Are you a seasoned ML Ops Engineer with a passion for driving innovation and delivering cutting-edge solutions? Look no further, because Cognizant is seeking a Senior ML Ops Engineer to join our dynamic team. In this role, you will be a key player in developing and deploying machine learning models, optimizing and automating infrastructure, and collaborating with cross-functional teams to deliver successful projects. We are looking for a highly skilled individual with a strong background in ML Ops, a problem-solving mindset, and a drive for continuous improvement. If you are a self-motivated, results-driven professional with a desire to work on challenging projects, we want to hear from you!
- Develop and deploy machine learning models to support business objectives.
- Optimize and automate infrastructure to ensure efficient and reliable machine learning operations.
- Collaborate with cross-functional teams, including data scientists, software engineers, and project managers, to successfully deliver ML projects.
- Continuously monitor and improve the performance of deployed models.
- Identify and troubleshoot issues related to model performance, data quality, and infrastructure.
- Stay up-to-date with the latest advancements and best practices in ML Ops.
- Develop and maintain documentation for ML Ops processes and procedures.
- Provide technical expertise and guidance to junior team members.
- Proactively identify opportunities for process improvement and efficiency.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Conduct testing and validation of new ML Ops tools and technologies.
- Ensure compliance with company policies and procedures related to ML Ops.
- Communicate project progress, issues, and risks to management and other stakeholders.
- Participate in training and knowledge-sharing activities to enhance team capabilities.
- Mentor and coach team members to foster a culture of continuous learning and growth.
Extensive Experience In Machine Learning Operations: The Senior Ml Ops Engineer Should Have A Deep Understanding And Hands-On Experience With Various Machine Learning Models, Frameworks, And Tools. They Should Be Able To Develop And Deploy Ml Models At Scale And Have A Strong Understanding Of Concepts Such As Model Training, Validation, And Monitoring.
Proficiency In Cloud Computing And Devops: The Ideal Candidate Should Have A Strong Background In Cloud Computing Platforms Such As Aws, Azure, Or Google Cloud. They Should Also Have Experience With Devops Tools And Practices, Such As Ci/Cd Pipelines, Infrastructure Automation, And Containerization.
Strong Programming And Scripting Skills: A Senior Ml Ops Engineer Should Be Proficient In Programming Languages Such As Python, R, And Java. They Should Also Have Experience With Scripting Languages Like Bash Or Powershell, Which Are Used For Automating Tasks In Ml Operations.
Experience With Data Management And Governance: As A Senior Ml Ops Engineer, The Candidate Should Have A Solid Understanding Of Data Management And Governance Principles. This Includes Data Quality, Data Security, Data Privacy, And Data Lineage. They Should Also Be Familiar With Data Manipulation Tools And Technologies Such As Sql And Nosql Databases.
Excellent Problem-Solving And Communication Skills: The Role Of A Senior Ml Ops Engineer Involves Troubleshooting Complex Issues And Collaborating With Cross-Functional Teams. The Ideal Candidate Should Possess Strong Problem-Solving Skills And Be Able To Communicate Technical Information Effectively To Both Technical And Non-Technical Stakeholders. They Should Also Have Experience In Project Management And Be Able To Lead And Mentor Junior Team Members.
Sql
Python
Data Analysis
DevOps
Distributed systems
Machine Learning
Deep Learning
Data Visualization
Automation
Cloud Computing
Data engineering
Containerization
Communication
Conflict Resolution
Customer Service
Emotional Intelligence
Leadership
Time management
creativity
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Senior ML OPs Engineer in New York, NY, USA is $120,000-$150,000 per year. However, this can vary depending on factors such as the specific company, the individual's experience and skills, and the current job market. Some Senior ML OPs Engineers may earn higher salaries, up to $200,000 or more, while others may earn lower salaries, around $100,000. It is important to research the specific company and job market to get a more accurate salary estimate.
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Cognizant is an American multinational corporation that provides IT services, including digital, technology, consulting, and operations services.
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