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Manager II - Sales Support

Manager II - Sales Support

UST

5 - 9 years

0 Lacs

karnataka

Posted:1 week ago| Platform: Shine logo

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Skills Required

data modeling data architecture data integration data warehousing snowflake spark hadoop sql nosql solution architecture business analysis solution selling presentation skills communication skills etlelt processes data lakes databricks azure data lake storage aws s3 google cloud storage machine learning algorithms tensorflow pytorch scikitlearn mlops principles explainable ai xai concepts genai frameworks

Work Mode

On-site

Job Type

Full Time

Job Description

Job Description: As a skilled Data Architect with a deep understanding of the data landscape, you will be responsible for data modeling and architecture, data integration, ETL/ELT processes, data warehousing, and data lakes using technologies such as Snowflake, Databricks, Azure Data Lake Storage, AWS S3, and Google Cloud Storage. You will also work with big data technologies like Spark and Hadoop, as well as database systems including SQL and NoSQL. Additionally, you will ensure data governance, quality, and security principles are implemented effectively. Your proficiency in machine learning algorithms, frameworks, and libraries such as TensorFlow, PyTorch, and scikit-learn will be crucial for feature engineering, model selection, training, evaluation, and model deployment following MLOps principles. Familiarity with Explainable AI (XAI) concepts and GenAI frameworks and tools will further enhance your role. Key Responsibilities: - Deep understanding of data modeling, architecture, and integration processes - Proficiency in machine learning algorithms and frameworks - Experience in model deployment and monitoring following MLOps principles - Knowledge of large language models (LLMs) like GPT, BERT, and GenAI frameworks - Solution architecture skills to design end-to-end technical solutions - Ability to analyze business requirements and translate them into technical solutions - Solution selling by articulating value propositions to technical and non-technical audiences - Excellent presentation and communication skills to explain complex technical concepts clearly Qualifications Required: - Solid understanding of machine learning algorithms (supervised, unsupervised, deep learning) - Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) - Knowledge of large language models (LLMs) like GPT, BERT, and their applications - Experience with GenAI frameworks and tools (e.g., OpenAI API, Hugging Face Transformers) - Understanding of solution architecture, cloud platforms (AWS, Azure, GCP), and their services - Ability to analyze business requirements and craft compelling technical proposals - Excellent verbal and written communication skills for effective presentation and communication,

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Manager II - Sales Support