167 Ai Platform Jobs - Page 2

Role: Artificial Intelligence Engineer Location Bangalore (Ashok Nagar) Experience : 3 to 5 years Education : Bachelor's/Masters Degree in Technology. Salary : Negotiable Job Type : Full Time (On Role) Mode of Work : Work from Office Job Description We are looking for an experienced AI Engineer to join our team and develop advanced AI solutions. The role involves designing, training, and deploying machine learning models to address complex business challenges. Proficiency in Python, TensorFlow, and experience working with large datasets are critical for success. Preferred Skills: Proficiency in Python and NLP libraries such as OpenAIs GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning techniques Retrieval-Augmented Generation (RAG) for improving AI response Experience in API development and hosting (IIS preferred) Basic understanding of SQL Expertise in training, tuning, deploying, and leveraging models with SQL databases Technical Skills: Proficiency in programming languages such as Python, R, or Java Ability to integrate AI models into existing systems and applications Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering) Experience with deep learning frameworks such as TensorFlow and PyTorch Expertise in data manipulation and cleaning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

Job Title: AI Engineer Required Experience :-2 to 5 years Key Responsibilities: Architect, develop, and deploy advanced AI solutions, encompassing Machine Learning, Generative AI, NLP, and LLMs. Remain abreast of the latest AI advancements, actively researching and integrating emerging trends and technologies such as LLMOps, Large Model Deployments, LLM Security, Vector Databases, etc. Streamline data modeling processes to automate tasks, enhance data preparation, and facilitate data exploration to optimize business outcomes. Collaborate closely with cross-functional teams, including business units, accounts teams, researchers, and engineers, to translate business requirements into actionable AI solutions. Exhibit expertise in responsible AI practices, ensuring fairness, transparency, and interpretability in all models. Identify and mitigate potential risks related to AI and LLM development and deployment, emphasizing data trust and security. Contribute to the professional development of the AI team by mentoring engineers, fostering knowledge sharing, and promoting a culture of continuous learning. • This role is based in an AI lab environment and involves hands-on, fast-paced, and high-intensity work. The ideal candidate should be proactive, adaptable, and comfortable working in a dynamic environment. Qualifications: Minimum of 2 years of hands-on experience in developing and deploying AI solutions, with a proven track record of success. Masters degree in Computer Science, Artificial Intelligence, or a related field (or equivalent experience). Proficiency in Machine Learning, NLP, Generative AI, and LLMs, including their architecture, algorithms, and training methodologies. Understanding of LLMOps principles, Prompt Engineering, In-Context Training, LangChain, and Reinforcement Learning. Familiarity with best practices for large model deployment, monitoring, management, and scalability. Experience with Azure Cloud services. Strong communication, collaboration, and problem-solving abilities. Commitment to ethical AI practices and security standards. Proficiency in deep learning frameworks and languages such as Azure ML platform, Python, PyTorch, etc. Hands-on experience with ML frameworks, libraries, and third-party ML models. Expertise in building solutions using AI/ML/DL open-source tools and libraries. Strong analytical and problem-solving skills. Ability to write optimized and clear code and address complex technical challenges effectively. Self-motivated and afast learner, with a proactive approach to learning new technologies. Proficiency in data analysis and troubleshooting skills. Experience in building AI/ML/DL solutions for NLP/text applications, with familiarity in reinforcement learning being advantageous. Minimum of 2 years of experience on AI/ML/DL projects, with specialization or certification in Artificial Intelligence being a plus. Good knowledge of Azure AI/Cognitive Services tools.

Experience in making ppt using MS,Powerpoint and AI powered tools like Canva Drive welfare activity and strengthen Gm Empower workers by providing trainings on various social & labour practices,environmental, CTPAT ,brand requirements time to time.

