Average salary: Rs1,145,281 /yearly
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- ...ensuring operational efficiency and delivering high-value solutions . You'll mentor and develop a high-performing team of Big Data and MLOps engineers, driving best practices in software development, data management, and model deployment. With a focus on robust technical...Suggested
- ...Job Summary: We are seeking a skilled Cloud and MLOps Developer to design, implement, and manage cloud infrastructure and MLOps pipelines that support the deployment, monitoring, and automation of machine learning models at scale. You will collaborate with data scientists...Suggested
- ...configurations, processes, and best practices and lead participation in security and architecture reviews of the infrastructure ~ Bring MLOps expertise to the table, namely within the scope of, but not limited to: ~ Model monitoring ~ Feature catalog/store ~ Model...Suggested
- ...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
- ...Are you an MLOps expert Ready to solve complex AI challenges Soul AI (by Deccan AI) is building a high-impact AI community , connecting top engineers with exclusive contract & freelance opportunities. Why You Should Apply: - Compensation above market standards...SuggestedLong term contractContract workTemporary workFreelanceRemote job
- • 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
- ...economy that benefits everyone. Our SSO Data Science team, specifically the Horizontal Data Science Enablement Team, is seeking a Senior MLOps Engineer . This role is crucial for solving complex MLOps problems, managing our organization's Databricks platform, building robust...Suggested
- 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
- ...Azure data services like (Azure Synapse Analytics Databricks SQL Databases Azure Machine Learning Azure Cognitive Services etc.) The MLOps / LLMOps Engineer will be responsible for designing operationalizing and scaling AI/ML and Generative AI systems across cloud...SuggestedFull timeVisa sponsorshipWork visa
- Description:MLOps Engineer - AWS Workflow SpecialistLocation - Permanent Remote with Mandatory 2 Days in a month from Gurgaon/Bengaluru office Role Summary :We are looking for a strong MLOps Engineer (AWS Workflow Specialist) to design, orchestrate, and deploy end-to-end machine...SuggestedPermanent employmentFull timeWork at officeRemote job
- ...benefits everyone, everywhere. Our SSO Data Science team, specifically the Horizontal Data Science Enablement Team, is looking for an MLOps Engineering Manager . This critical leadership role involves solving complex MLOps challenges, overseeing the entire organization's...Suggested
- ...~ Excellent time management and organizational abilities. ~ Experience with cloud platforms (e.g., AWS) for model deployment and MLOps. Recruitment Process: Our hiring process combines AI-powered evaluations with structured interviews to ensure a fair and seamless...SuggestedContract workHybrid workImmediate startFlexible hours
- ...Prior academic/industry ML projects (NLP, LLMs, automation, etc.). Knowledge of cloud platforms (AWS/GCP/Azure). Exposure to MLOps or workflow orchestration tools. Earn certifications in these skills + 3 more skills Who can apply Only those candidates...SuggestedWork at officeImmediate start
- ...transfer learning on educational datasets. Focus on cost-efficient AI deployment and model serving in production environments. Use MLOps tools (MLflow, Vertex AI, or SageMaker) for pipeline automation. Compliance & Ethics Ensure all models adhere to AI compliance,...SuggestedFull time
- .... o Experience in professional services is preferred o Experience with data warehousing and ETL processes. o Experience with MLOps. Benefits Benefits which make us unique At EZ, we know that great people are what makes a great firm. We value our people and...SuggestedLong term contractWork at office
- ...Advanced degree (M.Tech, M.S., or Ph.D.) in Computer Science, AI, Data Science, or a related field. Experience with AI productization, model deployment at scale, and MLOps practices. Track record of publishing research or contributing to AI communities is a plus....Full timeWeekday work
- ...learning algorithms, data structures, and software engineering principles.- Experience with cloud platforms (AWS, Azure, or GCP) and MLOps tools.- Hands-on experience with NLP, computer vision, or deep learning applications.- Strong problem-solving and analytical skills.-...
- ...in computer science or another quantitative field, and is familiar with the following software:- Must have hands-on experience on ML & MLOps- Coding knowledge and experience with several languages Python, R - Experience with Python and common data science toolkits like...
- ...experience as a Data Scientist, ML Engineer, or Data Developer.- Demonstrated success in building and deploying ML models.Preferred Attributes : - Knowledge of MLOps, Kubeflow, or MLFlow.- Contributions to open-source or published papers in data science journals. (ref:hirist.tech)
- ...databases for semantic search and retrieval-based applications- Develop scalable and high-performance APIs for AI/ML services- Apply MLOps best practices including model versioning, monitoring, retraining, and CI/CD- Optimize model inference performance and system scalability...
- ...TensorFlow, PyTorch, and Scikit-learn Experience working with cloud platforms including AWS, Azure, or GCP Strong knowledge of MLOps tools and practices such as MLflow, Kubeflow, Docker, and Kubernetes for model lifecycle management Experience working within information...Permanent employmentFull time
- ..., deploy, monitor and govern machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows MLOps principles . Exposure to AWS MLOps offerings Non-technical skills include: Wealth / Insurance Domain Knowledge is advantageous...
- ...colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies. You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively...Long term contractHybrid workImmediate startFlexible hours
- ...Proficiency in Python and familiarity with frameworks like TensorFlow and PyTorch. Experience with cloud platforms (preferably Azure) and MLOps tools such as Docker, Kubernetes, and CI/CD. Excellent communication and consultative skills to bridge tech and business needs....
- ...Multi-Modal Fusion: Work on cutting-edge fusion algorithms that combine RGB, Thermal, and UV data to see what the human eye cannot. MLOps & Deployment: You won‘t just hand off code. You will containerise your models and oversee their deployment into production on AWS,...Hybrid workRemote jobFlexible hours
- ...distributed agile teams managing ML projects across time zones with collaborative development practices. Develop and maintain modern MLOps methodology including automated testing for ML models, continuous integration for data pipelines, and infrastructure as code...
- ...experience with computer vision (CNNs, OpenCV, YOLO, custom object detection models). Solid understanding of ML model deployment and MLOps (Docker, Kubernetes, CI/CD for ML models). Experience in working with cloud platforms (AWS, Azure, GCP) for AI/ML model deployment....
- ...Hugging Face Transformers) ~ Experience with NLP, document processing, and LLM-based applications, cloud platforms (AWS, Azure, GCP) and MLOps practices ~ Familiarity with RAG architectures, vector databases (OpenSearch, Pinecone, FAISS), and embedding models ~ Proven...
- ...Matters as a category leader in CLM innovation. To learn more, visit . Power the Future of AI & Why This Role Matters As an MLOps Engineer , you will play a critical role in enabling reliable, scalable, and governed machine learning systems in production. You will...Contract workWorldwide
- ...NumPy, PyTorch/TensorFlow) Knowledge of software development practices (version control, CI/CD, code review) Experience with MLOps tools and best practices for model deployment and monitoring Proficiency in SQL Strong experience with large language models (...Hybrid workWorldwide
