Senior AI & ML Engineer

Nexthink; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Health insurance

Flexible work hours

Unlimited vacation days

Professional training access

Job summary

Nexthink is seeking a Senior AI & ML Engineer in Bengaluru, India. This role involves leading the design and implementation of production-grade AI applications, focusing on ML and NLP. Candidates must have experience with MLOps and be proficient in Python, as well as possess strong communication skills to explain complex concepts.

This position offers competitive benefits including a hybrid work model, health insurance, flexible hours, and unlimited vacation days. Join Nexthink and help push the boundaries of innovation in AI!

Qualifications

• Hands-on experience in AI/ML applications, particularly LLM and NLP.
• Strong understanding of machine learning principles.
• Experience with cloud-based AI deployments.

Responsibilities

• Lead end-to-end design and operation of AI/ML solutions.
• Implement and manage MLOps practices for deployments.
• Mentor junior AI engineers and foster a collaborative environment.

Skills

Python

MLOps

NLP

Machine Learning Fundamentals

AWS

Communication Skills

Education

Bsc/Master’s degree in Computer Science or related field

Job description

Are you passionate about AI and eager to drive innovation in a fast-paced, impact-driven environment? Do you have experience developing AI-powered applications and enjoy mentoring others? If so, we invite you to join Nexthink as a Senior AI & ML Engineer!

As a senior member of the AI team, you will drive architectural decisions, establish best practices, and deliver robust, scalable AI systems, with a strong focus on AI-powered and agentic applications in production environments.

Responsibilities

• Lead AI Development – Own the end-to-end design, development, and operation of production-grade AI/ML solutions, including ML and NLP models, LLM, RAG, and multi-agent systems. Make key architectural decisions across model selection, training strategies, retrieval mechanisms, orchestration layers, and infrastructure.
• AI done right – Create evaluations and define metrics of success using cutting edge AI platforms.
• MLOps – Implement and manage MLOps practices to streamline the deployment, monitoring, and maintenance of models and in production environments.
• Collaboration & Leadership – Work closely with software engineers, data scientists, and product teams to align AI capabilities with business needs.
• Mentorship & Coaching – Guide and support more junior AI engineers, fostering a culture of learning and knowledge sharing.

Qualifications

• Bsc/Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
• Hands‑on experience in LLM-powered production applications or ML/NLP applications.
• Strong proficiency in Python and AI frameworks.
• Strong understanding of machine learning fundamentals (supervised/unsupervised learning, optimization, model evaluation).
• Solid experience with NLP systems (text classification, embeddings, retrieval systems, semantic search, etc.).
• Hands‑on MLOps experience: reproducible pipelines, experiment tracking, automated evaluation, monitoring, CI/CD for models and AI artifacts.
• Solid understanding of AI model fine‑tuning, optimization, and evaluation.
• Proven experience with AWS and cloud-based AI deployments.
• Strong communication skills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders – we believe in learning by sharing.
• Knowledge of reinforcement learning, retrieval‑augmented generation (RAG), and multi‑agent AI architectures.
• Strong data intuition: ability to inspect raw logs, design metrics and quickly identify quality regressions.
• Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.

Preferred Qualifications

• Strong AWS (or equivalent cloud platform) experience for scalable AI infrastructure.
• Experience optimizing models for latency, throughput, and cost.
• Experience fine‑tuning large language models.
• Familiarity with multi‑agent systems and orchestration frameworks.
• Experience designing AI systems in enterprise or B2B environments.

If you’re excited about pushing the boundaries of AI and mentoring the next generation of engineers, we’d love to hear from you! Even if you don’t meet every requirement, we encourage you to apply—we value expertise, passion, and the drive to learn.

Benefits

• Permanent Contract and a competitive compensation package.
• Health insurance through our partnership with ACKO, including OPD coverage for dental, vision, health check‑ups, consultations, and pharmacy expenses.
• Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding.
• Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 22 days of holidays we offer). Plus, company‑paid bank holidays (12), sick days (10‑30), bereavement leave (5), and 3 days per year for volunteering.
• Free access to professional training platforms to explore your interests and enhance your skills.
• Personal accident insurance policy providing coverage up to three times your annual CTC.
• New mothers are entitled to up to 26 weeks of maternity leave, with flexibility to use up to 8 weeks before the expected delivery and the remaining 18 weeks after. Birth fathers can take 6 weeks of paternity leave, while adoptive parents are eligible for 26 weeks of leave for mothers and 6 weeks for fathers.
• Under the Payment of Gratuity Act, receive gratuity at the rate of 15 days of basic pay for every completed year of service, provided you’re employed for a minimum of 5 years. Gratuity is payable at retirement or resignation based on your last drawn basic pay.
• Bonuses for referring successful hires after three months of continuous employment.

Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up‑to‑date information, we recommend checking with your Recruitment Partner.