Associate Machine Learning Engineer

Job Description

We are looking for a passionate and motivated Associate Machine Learning Engineer to join our growing AI/ML team. The ideal candidate should have a strong foundation in Python programming, machine learning concepts, data analysis, and problem-solving.

You will work alongside experienced engineers and data scientists to develop, train, evaluate, and deploy machine learning models while contributing to real-world AI-driven projects.

Key Responsibilities

• Assist in developing, training, testing, and optimizing machine learning models.
• Collect, clean, preprocess, and analyze structured and unstructured datasets.
• Implement machine learning algorithms for classification, regression, clustering, and prediction tasks.
• Perform exploratory data analysis (EDA) and feature engineering.
• Evaluate model performance using appropriate metrics and validation techniques.
• Collaborate with cross-functional teams to understand business requirements and develop AI/ML solutions.
• Assist in deploying machine learning models and integrating them into applications or APIs.
• Research emerging technologies, tools, and trends in Artificial Intelligence and Machine Learning.
• Maintain technical documentation and contribute to improving existing ML workflows.

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field.
• Strong programming knowledge in Python.
• Understanding of fundamental machine learning algorithms and concepts.
• Basic understanding of statistics, probability, and linear algebra.
• Knowledge of data preprocessing, feature engineering, and model evaluation.
• Familiarity with SQL and database concepts.
• Good analytical, logical reasoning, and problem-solving skills.
• Strong communication skills and willingness to learn new technologies.

Good to Have

• Basic knowledge of Deep Learning and Neural Networks.
• Exposure to TensorFlow or PyTorch.
• Familiarity with NLP, Computer Vision, or Generative AI.
• Understanding of REST APIs and Flask/FastAPI.
• Familiarity with Git, GitHub, and basic cloud platforms.
• Academic projects, internships, or personal projects related to AI/ML.