Senior Data Scientist (AIML Engineer)

Key responsibilities:

Develop and implement machine learning models to solve complex business problems.
Analyze and interpret large data sets to identify trends and patterns for strategic decision-making.
Collaborate with cross-functional teams to integrate data-driven solutions into existing systems.
Design and optimize data pipelines for efficient data processing.
Conduct thorough testing and validation of models to ensure accuracy and reliability.
Stay up-to-date with industry best practices and emerging technologies in AI and ML.

Requirements & skills:

Proficiency in programming languages such as Python, R, or Java.
Solid understanding of statistical analysis, machine learning algorithms, and data structures.
Experience working with big data technologies like Hadoop, Spark, or SQL.
Strong problem-solving skills and the ability to work independently or in a team.
Excellent communication skills to convey complex findings to non-technical stakeholders.
Bachelor's or master's degree in computer science, data science, statistics, or related field.

Preferred qualifications:

PhD in a relevant field.
Certification in machine learning or data science.
Experience with natural language processing or computer vision.

Benefits / why join us:

Competitive salary and benefits package.
Opportunity to work on cutting-edge projects in AI and machine learning.
Collaborative and dynamic work environment fostering innovation and growth.

Skills summary:

Core technical skills:
Python, R, Java, statistical analysis, machine learning algorithms, data structures, Hadoop, Spark, SQL

Soft skills:
Problem-solving, communication, teamwork, analytical thinking, innovation

Employment details:

Employment type: Full-time
Vacancies: 4