AI/ML Architect

Join our cutting-edge team at Bosch Group as an AI/ML Architect, where you will lead innovative projects leveraging artificial intelligence and machine learning technologies. This role involves designing and implementing advanced algorithms and models, collaborating with cross-functional teams to drive AI initiatives, and ensuring the successful integration of AI solutions into business processes.

Join the Bosch Group as an AI/ML Architect, where you will lead innovative projects that harness the power of artificial intelligence and machine learning. Your expertise will drive the development of cutting-edge solutions that enhance our product offerings and improve operational efficiency. Collaborate with diverse teams to design and implement AI strategies that align with business objectives and customer needs.

About Nightfall:Nightfall is an innovative, AI-driven platform focused on data loss prevention and insider risk management, safeguarding sensitive information across various SaaS applications, Generative AI tools, email systems, endpoint devices, and beyond. Trusted by hundreds of clients, from groundbreaking AI startups to major financial institutions, Nightfall excels at detecting and halting data exfiltration on a large scale. Our platform empowers organizations to innovate without the fear of losing intellectual property or jeopardizing customer information. With automated remediation capabilities, security violations are addressed proactively before escalating into incidents, while end-users receive real-time training and support to rectify any violations they may introduce.Backed by top venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, Nightfall is further strengthened by cybersecurity veterans including Enrique Salem (former CEO of Symantec), Frederic Kerrest (founder of Okta), and others.About the Role:We are seeking an outstanding technical leader to join our dynamic team at Nightfall. In the capacity of Lead Applied Scientist within the AI Engineering division, you will be responsible for developing machine learning and natural language processing models, as well as Generative AI solutions to enhance our Data Leak Protection (DLP) and other security offerings. You will spearhead efforts in researching and implementing machine modeling techniques to address security challenges, providing mentorship to both ML and Backend engineers as they move systems into production. Your contributions will be vital in shaping the long-term architecture of our AI Platform.This is a hybrid position (2 days in the office) based in our Bengaluru office, offering an ideal opportunity to pursue your passion for Data Science and ML engineering.Responsibilities:Engage in fast-paced, hands-on execution, collaborating with the team to achieve clear business objectives and deliver results effectively.Employ creative statistical and machine learning modeling techniques to address complex problems in enterprise security and data leak detection, researching the most accurate and cost-efficient solutions.Develop, train, and optimize NLP, large language, and other models for deployment in extensive, real-time environments.Collaborate with the team to transition model prototypes into production through all phases of the ML lifecycle: system architecture, data generation, training, and deployment.

Nielsen Holdings plc is looking for an AI/ML Engineer II in Bengaluru. This position involves building and deploying advanced machine learning models to address real-world problems. The work centers on turning data into insights that drive decisions and solutions. Role overview This role focuses on contributing to the design, development, and implementation of machine learning systems. Projects often require collaboration with team members and stakeholders to ensure models are effective and aligned with business needs. Key responsibilities Develop and maintain machine learning models Deploy solutions that address practical challenges using data-driven approaches Work closely with colleagues to deliver reliable, scalable results Location This position is based in Bengaluru.

Join our dynamic team at gsstech-group as a Senior Technology Engineer, where you will leverage your expertise in AI/ML platforms, MLOps, and scalable inference systems. In this pivotal role, you will be responsible for the design, deployment, and optimization of cutting-edge AI-driven solutions in both on-premises and cloud environments, with a particular emphasis on Generative AI and Large Language Model (LLM)-based applications.Key Responsibilities:Architect, develop, and sustain containerized applications utilizing OpenShift, OpenShift AI, Kubernetes, and Helm Charts.Integrate and fine-tune AI inference engines like Triton Inference Server and vLLM for optimal model serving performance.Oversee the complete model lifecycle management from deployment to monitoring, scaling, and maintenance in production settings.Implement comprehensive monitoring and alerting frameworks with tools such as Prometheus and Grafana.Collaborate on groundbreaking Generative AI and LLM initiatives, including Agentic AI systems.Establish and manage CI/CD pipelines using Jenkins, Ansible, Groovy, and Terraform.Create automation tools and scripts with Python to enhance system efficiency and reliability.Design and administer AI/ML solutions on AWS Cloud, utilizing services like Amazon SageMaker and AWS Bedrock (preferred).Enhance AI platforms across hybrid environments (on-premise and cloud).Ensure systems are scalable, resilient, and high-performing.Contribute to architectural design decisions and shape the future roadmap of AI platform capabilities.

