Manager of Artificial Intelligence

2 - 6 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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Job Type

Full Time

Job Description

Role Overview: You will be working as an AI Tech Lead with a focus on developing practical and impactful AI solutions. This role is perfect for individuals who are passionate about cutting-edge AI projects and are eager to collaborate with senior AI architects and cross-functional teams. Your main responsibilities will involve designing, developing, and deploying scalable AI/ML models and tools to address real-world business challenges. Key Responsibilities: - Develop and implement AI/ML models using frameworks such as PyTorch, TensorFlow, or Keras. - Assist in constructing AI-enabled services, pipelines, and APIs for seamless integration with enterprise systems. - Provide support for data preprocessing, feature engineering, model training, and evaluation tasks. - Collaborate closely with data engineers, analysts, and stakeholders to gather requirements and enhance model performance. - Ensure proper documentation of code, workflows, and AI solution designs for easy maintainability and reproducibility. - Contribute to proof-of-concept projects and assist in transitioning models into production using MLOps tools. - Stay abreast of the latest AI trends, tools, and techniques to continuously improve your skills and knowledge. Qualification Required: - Graduates from prestigious institutions such as IITs, BITS Pilani, ISI Kolkata, or DA-IICT are highly preferred. - A Bachelor's or Master's degree in Computer Science, Data Science, or a related field is required. - Possess 2+ years of experience in machine learning or applied AI development. - Proficiency in Python is essential, along with familiarity with core libraries like scikit-learn, pandas, NumPy, etc. - Hands-on experience with at least one deep learning framework (e.g., PyTorch, TensorFlow) is necessary. - Knowledge of NLP techniques, time series modeling, or computer vision is considered a plus. - Comfortable working with version control systems like Git and cloud-based environments (e.g., AWS, GCP, or Azure).,

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