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 appreciated.
Interviews are in progress, urgent response is appreciated. Looking forward for your immediate response and working with you.
Candidate Submission Format - needed from you
Full Legal Name
Personal Cell No ( Not google phone number)
Email Id
Skype Id
Interview Availability
Availability to start, if selected
Current Location
Open to Relocate
Work Authorization
Total Relevant Experience
Education./ Year of graduation
University Name, Location
Last 4 digits of SSN
Country of Birth
Contractor Type
: mm/dd
Home Zip Code
Assigned Job Details
Job Title : Machine Learning Engineer – IT Infrastructure & Automation
Location: Remote
Rate : 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 as Scikit-learn, PyTorch, or TensorFlow.
- Experience analyzing IT infrastructure data, including logs, metrics, and performance indicators, using tools like Splunk, Prometheus, or similar.
- Solid understanding of cloud platforms (AWS, Azure) and container orchestration technologies, particularly Kubernetes.
- Bachelor’s 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 Group
Email:
1001 E Chicago Ave, Unit B 111, Naperville, IL 60540
People, Process, Technology Integrator An E-Verified Company