Job Title:Data ScientistExperience6-9 YearsLocation:Remote : Your Mission: Lead groundbreaking projects that leverage AI and machine learning techniques to optimize operations and drive business success. Take ownership of the entire lifecycle from model design, training, productionization, and incremental enhancement. Foster a culture of experimentation by designing and scaling rigorous A/B tests when needed to measure business impact. Educate internal analytics teams on current and emerging research, technologies, and best practices for leveraging ML and LLM in product design and development. Collaborate with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering. Establish best practices in data science and mentor future team members to maintain high standards in data governance and insight generation. Communicate effectively with stakeholders across various technical levels, articulating insights and recommendations about your solutions. Cultivate trust with stakeholders by consistently addressing their true fundamental needs and challenges. A Little More About You: 6+ years of data science, machine learning/statistical modeling experience. Experience implementing theoretical models in an applied environment. M.S. or Ph.D. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field. Strong interest in delivering data-driven solutions using ML and AI. Proficiency in data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software. Solid understanding of statistics, machine learning, operations research, and causal inference. Knowledge of NLP or Bayesian testing is a plus. Insatiable curiosity and bias toward action.

Bandi Informatics is seeking a highly skilled and motivated AI Specialist to join our growing team in Chennai. This role will primarily focus on developing and implementing Artificial Intelligence solutions for our USA healthcare clients. The ideal candidate will possess a strong understanding of AI/ML principles, experience with healthcare data, and the ability to work effectively during US business hours. Key Responsibilities: AI/ML Model Development: Design, develop, train, and deploy AI and Machine Learning models tailored for various healthcare applications, including but not limited to: Medical imaging analysis (e.g., disease detection, segmentation) Natural Language Processing (NLP) for clinical text analysis (e.g., electronic health records, patient notes, medical reports) Predictive analytics for patient outcomes, disease progression, or resource optimization. Automation of healthcare administrative processes (e.g., medical billing, transcription quality assurance). Data Preprocessing and Feature Engineering: Work with large, complex, and often unstructured healthcare datasets. This includes data cleaning, transformation, normalization, and creating relevant features for model training. Model Evaluation and Optimization: Evaluate the performance of AI/ML models using appropriate metrics, perform hyperparameter tuning, and implement strategies for continuous model improvement. Algorithm Selection and Customization: Research and select appropriate AI/ML algorithms (e.g., deep learning, supervised learning, unsupervised learning) based on specific problem statements and data characteristics. Customize and adapt algorithms as needed for optimal performance in healthcare contexts. Collaboration with Domain Experts: Work closely with healthcare professionals, data scientists, and software developers to understand requirements, translate business problems into AI solutions, and integrate AI models into existing systems. Staying Updated: Keep abreast of the latest advancements in AI/ML, particularly in the healthcare domain, and evaluate their potential application to Bandi Informatics' projects. Documentation and Reporting: Document model architectures, methodologies, results, and insights clearly and concisely. Prepare reports and presentations for both technical and non-technical stakeholders. Compliance and Ethics: Ensure all AI development adheres to healthcare data privacy regulations (e.g., HIPAA) and ethical AI principles. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Biomedical Engineering, or a related quantitative field. Proven experience (X years, specific number negotiable based on seniority) in developing and deploying AI/ML solutions, with a strong portfolio of projects. Solid understanding of machine learning algorithms (e.g., regression, classification, clustering, ensemble methods) and deep learning frameworks (e.g., TensorFlow, PyTorch, Keras). Proficiency in programming languages such as Python (with libraries like scikit-learn, NumPy, Pandas) and experience with data visualization tools. Experience working with healthcare data, including knowledge of medical terminologies (e.g., ICD, CPT) and healthcare data standards. Strong analytical and problem-solving skills with the ability to work independently and collaboratively. Excellent communication and interpersonal skills to effectively collaborate with cross-functional teams and present complex technical information. Ability to work the specified shift timings (6:00 PM to 2:30 AM IST) to overlap with USA healthcare business hours. Preferred Skills (Nice to Have): Experience with cloud platforms (AWS, Azure, GCP) for deploying and managing AI/ML models. Familiarity with MLOps practices for model deployment, monitoring, and maintenance. Knowledge of medical imaging modalities (e.g., X-ray, MRI, CT) and relevant image processing techniques. Prior experience in a BPO or ITES environment serving international clients.

