AI / ML Engineer - Required Skills & Qualifications:
Education:
Bachelor s or Master s in Computer Science, Engineering, Data Science, AI/ML, Mathematics, or related field
Technical Skills:
Minimum 4+yrs of experience in AI/ML
Proficient in Python and ML libraries: scikit-learn, XGBoost, pandas, NumPy, matplotlib, seaborn, etc.
Strong understanding of machine learning algorithms and deep learning architectures (CNNs, RNNs, Transformers, etc. )
Hands-on with TensorFlow , PyTorch , or Keras
Experience in data preprocessing , feature selection , EDA , and model interpretability
Comfortable with API development and deploying models using Flask, FastAPI, or similar
Experience with MLOps tools like MLflow , Kubeflow , DVC , Airflow , etc.
Familiarity with cloud platforms like AWS (SageMaker, S3, Lambda), GCP (Vertex AI), or Azure ML
Strong understanding of version control (Git), CI/CD, and containerization (Docker)
Bonus Skills (Good to Have):
NLP frameworks (e. g. , spaCy, NLTK, Hugging Face Transformers)
Computer Vision experience using OpenCV or YOLO/Detectron
Knowledge of Reinforcement Learning or Generative AI (GANs, LLMs)
Experience with vector databases (e. g. , Pinecone, Weaviate) and LangChain for AI agent building
Familiarity with data labeling platforms and annotation workflows
Soft Skills:
Analytical mindset with problem-solving skills
Strong communication and collaboration abilities
Ability to work independently in a fast-paced, agile environment
Passion for AI/ML and eagerness to stay updated with the latest developments
Keyskills: Computer vision GIT Version control GCP Analytical Machine learning Agile Transformers Python