Automate Complex Business Processes

3 days ago

Hyderabad Secunderabad Telangana, India beBeeAI Full time ₹ 1,04,000 - ₹ 1,30,878
Senior Technical Leader

Develop and execute strategic plans to drive innovation and improvement across multiple areas of the organization.

Key Responsibilities:
  • Lead AI & ML Automation Initiatives : Design and implement advanced AI and machine learning models to automate complex business processes, improve operational efficiency, and drive innovation.
  • Lead Automation Projects: Design, develop, and implement automation frameworks and tools for various applications and systems. Create and execute strategies for integrating AI & ML solutions into existing automation frameworks, ensuring alignment with organizational goals.
  • Technical Leadership: Provide technical guidance and leadership to engineering teams, ensuring best practices and high-quality code and apply findings to develop state-of-the-art automation solutions.
  • Strategy Development: Develop and execute automation strategies aligned with company objectives. Establish strong relationships with enterprise architecture and technology principles to drive strategic outcomes.
  • Mentoring: Mentor and support junior engineers, fostering a culture of continuous improvement and learning, lead cross-functional teams in the development and deployment of AI-driven automation projects.

Requirements:

  • 7 years of engineering experience or equivalent demonstrated through one or a combination of work experience, training, military experience, or education.

Preferred Qualifications:

  • Proven track record in designing, developing, and implementing automation projects.
  • Expertise in automation tools and frameworks (e.g., Selenium, Jenkins, Ansible, Terraform).
  • Proficiency in programming languages such as Python, Java, R.
  • Strong understanding of CI/CD pipelines and DevOps practices.
  • Experience with cloud platforms (e.g., Azure, Google Cloud).
  • Experience designing and deploying AI/ML models in production environments.
  • Machine Learning Algorithms, Techniques, and frameworks (Ex: TensorFlow, PyTorch, scikit-learn)
  • Proficiency in implementing solutions by using Deep Learning, Reinforcement Learning, and Natural Language Processing (NLP), and Anomaly detection algorithms.
  • Expertise in Data preprocessing, feature Engineering, and Data Manipulation.
  • Ability to stay current with the latest advancements in AI/ML and integrate cutting-edge techniques into projects.

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