Average salary: Rs565,546 /yearly
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- ...and deployment Collaborate with data scientists and software engineers to operationalize ML models Develop and maintain CI/CD pipelines... ...(AWS) and their ML-specific services Experience with MLOps tools Strong understanding of DevOps practices and tools (GitLab...Suggested
- ...Key Responsibilities: MLOps Implementation: Deploy and manage machine learning models in production environments. Implement best... ...and Communication: Work closely with data scientists, engineers, and stakeholders to operationalize ML solutions. Ensure smooth...SuggestedContract work
- ...Job Description We are looking for an experienced MLOps Engineer to join our team. The ideal candidate will design, implement, and manage robust MLOps pipelines, enabling seamless deployment and monitoring of machine learning models. This role offers the opportunity...Suggested
- ...Job Title: MLOps Engineer Job Type: Full-time Contract Location: Hybrid – Gurugram Job Summary We are looking for an experienced MLOps Engineer to support end-to-end model development, deployment, and monitoring in a hybrid role from Gurugram. You will work...SuggestedFull timeContract workHybrid work
- ...training, evaluation, and deployment. Collaborate with data scientists and software engineers to operationalize ML models using serving frameworks (TensorFlow Serving, TorchServe) and MLOps tools. Develop and maintain CI/CD pipelines for ML workflows. Implement...SuggestedHybrid workFlexible hours
- ...Be An Essential Part Of Everyday Life Position: MLOPs Engineer (m/f/x) Contract Type: Full time- Permanent Location: India DHL Supply chain are seeking an experienced MLOps Engineer to join our dynamic team at DHL Supply Chain. In this pivotal role, you will ensure...SuggestedPermanent employmentFull timeContract work
- ...Role: MLOps Engineer Required Experience: 3 - 5 years Job Location: : Gurugram Job Description: Must Have Skills: Cloud development (Capable),ML Ops - MLE Key Responsibilities: Collaborating with data scientists to understand model requirements...Suggested
- 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
- • 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
- ...Facebook. Inviting applications for the role of Manager ML Ops Engineer Agentic AI In this role youll be part of Genpacts... ...and efficient machine learning operations. Utilize DevOps and MLOps Tools: Leverage DevOps and MLOps tools to streamline workflows automate...SuggestedFull timeShift work
- ...button! Location: Hybrid Job Brief: As a Machine Learning Engineer specializing in Computer Vision (CV) and Natural Language... ...Experience with cloud platforms (e.g., AWS) for model deployment and MLOps. Recruitment Process: Our hiring process combines AI-...SuggestedContract workHybrid workFlexible hours
- ...Sprinklr to help them deliver consistent, trusted customer experiences worldwide. Job Description Role: In your role as Senior ML Engineer with us , you will be tasked with creating and delivering novel Machine Learning solutions for next generation of digital...SuggestedLocal areaImmediate startWorldwide
- ...PyTorch/TensorFlow, NumPy, Pandas, and Scikit-learn. ~ Hands-on experience with sequence models (RNN/LSTM/GRU/CNN). ~ Familiarity with MLOps tools (Weights & Biases, MLflow) and edge deployment pipelines. ~ Strong debugging, version control (Git), and collaborative...Suggested
- ...Collaborate on CI/CD workflows using Jenkins and GitLab. Troubleshoot production issues ensuring high availability. Mentor junior engineers and enforce DevOps best practices. Must-Have Skills: Golang (Mandatory) and Python expertise. Strong hands-on with KEDA,...Suggested
- ...Position Summary: The Machine Learning Engineer is responsible for designing, building, deploying, and optimizing machine learning models... ...preprocessing, training, validation, deployment). Implement MLOps best practices, including CI/CD for ML, versioning, monitoring, and...Suggested
- ...Job Title: Senior Machine Learning Engineer Location: Remote Experience: 5+ Years Job Overview We are seeking a highly skilled... ...to drive actionable insights. Adopt and enforce modern MLOps best practices for CI/CD, experiment tracking, model versioning,...Remote job
- Job Title: Machine Learning Experience Range: 6+ Years Location: Delhi/ Gurgaon/ Noida Required Skill set: Machine Learning: # Python (Advance level with complex algorithms) # R (Advance level with complex algorithms) Visualization # Monitoring with ...
- ...About the Role We are seeking an ML Engineer who can design and implement AutoML pipelines and agentic systems that support real-world chemical and materials-science projects across multiple data modalities. You will work closely with domain experts, software engineers, and...
- ...Job Description We are seeking an experienced Machine Learning Engineer with a strong background in Natural Language Processing (NLP) and... ...MySQL, PostgreSQL ), ETL processes, and SQL. 3. Experience with MLOps practices and tools like Docker , Kubernetes , and cloud...Hybrid work
- ...team operates at the intersection of Machine Learning science, engineering, and operations, working in a fast-paced Agile environment to build... ...and internal data-driven tools. Implement and optimize MLOps practices for reproducibility, CI/CD, feature store management,...Full timeLocal areaFlexible hours
- ...Explore and experiment with techniques and algorithms to find the optimum solution. Build and deploy models end-to-end for product engineering teams to use. Play around with data and extract actionable insights. Explore generative AI models and build solutions to...
- ...as FinTech, LegalTech, Healthcare, Media, Hospitality, and Airlines. Role Description This is a full-time role for a Senior ML Engineer based in Bangalore or New Delhi. The Senior ML Engineer will be responsible for designing, developing, and deploying cutting-edge Machine...Full time
- ...Senior Machine Learning Engineer - AI Data Trainer ~ Location: Remote About The Job At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models. This project is about capturing how an LLM reasons and takes...Hourly pay40 hours per weekContract workFreelanceRemote jobFlexible hours
- ~ We are looking for a highly capable machine learning engineer to optimize our machine learning systems. ~ You will be evaluating existing... ...) for data handling ~ Know-how of Databricks, H20Driverless or MLOPs environment is a good to have ~ Advocating the application of...
- We're looking for a skilled Senior Machine Learning Engineer to help us transform the Insurtech space. You'll build intelligent agents and models that read, reason, and act. Insurance Ops Are Broken. Underwriters Drown In PDFs. Risk Clearance Is Chaos. Emails Go In Circles...
- ...data pipelines Docker Kubernetes AWS Requirements About the Role We are seeking a talented and passionate Machine Learning Engineer to join our growing team. In this role, you will be responsible for developing and implementing machine learning models to solve real...Work at officeShift work
- ...team operates at the intersection of Machine Learning science, engineering, and operations, working in a fast-paced Agile environment to build... ...and internal data-driven tools. Implement and optimize MLOps practices for reproducibility, CI/CD, feature store management,...Full timeLocal areaFlexible hours
- ...impactful solutions. Role Description This is a full-time, on-site role located in Gurugram for a Machine Learning (ML) Systems Engineer. The ML Systems Engineer will focus on designing and implementing robust systems for machine learning applications, troubleshooting...Full time
- ...independently. You will design, fine tune and deploy large language models (LLMs), create internal tools that allow product managers and engineers to generate front end and back end components with minimal friction, and scale adaptive fraud risk models for real time transactions...Hybrid workWork at officeLocal areaRemote jobFlexible hours
- Roles & Responsibilities: ~3+ years of experience in Python, machine learning, and banking model development. ~ Interact with clients to understand requirements and provide analytical/modeling solutions. ~ Design, build, and implement credit risk models. ~ Structure...
