employee feels valued, respected, and appreciated with a robust set of employee benefits and engagement activities. Job Description: R1RCM is a leading provider of technology-driven solutions that transform the patient experience and financial performance of healthcare providers. We are looking for an experienced AI/ML engineer to join our R&D team, who can work on ML (Machine Learning) models, use deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference in the healthcare industry. Objectives of this role Develop and implement solutions/processes and carry out R&D (Research and Development) to meet the needs of our AI/ML strategy. Help in design and development of advanced analytic solutions across functional areas as per requirement/opportunities. Foster innovative ideas for developing high impact solutions. Responsibilities As part of the R&D team, help the team to advise leaders on a broad range of technology, strategy associated with AI (Artificial Intelligence) & ML Work on functional design, process design (including scenario design, flow mapping),prototyping, testing, and support procedures, in collaboration with the team. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Work as team members, develop & assess the AI/ML and automation opportunities. Enable team members/as individual contributors to make necessary changes in product performance or presentation. Develop new and innovative AI/ML based solutions and PoC (Proof of Concept)/MVP with quick turnaround Must have skills. 5-8 Years of experience in IT including 3+ years in developing / applying ML /AI models to practical and comprehensive technology solutions. Must be graduate in Computer Science preferably B. Tech/B.E. or MCA etc. Experience with ML, Python, NLP, Azure services, OpenAI, GenAI, LLM. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns. Experience in API development/consumption. Experience with frontend technologies like Javascript/Jquery/React/Angular NoSQL/RDBMS database design and optimizations. Good to Have Skills Good to have knowledge of any other programming and/or scripting language. Exposure to Cloud technology like AWS (Amazon Web Services) / GCP (Google Cloud Platform). Open and willing to learn & work in any technology. Experience with visualization tools (e.g., Power BI, Tableau etc.) Experience in Healthcare sector e.g. RCM Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions. Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests. Our associates are given valuable opportunities to contribute, to innovate and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package. To learn more, visit: r1rcm.com Visit us on Facebook

R1 RCM India is proud to be recognized amongst India's Top 50 Best Companies to Work For TM 2023 by Great Place To Work® Institute. We are committed to transform the healthcare industry with our innovative revenue cycle management services. Our goal is to ‘make healthcare simpler’ and enable efficiency for healthcare systems, hospitals, and physician practices. With over 30,000 employees globally, we are about 14,000 strong in India with offices in Delhi NCR, Hyderabad, Bangalore, and Chennai. Our inclusive culture ensures that every employee feels valued, respected, and appreciated with a robust set of employee benefits and engagement activities. Job Description: R1RCM is a leading provider of technology-driven solutions that transform the patient experience and financial performance of healthcare providers. We are looking for an experienced AI/ML engineer to join our R&D team, who can work on ML (Machine Learning) models, use deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference in the healthcare industry. Objectives of this role Develop and implement solutions/processes and carry out R&D (Research and Development) to meet the needs of our AI/ML strategy. Help in design and development of advanced analytic solutions across functional areas as per requirement/opportunities. Foster innovative ideas for developing high impact solutions. Responsibilities As part of the R&D team, help the team to advise leaders on a broad range of technology, strategy associated with AI (Artificial Intelligence) & ML Work on functional design, process design (including scenario design, flow mapping),prototyping, testing, and support procedures, in collaboration with the team. Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation. Work as team members, develop & assess the AI/ML and automation opportunities. Enable team members/as individual contributors to make necessary changes in product performance or presentation. Develop new and innovative AI/ML based solutions and PoC (Proof of Concept)/MVP with quick turnaround Must have skills. 6-10 Years of experience in IT including 3+ years in developing / applying ML /AI models to practical and comprehensive technology solutions. Must be graduate in Computer Science preferably B. Tech/B.E. or MCA etc. Experience with ML, Python, NLP, Azure services, OpenAI, GenAI, LLM. Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns. Experience in API development/consumption. Experience with frontend technologies like Javascript/Jquery/React/Angular NoSQL/RDBMS database design and optimizations. Good to Have Skills Good to have knowledge of any other programming and/or scripting language. Exposure to Cloud technology like AWS (Amazon Web Services) / GCP (Google Cloud Platform). Open and willing to learn & work in any technology. Experience with visualization tools (e.g., Power BI, Tableau etc.) Experience in Healthcare sector e.g. RCM Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions. Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests. Our associates are given valuable opportunities to contribute, to innovate and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package. To learn more, visit: r1rcm.com Visit us on Facebook

