About the Role: We are seeking an experienced MLOps Engineer with a strong background in NVIDIA GPU-based containerization and scalable ML infrastructure ( Contractual - Assignment Basis) . You will work closely with data scientists, ML engineers, and DevOps teams to build, deploy, and maintain robust, high-performance machine learning pipelines using NVIDIA NGC containers, Docker, Kubernetes , and modern MLOps practices. Key Responsibilities: Design, develop, and maintain end-to-end MLOps pipelines for training, validation, deployment, and monitoring of ML models. Implement GPU-accelerated workflows using NVIDIA NGC containers, CUDA, and RAPIDS . Containerize ML workloads using Docker and deploy on Kubernetes (preferably with GPU support like NVIDIA device plugin for K8s) . Integrate model versioning, reproducibility, CI/CD, and automated model retraining using tools like MLflow, DVC, Kubeflow, or similar . Optimize model deployment for inference on NVIDIA hardware using TensorRT, Triton Inference Server , or ONNX Runtime-GPU . Manage cloud/on-prem GPU infrastructure and monitor resource utilization and model performance in production. Collaborate with data scientists to transition models from research to production-ready pipelines. Required Skills: Proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong experience with Docker , Kubernetes , and NVIDIA GPU containerization (NGC, nvidia-docker) . Familiarity with NVIDIA Triton Inference Server , TensorRT , and CUDA . Experience with CI/CD for ML (GitHub Actions, GitLab CI, Jenkins, etc.). Deep understanding of ML lifecycle management , monitoring, and retraining. Experience working with cloud platforms (AWS/GCP/Azure) or on-prem GPU clusters. Preferred Qualifications: Experience with Kubeflow , Seldon Core , or similar orchestration tools. Exposure to Airflow , MLflow , Weights & Biases , or DVC . Knowledge of NVIDIA RAPIDS and distributed GPU workloads. MLOps certifications or NVIDIA Deep Learning Institute training (preferred but not mandatory). Show more Show less

About Us: We are a Deep Tech AI company at the forefront of innovation, recognized by DPIIT, ISI-Calcutta, and NASSCOM . Our mission is to build cutting-edge solutions powered by Large Language Models (LLMs), Computer Vision, and Machine Learning . With flagship products in Legal AI, Biometric Fraud Prevention, and Geospatial Intelligence, we're scaling rapidly and looking for a visionary CTO to lead our technology roadmap. Role Overview: As the CTO, you will be the driving force behind our technology strategy, product architecture, and engineering execution. You will lead a highly capable team of AI researchers, engineers, and product developers to deliver scalable, secure, and breakthrough deep tech solutions. Key Responsibilities: Technology Strategy & Vision: Define and evolve the company’s technical vision in alignment with business goals. Evaluate and adopt emerging AI/ML trends (especially in LLMs and Computer Vision). Product & Engineering Leadership: Architect and oversee the development of scalable AI systems. Lead the design, development, and deployment of core products in LLMs and Computer Vision. Ensure best practices in AI model development, software engineering, DevOps, and MLOps. Team Building & Management: Mentor and manage engineering, ML, and research teams. Recruit top technical talent and foster a culture of innovation, ownership, and performance. Collaboration & Execution: Work closely with the CEO, product heads, and business leads to translate ideas into reality. Oversee technical partnerships, vendor relationships, and IP development. Required Qualifications: 5–10 years of hands-on experience in AI/ML with a strong foundation in LLMs, NLP, Deep Learning , or Computer Vision . Proven experience building and scaling production-grade AI systems . Strong software architecture, cloud deployment (AWS/GCP/Azure), and data infrastructure skills. Prior experience in a leadership/management role in a startup or product-driven AI company. Expertise with frameworks like TensorFlow, PyTorch, Hugging Face , OpenCV, etc. Strong understanding of data privacy, model explainability, and ethical AI . Preferred Attributes: PhD or Master’s in Computer Science, AI, or a related field. Experience with MLOps tools like MLFlow, Kubeflow, or similar. Published research or open-source contributions in AI/ML/LLM domains. Track record of building and managing tech teams in fast-paced environments. What We Offer: A seat at the leadership table in a fast-growing, impact-driven deep tech company. Generous equity stake and competitive salary. Freedom to experiment, build, and innovate at scale. A high-caliber, mission-driven team working on real-world challenges.

About Us Kyrotics Technologies is a Deep Tech Company located in Saltlake, Sector V, Kolkata and recognised by Indian Statistical Institute (ISI-Calcutta) & DPIIT (Govt. of India). We are specialised in Artificial Intelligence (AI) such as Large Language Models (LLM), Computer Vision and Machine Learning. ​ Our mission is to contribute to a future where technology seamlessly integrates with human experiences, making them more efficient and user-friendly. Job Description We are looking for Content Marketing Intern to join our dynamic team and contribute to building our brand presence. This role will offer hands-on experience in creating, managing, and optimizing content strategies for a tech-driven audience. Key Responsibilities Develop engaging content for blogs, case studies, white papers, social media, and website. Collaborate with the marketing and tech teams to create content that simplifies and highlights Kyrotics’ AI-powered solutions. Manage content distribution across platforms, including LinkedIn, Twitter, and industry forums. Analyze content performance and provide actionable insights to improve engagement metrics. Stay updated with industry trends and competitors' strategies to create innovative marketing campaigns. Requirements Currently pursuing MBA (Marketing/Technology) or B.Tech (Computer Science/IT/related fields) . Strong written and verbal communication skills with a knack for storytelling. Passion for AI, technology, and digital marketing. Ability to work collaboratively in a team and manage time effectively to meet deadlines. Must know canvas, video editing and story telling Benefits What You’ll Gain Hands-on experience with content strategies in the AI and tech domain. Exposure to real-world applications of AI and innovative technologies. Opportunity to work closely with an experienced team in a fast-paced startup environment. Potential career growth opportunities within Kyrotics.