333 Ai Platform Jobs - Page 13

Designing scalable and high-performance generative AI systems, including end-to-end solutions from data ingestion to model deployment. Developing AI strategies aligned with organizational goals, new tools and techniques in AI capabilities. Required Candidate profile Leading the development of generative models, potentially including transformers and large language models (LLMs), and staying abreast of the latest advancements in the field.

Job Summary: We are seeking a highly motivated and analytical AI Analyst to join our growing team. The AI Analyst will play a crucial role in bridging the gap between raw data, advanced AI models, and actionable business insights. This individual will be responsible for analyzing AI model performance, identifying trends, developing visualizations, and collaborating with data scientists, engineers, and business stakeholders to optimize AI solutions and drive strategic decision-making. Key Responsibilities: AI Model Performance Analysis: Monitor, evaluate, and report on the performance of AI and machine learning models, identifying anomalies, biases, and areas for improvement. Data Analysis & Exploration: Conduct in-depth analysis of large datasets to uncover insights, prepare data for model training, and assess data quality. Insight Generation: Translate complex analytical findings into clear, concise, and actionable insights for non-technical stakeholders, supported by compelling visualizations. Collaboration & Communication: Work closely with Data Scientists, Machine Learning Engineers, Product Managers, and business units to understand requirements, define metrics, and communicate results effectively. Dashboard & Reporting Development: Design, develop, and maintain dashboards, reports, and data visualizations to track key performance indicators (KPIs) related to AI initiatives. Problem Identification: Proactively identify business problems and opportunities that can be addressed or enhanced through AI solutions. A/B Testing & Experimentation: Assist in designing and analyzing A/B tests and other experiments to evaluate the impact of AI model changes and new features. Documentation: Create and maintain comprehensive documentation for data processes, model performance, and analytical methodologies. Stay Updated: Keep abreast of the latest advancements in AI, machine learning, and data analytics tools and techniques. Qualifications: Required: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field. 2+ years of experience in a data analyst, business intelligence, or similar analytical role, with exposure to AI/ML concepts. Strong proficiency in SQL for data extraction and manipulation. Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Matplotlib, Seaborn). Solid understanding of statistical concepts and their application in data analysis. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Preferred: Master's degree in a relevant field. Familiarity with Python or R for data analysis, scripting, and statistical modeling. Experience with cloud platforms (e.g., OCI, AWS, Azure, GCP) and their data/ML services. Understanding of machine learning algorithms (e.g., regression, classification, clustering) and their evaluation metrics. Experience working in an agile development environment. What We Offer: Competitive salary and benefits package. Opportunity to work on exciting and impactful AI projects. A collaborative and innovative work environment. Professional development and growth opportunities. Flexible work arrangements (if applicable). Company-specific benefits, e.g., health insurance, paid time off, 401k/retirement plans, etc.]

Job Summary: We are seeking a highly motivated and analytical AI Analyst to join our growing team. The AI Analyst will play a crucial role in bridging the gap between raw data, advanced AI models, and actionable business insights. This individual will be responsible for analyzing AI model performance, identifying trends, developing visualizations, and collaborating with data scientists, engineers, and business stakeholders to optimize AI solutions and drive strategic decision-making. Key Responsibilities: AI Model Performance Analysis: Monitor, evaluate, and report on the performance of AI and machine learning models, identifying anomalies, biases, and areas for improvement. Data Analysis & Exploration: Conduct in-depth analysis of large datasets to uncover insights, prepare data for model training, and assess data quality. Insight Generation: Translate complex analytical findings into clear, concise, and actionable insights for non-technical stakeholders, supported by compelling visualizations. Collaboration & Communication: Work closely with Data Scientists, Machine Learning Engineers, Product Managers, and business units to understand requirements, define metrics, and communicate results effectively. Dashboard & Reporting Development: Design, develop, and maintain dashboards, reports, and data visualizations to track key performance indicators (KPIs) related to AI initiatives. Problem Identification: Proactively identify business problems and opportunities that can be addressed or enhanced through AI solutions. A/B Testing & Experimentation: Assist in designing and analyzing A/B tests and other experiments to evaluate the impact of AI model changes and new features. Documentation: Create and maintain comprehensive documentation for data processes, model performance, and analytical methodologies. Stay Updated: Keep abreast of the latest advancements in AI, machine learning, and data analytics tools and techniques. Qualifications: Required: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field. 2+ years of experience in a data analyst, business intelligence, or similar analytical role, with exposure to AI/ML concepts. Strong proficiency in SQL for data extraction and manipulation. Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Matplotlib, Seaborn). Solid understanding of statistical concepts and their application in data analysis. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Preferred: Master's degree in a relevant field. Familiarity with Python or R for data analysis, scripting, and statistical modeling. Experience with cloud platforms (e.g., OCI, AWS, Azure, GCP) and their data/ML services. Understanding of machine learning algorithms (e.g., regression, classification, clustering) and their evaluation metrics. Experience working in an agile development environment. What We Offer: Competitive salary and benefits package. Opportunity to work on exciting and impactful AI projects. A collaborative and innovative work environment. Professional development and growth opportunities. Flexible work arrangements (if applicable). Company-specific benefits, e.g., health insurance, paid time off, 401k/retirement plans, etc.]

