Artificial Intelligence Architect

Job Title: AI Architect

Location:

Work Experience: 10+ Years

Objective:

We are seeking a highly skilled AI Architect to join our team. The ideal candidate will possess a deep understanding of artificial intelligence, machine learning, and data science. You will be responsible for consulting with clients to identify opportunities for AI implementation, developing and implementing AI solutions, and providing ongoing support.

Responsibilities:

1.

2. Implement and showcase Proof-Of-Concept (POCs), showcase viability and impact of AI to the Product Development and Sales team.

3. Collaborate with cross-functional teams to identify business problems and develop solutions in AI.

4. Create scalable AI systems capable of processing vast amounts of data.

5. Perform feature engineering, model selection, and hyperparameter tuning to optimize the performance of the models.

6. Build tools for monitoring, observability and deploying AI/Gen-AI applications

7. Mentor and provide guidance to junior team members on AI/Gen-AI and machine learning best practices and techniques.

8. Capability to handle Clients and crucial projects guiding solely/the team towards milestone completion.

9. Understand End-to-End development, deployment and maintenance of AI/ML/Gen-AI solutions on & off premise.

Requirements:

1.

2. Minimum of 10 years of industry experience working with machine learning algorithms and Python programming.

3. Hands-on experience in building Gen-AI application, working with Gen-AI frameworks, LLM Models

4. Proficiency in Python programming, with experience in libraries such as NumPy, Pandas, and scikit-learn. Knowledge of libraries like Tensorflow, Pytorch and Keras is crucial.

5. Solid understanding of machine learning algorithms and concepts, such as supervised and unsupervised learning, regression, classification, and clustering.

6. Strong analytical and problem-solving skills, with the ability to effectively communicate complex ideas to both technical and non-technical stakeholders.

Good to have -

1. Familiarity of cloud platforms and AI services in Azure or Google.

2. Hands-on expertise in understanding of frameworks like Langchain, Hugging face and worked on any vector database for Gen-AI solutions.

3. Abreast with the latest advancements in the AI/ML field.

4. Ability to visually represent data via PowerBI/Tableau/Charts/Graphs.

5. Any experience in Customer data manipulation is an added advantage.