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Artificial Intelligence Architect - Machine Learning Models

Artificial Intelligence Architect - Machine Learning Models

Spectrum ConsultingChennai
30+ days ago
Job description

Key Responsibilities :

Solution Design & Architecture :

  • Architect scalable, secure, and cost-effective cloud-based and on-premise solutions to process IoT data efficiently.
  • Design and integrate AI / ML models into enterprise systems, ensuring performance and scalability.
  • Evaluate and select technologies, platforms, and frameworks to optimize IoT-based AI workflows.

AI / ML Development :

  • Develop and deploy machine learning and deep learning models tailored to IoT data streams.
  • Leverage advanced AI techniques, including transformers, autoencoders, and graph-based models, for predictive analytics and decision support.
  • Fine-tune large language models (LLMs) for domain-specific tasks, integrating frameworks like Hugging Face and LangChain.

    • Data Engineering & Integration :

  • Collaborate with data engineers to preprocess and structure IoT data pipelines for training and inference.
  • Integrate diverse IoT data sources and implement efficient ETL pipelines for real-time and batch processing.
  • Ensure seamless interaction between AI / ML systems, APIs, and enterprise platforms.

    • Performance & Scalability Optimization :

  • Optimize IoT data processing and AI workflows for large-scale data handling using tools like Apache Spark and Hadoop.
  • Implement MLOps practices, ensuring automated deployment pipelines and continuous model monitoring.
  • Manage microservices and containerized deployments with Docker and Kubernetes.

    • Cross-functional Collaboration :

  • Partner with teams to integrate AI / ML insights into IoT systems, enhancing traceability, maintenance, and operational efficiency.
  • Work closely with business analysts, UX designers, and stakeholders to align technical solutions with business needs.

    • Innovation & Continuous Improvement :

  • Stay updated with advancements in AI, IoT, and cloud technologies to drive innovation.
  • Propose enhancements for deployed solutions based on performance metrics and feedback.

    • Technical Skills and Qualifications :

    Education :

  • Bachelor's or Master's degree in Computer Science, AI / ML, Data Science, or related fields.

    • Core Skills :

  • Programming : Proficient in Python, R, or Java, with expertise in libraries like NumPy, Pandas, and TensorFlow.
  • AI / ML Frameworks : Hands-on experience with TensorFlow, PyTorch, or JAX for developing advanced AI models.
  • NLP & LLMs : Expertise in deploying and fine-tuning LLMs such as GPT-4, LLaMA, and similar tools.
  • IoT Integration : Experience with IoT platforms and solutions for manufacturing analytics, predictive maintenance, and real-time data processing.
  • Big Data Tools : Proficiency with Apache Spark, Kafka, and Hadoop for large-scale data processing.
  • Cloud Platforms : Extensive experience with AWS, Azure, or GCP for AI / ML workload deployment.
  • Database Expertise : Familiarity with SQL and NoSQL databases (e.g., MongoDB, Postgres).

    • Preferred Skills :

  • Containerization : Proficiency in Docker and Kubernetes for scalable deployments.
  • MLOps : Experience with MLflow, Kubeflow, and similar tools for model lifecycle management.
  • Optimization Algorithms : Knowledge of simulation and optimization techniques for decision-making support.
  • Security : Implementing robust security measures for IoT data and applications.
  • Graph AI : Experience with graph embeddings and graph-based RAG for modeling complex relationships.

    • Soft Skills :

  • Strong analytical and problem-solving abilities.
  • Excellent communication skills for conveying technical concepts to non-technical stakeholders.
  • Proven ability to work collaboratively across diverse teams.

    • (ref : hirist.tech)

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