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AI/ML Engineer
AI/ML EngineerLingaro • Bengaluru, IN
AI / ML Engineer

AI / ML Engineer

Lingaro • Bengaluru, IN
30+ days ago
Job description

Role : AI / ML Engineer – Lead AI DevOps Engineer

Location : India, Remote

About Lingaro :

Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.

Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.

About DS / AI Competency Center :

Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions. Utilizes Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance. Delivers business solutions using multiple AI techniques and tools.

Website :

https : / / lingarogroup.com /

Requirements : Must Have :

  • 5+ years in DevOps / Cloud Engineering with AI / ML / GenAI project experience.
  • Proven experience deploying LLMs / SLMs (model serving, inference optimization, RAG, GenAI apps).
  • Expert proficiency in Linux and macOS administration; Windows a plus.
  • Advanced Python and scripting (Bash / PowerShell) for automation and integration.
  • Deep knowledge of IaC (Terraform, Ansible) and CI / CD (Azure DevOps, GitHub Actions, Jenkins).
  • Strong expertise in Azure cloud, Kubernetes, and enterprise AI / ML platforms.
  • Track record in delivering secure, production-ready solutions for AI / ML / GenAI.
  • Familiarity with monitoring, observability and FinOps practices.
  • Excellent leadership, communication and mentoring skills.
  • Fluency in written and spoken English

Tasks :

The person will act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams.

Key duties are :

  • Leading architecture and deployment of AI / ML / GenAI solutions (LLM / SLM at scale).
  • Driving automation of infrastructure, model lifecycle and inference pipelines.
  • Overseeing CI / CD processes for AI / ML / GenAI workloads.
  • Designing secure, scalable cloud infrastructures (Azure-focused).
  • Acting as technical advisor for stakeholders and client-facing solution design.
  • Mentoring engineers, promoting best practices, and fostering innovation in GenAI adoption.
  • Coordinating cross-functional teams to align AI engineering with business outcomes.
  • Ensuring cost optimization, monitoring and compliance across environments.
  • Why join us :

  • Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
  • 100% remote.
  • Flexibility regarding working hours.
  • Full-time position
  • Comprehensive online onboarding program with a “Buddy” from day 1.
  • Cooperation with top-tier engineers and experts.
  • Unlimited access to the Udemy learning platform from day 1.
  • Certificate training programs. Lingarians earn 500+ technology certificates yearly.
  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
  • Grow as we grow as a company. 76% of our managers are internal promotions.
  • A diverse, inclusive, and values-driven community.
  • Autonomy to choose the way you work. We trust your ideas.
  • Create our community together. Refer your friends to receive bonuses.
  • Activities to support your well-being and health.
  • Plenty of opportunities to donate to charities and support the environment.
  • Please click on this link to submit your application :

    https : / / system.erecruiter.pl / FormTemplates / RecruitmentForm.aspx?WebID=2dda71db7ed0435295baf3470889ff4c

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