ImpetusIT
Machine Learning Engineer/Data Scientist
This range is provided by ImpetusIT. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $60,000.00/yr - $75,000.00/yr
Salary offered $60-70k 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.
One of our staffing partners is helping a Manufacturing client hire a
Machine learning engineer /data scieneitst
to impactful AI-driven applications.
Responsibilities:
Design, train, and fine-tune Large Language Models (LLMs) for various applications
Develop advanced NLP solutions for text generation, summarization, and semantic search
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
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
Familiarity with cloud-based AI environments (AWS, Azure, or GCP)
Experience with AI model deployment and optimization techniques
Seniority level:
Not Applicable
Employment type:
Full-time
Job function:
Information Technology
Industries:
IT Services and IT Consulting
Referrals increase your chances of interviewing at ImpetusIT by 2x
#J-18808-Ljbffr
Base pay range $60,000.00/yr - $75,000.00/yr
Salary offered $60-70k 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.
One of our staffing partners is helping a Manufacturing client hire a
Machine learning engineer /data scieneitst
to impactful AI-driven applications.
Responsibilities:
Design, train, and fine-tune Large Language Models (LLMs) for various applications
Develop advanced NLP solutions for text generation, summarization, and semantic search
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
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
Familiarity with cloud-based AI environments (AWS, Azure, or GCP)
Experience with AI model deployment and optimization techniques
Seniority level:
Not Applicable
Employment type:
Full-time
Job function:
Information Technology
Industries:
IT Services and IT Consulting
Referrals increase your chances of interviewing at ImpetusIT by 2x
#J-18808-Ljbffr