Key skills
Data StructuresData ModelingSoftware ArchitectureMathematicsProbabilityStatisticsAlgorithmsMicrosoft Azure Machine LearningGoogle Cloud Machine LearningIBM WatsonAmazon Machine LearningHadoopSparkPythonRPySparkSupervised Machine LearningUnsupervised Machine LearningLinear RegressionLogistic RegressionK-means ClusteringEnsemble ModelsRandom ForestSupport Vector MachineGradient BoostingBaggingBoostingBootstrappingMachine Learning AlgorithmsMachine Learning LibrariesData CollectionData CleaningData PreprocessingModel TrainingModel DeploymentData VisualizationValidation StrategiesFeature EngineeringData AugmentationError AnalysisData PipelinesModel PipelinesInfrastructure ManagementIndependent ThinkingMachine LearningAzureGoogle Cloud
About this role
MNJ SOFTWARE is one of Information Technology’s fastest growing companies, offering IT services, business solutions, and outsourcing. They are seeking a Machine Learning Engineer to design, develop, and implement custom projects and products, collaborating with various stakeholders to achieve business objectives.
Responsibilities:
- Work with Data Scientists and Business Analysts to frame problems in a business context
- Assist all the processes from data Collection, Cleaning and Preprocessing to training models and deploying them to production
- Understand Business Objectives and Developing models that help to achieve them, along with metrics to track their progress
- Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world
- Define validation Strategies, Preprocess or Feature engineering to be done on a given Dataset and Data augmentation pipelines
- Analyze the errors of the model and design strategies to overcome them
- Collaborate with data engineers to build data and model pipelines
- Manage the Infrastructure and Data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (Including, but not limited to, the machine learning algorithms) being created
Requirements:
- Experience: 3-6 yrs
- Fluency in oral and written English is required
- Qualification: ME/M.TECH/BE/B.TECH/MCA/M.Sc(IT) etc
- Understanding of data structures, data modeling and software architecture
- Deep knowledge of Math, Probability, Statistics and Algorithms
- Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson and Amazon
- Big Data Environment: Hadoop, Spark
- Programming Languages: Python, R, PySpark
- Supervised & Unsupervised Machine Learning: Linear Regression, Logistic Regression, K-means Clustering, Ensemble Models, Random Forest, SVM, Gradient Boosting
- Sampling Data: Bagging & Boosting, Bootstrapping
- Experience of machine learning Algorithms and Libraries
- Must be Analytical and possess good problem-solving capabilities
- Independent thinker
- Certification: Optional