AI Solutions Architect

1 week ago

Alwar, Rajasthan, India beBeeArtificialIntelligence Full time US$ 1,80,000 - US$ 2,00,000

We are seeking an experienced professional to lead the design, development, and deployment of cutting-edge AI solutions that enhance product development workflows, engineering services, and organisational processes.

  • Apply advanced machine learning techniques to improve areas such as hardware verification, software testing, security checking, account marketing, and CRM optimisation.
Main Responsibilities:
  • Ai Model Development: Select and build appropriate Ai/ml models based on problem type and business objectives.
  • Split datasets into training/testing sets, ensuring robust evaluation and validation.
  • Ensure models are designed for transparency, interpretability, and regular updates.
  • Data Management & Quality: Collect, clean, and preprocess datasets from multiple sources.
  • Ensure data relevance and accuracy while detecting and removing bias.
  • Manage large-scale structured and unstructured datasets for modelling.
  • Engineering Services Integration: Apply Ai to improve hardware verification, software testing, and security checking.
  • Automate processes in account marketing, crm, and organisational workflows.
  • Collaborate with cross-functional engineering teams to embed Ai into production systems.
  • Ai Deployment & Monitoring: Deploy models into real-world environments with emphasis on scalability and reliability.
  • Monitor performance, retrain, and refine models as needed.
  • Maintain clear documentation and version control for reproducibility.
  • Research & Collaboration: Stay updated with the latest trends in Ai, machine learning, and automation.
  • Work with stakeholders to identify opportunities where Ai adds measurable business value.
  • Collaborate across product, engineering, and business teams to align Ai strategy with company goals.
Required Skills:
  • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related field.
  • Minimum 6+ years in engineering (software, hardware, or systems).
  • At least 3 years in Ai/ml, with hands-on experience in model development, training, and deployment.
  • Strong programming ability (python, java, or r).
  • Proficiency with Ai/ml frameworks (tensorflow, pytorch, keras, hugging face).
  • Solid knowledge of data science practices: feature engineering, training/testing pipelines, evaluation metrics.
  • Familiarity with nlp, computer vision, and/or generative Ai.
  • Experience with cloud platforms (aws, gcp, azure) and devops (docker, kubernetes, ci/cd).
Preferred Qualifications:
  • Advanced degree (master's or phd) in Ai, ml, data science, or related field.
  • Background in applying Ai to engineering-heavy environments (e.g., hardware verification or testing).
  • Contributions to Ai research, open-source projects, or published papers.

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