Average salary: Rs393,333 /yearly
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- ...Job Title: RunOps Support – MLOps Job Type: Full-Time Location: Hybrid – Hyderabad, Pune, New Delhi About Us At micro1 we're building the world's first AI recruitment engine to match the world's most talented people with their dream jobs. As a core team member...SuggestedFull timeHybrid workRemote job
Rs 1 - 4 lakhs p.a.
...AI Opportunities with Soul AIs Expert Community!. Are you an MLOps Engineer ready to take your expertise to the next levelSoul AI (by Deccan AI) is building an elite network of AI professionals, connecting top-tier talent with cutting-edge projects. Why Join Above market...SuggestedContract workFreelanceRemote jobRs 6 - 25 lakhs p.a.
...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- Description :Spectral Consultants is hiring for a Senior MLOps Engineer (GenAI / LLM) with one of the leading US Product based organization.Location : NoidaWork Mode : RemoteExperience : 5 to 10 yearsThe candidate is responsible to build and scale production-ready ML & GenAI...Suggested
Rs 4 - 25 lakhs p.a.
...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- • 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
- ...know us atgenpact.comand onLinkedIn,X,YouTube, andFacebook Inviting applications for the role of Principal Consultant -Lead MLOps Engineer! In this role, you will define, implement and oversee the MLOps strategy for scalable, compliant, and cost-efficient deployment...Suggested
- ...learn, effect change, and make meaningful contributions at work and in communities. Role Overview: We are seeking a Dev/MLOps Engineer to be the backbone of our AI tool development and deployment efforts. This role sits at the intersection of data science, engineering...Suggested
- ...Role: MLOps / Platform Engineer Location: Hybrid (Hyderabad / Gurugram) Duration: 9 months Contract Hybrid Schedule: 70-80% Remote, On-site as needed/Work Hours: 2:30pm - 11:30pm IST Position Description: Scope: MLOps / Platform Engineer will own the deployment...SuggestedContract workHybrid workRemote job
- Profile : Machine EngineerExperience : 2 To 6 YearsRequirement : - Python, pandas, NumPy, MySQL- Data Visualization, Matplotlib, Seaborn, Data Cleaning- Deep Learning : ANN, CNN, DNN, Back Propagation, TensorFlow 2.x, Keras- Web scraping : various library- Natural Language processing...SuggestedFull timeWork at office
- ...Machine Learning Engineer — AI Data Trainer About The Role What if your technical expertise could directly influence how the world's most advanced AI systems learn to reason, plan, and solve problems We're looking for experienced Machine Learning Engineers to help train...SuggestedHourly pay40 hours per weekOngoing contractContract workFreelanceRemote jobFlexible hours
Rs 4 - 6 lakhs p.a.
Qualifications Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Strong programming skills in Python and experience with machine learning libraries (Scikit-learn, TensorFlow, PyTorch). Understanding of statistical analysis...SuggestedRs 5 - 9 lakhs p.a.
...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,...SuggestedRs 5.5 - 9 lakhs p.a.
...Role Summary: We are seeking a results-driven and innovative Machine Learning Engineer with 6+ years of experience in developing, deploying, and optimizing machine learning models in production environments. The ideal candidate will have strong programming skills, hands-on...Suggested- Machine Learning Engineer Start Date Starts Immediately CTC (ANNUAL) Competitive salary Competitive salary Experience...SuggestedFull timeImmediate startRemote job
- ...Job Title: MLOps Engineer Job Type: Full-time(8hours/day) Contract Location: Hybrid – Gurugram Job Summary: We are seeking an experienced MLOps Engineer to join our customer's team in a hybrid role based in Gurugram. You will play a pivotal role in enabling seamless...Full timeContract workHybrid work
- ...Top-tier Kaggle competition results (Grandmaster or Master level) — demonstrating deep command of model performance and feature engineering Background in AI safety, RLHF, or reasoning-focused ML research Experience reviewing or producing technical documentation at...Hourly pay40 hours per weekOngoing contractContract workFreelanceRemote jobFlexible hours
- ...Senior Machine Learning Engineer (AI Training) About The Role What if your deep expertise in machine learning could directly influence how the next generation of AI systems reason, plan, and solve problems We're looking for Senior Machine Learning Engineers to author high...Hourly pay40 hours per weekOngoing contractContract workFreelanceRemote jobFlexible hours
- ...:We are seeking a highly skilled and versatile Machine Learning Engineer (with GenAI expertise) who combines strong software engineering fundamentals... ...structured and unstructured data (documents, embeddings, logs).MLOps & LLMOps :- Implement CI/CD pipelines for ML and GenAI systems.-...Full time
- ...extraordinary future. About This Role: As a Senior Machine Learning Engineer, this individual will be challenged to develop enterprise-grade... ...ownership in AWS environments. Strong experience with MLOps practices and scalable ML architectures, from experimentation to...Full timeHybrid work
- Description :Role : ML Ops EngineerExp : 3-5yrsLocations : Responsibilities :- Design, implement, and manage scalable machine learning (ML) pipelines using Azure ML, Databricks, and PySpark.- Build and maintain automated CI/CD pipelines with Github and Github Action, incorporating...
- ...reliabilityJob Description :We are looking for a highly skilled ML Ops Engineer to design, build, and manage scalable machine learning pipelines... ...strong expertise in PySpark/Python, Databricks, and end-to-end MLOps lifecycle management, with hands-on experience in deploying and...
- ...Collaboration: Work closely with data scientists and software engineers to transition ML models from research to production Security... ...of experience in ML project management, with a recent focus on MLOps Additional Competencies ~ AI Technologies Deployment, Data...
- ...applications Collaborate with cross-functional teams including engineering, data, and business stakeholders Perform data preprocessing,... ...scoring models Exposure to cloud platforms (AWS, Azure, or GCP) Knowledge of MLOps practices and model deployment pipelines...Full time
- ...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,...
- ...Designation: AI/ML Engineer Location: Gurugram Experience: 3+ years Budget: Upto 35 LPA Industry: AI Product Role and Responsibilities: Model Development: Design, train, test, and deploy machine learning models using frameworks like Pytorch and TensorFlow...
- Description :Summary :Build offline AI modules for forecasting, anomaly detection, and KPI report generation.Responsibilities :- Preprocess large KPI datasets (Pandas/NumPy)- Implement time-series forecasting (NeuralProphet / N-BEATS)- Implement anomaly detection (IsolationForest...
- ...performance Collaborate with the team to deploy AI features into production What We Offer Direct mentorship from senior AI engineers Hands-on experience with real production AI systems from day one Fast-paced and collaborative learning environment Flexible...TraineeshipFlexible hours
- Curious about the role? What your typical day would look like : As an AI/ML Engineer specializing in Generative AI and NLP, you will be at the forefront of AI innovation. You will design and deploy sophisticated models, focusing on Vertex AI to build Agentic workflows that solve...
- ...Implement and optimize machine learning algorithms using frameworks such as TensorFlow, PyTorch, or scikit-learn. Collaborate with data engineers, product managers, and software developers to integrate AI solutions into applications and systems. Monitor, evaluate, and...
