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Data Analytics - ML, GenAI, Python & AWS

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All India, Hyderabad • 1 month ago

Experience: 5 to 12 Yrs

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Job Description

As a Data Analytics Engineer specializing in ML, GenAI, Python, and AWS, your primary responsibility will be to focus on requirements and architecting solutions based on Advanced Data Analytics. You will engage with project teams to plan, set up, and execute requirements capture and management capabilities effectively. Key Responsibilities: - Demonstrate an excellent understanding of data mining, machine learning techniques, Gen AI, and algorithms. - Utilize statistical programming languages like Python, SQL, etc., to process data and extract valuable insights. - Showcase strong coding skills, especially in Python. - Manage database tools proficiently, particularly SQL. - Apply a broad range of technical skills in machine learning, focusing on cutting-edge technologies such as IoT, AI, and cloud computing. - Implement analytics algorithms in cloud-based platforms like AWS, Azure, or GCP. - Communicate effectively in English, both written and spoken, with solid technical writing, presentation, and communication skills. - Possess a good understanding of control systems. Qualifications Required: - Masters degree in Computer Science, Statistics, Math, or Engineering with a minimum of 5 years of experience. Additional Company Details: - The company works within the Digital_Cloud_Web Technologies sector. - This is a full-time position based in Hyderabad. - The ideal candidate should have 5-12 years of experience and a notice period of 0-15 days. Preferred Skills: - Hands-on experience in collecting, filtering, organizing, and analyzing large-scale datasets using cloud-based platforms. - Proficiency in implementing analytics algorithms on cloud-based IoT platforms, with preference for Microsoft Azure. - Strong familiarity with Python libraries such as Pandas, Numpy, Scipy, Scikit-Learn, TensorFlow, Matplotlib, Seaborn, Plotly, and SALib. - Experience in developing end-to-end analytics solutions using Python or cloud-based implementations is advantageous. As a Data Analytics Engineer specializing in ML, GenAI, Python, and AWS, your primary responsibility will be to focus on requirements and architecting solutions based on Advanced Data Analytics. You will engage with project teams to plan, set up, and execute requirements capture and management capabilities effectively. Key Responsibilities: - Demonstrate an excellent understanding of data mining, machine learning techniques, Gen AI, and algorithms. - Utilize statistical programming languages like Python, SQL, etc., to process data and extract valuable insights. - Showcase strong coding skills, especially in Python. - Manage database tools proficiently, particularly SQL. - Apply a broad range of technical skills in machine learning, focusing on cutting-edge technologies such as IoT, AI, and cloud computing. - Implement analytics algorithms in cloud-based platforms like AWS, Azure, or GCP. - Communicate effectively in English, both written and spoken, with solid technical writing, presentation, and communication skills. - Possess a good understanding of control systems. Qualifications Required: - Masters degree in Computer Science, Statistics, Math, or Engineering with a minimum of 5 years of experience. Additional Company Details: - The company works within the Digital_Cloud_Web Technologies sector. - This is a full-time position based in Hyderabad. - The ideal candidate should have 5-12 years of experience and a notice period of 0-15 days. Preferred Skills: - Hands-on experience in collecting, filtering, organizing, and analyzing large-scale datasets using cloud-based platforms. - Proficiency in implementing analytics algorithms on cloud-based IoT platforms, with preference for Microsoft Azure. - Strong familiarity with Python libraries such as Pandas, Numpy, Scipy, Scikit-Learn, TensorFlow, Matplotlib, Seaborn, Plotly, and SALib. - Experience in developing end-to-end analytics solutions using Python or cloud-based implementations is advantageous.

Posted on: March 30, 2026

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