Require Senior AI/ ML Developer

Roles and Responsibilities for AI/ML Developer at MyAstroGuruji

• Design and develop machine learning models and algorithms for predictive analytics and personalized recommendations.
• Build and deploy scalable AI systems with optimized performance and real-time capabilities.
• Collect, preprocess, and analyze structured and unstructured datasets for model training and evaluation.
• Develop and maintain RESTful APIs for seamless integration of AI functionalities with front-end platforms.
• Conduct rigorous testing, debugging, and optimization of machine learning models and systems.
• Implement security best practices to safeguard data and ensure compliance with data protection regulations.
• Stay updated with the latest advancements in AI/ML technologies to incorporate innovative solutions.Role & responsibilities

Preferred candidate profile

Preferred Candidate Profile for AI/ML Developer at MyAstroGuruji

• Education:
  
• B.Tech/B.E. in Computer Science, Data Science, or a related field.
• Masters degree (M.Tech/MS) in AI, ML, Data Science, or a similar discipline is a plus.
• Experience:
  
• Minimum 3-5 years of hands-on experience in developing AI/ML models and algorithms.
• Proven track record in building scalable AI systems, predictive models, and data pipelines.
• Experience with cloud platforms (AWS, Google Cloud, or Azure) for deploying machine learning models.
• Technical Skills:
  
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Keras.
• Strong understanding of machine learning algorithms, model evaluation, and hyperparameter tuning.
• Solid experience in data preprocessing, feature engineering, and working with structured and unstructured data.
• Expertise in developing and deploying RESTful APIs for AI integration.
• Experience with SQL/NoSQL databases (e.g., PostgreSQL, MongoDB).
• Familiarity with version control systems like Git.
• Preferred Skills:
  
• Knowledge of deep learning and NLP techniques for advanced AI applications.
• Experience with Big Data technologies (Hadoop, Spark) is a plus.
• Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Ability to work independently and solve complex technical challenges.
• Soft Skills:
  
• Strong problem-solving and analytical thinking abilities.
• Detail-oriented with a focus on performance optimization and system scalability.
• Self-motivated with the ability to learn and adapt to new technologies quickly.
• Good communication skills for documenting and presenting technical work.

Perks and benefits

To be disclosed later on