2 - 5 years
7 - 17 Lacs
Posted:4 days ago|
Platform:
Work from Office
Full Time
(1) Build and optimize data pipelines for efficient data extraction, transforming/processing, and storage from various data sources;
(2) Perform data cleaning, preprocessing, data quality checks, and feature engineering to prepare datasets for modeling;(3) Evaluate and select appropriate machine learning algorithms and techniques for specific tasks;
(4) Conduct statistical analysis on large datasets to derive actionable insights and drive decision-making. Proficiency in statistical analysis concepts such as probability distributions, hypothesis testing, regression analysis, etc. is required;
(5) Collaborate with cross-functional teams to understand business requirements for analysis and translate them into technical solutions primarily dashboards and interactive analytical interfaces;
(6) Expertise and significant experience in Designing, developing, and implementing PowerBI / Tableau / Looker Studio data dashboards and data models;
(7) Familiarity with data structuring required for AI/ML models to solve complex business problems;
(8) Monitor model performance and conduct regular maintenance to ensure optimal functionality;
(9) Stay updated with the latest advancements in AI/ML technologies and contribute to innovation within the organization.
(1) Bachelors or master’s degree in computer science, Data Science, Statistics, or a related field;
(2) Minimum of 2 to 3 years of experience in handling large data, analysis, and modelling;
(3) Experience in working in not-for-profit development sector in India is an added advantage;(4) Experience in developing and deploying AI/ML models in production environments is desirable;
(5) Expertise with data engineering concepts, including ETL processes, data warehousing, and data lakes;
(6) Familiarity with ETL frameworks like Apache Spark with PySpark;
(7) Familiarity as a Python Developer with a focus on AI/ML modeling and data engineering;
(8) Knowledge of common machine learning algorithms and proficiency in implementing them using Python libraries like Scikit-learn. Understanding how to evaluate model performance using statistical metrics such as accuracy, precision, and recall is also required.
(1) Strong proficiency in Python programming and libraries such as TensorFlow, PyTorch, Scikit-learn, Pandas, Dask, NumPy, etc;
(2) Skilled in data visualization techniques using Python libraries such as Matplotlib, Seaborn, or Plotly;
(3) Demonstrate the ability to apply statistical analysis concepts using Python libraries like NumPy, SciPy, Pandas, etc to analyze datasets and extract meaningful insights;
(4) Solid understanding of machine learning algorithms, statistical methods, and data structures;
(5) Proficiency in developing dashboards using commonly available platforms like PowerBI and Looker Studio;
(6) Development capability in PowerApps and/or Firebase is a plus;
(7) Proficiency in SQL and relational database management systems (e.g., MySQL, PostgreSQL);
(8) Knowledge of cloud environments and usage of tools AWS, Azure, etc.;
(9) Excellent problem-solving skills and the ability to work independently or in a team environment;
(10) Strong communication and interpersonal skills can explain complex technical concepts to non-technical stakeholders;
(11) Willing to travel to program sites in Rajasthan and Uttar Pradesh and excited to get on the ground.
Team SAMS
Strategic Alliance Management Services P Ltd.1/1B, Choudhary Hetram House, Bharat Nagar New Friends Colony, New Delhi 110 025
Strategic Alliance Management Services
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