1404 Vertex Jobs - Page 7

Job ID: 39582 Position Summary A rewarding career at HID Global beckons you! We are looking for an AI/ML Engineer , who is responsible for designing, developing, and deploying advanced AI/ML solutions to solve complex business challenges. This role requires expertise in machine learning, deep learning, MLOps, and AI model optimization , with a focus on building scalable, high-performance AI systems. As an AI/ML Engineer , you will work closely with data engineers, software developers, and business stakeholders to integrate AI-driven insights into real-world applications. You will be responsible for model development, system architecture, cloud deployment, and ensuring responsible AI adoption . We are a leading company in the trusted source for innovative HID Global Human Resources products, solutions and services that help millions of customers around the globe create, manage and use secure identities. Roles & Responsibilities: Design, develop, and deploy robust & scalable AI/ML models in Production environments. Collaborate with business stakeholders to identify AI/ML opportunities and define measurable success metrics. Design and build Retrieval-Augmented Generation (RAG) pipelines integrating vector stores, semantic search, and document parsing for domain-specific knowledge retrieval. Integrate Multimodal Conversational AI platforms (MCP) including voice, vision, and text to deliver rich user interactions. Drive innovation through PoCs, benchmarking, and experiments with emerging models and architectures. Optimize models for performance, latency and scalability. Build data pipelines and workflows to support model training and evaluation. Conduct research & experimentation on the state-of-the-art techniques (DL, NLP, Time series, CV) Partner with MLOps and DevOps teams to implement best practices in model monitoring, version and re-training. Lead code reviews, architecture discussions and mentor junior & peer engineers. Architect and implement end-to-end AI/ML pipelines, ensuring scalability and efficiency. Deploy models in cloud-based (AWS, Azure, GCP) or on-premises environments using tools like Docker, Kubernetes, TensorFlow Serving, or ONNX Ensure data integrity, quality, and preprocessing best practices for AI/ML model development. Ensure compliance with AI ethics guidelines, data privacy laws (GDPR, CCPA), and corporate AI governance. Work closely with data engineers, software developers, and domain experts to integrate AI into existing systems. Conduct AI/ML training sessions for internal teams to improve AI literacy within the organization. Strong analytical and problem solving mindset. Technical Requirements: Strong expertise in AI/ML engineering and software development. Strong experience with RAG architecture, vector databases Proficiency in Python and hands-on experience in using ML frameworks (tensorflow, pytorch, scikit-learn, xgboost etc) Familiarity with MCPs like Google Dialogflow, Rasa, Amazon Lex, or custom-built agents using LLM orchestration. Cloud-based AI/ML experience (AWS Sagemaker, Azure ML, GCP Vertex AI, etc.). Solid understanding of AI/ML life cycle – Data preprocessing, feature engineering, model selection, training, validation and deployment. Experience in production grade ML systems (Model serving, APIs, Pipelines) Familiarity with Data engineering tools (SPARK, Kafka, Airflow etc) Strong knowledge of statistical modeling, NLP, CV, Recommendation systems, Anomaly detection and time series forecasting. Hands-on in Software engineering with knowledge of version control, testing & CI/CD Hands-on experience in deploying ML models in production using Docker, Kubernetes, TensorFlow Serving, ONNX, and MLflow. Experience in MLOps & CI/CD for ML pipelines, including monitoring, retraining, and model drift detection. Proficiency in scaling AI solutions in cloud environments (AWS, Azure & GCP). Experience in data preprocessing, feature engineering, and dimensionality reduction. Exposure to Data privacy, Compliance and Secure ML practices Education and/or Experience: Graduation or master’s in computer science or information technology or AI/ML/Data science 3+ years of hands-on experience in AI/ML development/deployment and optimization Experience in leading AI/ML teams and mentoring junior engineers.

Location: Mohali, PB Job Type: Full-Time Exp: Minimum of 2 years of experience in advanced AI development. Shift Timings: 12-10pm IST About RChilli RChilli is a leader in AI-driven HR technology, powering next-generation recruitment solutions globally. We thrive on innovation, agility, and a mission to revolutionize the way HR teams work with intelligent automation. As we expand our capabilities in Agentic AI, we are looking for a passionate technologist to lead and drive this initiative. Position Summary We are urgently seeking a hands-on, visionary professional to lead the development and deployment of Agentic AI systems . This role is central to our next phase of AI innovation and requires deep technical acumen in building autonomous AI agents integrated with leading cloud platforms. Key Responsibilities Design and Architect Agentic AI solutions aligned with business goals. Lead the End-to-End Development of AI agents, from ideation through production deployment. Integrate multi-agent systems across cloud environments including AWS, Google Cloud, and Azure . Ensure scalable, secure, and reliable deployments of AI systems. Collaborate with Product, Engineering, and DevOps teams to maintain high availability and performance of AI solutions. Stay ahead of AI trends to introduce cutting-edge innovations into the product lifecycle. Technical Requirements Proven track record in designing and deploying Agentic AI systems . Proficiency with cloud-native agent development platforms: AWS Bedrock Google Vertex AI Agent Builder Azure AI Studio & Azure AI Agent Service Deep understanding of cloud architecture , APIs, serverless frameworks, and deployment strategies. Familiarity with LLMs, prompt engineering, and orchestrating autonomous agents for complex tasks. Strong programming background (e.g., Python, Node.js) and experience with model fine-tuning and orchestration tools. Hands-on experience releasing or integrating AI agents on marketplaces such as the OpenAI GPTs Store, Hugging Face Hub, or cloud marketplaces (e.g., AWS, Azure), including knowledge of submission workflows, publishing standards, and discoverability optimization. (Experience with at least one marketplace is required.) Nice to Have Experience with tools such as LangChain, AutoGen, CrewAI, or similar agent frameworks. Background in MLOps and CI/CD for AI systems. Contributions to open-source AI agent frameworks. What We Offer A chance to lead a frontier role in cutting-edge AI development. Work with a global team of innovators . Flexible remote working environment .( Global Canididates) Competitive compensation aligned with market standards.

