Average salary: Rs639,245 /yearly
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- Description :As a Senior MLOps Engineer within the AI Platform Engineering team, you will help design, build, and scale the foundational capabilities that power AI across our enterprise. Youll work at the intersection of machine learning, software engineering, and DevOps, enabling...SuggestedHybrid work
- ...orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.). Must Haves: ~4+ years of DevOps, MLOps, or infrastructure engineering experience. Preferably with 2+ years in AI/ML environments. ~ Hands-on experience with cloud-native...SuggestedRemote jobWorldwide
- Description :About the Role :We are hiring a Senior MLOps Engineer (REMOTE) with deep expertise in Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Generative AI infrastructure. This role focuses on building and scaling production-grade LLM systems, designing...SuggestedRemote job
- ...projects with excellent problem-solving, analytical, and communication abilities ~ Proficient in AWS, GCP, or Azure, with experience in MLOps tools like MLflow/Kubeflow, CI/CD pipelines, and infrastructure as code (Terraform/CloudFormation) ~ Expertise in model observability...SuggestedLong term contractHybrid workWork at officeLocal areaWorldwide
- ...Artificial Intelligence (AI) solutions to production. This team is primarily composed of Software Engineers, ML Engineers, AI Specialists, and MLOps Engineers, acting as enablers to ensure robust engineering and deployment of advanced solutions. We foster a culture of continuous...SuggestedFull timeLocal areaFlexible hours
- ...solutions and own the full ML lifecycle—from proof-of-concept to production. You'll operationalize LLMs, build Agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: Operationalize large language...SuggestedFull timeLocal areaWorldwide
- ...engineering principles best practices CI/CD pipelines implementation and knowledge of Object-Oriented Programming (OOP) fundamentals. As an MLOps Engineer you will play a key role in developing engineering and maintaining high-quality software solutions working on Machine...SuggestedFull timeLocal areaFlexible hours
- ...of agriculture through cutting-edge technology. Website address - Job Description Join our Data Science Platform team as an MLOps Engineer, where you'll build and maintain production ML infrastructure across AWS SageMaker and Databricks. You'll enable data scientists...SuggestedWorldwide
- ...documentation skills; able to work independently as a technical leader within projects. Preferred Qualifications: Experience with MLOps frameworks (e.g., MLflow, Airflow, Kubeflow) and model lifecycle management. Knowledge of responsible AI practices, model...SuggestedHybrid work
- ...models and scale it to global level. We are looking for a AI Platform Engineer who excels in system architecture, API design, and MLOps. You won't just be deploying models; you will be defining how they are deployed, scaling inference pipelines, optimizing latency, and...SuggestedFull time
- ...Role: MLOps Engineer Exp: 3 to 12 years Location: AIA-Pune Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking...Suggested
- ...production-grade machine learning, including Generative AI and LLM-based solutions. You will work closely with product, engineering, and MLOps teams while mentoring junior members in a fully remote environment.Key Responsibilities : - Lead highly complex data science projects...SuggestedRemote job
- ...decision systemsData & Infrastructure : - Experience with Kafka / streaming data (preferred)- Familiarity with cloud platforms (AWS / GCP / Azure)- Knowledge of MLOps tools (MLflow, Kubeflow, Airflow, SageMaker)- REST API development and microservices exposure (ref:hirist.tech)SuggestedHybrid workShift work
- ...integrating audio transcription models (e.g., Whisper), image analysis models, or multilingual translation APIs . Exposure to MLOps and LLMOps practices. Benefits Hybrid setup Worker's insurance Paid Time Offs Other employee benefits to be...SuggestedFull timeHybrid work
- ...tuning frameworks - Infrastructure : AWS (ECS, Fargate, Lambda, S3, RDS Aurora, SageMaker) - Data & Messaging : PostgreSQL, Redis, Kafka - MLOps & Platform : Docker, Terraform, GitHub Actions, CI/CD, model monitoring - APIs & Services : FastAPI, Flask, gRPC - Orchestration :...Suggested
- ...vector databases- Work with NLP libraries such as BERT, SpaCy, NLTK, Word2Vec, and GloVe for text processing and analysis- Implement MLOps pipelines, including CI/CD, model versioning, monitoring, and deployment- Containerize and orchestrate AI services using Docker and Kubernetes...
