Job Description

Key Responsibility:You will be responsible for executing & managing assigned client engagements at an executive & relationship level within the practice. You can expect to work with external & internal client\'s personnel to contribute to project deliverables, documentation, process mapping, narratives reviews and reporting of key activities and deliverables.Skills and attributes for success:- 7+ years of development experience using Python, PySpark Experience with Pandas, NumPy, scikit-learn is must.- Knowledge of various ETL Techniques and data warehousing, or similar skills- Proven record in building Python code for AWS services- Familiarity with serverless architecture and Lambda functions- Understanding of databases (Dynamodb and Postgresql) and SQL is a plus.- Configure security and data protection settings on AWS environment.- 5+ years of experience in developing ML infrastructure and MLOps in the Cloud using AWS SageMaker.- 5+ years of Model development experience with Deep Learning, ARIMA, Random Forest, Linear Regression, Logistic Regression. Extensive experience working with machine learning models with respect to deployment, inference, tuning, and measurement required.- Perform Data Modelling, transformation, and validation with high quality output.- Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools Spark or other distributed data processing frameworks.- Experience with CI/CD tools (e.g., Jenkins or similar tools), version control (Github), orchestration tools (AWS Step Functions, Airflow, Luigi, Kubeflow, or equivalent)- Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation- Advance expertise in data management using Technologies such as SQL; Develop, implement, and optimize stored procedures.- Design, configure, develop, and implement enhancements and production fixes to existing systems using Python.- Experience in building APIs using AWS services, specifically using Python, Lambda and API gateway.Experience & Professional Pre-Requisites- A bachelor\'s degree in engineering, mathematics, statistics, finance, economics, or in a related field.- At least 9 years of Professional experience in advanced analytics and at least 3+ years\' experience in pricing analytics- Experience in smartphone Trade-In pricing is a plus or pricing analytics experience with similar electronic products.- Applying statistical modeling methods to determine the potential impact of pricing strategies on profitability.- Recommending pricing strategies that align closely with market trends and identifying new market segments.- Developing dynamic pricing tools to effectively respond to changing market needs and trends.- Preparing and presenting pricing analysis findings to executives, marketing teams, and sales staff.- Experience in collaborating on pricing strategies with sales and marketing departments.- Operationalize ML Models at scale.- Build tools to help detect shifts in data features used by ML models to help identify issues in advance of deteriorating prediction quality, monitoring the uncertainty of model outputs, automating prediction explanation for model diagnostics.- Exploring new technology trends and leveraging them to simplify our data and ML ecosystem.- Excellent analytical and communication skills.- Advanced ability to present pricing analysis reports to relevant stakeholders.- Excellent interpersonal skills and ability to find solutions quickly.- Experience with model development and maintenance, and code debug- Experience with client management- Flexible to work extended hours & varied shift timings basis business requirements.- Exceptionally good MS office skills including MS Visio & MS Project applications is a plus.

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