2003 Drift Jobs - Page 12

This role is for one of the Weekday's clients Min Experience: 5 years JobType: full-time We are seeking a Senior Data Engineer (ML Platform) to help design and build a no-code interface that enables users to develop predictive models for complex supply chain challenges. In this role, you will work closely with platform and data science teams to orchestrate end-to-end workflows for supervised learning and time-series forecasting, ensuring a seamless and high-performance user experience. Requirements Why This Role Now: The ML workspaces are being re-architected to efficiently manage large-scale data volumes while optimizing both system throughput and predictive performance. This involves enhan...

Experience - 5 + Location - Remote Responsibilities :Design, implement, and manage scalable cloud-based AI/ML infrastructure across Azure and AWS .Drive end-to-end MLOps lifecycle model deployment, monitoring, retraining, and governance .Enable GenAI and Agentic AI platforms leveraging Azure OpenAI, Bedrock, Anthropic Claude, LangChain, etc .Implement CI/CD pipelines using Azure DevOps or AWS CodePipeline .Ensure security, observability, and compliance across ML and GenAI ecosystems .Manage infrastructure automation via Terraform, Bicep, CloudFormation, or similar IaC tools .Collaborate with data science and engineering teams to optimise ML workflows, data pipelines, and API integrations .Im...

Position Title: ML Ops Engineer 4 Complete onsite . Full-Time role Shift Timings: 10-7 pm /11-8 pm /12-9 pm Address: Spire T110, Hyderabad Knowledge City, Madhapur, Hyderabad, Telangana, India, 500081. Job Description: Roles & Responsibilities: Define the long-term vision and strategy for MLOps initiatives: Set the direction for the organization’s MLOps, model deployment, and monitoring practices. Lead and manage a team of MLOps engineers: Provide technical guidance, mentorship, and career development for team members. Identify and explore cutting-edge research areas and technologies: Stay abreast of the latest advancements in MLOps, model serving, and AI operations. Drive innovation and the...

Position DevSecOps Engineer (MLOps / AIOps) Responsibilities Job Description: Lead the foundational setup of the organization's MLOps and AIOps functions — including architecture, tooling, governance, and workflows — aligned with business and data strategy. Define and implement the MLOps roadmap: identify key use cases, standardize model development lifecycle, and architect scalable pipelines using AWS-native services. Establish the AIOps practice by implementing observability, automated incident response, and intelligent monitoring using Amazon CloudWatch, DevOps Guru, AWS X-Ray, and other tools. Select and integrate appropriate AWS services (e.g., SageMaker, Bedrock, Lambda, Glue, CodePipe...

Role: MLOps Engineer Exp: 6 to 12 years Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a mode...

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...

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud ...

Experience : 3.00 + years Salary : INR 1600000-2000000 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: SenseCloud) (*Note: This is a requirement for one of Uplers' client - A Seed-Funded B2B SaaS Company – Procurement Analytics) What do you need for this opportunity? Must have skills required: open-source, Palantir, privacy techniques, rag, Snowflake, LangChain, LLM, MLOps, AWS, Docker, Python A Seed-Funded B2B SaaS Company – Procurement Analytics is Looking for: Join the Team Revolutionizing Procurement Analytics at SenseCloud ...

Job Title: Senior Data Scientist Location: Hyderabad- (No Hybrid/ Work from Home available) Qualification: Master’s degree in data science, Statistics, Computer Science, or related field Experience: 3 - 8 Years in data science, model validation, and applied machine learning and experience leading junior data scientists Mandatory Skills: AI/ML Python SQL ML Framwork Snowflake AWS/Azure/GCP Customer 360 Churn Prediction GUI Integration Communication skills: Excellent communication skills with the ability to engage with international clients Budget: 25 – 40 LPA Notice period: Max 30 days Working days: This is 5 days’ work from office role- (No Hybrid/ Work from Home available) Interview Rounds:...

Summary: The role covers running and transforming company’s cloud environments across AWS, Azure, GCP, and OCI. This includes provisioning, access management, logging, and day-to-day operational governance. Security Posture Maturity - A key driver for the project is to strengthen security posture across all cloud platforms: Continuous monitoring of environments. Responsibilities: Identifying and prioritizing vulnerabilities (CVEs, IAM gaps, compliance drift). Enforcing standardized configurations and policies (e.g., Golden Images) Vulnerability & Risk Management Proactive patching and remediation of vulnerabilities. Investigating incidents, performing root cause analysis, and preventing recu...

Job Description: We are seeking a highly skilled and motivated AI Engineer with expertise in large language models (LLMs), AI workflows, and machine learning. This role combines deep technical knowledge in ML/AI with hands-on experience building intelligent, production-ready systems that enhance cybersecurity investigation, prioritization, and response. You will work at the intersection of LLM-driven automation, workflow orchestration, and classical ML models to improve how alerts are prioritized, classified, and contextualized—reducing fatigue and enabling faster, more effective decision-making. Your work will directly influence the development of agentic AI systems, workflow automation, an...

Role Overview We are looking for an experienced MLOps Lead with deep expertise in Azure and AWS cloud ecosystems , who can design, deploy, and manage scalable AI/ML infrastructure. The ideal candidate should bring a strong background in cloud governance, GenAI tooling, automation, and CI/CD pipelines , with hands-on experience across modern MLOps frameworks. Key Responsibilities Design, implement, and manage scalable cloud-based AI/ML infrastructure across Azure and AWS . Drive end-to-end MLOps lifecycle — model deployment, monitoring, retraining, and governance. Enable GenAI and Agentic AI platforms leveraging Azure OpenAI, Bedrock, Anthropic Claude, LangChain, etc. Implement CI/CD pipeline...

