Artificial Intelligence Development Engineer

Job Description

Job Title: Artificial Intelligence Development Engineer

Location: Bengaluru

Company: Confidential

About Us: We are at the forefront of AI innovation, committed to developing intelligent solutions that revolutionize industries and improve lives. We are seeking a highly skilled and motivated Artificial Intelligence Development Engineer to join our dynamic team.

Job Description:
As an Artificial Intelligence Development Engineer at [Your Company Name], you will be responsible for designing, developing, and implementing advanced AI algorithms and models. You will work collaboratively with cross-functional teams to create cutting-edge AI applications that solve complex problems and drive business success.

Responsibilities:
Design and develop AI models and algorithms to address specific business challenges.
Implement and optimize machine learning and deep learning models.
Collaborate with data scientists, software engineers, and product managers to integrate AI solutions into products and services.
Conduct data preprocessing and feature engineering to prepare datasets for model training.
Evaluate and validate models to ensure accuracy and performance.
Deploy and maintain AI models in production environments.
Monitor and analyze model performance, making necessary adjustments to improve outcomes.
Stay current with the latest advancements in AI research and technology.
Document processes, experiments, and results, providing insights and recommendations.
Participate in code reviews and provide feedback to peers.

Requirements:
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field. A master’s degree or PhD is preferred.
Proven experience in AI development, including machine learning and deep learning.
Strong programming skills in Python, R, or Java.
Experience with AI frameworks and libraries such as TensorFlow, PyTorch, Keras, and scikit-learn.
Proficiency in data preprocessing, feature engineering, and model evaluation techniques.
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (Hadoop, Spark).
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration abilities.
Ability to work in a fast-paced and dynamic environment.

Preferred Qualifications:
Experience with natural language processing (NLP) and computer vision.
Knowledge of reinforcement learning and unsupervised learning techniques.
Familiarity with MLOps practices for continuous deployment and integration of AI models.
Experience with containerization and orchestration tools (Docker, Kubernetes).
Certifications in AI/ML or related fields.

Benefits:
Competitive salary and benefits package.
Opportunities for professional growth and development.
Collaborative and innovative work environment.
Flexible working hours and remote work options.
Health, dental, and vision insurance.