Padmi

Machine Learning Engineer

IndiaPosted 3 months ago
Data Science And StatisticsMid-levelFull Time; Regular
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As a Data Analyst / ML Engineer, your responsibilities will include: - Collecting, cleaning, exploring, and visualizing data. - Performing statistical analysis on data and building ML models. - Implementing ML models using popular ML algorithms. - Using Excel for analytics on large datasets. - Understanding, modeling, and creating actionable business intelligence from data in various formats. - Collaborating with data engineers to design, build, test, and monitor data pipelines for business operations. Qualifications required for this role: - 4+ years of experience in data analysis and/or ML engineering. - Hands-on experience with Excel for data analytics. - Proficiency in statistical modeling of large datasets. - Familiarity with ML models and algorithms. - Coding skills in Python. Nice to have qualifications: - Experience with a variety of ML tools. - Familiarity with Deep Learning. In addition, the company offers: - Competitive salary. - Hybrid work model. - Opportunities for rapid learning and gaining experience. - Reimbursement for basic home office setup. - Insurance coverage, including a top-up insurance for COVID. As a Data Analyst / ML Engineer, your responsibilities will include: - Collecting, cleaning, exploring, and visualizing data. - Performing statistical analysis on data and building ML models. - Implementing ML models using popular ML algorithms. - Using Excel for analytics on large datasets. - Understanding, modeling, and creating actionable business intelligence from data in various formats. - Collaborating with data engineers to design, build, test, and monitor data pipelines for business operations. Qualifications required for this role: - 4+ years of experience in data analysis and/or ML engineering. - Hands-on experience with Excel for data analytics. - Proficiency in statistical modeling of large datasets. - Familiarity with ML models and algorithms. - Coding skills in Python. Nice to have qualifications: - Experience with a variety of ML tools. - Familiarity with Deep Learning. In addition, the company offers: - Competitive salary. - Hybrid work model. - Opportunities for rapid learning and gaining experience. - Reimbursement for basic home office setup. - Insurance coverage, including a top-up insurance for COVID.

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