Machine Learning Engineer - Hybrid

As a Data Analyst / ML Engineer, you will be responsible for the following key tasks: - Play the role of Data Analyst / ML Engineer - Collection, cleanup, exploration, and visualization of data - Perform statistical analysis on data and build ML models - Implement ML models using some of the popular ML algorithms - Use Excel to perform analytics on large amounts of data - Understand, model, and build actionable business intelligence out of data available in different formats - Collaborate with data engineers to design, build, test, and monitor data pipelines for ongoing business operations Basic Qualifications: - 4+ years of experience - Hands-on development experience in Data Analysis and/or ML Engineering - Proficiency in working with Excel for data analytics - Experience in statistical modeling of large datasets - Familiarity with ML models and algorithms - Coding experience in Python Nice to have Qualifications: - Experience with a wide variety of tools used in ML - Experience with Deep Learning In addition, the company offers the following benefits: - Competitive salary - Hybrid work model - Opportunities for rapid learning and gaining experience - Reimbursement for basic working setup at home - Insurance coverage, including a top-up insurance for COVID.