MLOps Engineer - Production Support
Zorba Consulting India Pvt. Ltd.
Role: MLOps Engineer Production Support (Databricks & Python):Candidates with strong Python + Databricks + CI/CD + Production MLOps support experience who have worked on monitoring, troubleshooting, deployment, and model/data drift management in production ML environments.Experience Range: 6 to 8 years.Shift: 1 PM 10 PM IST (Monday to Friday).Target onboarding: Immediate.Number of positions: 01.Location: PAN India with preference at Bangalore.Key Responsibilities:- Monitor end-to-end pipeline execution and ensure smooth daily runs.- Identify, debug, fix issues, and rerun pipelines during failures.- Collaborate cross-functionally to resolve dependencies and blockers.- Implement preventive health checks and robust logging for proactive issue detection.- Design and maintain dashboards for data validation and quality checks.- Perform data validation and ensure integrity across pipeline outputs.- Analyze model performance using statistical metrics and monitor data/feature/concept drift.- Build automated alerts/notifications for pipeline failures.- Develop agent-based solutions for automated monitoring and debugging.- Enhance and maintain CI/CD pipelines, including implementing data-based authentication and building new CI/CD workflows.- Ensure proactiveness & timely deliverables with strong communication, ownership, and stakeholder updates.- Apply model explainability techniques and leverage GenAI for insights and summarization.Technical Requirements:1. Python:- Strong Python skills & solid understanding of OOP (including inheritance).- Hands-on experience with unit testing, regression testing, and testing frameworks such as pytest.- Experience with pandas and PySpark etc.- Knowledge of software design patterns.2. Databricks:- Understanding of Databricks architecture and components.- Experience with Databricks Asset Bundles.- Ability to build, enhance, and debug Databricks Jobs/Workflows.3. CI/CD & Git:- Knowledge of Git flows, branching strategies, and version control best practices.- Experience with GitHub Actions.- Ability to deploy Databricks (dbx) jobs through CI/CD pipelines.- Familiarity with Azure services, including Key Vault.4. Data/Model Monitoring:- Understanding of data drift, model drift, and concept drift.- Ability to use drift indicators for identifying early-stage data quality issues.- Experience with monitoring and alerting tools is a plus. (ref:hirist.tech)
- ...We are seeking a skilled AI/ML engineer in Pune with 6+ years of... ...Us :CodeVyasa is a mid-sized product engineering company that works... ...Implement CI/CD pipelines and MLOps best practices for model deployment... ...internal and external programs.- Supportive and collaborative work culture...SuggestedFlexible hours
- ..., HSBC offers opportunities, support and rewards that will take you... ...: Lead delivery of AI/ML engineering solutions on GCP, taking accountability... ...outcomes from design through production support. Own architecture... ..., and cost. Implement MLOps practices for the full model...SuggestedPermanent employmentFull timeHybrid workFlexible hours
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- ...intelligent systems.Role Overview:As an AIML Engineer, you will serve as a technical anchor... ...between complex data science research and production-grade software. You will be responsible... ...manual processing time.- Implement robust MLOps frameworks to manage the end-to-end lifecycle...SuggestedHybrid work
- ...Skills & Requirements : - GenAI, ML and production-grade ML pipelines- CI/CD, Git, Docker, Jenkins... ..., deployment and orchestration tools- MLOps tools such as MLflow, Kubeflow, Weights &... ...ML models- Experience with data engineering pipelines- Third-party integration experience...
- About the Role:We are looking for an MLOps Engineer with 3+ years of experience to build, deploy, and maintain scalable machine learning pipelines and production ML systems. The ideal candidate should have hands-on experience with cloud platforms, CI/CD, containerization, and...
- ...Role :We are looking for an experienced AI Site Reliability Engineer (AI SRE) to drive the reliability, scalability, and operational... ...combines expertise in Site Reliability Engineering (SRE), MLOps, Production Support, and AI Platform Engineering to ensure highly available,...
- ...leverage machine learning and data science to create innovative products that enhance trading strategies, risk management, and customer experience... ..., impacting millions of users globally.Role Overview :As an ML Engineer at Elgebra, you will be responsible for designing, developing,...
Rs 18 - 22 lakhs p.a.
? Hiring Alert | AI / ML Engineer – Large Language Models (LLMs) ? ? Location: Bangalore / Pune ? Role: Team Lead / Consultant – AI / ML Engineer ? Experience: 8–12 Years ? Budget: Up to ₹23 LPA We are looking for an experienced AI / ML Engineer with...Full time- Role Overview :We are looking for a high-caliber AI/ML Engineer to join our core computer vision team in Bangalore or Chennai. In this role... ...complex visual recognition challenges that directly impact our products core functionality. You will collaborate closely with cross-...Hybrid work
- ...global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s... ...integrate RPA solutions into existing systems. 11. Provide technical support and troubleshooting for deployed RPA bots and address any...Full time
- Job Description :- Lead AI Product Pods across Credit Risk, Fraud, and Collections functions... ...complete ML lifecycle including feature engineering, model training, evaluation, deployment,... ...infrastructure, feature stores, model registries, and MLOps pipelines.- Develop AI solutions for...