Hiring Full Stack Engineer (Node.js + React) with 26 yrs exp. Hands-on with APIs, frontend, cloud deployment, and 3rd-party integrations (Twilio, WhatsApp). Bonus: AI/LLM experience. Remote. Email [your email] to apply.

Job Title: Java Microservices Developer with AI Experience Experience: 5+ years Location: Gurgaon, India Job Type: Full-time | On-site Job Summary: We are looking for an experienced and innovative Java Microservices Developer with exposure to AI/ML technologies to join our growing engineering team. The ideal candidate will design and develop scalable microservices while integrating intelligent automation and AI features into modern enterprise applications. Key Responsibilities: Design, develop, and deploy scalable Java-based microservices architecture Integrate AI/ML models or services (e.g., NLP, recommendation systems, computer vision) into backend systems Collaborate with AI/ML teams to productionize models via REST APIs or cloud-based AI platforms Write clean, testable, and efficient code using best practices in microservices architecture Work with Docker, Kubernetes, and CI/CD pipelines to ensure smooth deployment Optimize system performance, scalability, and security Participate in design discussions, code reviews, and agile development processes Required Skills and Experience: 5+ years of hands-on experience in Java (Spring Boot) and microservices architecture Strong understanding of RESTful API design and system integration Experience with containerization tools like Docker and orchestration using Kubernetes Working knowledge or integration experience with AI/ML tools or libraries (e.g., Python ML models, TensorFlow, OpenAI APIs, Hugging Face, etc.) Familiarity with data pipelines and cloud platforms (AWS, GCP, or Azure) Experience with SQL/NoSQL databases like MySQL, PostgreSQL, MongoDB, etc. Understanding of messaging systems (Kafka, RabbitMQ) is a plus Preferred Qualifications: Exposure to AI services (e.g., AWS SageMaker, Google Vertex AI, Azure ML) Basic understanding of machine learning concepts, model serving, or inference at scale Experience working in agile teams with tools like Jira, Git, Jenkins, etc.

Responsibilities: * Assist with AI platform development and implementation. * Collaborate on AI solution design and delivery. * Contribute to emerging tech research and adoption. * Stay updated on AI trends and best practices.

We are looking for a passionate and innovative Creative Executive to join our growing team in Gurugram. The ideal candidate will have a solid background in advertising, branding, graphic design, packaging, and artwork creation. Corel draw, photoshop Required Candidate profile You must have hands-on experience with CorelDRAW and Adobe Photoshop, and a clear understanding of emerging AI tools used in the creative industry. branding, packaging, campaigns & artwork is a must.

