6 Ann Jobs

The Smart Cube, a WNS company, is seeking Assistant Managers who will collaborate with the Project Lead to design effective analytical frameworks aligned with client objectives. The Assistant Managers will translate requirements into clear deliverables, manage data preparation, perform quality checks, and ensure analysis readiness. They should possess expertise in implementing analytical techniques and machine learning methods such as regression, decision trees, segmentation, forecasting, and algorithms like Random Forest, SVM, and ANN. Additionally, they are responsible for sanity checks, quality control, and interpreting results in a business context to identify actionable insights. Assistant Managers will independently handle client communications, interact with onsite leads, and manage the entire project lifecycle from initiation to delivery. This includes translating business requirements into technical specifications, overseeing data teams, ensuring data integrity, and facilitating communication between business and technical stakeholders. They will lead process improvements in analytics and act as project leads for cross-functional coordination. In terms of client management, Assistant Managers will serve as client leads, maintain strong relationships, participate in deliverable discussions, and guide project teams on execution strategies. Proficiency in connecting databases with Knime, understanding SQL concepts, and designing Knime ETL workflows to support BI tools is required. They must also be proficient in PowerBI for building dashboards and supporting data-driven decision-making. Knowledge of leading analytics projects using PowerBI, Python, and SQL to generate insights is essential. Ideal candidates should have 4-7 years of experience in advanced analytics across Marketing, CRM, or Pricing in Retail or CPG. Experience in other B2C domains is also acceptable. Proficiency in handling large datasets using Python, R, or SAS, and experience with multiple analytics or machine learning techniques is required. Candidates should have a good understanding of consumer sectors such as Retail, CPG, or Telecom, and experience with various data formats and platforms including flat files, RDBMS, Knime workflows and server, SQL Server, Teradata, Hadoop, and Spark. Strong written and verbal communication skills are essential for creating client-ready deliverables using Excel and PowerPoint. Basic knowledge of statistical and machine learning techniques like regression, clustering, decision trees, forecasting, and other ML models is also necessary. Knowledge of optimization methods, supply chain concepts, VBA, Excel Macros, Tableau, and Qlikview will be an added advantage. Qualifications: - Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities - MBA from top tier B-schools,

About the Role: We are seeking a motivated and highly skilled Data Scientist to join our Flight Safety team. This role is critical in leveraging advanced analytics and machine learning to drive safety-related decisions and improve operational processes. The successful candidate will work extensively with time-series and multivariate data to detect anomalies, uncover patterns, and develop predictive models that enhance flight safety and risk mitigation. You will play a strategic role in applying AI/ML techniques, building custom algorithms, and conducting exploratory data analysis, with a strong focus on aviation safety and operational excellence. Key Responsibilities: Perform exploratory data analysis (EDA) to uncover patterns, trends, and insights from complex datasets. Apply advanced anomaly detection techniques on time-series and multivariate data to identify irregularities and potential safety risks. Develop and implement machine learning and deep learning models (e.g., ANN, RNN, CNN) for predictive safety analytics. Utilize big data analytics tools and AI/ML frameworks to support data-driven decision-making in flight safety. Design and develop custom algorithms to meet domain-specific requirements with high accuracy and reliability. Write efficient, maintainable code using Python and MATLAB for data processing, modeling, and algorithm deployment. Collect, clean, and preprocess data from multiple sources to ensure high-quality inputs for model development. Collaborate with cross-functional teams to translate analytical findings into actionable safety initiatives. Required Qualifications & Experience: Educational Background: Bachelors degree in Engineering with a specialization in Data Science or a related field. Certification in Data Science (such as a completed Data Scientist course or equivalent). Professional Experience: Minimum 6 years of hands-on experience in data science, machine learning, or analytics roles. Proven experience in developing AI/ML models, particularly in anomaly detection and predictive analytics. Key Skills: Data Analysis & Exploratory Data Analysis (EDA) Anomaly Detection (Time-Series & Multivariate Data) Machine Learning & Deep Learning (ANN, RNN, CNN) Big Data Analytics & AI-driven Risk Forecasting Strong Programming Skills: Python and MATLAB Custom Algorithm Design & Development Data Collection, Preprocessing, and Integration Why Join Us? Contribute to cutting-edge data science initiatives in the aviation safety domain. Work in a collaborative and innovation-driven environment. Be part of a mission-critical team focused on predictive safety and operational excellence.