Gen AI (AI | DevOps | Security ) 2+ yrs exp (On paper) Upto 8.5LPA Btech/BE/Mtech Only BLR Pune Chennai HYD Exp in AI Model Engineering,AI CoE,AI Center,cloud computing,CoE,Terraform,ARM templates,CloudFormation. mansikohliimaginator@gmail.com Required Candidate profile Python or Java, or C++,AI CoE (Cloud Platform: Azure/AWS/GCP),Azure, AWS, or GCP,our AI Center of Excellence,front-end web development,HTML, CSS, JavaScript,cybersecurity, DevSecOps,to AI/ML security

Seeking a Full Stack Developer with 2-3 years experience in scalable app development. Must be proficient in frontend & backend tech, and passionate about AI tools and prompt engineering to boost productivity and innovation.

Seeking a Database Developer with 2–3 years' experience in designing, developing, and managing secure, scalable databases. Must be skilled in MySQL, AWS RDS, and familiar with AI tools to optimize database operations.

Designation: Full Stack Engineers Location: Kochi (Hybrid Work Model) Shift Time: US Shift (6:30 PM IST - 3:30 AM IST) Job Type: Full-time Experience Level: 0- 2 years Openings: 2 positions About Us Were a fast-moving startup team building multiple modern tech products from real-time platforms and developer tools to AI-integrated services. Our engineering culture is AI-native , meaning we use tools like ChatGPT, Claude Code, GitHub Copilot, and other AI tools to move fast, write better code, and focus human effort where it matters most: clean architecture, intuitive UX, and solving hard problems. Youll join us early, ship real products, and grow fast. About the Role Were looking for two generalist full-stack engineers who are curious, self-driven, and excited to work across the stack from frontend UI to backend microservices to AI-powered features. Youll rotate across projects and collaborate closely with senior engineers and founders. What Youll Do Build and maintain modern web apps using React, TypeScript, and Tailwind CSS Develop and deploy scalable backend services using Node.js (NestJS), Go, or Python Work with real-time data , WebSockets , and Kafka event pipelines Integrate LLM and AI APIs (e.g., OpenAI, Whisper, HuggingFace) into real-world features Participate in daily stand-ups, weekly code reviews, and fast feedback loops Use Docker , GitHub Actions , and GKE to build and deploy microservices Youre a Great Fit If You Have 02 years of professional experience (internships or personal projects welcome) Have built real-world projects using React, Node, Python, or Go Use ChatGPT/Claude AI productively to write, refactor, and debug code Enjoy working across the stack and learning unfamiliar technologies quickly Prefer shipping over polishing, and clarity over complexity Have a basic grasp of Docker , REST APIs , and real-time events (WebSockets, etc.) Bonus Skills (Nice to Have) Exposure to AI/LLM APIs (OpenAI, Whisper, LangChain) Experience with PostgreSQL , Kafka , or Redis Familiarity with vector databases like PGVector or Weaviate Interest in DevOps, observability , or infrastructure-as-code (Terraform, Helm) Our Stack You don't need to know all of this but youll be learning and using many of these tools: Frontend: React, Next.js, TypeScript, Tailwind, shadcn/ui, Framer Motion Backend: NestJS, Go, FastAPI, PostgreSQL, Redis, Kafka AI/LLM: OpenAI, Whisper, LangChain, HuggingFace, PGVector Infra: Docker, GKE, Argo CD, GitHub Actions, Terraform How to Apply Send us: Your GitHub profile One project youre proud of (school, hackathon, or personal) Bonus: A short (2 min) Loom or video walking through your code and how AI helped you build it.

