AI Software Developer

4 weeks ago


Kolkata, West Bengal, India Outthinc Global Communications Full time

At Outthinc Global Communications, we are seeking an exceptional AI Software Developer to join our team. As a key player in our AI software development journey, you will be responsible for designing, developing, and deploying artificial intelligence systems that drive business growth and innovation.

Key Responsibilities:

Designing AI Systems:

Our ideal candidate will be capable of designing systems and algorithms that enable machines to perform tasks that typically require human intelligence. This involves conceptualizing AI solutions based on client or business needs.

Programming and Development:

As a skilled programmer, you will write, test, and optimize code to implement machine learning models, neural networks, and other AI algorithms.

Data Preparation and Analysis:

You will work with large datasets, analyze patterns, and extract relevant information to train AI systems effectively.

Model Building and Training:

Developing AI models, selecting appropriate algorithms, training, and fine-tuning these models using machine learning and deep learning techniques is an essential part of your role.

Algorithm Improvement and Optimization:

Continuously improving existing algorithms and optimizing AI models to enhance accuracy, efficiency, and speed is an ongoing responsibility.

Integration and Deployment:

You will integrate AI models into applications or systems and deploy them in real-world environments, ensuring seamless and reliable operation.

Collaboration and Problem-Solving:

Collaborating with cross-functional teams to understand requirements, address challenges, and solve complex problems using AI solutions is a key aspect of your role.

Staying Updated with Technology Trends:

Constantly staying updated with the latest advancements in AI, exploring new methodologies, and implementing innovative solutions to keep pace with evolving technologies.

Ethical Considerations:

Considering ethical implications while developing AI systems, including issues related to biases in data and ensuring fairness and transparency in AI applications.



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