Average salary: Rs490,052 /yearly
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Rs 5 - 9.5 lakhs p.a.
...Key Responsibilities: MLOps Pipeline Development: Design, build, and maintain end-to-end MLOps pipelines for deploying ML and GenAI models. Automation: Automate model training, validation, deployment, and monitoring using industry best practices. CI/CD Optimization...Suggested- Description : Role : MLOPS Engineer 3Candidates Required : 1Focus : Production architecture development with scalable & stable infrastructure. Act as a bridge between DS and Dev.Experience : 4-5 YearsSkillset :Productionization : - Expert in deploying models using Nvidia Triton...Suggested
- ...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
Rs 6 - 11 lakhs p.a.
~5 years of experience in MLOps and building ML pipelines ~ Deep understanding of the MLOps lifecycle and automation of ML workflows ~ Proficient in Python 310 and related libraries such as pandas NumPy and TensorFlow ~ Strong experience in GPU accelerators and CUDA for...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
- Description :Role Summary :We are hiring a DevOps & MLOps Platform Engineer to enable reliable, secure, and repeatable delivery of AI and data products across the organization. This role will own the end-to-end engineering enablement layer for product releases spanning CI/CD...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
Rs 4 - 8 lakhs p.a.
Preferred Skills: Knowledge of *AWS Cloud* services (S3, EC2, SageMaker, etc.). Experience with IaC tools like *Terraform* or *CloudFormation*. Understanding of distributed systems and parallel computing for ML pipelines. Soft Skills: Strong problem-solving and...Suggested- About the Role: As a Machine Learning Operation Engineer, you will work on deploying, scaling, and optimizing backend algorithms, robust and scalable data ingestion pipelines, machine learning services, and data platforms to support analysis on vast amounts of text and analytics...SuggestedHybrid workFlexible hours
- ...Random Forest, Boosting Trees, SVM, ARIMAX, LSTM, Deep Learning etc.- Strong experience in AI/ML frameworks (TensorFlow, PyTorch, Keras), MLOps practices, and automation tools for continuous model deployment and monitoring.- Proficient in big data technologies (Hadoop, Spark),...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
- ...for AI initiatives (e.g., predictive maintenance agents, RAG-based proposal systems).- Coordinate with Data Scientists, AI Engineers, MLOps, and Developers for end-to-end delivery from ideation to production deployment.- Implement Agile/Scrum methodologies, manage risks, and...SuggestedImmediate start
- ...manage data pipelines, vector databases, and Elasticsearch integrations for real-time knowledge retrieval and decision-making.- Implement MLOps, CI/CD, and DevOps practices using Kubernetes, Docker, Jenkins, and Ansible for robust deployment and monitoring.- Ensure high...Suggested
- ...feature engineering, insight summarization, decision support, or unstructured data analysis) Knowledge of model deployment tools and MLOps practices, including GitHub and Airflow Understanding of data visualization frameworks such as PyDash, Flask, and Plotly Strong...SuggestedLong term contractRelocation packageRemote job
- ...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,...Suggested
- ...protection/PII handling, evaluation standards, auditability, and human-in-the-loop patterns where needed. Build and standardize modern MLOps approaches across the lifecycle: reproducible pipelines, model registries, CI/CD for models and prompts, automated testing/evals,...Long term contractInterim roleHybrid workWork at officeRemote jobFlexible hours
- ...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...
- ...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
- ...and ML systems, including CI/CD pipelines, automated testing, cloud deployments, and production support. Own the ML model lifecycle (MLOps) from experimentation to production, ensuring model versioning, development, monitoring, retraining, and governance using tools such...For contractors
- ...Responsibilities : Design ML design and Ops stack considering the various trade-offs. Statistical Analysis and fundamentals MLOPS frameworks design and implementation Model Evaluation best practices -Train and retrain systems when necessary. Extend existing...
- ...and operate enterprise-grade AI platforms. This role is pivotal in designing and scaling infrastructure across training, inference, and MLOps, ensuring reliability, security, and performance for production AI systems. Position Type: Permanent Mode of Interview:...Permanent employmentHybrid workImmediate start
- ...automation workflows intuitive and accessible. Collaborate with global stakeholders and architects to implement cost-effective data and MLOps pipelines; document methodologies. Build, package, and configure complex software systems across Linux. Improve efficiency,...
- ...building RESTful APIs using FastAPI / Flask Solid knowledge of data preprocessing and feature engineering techniques Good to Have Experience with cloud platforms (AWS/GCP/Azure) Exposure to MLOps tools and model deployment Familiarity with Docker/Kubernetes...Full time
- ...of 10 years of experience in Data Science and Machine Learning. The ideal candidate should have expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom,...Hybrid workFlexible hours
- ...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....
- ...Lifecycle Management: Oversee the full model lifecycle, including validation, monitoring, performance optimization, and drift management (MLOps). Security Integration: Support the integration of AI solutions with existing platforms (SIEM, SOAR, VM) through APIs and...Full time
- ...intelligent observability, and anomaly detection- Partner with Data Science and ML Platform teams to productionise ML models with robust MLOps pipelines- Build team literacy in prompt engineering, RAG (Retrieval-Augmented Generation), and AI agent frameworks- Create an...Long term contractFull timeShift work
- ...technical and non-technical stakeholders.- Ability to work in a fast-paced, team-oriented environment.Nice-to-Have : - Experience with MLOps tools (e.g., MLflow, Kubeflow) for model tracking and deployment.- Familiarity with front-end or back-end development (e.g.,...
- ...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
- ...Inference Optimization: Experience with techniques like KV-caching, compile-time optimizations, or kernel fusion for transformers. MLOps: Familiarity with experiment tracking (W&B) and model versioning tools in a generative media context. Streaming: Experience handling...Full time