Role & responsibilities Design, develop, and maintain backend services, RESTful APIs for scalable microservices. Write clean, well-documented, and testable code in Python using Flask framework. Build and optimize scalable microservices and data models using relational and NoSQL databases. Collaborate with cross-functional teams including product, design, and frontend engineers to deliver reliable features. Use observability tools (e.g., logs, metrics, traces) to debug and optimize backend performance. Leverage AI-driven development (e.g., Cursor AI, Codex, Copilot, Gemini, Windsurf) for code generation, testing, and debugging. Participate in code reviews and contribute to improving engineering best practices. Frontend Exposure (Nice to Have / Required) Contribute to UI development using JavaScript (React or NextJS) Understand frontend-backend integration, including API consumption and state management Debug issues across the stack (browser to database) What Were Looking For: 3-5 years of backend development experience. Proficiency in Python Strong understanding of Data Structures, Algorithms, and SQL. Basic frontend experience using JavaScript frameworks (e.g., React, NextJS) for building UI components and integrating APIs. Experience with REST APIs, microservices, and database systems like PostgreSQL, MySQL, DynamoDB or MongoDB. Proficiency in AI prompting for code generation, debugging, and automation. Familiarity with one of the AI tools (e.g., Cursor AI, Codex, Copilot, Gemini, Windsurf) Experience with microservices architecture, version control (Git), and CI/CD workflows. Clear communication and ability to work in an agile, collaborative environment. *Immediate joiners required

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of natural language processing techniques.- Experience with cloud AI services like AWS SageMaker or Google AI Platform.- Knowledge of deep learning frameworks such as TensorFlow or PyTorch.- Hands-on experience in developing AI applications.- Familiarity with deploying AI models in production environments. Additional Information:- The candidate should have a minimum of 12 years of experience in Large Language Models.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

We're looking for an experienced AI/ML Technical Lead to architect and drive the development of our intelligent conversation engine. Youll lead model selection, integration, training workflows (RAG/fine-tuning), and scalable deployment of natural language and voice AI components. This is a foundational hire for a technically ambitious platform. Role & responsibilities AI System Architecture: Design the architecture of the AI-powered agent including LLM-based conversation workflows, voice bots, and follow-up orchestration. Model Integration & Prompt Engineering: Leverage APIs from OpenAI, Anthropic, or deploy open models (e.g., LLaMA 3, Mistral). Implement effective prompt strategies and retrieval-augmented generation (RAG) pipelines for contextual responses. Data Pipelines & Knowledge Management: Build secure data pipelines to ingest, embed, and serve tenant-specific knowledge bases (FAQs, scripts, product docs) using vector databases (e.g., Pinecone, Weaviate). Voice & Text Interfaces: Implement and optimize multimodal agents (text + voice) using ASR (e.g., Whisper), TTS (e.g., Polly), and NLP for automated qualification and call handling. Conversational Flow Orchestration: Design dynamic, stateful conversations that can take actions (e.g., book meetings, update CRM records) using tools like LangChain, Temporal, or n8n. Platform Scalability: Ensure models and agent workflows scale across tenants with strong data isolation, caching, and secure API access. Lead a Cross-Functional Team: Collaborate with backend, frontend, and DevOps engineers to ship intelligent, production-ready features. Monitoring & Feedback Loops: Define and monitor conversation analytics (drop-offs, booking rates, escalation triggers), and create pipelines to improve AI quality continuously. Preferred candidate profile Qualifications Must-Haves: 4+ years of experience in ML/AI, with at least 2 years leading conversational AI or LLM projects. Strong background in NLP, dialog systems, or voice AI preferably with production experience. Experience with OpenAI, or open-source LLMs (e.g. LLaMA, Mistral, Falcon) and orchestration tools (LangChain, etc.). Proficiency with Python and ML frameworks (Hugging Face, PyTorch, TensorFlow). Experience deploying RAG pipelines, vector DBs (e.g. Pinecone, Weaviate), and managing LLM-agent logic. Familiarity with voice processing (ASR, TTS, IVR design). Solid understanding of API-based integration and microservices. Deep care for data privacy, multi-tenancy security, and ethical AI practices. Nice-to-Haves: Experience with CRM ecosystems (e.g. Salesforce, HubSpot) and how AI agents sync actions to CRMs. Knowledge of sales pipelines and marketing automation tools. Exposure to calendar integrations (Google Calendar API, Microsoft Graph). Knowledge of Twilio APIs (SMS, Voice, WhatsApp) and channel orchestration logic. Familiarity with Docker, Kubernetes, CI/CD, and scalable cloud infrastructure (AWS/GCP/Azure). What We Offer Founding team role with strong ownership and autonomy Opportunity to shape the future of AI-powered sales Flexible work environment Competitive salary Access to cutting-edge AI tools and training resources Post your resume and any relevant project links (GitHub, blog, portfolio) to career@sourcdeskglobal.com. Include a short note on your most interesting AI project or voicebot/conversational AI experience.

