Data Engineer for Azure Cloud Platform

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.

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.

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.

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.

Join our dynamic team at minderacraft as a Senior Java Backend Developer focused on Azure Integration. We are looking for a highly skilled individual with extensive experience in developing cloud-native backend systems and enterprise integrations utilizing Azure Logic Apps and various Azure services. This position requires a strong foundation in core Java engineering combined with expertise in event-driven and API-based integration design within the Microsoft Azure environment. You will collaborate closely with architects, integration engineers, and product teams to architect, develop, and maintain scalable backend and integration solutions.

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.

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 Betsol as an Azure Data Engineer, where you will play a crucial role in designing, implementing, and maintaining data solutions on the Azure cloud platform. Your expertise will help drive our data strategy and ensure that our data architecture supports our business goals.

OutcomesAI is at the forefront of healthcare technology, crafting an innovative AI-enabled nursing platform designed to empower clinical teams, streamline routine workflows, and expand nursing capacity safely. Our platform uniquely integrates AI voice agents with licensed nurses to enhance patient communication, symptom triage, remote monitoring, and post-acute care, significantly alleviating administrative burdens and allowing clinicians to concentrate on providing exceptional patient care.Our flagship product offerings include:● Glia Voice Agents – advanced multimodal conversational agents that expertly manage patient calls, triage symptoms using evidence-based protocols, schedule appointments, and provide education and follow-up care.● Glia Productivity Agents – intelligent AI copilots for nurses that automate charting, scribing, and clinical decision support by seamlessly integrating into EHR systems like Epic and Athena.● AI-Enabled Nursing Services – a hybrid care delivery model where AI collaborates with licensed nurses to provide virtual triage, remote patient monitoring, and specialized support programs in areas such as oncology, dementia, and dialysis.Our robust AI infrastructure harnesses multimodal foundation models encompassing speech recognition (ASR), natural language understanding, and text-to-speech (TTS), all meticulously fine-tuned for healthcare settings to prioritize safety, empathy, and clinical precision. All operations are conducted within a HIPAA-compliant and SOC 2-certified environment. Collaborating with leading health systems and virtual care organizations, OutcomesAI deploys and validates these capabilities at scale. We strive to create the world’s first AI + nurse hybrid workforce, revolutionizing access, safety, and efficiency across the continuum of care.As a Backend / ML-Ops Engineer, you will be responsible for managing the infrastructure and pipelines necessary for integrating trained ASR/TTS/Speech-LLM models into production. Your focus will be on scalable serving, GPU optimization, monitoring, and the continuous enhancement of inference latency and reliability.

Join our dynamic team as an Azure Big Data Engineer at Bosch Group in Bengaluru. In this role, you will be responsible for designing, implementing, and maintaining big data solutions using Azure technologies. You will work closely with data scientists and analysts to ensure data is accessible, reliable, and secure. Your contribution will aid in driving data-driven decisions across the organization.

Join the team as an Azure Data Engineer for one of Weekday's esteemed clients!With a minimum of 3 years of experience, you will play a pivotal role in designing, constructing, and managing scalable data solutions on Microsoft Azure.As an Azure Data Engineer, you will develop and optimize data pipelines and workflows to bolster business intelligence, analytics, and data science initiatives. Your expertise in Azure-native tools and services will ensure the delivery of robust, secure, and high-performance data solutions.Key responsibilities include building and maintaining ETL/ELT pipelines using Azure Data Factory, enabling efficient data ingestion from diverse structured and unstructured sources. You will utilize Azure Data Lake Storage and Azure Blob Storage for managing extensive datasets while ensuring data organization and governance.Furthermore, you will leverage Azure Synapse Analytics or Azure SQL Database to transform and model data for downstream applications. Collaborating closely with data analysts, scientists, and cross-functional teams, you will address business requirements and deliver dependable data solutions.In this role, maintaining data quality, integrity, and security through best practices and governance policies will be essential. Monitoring, troubleshooting data pipelines, optimizing performance, and ensuring high availability will be integral to your tasks.

