Generative AI Engineer
2 days ago
GenAI & Agentic AI Consultant
Role Overview:
We are looking for a dynamic and skilled GenAI & Agentic AI Consultant who can lead the development of intelligent, autonomous solutions using generative and agentic AI technologies. The ideal candidate will bring a strong foundation in applied statistics, machine learning, and data engineering, along with excellent communication and storytelling abilities to contribute to strategic initiatives, including RFPs and stakeholder engagements.
Key Responsibilities:
- Design and implement GenAI and Agentic AI solutions tailored to business needs.
- Apply statistical techniques including distributions, hypothesis testing, and regression analysis.
- Build and optimize machine learning models using algorithms such as Neural Networks, Naive Bayes, SVM, Decision Forests, etc.
- Collaborate with cross-functional teams to define and deliver impactful AI use cases.
- Contribute to RFPs, solution proposals, and client presentations with clear, compelling narratives.
- Perform advanced data manipulation, transformation, and integration across varied data sources.
- Utilize tools and frameworks such as Python, PySpark, R, SQL, Pandas, NumPy, Scikit-learn, Keras, and TensorFlow, Streamlit
- Work with Big Data platforms and adopt new technologies and languages as needed.
- Incorporate NLP and text analytics into GenAI solutions where applicable.
- Ensure alignment with data governance, privacy, and ethical AI standards.
Preferred Skills & Experience:
- Hands-on experience with GenAI technologies and frameworks.
- Exposure to Agentic AI concepts and autonomous system design.
- Strong communication and storytelling skills; able to simplify complex ideas for diverse audiences.
- Experience contributing to RFPs, solutioning, and client-facing engagements.
- Proficiency in Python, PySpark, R, SQL, and Big Data tools.
- Familiarity with cloud platforms (Azure, AWS, GCP); cloud certification is a plus.
- Understanding of MDM (Master Data Management) and Data Quality practices.
- Experience in building scalable data engineering pipelines and architectures.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field.
- 4+ (for consultant) and 6+ years (for Sr Consultant) of experience in AI/ML, data analytics, or related domains.
- Cloud certification (Azure, AWS, or GCP) is preferred.
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