Job Title: Technology Lead Location: Pune, Maharashtra, India Experience Level: 8+ Years Role Overview: We are seeking an accomplished and highly driven Tech Lead to spearhead the technical direction, architecture, and hands-on development of our critical data and application infrastructure on Google Cloud Platform. This role is for a visionary leader who thrives on solving complex technical challenges, driving innovation with AI/LLM capabilities, and ensuring the delivery of scalable, highly available, and secure solutions across the complete software development lifecycle. If you possess a profound technical depth, exceptional leadership skills, and a "Get Things Done" attitude, you will be instrumental in shaping our technological future. Key Responsibilities: Technical Leadership & Architectural Ownership: Drive the technical vision, architecture, and design for complex, large-scale software solutions on GCP, ensuring high quality, scalability, maintainability, and adherence to best practices. Lead and mentor a team of engineers, fostering a culture of technical excellence, continuous learning, and innovation, providing deep technical and architectural guidance. Own the technical roadmap and strategic initiatives, influencing key stakeholders and driving architectural decisions across the tech organization. Conduct rigorous code and design reviews, ensuring solutions meet stringent technical standards and business requirements. GCP, Data Engineering & Cloud Operations: Architect, build, and optimize robust, high-performance data pipelines and ETL/ELT processes using Apache Airflow for orchestration. Lead the development and management of comprehensive data solutions utilizing Google Cloud Platform (GCP) services, including BigQuery for data warehousing, PostgreSQL for relational databases, Dataflow for stream/batch processing, and Pub/Sub for real-time messaging. Ensure paramount data integrity, cloud security, and optimal performance across all data systems. Oversee infrastructure management, resource monitoring, and cost optimization strategies within the cloud environment. Design and implement systems for exceptional scalability and high availability, managing complex networking with cloud and infrastructure. AI/LLM Integration & Strategic Automation: Lead the strategy, design, and implementation of Large Language Models (LLMs) and advanced AI coding tools into core engineering workflows to significantly enhance developer productivity and automate complex processes. Drive initiatives for end-to-end workflow automation across the software development lifecycle, leveraging AI, scripting, and advanced tooling. Lead POCs with new technologies and AI POCs, conducting benchmarking of AI tools to identify and champion the right solutions for the team and organization. Problem Solving & Innovation: Proactively identify, diagnose, and resolve highly complex technical issues, providing innovative and sustainable solutions. Champion the adoption of new technologies and methodologies to continuously improve system performance, reliability, and the overall developer experience. Cross-Functional Collaboration & Stakeholder Engagement: Collaborate extensively with product owners, data scientists, and other engineering teams to translate business needs into robust technical solutions and build sales-centric features. Engage directly with customers to gather insights, provide technical guidance, and ensure solutions meet their evolving needs. Clearly articulate complex technical concepts and strategic decisions to diverse technical and non-technical stakeholders. Manage the complete software development lifecycle from conception to deployment and ongoing operations. Required Skills & Qualifications: 8+ years of progressive experience in software engineering, with a strong emphasis on backend development, cloud-native architectures, and technical leadership roles. Expert-level proficiency in Python, including extensive experience with Django and Flask frameworks. Deep expertise in Google Cloud Platform (GCP) services, including BigQuery, PostgreSQL, Airflow, Dataflow, and Pub/Sub. Proven track record in architecting, designing, and maintaining scalable, high-performance data pipelines and distributed systems. Extensive hands-on experience with LLM integration (e.g., OpenAI GPT-4, Vertex AI Gemini) and leveraging AI coding tools (e.g., GitHub Copilot, Cursor, etc.) for enhanced productivity. Demonstrated ability to implement and optimize complex workflow automation. Solid understanding of relational databases and SQL, with advanced proficiency in PostgreSQL. Strong experience with version control systems (Git) and designing/implementing robust CI/CD pipelines (GitHub Actions, etc.). Deep understanding of microservices architecture, serverless applications, and API design principles. Expertise in containerization technologies (Docker, Kubernetes). Understanding of FHIR (Fast Healthcare Interoperability Resources) standards for healthcare data exchange. Proven experience with Cloud Security best practices and implementation. Demonstrable experience in infrastructure management, resource monitoring, and cloud cost optimization. A track record of designing and building systems for exceptional scalability and high availability. Strong understanding of core software engineering principles, design patterns, and architectural best practices. Exceptional problem-solving, analytical, and critical thinking skills. Outstanding communication, interpersonal, and leadership skills, with a proven ability to influence and guide technical teams. A "Get Things Done" attitude, high energy, and a passion for continuous learning and innovation. Bonus Points (Nice to Have): Experience with Infrastructure as Code (e.g., Terraform). Experience with other major cloud platforms (e.g., AWS Lambda, S3, RDS). Experience with streaming technologies like Kafka. Familiarity with visualization and analytics tools (Metabase, Apache Superset). Contributions to open-source projects or technical communities.

To Apply: Send your updated resume to hr@whitemastery.com with the subject line: Senior AI and ML Engineer – Application or contact (+91) 9176760030 Role Overview As a Senior AI & ML Engineer, you will be responsible for designing, developing, and deploying advanced machine learning models and AI systems. You will work alongside data scientists, backend engineers, and product teams to create robust AI-driven applications using Python , Golang , and various ML frameworks. Key Responsibilities Design and implement ML models and algorithms for real-world business problems. Build scalable backend services in Python and Golang to support AI functionalities. Deploy and optimize ML models into production environments. Lead architecture decisions and code reviews, ensuring performance and maintainability. Collaborate with cross-functional teams including data engineering, product, and DevOps. Stay current with the latest research and trends in AI/ML to propose innovative solutions. Mentor junior engineers and contribute to technical documentation and knowledge sharing. Key Skills & Qualifications Bachelor's or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 5+ years of experience in software engineering with at least 3 years focused on ML applications. Strong proficiency in Python and experience with ML libraries (TensorFlow, PyTorch, Scikit-learn, etc.). Good experience working with Golang for backend development or system-level programming. Solid understanding of ML lifecycle – data preprocessing, feature engineering, training, evaluation, and deployment. Experience with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, GCP, Azure). Excellent problem-solving skills and ability to translate business needs into technical solutions. Strong communication and teamwork abilities. Nice to Have Experience with MLOps tools like MLflow, Kubeflow, or Vertex AI. Familiarity with RESTful APIs, microservices architecture, and event-driven systems. Background in NLP, computer vision, or time-series analysis. Job Type: Full-time Pay: ₹400,000.00 - ₹700,000.00 per year Benefits: Flexible schedule Paid time off Work from home Application Question(s): Do you have any notice period or can you join immediately? Experience: AI and ML: 3 years (Preferred) Location: Chennai, Tamil Nadu (Preferred) Work Location: In person

Join our Team About this opportunity: We are looking for a Senior Machine Learning Engineer with 10+ years of experience to design, build, and deploy scalable machine learning systems in production. This is not a data science role — we are seeking an engineering-focused individual who can partner with data scientists to productionize models, own ML pipelines end-to-end, and drive reliability, automation, and performance of our ML infrastructure. You’ll work on mission-critical systems where robustness, monitoring, and maintainability are key. You should be experienced with modern MLOps tools, cloud platforms, containerization, and model serving at scale. What you will do: Design and build robust ML pipelines and services for training, validation, and model deployment. Work closely with data scientists, solution architects, DevOps engineers, etc. to align the components and pipelines with project goals and requirements. Communicate deviation from target architecture (if any). Cloud Integration: Ensuring compatibility with cloud services of AWS, and Azure for enhanced performance and scalability Build reusable infrastructure components using best practices in DevOps and MLOps. Security and Compliance: Adhering to security standards and regulatory compliance, particularly in handling confidential and sensitive data. Network Security: Design optimal network plan for given Cloud Infrastructure under the E// network security guidelines Monitor model performance in production and implement drift detection and retraining pipelines. Optimize models for performance, scalability, and cost (e.g., batching, quantization, hardware acceleration). Documentation and Knowledge Sharing: Creating detailed documentation and guidelines for the use and modification of the developed components. The skills you bring: Strong programming skills in Python Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). Hands-on with MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience deploying models using Docker and Kubernetes. Strong knowledge of cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI). Proficiency with data engineering tools (Spark, Kafka, SQL/NoSQL). Solid understanding of CI/CD, version control (Git), and infrastructure as code (Terraform, Helm). Experience with monitoring/logging (Prometheus, Grafana, ELK). Good-to-Have Skills Experience with feature stores (Feast, Tecton) and experiment tracking platforms. Knowledge of edge/embedded ML, model quantization, and optimization. Familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases. Experience leading cross-functional initiatives or mentoring junior engineers. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 770160

