Average salary: Rs372,580 /yearly
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- Job descriptionMLOps Responsibilities :1. Design, develop, and implement MLOps pipelines for the continuous deployment and integration of machine learning models 2. Collaborate with data scientists and engineers to understand model requirements and optimize deployment processes...Suggested
- ...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
- ...and production-grade AI systems. This role is ideal for someone who enjoys building scalable AI backends, setting up robust data and MLOps pipelines on GCP, and deploying agentic AI applications end-to-end. If you are passionate about AI infrastructure, cloud-native systems...SuggestedFull time
- ...Flask/FastAPI for model serving- Optimize models for latency, scalability, and cost efficiency in production environments- Build reusable MLOps workflows for training, validation, and deployment pipelines- Develop end-to-end data pipelines and integrate structured and...Suggested
- ...Python and experience with frameworks like Hugging Face, LangChain, LanGraph, OpenAI/Anthropic SDKs.- Experience with API development, MLOps, and deploying models using containers or cloud-native tools.- Proven ability to lead cross-functional teams and translate business...Suggested
- ...LLMs diffusion models etc.). ~ Hands-on experience with RAG techniques and frameworks. ~ Strong Python skills; experience with TensorFlow PyTorch or similar. ~ Experience with cloud computing and MLOps tools. ~ Good communication and teamwork skills....SuggestedFull time
- ...customers using our unified platform including end-to-end ML pipelines inference optimization integration with cloud-native services and MLOps ~ Provide guidance and best practices to development teams on AI agent implementations. ~ Serve as the trusted technical advisor...SuggestedFull timeWorldwide
- ...and cleaning tasks. Help build and maintain ETL pipelines for structured/unstructured data. Work with senior team members on MLOps tasks using Git Docker MLFlow etc. Business Dashboards & Analytics Create dashboards and reports using Power BI or Tableau ....SuggestedFull timeInternshipRemote job
- ...FAISS/Pinecone) Working Knowledge of Langchain Langraph framework Model Deployment & Monitoring (SageMaker Model Monitor Drift Detection Fine-tuning LLMs) Python SQL ML Frameworks (TensorFlow PyTorch Scikit-learn) MLOps CI/CD Containerization (Docker KubernetesSuggestedFull time
- ...experience with GIT and version control systems Familiarity with LLM orchestration and agentic AI libraries Hands on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environment Preferred qualifications...SuggestedFull time
- ...leadership, communication, and stakeholder management skills.Preferred Qualifications :- Experience in machine learning infrastructure or MLOps is a plus.- Exposure to real-time data processing and analytics.- Interest in data structures, algorithm analysis and design,...Suggested
- ...enable powerful data analysis- Build data pipelines that clean, transform, and aggregate data from disparate sources- Build and maintain MLOps platform to deploy models that can be used to make predictions and answer questions for the overall businessWhat does it take to be in...Suggested
- ...needs. It is also responsible for implementing and enhancing the community of practice to determine the best practices, standards, and MLOps frameworks to efficiently deliver enterprise data solutions at General Mills. This role works in close collaboration with Data...SuggestedHybrid workWork at officeRemote jobShift work
- ...experience in leveraging Generative AI large language models (LLMs) and driving automation in financial services. Understanding of MLOps practices for deploying monitoring and maintaining AI solutions in banking. Working knowledge of agile tools (JIRA Confluence) and...SuggestedFull time
- ...Experience with frameworks such as PyTorch TensorFlow LangChain Langflow etc. ~ Strong grounding in data engineering model evaluation MLOps and system observability. ~ Deep knowledge of conversational AI dialog management and human-in-the-loop design. ~ Demonstrated...SuggestedFull timeFlexible hours
- ...Preferred qualifications, capabilities, and skills Knowledge of machine learning model lifecycle, language models and cloud-native MLOps pipelines and frameworks is a plus. Familiarity with data visualization tools and data integration patterns. About Us About...
- ...workloads. Optimize cost and performance for compute-intensive ML tasks including GPU scheduling and autoscaling. Collaborate with MLOps Engineers to enable CI/CD pipelines for ML models and data workflows. Ensure platform security and compliance including IAM secrets...Full time
- ...frameworks to automate workflows.- Maintain reproducible and observable pipelines using MLflow, Airflow, LangSmith, etc.Model Deployment & MLOps :- Deploy ML models using Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP).- Build scalable APIs using FastAPI with monitoring,...
- ...cloud or on-prem environments.- Monitor model performance, data drift, and system health post-deployment.- Implement CI/CD pipelines and MLOps best practices. Research & Innovation :- Stay updated with the latest AI/ML research, tools, and industry trends.- Experiment with new...
- ...Exposure to fine-tuning LLMs and model evaluation techniques- Experience with AI security, governance, and responsible AI- Understanding of MLOps practicesPreferred Qualifications :- Bachelors or Master's degree in Computer Science, AI, ML, or related field- Experience delivering...
- ...experience with GIT and version control systems Familiarity with LLM orchestration and agentic AI libraries Hands on experience with MLOps tools and practices ensuring seamless integration of machine learning models into production environment Preferred qualifications...Full time
- ...responses with internal knowledge Develop multimodal AI solutions (text audio image) and build autonomous agents where relevant. Drive MLOps excellence: CI/CD (ML pipelines) drift detection canary releases retraining schedules. Design robust and reusable prompt templates...Full timeHybrid workRemote job
- ...building RAG systems, embeddings, and vector search Familiarity with FastAPI, REST APIs, and backend development Understanding of MLOps principles and model deployment Strong problem-solving skills and ability to work independently Nice-to-Have: Experience...Seasonal workImmediate start
- ...Background in signal processing , feature extraction (MFCCs, spectrograms), or codec-level audio/video understanding. ● Experience with MLOps tools (e.g., MLflow, Weights & Biases, Kubeflow, Airflow). ● Knowledge of cloud platforms (AWS, GCP, Azure) and scalable model...Full time
- ...churn prediction.- Build and scale a high-performing team of data scientists, NLP engineers, and ML engineers.- Oversee model deployment, MLOps, monitoring, and continuous improvement in production environments.- Drive adoption of GenAI / LLM-based solutions for summarization,...
- ...primary technical and strategic advisor on their end-to-end AI journey, from initial AI curiosity to a fully architected and scalable MLOps platform. You will design the "how" of their AI strategy Your mission is to position our entire full-stack AI portfolio, translating...
- ...Experience implementing fine-tuning and integrating AI/ML models with cloud platforms and cloud-native services. Solid understanding of MLOps practices for deploying monitoring and maintaining AI solutions. Strong UI/UX and dashboarding skills. Proficient with agile...Full time
- ...operationalizing the ML and AI models, which entail model management and monitoring too. The success is to recommend innovative ways to automate the MLOps pipelines on GCP and set standards that would ensure repeated success. This capability is leveraged to fuel advanced AI...Full timeHybrid workWork at officeRemote jobShift work
- ...environments.- Optimize AI model serving using frameworks such as TensorRT, ONNX Runtime, Triton Inference Server, or FastAPI.- Implement MLOps practices including model versioning, monitoring, and automated deployments.- Collaborate with AI researchers, data scientists, and...
- ...workflows, analytics, and real-time decision systems. You will work at the intersection of data engineering, cloud architecture, and MLOps to ensure reliability, performance, and compliance across all fintech systems.Key Responsibilities :- Architect and deploy cloud-native...