1262 Drift Jobs - Page 5

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Good to have skills : Microsoft Azure Machine Learning Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary ML Engineer : Build features across Agentic, LLM and ML workflows including suggestion/rules components, search & retrieval, docume...

Location: Visakhapatnam / Remote Employment Type : Full-time Compensation : As per industry standards NOTE: Filling out the form below is mandatory to be considered for the role: https://forms.gle/AL21dSCXQeBFwFSG8 About the Role We are looking for a versatile Software Engineer with expertise in AI/ML who can build robust applications, design scalable systems, and integrate machine learning models into production environments. This role is ideal for someone who enjoys working across the full engineering stack — from backend services and APIs to ML pipelines and deployment. Key Responsibilities Software Engineering ● Design, develop, and maintain high-quality backend services and APIs. ● Writ...

Company Description At Fusion Technologies, we deliver high-quality and profitable solutions in the mobile and IT accessories industry. As a manufacturer and distributor, we offer cutting-edge products, exclusive brand collaborations, and scalable growth opportunities. Our in-house brand, Drift, provides modern, durable, and functional laptop bags and storage solutions for professionals, students, and travelers. We are authorized distributors for renowned brands like Uniq, Skech, Muvtech, and Black i Mobile, offering premium mobile accessories. Our comprehensive product portfolio and reliable supply chain support business growth through high-margin, fast-moving products and strategic sales a...

Job Description We are seeking a highly skilled AI/ML Domain Architect to design, deploy, and operationalize advanced AI/ML solutions with a focus on MLOps, Generative AI (GenAI), LLM Ops, and Agentic AI integration. This role requires deep expertise in ML engineering practices, cloud-native deployment, and hands-on experience with modern AI platforms. The engineer will be responsible for building scalable ML pipelines, LLM-based applications, and intelligent agent frameworks to accelerate delivery for telecom, enterprise, and next-generation autonomous network solutions. How You Will Contribute And What You Will Learn Design, optimize, and scale end-to-end ML pipelines using ML-Ops best pra...

Key Responsibilities Design and manage AWS infrastructure (VPC, EC2, ECS/EKS, S3, IAM, Lambda, Step Functions, CloudFormation/Terraform). Build and maintain CI/CD pipelines for AI/ML models, data pipelines, and applications. Implement MLOps practices (versioning, automated training, testing, deployment, and monitoring of ML models). Work with AWS SageMaker for model training, deployment, monitoring, and drift detection. Automate data and ML workflows using tools like Airflow, Step Functions, or Kubeflow. Enable observability and monitoring with CloudWatch, Prometheus, Grafana, or similar tools. Required Skills & Qualifications 4–8 years of experience in DevOps, Cloud Engineering, or MLOps (d...

Senior/Staff Software Engineer - AI‑Accelerated Belief: We believe modern AI tools exponentially compound the output of the very best engineers. Our bar is intentionally high: we hire exceptional builders and give them an AI multiplier. The Role Own end‑to‑end delivery of production systems in an AI‑first environment. You’ll turn fuzzy problems into tight specs, orchestrate AI coding tools as collaborators, and ship reliable, secure, observable software that users love. What You’ll Do Frame problems & write crisp specs with clear acceptance criteria, non‑goals, and performance/cost/privacy constraints. Use AI coding tools as force multipliers (generate, refactor, review) while you own archit...

Work Flexibility: Hybrid What You Will Do: Design, build, and maintain end-to-end MLOps pipelines for ML model training, testing, and deployment. Collaborate with Data Scientists to productionize ML models in Azure ML and Azure Databricks. Implement CI/CD pipelines for ML workflows using Azure DevOps, GitHub Actions, or Jenkins. Automate infrastructure provisioning using IaC tools (Terraform, ARM templates, or Bicep). Monitor and manage deployed models using Azure Monitor, Application Insights, and MLflow. Implement best practices in model versioning, model registry, experiment tracking, and artifact management. Ensure security, compliance, and cost optimization of ML solutions deployed on A...