Join our Team About this opportunity: We are looking for a Senior Machine Learning Engineer with 10+ years of experience to design, build, and deploy scalable machine learning systems in production. This is not a data science role — we are seeking an engineering-focused individual who can partner with data scientists to productionize models, own ML pipelines end-to-end, and drive reliability, automation, and performance of our ML infrastructure. You’ll work on mission-critical systems where robustness, monitoring, and maintainability are key. You should be experienced with modern MLOps tools, cloud platforms, containerization, and model serving at scale. What you will do: Design and build robust ML pipelines and services for training, validation, and model deployment. Work closely with data scientists, solution architects, DevOps engineers, etc. to align the components and pipelines with project goals and requirements. Communicate deviation from target architecture (if any). Cloud Integration: Ensuring compatibility with cloud services of AWS, and Azure for enhanced performance and scalability Build reusable infrastructure components using best practices in DevOps and MLOps. Security and Compliance: Adhering to security standards and regulatory compliance, particularly in handling confidential and sensitive data. Network Security: Design optimal network plan for given Cloud Infrastructure under the E// network security guidelines Monitor model performance in production and implement drift detection and retraining pipelines. Optimize models for performance, scalability, and cost (e.g., batching, quantization, hardware acceleration). Documentation and Knowledge Sharing: Creating detailed documentation and guidelines for the use and modification of the developed components. The skills you bring: Strong programming skills in Python Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). Hands-on with MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience deploying models using Docker and Kubernetes. Strong knowledge of cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI). Proficiency with data engineering tools (Spark, Kafka, SQL/NoSQL). Solid understanding of CI/CD, version control (Git), and infrastructure as code (Terraform, Helm). Experience with monitoring/logging (Prometheus, Grafana, ELK). Good-to-Have Skills Experience with feature stores (Feast, Tecton) and experiment tracking platforms. Knowledge of edge/embedded ML, model quantization, and optimization. Familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases. Experience leading cross-functional initiatives or mentoring junior engineers. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more. Primary country and city: India (IN) || Bangalore Req ID: 770160

Job Title: Agent AI Specialist / Senior AI Engineer Location: Delhi NCR Experience: 1–2 years Department: AI/ML Research & Development Job Type: Full-time Job Summary: We are seeking a highly skilled and motivated AI Specialist with hands-on experience in Agent AI frameworks and multi-agent communication protocols. The ideal candidate will be passionate about pushing the boundaries of AI with deep learning, autonomous agents, and cutting-edge tools like LangChain, LangGraph, and llama-index. If you have a strong foundation in image processing, and experience with cloud AI platforms like Azure ML Foundry or Google Vertex AI, we’d love to hear from you. Key Responsibilities: Design, build, and deploy AI agents using frameworks like Autogen , LangChain , LangGraph , and llama-index Develop and implement Agent-to-Agent (A2A) communication protocols for autonomous coordination Integrate multi-agent cognitive protocols (MCP) for enhanced agent collaboration Apply advanced deep learning techniques to real-world AI and computer vision problems Work on image processing tasks using AI/ML models for detection, enhancement, and transformation Collaborate with cross-functional teams to deliver scalable AI solutions on cloud platforms such as Azure Foundry or Google Vertex AI Conduct POCs and build demos showcasing agent-based AI applications Stay current with research trends and innovations in the field of generative AI, agent systems, and multimodal learning Key Requirements: Proven experience with Agent AI frameworks like Autogen or similar Strong understanding of MCP / A2A protocols and agent coordination techniques Proficiency in Python and AI/ML libraries (e.g., PyTorch, TensorFlow) Experience in image processing using AI (OpenCV, Pillow, deep learning models, etc.) Hands-on experience with LangChain , LangGraph , llama-index , or equivalent modular AI frameworks Familiarity with cloud-based ML tools – especially Azure Foundry , Google Vertex AI , or AWS SageMaker Strong analytical and problem-solving skills Good communication and documentation abilities. Qualifications: BE/B.Tech/MCA/MSc

Job Title: Gen AI Technical Lead/ Architect || Agentic AI || Immediate Joiners Only from Delhi NCR Experience: 8–14 Years Location: Noida/ Faridabad Work Mode: Full-time, Hybrid About the Role We are seeking an exceptional AI Architect with deep expertise in Agentic AI and Generative AI to lead the design, development, and deployment of next-generation autonomous AI systems. This role is pivotal in building LLM-powered agents , integrating memory, tool use, planning, and reasoning capabilities to create intelligent, goal-driven systems. As a technical leader, you will drive end-to-end AI initiatives—from cutting-edge research and architecture design to scalable deployment in cloud environments. Key Responsibilities Agentic AI Design & Implementation Architect and build LLM-based agents capable of autonomous task execution, memory management, tool usage, and multi-step reasoning. Develop modular, goal-oriented agentic systems using tools like LangChain , Auto-GPT , CrewAI , SuperAGI , and OpenAI Function Calling . Design multi-agent ecosystems with collaboration, negotiation, and task delegation capabilities. Integrate long-term and short-term memory (e.g., vector databases, episodic memory) into agents. Generative AI & Model Optimization Develop, fine-tune, and optimize foundation models (LLMs, diffusion models) using TensorFlow , PyTorch , or JAX . Apply model compression, quantization, pruning, and distillation techniques for deployment efficiency. Leverage cloud AI services such as AWS SageMaker , Azure ML , Google Vertex AI for scalable model training and serving. AI Research & Innovation Lead research in Agentic AI, LLM orchestration, and advanced planning strategies (e.g., ReAct, Tree of Thought, Reflexion, Autoformalism). Stay current with SOTA research; contribute to whitepapers, blogs, or top-tier conferences (e.g., NeurIPS, ICML, ICLR). Evaluate new architectures like BDI models , cognitive architectures (e.g., ACT-R, Soar), or neuro-symbolic approaches. Programming & Systems Engineering Strong coding proficiency in Python , CUDA , and TensorRT for model acceleration. Experience with distributed computing frameworks (e.g., Ray , Dask , Apache Spark ) for training large-scale models. Design and implement robust MLOps pipelines with Docker , Kubernetes , MLflow , and CI/CD systems. Required Skills & Qualifications 8–14 years of experience in AI/ML, with at least 2+ years hands-on with Agentic AI systems. Proven experience building, scaling, and deploying agent-based architectures. Strong theoretical foundation in machine learning, deep learning, NLP, and reinforcement learning. Familiarity with cognitive architectures, decision-making, and planning systems. Hands-on with LLM integration and fine-tuning (e.g., OpenAI GPT-4, Claude, LLaMA, Mistral, Gemini). Deep understanding of prompt engineering , function/tool calling , retrieval-augmented generation (RAG) , and memory management in agentic systems. Preferred (Nice to Have) Publications or open-source contributions in Agentic AI or Generative AI. Experience with simulation environments for training/test agents (e.g., OpenAI Gym, Unity ML-Agents). Knowledge of safety, ethics, and alignment in autonomous AI systems. About Damco: We are a global technology company with more than two decades of core IT experience. Our differentiators are technological prowess with unwavering back-end support on a wide range of technologies and industry-leading platforms. At Damco, we take pride in building innovative, efficient, and robust IT solutions for our clients. We match the client’s business goals with our technology expertise and immaculate execution capabilities to solve issues that matter to the end-user. Damco has developed hundreds of products and applications, redefined countless processes, built numerous technology teams and systems, and delivered significant financial results to customers from diverse verticals. We believe in empowering our people to perform and grow by offering opportunities, learning, and inspiration—to ‘act and accomplish’. If you are a self-starter looking for an open and collaborative work culture to excel in career, we are the place for you. Here is what you can expect from our work-culture.