- Job Description : Role : Strong Lead Data Science, AI Engineer, and Machine Learning Engineer profiles.Mandatory Requirements : - Experience... ..., AI/ML or AI Engineering with hands-on experience building production-grade ML systems.- Experience 2 : Must have hands-on experience...RelocationOverseas
- ...Responsibilities :- Design, build, and maintain scalable MLOps pipelines on GCP.- Develop and deploy ML models... ....- Monitor model performance, drift, and production health.- Collaborate with Data Scientists, ML Engineers, and Data Engineers to productionize ML solutions....Hybrid work
- ...query relevance, and search accuracy.- Support taxonomy, ontology, and metadata model creation... ...refine search performance.- Work with engineers, product managers, and designers to deliver... ...Prefect, Feature Stores, Model Registry, or MLOps/LLMOps frameworks.12. Preferred...
- Role Overview:As an AI ML Engineer, you will be at the forefront of building scalable, intelligent... ...collaborate closely with cross-functional product teams, data scientists, and senior... ...scalability by implementing best practices in MLOps, ensuring reliable and efficient service...Long term contractHybrid work
- ...unattainable. We are looking for a Senior AI/Machine Learning Engineer to set the technical direction for agentic AI on the Aera... ...role for someone who has already shipped autonomous agents into production, watched them fail in ways the demo never showed, and built the...Full timeWork at office
- ...Bangalore, Chennai, Hyderabad, PuneRole : MLOPS GCP Data EngineerEXP : 10-19 yrsJob... ...: We are seeking a highly skilled MLOps Engineer with strong expertise in the Google Cloud... ...deployment of machine learning models in production.Key Responsibilities : - Design and implement...
- ...LangChain and LangGraph.- Implement Prompt Engineering and semantic search using Vector... ...Collaborate with global clients and deliver production-ready AI solutions.- Ensure scalability,... ...Langfuse, MLflow, or Arize.- Experience with MLOps and CI/CD.- Experience working with US/EU...
- ...Summary:We are seeking an experienced AI Application Engineer to design, develop, deploy, and support enterprise-grade AI-powered applications. The ideal candidate... ..., and Azure cloud services to deliver scalable and production-ready AI applications.Key Responsibilities:- Design,...
- ...seeking a highly skilled and experienced AI/ML Engineer to design, develop, and deploy scalable... ...learning, large language models (LLMs), MLOps, and cloud platforms. You will work... ...end machine learning and AI solutions in production environments.- Build, fine-tune, and optimize...Full time
- Description :We are looking for a Senior MLOps / Machine Learning Engineer with 6+ years of experience to design, build, and scale our next-generation... ...move from experimental notebooks to high-throughput, production-grade systems seamlessly.This isn't a role for standing up...
- ...applications, creating APIs, debugging, testing, and deploying production-ready solutions.- Must have experience in developing data-based... ...Must have hands-on experience with LLM workflows including prompt engineering, fine-tuning, model evaluation, response quality analysis, and...
- We are seeking a highly motivated ML Engineer & Developer with 4 - 5 years of experience in... ...functional teams to integrate ML models into production systems.- Continuously evaluate and adopt... ..., pruning).- Familiarity with MLOps practices and model deployment workflows....
- Skills:- Mlops, Python, Terraform, Docker, Kubernetes, CICD Pipelines, Mlflow/Kubeflow/Airflow, (AzureML, Sagemaker, Vertex)AWS/GCP?AzureRequired... ...on customer confirmation) with an emphasis on writing clean, production-grade, object-oriented code.Data Science Capabilities: Solid...
- ...leveraging the Vertex AI Agent Development Kit (ADK) to build a robust, production-ready framework for agents. 3. Per-Agent Specification &... ...tool definitions (Function Calling), systemic prompt engineering, and input-context data models. Define clear graduated-autonomy...Contract work
- Job Summary : Seeking a hands-on Senior AI/ML Engineer to lead the design, development, deployment, and operationalization of production-grade Agentic AI solutions on Azure. The... ...architecture ownership, LLM/RAG implementation, MLOps, and mentoring engineering teams.Key...Hybrid work
- ...growth catalyst, we empower sales, marketing, product development, and strategy through a unique... ...capabilities.Role : Lead AI / ML Engineer (Computer Vision & NLP)Designation : Senior... ...advantage for our clients.- Design and maintain MLOps workflows to streamline model training,...
- ...transform, and load data from various sources.AI model Feature Engineering : - Integrate structured and unstructured data from internal and... ...Orchestrate robust and error-free deployment of AI models into production environments, making them accessible to applications and users....
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