Description We’re building Orbital , an industrial AI system that lives inside refineries and upstream assets, serving real-time insights to operators, technologists, and engineers. As a Forward Deployed Full Stack Engineer , you’ll make Orbital usable on the ground: building interfaces, APIs, and integration layers that bring AI outputs directly into operational workflows. This isn’t a typical web dev role. You’ll work across back-end services, APIs, and industrial integrations , while also shaping front-end interfaces that can survive operator control rooms and engineering workflows. You’ll be customer-facing: working directly with site teams, adapting features in real time, and making sur...

Essential Duties Include, but are not limited to, the following: Own productionizing models—from tracked experiments to governed releases—ensuring resilient services with clear SLOs, runbooks, and fast, safe rollbacks. Build automation-first delivery: reproducible builds, layered tests, and environment promotion via GitLab CI and Terraform-based IaC. Engineer scalable serving: batch and real-time inference on EKS/ECS/Lambda and Databricks Model Serving with probes, autoscaling, and canary/blue-green deployments. Instrument end-to-end observability (data, model, system); detect drift/regressions; lead incidents and post-mortems that drive durable fixes. Partner across teams to translate requi...

About AiSensy AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco, Wipro, Asian Paints, India Today Group, Skullcandy, Vivo, Physicswallah, and Cosco grow their revenues via WhatsApp. Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing 400 Crores+ WhatsApp Messages exchanged between Businesses and Users via AiSensy per year Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more High Impact as Businesses drive 25-80% Revenues using AiSensy Platform Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors ...

DevOps/MLOps engineer to manage infrastructure and pipelines for scalable AI agent operations. Experience Level: 5+ years JD Automate CI/CD pipelines for agent lifecycle. Manage infrastructure via Terraform, GKE, Cloud Build. Implement MLOps with Vertex AI Pipelines, MLFlow. Monitor performance and deploy observability tools. Ensure secure A2A communication and service mesh. Collaborate on privacy and compliance practices. Expert in GCP: Vertex AI, GKE, BigQuery, Pub/Sub. Experience with Docker, Kubernetes. Familiar with Kubeflow, Airflow, ML pipeline tools. Observability tools: Prometheus, Grafana, Stackdriver. Understanding of model versioning and drift.

Overview We are seeking a highly skilled and proactive AI Solutions SRE Lead to oversee the maintenance, optimization, and ongoing performance of deployed AI/ML systems and solutions. In this role, you'll act as the bridge between innovation and operations, ensuring our AI solutions consistently deliver value and operate seamlessly in real-world environments. You will lead efforts to monitor deployments, troubleshoot issues, and define best practices for sustaining AI systems throughout their lifecycle. Responsibilities Monitoring & Sustenance: Lead the post-deployment lifecycle of AI solutions, ensuring continued functionality, reliability, and scalability. Establish monitoring frameworks t...

We are looking to onboard a candidate who can support our team in conducting in-depth code reviews for AI/ML models developed using open-source frameworks. The candidate should work closely with our team, reviewing their code regularly, improving code quality, and advising on best practices for model development and deployment. We need an onsite candidate in Hyderabad with the following skills: Strong proficiency in Python Expertise in Machine Learning and Deep Learning Hands-on experience with TensorFlow, PyTorch, and other open-source Al libraries Familiarity with model explainability, fairness, and bias detection Experience in reviewing and optimizing model pipelines and training loops So...

Job Requisition ID # 25WD85491 Position Overview We are looking for an experienced Principal Software Engineer to join our platform team focusing on AI/ML Platform (AMP). This team builds and maintains central components to fast track the development of new ML/AI models such as model development studio, feature store, model serving and model observability. The ideal candidate would have a background in ML Ops, Data engineering and DevOps with the experience of building high scale deployment architectures and observability. As an important contributor to our engineering team, you will help shape the future of our AI/ML capabilities, delivering solutions that inspire value for our organization...

Job DescriptionInfiligence is a US- and India-based technology innovator with offices in Chennai and California. We lead in platform engineering, DevSecOps, and AI-driven modernization for highly regulated and dynamic industries. Role Overview We are seeking an experienced AI Platform Engineer to design, build, deploy, and maintain cutting-edge AI/ML solutions on Azure. This role is vital in advancing automation, intelligent insights, compliance, and document/training analysis for our customers. Key Responsibilities Design and implement robust AI pipelines for workflows such as Document Lifecycle, CAPA, Deviations, Training Evaluation, and Risk Prediction. Train, fine-tune, and deploy ML/DL ...

