Roles & Responsibilities: Design, develop, and maintain scalable, high-performance web applications. Work across the full stack front-end (React/Angular/Vue) and back-end (Node.js, Python, Java, or .NET). Implement RESTful APIs and integrate third-party services. Manage databases (SQL/NoSQL) and ensure data integrity and security. Optimize application performance and troubleshoot complex issues. Lead architecture design, participate in code reviews, and enforce coding best practices. Collaborate with UI/UX designers, product managers, and QA teams to deliver end-to-end solutions. Mentor junior developers and provide technical guidance to the team. Deploy, monitor, and maintain applications on cloud platforms (AWS, Azure, GCP). Stay updated with emerging technologies to drive continuous improvement. Requirements: Bachelors/Master’s in Computer Science, Engineering, or equivalent. 7+ years of experience in full-stack development. Strong knowledge of front-end frameworks (React, Angular, or Vue). Expertise in server-side technologies (Node.js, Python, Java, or .NET). Hands-on experience with databases (MySQL, PostgreSQL, MongoDB, etc.). Familiarity with CI/CD, containerization (Docker, Kubernetes), and microservices. Excellent problem-solving, leadership, and communication skills. Role & responsibilities
Roles & Responsibilities: Collect, preprocess, and analyze large structured and unstructured datasets. Develop, train, and optimize machine learning and deep learning models. Build predictive models for classification, regression, recommendation, and NLP/vision tasks. Design and implement scalable ML pipelines and deploy them into production environments. Conduct feature engineering, model selection, hyperparameter tuning, and validation. Monitor model performance, detect drift, and improve accuracy over time. Collaborate with product, engineering, and business teams to translate business problems into data-driven solutions. Document methodologies, maintain reproducibility, and ensure ethical AI practices. Work with big data tools (Spark, Hadoop) and cloud ML services (AWS Sagemaker, GCP AI, Azure ML). Stay updated with advancements in AI/ML and contribute to innovation initiatives. Requirements: Bachelors/Master’s/PhD in Computer Science, Data Science, Statistics, or related field. 5+ years of proven experience in Data Science & Machine Learning. Strong coding skills in Python (pandas, numpy, scikit-learn, TensorFlow, PyTorch). Solid understanding of statistical modeling, probability, and linear algebra. Hands-on with data visualization tools (Tableau, Power BI, matplotlib, seaborn). Experience in deploying ML models in production (Docker, Kubernetes, APIs). Knowledge of MLOps best practices and cloud AI platforms. Strong analytical mindset, critical thinking, and communication skills.
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