3 - 7 years

0 Lacs

Posted:23 hours ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As an AI/ML Developer at I4C, your role will involve the following: - Use of AI/ ML tools and technologies to automate various cybercrime investigation processes, identifying and implementing the most suitable AI tools available in the market for use by I4C. - Train machine learning models using datasets, tuning hyperparameters to optimize performance. - Deploy trained machine learning models into production environments where they can be used by other applications or services. - Collaborate with software engineers to integrate AI models into existing systems, such as web applications, mobile apps, or enterprise solutions. - Maintain clear and thorough documentation of code, model design, deployment processes, and performance evaluation to ensure reproducibility and transparency. Qualifications required for this role are: - B.E/B.Tech /M.Tech/ MCA/MBA/PG in Computer Science and allied fields with First Division or with a minimum of 60% marks in aggregate from a recognized University/Institution. Desirable skills and certifications include: - Industry certifications like Certified Artificial Intelligence Consultant (CAIC), AWS Certified Machine Learning, or other industry equivalent certifications. - Bachelors or Masters degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Machine Learning, or a related field. To be eligible for this position, you should have: - Minimum of 3 years of experience in AI/ML development, with hands-on experience in implementing machine learning algorithms and working with Large Language Models (LLMs), OpenAI, Ollama, and Generative AI technologies. - Proven experience in using AI/ML tools and technologies to automate various processes, identifying and implementing the most suitable AI solutions available in the market. - Strong proficiency in programming languages such as Python, R, Java, or similar, along with experience in popular ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).,

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