What are the responsibilities and job description for the Onsite: AI/ML Engineer position at Conch Technologies?
Hi,
Greetings from Conch Technologies Inc
Position: AI/ML Engineer
Location: Phoenix, AZ ( Onsite )
Duration: 12 Months Contract
Greetings from Conch Technologies Inc
Position: AI/ML Engineer
Location: Phoenix, AZ ( Onsite )
Duration: 12 Months Contract
Interview: 1 direct in-person.
Required Skills:
Strong foundation in machine learning, deep learning, and neural network architectures.
Proficient in Python, TensorFlow, and PyTorch.
Hands-on experience with Generative AI techniques (GANs, VAEs, diffusion, etc.).
Expertise in NLP, text generation, and familiarity with computer vision.
Experience deploying AI models into real-world, production environments.
Solid grasp of feature engineering and large-scale data processing.
Ability to design and optimize scalable AI/ML systems.
Enterprise Req Skills:
GenAI, AI/ML, Machine Learning, Python
Top Skills Summary:
Machine learning & deep learning expertise
Python, TensorFlow, PyTorch
Generative AI (GANs, VAEs)
Scalable ML/AI system design
Additional Information
Environment:
Fast-paced, collaborative, advanced Information Security team (800 employees).
Tech Stack Note:
Current use of open-source Llama 3 models
Exploring OpenAI models soon
Real-world delivery of ML, DL, and GenAI solutions is highly valuable
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Strong foundation in machine learning, deep learning, and neural network architectures.
Proficient in Python, TensorFlow, and PyTorch.
Hands-on experience with Generative AI techniques (GANs, VAEs, diffusion, etc.).
Expertise in NLP, text generation, and familiarity with computer vision.
Experience deploying AI models into real-world, production environments.
Solid grasp of feature engineering and large-scale data processing.
Ability to design and optimize scalable AI/ML systems.
Enterprise Req Skills:
GenAI, AI/ML, Machine Learning, Python
Top Skills Summary:
Machine learning & deep learning expertise
Python, TensorFlow, PyTorch
Generative AI (GANs, VAEs)
Scalable ML/AI system design
Additional Information
Environment:
Fast-paced, collaborative, advanced Information Security team (800 employees).
Tech Stack Note:
Current use of open-source Llama 3 models
Exploring OpenAI models soon
Real-world delivery of ML, DL, and GenAI solutions is highly valuable
Thanks & Regards
Nayak Teketi
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Email:
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