Roles and responsibilities: Understand the Product vision and business needs; and lead the team of experienced developers. Define and manage the product design architecture and roadmap in discussion with the business. Develop Architectural design principles for the products. Your architectural decisions are characterised by non-functional requirements such as availability, flexibility, stability, ease of maintenance and security; combined with economic aspects. You are an expert with development language like Java technologies, application servers as well as databases. You are still an active hands-on contributor in software engineering with the above; expect that we will require you to demonstrate that your skills are current in the interview process. . Have hands-on experience in product development, implementations and Production release management. Have good knowledge on AI on cloud platforms and its application. Ability to develop front end website architecture and back-end website applications using microservices architecture, API design and development. Support business solutions and customer demos, and act as technical face of CloudFX for all customer interactions and thought leadership. Must have technical skills 10-15 Years of development experience Including 5+ years of Micro-service development experience, 5+ years of experience on Product development. Experience especially in areas of OpenSource Technologies, Cloud Based platforms and Web technologies. Strong understanding of algorithms, data structures, and system design. Experience in Java, Spring Framework, Spring Boot 2.0+, etc Experience in Java script technologies/frameworks like Angular, React, node.js. Proficiency in Linux environments and container technologies for build and testing. Good knowledge on Kubernetes and Docker. Experience with cloud technology AWS, Azure or GCP and designing solutions that leverage its unique advantages. Experience in Message Queue and Databases such as MySQL and PostgreSQL Proficiency in scripting - Ruby, Python Good understanding of VMware or other Private cloud architectures Expert in Docker container management such as Kubernetes Deep knowledge on AI platforms Expert on cloud platforms such as AWS or Azure. Basic knowledge of GCP Nice to have: AWS Certified Architect Azure Certified Architect GCP Certified Architect DevOps

Education Qualification: Bachelors degree in computer science or related field or higher with minimum 5 years of relevant experience. We are seeking a Senior AI/ML Developer or Technical Lead with proven expertise in Google Cloud Platform (GCP), Vertex AI, Gemini models. The ideal candidate will have a hands-on approach and deep experience integrating GenAI components into enterprise-grade document automation workflows. Your future duties and responsibilities: Develop and deploy solutions using Vertex AI, Gemini models, Document AI, and custom NLP/OCR components. Contribute to scalable, cloud-native architectures for document ingestion, extraction, summarization, and transformation. Implement prompt-based workflows and LLM-powered solutions for classification, Q&A, and content summarization. Use Vertex AI pipelines and AutoML tools to manage and automate model lifecycle. Collaborate with architects, MLOps engineers, and business stakeholders to translate requirements into scalable code. Ensure secure and compliant handling of sensitive data in document processing workflows. Stay up to date with the latest Gemini/LLM advancements and integrate relevant innovations into projects. Required qualifications to be successful in this role: Must to have Skills- Cloud/AI Platform-Google Cloud Platform (Vertex AI, Cloud Functions, Cloud Run, BigQuery, Document AI, Firestore) GenAI/LLMs-Google Gemini (API), PaLM, LangChain (for RAG), OpenAI (optional fallback) OCR & NLP-Tesseract, GCP Document AI, spaCy, Hugging Face Transformers Full Stack-React or Next.js (frontend), Node.js or FastAPI (backend), Firebase/Firestore DevOps/MLOps-GitHub Actions, Vertex Pipelines, Docker, Terraform (GCP IaC), MLflow Data & Integration-REST APIs, GraphQL, Webhooks, Cloud Pub/Sub, JSON/Protobuf 5+ years of full-stack development experience with significant expertise in: Backend: Python Solid 2+ years hands-on experience building a product/solution leveraging GenAI, NLP, Document Classification, developing Chatbots and OCR development, including hands-on experience with NLP libraries and tools. Solid understanding of Kubernetes concepts and experience managing containerized applications in production environments. Proficiency in relational and non-relational databases, with a strong understanding of database optimization techniques. Problem-Solving: The ability to tackle complex issues and adapt to rapidly evolving AI technologies. Privacy and Compliance Knowledge: Understanding of data privacy regulations, security best practices, and ethical considerations in AI development Experience working with Google Gemini models (Gemini 1.5 Pro/Flash, Gemini API, PaLM 2). Proficient in document parsing, NLP, OCR, and GenAI-based transformation. Strong skills in Python, JavaScript/TypeScript, Flask, FastAPI, Node.js, or Next.js. Knowledge of Firestore, BigQuery, Pub/Sub, Cloud Functions, and security best practices on GCP. Experience in CI/CD, model tracking, and MLOps pipeline development using Vertex Pipelines and MLflow. Strong sense of ownership and accountability, with a focus on delivering production-ready systems. Always ready to work with a startup mentality. Good to have skills- Frontend (Optional): Angular Skills: English Full Stack Development Gemini GitHub Google Cloud Platform Shift Timing: General Shift Location: Bangalore/Hyderabad/Chennai/Pune/Mumbai

