Mirrai Careers

Senior AI/ML Engineer - R01570350

Brillio

Bangalore, Karnataka, India Posted 6d ago
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Senior Data Scientist JOB REQUIREMENTS Experience Range: 5 - 8 years of experience, including at least 5 years of hands-on work in data science, analytics, or related fields, with recent exposure to agentic AI solutions Key Responsibilities: * Translate complex business challenges into structured data science problems, ensuring alignment with organizational objectives and measurable outcomes * Develop, monitor, and validate OKRs using advanced statistical techniques to deliver actionable insights and track progress * Execute advanced data wrangling, cleansing, and transformation on large, complex datasets to enable robust modeling and analysis * Deliver impactful data-driven insights through clear data storytelling, utilizing visualization tools to communicate findings effectively to stakeholders * Apply design thinking methodologies to create innovative analytical solutions and continuously optimize data science workflows and processes * Lead technical decision-making for modeling iterations, optimizing model performance, and balancing computational efficiency with business requirements * Collaborate with cross-functional teams, including engineering and product, to implement scalable data science solutions that drive business value * Promote data literacy and foster a culture of data-driven decision-making by sharing best practices and industry trends across the organization Required Skills: * Advanced proficiency in Python or R for data wrangling, preprocessing, and statistical analysis * Expertise in statistical modeling and validation of performance metrics * Experience with data visualization tools such as Tableau, Power BI, or Matplotlib * Hands-on experience with machine learning algorithms and evaluation metrics * Strong background in feature engineering and data mining * Familiarity with big data technologies such as Spark or Hadoop * Experience with cloud-based data platforms including AWS, Azure, or Google Cloud * Knowledge of MLOps practices and deployment pipelines Preferred Skills: * Experience with deep learning frameworks such as TensorFlow or PyTorch * Exposure to agentic AI and rapid domain adaptation * Experience with automation tools and scripting for data workflows Desired Qualifications: * Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related discipline * Certification in Data Science or Machine Learning from a recognized institution, such as Microsoft Certified: Azure Data Scientist Associate or IBM Data Science Professional Certificate * Relevant coursework or certification in statistical analysis or business analytics

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