We are looking for a skilled and driven Machine Learning Engineer with 3+ years of experience to join our core AI development team. The role involves building and optimising machine learning models, developing data pipelines, and contributing to AI-powered features used in financial crime detection, document intelligence, and compliance analytics. This is a high-impact role for someone passionate about applying machine learning in real-world applications and eager to grow in a fast-paced environment. Responsibilities Build, test, and deploy machine learning models for various data-driven use cases Develop scalable data preprocessing and feature engineering pipelines Collaborate with product and engineering teams to integrate AI functionalities into production systems Analyze model performance, run experiments, and fine-tune algorithms for accuracy and speed Contribute to maintaining version-controlled ML workflows and reusable modules Assist in preparing training datasets from structured and unstructured sources Support model monitoring, feedback loop integration, and continuous improvements Technical Skills Required Strong foundation in Python and applied machine learning Experience with one or more ML frameworks such as scikit-learn, TensorFlow, or PyTorch Understanding of supervised, unsupervised, and basic NLP techniques Familiarity with building data pipelines and working with large datasets (Pandas, NumPy, SQL) Exposure to model deployment concepts, APIs, and inference Basic knowledge of Git, Docker, and cloud environments (AWS/GCP/Azure) Preferred (Nice to Have) Experience with document data (PDFs, scanned files) or OCR tools Exposure to transformer-based models or LLMs Familiarity with ML lifecycle tools (MLflow, DVC, Weights & Biases) Prior experience in fintech, risk analysis, or fraud detection systems Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field 3+ years of hands-on experience in ML/AI development roles Compensation & Growth Competitive compensation aligned with industry benchmarks ESOPs and performance bonuses for high performers Exposure to real-world AI use cases with domain experts in fintech, compliance, and GenAI Opportunity to grow into senior research or MLOps roles based on performance and interest