Summary We are seeking an AI Operations Lead to oversee the smooth delivery, support, and continuous improvement of AI/ML and GenAI services and solutions across the Durg Development. This role is responsible for establishing scalable operating models, ensuring service reliability, managing risks, and driving adoption of AI platforms and applications. The ideal candidate combines deep knowledge of IT service management (ITSM) with experience in AI/ML/ Gen AI / Automation lifecycle operations, ensuring that AI services are compliant, efficient, and aligned with business outcomes. About the Role Position Title: Assoc. Dir. DDIT DEV DATA ANALYTICS DSAI (Data Science and AI) Location – Hyd-India...

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Ge...

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Ge...

A Little About Us UniCourt is a leader in making court data more accessible and useful with our Legal Data as a Service (LDaaS). We provide real-time access to court data through our APIs and online app for business development and intelligence, litigation analytics, litigation tracking, case research, investigations, background checks, due diligence, compliance, underwriting, machine learning models, and process automation. We provide access to court data from state and federal courts to a diverse list of clients, including Fortune 500 companies and AmLaw firms and industries such as legal, insurance, finance, investigations, government, education, nonprofits, and consumers. UniCourt is a l...

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Ge...

DESCRIPTION AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Global Services includes experts from across AWS who help our customers design, build, operate, and secure their cloud environments. Customers innovate with AWS Professional Services, upskill with AWS Training and Certification, optimize with AWS Support and Managed Services, and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners, AWS Sovereign Cloud, AWS International Product, and the Ge...

Active Directory Fundamentals In-depth understanding of: DC Locator process Kerberos authentication process NTLM authentication process AD replication and its components (High Watermark, UTC Table, Invocation ID, GUID, etc.) Group Policy components and Group Policy Engine AD trusts and their usage AD security concepts Migration and Transition (DC, DHCP & DNS) Hands-on experience with transition and migration-related activities End-to-end knowledge of Domain Controller upgrade process Troubleshooting Skills Strong troubleshooting skills in: Kerberos NTLM Time sync Lingering objects Replication issues Directory Services Proficient in: LDAP Global Catalog SPNs Scripting and Automation Good comm...

Experience: 7–11 Years Location: Bengaluru Type: Permanent Job Description Role: Senior Infrastructure Automation Engineer – Zero-Touch GPU Cloud Build & Upgrade We are seeking a Senior Infrastructure Automation Engineer with 10 years of hands-on experience in building and scaling infrastructure automation systems to lead the design and implementation of a Zero-Touch Build, Upgrade, and Certification framework for our on-prem GPU cloud environment. This role demands deep technical expertise across bare-metal provisioning, configuration management, and full-stack automation — from hardware to Kubernetes — built entirely on GitOps principles . Key Responsibilities Architect, lead, and implemen...

Experience: 7–11 Years Location: Bengaluru Type: Permanent Job Description Role: Senior Infrastructure Automation Engineer – Zero-Touch GPU Cloud Build & Upgrade We are seeking a Senior Infrastructure Automation Engineer with 10 years of hands-on experience in building and scaling infrastructure automation systems to lead the design and implementation of a Zero-Touch Build, Upgrade, and Certification framework for our on-prem GPU cloud environment. This role demands deep technical expertise across bare-metal provisioning, configuration management, and full-stack automation — from hardware to Kubernetes — built entirely on GitOps principles . Key Responsibilities Architect, lead, and implemen...

Experience: 7–11 Years Location: Bengaluru Type: Permanent Job Description Role: Senior Infrastructure Automation Engineer – Zero-Touch GPU Cloud Build & Upgrade We are seeking a Senior Infrastructure Automation Engineer with 10 years of hands-on experience in building and scaling infrastructure automation systems to lead the design and implementation of a Zero-Touch Build, Upgrade, and Certification framework for our on-prem GPU cloud environment. This role demands deep technical expertise across bare-metal provisioning, configuration management, and full-stack automation — from hardware to Kubernetes — built entirely on GitOps principles . Key Responsibilities Architect, lead, and implemen...