Artificial Intelligence Engineer

2-5 Years

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Early Applicant

Job Description

Key Responsibilities1. Model Development & Optimization

Build, train, and fine-tune machine learning and deep learning models.
Implement NLP, computer vision, or recommendation systems depending on project needs.
Conduct feature engineering, data preprocessing, and experiment design.
Optimize model performance through hyperparameter tuning and algorithm improvements.

2. Data Engineering & Pipelines

Design and maintain scalable data pipelines for model training and inference.
Work with ETL processes, data warehousing, and big data frameworks (e.g., Spark, Kafka).
Ensure data quality, governance, and security.

3. AI Deployment & MLOps

4. Software Engineering

5. Research & Innovation

Required SkillsTechnical Skills

Proficiency in ML libraries and frameworks (TensorFlow, PyTorch, Scikit-learn).
Strong programming skills in Python (preferred), C++, or Java.
Experience with cloud platforms (AWS Sagemaker, GCP Vertex AI, Azure ML).
Familiarity with vector databases, embeddings, RAG pipelines, or LLM orchestration.
Knowledge of data structures, algorithms, and system design.
Understanding of MLOps tools (Kubeflow, MLFlow, Docker, Kubernetes).

Soft Skills

Education & Experience

Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, or related field.
25 years of experience with machine learning/AI development (for mid-level roles).
Experience working with large datasets and high-scale systems.

Preferred (Good to Have)

Experience with generative AI (GPT, diffusion models, fine-tuning, prompt engineering).
Familiarity with LLM frameworks like LangChain, LlamaIndex, Haystack.
Understanding of model compression, quantization, distillation.
Experience with multi-modal AI or reinforcement learning.