Data Science Specialist with Strong NLP

Job Role: Data Science Specialist

Salary: As Per Market

Qualification: Any Engineering (B.Tech/MCA/BCA/MBA/BBA/Bsc(computers)

Mandatory Skills: NLP

Recruiter Name: Neha

Job Description

We are currently looking for experienced professionals with expertise in Data Science and Natural Language Processing (NLP). The candidate should be proficient in using cloud services from providers such as GCP, AWS, and Azure. This position requires substantial experience in C++ and exposure to Agile and DEVOPS environments, providing opportunities to work across multiple locations.

Primary Responsibilities:

• Develop, implement, and optimize data science models and algorithms with a strong focus on Natural Language Processing (NLP).
• Operate effectively across various cloud platforms including GCP, AWS, and Azure to ensure optimal performance and integration of data science models and solutions.
• Implement feature/CR solutions and conduct bug fixing in C++, leveraging knowledge of C++11/14 Qt on both Linux and Windows.
• Work collaboratively with Agile and DEVOPS teams to streamline the development and deployment of data science applications.

Primary Skills:

• Strong proficiency in Data Science and Natural Language Processing (NLP).
• Experience in cloud platforms such as GCP, AWS, and Azure.
• Advanced knowledge of C++ and experience in C++11/14 Qt on Linux and Windows.
• Experience with Agile and DEVOPS methodologies.

Additional Skills:

• Experience with unit test frameworks like GMock/GTest.
• Ability to work in a fast-paced, dynamic environment.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills, both verbal and written.

Required Expertise:

• Minimum 4 years of experience in C++ on Linux and Windows, with exposure to C++11/14 Qt.
• Minimum 7 years of experience in Data Science, with a focus on Natural Language Processing (NLP).
• Experience in working with cloud services, preferably GCP, AWS, and Azure.
• Previous experience in working with Agile and DEVOPS teams is preferable.