AIML Engineer

Summary: The AI/ML Engineer role focuses on developing, training, and validating machine learning and artificial intelligence models. Responsibilities include data handling, building model pipelines, and integrating AI applications. The position requires experimentation with various algorithms and optimization for performance and scalability. The role is fully remote, allowing for flexibility in work arrangements.

Key Responsibilities:

• Assist in developing, training, and validating ML/AI models.
• Experiment with algorithms for classification, regression, clustering, NLP, or CV.
• Perform hyperparameter tuning and evaluate model performance.
• Collect, clean, preprocess, and transform datasets.
• Work with structured/unstructured data (text, images, logs, etc.).
• Implement feature extraction and engineering.
• Support building model pipelines and MLOps workflows.
• Deploy models via APIs, containers, or cloud environments (Azure, AWS, Google Cloud Platform).
• Optimize models for performance, scalability, and cost.
• Contribute to integrating AI models into applications or backend systems.
• Work with LLMs, embeddings, vector databases, or prompt engineering where applicable.
• Explore new AI techniques, tools, frameworks.
• Build prototypes or proof-of-concept models.
• Document findings, experiments, and model metrics.

Key Skills:

• Experience with machine learning and artificial intelligence.
• Proficiency in data handling and preprocessing.
• Knowledge of algorithms for classification, regression, clustering, NLP, or CV.
• Familiarity with MLOps workflows and model deployment.
• Experience with cloud environments (Azure, AWS, Google Cloud Platform).
• Ability to work with structured and unstructured data.
• Prototyping and proof-of-concept development skills.
• Strong documentation and analytical skills.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT