Bengaluru | Full time | Experience: 3 to 5 Years in AI/ML development and deployment | Qualification: B.E in Computer Science or any degree with Artificial Intelligence & Data Science |
Job Summary:
Experience to design, develop, and deploy machine learning models and AI-driven solutions. Have a
strong background in machine learning algorithms, data science, and software engineering, with
expertise in cloud-based AI services.
Key Responsibilities:
• Experience in developing AI-powered applications in real-world scenarios
• Design, develop, and optimize machine learning models (LLMs) for automation and
predictive analytics
• Implement deep learning models using TensorFlow, PyTorch, or other frameworks
• Develop and integrate AI-driven solutions into existing software applications
• Fine-tune and optimize models for performance and scalability
• Deploy models using cloud platforms such as AWS, GCP, Azure or any other cloud
• Monitor and improve model accuracy and efficiency through continuous iteration
• Preprocess, analyze, and visualize large datasets to extract meaningful insights
• Collaborate with cross-functional teams, including software engineers and data scientists
• Work with data engineers to ensure efficient data pipelines for AI applications
Required Skills:
• Strong programming skills in Python
• Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, or Keras
• Experience with NLP, Computer vision, or reinforcement learning
• Proficiency in data processing libraries like Pandas and NumPy
• Hands-on experience with cloud-based AI/ML services (AWS SageMaker, Google Vertex AI,
Azure ML, etc.)
• Understanding of MLOps principles, model deployment, and monitoring
• Strong problem-solving skills and ability to work in an agile development environment
• Excellent communication and teamwork abilities
Preferred Skills:
• Familiarity with big data technologies like Hadoop, Spark, or Kafka
• Knowledge of containerization and orchestration tools like Docker and Kubernete