Designing, developing, and training machine learning models using various algorithms and techniques. Evaluating the performance of machine learning models using appropriate metrics and techniques. Required Candidate profile Working closely with other engineers, data scientists, and stakeholders to ensure the success of AI/ML projects.

Leads full-funnel digital strategy across Google Ads, email, affiliate, and paid media channels. Expert in bid optimization, analytics, AI tools, CRO, budget planning, campaign execution, cross-functional team coordination, and performance reporting.

Leads full-funnel digital strategy across Google Ads, email, affiliate, and paid media channels. Expert in bid optimization, analytics, AI tools, CRO, budget planning, campaign execution, cross-functional team coordination, and performance reporting.

Leads full-funnel digital strategy across Google Ads, email, affiliate, and paid media channels. Expert in bid optimization, analytics, AI tools, CRO, budget planning, campaign execution, cross-functional team coordination, and performance reporting.

Roles and Responsibilities : Design, develop, test, deploy and maintain scalable backend systems using Spring Boot. Collaborate with cross-functional teams to identify requirements and implement solutions that meet business needs. Ensure high availability, scalability, security and performance of the system by implementing best practices in coding standards. Troubleshoot issues related to data processing pipelines using tools like Kafka. Job Requirements : 4-6 years of experience in Java development with expertise in Spring Boot. Strong understanding of data structures and algorithms for efficient problem solving. Experience working on large-scale projects involving complex distributed systems (DSA). Proficiency in AWS cloud computing platform.

Lead AI/ML tech projects using Agile/Scrum. Design, deploy & optimize ML models (NLP, predictive analytics). Drive AI automation & data-driven decisions. Cross-functional leadership.

Location: Remote Experience: 2+ to 7 Years Job Description: We are looking for a Generative AI Engineer to join our growing team. The ideal candidate should have hands-on experience working with LLMs, RAG pipelines, NLP, and AI model deployment. This role offers a great opportunity to work on cutting-edge AI solutions and build real-world applications under the guidance of a senior team. Responsibilities: Collaborate with product and engineering teams to understand AI use cases and deliver solutions using Generative AI and LLMs (GPT, Claude, LLaMA, Mistral). Deploy and monitor models using cloud services such as AWS or Azure. Work with DevOps and backend teams to ensure smooth integration and performance tuning. Design, build, and fine-tune AI models for use in NLP tasks, chatbots, and content generation systems. Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for scalable performance. Stay current with the latest trends in AI research, LLM development, and open-source AI tooling. Support data preprocessing, prompt engineering, and experimentation with large language models. Required skillset: 2 to 4 years of experience in AI/ML development or research. Strong proficiency in Python and libraries such as Transformers, LangChain, Hugging Face, etc. Good understanding of LLMs, their capabilities, limitations, and use in production. Exposure to cloud services (AWS, Azure, or GCP) for deploying and managing AI workloads. Solid understanding of NLP concepts like embeddings, tokenization, summarization, etc. Familiarity with API integration and model deployment using tools like Docker/FastAPI. Analytical mindset, with good communication and problem-solving skills. Ability to work in an agile, fast-paced team environment. Good to have: Experience building or deploying RAG pipelines and using vector databases (e.g., FAISS, Pinecone, Weaviate). Knowledge of MLOps, model monitoring, and lifecycle management. Exposure to CI/CD workflows and version control tools (e.g., Git, GitHub Actions). Previous contributions to open-source AI projects or participation in AI hackathons. Awareness of AI ethics, privacy, and responsible AI practices.

