Need Submissions for Machine Learning Engineer IT Infrastructur

Dear Partner,Good Morning ,Greetings from Nukasani group Inc ., We have below urgent long term contract project immediately available for Machine Learning Engineer IT Infrastructure & Automation, Remote need submissions you please review the below role, if you are available, could you please send me updated word resume, and below candidate submission format details, immediately. If you are not available, any referrals would be greatly (link removed)terviews are in progress, urgent response is appreciated. Looking forward for your immediate response and working with (link removed)ndidate Submission Format - needed from youFull Legal NamePersonal Cell No ( Not google phone number)Email IdSkype IdInterview AvailabilityAvailability to start, if selectedCurrent LocationOpen to RelocateWork AuthorizationTotal Relevant ExperienceEducation./ Year of graduationUniversity Name, LocationLast 4 digits of SSNCountry of BirthContractor Type : mm/ddHome Zip CodeAssigned Job DetailsJob Title : Machine Learning Engineer IT Infrastructure & AutomationLocation: RemoteRate : Best competitive rate Position Summary:We are seeking a highly motivated Machine Learning Engineer to join our IT Innovation team. In this role, you will leverage machine learning to enhance infrastructure performance, automate anomaly detection, and drive intelligent automation across IT operations. Your work will play a pivotal role in ensuring the stability, efficiency, and resilience of our systems. Key Responsibilities: Design and develop machine learning models to detect anomalies in system logs and network traffic. Implement predictive analytics to proactively identify potential server failures and system outages. Build and maintain automated ML pipelines for continuous monitoring, alerting, and performance optimization. Collaborate closely with DevOps teams to integrate ML solutions into CI/CD workflows and infrastructure management tools. Required Qualifications: Proficient in Python, with hands-on experience using machine learning libraries such asScikit-learn, PyTorch, or TensorFlow. Experience analyzing IT infrastructure data, including logs, metrics, and performance indicators, using tools likeSplunk, Prometheus, or similar. Solid understanding of cloud platforms (AWS, Azure) and container orchestration technologies, particularlyKubernetes. Bachelors degree in computer science, Engineering, Data Science, or a related technical field. Preferred Qualifications: Experience deploying ML models in production environments. Knowledge of MLOps practices and tools for model monitoring and versioning. Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) is a plus. With Gratitude,Bhavani Recruiting Manager Nukasani GroupEmail: 1001 E Chicago Ave, Unit B 111, Naperville, IL 60540People, Process, Technology Integrator An E-Verified Company