Senior Executive EXL/SE/1407664 Digital SolutionsNoida Posted On 30 Jun 2025 End Date 14 Aug 2025 Required Experience 0 - 2 Years Basic Section Number Of Positions 2 Band A2 Band Name Senior Executive Cost Code D012603 Campus/Non Campus NON CAMPUS Employment Type Permanent Requisition Type New Max CTC 150000.0000 - 1000000.0000 Complexity Level Not Applicable Work Type Hybrid – Working Partly From Home And Partly From Office Organisational Group EXL Digital Sub Group Digital Solutions Organization Digital Solutions LOB Digital Solutions SBU SmartAudit.AI & Data Loops Country India City Noida Center Noida - Centre 59 Skills Skill SQL STAKEHOLDER MANAGEMENT Minimum Qualification B.TECH/B.E Certification No data available Job Description Job Title: AI Operations Engineer – GenAI & Traditional Models Location: NCR/Bangalore Experience Level: 1–2 years (Entry to Intermediate) About the Role: We are seeking a hands-on, curious, and impact-driven AI Operations Engineer to join our Run & Maintain team for supporting production-grade Generative AI and Traditional ML models. This role is perfect for early-career Data Scientists or ML Engineers eager to step into the dynamic world of GenAI while deepening their skills in AI model lifecycle management, monitoring, and improvement. You’ll be on the frontlines—keeping AI systems healthy, reliable, and continually improving. Key Responsibilities: Monitor and maintain health of production AI models (GenAI and traditional ML). Troubleshoot data/model/infra issues across model pipelines, APIs, embeddings, and prompt systems. Collaborate with Engineering and Data Science teams to deploy new versions and manage rollback if needed. Implement automated logging, alerting, and retraining pipelines. Handle prompt performance drift, input/output anomalies, latency issues, and quality regressions. Analyze feedback and real-world performance to propose model or prompt enhancements. Conduct A/B testing, manage baseline versioning and monitor model outputs over time. Document runbooks, RCA reports, model lineage and operational dashboards. Support GenAI adoption by assisting in evaluations, hallucination detection, and prompt optimization. Must-have Skills: 1+ year of experience in Data Science, ML, or MLOps. Good grasp of ML lifecycle, model versioning, and basic monitoring principles. Strong Python skills with exposure to ML frameworks (scikit-learn, pandas, etc.). Basic familiarity with LLMs and interest in GenAI (OpenAI, Claude, etc.). Exposure to AWS/GCP/Azure or any MLOps tooling. Comfortable reading logs, parsing metrics, and triaging issues across the stack. Eagerness to work in a production support environment with proactive ownership. Nice-to-Have Skills: Prompt engineering knowledge (system prompts, temperature, tokens, etc.). Hands-on with vector stores, embedding models, or LangChain/LlamaIndex. Experience with tools like MLflow, Prometheus, Grafana, Datadog, or equivalent. Basic understanding of retrieval pipelines or RAG architectures. Familiarity with CI/CD and containerization (Docker, GitHub Actions). Ideal Candidate Profile: A strong starter who wants to go beyond notebooks and see AI in action. Obsessed with observability, explainability, and zero-downtime AI. Wants to build a foundation in GenAI while leveraging their traditional ML skills. A great communicator who enjoys cross-functional collaboration. Workflow Workflow Type Digital Solution Center

