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12 Marx Technology Consulting Jobs

Data Science Specialist - Artificial Intelligence/Machine Learning (4-8 yrs)

4-8 years

Data Science Specialist - Artificial Intelligence/Machine Learning (4-8 yrs)

Marx Technology Consulting

posted 8d ago

Job Description

Job Description :


We are seeking a highly skilled and motivated Data Scientist with expertise in artificial intelligence to join our team. The ideal candidate will have a strong background in data science, machine learning, and AI technologies.

You will be responsible for analyzing complex data sets, developing predictive models, and implementing AI-driven solutions to solve real-world problems.

Key Responsibilities :

- Analyze large and complex data sets to extract meaningful insights.

- Develop and implement machine learning models and algorithms.

- Collaborate with cross-functional teams to understand business requirements and deliver AI solutions.

- Design and conduct experiments to validate models and improve their performance.

- Communicate findings and insights to stakeholders through reports and presentations.

- Stay up-to-date with the latest advancements in AI and data science.

Qualifications :


- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

- Proven experience in data science and machine learning.

- Proficiency in programming languages such as Python, R, or Java.

- Experience with AI frameworks and libraries (i.e. TensorFlow, PyTorch).

- Strong analytical and problem-solving skills.

- Excellent communication and teamwork abilities.

Preferred Qualifications :


- Experience with big data technologies (i.e., Hadoop, Spark).

- Experience with data visualization tools (Matplotlib, Seaborn, Tableau)

- Knowledge of natural language processing (NLP) and computer vision.

- Familiarity with cloud platforms (i.e., AWS, Azure, Google Cloud).

Benefits :


- Competitive salary and benefits package.

- Opportunity to work on cutting-edge AI projects.

- Collaborative and innovative work environment.

- Professional development and growth opportunities


Functional Areas: Other

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