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Senior AI & ML Engineer at Nexthink | Bengaluru

NexthinkBengaluru
Hybrid Full-time

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Experience Level

Senior

Qualifications

Master’s or Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related discipline. Proven hands-on experience with LLM-powered production applications or ML/NLP solutions. Expertise in Python and AI frameworks. Deep understanding of machine learning principles (both supervised and unsupervised learning, optimization, model assessment). Extensive experience with NLP systems (including text classification, embeddings, retrieval systems, semantic search, etc.). Proficient in MLOps practices: reproducible pipelines, experiment tracking, automated evaluation, monitoring, and CI/CD for models and AI artifacts. Comprehensive understanding of AI model fine-tuning, optimization, and evaluation. Demonstrated experience with AWS and cloud-based AI deployments. Excellent communication skills in English, adept at conveying complex AI concepts to both technical and non-technical audiences, as we believe in knowledge sharing. Familiarity with reinforcement learning concepts.

About the job

Are you driven by a passion for Artificial Intelligence and eager to foster innovation within a dynamic, impact-oriented environment? Do you possess substantial experience in developing AI-driven applications and have a knack for mentoring others? If this resonates with you, we would love for you to become a part of our team at Nexthink as a Senior AI & ML Engineer!

In this pivotal role as a senior member of the AI team, you will spearhead architectural decisions, set best practices, and deliver resilient, scalable AI systems, with a keen focus on AI-driven and agentic applications operating in production settings.

Key Responsibilities

  • Lead AI Development: Take ownership of the comprehensive design, development, and operational management of production-level AI/ML solutions, encompassing ML and NLP models, large language models (LLM), retrieval-augmented generation (RAG), and multi-agent systems. Make critical architectural decisions regarding model selection, training methodologies, retrieval techniques, orchestration frameworks, and infrastructure.
  • AI Excellence: Develop evaluations and establish success metrics utilizing state-of-the-art AI platforms.
  • MLOps: Apply and oversee MLOps methodologies to enhance the deployment, monitoring, and maintenance of models in production environments.
  • Collaboration & Leadership: Partner closely with software engineers, data scientists, and product teams to synchronize AI capabilities with business objectives.
  • Mentorship & Coaching: Provide guidance and support to junior AI engineers, nurturing a culture of continuous learning and knowledge sharing.

About Nexthink

Nexthink is at the forefront of digital employee experience management software. We empower IT leaders with unparalleled insights that allow them to identify, diagnose, and resolve issues at scale, impacting employees across various applications and networks, often before they even notice a problem. As the first solution to transition IT from reactive problem-solving to proactive optimization, Nexthink enables over 1,300 clients to deliver superior digital experiences to more than 18 million employees worldwide. With dual headquarters in Lausanne, Switzerland, and Boston, Massachusetts, our presence spans across 9 offices globally.#LI-Hybrid

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