Sr Consultant (AI&ML) - CDOT

Role & responsibilities :

1. Study, suggest and implement latest AI/ML techniques/ strategies best suited to enhance business logic of the application.

2. Design and develop AI algorithms, models, and systems using tools like PyTorch and TensorFlow for real-world applications.

3. Keep up with the latest advancements in AI/ML technologies, including generative AI and the latest features of popular tools.

4. Collaborate with cross-functional teams to understand requirements and develop AI/ML solutions.

5. Collect, clean, and preprocess data using appropriate tools and libraries, ensuring compatibility with AI/ML algorithms and frameworks.

6. Train, test, and evaluate AI/ML models employing appropriate evaluation metrics.

7. Optimize and fine-tune models for performance, scalability and efficiency.

8. Implement and deploy AI/ML solutions in production environments under different frameworks.

9. Ability to build applications and use appropriate prompting on generative AI/ML models.

10. Stay abreast of emerging AI/ML trends and technologies.

Skills :

1. Having at least 6 years of working experience in Artificial Intelligence and Machine Learning and 2 years of working experience with Central Government / PSUs/ State Government/Large Enterprise (>= 200 Employees)

2. Understanding of data structures, data modelling, and software architecture

3. Familiarity with any of the managed cloud-based services such as GCP, Azure and AWS

4. Strong programming skills in Python, Java, etc

5. Preparing reports for the management stating trends, patterns, and predictions using relevant data

6. Global benchmarking study and continuous recommendations on necessary improvisations

7. Strong knowledge of database like MongoDB and SingleStore

8. Good knowledge of implementation of Application Security

9. Strong knowledge to integrate data with Data Representation tool/chart

10. Utilize your database proficiency to design and manage data storage systems that support AI/ML workflows.

11. Communicate complex technical concepts to both technical and non-technical stakeholders.