
Artificial Intelligence Engineer
18 hours ago
Job Opportunity:
We are seeking a skilled Data Expert to join our organization. As a key member of our team, you will play a crucial role in developing and deploying AI/ML models that drive business growth.
About the Role:
- You will design, develop, and deploy AI/ML and Deep Learning models for regression, classification, clustering, anomaly detection, and time-series forecasting.
- Apply advanced neural architectures such as CNNs, RNNs, LSTMs, Transformers, and Autoencoders to solve real-world business challenges.
- Implement Natural Language Processing (NLP) techniques, including BERT, GPT-based models, embeddings, semantic similarity, and topic modeling.
- Build and maintain predictive analytics pipelines for industrial/manufacturing use cases, especially predictive maintenance.
- Conduct Exploratory Data Analysis (EDA), feature engineering, data preprocessing, and statistical validation to ensure robust model performance.
- Collaborate with data engineers to design scalable data pipelines and ensure seamless integration of ML models into production systems.
- Communicate findings and insights to stakeholders through clear visualizations, dashboards, and reports.
- Stay updated with the latest research and advancements in AI/ML, and recommend adoption of new methods where applicable.
Requirements:
- Programming & Tools: Strong proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience: 3-4 years of hands-on experience in AI/ML and Deep Learning model development, deployment, and optimization.
- Deep Learning Expertise: Solid knowledge of CNNs, RNNs, LSTMs, Transformer-based architectures.
- NLP Knowledge: Practical experience with modern NLP models (e.g., BERT, GPT, embeddings, text classification, sentiment analysis).
- Statistical Foundation: Strong background in probability, hypothesis testing, statistical inference, and mathematical statistics.
- Database & Data Handling: Experience with SQL and databases (PostgreSQL, InfluxDB, or similar) for data extraction, transformation, and loading.
- Problem-Solving Mindset: Ability to translate complex business challenges into data-driven solutions.
Your Qualifications:
- A degree in Computer Science, Mathematics, Statistics, or related field is preferred.
- Strong analytical and problem-solving skills, with the ability to think critically and creatively.
- Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
- Able to learn quickly and adapt to new technologies and methodologies.
What We Offer:
- A competitive salary and benefits package.
- The opportunity to work on challenging projects and collaborate with experienced professionals.
- A dynamic and supportive work environment.
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