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||HR and Marketing|| ||Management Student|| IPS BUSINESS SCHOOL
Job Title: AI/ML Developer (5 Years Experience)
Location: Remote
Job Type: Full-time
Experience:5 Year
Job Summary:
We are looking for an experienced AI/ML Developer with at least 5 years of hands-on experience in designing, developing, and deploying machine learning models and AI-driven solutions. The ideal candidate should have strong knowledge of machine learning algorithms, data preprocessing, model evaluation, and experience with production-level ML pipelines.
Key Responsibilities
- Model Development: Design, develop, train, and optimize machine learning and deep learning models for classification, regression, clustering, recommendation, NLP, or computer vision tasks.
- Data Engineering: Work with data scientists and engineers to preprocess, clean, and transform structured and unstructured datasets.
- ML Pipelines: Build and maintain scalable ML pipelines using tools such as MLflow, Kubeflow, Airflow, or SageMaker.
- Deployment: Deploy ML models into production using REST APIs, containers (Docker), or cloud services (AWS/GCP/Azure).
- Monitoring and Maintenance: Monitor model performance and implement retraining pipelines or drift detection techniques.
- Collaboration: Work cross-functionally with data scientists, software engineers, and product managers to integrate AI capabilities into applications.
- Research and Innovation: Stay current with the latest advancements in AI/ML and recommend new techniques or tools where applicable.
Required Skills & Qualifications
- Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Minimum 5 years of experience in AI/ML development.
- Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM.
- Strong understanding of statistics, data structures, and ML/DL algorithms.
- Experience with cloud platforms (AWS/GCP/Azure) and deploying ML models in production.
- Experience with CI/CD tools and containerization (Docker, Kubernetes).
- Familiarity with SQL and NoSQL databases.
- Excellent problem-solving and communication skills.
Preferred Qualifications
- Experience with NLP frameworks (e.g., Hugging Face Transformers, spaCy, NLTK).
- Knowledge of MLOps best practices and tools.
- Experience with version control systems like Git.
- Familiarity with big data technologies (Spark, Hadoop).
- Contributions to open-source AI/ML projects or publications in relevant fields.
Seniority level
Seniority level
Mid-Senior level
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Information TechnologyIndustries
IT Services and IT Consulting
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