
AI Architect
4 days ago
We are looking for a highly skilled AI Architect to design, implement, and optimize advanced AI/ML-driven solutions. The ideal candidate will have strong experience in building scalable AI systems, defining architectural blueprints, and guiding engineering teams to deliver impactful business outcomes using cutting-edge :
- Responsible for consulting for the client to understand their AI/ML, analytics needs & delivering AI/ML applications to the client.
- Work closely with internal BUs and business partners (clients) to understand their business problems and translate them into data science problems
- Design intelligent data science solutions that delivers incremental value the end stakeholders
- Work closely with data engineering team in identifying relevant data and pre-processing the data to suitable models
- Develop the designed solutions into statistical machine learning models, AI models using suitable tools and frameworks
- Work closely with the business intelligence team to build BI system and visualizations that delivers the insights of the underlying data science model in most intuitive ways possible.
- Work closely with application team to deliver AI/ML solutions as modular offerings.
Skills and Competencies :
- Masters/Bachelors in Computer Science or Statistics or Economics
- At least 8 years of experience working in Data Science field and is passionate about numbers, quantitative problems
- Deep understanding of Machine Learning models and algorithms
- Experience in analysing complex business problems, translating it into data science problems and modelling data science solutions for the same
- Understanding of and experience in one or more of the following Machine Learning algorithms :
1. Regression , Time Series
2. Logistic Regression, Naive Bayes, kNN, SVM, Decision Trees, Random Forest, k-Means Clustering etc
3. NLP, Text Mining
4. LLM (GPTs) -OpenAI , Azure OpenAI, AWS Bed rock, Gemini, Llama, Deepseek etc (knowledge on fine tuning /custom training GPTs would be an add-on advantage).
5. Deep Learning, Reinforcement learning algorithm
- Understanding of and experience in one or more of the machine learning frameworks - TensorFlow, Caffe, Torch etc.
- Understanding of and experience of building machine learning models using various packages in Python
- Knowledge & Experience on SQL, Relational Databases, No SQL Databases and Datawarehouse concepts
- Understanding of AWS/Azure Cloud architecture
- Understanding on the deployment architectures of AI/ML models (Flask, Azure function, AWS lambda)
- Knowledge on any BI and visualization tools is add-on (Tableau/PowerBI/Qlik/Plotly etc).
-To adhere to the Information Security Management policies and procedures.
Soft Skills Required :
- Must be a good team player with good communication skills
- Must have good presentation skills
- Must be a pro-active problem solver and a leader by self
- Manage & nurture a team of data scientists
- Desire for numbers and patterns
(ref:hirist.tech)
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