About the role
AI Software Engineer
Location: Bangalore
Job Type: Full Time
Experience Level: Senior
About the Role:
We are seeking a talented AI Software
Engineer to join our team and help develop innovative AI-driven solutions. You
will be responsible for designing, implementing, and optimizing AI models,
integrating them into software applications, and working closely with data
scientists and engineers to build scalable AI-powered products.
Key Responsibilities:
·Design,
develop, and deploy AI and machine learning models for real-world applications.
·Work
with large datasets to train and fine-tune models, ensuring high accuracy and
efficiency.
·Build
and optimize deep learning architectures using frameworks like TensorFlow,
PyTorch, or Scikit-learn.
·Develop
and maintain AI-driven software applications, integrating models into
production environments.
·Collaborate
with cross-functional teams, including data scientists, software engineers, and
product managers.
·Optimize
AI models for performance, scalability, and deployment on cloud platforms (AWS,
Azure, GCP).
·Implement
MLOps best practices for model versioning, deployment, and monitoring.
·Stay
up-to-date with the latest AI research, tools, and techniques to continuously
improve AI capabilities.
Requirements
Required Qualifications:
·Bachelor’s
or Master’s degree in Computer Science, AI, Machine Learning, or a related
field.
·Strong
programming skills in Python, Java
·Experience
with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
·Knowledge
of NLP, Computer Vision, or Reinforcement Learning is a plus.
·Hands-on
experience with cloud computing (AWS, GCP, Azure) for AI model deployment.
·Familiarity
with data structures, algorithms, and software development best practices.
·Experience
with containerization (Docker, Kubernetes) and APIs for model integration.
·Strong
problem-solving skills and the ability to work in a fast-paced environment.
·Experience
with LLMs (Large Language Models), Generative AI, or AI-powered automation.
·Understanding
of AI ethics, bias mitigation, and responsible AI practices.
·Knowledge
of big data technologies like Hadoop, Spark, or Kafka.
Benefits
•Work
with cutting-edge technologies and a talented team.
•Competitive salary and benefits
package.
•Flexible work environment with
growth opportunities.
•Access to professional development
and learning resources.