Job Description: We are seeking an experienced and technically proficient professional to work on the Uniphore platform, with a primary focus on Agent Assist solutions. The ideal candidate will possess a strong understanding of the Uniphore stack, including its AI-driven speech analytics, real-time assistance, and automation capabilities. Key Responsibilities: Product Understanding: Develop a comprehensive understanding of the Uniphore Agent Assist product, its features, capabilities, and integration points. Solution Design: Define and document the technical architecture required for deploying Agent Assist solutions. Chart out the high-level and detailed layout of the system, including front-end, back-end, data flows, APIs, and integrations. Create solution design documents that encompass scalability, security, and performance considerations. Architecture Definition: Design scalable, reliable, and secure architecture models aligned with client requirements. Identify and recommend the appropriate technology stack, tools, and services within or outside the Uniphore ecosystem. Implementation Planning: Collaborate with development teams to ensure designs align with technical capabilities and product standards. Stakeholder Communication: Effectively communicate technical solutions to cross-functional teams, including Product Management, Development, and Customer Support. Quality and Compliance: Ensure solutions adhere to best practices, compliance standards, and optimize for user experience. Continuous Improvement: Stay updated with Uniphore product updates, emerging AI/automation trends, and incorporate best practices into solution planning. Qualifications: Proven experience working with Uniphore platform or similar conversational AI and Agent Assist solutions. Strong understanding of speech analytics, natural language processing, and AI technologies. Experience in designing end-to-end solution architectures, including diagramming and documentation. Knowledge of cloud architecture (AWS, Azure, Google Cloud) is a plus. Excellent communication and stakeholder management skills. Ability to translate business requirements into technical solutions. Preferred Skills: Background in contact center solutions or customer service automation. Experience with APIs, integrations, and microservices architecture. Knowledge of data security standards and compliance regulations.

About this role: We are looking for a detail-oriented and technically proficient AI/ML Cloud Platform Administrator to manage, monitor, and secure our cloud-based platforms supporting machine learning and data science workloads. This role requires deep familiarity with both AWS and Azure cloud services, and strong experience in platform configuration, resource provisioning, access management, and operational automation. You will work closely with data scientists, MLOps engineers, and cloud security teams to ensure high availability, compliance, and performance of our AI/ML platforms. Key Responsibilities include: Provision, configure, and maintain ML infrastructure on AWS (e.g., SageMaker, Bedrock, EKS, EC2, S3) and Azure (e.g., Azure Foundry, Azure ML, AKS, ADF, Blob Storage) Manage cloud resources (VMs, containers, networking, storage) to support distributed ML workflows Deploy and Manage the open source orchestration ML Frameworks such as LangChain and LangGraph Implement RBAC, IAM policies, Azure AD, and Key Vault configurations to manage secure access. Monitor security events, handle vulnerabilities, and ensure data encryption and compliance (e.g., ISO, HIPAA, GDPR) Monitor and optimize performance of ML services, containers, and jobs Set up observability stacks using Fiddler , CloudWatch, Azure Monitor, Grafana, Prometheus, or ELK . Manage and troubleshoot issues related to container orchestration (Docker, Kubernetes EKS/AKS) Use Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Bicep to automate environment provisioning Collaborate with MLOps teams to automate deployment pipelines and model operationalization Implement lifecycle policies, quotas, and data backups for storage optimization Required Qualification: Bachelor's/Masters in Computer Science, Engineering, or related discipline 7 years in cloud administration, with 2+ years supporting AI/ML or data platforms Proven hands-on experience with both AWS or Azure Proficient in Terraform, Docker, Kubernetes (AKS/EKS), Git, Python or Bash scripting Security Practices: IAM, RBAC, encryption standards, VPC/network setup

Understanding of Business Processes. Customer centric /ROI Value based solutions and sales themes . Good understanding of various technologies used in industries & digital innovation that bring value to business. Superior presentation skills.