Join gsstech-group as a Technology Engineer specializing in AI/ML Platforms, MLOps, and GenAI infrastructure. In this pivotal role, you will be responsible for designing, building, and scaling cutting-edge AI systems. We are looking for a candidate who excels in containerized environments, model serving, and cloud-based AI architecture, with an emphasis on performance, scalability, and resilience.Key Responsibilities:Design, build, and maintain containerized applications leveraging technologies such as OpenShift, OpenShift AI, Kubernetes, and Helm Charts.Deploy and optimize AI inference engines like Triton Inference Server and vLLM for high-performance model serving.Lead the end-to-end model lifecycle management, including deployment, monitoring, scaling, and retraining workflows.Implement comprehensive monitoring, logging, and alerting systems using Prometheus and Grafana.Collaborate on projects focused on GenAI and LLM-based solutions, particularly Agentic AI solutions.Develop and automate CI/CD pipelines with tools such as Jenkins, Groovy, Ansible, and Terraform.Create automation scripts and internal tools using Python.Architect and manage AI/ML solutions on AWS, utilizing services like SageMaker and Bedrock (preferred).Enhance AI platforms across on-premise and cloud environments.Ensure systems are highly scalable, fault-tolerant, and optimized for performance.Contribute to architecture design, platform roadmap, and strategic technical decisions.

Join our dynamic team at DigitalOcean as a Senior Cloud Support Engineer, specializing in AI/ML and database technologies. In this impactful role, you will leverage your expertise to provide exceptional technical support, troubleshoot complex issues, and collaborate with cross-functional teams to enhance our cloud services. Your contributions will be pivotal in ensuring our clients achieve their goals using our innovative infrastructure and tools.

Are you driven by a passion for Artificial Intelligence and eager to foster innovation within a dynamic, impact-oriented environment? Do you possess substantial experience in developing AI-driven applications and have a knack for mentoring others? If this resonates with you, we would love for you to become a part of our team at Nexthink as a Senior AI & ML Engineer!In this pivotal role as a senior member of the AI team, you will spearhead architectural decisions, set best practices, and deliver resilient, scalable AI systems, with a keen focus on AI-driven and agentic applications operating in production settings.Key ResponsibilitiesLead AI Development: Take ownership of the comprehensive design, development, and operational management of production-level AI/ML solutions, encompassing ML and NLP models, large language models (LLM), retrieval-augmented generation (RAG), and multi-agent systems. Make critical architectural decisions regarding model selection, training methodologies, retrieval techniques, orchestration frameworks, and infrastructure.AI Excellence: Develop evaluations and establish success metrics utilizing state-of-the-art AI platforms.MLOps: Apply and oversee MLOps methodologies to enhance the deployment, monitoring, and maintenance of models in production environments.Collaboration & Leadership: Partner closely with software engineers, data scientists, and product teams to synchronize AI capabilities with business objectives.Mentorship & Coaching: Provide guidance and support to junior AI engineers, nurturing a culture of continuous learning and knowledge sharing.

About UsMindtickle stands as the premier revenue productivity platform, adeptly merging on-the-job learning with deal execution to elevate revenue per representative. Acknowledged as a frontrunner by top industry analysts, we proudly hold the title of the #1 sales onboarding and training product according to G2. Additionally, we have been honored as a Leader in the inaugural Forrester Wave™: Revenue Enablement Platforms, Q3 2024!In the role of a Senior Software Development Engineer specializing in AI/ML, you will:- Transform business inquiries and requirements into actionable technical specifications, solutions, architectures, and implementations.- Define precise problem statements and technical requirements that align business objectives with AI research goals.- Spearhead the comprehensive design, prototyping, and implementation of AI systems, ensuring they achieve performance, scalability, and reliability benchmarks.- Design solutions for Generative AI and Large Language Model integrations, focusing on prompt engineering, context management, and agentic workflows.- Develop and uphold production-quality code with extensive test coverage and robust CI/CD pipelines utilizing AWS, Kubernetes, and cloud-native infrastructures.- Establish and manage post-deployment monitoring, performance testing, and alerting frameworks to guarantee adherence to performance and quality SLAs.- Conduct meticulous design and code reviews, uphold best practices, and champion technical excellence across the team.- Mentor junior engineers and interns, cultivating a culture of continuous learning and innovation.- Collaborate intimately with product management, QA, data engineering, DevOps, and customer-facing teams to deliver cohesive AI-driven product features.

