Data Architect-AI/ML

10 - 16 years

0 Lacs

Posted:2 weeks ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Data Architect-AI/ML at Pine Labs, you will play a crucial role in analyzing complex financial data, developing machine learning models, and collaborating with various teams to deliver impactful results. Your responsibilities will include: - Analyzing and interpreting complex financial data to identify trends, patterns, and actionable insights. - Developing and implementing machine learning models for predictive analytics, classification, regression, etc. - Collaborating with product, engineering, and business teams to define data science requirements and deliver impactful results. - Cleaning, preprocessing, and transforming data to ensure quality and consistency. - Using data visualization techniques to communicate findings clearly to non-technical stakeholders. - Contributing to the development and enhancement of data pipelines and workflows. - Monitoring and evaluating model performance to ensure accuracy and reliability over time. - Staying updated on the latest advancements in data science and machine learning. Qualifications required for this role include: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. - 10-16 years of hands-on experience in artificial intelligence, data science, machine learning, or related fields. - Proficiency in Python, R, or similar programming languages for data analysis and model development. - Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering). - Familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy, SciPy). - Experience with data visualization tools (e.g., Tableau, Power BI, superset). - Experience working with large datasets and performing data cleaning and preprocessing. - Familiarity with AWS cloud platforms (DMR, Glue, Redshift). - Strong communication skills and ability to collaborate with cross-functional teams. Additional Information: You should also be comfortable with: - Working from the office: 5 days a week (Sector 62, Noida) - Pushing the boundaries and embracing out-of-the-box thinking to bring new ideas to life. In this role, Pine Labs values individuals who: - Take the shot by deciding fast and delivering right. - Act as the CEO of what they do, showing ownership and making things happen. - Own tomorrow by building solutions for merchants and doing the right thing. - Sign their work like an artist, seeking to learn and taking pride in their work.,

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Pine Labs logo
Pine Labs

Financial Services

Noida Mumbai

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