Job Summary: We are looking for a skilled and proactive Machine Learning Applications Engineer with at least 6 years of industry experience and a strong foundation in DevOps practices . The ideal candidate will be responsible for building, deploying, and optimizing ML models in production environments, as well as ensuring robust infrastructure support for AI/ML pipelines. This role sits at the intersection of data science, machine learning engineering, and DevOps. Key Responsibilities: Design, develop, and deploy scalable ML models and applications into production environments. Build and manage end-to-end ML pipelines including data ingestion, model training, evaluation, versioning, deployment, and monitoring. Implement CI/CD pipelines tailored for ML workflows. Collaborate with data scientists, software engineers, and cloud architects to operationalize machine learning solutions. Ensure high availability, reliability, and performance of ML services in production. Monitor and optimize model performance post-deployment. Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools. Maintain strong documentation of ML systems, experiments, and deployment configurations. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. Minimum 6 years of professional experience in software engineering or ML engineering roles. Strong hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Proficiency in Python (and optionally Java, Scala, or Go). Solid experience with DevOps tools such as Docker, Kubernetes, Jenkins, GitLab CI/CD. Experience with cloud platforms like AWS, Azure, or GCP , particularly with AI/ML services and infrastructure. Knowledge of monitoring and logging tools (e.g., Prometheus, Grafana, ELK, CloudWatch). Strong understanding of ML Ops practices including model versioning, experiment tracking, and reproducibility. Preferred Qualifications: Experience with Kubeflow , MLflow , SageMaker , or Vertex AI . Familiarity with data engineering tools such as Apache Airflow, Spark, or Kafka. Understanding of data security and compliance best practices in ML deployments. Prior experience in deploying large-scale, low-latency ML applications in production.

Role Title: AI Platform Engineer Location: Bangalore (In Person in office when required) Part of the GenAI COE Team Key Responsibilities Platform Development and Evangelism: Build scalable AI platforms that are customer-facing. Evangelize the platform with customers and internal stakeholders. Ensure platform scalability, reliability, and performance to meet business needs. Machine Learning Pipeline Design: Design ML pipelines for experiment management, model management, feature management, and model retraining. Implement A/B testing of models. Design APIs for model inferencing at scale. Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI. LLM Serving And GPU Architecture Serve as an SME in LLM serving paradigms. Possess deep knowledge of GPU architectures. Expertise in distributed training and serving of large language models. Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM. Model Fine-Tuning And Optimization Demonstrate proven expertise in model fine-tuning and optimization techniques. Achieve better latencies and accuracies in model results. Reduce training and resource requirements for fine-tuning LLM and LVM models. LLM Models And Use Cases Have extensive knowledge of different LLM models. Provide insights on the applicability of each model based on use cases. Proven experience in delivering end-to-end solutions from engineering to production for specific customer use cases. DevOps And LLMOps Proficiency Proven expertise in DevOps and LLMOps practices. Knowledgeable in Kubernetes, Docker, and container orchestration. Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph. Skill Matrix LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery. Cloud Knowledge: AWS/Azure/GCP Dev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert Proficient in Python, SQL, Javascript Email : diksha.singh@aptita.com

Kolkata,West Bengal,India +1 more Job ID 770160 Join our Team About this opportunity: We are looking for a Senior Machine Learning Engineer with 10+ years of experience to design, build, and deploy scalable machine learning systems in production. This is not a data science role — we are seeking an engineering-focused individual who can partner with data scientists to productionize models, own ML pipelines end-to-end, and drive reliability, automation, and performance of our ML infrastructure. You’ll work on mission-critical systems where robustness, monitoring, and maintainability are key. You should be experienced with modern MLOps tools, cloud platforms, containerization, and model serving at scale. What you will do: Design and build robust ML pipelines and services for training, validation, and model deployment. Work closely with data scientists, solution architects, DevOps engineers, etc. to align the components and pipelines with project goals and requirements. Communicate deviation from target architecture (if any). Cloud Integration: Ensuring compatibility with cloud services of AWS, and Azure for enhanced performance and scalability Build reusable infrastructure components using best practices in DevOps and MLOps. Security and Compliance: Adhering to security standards and regulatory compliance, particularly in handling confidential and sensitive data. Network Security: Design optimal network plan for given Cloud Infrastructure under the E// network security guidelines Monitor model performance in production and implement drift detection and retraining pipelines. Optimize models for performance, scalability, and cost (e.g., batching, quantization, hardware acceleration). Documentation and Knowledge Sharing: Creating detailed documentation and guidelines for the use and modification of the developed components. The skills you bring: Strong programming skills in Python Deep experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, XGBoost). Hands-on with MLOps tools like MLflow, Airflow, TFX, Kubeflow, or BentoML. Experience deploying models using Docker and Kubernetes. Strong knowledge of cloud platforms (AWS/GCP/Azure) and ML services (e.g., SageMaker, Vertex AI). Proficiency with data engineering tools (Spark, Kafka, SQL/NoSQL). Solid understanding of CI/CD, version control (Git), and infrastructure as code (Terraform, Helm). Experience with monitoring/logging (Prometheus, Grafana, ELK). Good-to-Have Skills Experience with feature stores (Feast, Tecton) and experiment tracking platforms. Knowledge of edge/embedded ML, model quantization, and optimization. Familiarity with model governance, security, and compliance in ML systems. Exposure to on-device ML or streaming ML use cases. Experience leading cross-functional initiatives or mentoring junior engineers. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Your key responsibilities You will be working on large finance/tax transformations helping our clients leverage SAP to improve the tax function by supporting and automating internal and external operations of multinational tax departments. You will contribute and help toward developing a highly trained team, all the while handling activities with a focus on quality and commercial value. This is a highly regulated industry, so it is all about maintaining our reputation as trusted advisors by taking on bold initiatives and owning new challenges. Skills and attributes for success Delivering large projects/programs related to SAP implementations and transformations Ability to understand key tax processes and translate those requirements into SAP Work collaboratively with cross functional tax, advisory and assurance teams Provide input into thought leadership Build and mentor team members Deliver quality work in alignment with key business metrics To qualify for the role, you must have A bachelors degree in Information Systems and/or a master’s degree in Accounting, Tax Technology, Management Information Systems, or Computer Science or related field and Strong organizational and time management skills, with exceptional client-serving consulting skills Demonstrated ability to capture and synthesize business requirements Ability to lead a team, mentor counselees and manage client-serving business Demonstrated ability to successfully sell and deliver large enterprise programs Broad understanding of tax accounting and major tax processes Ideally, you’ll also have Experience implementing third-party direct or indirect tax systems (such as ONESOURCE, CorpTax, Vertex, Avalara, Longview, etc.) Experience defining data and reporting needs for a tax department ERP experience, including SAP and/or Oracle Experience managing large, multidisciplinary projects that impact tax (e.g., ERP implementations, tax co-sourcing engagements, finance transformations)

