WattMonk - Software Solution Architect AI

Software Solution Architect

Job Responsibilities :

• Define, design, and deliver ML architecture patterns operable in native and hybrid cloud architectures.
• Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML model training and deployment in enterprise applications.
• Perform research activities to identify emerging technologies and trends that may affect the Data Science / ML lifecycle management in the enterprise application portfolio.
• Lead total solution design from requirements analysis, design, and engineering for data ingestion, pipeline, data preparation & orchestration, applying the right ML algorithms on the data stream and Hands-on programming and architecture capabilities in Python, Java, R, or Scala.
• Minimum 8+ years of experience in enterprise applications development.
• Experience in implementing and deploying Machine Learning solutions using various models such as Linear / Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.
• Strong hands-on experience with statistical packages and ML libraries (e.g., R, Python scikit-learn, Spark MLlib, etc.).
• Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.).
• Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.).
• Hands-on experience in RDBMS, NoSQL, big data stores like Elastic, Cassandra, HBase, Hive, HDFS.
• Work experience as a Solution Architect / Software Architect / Technical Lead.
• Experience with open-source software.
• Excellent problem-solving skills and ability to break down complexity.
• Demonstrated technical expertise around architecting solutions around AI, ML, deep learning, and related technologies.
• Developing AI / ML models in real-world environments and integrating AI / ML using Cloud-native or hybrid technologies into large-scale enterprise applications.
• In-depth experience in AI / ML and Data analytics services offered on Amazon Web Services and / or Microsoft Azure cloud solutions and their interdependencies.
• Specializes in at least one of the AI / ML stack (Frameworks and tools like MxNET and TensorFlow, ML platforms such as Amazon SageMaker for data scientists, API-driven AI Services like Amazon Lex, Amazon Polly, Amazon Transcribe, Amazon Comprehend, and Amazon Rekognition to quickly add intelligence to applications with a simple API call).
• Demonstrated experience developing best practices and recommendations around tools / technologies for ML lifecycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, MLOps, Model Deployment approaches, and Model monitoring and tuning.

(ref : iimjobs.com)