Explore the role and see if you’re the right fit

• Design, develop, and deploy machine learning models and AI solutions for various business applications.
• Work with cross-functional teams to identify opportunities where AI/ML can add value.
• Perform data preprocessing, cleaning, and feature engineering for model training.
• Build predictive models, NLP systems, recommendation engines, and deep learning pipelines.
• Optimize and fine-tune models for performance, scalability, and accuracy.
• Collaborate with data engineers to ensure seamless data flow and integration.
• Stay up to date with the latest AI/ML frameworks, tools, and industry trends.

Required Skills & Qualifications

• Bachelor’s or Master’s in Computer Science, Data Science, or related field.
• Strong knowledge of Machine Learning algorithms, Deep Learning, and NLP techniques.
• Hands-on experience with frameworks like TensorFlow, PyTorch, Scikit-learn, Keras.
• Proficiency in Python, SQL, and data manipulation libraries (NumPy, Pandas, etc.).
• Experience with cloud platforms (AWS, GCP, Azure) for AI/ML deployment.
• Good understanding of data structures, algorithms, and software engineering principles.
• Excellent problem-solving and analytical skills.

Preferred Skills

• Experience with computer vision, speech recognition, or reinforcement learning.
• Knowledge of MLOps tools (Kubeflow, MLflow, Docker, Kubernetes).
• Exposure to big data technologies (Spark, Hadoop).
• Strong communication and teamwork skills.