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Mantra Softech - Senior System Engineer - Artificial Intelligence

Mantra Softech - Senior System Engineer - Artificial Intelligence

ConfidentialAhmedabad, India
14 days ago
Job description

Description

We are building the next generation of intelligent edge-to-cloud home automation systems that integrate embedded sensing, generative AI, predictive maintenance, and natural language interfaces .

If you're passionate about turning unstructured prompts into actions, deploying ML pipelines on real hardware, and working across the stack from edge ML models to cloud-scale orchestration this role is for you.

As a Senior AI Systems Engineer, You Will

  • Drive AI research and productization initiatives that combine LLMs, embedded AI, and automation intelligence for smart home and industrial ecosystems.
  • Develop AI agents capable of interpreting, reasoning, and autonomously executing context-aware tasks based on multi-modal inputs (text, audio, video, sensor).
  • Design scalable AI / ML pipelines with high-throughput and low-latency, supporting real-time inference and feedback loops.
  • Lead prompt engineering efforts for GenAI-driven systems like text-to-SQL, text-to-command, rule automation, and context-aware conversation interfaces.
  • Deploy and optimize models on embedded hardware platforms such as Syntiant, NVIDIA Jetson, or ARM-based devices.
  • Integrate real-time streaming data (sensor, audio, video) into AI analytics and decision pipelines.
  • Develop robust MLOps pipelines including model versioning, retraining, deployment, and continuous monitoring.
  • Collaborate on AWS-based infrastructure for edge-cloud synchronization, scalable APIs, and AI model serving.
  • Prototype and integrate cutting-edge generative AI solutions into production systems with strong emphasis on reliability and interpretability.

Required Skills

  • Strong foundation in statistical ML, signal processing, and predictive modeling.
  • Expertise with ML frameworks such as PyTorch, TensorFlow, Scikit-learn, and OpenCV.
  • Proven experience working with real-world sensor and time-series data (audio, vibration, telemetry).
  • Deep understanding of MLOps (MLflow, DVC, CI / CD, model monitoring).
  • Excellent programming skills in Python and / or C / C++.
  • Experience building multi-modal AI Agentic systems combining text, audio, sensor, and visual data.
  • Familiarity with voice activity detection (VAD), wake-word detection, and speech-to-command models.
  • Hands-on experience in predictive maintenance and time-series forecasting.
  • Practical experience with LLMs, prompt engineering, and GenAI APIs.
  • Exposure to Docker, microservice deployments, and containerized model serving.
  • Knowledge of model optimization techniques quantization, pruning, and embedded inference.
  • Experience with data annotation, synthetic data generation, and active learning pipelines.
  • Strong grasp of SQL (query optimization, schema design, and ML integration) and NoSQL systems (MongoDB, Redis).
  • Understanding of AI safety, robustness, and explainability for production-grade deployments.
  • Experience with Bitbucket, Jira, or similar version control and project management tools.
  • Preferred Skills

  • Hands-on experience with LangChain, LlamaIndex, or custom AI agent frameworks.
  • Understanding of digital twins, condition monitoring, or industrial telemetry systems.
  • Experience with event-driven edge / cloud orchestration and IoT pipeline integration.
  • (ref : hirist.tech)

    Skills Required

    Sql, Redis, Tensorflow, Nosql, Pytorch, MLops, Docker, Opencv, Mongodb, Python

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