- ...loops. Understanding of healthcare data formats (FHIR, HL7, clinical notes) is highly preferred. Good to Have Knowledge of MLOps, continuous evaluation pipelines, or model observability. Experience integrating AI features into SaaS or API-first products....Full time
- ...databases, and will have hands-on experience building classification models. Experience in the customer support industry and knowledge of MLOps/LLMOps practices will be a strong plus. Key Responsibilities Research, design, and implement state-of-the-art NLP and Generative...Full timeHybrid work
- ...optimization.- Select and evaluate algorithms using appropriate metrics, cross-validation, and bias/variance analysis.Model Lifecycle & MLOps :- Own the end-to-end model lifecycle : problem formulation, experimentation, POC validation, production deployment, monitoring, and...Full time
- ...infrastructure stack, databases, service endpoints, GPU as well as CPU resource scaling, optimization etc.- Should have worked AIOps/MLOPs- Should have worked on deploying AI/ML Apps using Docker and Kubernetes- Should have worked on scaling, high availability and reliability...Hybrid workFlexible hours
- ...Have) Experience with dbt, AWS Glue, Airflow, or similar orchestration tools. Familiarity with feature stores, ML pipelines, or MLOps workflows. Exposure to data observability platforms and cost optimization strategies. Relevant certifications (Snowflake SnowPro...Full timeHybrid workFlexible hours
- ...using appropriate metrics and present findings through visualizations and reports.- Deployment Support: Collaborate with engineering and MLOps teams to support model deployment and monitor performance in production.Work and Technical Experience:Must Have Skills:- Proficiency...Full time
- ...privacy, compliance, and security standards across all AI workloads. Support model versioning, governance, and lifecycle management MLOps, Monitoring & Optimization Implement monitoring and observability for AI workloads using Azure Monitor, Application Insights, and...Full timeFlexible hours
- ...(AWS, GCP, Azure).- Develop APIs and microservices enabling seamless integration of AI capabilities into products.- Implement strong MLOps practicesCI/CD for ML, automated retraining, model performance monitoring, and governance.- Partner with data engineering to ensure robust...
- ...Beam, Pub/Sub, Kafka). • Excellent problem-solving, debugging, and communication skills. Preferred Experience: • Experience in MLOps practices for model deployment, monitoring, and retraining. • Exposure to multi-cloud or hybrid cloud environments (GCP, AWS, Azure,...Long term contractContract workHybrid workLocal areaImmediate start
- ...Augmented Generation) Vector databases and embeddings Knowledge of containerization: Docker, Kubernetes (EKS) Familiarity with MLOps or Model Lifecycle Management Experience with cost optimization for AI workloads Understanding of ethical AI and responsible AI...
- ...Developer Google BigQuery- GCP Developer Spark Scala Developer SAS Developer Ab Initio Developer Datastage Developer Informatica IICS Developer AI/ML Gen AI MLOps Informatica MDM Reltio MDM Stibo SAP MDG Informatica Data Quality- IDQ...Immediate start
- .... You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases). You have good understanding of MLOps practices and model deployment workflows. You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain). Your level...Part timeFreelanceRemote job
- ...Perform error analysis and interpretation (feature importance/SHAP, cohort slicing) and iterate based on evidence Productionization & MLOps (Project-Dependent) Package models for deployment (batch scoring pipelines or real-time APIs) and collaborate with engineers on...Full timeLocal areaRemote job
- ...operationalizing AI/ML and Generative AI solutions. In this role, you will design and implement robust software systems that enable MLOps and GenAI Ops workflows, ensuring scalable, secure, and efficient deployment of AI models and applications. You will work closely with...Hybrid workWork at officeRemote job