Job Overview: We are looking for an experienced AI Architect to lead solution design and development efforts in the areas of Agentic AI and Retrieval-Augmented Generation (RAG) . The ideal candidate will have strong experience working with large language models (LLMs), building intelligent applications using frameworks like LangChain or LlamaIndex, and designing scalable AI pipelines. Key Responsibilities: Design and implement RAG-based systems combining LLMs with vector databases and internal document sources. Build task-based AI agents (e.g., chatbots, assistants) that can perform multi-step operations and integrate with external tools or APIs. Develop and maintain prompt templates , embedding pipelines, and orchestrators using frameworks like LangChain, LlamaIndex , etc. Work with data and ML teams to connect AI applications with enterprise knowledge sources (SharePoint, Confluence, databases, etc.). Evaluate and integrate embedding models , vector databases (FAISS, Pinecone, Chroma), and LLM APIs (OpenAI, Azure OpenAI, etc.). Collaborate with cross-functional teams to identify use cases, define architecture, and deliver PoCs or MVPs. Contribute to CoE documentation, reusable components, and architecture patterns for RAG and agent-based solutions. Required Skills: 35 years of hands-on experience in Python with exposure to building AI/NLP applications. Practical experience with LLM tools like LangChain, LlamaIndex , or equivalent. Experience building RAG systems using vector stores and document loaders. Familiarity with LLM APIs such as OpenAI, Cohere, or HuggingFace models. Understanding of prompt design , embedding models (e.g., OpenAI, BGE, SentenceTransformers). Working knowledge of REST APIs , JSON , and integrating AI agents with backend systems.

Job Title: AI Expert / Artificial Intelligence Specialist Location: Bangalore Experience Required: Minimum 3 Years Employment Type: Full-time Industry: IT Services & Consulting / AI & ML Job Summary: We are looking for a highly skilled and motivated AI Expert to join our technology team. The ideal candidate will have hands-on experience in developing, deploying, and scaling AI/ML models and working with large datasets to solve real-world business problems. Key Responsibilities: Design, develop, and deploy AI/ML models for business use cases. Work on NLP, computer vision, and predictive analytics projects. Collaborate with cross-functional teams including Data Engineers, Product Managers, and Software Developers. Implement machine learning algorithms and deep learning frameworks. Analyze large datasets to extract meaningful insights. Optimize model performance and conduct A/B testing. Stay updated with the latest AI trends, tools, and research. Required Skills: Strong understanding of machine learning algorithms, neural networks, and deep learning. Hands-on experience with Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with NLP, computer vision, or recommendation systems is a plus. Solid knowledge of data structures, algorithms, and statistics. Familiarity with cloud platforms like AWS, Azure, or GCP. Experience with AI model deployment and MLOps tools is a plus. Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. - 4 Month Probation Period

About the Role We are looking for a highly skilled Python Full Stack Engineer with strong expertise in developing end-to-end web applications. The ideal candidate will be experienced in building scalable, high-performance applications using Python (FastAPI or Flask + RESTful API) for the backend and React.js + TypeScript for the frontend. This role focuses exclusively on core application/web development (small or large scale) and does not involve dashboard development, business intelligence, DevOps, data applications, or AI-related projects. Key Responsibilities Design, develop, and maintain full-stack web applications. Build and consume RESTful APIs using Python (FastAPI or Flask). Implement responsive and user-friendly interfaces using React.js and TypeScript. Integrate frontend and backend components for seamless functionality. Deploy and maintain applications on AWS, Azure, or GCP. Optimize application performance, security, and scalability. Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions. Required Skills & Experience Strong proficiency in Python for backend development. Experience with FastAPI or Flask and RESTful API design. Proficiency in React.js and TypeScript for frontend development. Hands-on experience with any major cloud platform (AWS, Azure, or GCP). Proven track record in web application development (small or large scale). Solid understanding of software architecture, security best practices, and deployment pipelines. Strong problem-solving and debugging skills. Nice-to-Have Skills Experience with relational or NoSQL databases. Familiarity with CI/CD workflows. Knowledge of containerization (Docker) and orchestration (Kubernetes) is a plus, but not required. What We Dont Need This role is not for candidates whose experience is primarily in: Dashboard / BI tools Data analytics / Data engineering AI/ML applications DevOps-only roles