CyberTec
Job Tittle -
I/ML Engineers Visa -
USA & GC Location -
Jersey City or Boston or McLean, VA (Hybrid 3 days/week) - MUST BE LOCAL TO EITHER LOCATION - NO RELO Rate -
$50-64/hr on W2 Project Duration -
6+ Months Exp. -
9+ Year End Client -
CN
JD:
Job Description: Summary: We're seeking a passionate, hands-on AI/ML Engineer to join our team where you'll play a pivotal role in spearheading AI initiatives. As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement.
Responsibilities: Generative AI Application Development
Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs). Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.
Model Development and Deployment
Design and develop machine learning models and algorithms to address business challenges and improve product features. Deploy machine learning models in production environments to ensure scalability and efficiency. Optimize and refine models based on performance metrics and feedback. Data Management
Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation. Implement data augmentation and feature engineering techniques to enhance model performance. Maintain and manage data pipelines to ensure seamless data flow and integration.
Python API Development
Develop scalable APIs in python (fastApi, Apache, Gunicorn) for model inferencing
Collaboration and Communication
Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals. Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner. Provide mentorship and guidance to junior team members and contribute to the upskilling of the team. Qualifications
Bachelor's or Master's degree in computer science, Statistics, Data Science, or a related field. 6+ years of experience in Machine Learning and Data Science. Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms. Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP). Experience in building Asynchronous Python APIs. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. Proven experience in developing and deploying machine learning models in a production environment. Experience working with large datasets and performing data analysis. Passion for learning and staying up-to-date with the latest advancements in AI field
I/ML Engineers Visa -
USA & GC Location -
Jersey City or Boston or McLean, VA (Hybrid 3 days/week) - MUST BE LOCAL TO EITHER LOCATION - NO RELO Rate -
$50-64/hr on W2 Project Duration -
6+ Months Exp. -
9+ Year End Client -
CN
JD:
Job Description: Summary: We're seeking a passionate, hands-on AI/ML Engineer to join our team where you'll play a pivotal role in spearheading AI initiatives. As an AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying Artificial Intelligence systems that solve complex problems and drive our technological advancement.
Responsibilities: Generative AI Application Development
Develop and implement AI solutions such as Retrieval-Augmented Generation (RAG) and Agentic Workflows using advanced techniques in prompt engineering and fine-tuning of Large Language Models (LLMs). Conduct thorough evaluations of LLMs to ensure the models meet the desired performance criteria and are aligned with business goals. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows, enhancing overall efficiency and capabilities.
Model Development and Deployment
Design and develop machine learning models and algorithms to address business challenges and improve product features. Deploy machine learning models in production environments to ensure scalability and efficiency. Optimize and refine models based on performance metrics and feedback. Data Management
Collect, clean, and preprocess data from various sources to create robust datasets for training and evaluation. Implement data augmentation and feature engineering techniques to enhance model performance. Maintain and manage data pipelines to ensure seamless data flow and integration.
Python API Development
Develop scalable APIs in python (fastApi, Apache, Gunicorn) for model inferencing
Collaboration and Communication
Work closely with software engineers, data scientists, and product managers to align AI/ML initiatives with business goals. Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner. Provide mentorship and guidance to junior team members and contribute to the upskilling of the team. Qualifications
Bachelor's or Master's degree in computer science, Statistics, Data Science, or a related field. 6+ years of experience in Machine Learning and Data Science. Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms. Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP). Experience in building Asynchronous Python APIs. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. Proven experience in developing and deploying machine learning models in a production environment. Experience working with large datasets and performing data analysis. Passion for learning and staying up-to-date with the latest advancements in AI field