AIML Lead

Experience: 7+ Years

Location: Ahmedabad

Key Responsibilities

• Design and develop AI/ML models and algorithms that are scalable, efficient, and effective in solving complex problems.
• Handson technical guidance to data scientists team to develop and refine AI/ML models, and ensure that models are properly validated and tested.
• Work closely with software engineers to integrate AI/ML models into software applications and ensure seamless deployment.
• Stay up-to-date with the latest developments and advancements in AI/ML, and apply this knowledge to drive innovation and improvement in our solutions.
• Develop and maintain technical documentation, including code comments, technical reports, and presentations, to ensure that AI/ML solutions are properly documented and understood.
• Participate in code reviews and ensure that AI/ML code is of high quality, maintainable, and scalable.
• Collaborate with QA engineers to develop and execute comprehensive testing plans for AI/ML solutions.
• Work closely with operations teams to ensure that AI/ML solutions are properly deployed and maintained in production environments.

Requirements

Must have

• 7+ years of experience as a software engineer with a strong technical background in AI/ML.
• Recent hands-on experience of at least 4 years in AI/ML and generative AI technologies.
• Handson knowledge of application development on AWS and Azure cloud with various relevant services.
• Experience with conversational AI assistants using enterprise data, predictive analytics, text analytics, image analytics etc
• Strong programming skills in languages as Python, Java, or C++.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, Keras, OpenCV, Scikit-Learn, NLTK.
• Experience with data science tools such as Jupyter Notebook, pandas, or NumPy.
• Strong understanding of machine learning algorithms, including supervised and unsupervised learning, and deep learning techniques.
• Experience with data preprocessing, feature engineering, and data visualization.
• Strong analytical and problem-solving skills, with the ability to debug and optimize AI/ML models and complex code.

Nice to have

• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Experience with Agile development methodologies and version control systems such as Git.
• Experience with containerization using Docker or Kubernetes.
• Experience with DevOps tools such as Jenkins, Docker, and Kubernetes.
• Certification in AI/ML, such as Certified Data Scientist or Certified Machine Learning Engineer.