Job Summary: Looking for Female Tele caller's for immediate hiring Responsibilities: Making calls to potential customers Explaining company services and products Maintaining daily call records Submitting daily progress reports Qualifications: 12th grade or higher education Fluent communication skills in the local language Basic computer skills Important Condition: The selected female telecaller candidate is required to commit to a minimum of 10 months of service. To ensure this commitment, the candidate must provide a guarantee by submitting their original 10th and 12th-grade marksheets, which will be held for the duration of the 10-month work obligation.
We are seeking an Embedded IoT Developer with hands-on experience in Raspberry Pi and Arduino programming, Embedded C, and Python. The ideal candidate should have strong knowledge of electronics circuits, sensor/actuator interfacing, and communication protocols (I2C, SPI, UART, MQTT). Responsibilities include developing and testing embedded firmware, integrating IoT devices with cloud platforms, creating technical documentation, and troubleshooting hardware/software issues. Knowledge of Linux systems, IoT security, and PCB basics will be an added advantage.
We are looking for a talented Full Stack Developer with expertise in Python, Java, React, and Node.js to design, develop, and maintain scalable web applications. The role involves building robust back-end services, integrating APIs, developing responsive front-end interfaces, and ensuring seamless communication between the client and server. Candidates should have experience with relational and NoSQL databases, RESTful and GraphQL APIs, and deployment on cloud platforms. Strong problem-solving skills, code optimization, and a passion for modern web technologies are essential for this position.
We are seeking a highly skilled AI Python Developer with strong expertise in Machine Learning, Deep Learning, Data Analytics, and Data Science to design, develop, and deploy intelligent solutions. The role involves building and training predictive models, leveraging large-scale datasets, integrating AI-powered services with applications, and optimizing algorithms for performance and scalability. Candidates should have hands-on experience with Python-based ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn, etc.), statistical modeling, and data visualization techniques. The ideal candidate must also be proficient in working with structured and unstructured data, developing and consuming Open APIs, and deploying AI solutions on cloud platforms. Strong problem-solving abilities, mathematical/statistical foundations, and a passion for innovation in AI-driven technologies are essential. Key Responsibilities: Design, implement, and optimize machine learning and deep learning models for real-world applications. Perform data collection, preprocessing, cleaning, and feature engineering on large datasets. Build and integrate AI-driven APIs and services for scalable applications. Develop data pipelines and ensure seamless flow between data sources, models, and applications. Conduct data analytics, visualization, and reporting to derive actionable insights. Deploy AI/ML models on cloud environments (AWS, GCP, Azure) ensuring performance and scalability. Stay up to date with emerging AI/ML research, tools, and best practices to enhance solutions. Required Skills & Qualifications: Strong proficiency in Python and ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn, Keras). Experience with data analytics, visualization libraries (Pandas, NumPy, Matplotlib, Seaborn, Plotly). Solid understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and NLP techniques. Hands-on experience with SQL & NoSQL databases and data pipelines. Knowledge of RESTful & Open APIs integration. Familiarity with cloud-based AI deployments (AWS Sagemaker, GCP AI Platform, Azure ML). Strong mathematical/statistical background with focus on probability, optimization, and linear algebra. Excellent problem-solving, communication, and collaborative skills. Preferred Qualifications: Experience with MLOps tools (Docker, Kubernetes, MLflow, Airflow). Knowledge of Big Data technologies (Spark, Hadoop) is a plus. Prior experience in research or publication in AI/ML/DS fields. Required skills Front-end languages: HTML, CSS, and JavaScript. Front-end frameworks: Experience with frameworks like React, Angular, or Vue.js is often required. Back-end languages: Proficiency in languages such as Java, Python, Ruby, or PHP. Databases: Experience with both SQL (like MySQL, PostgreSQL, Oracle) and NoSQL databases. APIs: Experience in designing, developing, and integrating APIs. Version control: Familiarity with version control systems like Git is essential. Problem-solving: Strong analytical and problem-solving skills. Communication: Good verbal communication skills are often necessary.