- What are the ongoing responsibilities of AI/ML Senior EngineerDeveloping AI-powered tools: Design, implement, and maintain generative AI systems to support the needs of internal teams. Ensure these tools are scalable, reliable, and efficient for daily use.

- Conducting research: Regularly explore and analyze current AI trends and technologies to incorporate the latest advancements into our products. This includes reading research papers, attending conferences, and participating in industry forums.
- Proof-of-concept (PoC) work: Create PoCs to evaluate the feasibility and performance of different AI models. Use these PoCs to demonstrate the potential benefits to stakeholders and guide decision-making.
- Collaborating with teams: Work closely with sales, distribution, and operations teams to understand their needs and challenges. Tailor AI solutions to address specific pain points and improve overall efficiency.
- Data preprocessing and analysis: Clean, preprocess, and analyze large datasets to extract meaningful insights. Use these insights to train and optimize AI models.
- Integration and deployment: Integrate AI models into existing systems and workflows. Ensure smooth deployment and monitor the performance of these models in a production environment.




- Documentation and reporting: Maintain comprehensive documentation of AI models, algorithms, and systems. Regularly report progress and results to stakeholders.
- Mentorship and knowledge sharing: Provide guidance and mentorship to junior team members. Share knowledge and best practices to foster a collaborative and innovative work environment.
- What ideal qualifications, skills & experience would help someone to be successfulBachelor s degree in Computer Science, Data Science, Machine Learning, or a related field. A master s or Ph.D. is preferred.
- Strong understanding of machine learning algorithms, deep learning frameworks, and statistical analysis.
- Proficiency in programming languages such as Python, R, or Java.

Work Experience

- 2-8 years of experience in AI/ML engineering or a related field.
- Proven track record of developing and deploying AI solutions in a production environment.
- Experience with data preprocessing, model training, and optimization techniques.
- Familiarity with cloud platforms and tools for AI/ML development and deployment.
- Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

📌 Digital & AI/ML Senior Engineer (Hyderabad)
🏢 Franklin Templeton
📍 Hyderabad