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Manager – Sales and Use Tax Indirect Tax has 9 sub-functions which manage Global accounts. Indirect Tax is spread across 8 GDS Locations. Our footprint extends to over 30+ countries in the world and looking at expanding it to over 50+ countries soon. We help country practices streamline and manage large engagements for several clients. Our team is Dynamic, culturally diverse and inclusive global workforce. Organized across geographic areas and business lines We drive high performance work culture. The opportunity An exciting opportunity with Sales and Use Tax Team. Assistance and coaching from some of the most engaging colleagues around. Opportunities for career and learning development. EY badges and Career mentoring The freedom and flexibility to handle your role Your Key Responsibilities Identify, document, and recommend client business requirements for implementing sales and use tax compliance processes and system improvements. Review and reconcile tax value notices and tax bills and interact with taxing jurisdictions to resolve discrepancies Expertise on Sales tax concepts and well versed with research tools like Vertex, Data handling, filings, Notices, Accounting etc Technically versatile and able to work with data from various sources of complexity and formats Monitor changes in State and Local tax legislation and rates incorporate changes timely into monthly procedures and update the team. Ability to communicate effectively and work competently with teams in other geographic locations Oversee returns reviewed by the senior by following the Standard operating procedures and update the Manager/Senior Manager on work related issues. Perform second level reviews and signs off returns reviewed by seniors. Enjoys working with people and developing people, with key focus on managing effective teams Prepare documentation and training presentations for US stakeholders as applicable. Skills And Attributes For Success Strong technical awareness of global indirect tax issues, knowledge of sales and use tax processes and data drivers. Experience leading a diverse, highly motivated team Involved in continuous improvement and the latest tax technologies To qualify for the role, you must have 8-12 years of experience in the domain Bachelor’s Degree or master’s degree Exhibit inclusive behavior in interactions with internal & external stakeholders with strong communication skills Knowledge on budgeting, reporting and billing and financial aspects of the projects. Ability to generate and plan work effort and manage project schedules/priorities with clear written and verbal communications and ability to travel for thirty percent of the time. Excellent time management, being able to work with several different clients and internal stakeholders. Ideally, you’ll also have Proficiency in Data visualization tools. Power Query, Power BI, etc. What We Look For We look for candidates with proven capabilities in driving multiple projects, with exception client management and project management experience What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success, as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Req ID: 333041 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a GCP Python Gen AI LLM RAG Vertex AI to join our team in Hyderabad, Telangana (IN-TG), India (IN). Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (Must Have) 2+ years working with GCP (Google Cloud Platform and its services ) or alternate public/hybrid cloud and a proven track record delivering products with cloud services and cloud architectures at scale. (Must Have) 2+ years of experience with Python (Must Have) 3+ years of experience with GenAI, LLMs, RAG, vector databases and conversational bots (Must Have) 1+ years of experience with Playbooks , Vertex AI (Must Have) Exposure to ADK (hands-on) and Voice AI (Good to have) , LangChain and/or LangGraph is a plus (Good to have) ,4+ years of Contact Center industry experience with design, development, testing, integration with vendors, CRMs and business applications. Proven knowledge in one or more of the contact center sub domains such as: IVR/IVA, NLU/NLP, Real Time Omni channel Agent experience and customer journey, CX/AX experience optimization using AI/ML (Artificial Intelligence/ Machine Learning) (Good to have) ,4+ years of experience with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services (Good to have) ,2+ years of Deep Domain Driven Design experience with cloud native Microservices designed and developed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s or Serverless cloud technologies. 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. 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 one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Job Id: R0000388529 Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As a Lead Engineer (L6) you will own the technical strategy, architecture, and delivery for multiple teams building full‑stack, AI‑enabled contact‑center products. You will guide architectural evolution, champion security and reliability, and scale Generative AI adoption across the portfolio.Key Responsibilities Define and communicate architectural vision for full‑stack and event‑driven systems, aligning to enterprise guardrails. Drive high‑stakes design decisions (build vs. buy, domain boundaries, data models) across products and teams. Lead, mentor, and grow engineers (L4–L5) through coaching, design reviews, and career guidance. Establish and monitor SLIs/SLOs ; partner with SRE to improve availability, latency, and cost efficiency. Champion secure‑by‑design practices ; conduct threat modeling, oversee penetration tests, and drive remediation at scale. Integrate Generative AI capabilities (LLMs, RAG, agents) into platform architecture, balancing innovation with risk. Influence portfolio roadmaps by articulating technical trade‑offs and business impact to senior leadership. Cultivate engineering culture focused on psychological safety, learning, and continuous improvement. Required Qualifications : 10+ years of software engineering experience with at least 3 years in a technical leadership/architect role. Demonstrated mastery of full‑stack development (React/TypeScript; Kotlin/Micronaut, Java/Spring, Python) and distributed system design. Proven track record operating mission‑critical, high‑scale platforms (99.9 %+ availability). Deep expertise in cloud architecture ( GCP preferred ), CI/CD automation, observability, and cost optimization. Extensive knowledge of application & infrastructure security, compliance (PCI‑DSS, GLBA, SOX), and incident management. Experience architecting and shipping AI‑powered capabilities (OpenAI, Vertex AI, Hugging Face, vector DBs) to production. Exceptional communication and influence skills; ability to translate complex concepts for diverse stakeholders. Preferred Skills : Expertise with Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice , or other large‑scale telephony/IVR ecosystems. Experience leading enterprise‑wide modernization or platform migration initiatives. Contributions to open‑source or industry standards; conference speaking Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging Competitive benefits We are proud to provide benefits that support you, your family and your future. Health and well-being Target in India (TII) prioritizes our people by offering healthcare support, fitness programs, teleheath benefits (i.e., screenings and consultations) and 24/7 confidential mental well-being telecounseling support. Financial well-being Your financial well-being is bright with TII's comprehensive flexible insurance program, National Pension System, learning assistance program, day care support and much more. Paid time off TII encourages work-life balance with paid time off like privilege, casual, bereavement and parental leaves that offer support in all stages of life. Competitive pay TII knows our people are everything and proudly provides equitable and competitive pay. Other benefits From digitalized cafeteria solutions to transportation services to broadband reimbursement, enjoy special everyday perks. Eligibility requirements may vary based on position, average hours worked, length of service and program requirements. Benefits are subject to change. Creating a culture of joy We bring out the best in each other every day. Inclusivity We value diverse voices and approaches. We act with authenticity and respect. We create equitable experiences for all. Connection We build trusted relationships. We collaborate across business functions. We recognize and celebrate progress. Drive We do what is right for Target, our team and guests. We deliver results that matter. We continually learn by valuing progress over perfection.

Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As a Lead Engineer (L6) you will own the technical strategy, architecture, and delivery for multiple teams building full‑stack, AI‑enabled contact‑center products. You will guide architectural evolution, champion security and reliability, and scale Generative AI adoption across the portfolio.Key Responsibilities Define and communicate architectural vision for full‑stack and event‑driven systems, aligning to enterprise guardrails. Drive high‑stakes design decisions (build vs. buy, domain boundaries, data models) across products and teams. Lead, mentor, and grow engineers (L4–L5) through coaching, design reviews, and career guidance. Establish and monitor SLIs/SLOs ; partner with SRE to improve availability, latency, and cost efficiency. Champion secure‑by‑design practices ; conduct threat modeling, oversee penetration tests, and drive remediation at scale. Integrate Generative AI capabilities (LLMs, RAG, agents) into platform architecture, balancing innovation with risk. Influence portfolio roadmaps by articulating technical trade‑offs and business impact to senior leadership. Cultivate engineering culture focused on psychological safety, learning, and continuous improvement. Required Qualifications : 10+ years of software engineering experience with at least 3 years in a technical leadership/architect role. Demonstrated mastery of full‑stack development (React/TypeScript; Kotlin/Micronaut, Java/Spring, Python) and distributed system design. Proven track record operating mission‑critical, high‑scale platforms (99.9 %+ availability). Deep expertise in cloud architecture ( GCP preferred ), CI/CD automation, observability, and cost optimization. Extensive knowledge of application & infrastructure security, compliance (PCI‑DSS, GLBA, SOX), and incident management. Experience architecting and shipping AI‑powered capabilities (OpenAI, Vertex AI, Hugging Face, vector DBs) to production. Exceptional communication and influence skills; ability to translate complex concepts for diverse stakeholders. Preferred Skills : Expertise with Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice , or other large‑scale telephony/IVR ecosystems. Experience leading enterprise‑wide modernization or platform migration initiatives. Contributions to open‑source or industry standards; conference speaking Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Job Id: R0000393743 Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Target Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As a Senior Engineer (L5) you will drive the design, architecture, development, testing, and deployment of full‑stack capabilities across multiple product teams. You serve as a technical mentor, champion secure‑by‑design practices, and lead the integration of Generative AI into production systems.Key Responsibilities Drive the end‑to‑end delivery of full‑stack features, balancing speed, quality, and sustainability. Collaborate with product, UX, SRE, and platform teams to translate product requirements into scalable technical designs. Architect and maintain robust, scalable, and secure back‑end services & APIs (microservices, event‑driven, serverless). Build user‑centric front‑end interfaces with React/TypeScript and modern UI patterns. Lead code reviews, establish testing strategies, and uphold engineering best practices. Mentor engineers (L4) , fostering a culture of continuous learning and psychological safety. Advance security posture by performing threat modeling, vulnerability management, and incident response. Partner with InfoSec and platform teams to prioritize remediation and reduce enterprise risk. Lead Gen AI proof‑of‑concepts (LLMs, prompt engineering, embeddings) and shepherd successful experiments into production. Required Qualifications : 5–7 years of professional full‑stack development experience. 3+ years supporting mission‑critical production systems, including on‑call rotations. Deep proficiency in React (or Vue/Angular) and Kotlin/Micronaut, Java/Spring, or Python on the back end. Expertise in API design (REST, GraphQL) and event streaming ( Kafka ). Hands‑on experience with relational & NoSQL databases, and cloud platforms ( GCP, AWS, or Azure ). Demonstrated experience automating CI/CD pipelines and Infrastructure as Code. Strong knowledge of infrastructure and application security; scripting in shell/Python , config mgmt in Chef/Terraform . Proven problem‑solving ability, excellent communication, and cross‑team collaboration skills. Hands‑on with Gen AI frameworks (OpenAI, Hugging Face, LangChain, vector databases) and prompt engineering. Preferred Skills : Domain expertise in Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice, GCP Speech/Vertex AI, or other telephony/IVR/Voice AI platforms. Experience implementing security compliance (PCI‑DSS, GLBA, SOX) in large enterprises. Track record of shipping AI‑powered features to production at scale. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging Competitive benefits We are proud to provide benefits that support you, your family and your future. Health and well-being Target in India (TII) prioritizes our people by offering healthcare support, fitness programs, teleheath benefits (i.e., screenings and consultations) and 24/7 confidential mental well-being telecounseling support. Financial well-being Your financial well-being is bright with TII's comprehensive flexible insurance program, National Pension System, learning assistance program, day care support and much more. Paid time off TII encourages work-life balance with paid time off like privilege, casual, bereavement and parental leaves that offer support in all stages of life. Competitive pay TII knows our people are everything and proudly provides equitable and competitive pay. Other benefits From digitalized cafeteria solutions to transportation services to broadband reimbursement, enjoy special everyday perks. Eligibility requirements may vary based on position, average hours worked, length of service and program requirements. Benefits are subject to change. Creating a culture of joy We bring out the best in each other every day. Inclusivity We value diverse voices and approaches. We act with authenticity and respect. We create equitable experiences for all. Connection We build trusted relationships. We collaborate across business functions. We recognize and celebrate progress. Drive We do what is right for Target, our team and guests. We deliver results that matter. We continually learn by valuing progress over perfection.

