Location : Bangalore, Mumbai, Delhi Employment Type : Full-Time Job Summary: We are looking for a motivated and detail-oriented Associate AI Engineer to join our team in building intelligent systems for real-world applications. This role is ideal for individuals with a strong foundation in machine learning , neural networks , and Python programming . You will work on various stages of the AI development lifecycle, from data preparation and model development to deployment and optimization. This is an excellent opportunity to grow in the field of AI while working alongside experienced engineers on high-impact projects. Key Responsibilities: Assist in the design and implementation of machine learning models for real-time or batch processing tasks Contribute to data preprocessing, feature engineering, and model evaluation Train, fine-tune, and validate neural networks and other learning algorithms Collaborate with the team to deploy and monitor AI models on various platforms, including edge and cloud environments. Write efficient and maintainable code in Python for model development and integration Participate in code reviews, experiment tracking, and documentation Stay up to date with advancements in the AI/ML field and evaluate their relevance to ongoing projects Required Skills and Qualifications: Bachelor s degree in Computer Science, Data Science, Artificial Intelligence, or a related discipline Strong understanding of machine learning fundamentals such as supervised/unsupervised learning, bias-variance tradeoff, overfitting, and evaluation metrics Working knowledge of neural networks , including key concepts like layers, activations, loss functions, and optimization. Strong proficiency in Python , including experience with key data and ML libraries (e.g., NumPy, Pandas, scikit-learn, etc.) Familiarity with training workflows, including data splitting, hyperparameter tuning, and validation Experience working with data and building models through academic projects, internships, or personal initiatives Basic understanding of deploying models in production environments or on resource- constrained devices Nice to Have: Exposure to different model types (e.g., classification, detection, segmentation, regression) Awareness of model optimization techniques and performance bottlenecks Understanding software development best practices (version control, testing, debugging) Familiarity with real-time and streaming data applications Familiarity with deep learning frameworks (e.g., PyTorch or TensorFlow)
Location: Mumbai Salary: Competitive (based on experience) About the Role: We are looking for a skilled and motivated professional with strong technical expertise in CCTV installation and networking to join our team in Mumbai. The role involves on-site CCTV installation, configuration, troubleshooting, and networking support. The ideal candidate should be willing to travel across India for project requirements and have excellent communication skills to coordinate effectively with clients and teams. Key Responsibilities: Install, configure, and maintain CCTV systems at client sites. Conduct on-site visits for CCTV installation, testing, and troubleshooting. Handle networking setup and connectivity for CCTV and related devices. Provide client support, ensuring timely and efficient issue resolution. Maintain basic documentation and reporting using Microsoft Office. Coordinate with clients and internal teams in Hindi/English. Be open to traveling to sites across India as per project requirements. Eligibility & Requirements: Strong knowledge of CCTV hardware and installation practices. Good understanding of networking concepts (LAN, IP configuration, routers/switches). Basic to medium knowledge of Microsoft Office tools. Minimum 2 3 years of experience in CCTV installation. Good verbal and written communication in Hindi & English . Flexibility to travel to sites across India when required. What We Offer: Competitive salary based on skills and experience. Opportunity to work on diverse projects across India. Supportive work environment with growth opportunities.