Signature IT World Inc
Machine Learning Engineer (San Jose)
Signature IT World Inc, San Jose, California, United States, 95199
Role: ML engineer
Location :
Remote Type: W2 Contract only
JOB DESCRIPTION Min
3+
years of hands-on experience in the below mentioned technologies. Technical Skills Proficiency in Python and experience with machine learning and AI frameworks (e.g., TensorFlow, PyTorch, VLLM, Llama). Knowledge of data preprocessing, feature engineering, and fine-tuning ML models. Familiarity with RESTful APIs for interacting with third-party tools and services. Experience in developing scripts or tools for process automation. Problem-Solving Skills Strong ability to identify inefficiencies in workflows and propose automated solutions. Analytical skills to evaluate the performance of automated tools and pipelines. Communication and Collaboration Effective collaboration skills to work with cross-functional teams and ensure alignment on project goals. Strong written and verbal communication skills to document workflows and tools clearly. Optional Skills (Preferred but not mandatory): Domain knowledge in networking technologies (e.g., routing, switching, security). Experience with MLOps tools and infrastructure.
Remote Type: W2 Contract only
JOB DESCRIPTION Min
3+
years of hands-on experience in the below mentioned technologies. Technical Skills Proficiency in Python and experience with machine learning and AI frameworks (e.g., TensorFlow, PyTorch, VLLM, Llama). Knowledge of data preprocessing, feature engineering, and fine-tuning ML models. Familiarity with RESTful APIs for interacting with third-party tools and services. Experience in developing scripts or tools for process automation. Problem-Solving Skills Strong ability to identify inefficiencies in workflows and propose automated solutions. Analytical skills to evaluate the performance of automated tools and pipelines. Communication and Collaboration Effective collaboration skills to work with cross-functional teams and ensure alignment on project goals. Strong written and verbal communication skills to document workflows and tools clearly. Optional Skills (Preferred but not mandatory): Domain knowledge in networking technologies (e.g., routing, switching, security). Experience with MLOps tools and infrastructure.