AI Developer
AI Developer
Posted on :
31-05-2025
Employer Active
1 Vacancy
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Job Description
Job Responsibilities
Years of Experience: 1-3 Yrs
Responsibilities:
AI & ML Model Development:
- Execute PoCs and MVPs for AI and ML projects focusing on practical implementation.
- Develop and refine ML models including supervised and unsupervised learning algorithms.
- Build and deploy GenAI solutions such as Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) systems and chatbots.
- Collaborate with AI Engineers to integrate models into enterprise applications. Data Handling & Preprocessing:
- Collect clean and preprocess data to ensure quality inputs for model training.
- Conduct exploratory data analysis (EDA) to uncover insights and inform model development.
- Work with Data Engineers to ensure smooth data pipelines and infrastructure.
Model Evaluation & Optimization:
- Evaluate model performance using appropriate metrics and fine-tune algorithms for optimal results.
- Monitor GenAI outputs for issues such as bias hallucinations and accuracy.
- Implement feedback loops for continuous model improvement.
Collaboration & Documentation:
- Work closely with the AI Lead and cross-functional teams to align projects with business objectives.
- Document model development processes code and findings for transparency and reproducibility.
- Contribute to the development of best practices and playbooks for AI and ML solutions. Continuous Learning & Development:
- Stay updated with the latest trends and advancements in AI ML and GenAI technologies.
- Participate in team knowledge-sharing sessions and training opportunities.
Skills/Qualifications:
Education:
- Bachelors or Masters degree in Computer Science Data Science AI or a related field. Experience:
- 1-3 years of experience in data science machine learning or AI-related roles.
- Hands-on experience with ML model development and deployment.
- Exposure to GenAI technologies including LLMs and chatbot development is a plus. Technical Skills:
- Proficient in Python and SQL for data manipulation and model development.
- Familiarity with ML frameworks and libraries such as scikit-learn TensorFlow or PyTorch.
- Experience with data visualization tools (e.g. Matplotlib Seaborn) and EDA techniques.
- Basic understanding of MLOps tools like MLflow Airflow or similar is an advantage.
- Exposure to cloud platforms (Azure AWS GCP) for AI/ML model deployment is a plus.
Soft Skills:
- Strong analytical and problem-solving skills.
- Eagerness to learn and adapt in a fast-paced evolving environment.
- Detail-oriented with a focus on delivering high-quality work.
Employment Type
Full Time
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