AIML Developers Multiple Full-Time Roles

• Bachelor s or Master s degree in Computer Science Engineering Mathematics or a related field.
• Relevant certifications or courses in AI/ML Data Science or related fields are a plus.

• Programming Languages: Proficiency in Python R or similar languages used in AI/ML development.
• Machine Learning Frameworks: Experience with frameworks such as TensorFlow PyTorch Scikitlearn or Keras.
• Data Handling: Strong skills in handling and processing large datasets with proficiency in tools like Pandas NumPy and SQL.
• Model Development: Experience in developing training and deploying machine learning models including supervised and unsupervised learning techniques.
• Algorithms: Understanding of fundamental AI/ML algorithms including neural networks decision trees clustering and regression.
• Deep Learning: Familiarity with CNNs RNNs LSTMs GANs and other deep learning architectures.
• Cloud Services: Experience with cloud platforms like AWS Google Cloud or Azure for AI/ML model deployment.
• Version Control: Proficient in using version control tools such as Git.

• ProblemSolving: Strong analytical skills with the ability to solve complex problems using datadriven approaches.
• Communication: Effective communication skills to articulate technical concepts to nontechnical stakeholders.
• Collaboration: Ability to work effectively in crossfunctional teams whether inperson or remotely.
• Adaptability: Willingness to learn and adapt to new technologies and methodologies in the AI/ML field.

• Junior: 02 years of experience in AI/ML development or related fields.
• MidLevel: 35 years of experience with a proven track record in AI/ML projects.
• Senior: 6 years of experience with leadership experience in AI/ML project management and model deployment.

• Design develop and implement machine learning models and algorithms tailored to specific business needs.
• Continuously improve model performance by experimenting with different techniques and parameters.

• Collect clean and preprocess large datasets from various sources to feed AI/ML models.
• Conduct exploratory data analysis to uncover trends patterns and insights.

• Deploy and integrate AI/ML models into existing systems or new applications ensuring scalability and reliability.
• Monitor model performance in production environments and implement improvements as needed.

• Collaborate with data engineers software developers and business analysts to translate business requirements into AI/ML solutions.
• Communicate findings and recommendations to stakeholders through reports presentations and visualizations.

• Stay updated with the latest advancements in AI/ML technologies and methodologies.
• Experiment with cuttingedge AI/ML tools and techniques to explore new opportunities for innovation.

• Maintain comprehensive documentation of models processes and results to ensure reproducibility and knowledge sharing.
• Contribute to the development of best practices and standards for AI/ML development within the team.

• Provide guidance and mentorship to junior AI/ML developers helping them to grow their technical skills and advance in their careers.
• Lead AI/ML projects and manage teams to ensure successful delivery of solutions.

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