Lead AI Innovation Strategist

3 days ago


Bengaluru, Karnataka, India Asianet News Media and Entertainment Pvt Ltd Full time

We are seeking a highly skilled AI Engineer to join our strategic team at Asianet News Media and Entertainment Pvt Ltd. This is an exciting opportunity for you to contribute to developing cutting-edge AI applications that enhance user experience and drive business growth.

Key Responsibilities:

  • AI Model Development: Design, develop, and fine-tune AI models for various applications, including recommendation systems, content personalization, and automated content generation. Experiment with different architectures, algorithms, and hyperparameters to optimize model performance.
  • Natural Language Processing: Develop NLP-based solutions for sentiment analysis, text summarization, and chatbots. Leverage large language models (LLMs) to improve the quality and relevance of content recommendations.
  • Cloud Deployment and Operations: Deploy and manage AI models on cloud platforms (AWS, Azure, Google Cloud). Monitor model performance, identify issues, and implement optimizations. Collaborate with DevOps teams to ensure smooth deployment and scaling of AI applications.
  • Data Engineering and Analysis: Work with large datasets to extract meaningful insights and train AI models. Develop data pipelines to efficiently process and clean data.
  • Market Research and Vendor Evaluation: Conduct market research to identify relevant AI/ML tools, platforms, and vendors. Evaluate and select the best tools and vendors based on technical capabilities, cost-effectiveness, and alignment with business goals.
  • Team Management and Collaboration: Lead and mentor a team of interns and support in-house/partner engineering teams. Collaborate with cross-functional teams (product managers, designers, engineers) to deliver innovative solutions.

Required Skills and Qualifications:

  • Strong Foundation in AI/ML: Vertex AI, Deep Learning, Machine Learning, Neural Networks, and Statistical Modeling.
  • Proficiency in Python & TypeScript: Experience with libraries like TensorFlow, PyTorch, and Scikit-learn.
  • Natural Language Processing: Expertise in NLP techniques, including text classification, sentiment analysis, and language generation.
  • Data Engineering: Data pipelines, data cleaning, and feature engineering.
  • MLOps: Model deployment, monitoring, and retraining.
  • Experience working in Cloud Platforms: AWS, Azure, or Google Cloud Platform with experience working on RESTful APIs, Microservices, and Infra Setup with Docker, Automated Builds, Linux.

Estimated Salary: ₹20,00,000 - ₹30,00,000 per annum



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