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 UsAt Rox, our mission is to empower individuals to excel in their work.Our innovative platform equips sellers with autonomous revenue agents, allowing them to concentrate on what they excel at: selling. Just as coding agents transformed engineering, our revenue agents revolutionize customer interactions.We are pioneering the revenue stack by developing the world’s first revenue operating system, covering everything from the application layer to the context system. With Rox, humans transition to orchestration roles while agents handle the complete customer lifecycle.Rox serves Global 2000 leaders across banking, hardware, construction, and advanced AI sectors, while also supporting top-tier AI innovators such as Ramp and Cognition.Our success is grounded in a shared belief in our mission, paired with an unwavering dedication to making it a reality.The TeamOur world-class team is the driving force behind our mission to redefine business operations.Our team members have:Founded and successfully exited companiesHeld top positions at Google, AWS, Confluent, and New RelicAchieved gold medals in IMO and IOIPublished groundbreaking research papersWe have raised $50M from esteemed investors, including Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.Core PrinciplesTaste: Craft beautiful experiences.We strive for perfection in every detail, ensuring that every interaction aids sellers in their tasks and enhances their experience. We are committed to continuous improvement and innovation.Obsession: Commit unreasonably.Our commitment to our craft is unwavering. We proactively drive value and are dedicated to learning and improving our services daily.Action: Get it done.Execution is key. We prioritize thoughtful yet prompt decision-making and swift delivery, building trust through our actions.

Role overview Consuma is looking for a Senior Backend Engineer to join as a founding team member in Bengaluru. This role centers on designing and scaling distributed infrastructure that powers AI and data products. The work involves building backend systems capable of handling high volumes of data and supporting advanced solutions. What you will do Create backend architecture for distributed, high-throughput systems Scale infrastructure to enable AI and data-driven product features Shape technical decisions and direction as part of the early engineering team Location This position is based in Bengaluru, Karnātaka, India.

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.

Join Acceldata and transform how organizations observe their data!As a trailblazer in data observability, Acceldata is reshaping the way enterprises monitor and manage their data. Our innovative platform provides deep insights into critical data elements, pipelines, and infrastructure, empowering data teams to enhance product efficacy, ensure data quality, mitigate failures, and optimize costs.Role Overview: Senior Software EngineerIn this role, you will play a crucial part in developing, scaling, and sustaining the core functionalities of our Data Observability suite. Collaborating closely with frontend and product teams, you will help create a robust and scalable platform.Daily Responsibilities: - Design, build, and enhance key product features. - Investigate software-related issues and implement adjustments for optimal performance. - Dive deep into open-source data engines, optimizing their performance. - Create and maintain low-latency APIs. - Develop services for frontend and solution engineers. - Participate in team meetings to discuss projects and brainstorm solutions.Ideal Candidate: - 4-8 years of experience with JVM languages (Java, Scala, Kotlin). - Solid understanding of data structures, algorithm design, and problem-solving skills. - Familiarity with database systems including RDBMS, MongoDB, and Elastic Search. - Experience with cloud technologies. - Knowledge of distributed systems and SQL.Desirable Qualifications: - Experience with Spark and Kafka. - Background in Data Quality or Data Catalog is a plus.

Senior Backend Software EngineerBengaluru, India About Ambient.ai Ambient.ai builds an agentic physical security platform focused on preventing incidents and improving physical security operations. Our technology helps enterprises reduce risk, streamline operations, and gain actionable insights. Seven of the top 10 U.S. technology companies and many Fortune 500 firms trust Ambient.ai to protect people, places, and assets. The platform uses advanced AI to connect with existing cameras and sensors, enabling real-time monitoring and proactive threat detection. By reducing false alarms by over 95%, Ambient.ai allows security teams to focus on real threats and prevent incidents before they escalate. Founded in 2017, Ambient.ai is a Series B company backed by Andreessen Horowitz, Y Combinator, and Allegion Ventures. Our mission: make every security incident preventable. Recently, Ambient.ai was ranked #71 on the Forbes Best Startup Employers List. Learn more about us on LinkedIn and YouTube. Role Overview Ambient.ai is building its India Technology Engineering division in Bengaluru. Reporting to Kiran Palan and Vikesh Khanna, this role will shape the core platform and strengthen security engineering, while helping establish the India Technology Centre. What You Will Do Design and build REST and GraphQL APIs Develop highly available, low-latency, fault-tolerant microservices Create core infrastructure for large-scale video streaming data processing Improve backend service performance, reliability, and scalability Lead the development of complex platform features from concept to deployment

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 the Bosch Group as a Lead Python Developer specializing in Azure and Data Management. In this pivotal role, you will lead a team of talented developers, architecting and implementing innovative data solutions on the Azure platform. Your expertise will drive data management strategies that enhance business operations and deliver impactful insights.