Innovative AI Leader

1 day ago

Surat, Gujarat, India beBeeArtificial Full time ₹ 1,20,00,000 - ₹ 2,00,00,000

Lead AI Engineer

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This visionary leader will spearhead the design, development, and deployment of advanced machine learning solutions.

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You will guide a team of AI/ML engineers, contribute hands-on to critical technical challenges, and collaborate with cross-functional teams to deliver impactful AI products.

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The ideal candidate thrives at the intersection of innovation, engineering rigor, and business value.

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  • Technical Leadership: Lead the architecture, development, and deployment of machine learning models and AI systems across a range of use cases.">
  • Model Development: Design, train, and optimize supervised, unsupervised, and deep learning models using frameworks like PyTorch, TensorFlow, and XGBoost.">
  • Mentorship: Coach and mentor a team of ML engineers and data scientists; foster a culture of innovation, ownership, and continuous learning.">
  • Project Management: Drive planning, execution, and delivery of AI/ML projects, ensuring alignment with business objectives and technical feasibility.">
  • System Design: Architect scalable, secure, and high-performance ML pipelines and services using cloud-native tools and MLOps best practices.">
  • Collaboration: Work closely with product managers, data engineers, and DevOps teams to translate business problems into AI-driven solutions.">
  • Code Quality & Governance: Establish standards for model quality, reproducibility, documentation, versioning, and monitoring.">
  • Innovation: Stay current with research and industry trends in ML/AI, evaluate new tools, and introduce state-of-the-art solutions where applicable.">
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Required Skills and Qualifications:

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  • Education: Bachelor's or Master's in Computer Science, Machine Learning, Data Science, or related technical field.">
  • Experience: 6–10+ years of experience in software engineering or AI/ML, with at least 2+ years in a technical leadership role.">
  • Technical Expertise:">
    • Strong programming skills in Python and experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face.">
    • Deep understanding of ML fundamentals: feature engineering, model evaluation, optimization, and deployment.">
    • Proficiency in designing and building data pipelines, real-time processing, and model inference systems.">
    • Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.">
    • Familiarity with MLOps tools (e.g., MLflow, DVC, Airflow, SageMaker) and vector databases (e.g., FAISS, Pinecone).">
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Preferred Qualifications:

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  • Hands-on experience with LLMs, RAG pipelines, or generative AI applications.">
  • Familiarity with agentic AI frameworks (LangChain, CrewAI, AutoGPT).">
  • Domain expertise in fintech, healthtech, HR tech, or industrial automation.">
  • Contributions to open-source AI/ML projects or published research.">
  • Knowledge of responsible AI practices, explainability (XAI), and model governance.">
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Soft Skills:

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  • Strong leadership and team-building skills.">
  • Clear and persuasive communication with both technical and non-technical stakeholders.">
  • Strategic thinker with attention to detail and a bias for action.">
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