Chennai, Tamil Nadu, India
Information Technology
Full-Time
Movius
Overview
AI Engineer Job Description Location: Bengaluru, KA, 560076 Skills Required:
Senior AI Engineer / Lead Data Scientist (8–12 Years Experience)
Role Overview:
We are seeking a Senior AI Engineer / Lead Data Scientist with 8–12 years of experience in NLP and LLMs, including leadership in designing, deploying, and scaling AI systems. This role involves strategic ownership of AI initiatives, mentoring junior engineers, and driving innovation in model development and deployment.
Key Responsibilities:
Senior AI Engineer / Lead Data Scientist (8–12 Years Experience)
Role Overview:
We are seeking a Senior AI Engineer / Lead Data Scientist with 8–12 years of experience in NLP and LLMs, including leadership in designing, deploying, and scaling AI systems. This role involves strategic ownership of AI initiatives, mentoring junior engineers, and driving innovation in model development and deployment.
Key Responsibilities:
- Lead the design and deployment of advanced NLP and LLM-based solutions across multiple domains.
- Architect and fine-tune foundation models (GPT, LLaMA, Mistral) for enterprise-grade applications.
- Build scalable microservices and pipelines for language understanding, entity recognition, and speech-to-text.
- Drive experimentation and performance optimization for latency, accuracy, and scalability.
- Collaborate with cross-functional teams (product, infra, DevOps) to ensure robust deployment and monitoring.
- Mentor junior engineers and contribute to AI strategy and roadmap.
- Ensure model security, observability, and compliance with best practices.
- 8–12 years of experience in AI/ML, with deep expertise in NLP and LLMs.
- Strong proficiency in Python, PyTorch/TensorFlow, and model deployment frameworks.
- Proven track record in building and scaling transformer-based models.
- Experience with MLOps platforms and production-grade deployment tools.
- Familiarity with RAG pipelines, LangChain, LlamaIndex, and speech-based systems.
- Strong understanding of model security, prompt injection risks, and observability.
- Strategic thinking and ability to align AI solutions with business goals.
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