Develop and implement advanced AI/ML models to solve complex business problems and drive data-driven insights.
Design, develop, and deploy machine learning algorithms and deep learning models using Python and popular frameworks like TensorFlow and PyTorch .
Collaborate with cross-functional teams to understand data requirements and translate business problems into analytical solutions.
Conduct data analysis and feature engineering to improve model accuracy and performance.
Optimize and fine-tune models for better scalability and efficiency.
Continuously research and stay updated on the latest trends and techniques in AI, machine learning, and deep learning.
Work on large datasets, ensuring data integrity and quality while managing data preprocessing pipelines.
Communicate findings through explicit visualizations, reports, and presentations to both technical and non-technical stakeholders.





Required Skills & Knowledge:
Solid proficiency in Python programming and libraries (e.g., NumPy , Pandas , Scikit-learn ).
Experience with deep learning frameworks like TensorFlow or PyTorch .
Solid understanding of machine learning algorithms , data processing, and model evaluation techniques.
Hands-on experience in data analysis , model deployment , and scaling AI systems .
Solid analytical, problem-solving, and communication skills.

Preferred Qualifications:
Degree in Computer Science , Data Science , Mathematics , or a related field.
Experience with cloud-based AI/ML tools (e.g., AWS , Azure , Google Cloud ).
Familiarity with natural language processing (NLP) or computer vision is a plus.

📌 Data Science Engineer Bengaluru
🏢 Mapout Digital Solutions
📍 Bengaluru