About Us At Hitachi Digital Services, we are a pioneering global digital solutions provider with an ambitious vision to unleash the full potential of our world. Driven by our commitment to people and our planet, we strive to innovate urban environments, conserve invaluable resources, and contribute positively to society. Our mission is to empower organizations through cutting-edge technology, expertise, and a relentless pursuit of progress. We believe that the diversity of experiences, perspectives, and passions enriches our collective journey toward a brighter future. We welcome candidates who may not meet every qualification but share our vision for making a difference. The Role We are looking for a skilled Generative AI Architect to join our team. This role demands in-depth knowledge of Generative AI frameworks such as OpenAI, Azure OpenAI, LangChain, LangGraph, and Copilot Studio, as well as experience with AI platforms. Key Responsibilities: Design and implement comprehensive Generative AI and Agentic AI architectures for enterprise clients. Lead technical execution using Azure OpenAI, LangGraph, or Copilot Studio. Develop reusable frameworks, prompt orchestration patterns, and RAG pipelines. Ensure adherence to security, privacy, and Responsible AI standards. Optimize AI observability, cost, and performance tuning. Collaborate with data, cloud, and business teams to identify AI use cases. Mentor engineering teams and contribute to practice accelerators and reference solutions. Assist in presales, client demonstrations, and proposal development with architectural insights. Join us on this exciting journey to innovate and transform the digital landscape!

Role overview Euromonitor International seeks an AI Knowledge Architect based in Bengaluru, Karnataka. The main focus of this position is to improve how information is managed and used within the company. The role involves applying advanced AI technologies to strengthen knowledge management systems, aiming to make insights and analytics more accessible for clients. What you will do Collaborate with teams from various departments to design and build AI-driven solutions Improve the ways information is discovered, shared, and connected across the organization Promote better data integration and support knowledge sharing throughout the company

Roles & Responsibilities:As a Technical Specialist/Architect in AI, you will be at the forefront of designing and applying advanced AI technologies to various use cases within the Software Engineering domain. Collaborating closely with fellow architects, you will contribute to the comprehensive solution design.Key Responsibilities:Demonstrate a profound understanding of the Generative AI technology stack.Identify and select appropriate frameworks and tools for designing AI/Generative AI solutions.Implement specific use cases and modules within the Generative AI technology framework.Conduct system design and code reviews to ensure adherence to quality standards and guidelines throughout the software engineering lifecycle.Possess sound knowledge of the Software Development Life Cycle (SDLC) and agile methodologies; experience in the automotive domain is preferred but not mandatory.Collaborate with team members to define overall solution architecture requirements.Maintain sensitivity to intellectual property (IP) and open-source regulations, ensuring team compliance.

Job Title: Senior AI ML Data Engineer for ADAS Backend Development with AzureWe are seeking a skilled Python Lead with extensive experience in Azure Cloud to oversee data-in-the-loop operations, emphasizing data traceability and sequencing.Key Responsibilities:Prioritize project requirements in alignment with stakeholder expectations. Design, develop, and maintain high-quality Python code, with a primary focus on FastAPI for API development.Manage API deployment and operations on Azure Cloud, utilizing Docker and Kubernetes for effective containerization and orchestration.Implement Infrastructure as Code (IaC) using Terraform to ensure scalable and maintainable cloud infrastructure. Collaborate with cross-functional teams to define project requirements and architecture.Conduct thorough code reviews, offer technical guidance, and mentor team members to promote continuous improvement.Uphold best practices in software development, including rigorous testing, comprehensive documentation, and effective version control.Troubleshoot and resolve complex technical challenges to ensure system reliability and performance.

Join Abstrabitte Technologies Pvt Ltd as a Senior AI/ML Engineer, where you will play a pivotal role in developing cutting-edge machine learning models and artificial intelligence solutions. You will collaborate with a talented team of engineers and data scientists to innovate and deliver impactful AI applications.

Join gsstech-group as a Senior Data Engineer within our dynamic Data Engineering chapter in the Technology Platform domain. We seek a talented individual with a robust background in real-time data streaming, contemporary data platforms, and the operationalization of AI/ML technologies (AIOps, MLOps, LLMOps).In this pivotal role, you will design, build, and optimize scalable data pipelines that empower advanced analytics and AI-driven solutions.

Job Overview:T-Systems Information and Communication Technology India is on the lookout for an innovative AI Architect to spearhead the design, development, and implementation of sophisticated AI systems. This includes the Multi-Component Platform (MCP) server and client frameworks, chat orchestration architectures, and leading-edge agentic AI solutions that prioritize Data Governance.The ideal candidate will possess extensive knowledge in AI system architecture, multi-agent coordination, and scalable infrastructure, aimed at facilitating the next generation of intelligent applications.Main Responsibilities:Lead the architecture and development of autonomous AI chat systems capable of efficiently executing tasks and delivering relevant responses.Design and implement MCP server and client architectures ensuring optimal performance, scalability, and reliability.Architect and develop advanced chat orchestration systems that support seamless multi-turn conversations with contextual awareness and dynamic intent management.Leverage Azure Stack services such as Azure Machine Learning, Azure Cognitive Services, and Azure Kubernetes Service for deploying and scaling AI models.Drive the design and development of agentic AI models that empower autonomous decision-making agents capable of collaboration, negotiation, and adaptation.Create frameworks and protocols for multi-agent AI coordination and communication to facilitate complex workflows and emergent behaviors.Work closely with cross-functional teams, including data scientists, machine learning engineers, data engineers, and product managers, to integrate AI solutions into production environments.Establish technical roadmaps, architectural standards, and best practices for AI system development.Continuously assess new AI technologies and frameworks to enhance system capabilities.Prioritize system security, data privacy, and compliance with applicable regulations.Diagnose and optimize AI models and infrastructure focusing on latency, throughput, and resource efficiency.

