Job Description

Location

Hybrid

Duration

3 Months (Paid Traineeship) and post trainee role revision

Possibility of Renewal

Based on performance

Dogma Group is looking for a motivated and curious AI Trainee to join our growing innovation and AI practice. This role is ideal for someone passionate about artificial intelligence and eager to gain hands-on experience with real-world projects involving Agentic AI, Computer Vision, NLP, and modern machine learning approaches.

Over 6 months, you will collaborate with cross-functional teams, contribute to exploratory AI initiatives, support model development, and learn from experienced AI engineers and product leaders.

Key Responsibilities

Support the design, development, and evaluation of AI/ML models across various use cases.

Contribute to projects involving agentic AI frameworks, computer vision pipelines, and NLP-based solutions.

Work with datasets

cleaning, preprocessing, feature engineering, and annotation as required.

Assist in running model training, experimentation, optimization, and performance analysis.

Collaborate with senior team members to build prototypes and PoCs for internal and client projects.

Participate in knowledge-sharing, documentation, and team discussions.

Required Skills and Qualifications

Strong understanding of foundational AI/ML concepts, including supervised/unsupervised learning, optimization, evaluation metrics, and model architectures.

Good grasp of statistical concepts relevant to AI/ML such as probability, distributions, hypothesis testing, bias-variance tradeoff, etc.

Basic understanding of core data concepts including data processing, pipelines, feature engineering, and dataset management.

Demonstrated interest in at least one of the following domains

Agentic AI (AI agents, workflow orchestration, multi-agent systems)

Computer Vision (image processing, detection, classification)

Natural Language Processing (NLP) (text classification, embeddings, LLMs)

Hands-on experience completing at least two AI-related projects (personal, academic, or work-based).

Familiarity with Python and common ML libraries (e.g., NumPy, Pandas, scikit-learn, TensorFlow, PyTorch) is a plus.

A strong learning mindset, ability to collaborate in a team, and enthusiasm for exploring new AI technologies.

What we offer

A paid 3‑month traineeship with practical exposure to AI product development.

Opportunity to work on innovative, real-world AI applications.

Mentorship from experienced AI engineers and product leaders.

A collaborative and supportive hybrid work environment.

Possibility of contract extension based on performance.