Chief AI Engineer for Deep Learning Innovation
2 days ago
Company Overview
Lenden Club Techserve Private Limited is a pioneering firm at the forefront of artificial intelligence engineering, dedicated to pushing boundaries and delivering cutting-edge solutions.
Salary
The salary for this role is ₹20-35 lakhs per annum, depending on experience and qualifications.
Job Description
This position entails leading the development of deep learning models that drive innovation and efficiency within our organization. The ideal candidate will possess hands-on experience in handling unstructured data and building solutions using deep learning techniques.
Required Skills and Qualifications
- Extensive knowledge of deep learning frameworks such as PyTorch, TensorFlow, or Caffe.
- Proficiency in implementing object detection, GANs, and reinforcement learning algorithms.
- Strong grasp of data visualization tools like Tableau, Microsoft Power BI, and SiSense.
- Experience working with AI/Data Science/Analytics platforms like Microsoft AI, Amazon AI, IBM Watson, H2O, Knime.
- Excellent business acumen, with strong written and verbal communication skills for effective team coordination.
- Ability to analyze complex problems and translate them into efficient data science algorithms.
- Expertise in machine learning, supervised, and unsupervised learning: classification, data/text mining, NLP, decision trees, adaptive decision algorithms, neural networks, deep learning algorithms.
- Familiarity with end-to-end data science lifecycle: from proof-of-concept models to production-ready models, and collaboration with engineers to deploy them to production.
- Ability to take ownership of deep learning projects, with a focus on executing and improving existing products by adding intelligence.
Benefits
- Opportunities for professional growth and development in a dynamic environment.
- Collaborative team atmosphere and regular feedback opportunities.
Others
- The ideal candidate should be well-versed in designing frameworks in data sciences (R, Python, Azure ML, Amazon ML, Google ML, Spark) for relevant projects.
- Regularly update knowledge on the latest research in AI and deep learning, identifying ways to apply it to solve business problems.
- Read and implement novel architectures, training techniques, and other research findings to address specific challenges.
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