Job Title: Python Developer – LLM & LangChain Location: Indore Onsite(Immediate Joiner) Experience: 3+ Years Note- Current Location Indore considered only Job Summary: We are looking for a skilled and passionate Python Developer with experience in Django , FastAPI , and hands-on work with LangChain and Large Language Models (LLMs) . This role is ideal for someone who enjoys building intelligent systems, integrating with modern AI tools, and delivering scalable backend solutions. Key Responsibilities: Design, develop, and maintain backend applications using Python , Django , and FastAPI Integrate and build applications using LangChain , LLMs , or similar generative AI frameworks Collaborate with AI/ML and product teams to implement intelligent features Optimize APIs for performance, scalability, and security Work closely with frontend developers, DevOps, and QA to ensure seamless product delivery Stay updated with the latest advancements in generative AI and LLM tooling Required Skills: Minimum 3+ years of hands-on experience in Python development Strong expertise in Django and FastAPI frameworks Practical experience working with LangChain , LLMs , or other large language model APIs (e.g., OpenAI, Cohere, Anthropic) Understanding of RESTful API design and microservices architecture Experience with version control (Git) and CI/CD tools Good problem-solving skills and ability to work in an agile environment Preferred Skills (Good to Have): Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate) Exposure to prompt engineering and NLP techniques Familiarity with containerization tools like Docker Experience with cloud platforms like AWS, GCP, or Azure Job Type: Full-time Pay: ₹13,378.21 - ₹60,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Work Location: In person

TV-011 - Python (AI / ML) Developer Job Location : Indore Overall Experience : 3+ Yrs Job Type : Full-Time Key Responsibilities: Design and develop RESTful APIs using Flask Develop and maintain web applications using Python and Flask Integrate OpenAI technologies into existing and new applications Design, develop, and implement machine learning models and algorithms Collaborate with data scientists to implement AI models Write efficient, scalable, and reusable Python code Optimize and fine-tune machine learning models for performance Troubleshoot and debug applications Ensure the scalability and performance of applications Implement security best practices Participate in code reviews and ensure adherence to best practices Create and maintain technical documentation Stay up-to-date with the latest advancements in AI/ML technologies Collaborate with cross-functional teams to define and achieve project goals Preferred Skills: 3+ years of experience and a degree in Computer Science Strong expertise in Python, Flask, and REST APIs Hands-on experience with OpenAI, SQL/NoSQL databases, and Git Solid knowledge of Machine Learning, CI/CD pipelines (GitHub), and cloud platforms (AWS/Azure/GCP)

Azure AI Engineer (Urgently Required) Experience Required: 5+ Years Job type: Hybrid Job Location: Pune Key Responsibilities: * Design and deploy AI/ML models using Azure AI/ML Studio, Azure Machine Learning, and Azure Cognitive Services. * Implement and manage data pipelines for model training workflows, and ML lifecycle in the Azure ecosystem. * Work with business stakeholders to gather requirements, analyze data, and deliver predictive insights. * Collaborate with data engineers and product teams to deliver scalable and production-ready AI solutions. * Ensure model monitoring, versioning, governance, and responsible AI practices are in place. * Contribute to solution documentation and technical architecture. * Design AI agents with Azure stack including but not limited to Autogen, PromptFlow, ML Studio, AI Foundry, AI Search, LangChain, LangGraph etc. Required Skills & Qualifications: * 5 years of hands-on experience in AI/ML, data science, or machine learning engineering. * Mandatory Certification: o Microsoft Azure AI Engineer Associate OR o Microsoft Azure Data Scientist Associate * Strong knowledge of Azure services: Azure Machine Learning, Cognitive Services, Azure Functions, AI Foundry, and Azure Storage. * Proficient in Python, with experience using ML libraries such as scikit-learn, TensorFlow, PyTorch, or similar. * Solid understanding of data science lifecycle, model evaluation, and performance optimization. * Experience with version control tools like Git and deployment through CI/CD pipelines. * Excellent problem-solving and communication skills. * Strong experience in building AI Agents * Experience with LLMs, prompt engineering, or GenAI tools (Azure OpenAI, Hugging Face, Vector Databases etc.). Good to Have: * Experience with Power BI or other data visualization tools. * Exposure to MLOps tools and practices. Job Type: Full-time Pay: ₹1,800,000.00 - ₹2,000,000.00 per year Schedule: Night shift Experience: azure: 5 years (Preferred) AI: 5 years (Required) License/Certification: Azure Certification (Required) AI Certification (Required) Location: Pune, Maharashtra (Required) Work Location: In person