Talent.com
Artificial Intelligence Researcher

Artificial Intelligence Researcher

ConfidentialAhmedabad, India
4 days ago
Job description

About Us – Mantra Softech

Mantra Softech is a technology leader in biometric (Face, Finger, & Iris) solutions, now building the next generation of AI-powered smart home devices. As we expand into intelligent IoT, we're forming a world-class AI team to bring real-time perception, decision-making, and automation to the edge. Join us to shape the future of connected living.

Role Overview

We're looking for a AI Research Engineer who thrives at the intersection of AI, embedded systems, and real-world impact. You will lead initiatives in LLMs, Edge AI, sensor fusion, ML Models and natural language interfaces to build AI-powered experiences across a new class of smart home devices.

About the Role

We are building the next wave of agentic AI systems that combine large language models, real-time streaming data, and edge-to-cloud intelligence. If you're passionate about GenAI applications , AI agents , and turning complex natural language prompts into production-grade actions and insights , this role will give you the opportunity to work across LLMOps, multimodal AI, and real-world deployments .

This is not just a research role — we're looking for someone who has hands-on experience in delivering AI systems end-to-end, from proof-of-concept to production deployment.

Key Responsibilities

  • Lead the design and development of GenAI-driven AI agents that can interpret multimodal inputs (voice, vision, text, sensors) and perform context-aware actions.
  • Drive initiatives in agentic AI frameworks , building pipelines where LLMs interact with tools, APIs, and real-world devices.
  • Architect and implement LLMOps workflows : continuous training, fine-tuning, versioning, monitoring, and evaluation of large models.
  • Build and deploy real-time AI applications across cloud and edge environments with measurable performance and reliability.
  • Deliver LLM-based interfaces for natural language to SQL, command execution, and intelligent assistants.
  • Optimize GenAI solutions for latency, accuracy, and cost-efficiency while scaling across embedded platforms and cloud infrastructure.
  • Collaborate with product and research teams to take prototypes into production , ensuring robust deployments and maintainability.
  • Integrate real-time streaming data (audio / sensor) into agentic workflows and analytics pipelines.
  • Continuously evaluate advancements in LLMs, agent frameworks (LangChain, LlamaIndex, custom orchestrators), and apply them to real-world use cases.
  • Ensure AI system reliability through safety, robustness, and explainability techniques.

Required Skills

  • 3–5 years of proven experience in designing, deploying, and delivering AI / ML systems into production.
  • Hands-on expertise in LLMs, GenAI pipelines, prompt engineering, and agentic AI .
  • Strong track record of deploying real-world AI solutions with measurable outcomes.
  • Proficiency in Python (and / or C / C++) , PyTorch / TensorFlow, and AI / ML frameworks.
  • Experience in LLMOps : MLflow, DVC, monitoring, CI / CD for ML pipelines.
  • Strong background in time-series analysis, predictive modeling , and sensor analytics.
  • Experience with model optimization (quantization, pruning, distillation) for edge and low-latency deployment .
  • Deep knowledge of SQL and exposure to NoSQL databases (Redis, MongoDB).
  • Proven ability to prototype quickly and deliver production-grade AI systems on tight timelines.

    • Preferred Skills

  • Experience with LangChain, LlamaIndex, or custom agent orchestration frameworks .
  • Exposure to digital twins, telemetry, and real-time condition monitoring .
  • Knowledge of AI safety, robustness, and explainability for LLM-based systems.
  • Hands-on experience with cloud deployment (AWS / Azure / GCP) and edge-cloud orchestration .
  • Familiarity with microservices, Docker, Kubernetes , and scalable backend architecture.

    • Qualifications

  • Master's degree in AI / ML, Computer Science, or a related field from a reputed institute.
  • 4–6 years of industry experience with hands-on GenAI and production deployments .
  • Experience in Pattern Recognition and Neural Networks
  • Strong background in Computer Science
  • Proficiency in Natural Language Processing (NLP)
  • Software Development skills
  • Excellent problem-solving and analytical skills
  • Bachelor's or Master's degree in Computer Science, AI, or related field
  • Excellent collaboration and communication skills

    • Skills Required

    pruning , Sql, Tensorflow, Pytorch, Distillation, Gcp, Predictive Modeling, Microservices, Cloud deployment, Aws, Redis, Kubernetes, Python, Azure, Docker, Mongodb

    Create a job alert for this search

    Researcher Artificial Intelligence • Ahmedabad, India