Average salary: Rs1,145,281 /yearly
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- ...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
- Role : Docker, Cloud & MLOps Engineer (FastAPI / CI-CD / ML-DL)Location : Gurugram / Nearby Only (On-site)Joining : Immediate Joiner within 1 to 4 days (Max)Experience : 3 to 4 years (Mandatory)Employment Type : Full-timeReporting To : Engineering Manager / Tech LeadMandatory...SuggestedFull timeImmediate start
- • Strong proficiency in Python and FastAPI. • Experience with MLOps tools and ML experimentation platforms such as MLflow (Runs & Experiments) • Expertise in model versioning and lifecycle management (model training) • Knowledge of ML frameworks/libraries (e.g., TensorFlow...SuggestedFull time
- ...exceptional experience for yourself and a better working world for all. Job Description : EY GDS Data and Analytics (D&A) Senior MLOPs Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience...SuggestedFull time
- ...Management: Set up and manage cloud AI infrastructure to support scalable and efficient machine learning operations. Utilize DevOps and MLOps Tools: Leverage DevOps and MLOps tools to streamline workflows automate processes and enhance collaboration across teams. Python...SuggestedFull timeShift work
- ...with top-tier technology partners. Be a part of an Awesome Tribe Job Title: Senior/Lead ML Engineer / Data Scientist (Regression & MLOps) Experience: 5 years Employment Type: Full-time About the Role Were looking for a hands-on Senior/Lead ML Engineer / Data...SuggestedFull timeHybrid work
- 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
- ...Bonus Points: Diverse AI/ML application experience RAG (Retrieval Augmented Generation) knowledge Model deployment and MLOps understanding Vector database experience (Pinecone, Weaviate, ChromaDB) Hugging Face ecosystem familiarity Advanced prompt engineering...SuggestedFull timeImmediate start
- ...dashboards.- Design AI-driven, modular analytics dashboards dynamically generated based on user behavior and data context.- Architect scalable MLOps pipelines for model training, deployment, monitoring, and continuous learning.- Mentor and lead a high-impact AI team across data...Suggested
- ...: 27 years in software developmentAbout the Company : Were a VC-backed, rapidly growing AI startup on a mission to build an advanced MLOps platform for LLM Evaluation and Computer Vision models. Our culture is fast-paced, product-focused, and deeply technical, ideal for engineers...SuggestedFlexible hours
- ...with a minimum of 3 - 7 years of experience in Data Science and Machine Learning preferably with experience in NLP Generative AI LLMs MLOps Optimization techniques and AI solution this role you will play a key role in the development and implementation of AI solutions leveraging...SuggestedFull time
- ...and monitoring ML models.- Familiarity with TensorFlow, scikit-learn, XGBoost, etc.- Proficiency in Python (must-have).- Knowledge of MLOps tools- Understanding of production deployment, model versioning, and responsible AI- Mandatory Professional Machine Learning Engineer...Suggested
- ...Provide hands-on technical leadership in building, training, deploying, and optimizing ML and LLM-based systems- Establish and enforce MLOps best practices, including model lifecycle management, CI/CD, monitoring, and feedback loops- Collaborate with product owners and...SuggestedHybrid work
- ...translation tools.- Familiarity with RAG architectures and vector databases for code and documentation retrieval.- Experience with LLMOps / MLOps in large-scale transformation programs.- Exposure to enterprise-scale modernization or platform engineering.Nice to have : - Hands-on...Suggested
- ...recommendation systems, or deep learning applications . Prior experience in scaling SaaS platforms using AI/ML. Familiarity with MLOps tools (MLflow, Kubeflow, Docker, Kubernetes). What We Offer Opportunity to work with a fast-growing SaaS company at the...SuggestedFull time
- ...Scala is a plus).2. Strong knowledge of database management systems (e.g., MySQL, PostgreSQL), ETL processes, and SQL.3. Experience with MLOps practices and tools like Docker, Kubernetes, and cloud platforms (AWS preferred).4. Familiarity with tools like Apache Spark.Nice to...Hybrid work
- .... 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
- ...or serverless functions. ~ Familiarity with GenAI platforms: OpenAI (Azure) AWS Bedrock GCP Vertex AI. ~ Hands-on experience with MLOps/LLMOps workflows and tools (MLFlow LangChain Hugging Face). ~ Experience with containerization and orchestration (Docker Kubernetes)...Full time
- ...frameworks (including access controls lineage and compliance) across cloud and on-premises environments. Design and implement DataOps and MLOps pipelines for automated data ingestion transformation model training deployment and monitoring. Automate infrastructure...Full time
- ...you want it to go. Join EY and help to build a better working world. Job Description : EY GDS Data and Analytics (D&A) Senior MLOPs Role Overview: We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in...Full time
- ...ETL/ELT orchestration workflows (Databricks ADF Glue or Airflow). Continuously monitor retrain and enhance deployed ML models using MLOps best practices. Assist with data labeling synthetic data generation and transfer learning for complex data scenarios. Document...Full timeHybrid work
- ...skills Benefits Work on real-world AI security and machine learning protection challenges Exposure to modern cloud-based and MLOps-driven AI environments Opportunity to build deep expertise in AI security, governance, and compliance Accelerated learning...Full timeRemote jobFlexible hours
- ...Develop intuitive UI components for AI-powered features- Collaborate with Data Scientists, ML Engineers, and DevOps teams- Implement MLOps/DevOps practices to deploy and monitor AI pipelines- Lead technical solutions for GenAI experiments within the squad- Handle L0/L1 production...
- ...Programming Proficiency : Advanced skills in Python and familiarity with AI/ML frameworks like TensorFlow, PyTorch, or similar tools.- MLOps Best Practices : Experience in deploying and managing AI models in production environments using MLOps tools and workflows.-...
- ...structured light, or depth reconstruction- Exposure to model quantization, pruning, or edge deployment (e.g. TensorRT)- Experience with MLOps or training data pipelines- Solid understanding of 1D/2D metrology and classical computer-vision techniques (e.g., sub-pixel edge...
- ...TensorFlow, JAX- HuggingFace Transformers & Diffusers ecosystem- LLM/agentic frameworks : LangChain, LangGraph, LlamaIndex, Semantic Kernel- MLOps : MLflow, Weights & Biases, Kubeflow- Graph Rag, MCP frameworks- Working with CUDA libraries and optimization (CuGraph, CuPy)...
- ...Pytorch TensorFlow Nemo/NIM Unsloth Agentic AI Lang graph MS AI Foundry Hugging Face Chroma DB/FAISS etc.3. Good to have experience in MLOps and AI deployment infrastructure.4. Good to have experience in AWS/Azure/Google Cloud Services(anyone).Qualifications & Educational...Full timeRemote job
- ...and maintain streaming and batch data transformation pipelines using cloud-native solutions (AWS/GCP). Implement best practices in MLOps, including CI/CD pipelines for ML models, automated testing, and model monitoring. Deploy and manage containerized ML...
- ...platforms (e.g. Azure Blob Storage AWS S3 Databricks). ~ Certifications in cloud security (e.g. AWS Security Specialty). ~ Knowledge of MLOps and automated policy compliance tools. ~ Familiarity with AI-driven data contract generation and enforcement frameworks ....Full timeContract work
- ...Be passionate to develop teach learn operationalize and scale citizen decision science. What Were Looking For Expertise with MLOPs and Big data solutions. Subject matter knowledge in statistics analytics big data data science machine learning deep learning cloud...Full timeWork at officeFlexible hours