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SeniorFull-timePythonAzureMachine LearningMLNLP
Salary Range
$20,995 - $28,405 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Data Scientist to join our team. This role focuses on developing, training, and deploying machine learning models using Microsoft Azure ML.
Key Responsibilities
- →Develop, train, and deploy machine learning models using Microsoft Azure ML
- →Perform data preprocessing, feature engineering, and model optimization
- →Work with databases (SQL/NoSQL) and large datasets
- →Conduct statistical analysis and data visualization
- →Implement a wide range of ML algorithms including regression, classification, clustering, NLP, and time-series models
Requirements
- ✓2 years of hands-on experience in developing, training, and deploying machine learning models
- ✓Strong proficiency in Python
- ✓Experience in data preprocessing, feature engineering, and model optimization
- ✓Solid knowledge of databases (SQL/NoSQL) and working with large datasets
- ✓Experience with statistical analysis, data visualization, and a wide range of ML algorithms
- ✓Strong analytical thinking, effective communication, and the ability to deliver scalable, data-driven solutions
Free to sign up. Takes 30 seconds.
About Sutherland
Sutherland is a global leader in digital transformation and technology services, specializing in helping organizations navigate the complexities of modern business through innovative solutions. Headquartered in the United States, the company has established a strong presence across multiple continents, offering expertise in automation, artificial intelligence, and customer experience management. Founded in 1998, Sutherland has grown from a regional service provider into a multinational corporation, driven by a commitment to leveraging cutting-edge technology to solve real-world business challenges. The company operates at the intersection of technology and customer engagement, serving clients across various industries including financial services, healthcare, and telecommunications. Sutherland’s core offerings include robotic process automation (RPA), artificial intelligence (AI) solutions, and customer experience (CX) platforms designed to enhance operational efficiency and customer satisfaction. Their services are characterized by a focus on scalability, integration with existing systems, and measurable outcomes. Key features of their solutions include advanced analytics, omnichannel support, and bespoke consulting to tailor strategies to client-specific needs. The company primarily targets large enterprises and mid-sized businesses seeking to streamline processes, reduce costs, and improve customer interactions through technology-driven initiatives. Their solutions are particularly valued by organizations undergoing digital transformation or looking to optimize their customer service operations. Sutherland has achieved significant recognition in the industry, including multiple awards for innovation in automation and customer experience. The company is positioned as a trusted partner for businesses aiming to harness the power of AI and automation to drive growth and efficiency. A notable aspect of Sutherland’s value proposition is its emphasis on ethical AI and sustainable practices, ensuring that technological advancements align with corporate responsibility and long-term business goals. This commitment, combined with a global delivery model and a highly skilled workforce, enables Sutherland to deliver transformative results for its clients while maintaining a competitive edge in the rapidly evolving tech services landscape.