Job Title: Sales Manager - AI Products & Teacher Training Location: Gurgaon About Eduxa : Eduxa Consulting empowers educators and schools to seamlessly adopt AI tools and products for enhanced classroom learning. We are on a mission to bridge the gap between technological curiosity and practical adoption in schools across India. We provide schools with AI products, teacher training programs, and ongoing support to transform the education experience. Role Overview: We are seeking a dynamic and experienced Sales Manager to lead our efforts in closing sales with schools across India. You will be responsible for selling our AI products and teacher training programs, playing a key role in expanding our market presence and ensuring the successful adoption of our offerings in schools. Your deep understanding of the education sector, combined with your strong sales expertise, will help drive Eduxa's mission forward. Key Responsibilities: Sales Target Achievement: Responsible for meeting and exceeding sales targets related to AI products and teacher training programs. Lead Generation and Management: Identify and generate leads through research, networking, and partnerships within the education sector. Manage and nurture these leads through the sales funnel to closure. Consultative Sales Approach: Understand the unique needs of schools and educational institutions, providing tailored solutions through AI products and teacher training programs. Client Relationship Management: Build strong, long-lasting relationships with school leadership teams and key stakeholders. Act as a trusted advisor to schools as they adopt AI solutions. Sales Presentations and Demos: Conduct product presentations and demonstrations, highlighting the benefits of AI adoption and the impact on teaching and learning outcomes. Negotiation and Deal Closure: Handle negotiations, contracts, and finalizing deals. Work closely with internal teams to ensure smooth onboarding for schools post-sale. Market Research: Stay informed about trends in the education sector, emerging technologies, and the competitive landscape to adjust sales strategies accordingly. Collaboration: Work closely with the customer success, training, and product teams to ensure smooth implementation of products post-sale and gather feedback for continuous improvement. Reporting and Forecasting: Maintain accurate sales records, forecast potential sales, and provide regular updates to leadership. Required Skills & Qualifications: 6-9 years of experience in B2B sales, with a proven track record of selling to schools, educational institutions, or the education sector. Strong understanding of AI products, edtech solutions, and teacher training programs. Ability to present complex technological products in an accessible and compelling manner. Excellent negotiation, communication, and interpersonal skills. Self-driven with a demonstrated ability to meet or exceed sales targets. Strong organizational and time management skills, with the ability to manage multiple accounts and sales processes simultaneously. Knowledge of the education landscape in India and familiarity with the challenges schools face in adopting new technologies. Preferred Background: Previous experience selling AI-powered products or education technology solutions. Established network and relationships with schools, educational leaders, and decision-makers across India. Experience with CRM tools, sales tracking software, and data-driven sales strategies.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Design, develop, and implement conversational AI solutions using the Kore.ai platform, including chatbots, virtual assistants, and automated workflows tailored to business requirements. Customize, configure, and optimize the Kore.ai platform to address specific business needs, focusing on user interface (UI) design, dialogue flows, and task automation. Collaborate with cross-functional teams to understand business objectives and translate them into scalable AI solutions. Continuously monitor and enhance bot performance by staying updated on the latest Kore.ai features, AI advancements, and machine learning trends. Primary Skills 1+ years of experience in software development, with at least 1+ years of hands-on experience working with the Kore.ai platform. Proven expertise in developing chatbots and virtual assistants using Kore.ai tools. Proficiency in programming languages such as JavaScript or other scripting languages. Experience with API integrations, including RESTful APIs and third-party services. Strong understanding of dialogue flow design, intent recognition, and context management. Secondary Skills Kore.ai platform certification is a strong advantage. Knowledge of automation tools and RPA technologies is beneficial. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

4–6 years of experience in product marketing, content creation, or related roles, with at least 2 years focused on AI or technology products, proficiency in SEO, digital marketing, and content management systems

Role & responsibilities Developing AI/ML algorithms to analyze data and to make predictions and recommendations. Implement and optimize deep learning models for generative tasks Collaborate with other engineers to integrate Generative AI models for custom applications. Should be able evaluate the application cases and problem-solving potential of AI/ML algorithms. Should be able to comprehend data through exploration and visualization, spot discrepancies in data distribution Should be able to work on structured as well as unstructured data Should be able to develop various algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions Should be able to leverage cloud platforms for training and deploying models. Should have working knowledge of managing ModelOps framework Should understand CI/CD processes in product deployment and used it in delivery. Should be able to collaborate with data engineers to build data and model pipelines and maintain accuracy Should be able to take complete ownership of the assigned project Preferred candidate profile Understanding of AI/ML frameworks, LLM libraries, data structures, data modelling, and software architecture. Proficiency with a deep learning framework such as Tensor Flow, Keras, NLP and text analytics and ML algorithms like clustering, regression, classification etc Proficiency with Python and basic libraries for machine learning su,ch as scikit-learn, pandas Experience working with recommendation engines, data pipelines and distributed machine learning Ability to select hardware to run an ML model with the required latency Great communication and collaboration skills. AI response performance enhancement. We are only for highly senior/expert AI engineers who have experience with fine tuning answers. Our current tech stack is based on several areas: - RAG (reranking RAG along with hybrid search, both lexical and semantic) - Knowledge graph (neo4j) - Produce a ranking system based on responses and place weights on AI chatbot responses. As we onboard customers, we will need to optimize all of these areas for better responses in their system.

