ImpetusIT
One of our staffing partners is looking for its Financial client a machine learning engineer.
Experience of 2-3 years. Not looking for senior programmers due to low pay.
Salary offered $55-75k per year.
Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants.
Responsibilities
Design, train, and fine-tune Large Language Models (LLMs) for various applications
Optimize transformer-based architectures for performance and scalability
Leverage prompt engineering and model customization to enhance AI outputs
Deploy, monitor, and optimize AI models in cloud environments
Collaborate with cross-functional teams to integrate AI into real-world applications
Analyze and preprocess massive datasets for AI-driven insights
Qualifications
Strong background in
Machine Learning, Deep Learning, and NLP
Hands‑on experience with LLMs (GPT, Llama, PaLM, or similar)
Proficiency in
Python, TensorFlow, PyTorch, and Hugging Face
libraries
Knowledge of transformer architectures, attention mechanisms, and reinforcement learning
Experience with fine‑tuning and optimizing foundation models
#J-18808-Ljbffr
Experience of 2-3 years. Not looking for senior programmers due to low pay.
Salary offered $55-75k per year.
Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants.
Responsibilities
Design, train, and fine-tune Large Language Models (LLMs) for various applications
Optimize transformer-based architectures for performance and scalability
Leverage prompt engineering and model customization to enhance AI outputs
Deploy, monitor, and optimize AI models in cloud environments
Collaborate with cross-functional teams to integrate AI into real-world applications
Analyze and preprocess massive datasets for AI-driven insights
Qualifications
Strong background in
Machine Learning, Deep Learning, and NLP
Hands‑on experience with LLMs (GPT, Llama, PaLM, or similar)
Proficiency in
Python, TensorFlow, PyTorch, and Hugging Face
libraries
Knowledge of transformer architectures, attention mechanisms, and reinforcement learning
Experience with fine‑tuning and optimizing foundation models
#J-18808-Ljbffr