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Jobs by Experience drjobs

6-8years

Job Location drjobs

Bengaluru - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description



About the job: ML Ops Engineer

Career Level : Midlevel

Location : Onsite BangaloreIndia

Who We Are:

This is Spearhead Technology where every challenge is an opportunity and every solution is a masterpiece in the making. As a fulllifecycle IT company we transcend mere delivery; we engineer success.


From inception to implementation our seasoned expertise shepherds every phase of the journey. Be it planning analysis design development testing or the seamless transition to production we stand as steadfast partners in our clients progress.


At Spearhead Technology quality isnt a mere aspiration its our ethos. Rooted in Tech Advisory our methodology is guided by insights that spark transformative outcomes. We recognize the paramount importance of talent retention. Through a steadfast commitment to worklife balance competitive remuneration packages and an optimized operational model we ensure our team remains as exceptional as our services.


Step into Spearhead Technology where innovation meets precision and together lets sculpt the future of technology with finesse and distinction.


Requirements

The ML Ops Engineer ensures that our machine learning models are seamlessly integrated deployed and maintained in production environments. This role is critical for bridging the gap between data science and operations ensuring smooth continuous delivery of AI solutions.


Key Responsibilities:
Deployment Pipelines: Design and manage robust CI/CD pipelines specific to AI and machine learning projects.
Monitoring & Maintenance: Implement comprehensive monitoring systems to track model performance manage versions and enable rapid rollback if necessary.
Automation: Develop automation tools to streamline model deployment scaling and resource management in cloud environments.
Collaboration: Work closely with data scientists and developers to integrate models into production systems efficiently.
Optimization: Continuously improve operational processes to reduce downtime and improve model responsiveness.

Qualifications:
5 years of experience in DevOps or ML Ops with a focus on AIenabled products.
Strong proficiency in scripting (Python Bash) containerization (Docker Kubernetes) and cloud platforms (AWS Azure Google Cloud).
Deep understanding of CI/CD best practices and automation frameworks.
Excellent problemsolving and collaboration skills.

Benefits

What s in it for you:

At Spearhead Technology we prioritize your wellbeing and professional growth. Heres what you can expect:

  • Achieve a healthy worklife balance.
  • Competitive compensation and abundant growth opportunities.
  • Enjoy a standard 5day workweek with 2 fixed weekly offs.
  • Experience an employeecentric environment with supportive policies.
  • Benefit from familyfriendly and flexible work arrangements.
  • Access our Performance Advancement and Career Enhancement (PACE) initiative and discover opportunities for both personal and professional growth. From tailored career development plans to expert counseling services PACE empowers you to chart your course to success with confidence and clarity.
    Elevate your career trajectory with our Learning & Development (L&D) program. Join our team and embark on a transformative journey of upskilling and selfdiscovery. With continuous learning as your compass youll not only enhance your expertise but also open doors to new opportunities paving the way for career growth and fulfillment.

Please note : At Spearhead Technology we value the importance of collaboration learning and fostering connections with clients peers leaders and communities. While some inperson engagement may be required for certain roles we are committed to providing flexibility to accommodate your individual worklife balance needs.


As an equal opportunities employer Spearhead Technology welcomes and encourages applications from all members of society. We are dedicated to creating an inclusive environment where diversity is celebrated and individuals are valued for their unique perspectives and contributions. We do not discriminate on the basis of race religion or belief ethnicity disability age citizenship marital or civil partnership status sexual orientation or gender identity.



The ML Ops Engineer ensures that our machine learning models are seamlessly integrated, deployed, and maintained in production environments. This role is critical for bridging the gap between data science and operations, ensuring smooth, continuous delivery of AI solutions.

Education

Bachelor's Degree

Employment Type

Full Time

Company Industry

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