Roles and Responsibilities Design, develop, and maintain large-scale data pipelines using GENAI platform on AWS cloud. Collaborate with cross-functional teams to gather requirements and deliver high-quality ETL solutions. Develop complex SQL queries to extract insights from structured and unstructured data sources. Ensure seamless integration of AI models into existing systems through effective communication with stakeholders. Troubleshoot issues related to data quality, performance, and scalability in real-time. Desired Candidate Profile 5-10 years of experience in Data Engineering with expertise in AI knowledge (preferably). Bachelor's degree in BCA or B.Sc (Any Specialization) required; Master's degree preferred. Strong proficiency in working with ETL tools such as GENAI platform on AWS cloud. Excellent understanding of SQL programming language for querying large datasets.

Radiologist The Medical Imaging Technology team of Siemens Healthcare Technology Center has an immediate opening in Princeton, NJ for an experienced Chest Radiologist to join our multidisciplinary team focused on advancing AI-based solutions in medical imaging. The ideal candidate will bring clinical expertise in thoracic imaging and play a pivotal role in the development, validation, and deployment of AI-driven diagnostic tools. This is an exciting opportunity to work at the intersection of clinical radiology and cutting-edge technology, contributing to the future of AI in healthcare. What are my responsibilities Collaborate with data scientists, AI engineers, and clinical teams to develop algorithms for automated detection, diagnosis, and quantification of thoracic diseases (e.g., lung cancer, pneumonia, interstitial lung disease) in medical imaging. Lead the clinical validation efforts for AI models by evaluating algorithm performance, ensuring diagnostic accuracy, and comparing AI outputs against radiologist interpretation. Provide expert annotations and guidance on chest imaging datasets to improve AI model training. Ensure the quality and consistency of labeled datasets used in AI development. Work with AI developers to refine algorithms, providing clinical feedback on areas for improvement and offering suggestions to enhance diagnostic performance. Assist in integrating AI solutions into radiology workflows, ensuring tools are user-friendly, efficient, and improve clinical outcomes. What do I need to qualify for this job Education Doctor of Medicine (MD) degree with board certification in Diagnostic Radiology. Fellowship training in Chest or Thoracic Imaging is required. Experience Minimum of 5 years of experience in chest imaging, with a strong background in diagnosing pulmonary and thoracic conditions. Experience in AI development, clinical research, or advanced imaging techniques is highly desirable. Technical Skills Familiarity with AI applications in medical imaging, including automated segmentation, classification, and detection algorithms. Experience with AI platforms, machine learning models, and medical imaging software is a plus. Communication Skills Excellent communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.

- MERN Stack development skill expertise and experience - Degree in Mechanical or Production Eng. - AWS/Azure Cloud based development expertise critical - Cloud Native Application Skills needed - Knowledge of mobile apps development(Android & iOS) Required Candidate profile - Knowledge of AI & ML - Good analytical skills to understand the Manufacturing problem statement and convert it into Software Design. - Good communication skills

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high availability and minimal downtime. Stay ahead of AI and cloud trends, collaborating with cloud architects to leverage cutting-edge technologies Qualifications 4+ years of experience in cloud-native ML engineering, deploying and maintaining AI models at scale. Hands-on experience with AI cloud platforms (Azure ML, Google AI Platform, AWS SageMaker) and cloud-native services. Strong programming skills in Python and SQL, with expertise in cloud-native tools like Kubernetes and Docker. Experience building automated ML pipelines, including data preprocessing, model deployment, and monitoring. Proficiency in Linux environments and cloud infrastructure management. Experience operationalizing GenAI applications or AI assistants is a plus. Strong problem-solving, organizational, and communication skills. Location: ,Indore,Pune

