MLOps Engineer

Role & responsibilities Design and implement scalable AI/ML models for real-world business applications. Manage the end-to-end ML model lifecycle: data acquisition, preprocessing, training, validation, deployment, and monitoring. Collaborate with data engineers, software developers, and product managers to integrate AI seamlessly into products and solutions....

Classical ML- XGBoost, Random Forest, SVM, Deep Learning- CNNs, RNNs, LSTMs, Transformers, NLP- BERT, GPT, LLaMA, T5, GenAI- Diffusion models, LLM fine-tuning, prompt engineering, Python, SQL, and ML libraries-scikit-learn, Hugging Face, LangChain Required Candidate profile Experience with cloud platforms (Azure, AWS, GCP) and MLOps tools (AML, MLflow,...

What does day-to-day look like: Develop and maintain DS/ML solutions, including data pipelines, model training, evaluation, and optimization. Collaborate with business stakeholders to gather and clarify requirements Translate business requirements into DS/ML code that accurately reflects business logic Write efficient, maintainable, and well-documented DS/ML...

Role & responsibilitiesDesign and implement scalable AI/ML models for real-world business applications.Manage the end-to-end ML model lifecycle: data acquisition, preprocessing, training, validation, deployment, and monitoring.Collaborate with data engineers, software developers, and product managers to integrate AI seamlessly into products and...

We are seeking a highly skilled Machine Learning Lead with a minimum of 5+ years of proven experience in developing, deploying, and optimizing computer vision projects in production environments. The ideal candidate should have hands-on expertise in building and scaling computer vision solutions such as object detection, facial recognition, defect detection,...

Education Bachelors or Masters degree in Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline; PhDs preferredSpecialization or research in applied machine learning, MLOps, or ML systems preferredExperience7+ years of experience designing, developing, and deploying ML models in production environments4+ years of experience...

What does day-to-day look like:Develop and maintain DS/ML solutions, including data pipelines, model training, evaluation, and optimization.Collaborate with business stakeholders to gather and clarify requirementsTranslate business requirements into DS/ML code that accurately reflects business logicWrite efficient, maintainable, and well-documented DS/ML...

Job DescriptionThe technology that once promised to simplify patient care has brought more issues than anyone ever anticipated.At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions.Data is our bread and butter for innovation.We are looking for...

We are seeking a highly skilled Machine Learning Lead with a minimum of 5+ years of proven experience in developing, deploying, and optimizing computer vision projects in production environments. The ideal candidate should have hands-on expertise in building and scaling computer vision solutions such as object detection, facial recognition, defect detection,...

Databricks Data Engineer Experience: 3-6 yearsLocation: IndiaCompensation: Up to 30 LPA Key Responsibilities Design, develop, and maintain data pipelines and ETL workflows using Databricks and Apache Spark Implement Delta Lake and Medallion architecture (Bronze/Silver/Gold layers) for structured data processing Integrate data from multiple sources into...