FEQ227R52 As a Solutions Architect specializing in Analytics, AI, Big Data, and Public Cloud, you will play a pivotal role in guiding the technical evaluation phase within a dynamic sales environment. Serving as a technical advisor to the sales team, you will collaborate closely with the product team as a strong advocate for customers in the field. Your mission will be to empower our customers to achieve significant, data-driven outcomes through the innovative use of our Databricks Lakehouse Platform, assisting data teams in completing projects and seamlessly integrating our platform into their enterprise ecosystems. This role presents an opportunity for you to grow as a leader in the industry, addressing our customers' most pressing challenges in big data, analytics, data engineering, and data science.

Join neuraflash as a Salesforce Technical Architect specializing in AI and Agentforce. In this key role, you will leverage your expertise to design, develop, and implement advanced Salesforce solutions that integrate AI technologies, enhancing business processes and delivering exceptional customer experiences.

We are looking for a seasoned Lead Architect – AI Enablement & Automation (.NET) to spearhead the AI transformation within our client’s engineering organization.This role merges enterprise-level architectural leadership with hands-on AI automation execution.The architect will focus on two strategic areas:Enablement – Build scalable AI frameworks that empower .NET engineering and QA teams.Automation – Create and implement production-ready AI-driven workflows that address significant business challenges.Key Responsibilities1. Enablement Pillar – Promoting AI Integration Across EngineeringEnterprise AI ArchitectureDefine and establish architectural guidelines for AI integration within .NET 8/Core microservices.Set standards for secure, scalable, and cost-effective AI utilization.Shared AI InfrastructureDesign and implement a Common AI Service Layer utilizing frameworks like Semantic Kernel or LangChain.NET.Develop centralized features including:Authentication & secure API accessRate limiting & throttlingCost tracking & observabilityModel routing & fallback strategiesDeveloper AccelerationCreate reusable NuGet packages, SDKs, and frameworks to streamline AI integration.Develop project templates and CI/CD pipelines to facilitate the deployment of AI-enabled components.Integrate AI best practices into engineering workflows.Upskilling & MentorshipLead a Community of Practice (CoP) focused on AI integration.Mentor C# engineers in:Vector search techniquesPrompt engineering principlesRAG patternsLLM orchestration & tool usageEstablish technical governance and AI engineering standards.2. Automation Pillar – Proven AI Delivery at ScaleAgentic Workflow DesignArchitect and implement multi-agent systems that can:Execute intricate business logicInterface with legacy systems and databasesPerform autonomous task orchestrationProduction-Grade RAG ImplementationDevelop sophisticated Retrieval-Augmented Generation (RAG) systems utilizing:Hybrid Search (Vector + Keyword)Semantic re-rankingData chunking & partitioning techniquesEnsure high-accuracy AI-driven support and automation systems.

Eram Talent, a premier talent acquisition firm, is seeking a talented Data & AI Architect to enhance our team in Saudi Arabia. In this pivotal role, the Data & AI Architect will design and implement innovative data-driven solutions that utilize advanced analytics and artificial intelligence to facilitate business decisions across various projects in the region.The ideal candidate will possess extensive knowledge in data architecture, data modeling, and AI/ML technologies. You will work closely with cross-functional teams to ensure a robust, scalable data architecture that aligns with business strategies. This position presents a thrilling opportunity to innovate and influence the future of data utilization within organizations.Key ResponsibilitiesLead the development of enterprise data architecture and expand it to incorporate AI and MLOps capabilities to support trustworthy analytics and scalable AI delivery.Formulate and execute a comprehensive data architecture strategy that aligns with business objectives and AI initiatives.Create data models, database structures, and data flow processes to guarantee data integrity, accessibility, and security.Design and supervise the deployment of advanced analytics solutions, including machine learning models and algorithms.Collaborate with data engineering and data science teams to ensure the efficiency of data pipelines in line with AI/ML requirements.Establish best practices for data governance, quality, and lifecycle management.Assist in the selection and implementation of data management tools and technologies.Engage with stakeholders to comprehend their data needs and ensure that data solutions deliver maximum business impact.Stay updated on trends in the data and AI landscape, adjusting strategies as necessary to foster continuous improvement and innovation.