Responsibilities Design, develop, and deploy end-to-end machine learning pipelines in cloud-native environments, ensuring scalability and reliability. Collaborate with data scientists to productionalize ML models, transitioning from prototype to enterprise-ready solutions. Optimize cloud-based data architectures and ML systems for high performance and cost efficiency (AWS, Azure, GCP). Integrate ML models into existing and new system architectures, designing robust APIs for seamless model consumption. Implement MLOps and LLMOps best practices, including CI/CD for ML models, monitoring, and automated retraining workflows. Continuously assess and improve ML system performance, ensuring high availability and minimal downtime. Stay ahead of AI and cloud trends, collaborating with cloud architects to leverage cutting-edge technologies Qualifications 4+ years of experience in cloud-native ML engineering, deploying and maintaining AI models at scale. Hands-on experience with AI cloud platforms (Azure ML, Google AI Platform, AWS SageMaker) and cloud-native services. Strong programming skills in Python and SQL, with expertise in cloud-native tools like Kubernetes and Docker. Experience building automated ML pipelines, including data preprocessing, model deployment, and monitoring. Proficiency in Linux environments and cloud infrastructure management. Experience operationalizing GenAI applications or AI assistants is a plus. Strong problem-solving, organizational, and communication skills. Location: ,Indore,Pune

1 Should have knowledge of Video Creation while using AI Tools 2 depth understanding of latest AI tools with regards to video editing / creation 3 Should be enthusiastic and egar to learn new things. Job Location: Santacruz

We are looking for a talented Sr. Backend Python Developer to strengthen the Generative AI engineering team. You will focus on developing secure, scalable, and efficient services for the AI platform. You'll contribute to building APIs, vector database integration, and LLM orchestration pipelines that drive real-time document understanding and AI-driven insights. Responsibilities Design, develop, and optimize RESTful and streaming APIs using FastAPI and Python. Architect scalable and modular microservices, integrating with vector databases such as Azure AI Search, AstraDB, or FAISS. Implement Retrieval-Augmented Generation (RAG) pipelines and intelligent document ingestion workflows. Build backend services supporting AI chatbot functionality, including prompt orchestration, real-time LLM responses, and streamed chat experiences. Manage user access control, chat history, token usage tracking, and metadata services for documents. Apply software engineering best practices including Design Patterns (e.g., Singleton, Factory) and clean architecture principles. Leverage SQLAlchemy ORM for database modeling and asynchronous I/O for scalable performance. Ensure secure coding practices, observability, and robust error handling. Work on API Gateway design and implementation for managing authentication, rate limiting, and routing. Deploy and manage services using Docker, Kubernetes, and cloud infrastructure on Azure or equivalent (AWS/GCP). Integrate and operationalize Azure AI Services (e.g., OpenAI, Azure Search, Cognitive Services) or comparable cloud-based AI tools. Qualifications 5+ years (5 min to 8 max years)of experience in Python backend development, with a strong understanding of asynchronous programming. Expertise in FastAPI, SQLAlchemy, Pydantic, and scalable backend architecture. Hands-on experience with chatbot development and integrating LLMs (e.g., GPT, Claude, Gemini) into backend systems. Familiarity with LLM orchestration frameworks such as LangChain, OpenAI SDK, or LlamaIndex. Strong knowledge of RAG architecture and real-time document-query pipelines. Experience with API Gateway management and building secure, multi-tenant backend platforms. Proficiency in SQL/NoSQL databases such as Postgre SQL,MYSQL or CosmosDB. Experience integrating Azure AI Services, or equivalents from AWS or Google Cloud. Understanding of role-based access control and secure authentication using JWT/OAuth2. Familiarity with containerization (Docker), CI/CD workflows, and monitoring/logging tools. Hands on with frontend technologies such as Next.js, React.js, TypeScript, and Tailwind CSS to enable better cross-functional collaboration. Understanding of frontend-backend integration, chat UI streaming, and WebSockets/SSE mechanisms. Exposure to document processing, chat memory management, and multi- agent prompt routing. Contributions to open-source Generative AI tools, AI agents, or internal LLM platforms. Experience working in Agile teams, writing unit/integration tests, and participating in code reviews.