Bharat Atomic exists to build India's first commercial Scanning Electron Microscope (SEM) and, through it, the technical foundations of a domestic semiconductor-equipment ecosystem. We are designing and manufacturing a Field Emission SEM for sub-nanometer imaging - this will be one of the first high-tech analytical instrument built in the country. You will own the complete mechanical design and all computer-aided design work. This is an instrumentation engineering position requiring precision, vacuum, and integration experience. Responsibilities Produce complete computer-aided design assemblies, manufacturing drawings, and bill of materials with clear tolerances. Control vibration, drift, an...

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. At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to help our customers develop technical expertise and capacity, while also collaborating with our customers and partners on key engagements. Our consultants will deliver Pilot projects, topical workshops, and lead implementation projects. Professional Services engage in a wide variety of projects for customers, providing collective experience from across the AWS custome...

Company Overview NetCom Learning is a leading provider of innovative learning solutions, delivering comprehensive education services and training programs to a diverse clientele. We are dedicated to transforming professional skills and empowering organizations through tailored educational offerings. Key Responsibilities Utilize Drift to design, implement, and manage conversational marketing strategies, including chatbots, live chat flows, and Drift playbooks to drive demand generation and enhance the customer experience. Develop and execute WhatsApp and SMS marketing campaigns, integrating them into the overall marketing strategy to engage leads and drive conversions effectively. Build, exec...

Role: MLOps Engineer Exp: 6 to 12 years Key Words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps maturity in the organization. Proactively introduce a moder...

Key Responsibilities: Design, build, and maintain CI/CD pipelines for ML model training, validation, and deployment Automate and optimize ML workflows, including data ingestion, feature engineering, model training, and monitoring Deploy, monitor, and manage LLMs and other ML models in production (on-premises and/or cloud) Implement model versioning, reproducibility, and governance best practices Collaborate with data scientists, ML engineers, and software engineers to streamline end-to-end ML lifecycle Ensure security, compliance, and scalability of ML/LLM infrastructure Troubleshoot and resolve issues related to ML model deployment and serving Evaluate and integrate new MLOps/LLMOps tools a...

Key Responsibilities: Design, build, and maintain CI/CD pipelines for ML model training, validation, and deployment Automate and optimize ML workflows, including data ingestion, feature engineering, model training, and monitoring Deploy, monitor, and manage LLMs and other ML models in production (on-premises and/or cloud) Implement model versioning, reproducibility, and governance best practices Collaborate with data scientists, ML engineers, and software engineers to streamline end-to-end ML lifecycle Ensure security, compliance, and scalability of ML/LLM infrastructure Troubleshoot and resolve issues related to ML model deployment and serving Evaluate and integrate new MLOps/LLMOps tools a...

About Xenonstack XenonStack is the fastest-growing Data and AI Foundry for Agentic Systems , enabling enterprises to gain real-time and intelligent business insights . We Deliver Innovation Through Agentic Systems for AI Agents → akira.ai Vision AI Platform → xenonstack.ai Inference AI Infrastructure for Agentic Systems → nexastack.ai Our mission is to accelerate the world’s transition to AI + Human Intelligence by making AI agents reliable, explainable, and enterprise-ready . THE OPPORTUNITY We are seeking an LLM Reliability & Evaluation Engineer to ensure that large language models (LLMs) and agentic AI systems meet enterprise-grade standards of accuracy, safety, and trustworthiness . This...

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...

Vill du påverka och göra skillnad på riktigt? Här bidrar du till att skapa trygghet för människor och samhällen. Det du gör spelar roll. Din roll Vill du arbeta med flera delar inom cyberområdet? Hos oss får du chansen att var en del av helheten och lite spindeln i nätet då vi har en bredd i teknik och kontaktytor som är utöver det vanliga. Affärsenheten Underwater Systems tillhandahåller både militära och civila produkter som ger förmågor både över och under vattenytan. Mångsidighet, flexibilitet och hög tillgänglighet är egenskaper som karakteriserar samtliga våra produkter. Hos oss arbetar man med daglig problemlösning i en miljö som främjar möjligheter på ett prestigelöst och informellt ...

5+ years of experience in platform engineering, with a proven track record of designing, deploying, and managing scalable and secure cloud-based infrastructures, leveraging both Azure and AWS services.  Experience with Azure services such as Azure AI services, Azure Search, Azure ML, Databricks, Azure Kubernetes Service, and AWS services like AWS SageMaker, AWS Bedrock and AWS Lambda.  Exposure to Generative AI and Agentic AI ecosystems such as Azure OpenAI, Azure AI Foundry, Azure AI Hub, Bedrock, Anthropic Claude, OpenAI API, LlamaCloud, LangChain.  Understanding of token usage, LLM prompt injection risks, Jailbreak attempts and mitigation techniques.  Strong knowledge of governance, a...

Your Role and Impact GenAI / Agentic AI Engineer (4–6 Years Experience) Key Skills & Responsibilities Strong expertise in Prompt Engineering for LLMs and SLMs. Hands-on experience with SLMs and CrewAI for building and orchestrating multi-agent workflows. Proficiency with Agentic AI frameworks (LangChain, LangGraph, etc.) and Generative AI solutions. Experience in DevOps / LLMOps / MLOps, covering deployment, monitoring, observability, and CI/CD for AI systems. Skilled in scalability and orchestration using Docker, Kubernetes, and Cloud / On-Prem environments. Good understanding of the Azure , AWS AI/ML stack for enterprise-grade deployments. Strong foundation in System Design & Architecture ...