AI Developer

AI Developer - PradeepIT Consulting Services Pvt Ltd | Career Page

AI Developer

Pune, Maharashtra, India

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Job Openings AI Developer

About the job AI Developer

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.

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