Digital Marketing Intern We are looking for enthusiastic Digital Marketing Interns to assist in various digital marketing areas, including strategy development, campaign execution, and performance tracking across multiple platforms. Requirements : A genuine passion for Digital Marketing and a willingness to learn and grow. Completed at least 3 months of a Digital Marketing course (longer preferred). Strong knowledge in most areas of Digital Marketing, including Email Marketing, Paid Ads, Web Design, and Social Media Marketing. Familiarity with AI tools like ChatGPT, Google Gemini and others. Excellent written and verbal communication in English is essential. Basic verbal communication in Hindi is a plus for team collaboration. Note : This role is perfect for those who want to be an all-rounder and gain hands-on experience in multiple areas of Digital Marketing. Take the next step in your digital marketing career with us!

Job Title: Cloud & Platform Engineer AI Agent & Platform Deployment (GCP Preferred) Location: Remote / Hybrid (India preferred) About the Role: We are building an enterprise-ready AI agent and AI framework. This role is central to the success of the platform — you'll lead the design, deployment, and scaling of cloud-native infrastructure, enabling smooth operation of the agent across GCP and other cloud providers. You’ll work closely with AI engineers, product managers, and QA leaders to operationalize an LLM-based stack integrated with enterprise tools like Jira, Zephyr, and Selenium. Key Responsibilities: Design and deploy secure microservice-based architecture (Docker, Kubernetes, API Gateway) Build and manage CI/CD pipelines across cloud environments (GCP, AWS, Azure) Orchestrate cloud-native LLM endpoints (e.g., OpenAI, Claude, PaLM) Integrate external APIs securely (OAuth2 flows with Jira, TestRail, etc.) Manage vector DBs (Pinecone, FAISS, or Weaviate) and inference caching (Redis/in-memory) Set up observability: logging, alerting, audit trails (Cloud Logging, Prometheus, etc.) Implement TLS, JWT auth, secret management (Vault, Secret Manager) Optimize cost and scalability across multi-agent workflows Required Skills: 3–6 years in cloud infrastructure engineering or DevOps Proven experience with: Google Cloud Platform (GCP) Kubernetes & Docker API gateways (NGINX/Istio/Kong) Familiarity with modern LLM stacks (LangChain, Haystack, OpenAI APIs) Strong understanding of OAuth2, JWT, HTTPS/TLS, role-based access GitOps-style CI/CD (Cloud Build, GitHub Actions, ArgoCD) Nice to Have: Knowledge of LLMOps or MLOps principles Prior experience with test automation tools (Selenium, Playwright) Background in working with QA or developer productivity tools Contributions to open-source infra tools or AI orchestration frameworks Why Join Us? Be a founding infra engineer on an enterprise AI platform Work on the intersection of cloud, AI agents, and enterprise automation Fast-paced execution, ownership from day one, and cross-functional collaboration

• Proven experience as a Ruby on Rails Developer with a strong portfolio of successful projects. • In-depth knowledge of Bundler, Active Record, Sidekiq, Redis, memcached. • Experience in implementing AI models - 1+ yrs

