Software Engineer (Data Science Focus) at Aptech Computer Education
Aptech is a global learning solutions company that commenced its education and training business in 1986 and has trained over 7 million students worldwide.
Aptech has presence in more than 40 emerging countries through its two main streams of businesses – Individual training and Enterprise Business. As a leader in career education, it has over 1300 centres of learning across the world.
Under Individual Training, Aptech offers career and professional training through its retail brands: Aptech Computer Education, Arena Animation & Maya Academy of Advanced Cinematics (both in animation & multimedia), Aptech Aviation & Hospitality Academy, Aptech Banking & Finance Academy, Lakmé Academy powered by Aptech, Aptech Hardware & Networking, and Aptech English Learning Academy.
Enterprise business includes Training & Assessment Solutions for Corporate & Institutes (Aptech Training Solutions, and Aptech Assessment & Testing Solutions).Job Description
We are seeking a highly skilled and innovative Software Engineer (Data Science & AI Focus) to join our team. The ideal candidate will design intelligent systems, build data-driven applications, and apply Artificial Intelligence (AI) and Machine Learning (ML) techniques to solve complex business problems.
Key Responsibilities
Design, develop, and maintain scalable software applications with a focus on AI-driven solutions
Build, train, evaluate, and deploy machine learning models
Develop and optimize data pipelines for large-scale data processing
Apply AI techniques such as predictive analytics, natural language processing (NLP), and automation
Analyze large datasets to generate actionable insights and improve decision-making
Collaborate with cross-functional teams (engineering, product, business)
Monitor model performance and continuously improve accuracy and efficiency
Ensure data quality, integrity, and security
Document models, systems, and workflows
Requirements
Interested candidates should possess an OND, HND, or Bachelor's Degree with 2-5 years experience.Strong proficiency in Python (preferred), Java, or JavaScript
Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience with data science tools (Pandas, NumPy, Matplotlib)
Solid understanding of machine learning algorithms and model lifecycle
Familiarity with deep learning, NLP, or computer vision is a plus
Knowledge of SQL/NoSQL databases
Understanding of MLOps, model deployment, and APIs
Proficiency with Git and software development best practices
