ML Engineer - Computer Vision

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Jubil ID: 94

Company: Entefy

Location: Anywhere

Description:
The final salary or hourly wage
as applicable
paid to each candidate/applicant for this position is ultimately dependent on a variety of factors
including
but not limited to
the candidate’s/applicant’s qualifications
skills
and level of experience as well as the geographical location of the position.Applicants must be legally authorized to work in the United States. Sponsorship not availa

Qualifications:
Applicants must be legally authorized to work in the United States Education: Bachelor’s or Master’s degree in Computer Science
Engineering
or a related field Experience: Proven experience as a software developer
with a focus on observability and AI operations Technical Skills: Proficiency in programming languages such as Python
Java
or Go; experience with observability tools like Prometheus
Grafana
and ELK stack; knowledge of AI and machine learning frameworks Problem Solving: Strong analytical and problem-solving skills
with the ability to troubleshoot complex system issues Communication: Excellent communication and collaboration skills
with the ability to work effectively in a team environment Adaptability: Ability to thrive in a fast-paced
dynamic environment
managing multiple priorities and deadlines Your Hays recruiter will lead you through a thorough screening process in order to understand your skills
experience
needs
and drivers Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text 813.336.5570 Drug testing may be required; please contact a recruiter for more information

Benefits:
Benefits/Other Compensation This position is a contract/temporary role where Hays offers you the opportunity to enroll in full medical benefits
dental benefits
vision benefits
401K and Life Insurance

Responsibilities:
In this role
you will be responsible for designing
developing
and implementing advanced observability solutions and AI-driven operational tools You will work closely with cross-functional teams to ensure seamless integration and optimal performance of our systems Design and Development: Create robust and scalable software solutions for observability and AI operations
utilizing the latest technologies and best practices System Integration: Collaborate with various teams to integrate observability and AI tools with existing infrastructure
ensuring smooth and efficient operations Monitoring and Optimization: Develop and implement monitoring strategies to proactively detect and resolve issues
enhancing system reliability and performance AI and Machine Learning: Leverage AI and machine learning techniques to automate operational tasks
predict system behavior
and improve overall efficiency Collaboration: Work closely with developers
engineers
and stakeholders to understand requirements and deliver solutions that meet business needs Documentation: Maintain comprehensive documentation of developed solutions
including design specifications
implementation details
and operational procedures Continuous Improvement: Stay updated with industry trends and advancements
continually improving and innovating observability and AI ops practices

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