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1 day ago
The ideal candidate will possess exceptional leadership skills and a strong technical foundation in machine learning, software engineering, and innovation.
Primary Responsibilities- Strategic Leadership: Spearhead the development and deployment of advanced AI solutions across various business use cases.
- Technical Development: Design, train, and optimize supervised, unsupervised, and deep learning models using cutting-edge frameworks.
- Team Mentoring: Foster a culture of continuous learning and innovation by coaching and mentoring a team of ML engineers and data scientists.
- Project Execution: Drive planning, execution, and delivery of AI/ML projects, ensuring alignment with business objectives and technical feasibility.
- Education: Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related technical fields.
- 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 extensive experience with popular ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face.
- Deep understanding of ML fundamentals, including feature engineering, model evaluation, optimization, and deployment.
- Proficiency in designing and building data pipelines, real-time processing, and model inference systems.
- 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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