Artificial Intelligence Engineer - Python
Posted on: 17/07/2025
Job Description
Position Overview :
We are seeking a skilled and experienced Artificial Intelligence Engineer with expertise in Python, data science, algorithms, and data analysis.
In this role, you will design, develop, and deploy advanced AI models and solutions that drive value for our business and clients.
You will work closely with data scientists, engineers, domain experts, and stakeholders to develop predictive models, uncover insights, and deliver interpretable, production-ready AI solutions.
Key Responsibilities :
- Design and implement predictive modeling and advanced machine learning algorithms to solve complex business challenges.
- Work with large-scale datasets (including terabyte-scale) to discover hidden patterns and trends.
- Develop and optimize AI solutions in fields such as NLP, computer vision, statistical learning theory, sentiment analysis, topic modeling, and graph theory.
- Build, train, and deploy deep learning models using frameworks like PyTorch, TensorFlow, and Keras.
- Leverage NLP libraries (e.g., NLTK, Spacy) to build natural language understanding systems.
- Use data mining, data cleaning, and data visualization techniques to deliver actionable insights.
- Write efficient, production-quality code in Python (and optionally R).
- Query and analyze data using SQL and NoSQL databases (e.g., MongoDB, CouchDB, Redis, Cassandra).
- Develop AI-powered chatbots leveraging Amazon LEX services.
- Work with big data and cloud platforms (AWS, Google Cloud, Microsoft Azure) to design scalable solutions.
- Communicate results clearly to domain experts, senior leaders, and engineering teams.
Required Skills and Technical Experience :
- 5+ years of industry experience in predictive modeling, data science, and analysis.
- Excellent pattern recognition and predictive modeling skills.
- Hands-on experience in one or more ML fields, such as :
a. Natural language processing (NLP)
b. Computer vision
c. Statistical learning theory
d. Sentiment analysis
e. Topic modeling
f. Deep learning methods
g. Graph theory
- Proficiency with common data science tools and frameworks :
a. Python (mandatory)
b. R (optional)
c. PyTorch, TensorFlow, Keras
d. NLTK, Spacy
e. Neo4j
- Experience working with very large datasets, using GPUs to accelerate training, and applying data visualization tools.
- Strong SQL skills, and experience with NoSQL databases (MongoDB, CouchDB, Redis, Cassandra).
- Experience in data mining, data cleaning, and advanced data analysis.
- Familiarity with big data technologies and cloud platforms (AWS, Google Cloud, Azure).
- Experience in developing AI chatbots using Amazon LEX Services.
- Ability to engage effectively with domain experts, senior leaders, and engineers to deliver interpretable and actionable results.
Preferred Qualifications :
- Masters or PhD in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field.
- Prior experience deploying AI models into production environments.
- Knowledge of MLOps tools and best practices.
- Familiarity with containerization (Docker, Kubernetes).
- Experience with real-time data pipelines and streaming data solutions.
What We Offer :
- Competitive compensation and performance-based bonuses.
- Health, dental, and wellness benefits.
- Flexible work arrangements / remote-friendly options.
- Access to cutting-edge tools and cloud resources.
- Collaborative, inclusive, and innovative team culture.
- Opportunities for continuous learning and career growth
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Posted By
69
Posted in
AI/ML
Functional Area
Data Science
Job Code
1514621
