Job Title

Project Description: New settlements and confirmation system for FX trades.Responsibilities We are seeking an AI-ML Tech Engineer who has a minimum of 8+ years of strong background in machine learning, data science, and software engineering.As a Machine Learning Engineer, you will develop and deploy machine learning models, work with large datasets, and collaborate with cross-functional teams to solve real-world problems.Mandatory Skills: • Proficient in building ML (Machine Learning) & NLP (Natural Language Processing) solutions using common ML libraries and frameworks. • Proficient with Python language and worked on various ML toolkits like TensorFlow, PyTorch, Keras, Scikit Learn. • Theoretical understanding of statistical models such as regression, clustering, and ML algorithms such as decision trees, Random Forests, neural networks, etc. • Strong understanding of cloud computing and cloud AI services. • Experience in deploying AI/ML models in production environments. • Experience in data analytics, feature creation, model selection and ensemble methods, performance metrics and visualization. • Experience working with large datasets and distributed computing systems. • Experience in fine-tuning DL models including LLMs, SLMs. • Knowledge of large language models from OpenAI such as GPT 3.5,GPT 4,C odex etc. • Experience with Vector Stores and RAG pipelines. • Proficient with Data-Modelling Tools. • Proficient with multiple ML deployment strategies including static and dynamic. • Excellent knowledge of CI, CD Pipelines for ML algorithms, training, prediction pipelines. • Experience in translating ML-based outcomes to business-digestible insights. • Excellent communication skills and experience in managing stakeholders at various levels.Nice-to-Have Skills: • Knowledge of ML Ops like continuous integration, continuous deployment. • Knowledge of full stack development. • Knowledge of Databricks, Data Mesh. • Knowledge of ETL (Extract, Transform, Load) pipeline. • Familiarity with agile methodologies, such as Scrum or Kanban, and project management tools such as JIRA/GITLAB. • Experience with frameworks like flask/Django. • Knowledge of Docker containers.