Role & responsibilities This role requires a seasoned technical leader who has evolved from a hands-on developer to a manager, and who embraces AI as a fundamental accelerator of the software development lifecycle. The manager will lead a team of full-stack engineers, setting technical direction and ensuring high-velocity execution by leveraging the latest AI tools and agentic workflows. Key responsibilities include: Champion an AI-First Development Culture: Lead the adoption, integration, and optimization of AI-driven coding tools (e.g., Claude Code and emerging autonomous agents) across the engineering team. Continuously evaluate and implement new AI tools to maximize productivity. Architectural Leadership & Problem Solving: Define the technical approach for complex projects spanning both frontend and backend systems. Provide architectural oversight and guidance to ensure solutions are scalable, maintainable, and efficient. Hands-On Technical Deep Dive: Act as the primary technical escalation point. If the team is blocked, you must be capable of diving into the codebase, debugging complex issues, and developing solutionseither directly or by effectively leveraging AI assistants for rapid prototyping and troubleshooting. Team Management and Mentorship: Manage and mentor a team of software engineers. Foster a culture of continuous learning, specifically guiding the team on effective prompt engineering and maximizing the utility of AI tools. Project Execution and Delivery: Oversee the end-to-end development lifecycle. Ensure timely delivery of high-quality software by optimizing workflows and removing bottlenecks. Cross-Functional Collaboration: Work closely with Product Managers and stakeholders to translate business requirements into technical execution plans. Preferred candidate profile Functional competencies (Must have skill): Strong Coding Foundations: High proficiency in at least one major backend language (e.g., Python, Java) AND familiarity with frontend frameworks (e.g., React). AI Tool Proficiency: Demonstrated experience using and integrating AI coding assistants (e.g., Claude Code, CLI agents) into daily workflows. System Design & Architecture: Proven ability to design scalable, distributed systems (understanding of microservices, databases, cloud architecture). Cloud Platforms: Experience with AWS, Azure, or GCP. DevOps Principles: Strong understanding of CI/CD pipelines, Git, and infrastructure as code. Technical Team Leadership: Prior experience managing or leading a software engineering team. Good to Have: Agentic Workflows: Experience experimenting with or deploying autonomous coding agents (e.g., Jules, OpenAI Codex). Data Engineering Basics: Understanding of ETL processes and data warehousing. Vector Databases & RAG: Familiarity with concepts of embeddings and vector search Education : BE/B.Tech/ME/M.Tech in Computer Science or related field. Institutes : Tier 1 / Tier 2 preferred.

Greetings from Getronics! Solid experience designing, building, and maintaining cloud-based data platforms and infrastructure. Deep proficiency in GCP Cloud Services, including significant experience with Big Query, Cloud Storage, Data Proc, APIGEE, Cloud Run, Google Kubernetes Engine (GKE), Postgres, Artifact Registry, Secret Manager, and Access Management (IAM). Hands-on experience implementing and managing CI/CD Pipelines using tools like Tekton and potentially Astronomer. Strong experience with Job Scheduling and workflow orchestration using Airflow. Proficiency with Version Control systems, specifically Git. Strong programming skills in Python. Expertise in SQL and experience with relational databases like SQL Server, MY SQL, Postgres SQL. Experience with or knowledge of data visualization tools like Power BI. Familiarity with code quality and security scanning tools such as FOSSA and SonarQube. Foundational Knowledge on Artificial Intelligence and Machine Learning concepts and workflows. problem-solving skills and the ability to troubleshoot complex distributed systems. Strong communication and collaboration skills. Knowledge of other cloud providers (AWS, Azure, GCP)Skills Required:GCP , Big Query,, AI/ML Company : Getronics (Permanent role) Client : Automobile Industry Experience Required : 4+ Years in IT and minimum 3+ years in GCP Data Engineering/AIML Location : Chennai (Elcot - Sholinganallur) Work Mode : Hybrid LOOKING FOR IMMEDIATE TO 30 DAYS NOTICE CANDIDATES ONLY. Thanks, Durga.