Sr. AI Engineer

years of experience in AI/ML engineering. The role primarily focuses on designing, developing,
and deploying AI solutions to extract insights from large datasets. Strong Python coding skills,
expertise in AI/ML libraries, and proficiency with cloud platforms (Microsoft Azure, AWS or GCP)
are essential. The candidate should possess hands-on experience in data processing, including
data cleaning, preprocessing, and feature engineering. Additionally, expertise in NLP
techniques, large language models, and SQL/NoSQL databases is required.The candidate is
expected to comply with the companys policies and procedures.
Must-have Skills:
Relevant Experience: 7+ years in AI/ML engineering
Strong Python Coding Skills: Proficient in Python, with a focus on AI/ML libraries (e.g.,
TensorFlow, PyTorch, scikit-learn)
Experience with Data Processing: Hands-on experience with Databricks related to data
cleaning, preprocessing, and feature engineering
Cloud Platforms: Must have experience with Microsoft Azure AI
Machine Learning Models: Experience in training, fine-tuning, and deploying machine
learning models
Natural Language Processing (NLP): Expertise in NLP techniques and libraries (e.g.,
NLTK, SpaCy, transformers)
Large Language Models (LLMs): Familiarity with integrating and fine-tuning LLMs
SQL/NoSQL Databases: Strong experience with databases and data retrieval
Data Visualization: Ability to create meaningful visualizations to communicate insights
(e.g., using tools like Power BI, Tableau, Matplotlib, Seaborn)
Problem-solving Skills: Excellent analytical and problem-solving abilities
Communication Skills: Strong written and verbal communication skills to convey
technical concepts to non-technical stakeholders
The candidate is expected to comply with the companys policies and procedures.

Good-to-have Skills:
Vector Databases: Experience working with vector databases for semantic search and
similarity matching
Containerization: Experience with containerization technologies like Docker and
Kubernetes
Big Data Tools: Familiarity with big data processing frameworks (e.g., Apache Spark,
Hadoop)
AI Ethics and Fairness: Understanding of ethical considerations and best practices in AI
Responsibilities:
Design, develop, and deploy AI solutions to extract insights from large datasets
Work with stakeholders to identify key business problems and determine how AI can
address them
Implement and optimize machine learning models and algorithms
Collaborate with data engineers to ensure data pipelines are robust and scalable
Create dashboards and reports to communicate findings to business stakeholders
Stay up-to-date with the latest AI trends and technologies to continually enhance
solution offerings
Preferred Qualifications:
Bachelors Degree in IT, Computer Science or related field
Certifications:Relevant certifications in AI/ML or cloud computing
Experience in a domain-specific AI application (Restaurant or Payment or Loyalty or
Surveys)