Software Engineer (AI/ML)

Job Description

Streetgains Technologies is hiring an experienced Software Engineer (AI/ML) to develop intelligent machine learning solutions for financial technology applications. The ideal candidate should have strong expertise in Machine Learning, Python programming, statistical analysis, and AI model development. You will work closely with data scientists and software engineers to build scalable AI-powered products for stock market research and analytics. Key Responsibilities Design, develop, and deploy Machine Learning models. Build AI-powered applications based on business requirements. Research and implement suitable ML algorithms and frameworks. Analyze, clean, and prepare datasets for model training. Perform statistical analysis and optimize model performance. Train, retrain, and improve machine learning models. Integrate ML models into production applications. Develop scalable software following best coding practices. Extend and maintain existing ML libraries and frameworks. Stay updated with emerging AI and Machine Learning technologies. Required Skills Python Machine Learning Artificial Intelligence Data Science Statistics Data Modelling Scikit-learn Keras or PyTorch Java R Programming SQL Software Architecture Data Structures Git Version Control Eligibility Education: B.E./B.Tech, B.Sc, M.Sc, MCA, M.Tech, or equivalent in Computer Science, Mathematics, Data Science, AI, or related fields. Experience: 4–5 Years English Level: Good (Intermediate/Advanced) Gender: Open to all Preferred Qualifications Strong understanding of probability, statistics, and algorithms. Hands-on experience with AI/ML frameworks. Knowledge of software architecture and scalable application development. Experience in financial analytics or FinTech projects is an advantage. Excellent analytical, problem-solving, and communication skills. Benefits Competitive salary Career growth opportunities Exposure to AI and FinTech projects Learning and development opportunities Collaborative work environment Performance-based incentives