Job Description: AI Developer Fresher Location: Bangalore Company: MagicBox Cybersec Pvt. Ltd. Employment Type: Full-time | Entry-level Position Overview: We're MagicBox Cybersec, and we're building a powerful Cybersecurity in a Box a fully automated, AI- driven platform to detect threats, prevent intrusions, and ensure compliance. We're on the hunt for fresh minds who think logically, solve problems creatively, and love building smart systems that make the digital world safer. Key Responsibilities: • • • • Build and train AI/ML models for threat detection, anomaly detection, and behavioral analysis. Develop intelligent automation pipelines for cybersecurity operations. Work closely with AI & security experts to integrate models into real-time environments. Apply your skills in Python, ML libraries, and Linux to develop scalable solutions. Qualifications: • • Education o B.E./B.Tech/M.Tech in CS, AI, Data Science, or related fields o 01 year experience. Freshers are welcome! Skills o o o o o o o o o o Strong analytical and logical reasoning skills. Passion for AI/ML and interest in Cybersecurity. Familiarity with Python and frameworks like TensorFlow, PyTorch, or Scikit-learn. Comfortable in Linux environments (CLI, scripting). Project experience in AI/ML (college / online / hackathon / personal). Supervised/Unsupervised learning. Classification algorithms. Decision Trees. Random Forest. Deep Learning Algorithms(ANN, RNN, CNN, LSTMP, LLMs). Additional Qualifications: • • • Basic understanding of cybersecurity workflows (IDS, SIEM, etc.) Exposure to NLP or AI-based automation tools Git, Bash, or scripting experience What We Offer: • • • Work on cutting-edge AI Cybersecurity projects from day one. Mentorship and rapid learning opportunities. Flat structure, startup vibe, innovation-friendly culture. Ready to join us? Apply Now! Send your CV and a short note on your AI interests to: careers@magicboxcysec.com

Dear Candidate, We are hiring a Computer Vision Engineer to develop AI-driven solutions for image recognition, object detection, and video analysis. The role requires expertise in deep learning, computer vision algorithms, and real-time processing techniques. Key Responsibilities: Develop and optimize computer vision models using OpenCV, TensorFlow, and PyTorch. Implement object detection, segmentation, and facial recognition algorithms. Process and analyze large-scale image and video datasets. Optimize deep learning models for real-time inference on edge devices. Collaborate with AI and software teams to integrate vision solutions into applications. Required Skills & Qualifications: Computer Vision Frameworks: OpenCV, DLIB, MediaPipe Deep Learning: TensorFlow, PyTorch, Keras Algorithms: CNNs, YOLO, Faster R-CNN, Mask R-CNN Programming: Python, C++, CUDA Edge AI: TensorRT, OpenVINO, NVIDIA Jetson Experience with autonomous systems, OCR, and SLAM is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Hi all, We are hiring for the role Data Scientist AI ML Experience: 6 -9 Years Location: Bangalore Notice Period: Immediate - 15 Days Skills: We are looking for a Data Scientist to lead data-driven solutions across our business, from exploratory analysis, incremental hypothesis validation, model development, deployment and monitoring. Skills Needed: Strong knowledge of Applied AI ML & Deep Learning Data Science techniques, Hardcore in ANN /Deep Learning /Machine Learning/NLP Deep knowledge about machine learning algorithms such as tree-based methods, clustering, regression and classification, dimension reduction techniques, linear regression, Logistic regression, k-means, time series forecasting, Hypothesis testing (ANOVA, t-test, etc.), random forest, SVMs, Naive Bayes, gradient boosting, kNN, Deep learning algorithms like CNN, ANN and Reinforcement learning, Anomaly detection. In-depth understanding of Statistical concepts e.g. Probability distributions, statistical tests, correlation analysis, descriptive statistics, kernels, ROC, F1-Score etc. Advanced coding experience in at least one programming language (Python, Pyspark) & Strong experience in object-oriented concepts. Good to have advanced experience in one or more of the following: Spark, Databricks, Azure technical stack Good to have experience in model deployment to cloud/on-prem. Good Communication & presentation skills. If you are interested drop your resume at mojesh.p@acesoftlabs.com Call: 9701971793

Dear Candidate, We are hiring a Robotics Engineer to develop intelligent robotic systems for automation and industrial applications. The role requires expertise in robotics programming, sensor integration, and AI-driven automation. Key Responsibilities: Design and develop robotic systems using ROS, C++, and Python. Implement AI-based perception and motion planning algorithms. Integrate sensors, actuators, and embedded controllers. Optimize robotic navigation and real-time decision-making. Test and validate robotic applications in real-world environments. Required Skills & Qualifications: Robotics Frameworks: ROS, OpenCV, TensorFlow Programming: C++, Python, MATLAB Hardware Integration: LIDAR, IMU, Cameras, Actuators Control Systems: PID, Kalman Filters, Path Planning Experience with autonomous vehicles or robotic arms is a plus. Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Srinivasa Reddy Kandi Delivery Manager Integra Technologies