Job description:

Job TitleGenAI EngineerAbout the Role" Strong ML Fundamentals Strong Programming skills in Python, Java & C++ Provide technical leadership and mentorship to other members of the AI development team. Develop and implement natural language processing systems. Develop and implement cutting-edge artificial intelligence systems"Responsibilities" At least 5 years of experience designing and implementing artificial intelligence systems. Strong experience with machine learning, natural language processing, and computer vision technologies. Proficiency in programming languages such as Python, Java, and C++. Experience working with cloud computing platforms such as AWS, Azure, or GCP. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to work independently and as part of a team. Strong leadership skills and ability to mentor other members of the AI development team. Experience with deep learning frameworks such as TensorFlow, Keras, and PyTorch. Experience with distributed computing systems such as Hadoop or Spark. Experience with containerization technologies such as Docker or Kubernetes. Experience with agile software development methodologies."Qualifications, Skills and Competencies"Education & Experience:- Bachelor s/Master s Certification in Machine Learning Engineer "Technical / Functional Skills:- Python, AI/ML, NLP, SQL, GCPCore Competencies (Soft Skills):- Strong communication & presentation- Analytical, client-first mindset- Leadership & stakeholder management- Ability to work in global, fast-paced environment.

• Key Responsibilities
  1. To be responsible for providing technical guidance / solutions ;define, advocate, and implement best practices and coding standards for the team.
  2. To develop and guide the team members in enhancing their technical capabilities and increasing productivity
  3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
  4. To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalations.