We are seeking a talented Research Engineer to join our AI team and drive cutting-edge research in artificial intelligence and machine learning. This role combines deep technical research with practical implementation, requiring both theoretical knowledge and hands-on engineering skills to develop novel AI systems and advance the state of the art. Key Responsibilities Research & Development Conduct original research in AI/ML domains such as deep learning, natural language processing, computer vision, reinforcement learning. Design and implement novel algorithms, architectures, and methodologies Stay current with latest research developments and identify promising directions for investigation Technical Implementation Algorithm Implementation: Translate algorithms and models into production-ready software solutions, ensuring scalability and efficiency. Data Preparation and Analysis: Collaborate with data scientists to preprocess and analyze large datasets, ensuring data quality and relevance for training AI models. System Integration: Integrate AI solutions with existing systems and applications, ensuring seamless functionality and performance. Performance Optimization: Monitor and optimize AI models for performance, accuracy, and scalability, making adjustments as needed. Required Qualifications: Education & Experience - 3+ years of research experience in AI/ML, either in academia or industry Technical Skills: Expert-level programming skills in Python, with experience in PyTorch, TensorFlow, or JAX Deep understanding of machine learning fundamentals, statistics, and optimization Experience with distributed computing, cloud platforms (AWS, GCP, Azure) Proficiency in mathematical modeling and algorithm design Experience with version control, CI/CD, and software engineering best practices Research Capabilities Proven ability to formulate research questions and design appropriate methodologies Strong analytical and problem-solving skills Experience with experimental design, statistical analysis, and result interpretation Ability to translate research ideas into practical implementations Preferred Qualifications Experience in specific AI domains relevant to our focus areas Track record of successful research-to-product transitions Experience with MLOps, model deployment, and production ML systems Knowledge of hardware acceleration (GPUs, TPUs) and model optimization Experience with large-scale data processing and analysis Strong written and verbal communication skills [Immediate Joiners Preferred] Reach Out to us at: richa.j@vmstechs.com

The Technical Support Executive is responsible for providing exceptional technical assistance to customers via phone, email, and/or chat. This role involves troubleshooting hardware and software issues, diagnosing problems, and providing clear and concise solutions. The ideal candidate possesses strong technical aptitude, excellent communication skills, and a customer-centric approach. Responsibilities (Vary by Experience Level - See Notes Below): Customer Interaction: Respond to customer inquiries via phone, email, and/or chat in a professional and timely manner. Actively listen to customer concerns and demonstrate empathy. Clearly explain technical concepts and solutions to non-technical users. Escalate complex issues to higher-level support teams as necessary. Technical Troubleshooting: Diagnose and resolve hardware and software issues. Reproduce customer issues and identify root causes. Utilize diagnostic tools to identify and resolve technical problems. Document troubleshooting steps and solutions in the knowledge base. System Administration (Mid-Level/Senior): Perform basic system maintenance tasks (e.g., user account management, software updates). Monitor system performance and identify potential issues. Contribute to the development and maintenance of technical documentation. Knowledge Base & Training: Contribute to the creation and maintenance of knowledge base articles and FAQs. Participate in training sessions to enhance technical skills and product knowledge. May be responsible for training junior team members (Senior). Process Improvement: Identify opportunities to improve support processes and enhance customer satisfaction. Contribute to the development of standard operating procedures (SOPs). Adherence to SLAs: Meet or exceed Service Level Agreements (SLAs) for response and resolution times. Track and report on key performance indicators (KPIs). Qualifications: Education: Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience). Experience (Vary by Level): Junior: 0-2 years of experience in a technical support role. Mid-Level: 2-5 years of experience in a technical support role. Senior: 5+ years of experience in a technical support role, with demonstrated leadership skills. Technical Skills: Proficiency in Windows and/or macOS operating systems. Experience with common software applications (e.g., Microsoft Office Suite, Google Workspace). Familiarity with networking concepts (e.g., TCP/IP, DNS). Understanding of hardware components and troubleshooting techniques. (Specific software/hardware knowledge relevant to the company - Specify here) Soft Skills: Excellent communication (written and verbal) and interpersonal skills. Strong problem-solving and analytical abilities. Ability to work independently and as part of a team. Ability to remain calm and professional under pressure. Customer-focused attitude and a passion for providing exceptional service. Working Conditions: Typically works in an office environment. May be required to work occasional evenings or weekends to provide support Department: Customer Support / IT Reports To: Technical Support Manager / Team Lead