Posted:2 months ago| Platform:
Work from Office
Full Time
About the job: ML Ops Engineer Career Level : Mid-level Location : Onsite - Bangalore,India Who We Are: This is Spearhead Technology where every challenge is an opportunity, and every solution is a masterpiece in the making. As a full-lifecycle 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 clientsprogress. At Spearhead Technology, quality isnt a mere aspirationits 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 work-life 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 AI-enabled 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 problem-solving and collaboration skills. Benefits Whatin it for you: At Spearhead Technology, we prioritize your well-being and professional growth. Heres what you can expect: Achieve a healthy work-life balance. Competitive compensation and abundant growth opportunities. Enjoy a standard 5-day workweek with 2 fixed weekly offs. Experience an employee-centric environment with supportive policies. Benefit from family-friendly 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 (LD) program. Join our team and embark on a transformative journey of upskilling and self-discovery. 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 in-person engagement may be required for certain roles, we are committed to providing flexibility to accommodate your individual work-life balance needs. As an equal opportunitiesemployer, 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. ","Job_Opening_ID":"JPC -592
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