The Senior MLOps Engineer designs, develops, and implements machine learning models and statistical algorithms to address business problems. Responsibilities include the complete model development lifecycle, conducting exploratory data analysis, collaborating with cross-functional teams, mentoring junior data scientists, and ensuring model deployment and scalability on cloud platforms.
Senior MLOps Engineer
Primary Skills
- Skills – ML, MLOps, statistical machine learning, traditional ML , predictive modelling, classical ML models (such as bagging, boosting, regression, classification, etc.), data visualization, and Python (with pandas and PySpark SQL expertise).
Job requirements
- Years of experience- 6+ Years
- Role- Senior MLOps Data Engineer
- Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(Kubeflow, Bantom), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio.
- Key Responsibilities: Model Development & Implementation: Design, develop, and implement machine learning models and statistical algorithms to solve business problems (e.g., predictive modeling, classification, recommendation systems, NLP).
- Own the end-to-end lifecycle of model development: from data exploration and feature engineering to model training, deployment, and monitoring.
- Data Analysis & Insights Generation: Perform in-depth exploratory data analysis (EDA) to identify trends, patterns, and opportunities. Translate complex data into clear and actionable business insights.
- Business Collaboration: Partner with stakeholders (Product, Engineering, and Business teams) to understand requirements and deliver impactful data science solutions.
- Communicate findings and model outcomes effectively to technical and non-technical audiences.
- Technical Leadership: Guide and mentor junior data scientists in best practices, model optimization, and advanced techniques.
- Act as a thought leader, contributing to the strategic roadmap of data science initiatives.
- Scalability and Deployment: Collaborate with Data Engineers and ML Engineers to productionize models using cloud platforms (AWS, GCP, Azure) and MLOps frameworks. Ensure models are robust, scalable, and integrated with business workflows.
- Continuous Improvement: Monitor model performance post-deployment and iterate on models to improve accuracy and business value. Stay up-to-date with the latest tools, techniques, and trends in machine learning and data science.
- Key Skills Machine Learning (Supervised/Unsupervised) Python/R, TensorFlow, PyTorch, Scikit-learn Data Analysis and Feature Engineering SQL, Spark, Big Data Technologies Cloud Platforms (AWS, Azure, GCP) A/B Testing and Statistical Analysis Excellent Communication and Collaboration Skills
Top Skills
AWS
Azure
Bantom
GCP
Kubeflow
Pyspark
Python
PyTorch
R
SAS
Scikit-Learn
Spss
SQL
TensorFlow
Similar Jobs
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Seeking a Lead Developer to build and deliver enterprise-level services using microservices architecture and Kubernetes. Requires 8+ years of experience in cloud systems and service architecture, expertise in multiple programming languages, and skills in CI/CD processes. Leadership and mentoring experience are essential.
Top Skills:
.NetActivedirectoryApacheApigeeApp-DynamicsAWSAzureC#C++Ci/CdEdirectoryGoGrafanaGrpcIis ServerJavaJSONKongKubernetesMulesoftMySQLOraclePrometheusProtobufSiteminderSplunkTibcoTomcatWeblogicWebsphereWily Introscope
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
As a Software Engineer at Caterpillar, you will design, develop, and deploy digital applications, working with modern frameworks like React and Angular. Responsibilities include collaborating across teams, mentoring junior engineers, managing complex systems, and implementing best practices for software quality and performance. A solid understanding of web technologies and cloud development is essential.
Top Skills:
AngularAWSAzureCSSCypressHTMLJavaScriptNode.jsPlaywrightReactReduxSassTypescriptVitejsWebpack
Artificial Intelligence • Cloud • Internet of Things • Software • Cybersecurity • Industrial
The Software Engineer will drive the development of cloud-based web applications, providing technical delivery according to specifications. Key responsibilities include applying Java and related technologies, analyzing requirements, and collaborating with the team to create technical specifications and estimates.
Top Skills:
AjaxAWSAzureEclipseGitHibernateJ2EeJavaJdbcJpaJSONJunitMavenRestSpring BootSQLWeb Services
What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
