Average salary: Rs372,580 /yearly
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- ...Job Title: MLOps Engineer Company: Willware Technologies Experience: 4-5 Years Location: Remote Notice: Immediate to 15 days, Serving Notice Role Overview: We need an MLOps Engineer to build the backbone of our ML initiatives. You will be responsible...SuggestedImmediate startRemote job
- 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
- ...India, committed to innovation and leveraging cutting-edge technology to enhance our services. As part of our journey in enhancing our MLOps capabilities, we are looking for an experienced Assistant Vice President (AVP) in Data Engineering to join our team. Role Overview:...Suggested
- ...About the Job: Job Title: ML Engineer / MLOps Engineer Skills : Data Pipelines & Engineering, Model Deployment at Scale, Python with ML Frameworks (TensorFlow/PyTorch), Advanced ML Algorithms (Decision Trees, Deep Learning, SVM, Clustering, Reinforcement Learning)....SuggestedImmediate start
- ...role : Saint-Gobain is modernizing its Data practices with more and more Artificial Intelligence algorithms and is seeking a senior MLOps Engineer to reinforce Saint-Gobain center of excellence in AI & GenAI, assisting Saint-Gobain Data Science teams worldwide in building...SuggestedLocal areaWorldwide
- 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
- ...team. The ideal candidate will be instrumental in developing, deploying, and maintaining machine learning models, with a strong focus on MLOps practices. This role requires hands-on experience with Azure cloud services, Databricks, and MLflow to build robust and scalable ML...Suggested
- ...ML/LLM infrastructure Troubleshoot and resolve issues related to ML model deployment and serving Evaluate and integrate new MLOps/LLMOps tools and technologies Mentor junior engineers and contribute to best practices documentation Required Skills & Qualifications...Suggested
Rs 0.5 - 5 lakhs p.a.
Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you'll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a...SuggestedLong term contract- Responsibilities: Design the data pipelines and engineering infrastructure to support our clients' enterprise machine learning systems at scale Take offline models data scientists build and turn them into a real machine learning production system Develop and...SuggestedWork at office
- ...architectures using AWS, Azure, or GCP- Define AI/ML solution architectures, including model lifecycle management, data pipelines, and MLOps practices- Architect secure, resilient, and compliant platforms following Zero Trust principles and regulatory standards relevant to...SuggestedHybrid work
- ...transcripts, medical notes) with NLP/GenAI for insights.- Deploy solutions on cloud platforms (AWS preferred) and follow best practices in MLOps.- Translate technical models into actionable insights for actuarial and business teams.What You Bring :- 5+ years of experience in...Suggested
- ...and experience with data pipelines, data warehousing, and data visualization.• Understanding Software Development Lifecycle, DevOps, MLOps, Big data architecture. Experience with CI/CD pipelines and tools like GitHub.• Excellent project management skills, including planning...SuggestedFull time
- ...analytics.- Advanced proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or similar tools.- Experience with MLOps practices for deploying and maintaining models in production environments.- Strong analytical foundation in mathematics, statistics,...Suggested
- ...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
- ...understanding of Data Engineering Technologies. Good understanding of Cloud Security Best Practices Good understanding on FinOps, AIOps, MLOps. Dream Sports , India's leading sports technology company, powers the fan journey for 300 million sports fans across entertainment,...
- ...cloud platforms (Azure/GCP) for training and deploying ML solutions.- Experience with Databricks is a plus.- Strong understanding of MLOps practices, reproducibility, and model monitoring.Other :- Excellent written and verbal communication skills in English.- Demonstrated...
- ...Proficiency with GPU infrastructure management, including scheduling, virtualization, and optimization. Exposure to security in MLOps/LLMOps practices including CI/CD for AI applications Proficiency in large language models (LLMs) such as GPT, BERT, T5, and exposure...For contractors
- ...insights. Preferred Skills Experience with agentic AI frameworks (good-to-have). Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices. Exposure to marketing mix modeling (MMM) and promotional analytics. Cross-Functional Collaboration Work closely...Work at officeWorldwide
- ...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...
- ...with a minimum of 6 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of...
Rs 2 - 6 lakhs p.a.
...Experience with federated learning, explainable AI (XAI), or multimodal learning in healthcare. Exposure to containerization (Docker) and MLOps practices for scalable AI deployments. Familiarity with PACS systems , FHIR , or integration with HL7 standards ....- ...Strong backend engineering skills with a focus on integrating AI solutions into existing infrastructures. Deep knowledge of DevOps and MLOps practices for automating production delivery of scalable AI applications. Demonstrated ownership of end-to-end project delivery...Long term contractContract workImmediate start
- ...endpoints, orchestration, data pipelines, and scalable APIs. We are looking for engineers who bring a software development mindset into MLOps — testing, monitoring, documentation, and reliability — while also understanding machine learning principles and LLMs in production...Hybrid workWork at officeWorldwide
$ 80 per month
...mission-critical. You'll help build the foundational systems that enable self-service AI-powered software engineering, data engineering, MLOps/LLMOps, and GenAI workloads, while democratizing access to trusted data and models. Your work will directly accelerate innovation...Long term contractHybrid workWork at officeRemote jobFlexible hours- ...: TF-IDF, embeddings, BERT, text preprocessing • Introductory exposure to Generative AI & LLMs (OpenAI / LLaMA) • Understanding of MLOps fundamentals (model lifecycle, experiment tracking, versioning) • Exposure to Flask for serving ML models via APIs Key Responsibilities...Internship
- ...recognizing talent in diverse and inclusive environments. Extensive practical cloud native experience and expertise in ML/AI platforms and MLOps. Advanced degree (PhD or Master's) in Computer Science, Machine Learning, Artificial Intelligence, or related technical field....
- ...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)...
- ...for payments use cases (fraud detection, risk optimization, spend prediction, SR improvement). Familiarity with model deployment and MLOps practices. Experience with cloud platforms (AWS, GCP, Azure) for AI model implementation. Understanding predictive analytics and...Full time
- ...fundamentals is a plus. Technical Platform- include proficiency on Google Cloud Platform, SQL, Python and R Technical Concepts- MLOps, Containerization, Data Lineage and Visualization Experience working with an Agile development methodology featuring sprints, point...Full timeFor contractorsHybrid workWork at officeRemote jobShift work
