Position: Applied AI Engineer
Location: Chandigarh
Type: Full-time
Company Overview: We are a forward-thinking technology company specializing in cutting-edge AI solutions that redefine industries. Our team of experts is dedicated to pushing the boundaries of innovation in applied artificial intelligence.
As an Associate Applied AI Engineer focusing on Cloud-based Applied AI Services, Generative AI, LLMs and MLOps, youll play a vital role in designing, developing, and deploying advanced AI solutions while ensuring seamless integration with operational processes.
Role and Responsibilities:
Collaborate with cross-functional teams to understand business challenges and contribute to AI-driven solutions.
Assist in the design and development of machine learning models, algorithms, and applications.
Support the application of advanced techniques in natural language processing, computer vision, and predictive analytics.
Stay updated with AI research, MLOps trends, and technologies to drive innovation.
Participate in monitoring model performance, troubleshooting issues, and implementing improvements.
Gain proficiency in AI cloud services provided by AWS, Azure, and GCP for integration.
Contribute to the development and experimentation of generative AI models.
Qualifications:
Bachelors or Masters degree in Computer Science, Engineering, or related field.
3-5 years of experience in applied AI development, machine learning, MLOps, and generative AI.
Proficiency in Python programming and familiarity with relevant libraries (e.g., TensorFlow, PyTorch).
Basic understanding of MLOps principles, including model deployment and monitoring.
Familiarity with containerization technologies (Docker, Kubernetes) for deployment.
Exposure to developing and deploying machine learning models for real-world applications.
Exposure to Customisation and finetuning LLMs such as GPT, llama 2 etc
Interest in AI cloud services by AWS, Azure, and GCP for integration.
Familiarity with version control (e.g., Git) and collaborative coding environments.
Problem-solving skills and ability to contribute to complex, multidisciplinary projects.
Effective communication skills to convey technical concepts.
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