➢Responsibilities:-

• Model Development & Implementation: Lead the design, development, and deployment of machine learning models and algorithms in close collaboration with the AI/ML team.

• Data Pre-processing & Feature Engineering: Oversee the data preparation pipeline, including pre-processing and feature engineering, ensuring the quality and efficiency of model inputs.

• Model Evaluation & Optimization: Conduct rigorous experiments, analyze results, and provide actionable insights to enhance model performance and efficiency.

• Scalability & Advanced Techniques: Apply advanced methodologies to optimize model performance when working with large-scale datasets.

• AI/ML Model Integration: Spearhead the integration of AI/ML models into the product ecosystem, seamlessly embedding them within product features.

• AI/ML Deployment with Django: Utilize Django for deploying machine learning models as web applications, ensuring seamless interaction between models and users.

• Innovation & Knowledge Sharing: Stay current with the latest advancements in AI/ML technologies, and actively contribute to the team’s knowledge base while fostering a culture of innovation.

➢ Technical Skills:-

• Proficiency in Python and experience with popular machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).

• Demonstrated expertise in data pre-processing, feature engineering, and model evaluation techniques.

• Strong familiarity with deep learning frameworks and neural network architectures.

• Experience with Django for deploying machine learning models as web applications.

➢ Requirements:-

• Educational Qualifications: BSc-IT, BCA, MCA, Bachelor’s or Master’s degree in Computer Science or IT, Data Science, or a related field.

• Professional Experience: 3-5 years of hands-on experience in developing and deploying machine learning solutions.

• Problem-Solving: Exceptional programming and analytical skills, with a proven ability to solve complex problems.

• Collaboration & Communication: Excellent communication skills, with the ability to work effectively in a collaborative team environment.

• Attention to Detail & Autonomy: Strong attention to detail and the ability to work autonomously in a fast-paced environment