Description :

We are seeking a highly motivated and experienced AI/ML Engineer to join our dynamic team. In this role, you will be responsible for developing, implementing, and deploying cutting-edge machine learning models to solve complex business problems.

You will collaborate closely with data scientists, product managers, and engineers to translate business requirements into scalable and robust AI solutions. Your work will directly impact our users by enhancing product features, improving decision-making processes, and driving business growth.

Key Responsibilities :

- Design and develop machine learning models using Python and relevant libraries (e.g., PyTorch, TensorFlow) to address specific business challenges and improve key performance indicators.

- Deploy and maintain machine learning models in production environments, ensuring scalability, reliability, and performance for a seamless user experience.

- Conduct thorough data analysis and feature engineering to extract valuable insights and improve model accuracy, enabling data-driven decision-making.

- Collaborate with cross-functional teams to define project scope, gather requirements, and communicate results effectively, ensuring alignment with business objectives.

- Evaluate and monitor model performance, identifying areas for improvement and implementing necessary adjustments to maintain optimal accuracy and efficiency, ultimately enhancing user satisfaction.

- Stay up-to-date with the latest advancements in AI/ML and proactively explore new techniques and technologies to enhance our capabilities and maintain a competitive edge.

- Build and maintain data pipelines using SQL and other data processing tools to ensure data quality and availability for model training and evaluation, supporting reliable and accurate results.

Required Skillset :

- Demonstrated ability to design, develop, and deploy machine learning models using Python and relevant libraries such as PyTorch and TensorFlow.

- Proven experience in data analysis, feature engineering, and model evaluation techniques to extract insights and improve model performance.

- Strong understanding of machine learning algorithms, including deep learning, NLP, and statistical modeling, to solve complex problems.

- Proficiency in SQL and data manipulation techniques to extract, clean, and transform data for model training and evaluation.

- Ability to communicate complex technical concepts effectively to both technical and non-technical audiences, fostering collaboration and understanding.

- Experience with data visualization tools to present insights and findings in a clear and concise manner, facilitating data-driven decision-making.

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

- Adaptability to thrive in a remote work environment, demonstrating strong self-discipline and communication skills.