AI Developer

Job Description

- Minimum of five years of experience in data science or a closely related field, with a proven track record of delivering impactful solutions.

- Proficiency in programming languages such as Python, R, or Scala, as well as experience with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

- Strong analytical and problem-solving skills, with the ability to translate business requirements into analytical solutions.

- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.

- Experience working with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.

- Demonstrated ability to work effectively in a collaborative team environment and manage multiple priorities in a fast-paced, dynamic setting.

Skills

• Define strategies to leverage existing large datasets and integrate new datasets to extend product capabilities and work closely with the data engineers and product engineering teams in the development of data products.

- Lead the end-to-end development of predictive models and machine learning algorithms to solve business problems and optimize processes.

- Perform exploratory data analysis, data preprocessing, and feature engineering to uncover hidden patterns and trends in large datasets.

- Collaborate with stakeholders to define project objectives, develop analytical solutions, and communicate findings effectively.

• Work closely with product and solution management teams to understand business use cases and convert into machine learning or gen-AI solutions.

- Conduct rigorous model evaluation and validation to ensure the robustness and reliability of predictive models.

- Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence to continuously improve methodologies and techniques.

- Contribute to the development and implementation of best practices for data management, analysis, and model deployment.

Qualifications

• Bachelor's or master’s degree in computer science, Statistics, Mathematics, or a related field.