Posted on: 14/01/2026
Description :
- Collect, preprocess, and analyze structured and unstructured datasets from multiple sources.
- Develop and deploy AI/ML models into production environments, ensuring scalability and performance.
- Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to integrate AI solutions into applications.
- Continuously research and implement state-of-the-art ML algorithms and AI techniques.
- Monitor and evaluate model performance, retraining models as needed to maintain accuracy and efficiency.
- Prepare technical documentation, reports, and presentations to communicate findings and solutions to stakeholders.
- Ensure best practices for data privacy, security, and compliance in all AI/ML initiatives.
Required Skills & Qualifications :
- Strong expertise in machine learning algorithms, statistical modeling, and deep learning
frameworks (e.g., TensorFlow, PyTorch, Keras).
- Proficiency in programming languages such as Python, R, or Java.
- Experience with data preprocessing, feature engineering, and working with structured and
unstructured data.
- Hands-on experience with cloud platforms and AI/ML deployment tools (AWS SageMaker,
Azure ML, GCP AI Platform, or similar).
- Strong understanding of model evaluation metrics, optimization techniques, and
hyperparameter tuning.
- Familiarity with big data technologies (Hadoop, Spark, SQL/NoSQL databases) is a plus.
- Excellent problem-solving skills and ability to work independently and collaboratively.
Preferred Qualifications :
- Familiarity with MLOps practices and CI/CD for ML pipelines.
- Strong communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
What We Offer :
- Collaborative and inclusive work environment.
- Professional development opportunities and access to latest AI tools and resources
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