Data Scientist

We are seeking a skilled and innovative Data Scientist with over 4+ years of experience to join our clients team. The ideal candidate will have a strong background in AI and Generative AI, with proficiency in Python and its relevant libraries. In this role, you will develop and implement cutting-edge machine learning models, analyse complex datasets, and collaborate with cross-functional teams to deliver data-driven solutions. Your expertise will contribute to our mission of leveraging advanced AI technologies to drive meaningful insights and advancements.

Job Responsibilities:

● Develop and implement machine learning models and algorithms, particularly in the areas of AI and Generative AI.
● Analyze large, complex datasets to extract actionable insights and identify trends.
● Monitor model performance and conduct ongoing optimization and tuning.
● Evaluate and deploy AI solutions, ensuring robustness, scalability, and performance.
● Utilize Python and other relevant tools to manipulate data and build predictive models.
● Communicate findings and recommendations to stakeholders through reports, presentations, and visualizations.
● Stay updated with the latest advancements in AI and Generative AI and incorporate them into projects.

Candidate Profile:

● Bachelors or Masters degree in Computer Science, Data Science, Statistics, or a related field.
● Proven experience (4+ years) in data science, machine learning, and AI, with a focus on Generative AI.
● Excellent problem-solving skills and attention to detail.
● Strong communication skills and ability to present complex information clearly and concisely.

Candidate Required Skills:

● Strong proficiency in Python programming and its libraries, such as TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
● Experience with deep learning frameworks and neural networks.
● Solid understanding of machine learning algorithms and statistical methods.
● Ability to work with large datasets and perform data preprocessing, cleaning, and transformation.
● Experience with cloud platforms such as AWS, Azure, or Google Cloud.
● Familiarity with natural language processing (NLP) and computer vision techniques.