Average salary: Rs639,245 /yearly
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- ...to Long Term success and combine global reach with local client attention to serve them in over 50 Countries. Position: Senior MLOps / AIOps Platform Engineer Location: Chennai / Pune Work Type: Hybrid Job Type: Full Time Job Description:...SuggestedLong term contractFull timeHybrid workLocal area
- ...Join our Data Science Platform team as an MLOps Engineer where youll build and maintain production ML infrastructure across AWS SageMaker and Databricks. Youll enable data scientists to efficiently develop deploy and monitor ML models at scale while establishing governance...SuggestedFull time
- ...About the Opportunity : Were looking for a Software Architect to drive high-level design and system architecture decisions for our AI and MLOps platform. Youll define frameworks, ensure scalability, and guide teams in implementing reliable, maintainable software systems that...SuggestedHybrid work
- 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
- ...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
- ...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
- About the Project :Client is a leading global financial markets infrastructure and data provider. The Content Amplify project is at the forefront of transforming unstructured financial narratives into structured, accessible data using cutting-edge AI technologies.Our mission...SuggestedFull time
- ...mindset, and ownership mentality Good to Have: 1) Domain: Basic understanding of water/wastewater processes and KPIs 2) MLOps (brief): Model packaging, API serving, experiment tracking, monitoring 3) Understanding of chemical process analytics 4) Knowledge...SuggestedFull timeImmediate start
- ...of SQL and no-SQL databases. - Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.- Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization...Suggested
- ...Familiarity with model optimization techniques (quantization, pruning, distillation) and serving optimizations. Understanding of MLOps best practices and tools for model monitoring, versioning, and governance. What Sets You Apart You've built AI features that thousands...SuggestedPermanent employment
- ...-time data streaming (Kafka, Spark)- Experience with relational and analytical databases (Postgres, ClickHouse, Elasticsearch)- Exposure to ML model integration, MLOps is a strong plus- Strong problem-solving, debugging, and cross-team collaboration skills (ref:hirist.tech)Suggested
- ...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 MLflow...SuggestedFlexible hours
- ..., 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 MLflow...SuggestedFull timeNo agencyFlexible hours
Emerson
Pune20 days ago - ...PyTorch / Scikit-learn)- Experience with LLMs / Generative AI is a plus- Exposure to Azure / AWS / GCP AI services- Knowledge of SQL, APIs, MLOps, Git- Experience with industrial/manufacturing data preferredWhat Were Looking For : - Problem-solver with a strong execution mindset-...SuggestedHybrid work
- ...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
- ...management & data structures such as Json schema, Avro- Knowledge in DevOp as Jenkins pipelines, docker and some experience deploying models (MLOps, LLMOps, AIOps)- Strong understanding of GenAI/AI/ML technologies with knowledge in concepts as AI flow, evaluation, training, scoring...Hybrid workWork at office
- ...development and deployment.- Champion data governance and FAIR data principles (Findability, Accessibility, Interoperability, Reusability).MLOps, Data Engineering & Platform Architecture :- Oversee MLOps pipelines for model training, deployment, monitoring, and versioning.-...Full timeImmediate start
- ...Milvus. Proficiency with ML frameworks (PyTorch, TensorFlow, scikit-learn). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tooling. Good to have: Solid foundation in backend technologies such as Python, Java, Go, Node.js, and experience with Kafka....Full timeHybrid work
- ...AKS , and Azure AI Services . Integrate MCP tools and deploy AI models into data pipelines using Azure Machine Learning and MLOps practices. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Mathematics, or...Long term contractFull timeWeekday work
- ...engineers. Monitor and maintain ML systems to ensure data integrity model drift detection and reliable predictions. Contribute to MLOps best practices including containerization (Docker) orchestration (Kubernetes) and experiment tracking (MLflow Weights & Biases)....Full time
- ...deploy container-based applications to platforms like Red Hat OpenShift public clouds (AWS GCP Azure) leveraging CI/CD best practices and MLOps infrastructure. Collaboration & Mentorship: Work closely with research scientists data scientists product teams and stakeholders....Full timeContract work
- ...hyperparameter tuning. Build scalable AI solutions using Azure AI/ML (preferred) with containerized deployments (Docker Kubernetes). Apply MLOps LLMOps best practices: CI/CD model versioning drift detection observability and lifecycle management with MLflow Kubeflow Airflow and...Full timeHybrid workWork at officeLocal areaRemote jobWork from home
- ...operationalize AI/ML platforms (Azure ML AWS SageMaker GCP Vertex AI Databricks ML) supporting model development deployment monitoring and MLOps. Reusable Assets & IP: Develop and maintain reusable tools accelerators frameworks and IP for platform engineering data migration...Full time
- ...Design and implement fine-tuning pipelines for domain-specific LLMs (e.g. Llama, Mistral, Phi-3) on medical datasets • Architect MLOps frameworks enabling continuous model improvement: training, evaluation, deployment, monitoring • Build “built-in-intelligence-products...Long term contractPermanent employmentHybrid workFlexible hoursAfternoon shiftEarly shift
- ...Augmented Generation (RAG) and GraphRAG pipelines to enhance the precision of enterprise knowledge retrieval.- Design scalable LLMOps and MLOps frameworks to manage the lifecycle of models, including versioning, monitoring, and automated retraining.- Collaborate with Creative...Long term contractFull timeHybrid work
- ...AI (text, image, speech integration) Knowledge of transformer architecture internals, quantization, and fine-tuning optimization MLOps & Deployment: Docker, Kubernetes, MLflow, Kubeflow, CI/CD pipelines, monitoring (ELK/Splunk/Prometheus) Contributions to open-source...
- ...cost.- Build evaluation frameworks for grounding, factuality, and relevance (BLEU/ROUGE, custom metrics).End-to-End AI Engineering & MLOps : Own the AI engineering lifecycle : - Data pipelines- Model integration- Evaluation and validation- Deployment and monitoring- Build...Long term contractImmediate start
- ...delivery with at least 2 years in a leadership or managerial role. ~ Proven experience in cloud-native development (Azure preferred) MLOps and data engineering. ~ Strong understanding of AI governance model lifecycle management and responsible AI practices. ~ Strong...Full timeLocal areaShift work
- ..., monitoring, retraining, and drift detection.- Design scalable AI services using microservices and event-driven architectures.- Lead MLOps pipelines for CI/CD, model versioning, monitoring, and governance.- Work closely with business stakeholders to translate requirements...
- ...Django Understanding of fundamental AI/ML concepts algorithms techniques and implementation of workflows Familiarity with DevOps/MLOps practices and tools for managing the AI/ML lifecycle in production environments Understanding of LLM training processes and data...Full timeContract work
