AI/ML Senior Engineer

4 days ago

Hyderabad, India Franklin Templeton Full time

Research and Proof-of-Concept Work:

The role includes a significant focus on research work to explore the potential of new AI technologies and methodologies. This involves experimenting with different algorithms and models to identify the most effective solutions for our needs. Proof-of-concept work is crucial to demonstrate the practicality and benefits of these AI solutions before full-scale implementation.

What are the ongoing responsibilities of AI/ML Senior Engineer?

Developing 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 new 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 pre-processing and analysis: Clean, pre-process, and analyse 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 successful?

- Bachelor'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 pre-processing, 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.

- Shift Timings: 2PM - 11PM

(ref:hirist.tech)

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