Job Description About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Target Tech Overview: Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. Join our global in-house technology team of more than 4,000 of engineers, data scientists, architects, coaches and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests—and we do so with a focus on experimentation and continuous learning. Pyramid & Product Overview : We create enterprise-scale technology solutions that unlock value for Target’s team members, guests, and suppliers . Millions of guests reach out to the Service Centers for assistance every year, and our engineers power: Guest Service & CRM (Salesforce Service Cloud) Self-Service & Voice Assistants (Genesys Cloud CX, Voicebots, IVR) Agent Assist & Gen AI capabilities that lower handle time and raise satisfaction Telephony & Contact Routing (Verizon Voice, Google Voice/AI) These products sit inside the GUEST Portfolio Role Summary : As a Senior Engineer (L5) you will drive the design, architecture, development, testing, and deployment of full‑stack capabilities across multiple product teams. You serve as a technical mentor, champion secure‑by‑design practices, and lead the integration of Generative AI into production systems.Key Responsibilities Drive the end‑to‑end delivery of full‑stack features, balancing speed, quality, and sustainability. Collaborate with product, UX, SRE, and platform teams to translate product requirements into scalable technical designs. Architect and maintain robust, scalable, and secure back‑end services & APIs (microservices, event‑driven, serverless). Build user‑centric front‑end interfaces with React/TypeScript and modern UI patterns. Lead code reviews, establish testing strategies, and uphold engineering best practices. Mentor engineers (L4) , fostering a culture of continuous learning and psychological safety. Advance security posture by performing threat modeling, vulnerability management, and incident response. Partner with InfoSec and platform teams to prioritize remediation and reduce enterprise risk. Lead Gen AI proof‑of‑concepts (LLMs, prompt engineering, embeddings) and shepherd successful experiments into production. Required Qualifications : 5–7 years of professional full‑stack development experience. 3+ years supporting mission‑critical production systems, including on‑call rotations. Deep proficiency in React (or Vue/Angular) and Kotlin/Micronaut, Java/Spring, or Python on the back end. Expertise in API design (REST, GraphQL) and event streaming ( Kafka ). Hands‑on experience with relational & NoSQL databases, and cloud platforms ( GCP, AWS, or Azure ). Demonstrated experience automating CI/CD pipelines and Infrastructure as Code. Strong knowledge of infrastructure and application security; scripting in shell/Python , config mgmt in Chef/Terraform . Proven problem‑solving ability, excellent communication, and cross‑team collaboration skills. Hands‑on with Gen AI frameworks (OpenAI, Hugging Face, LangChain, vector databases) and prompt engineering. Preferred Skills : Domain expertise in Genesys Cloud CX, Salesforce Service Cloud, Verizon Voice, GCP Speech/Vertex AI, or other telephony/IVR/Voice AI platforms. Experience implementing security compliance (PCI‑DSS, GLBA, SOX) in large enterprises. Track record of shipping AI‑powered features to production at scale. Know More About Us Here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Req ID: 333041 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a GCP Python Gen AI LLM RAG Vertex AI to join our team in Hyderabad, Telangana (IN-TG), India (IN). Required Qualifications: 4+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education (Must Have) 2+ years working with GCP (Google Cloud Platform and its services ) or alternate public/hybrid cloud and a proven track record delivering products with cloud services and cloud architectures at scale. (Must Have) 2+ years of experience with Python (Must Have) 3+ years of experience with GenAI, LLMs, RAG, vector databases and conversational bots (Must Have) 1+ years of experience with Playbooks , Vertex AI (Must Have) Exposure to ADK (hands-on) and Voice AI (Good to have) , LangChain and/or LangGraph is a plus (Good to have) ,4+ years of Contact Center industry experience with design, development, testing, integration with vendors, CRMs and business applications. Proven knowledge in one or more of the contact center sub domains such as: IVR/IVA, NLU/NLP, Real Time Omni channel Agent experience and customer journey, CX/AX experience optimization using AI/ML (Artificial Intelligence/ Machine Learning) (Good to have) ,4+ years of experience with Node JS, JAVA, Spring Boot, Kafka, Distributed Caches (GemFire, Redis), Elastic Search technologies, GraphQL, and NoSQL Databases (Cassandra or Mongo), Graph Databases, Public Cloud Marketplace services (Good to have) ,2+ years of Deep Domain Driven Design experience with cloud native Microservices designed and developed for massive scale and seamless resiliency, deployed on PCF/VMWare Tanzu, K8s or Serverless cloud technologies. 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. 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 one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 1-3 years work experience in embedded software and/or driver. Candidate should be detail-oriented and have strong analytic and problem-solving skills, highly organized Extremely strong knowledge with C/C++ programming, ARM assembly language. Solid understanding of overall embedded system architecture. Experience in 2D and 3D graphics technology and standards such as OpenGL, OpenGL ES/EGL, Vulkan Experience in multimedia on embedded systems and the use of graphics and in a highly integrated system. Experience and/or knowledge of the use of the GPU as a compute engine: GPGPU and OpenCL is an asset. Experience with virtualization technologies across CPU and MM hardware accelerators. Experience with GPU optimization, advanced rendering, and latency optimizations and ability to identify and isolate performance issues in graphics applications. Experience with design and implementation of modern 3D graphics applications using OpenGLES API is a plus. Experience with writing vertex and fragment shaders using shading languages such as GLSL is a plus. Knowledge in one or more of the following operating systems is preferred: Android, QNX, embedded Linux, Genivi, Integrity. Knowledge of Graphics frameworks: Kanzi, QT, is a plus *Fluent in industry standard software tools: SW/HW debuggers, code revision control systems (GIT, Perforce), IDEs and build tools. Strong communication skills (written and verbal), working with teams across multiple time zones. A passion for excellence in programming, and exceeding goals. Required: Bachelor's, Computer Engineering and/or Computer and/or Electrical Engineering Preferred: Master's, Computer Engineering and/or Computer and/or Electrical Engineering Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3077262

Roles & Responsibilities Key Responsibilities Design, develop, and optimize Machine Learning & Deep Learning models using Python and libraries such as TensorFlow, PyTorch, and Scikit-learn Work with Large Language Models (e.g., GPT, BERT, T5) to solve NLP tasks such as, semantic search, summarization, chatbots, conversational agents, and document intelligence. Lead the development of scalable AI solution including data preprocessing, embedding generation, vector search, and prompt orchestration. Build and manage vector databases and metadata stores to support high-performance semantic retrieval and contextual memory. Implement caching, queuing, and background processing systems to ensure performance and reliability at scale. Conduct independent R&D to implement cutting-edge AI methodologies, evaluate open-source innovations, and prototype experimental solutions Apply predictive analytics and statistical techniques to mine actionable insights from structured and unstructured data. Build and maintain robust data pipelines and infrastructure for end-to-end ML model training, testing, and deployment Collaborate with cross-functional teams to integrate AI solutions into business processes Contribute to the MLOps lifecycle, including model versioning, CI/CD, performance monitoring, retraining strategies, and deployment automation Stay updated with the latest developments in AI/ML by reading academic papers, and experimenting with novel tools or frameworks Required Skills & Qualifications Proficient in Python, with hands-on experience in key ML libraries: TensorFlow, PyTorch, Scikit-learn, and HuggingFace Transformers Strong understanding of machine learning fundamentals, deep learning architectures (CNNs, RNNs, transformers), and statistical modeling Practical experience working with and fine-tuning LLMs and foundation models Deep understanding of vector search, embeddings, and semantic retrieval techniques. Expertise in predictive modeling, including regression, classification, time series, clustering, and anomaly detection Comfortable working with large-scale datasets using Pandas, NumPy, SciPy etc. Experience with cloud platforms (AWS, GCP, or Azure) for training and deployment is a plus Preferred Qualifications Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, or related technical discipline. Experience with MLOps tools and workflows (e.g., Docker, Kubernetes, MLflow, SageMaker, Vertex AI). Ability to build and expose APIs for models using FastAPI, Flask, or similar frameworks. Familiarity with data visualization (Matplotlib, Seaborn) and dashboarding (Plotly) tools or equivalent Working knowledge of version control, experiment tracking, and team collaboration Experience 8-11 Years Skills Primary Skill: AI/ML Development Sub Skill(s): AI/ML Development Additional Skill(s): TensorFlow, NLP, Pytorch, Large Language Models (LLM) About The Company Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP). Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Company Description Jadro Steel LLP is a leading and fast-growing prefabricated steel building construction company in Eastern India. With a young and enterprising team of architects, designers, and engineers, we provide complete end-to-end solutions. We are known for our reliability and professionalism in manufacturing prefabricated structures such as factory sheds, warehouses, portable cabins, prefabricated hybrid steel buildings, LGSF Structures. Role Description This is a full-time on-site role located in the Greater Kolkata Area for a Vertex BD Detailer for LGSF (Light Gauge Steel Framing). The Vertex BD Detailer will be responsible for preparing detailed architectural and structural drawings using Vertex BD software, creating accurate 3D models, and coordinating with the design and engineering teams. The role also involves reviewing and modifying designs to meet client requirements and ensuring compliance with industry standards. Qualifications Experience using Vertex BD software and proficiency in creating detailed architectural and structural drawings Familiarity with Light Gauge Steel Framing (LGSF) and knowledge of prefabricated steel structures Strong coordination and communication skills to work effectively with design and engineering teams Attention to detail and the ability to review and modify designs to meet client requirements Knowledge of industry standards and compliance requirements Excellent problem-solving skills and the ability to work independently Please send your resume by whatsapp on 8240054430

We are seeking a Technical Lead with strong Application Development expertise in Google Cloud Platform (GCP). The successful candidate will provide technical leadership in designing and implementing robust, scalable cloud-based solutions. If you are an experienced professional passionate about GCP technologies and committed to staying abreast of emerging trends, apply today. Responsibilities Design, develop, and deploy cloud-based solutions using GCP, establishing and adhering to cloud architecture standards and best practices Hands on coding experience in building Java Applications using GCP Native Services like GKE, CloudRun, Functions, Firestore, CloudSQL, PubSub, etc. Develop low-level application architecture designs based on enterprise standards Choose appropriate GCP services meeting functional and non-functional requirements Demonstrate comprehensive knowledge with GCP PaaS, Serverless, and Database services Provide technical leadership to development and infrastructure teams, guiding them throughout the project lifecycle Ensure all cloud-based solutions comply with security and regulatory standards Enhance cloud-based solutions optimizing performance, cost, and scalability Stay up-to-date with the latest cloud technologies and trends in the industry Familiarity with GCP GenAI solutions and models including Vertex.ai, Codebison, and Gemini models is preferred, but not required Having hands on experience in front end technologies like Angular or React will be added advantage Requirements Bachelor's or Master's degree in Computer Science, Information Technology, or a similar field Must have 8 + years of extensive experience in designing, implementing, and maintaining applications on GCP Comprehensive expertise in GCP services such as GKE, Cloudrun, Functions, Cloud SQL, Firestore, Firebase, Apigee, GCP App Engine, Gemini Code Assist, Vertex AI, Spanner, Memorystore, Service Mesh, and Cloud Monitoring Solid understanding of cloud security best practices and experience in implementing security controls in GCP Thorough understanding of cloud architecture principles and best practices Experience with automation and configuration management tools like Terraform and a sound understanding of DevOps principles Proven leadership skills and the ability to mentor and guide a technical team

Job Description We are seeking a high-impact AI/ML Engineer to lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You'll be part of a fast-paced, outcome-oriented AI & Analytics team, working alongside data scientists, engineers, and product leaders to transform business use cases into real-time, scalable AI systems. Responsibilities This role demands strong technical leadership, a product mindset, and hands-on expertise in Computer Vision, Audio Intelligence, and Deep Responsibilities : Architect, develop, and deploy ML models for multimodal problems, including vision (image/video), audio (speech/sound), and NLP tasks. Own the complete ML lifecycle: data ingestion, model development, experimentation, evaluation, deployment, and monitoring. Leverage transfer learning, foundation models, or self-supervised approaches where suitable. Design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborate with MLOps, data engineering, and DevOps to productionize models using Docker, Kubernetes, or serverless infrastructure. Continuously monitor model performance and implement retraining workflows to ensure accuracy over time. Stay ahead of the curve on cutting-edge AI research (e.g., generative AI, video understanding, audio embeddings) and incorporate innovations into production systems. Write clean, well-documented, and reusable code to support agile experimentation and long-term platform : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 58 years of experience in AI/ML Engineering, with at least 3 years in applied deep learning. Technical Skills Languages : Expert in Python; good knowledge of R or Java is a plus. ML/DL Frameworks : Proficient with PyTorch, TensorFlow, Scikit-learn, ONNX. Computer Vision : Image classification, object detection, OCR, segmentation, tracking (YOLO, Detectron2, OpenCV, MediaPipe). Audio AI : Speech recognition (ASR), sound classification, audio embedding models (Wav2Vec2, Whisper, etc. Data Engineering : Strong with Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data. NLP/LLMs : Working knowledge of Transformers, BERT/LLAMA, Hugging Face ecosystem is preferred. Cloud & MLOps : Experience with AWS/GCP/Azure, MLFlow, SageMaker, Vertex AI, or Azure ML. Deployment & Infrastructure : Experience with Docker, Kubernetes, REST APIs, serverless ML inference. CI/CD & Version Control : Git, DVC, ML pipelines, Jenkins, Airflow, etc. Soft Skills & Competencies Strong analytical and systems thinking; able to break down business problems into ML components. Excellent communication skills able to explain models, results, and decisions to non-technical stakeholders. Proven ability to work cross-functionally with designers, engineers, product managers, and analysts. Demonstrated bias for action, rapid experimentation, and iterative delivery of impact. (ref:hirist.tech)

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Years of Experience: Candidates with 4+ years of hands on experience Position: Senior Associate Industry: Telecom / Network Analytics / Customer Analytics Required Skills: Successful candidates will have demonstrated the following skills and characteristics: Must Have Proven experience with telco data including call detail records (CDRs), customer churn models, and network analytics Deep understanding of predictive modeling for customer lifetime value and usage behavior Experience working with telco clients or telco data platforms (like Amdocs, Ericsson, Nokia, AT&T etc) Proficiency in machine learning techniques, including classification, regression, clustering, and time-series forecasting Strong command of statistical techniques (e.g., logistic regression, hypothesis testing, segmentation models) Strong programming in Python or R, and SQL with telco-focused data wrangling Exposure to big data technologies used in telco environments (e.g., Hadoop, Spark) Experience working in the telecom industry across domains such as customer churn prediction, ARPU modeling, pricing optimization, and network performance analytics Strong communication skills to interface with technical and business teams Nice To Have Exposure to cloud platforms (Azure ML, AWS SageMaker, GCP Vertex AI) Experience working with telecom OSS/BSS systems or customer segmentation tools Familiarity with network performance analytics, anomaly detection, or real-time data processing Strong client communication and presentation skills Roles And Responsibilities Assist analytics projects within the telecom domain, driving design, development, and delivery of data science solutions Develop and execute on project & analysis plans under the guidance of Project Manager Interact with and advise consultants/clients in US as a subject matter expert to formalize data sources to be used, datasets to be acquired, data & use case clarifications that are needed to get a strong hold on data and the business problem to be solved Drive and Conduct analysis using advanced analytics tools and coach the junior team members Implement necessary quality control measures in place to ensure the deliverable integrity like data quality, model robustness, and explainability for deployments. Validate analysis outcomes, recommendations with all stakeholders including the client team Build storylines and make presentations to the client team and/or PwC project leadership team Contribute to the knowledge and firm building activities Professional And Educational Background BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Master’s Degree /MBA from reputed institute