DevOps Engineer, MLOps - Hyderabad @ Epiq Systems

We are seeking a highly skilled DevOps Engineer with good knowledge of ML-Ops for designing, implementing, and maintaining the infrastructure for our company's software development and machine learning operations.

As a DevOps Engineer, you will work closely with software developers, data scientists, and other stakeholders to ensure that the software development and machine learning processes are efficient, secure, and scalable. You will also be responsible for automating the software development and machine learning workflows to enable faster and more frequent releases.

Job Responsibilities:

• Design, implement, and maintain the infrastructure for software development and machine learning operations.
• Collaborate with software developers, data scientists, and other stakeholders to ensure efficient, secure, and scalable software development and machine learning workflows.
• Automate the software development and machine learning workflows using DevOps and ML Ops tools and frameworks.
• Monitor and optimize the software development and machine learning workflows to ensure their efficiency and accuracy.
• Develop and maintain the tools and frameworks necessary for DevOps and ML Ops
• Ensure the security and privacy of the software development and machine learning workflows and data.
• Troubleshoot and resolve issues related to the infrastructure and workflows. Conduct root cause analysis, and implement fixes by creating needed artifacts and/or checks & balances in the workflows
• Stay up to date with the latest advancements in DevOps and ML Ops and recommend new tools and techniques to improve our operations.

Requirements / Skills :

• Bachelors / masters degree in information or computer science required B.Tech, MCA, MS Computers.
• 3+ years of experience in DevOps and ML Ops or related field
• Strong programming skills in Python, Java, or other programming languages
• Experience with DevOps tools such as Jenkins, GitLab, or CircleCI
• Experience with cloud-based infrastructure such as AWS, and Microsoft Azure
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Strong analytical and problem-solving skills
• All-round communication skills and ability to work collaboratively.

Competencies

Integrity Behaves in an honest, fair, and ethical manner; shows consistency in words and actions; does what she/he commits to doing; respects the confidentiality of information or concerns shared by others; is honest and forthright with people; carries his/her fair share of the workload; takes responsibility for own mistakes.

Client Focus Takes action with the clients, both internal and external, and sees their needs as a primary focus; builds a sustaining collaborative and productive relationship with clients; seeks to understand client situations, issues, expectations, etc.; takes appropriate action to meet client needs and address concerns; implements or utilizes methods to monitor and evaluate client feedback.

Results-Driven Sets stretch goals for personal and team accomplishment and works tenaciously to achieve those goals; acts with a sense of urgency; takes the initiative on actions; identifies what needs to be done and takes action before being asked; does more than what is normally required in a situation; establishes metrics to monitor progress and measure success; maintains focus by avoiding or overcoming roadblocks.

Entrepreneurial Orientation Proposes innovative business opportunities/ideas to customers and business partners; encourages and supports entrepreneurial behavior in others; demonstrates willingness to take calculated risks to achieve business goals.

Decisiveness Makes well-informed, effective, and timely decisions even when data is limited, or solutions produce unpleasant consequences; perceives the impact and implications of decisions; can make tough decisions.