5 Conda Jobs

Brahma is a pioneering enterprise AI company developing Astras, AI-native products built to help enterprises and creators innovate at scale. Brahma enables teams to break creative bottlenecks, accelerate storytelling, and deliver standout content with speed and efficiency. Part of the DNEG Group, Brahma brings together Hollywoods leading creative technologists, innovators in AI and Generative AI, and thought leaders in the ethical creation of AI content. Gen AI Innovation specialists are experts in Audiovisual Generative AI with active engagement in its surrounding communities. They are responsible for identifying and evaluating cutting edge technologies and workflows, across both open and closed-source ecosystems, and independently prototyping POC implementations aligned with the companys needs. This team operates at the intersection of research and product/creative teams. Functioning as an applied extension of the research group, they follow research sprints serving as the first point of contact for implementing and testing in-house developments. While leveraging their domain expertise, and insights from product and creative collaborators, to offer the research department valuable context and well-informed proposals for potential new directions. Key Responsibilities Identify and evaluate cutting-edge GenAI technologies and workflows across open and closed-source. Prototype proof-of-concept implementations aligned with company needs. Act as the first point of contact for implementing and testing in-house research developments. Offer research teams valuable context and informed proposals by leveraging product and creative insights. Build scalable ComfyUI workflows and help maintain a shared, evolving ComfyUI environment. Work as part of a multi disciplinary team to deliver across projects and products. Clearly present research findings to developers and creatives, highlighting strengths, weaknesses, and examples. Must Haves Professional experience testing and training photoreal generative models, ideally with a focus on video applications. Comfortable setting up testing environments for model inference and training. Must be confident with Conda, git, dependency management, and have enough Python/PyTorch knowledge to adapt code to specific requirements. Proven experience at effectively implementing existing tools and techniques into wider custom pipelines and workflows. Comfortable managing large training datasets. Deep understanding of the effects captioning, curating and enhancing them has on the trained model. Comfortable tweaking model tuning hyperparameters, with an understanding of the effects these have on the trained model. Experience collaborating with developers (research teams as a bonus). Very proficient in ComfyUI. Comfortable building scalable workflows, creating custom nodes where needed, and maintaining a shared, evolving ComfyUI environment. Deep engagement and awareness of the Gen AI communities and offerings, across both open and closed-source spaces. Comfortable independently researching specific topics, gathering and clearly presenting findings to both developers and creatives - highlighting key strengths, weaknesses, backed by relevant examples. Comfortable onboarding and training artists from other disciplines to expand the wider Gen AI artist group. Nice to Have Prior role in a research or RnD-focused environment. Professional background either as a creative or a developer in a visual field such as VFX, visual arts, or a visually-driven tech company. Show more Show less

You will be responsible for designing and building backend components of our MLOps platform in Python on AWS. This includes collaborating with geographically distributed cross-functional teams and participating in an on-call rotation with the rest of the team to handle production incidents. To be successful in this role, you should have at least 3+ years of professional backend development experience with Python. Additionally, you should have experience with web development frameworks such as Flask or FastAPI, as well as working with WSGI & ASGI web servers like Gunicorn and Uvicorn. Experience with concurrent programming designs such as AsyncIO, containers (Docker), AWS ECS or AWS EKS, unit and functional testing frameworks, and public cloud platforms like AWS is also required. Nice-to-have skills include experience with Apache Kafka and developing Kafka client applications in Python, MLOps platforms such as AWS Sagemaker, Kubeflow, or MLflow, big data processing frameworks like Apache Spark, DevOps & IaC tools such as Terraform and Jenkins, various Python packaging options like Wheel, PEX, or Conda, and metaprogramming techniques in Python. You should hold a Bachelor's degree in Computer Science, Information Systems, Engineering, Computer Applications, or a related field. In addition to competitive salaries and benefits packages, Nisum India offers its employees continuous learning opportunities, parental medical insurance, various activities for team building, and free meals including snacks, dinner, and subsidized lunch.,

Description Solid understanding and working experience with Azure cloud platform - fundamentals: Azure (e.g., Azure ML, Functions, Blob Storage, ML Studio, AI Foundry, Azure Pipelines, AKS, Functions) Python environment setup, dependency management (Ex. pip, conda ) and API Integrations(API Keys, OAuth) Exposure to NLP, machine learning, or data science projects. Awareness of prompt engineering principles and how LLMs (like GPT, Claude, or LLaMA) are used in real-world applications. Understanding of transformer architecture and how it powers modern NLP. Exposure to AI Code Assist tools Qualifications Solid understanding and working experience with Azure cloud platform - fundamentals: Azure (e.g., Azure ML, Functions, Blob Storage, ML Studio, AI Foundry, Azure Pipelines, AKS, Functions) Python environment setup, dependency management (Ex. pip, conda ) and API Integrations(API Keys, OAuth) Exposure to NLP, machine learning, or data science projects. Awareness of prompt engineering principles and how LLMs (like GPT, Claude, or LLaMA) are used in real-world applications. Understanding of transforme

You will be joining our team as a System Development Engineer focusing on the Hybrid Scientific Computing Stack. A strong background in computer science and software development is required for this role, and knowledge of quantum computing would be an added advantage. Your responsibilities will include working on backend services such as FastAPI, Celery, OAuth, PostgreSQL, and Redis. You will also be involved in hybrid job orchestration using tools like Celery, RabbitMQ, Slurm, and Kubernetes. Containerized workflows using Docker, Singularity, and Helm will be part of your tasks. Monitoring and observability tasks will involve tools like Prometheus, Grafana, Loki, and Flower. Cloud-based deployment on platforms like GCP, AWS, and Azure, as well as secure on-prem server management, will also be within your purview. Additionally, you will work on scientific environments involving CUDA, Qiskit, Conda, GROMACS, and Lmod. To qualify for this position, you should hold a minimum Bachelor's Degree in Computer Science or related fields and have at least 2 years of professional work experience in full-stack systems engineering. Proficiency in Python (FastAPI/Celery), Linux (Ubuntu/Debian), and DevOps is required. Familiarity with cloud-native tools like Docker, Kubernetes, Helm, and GitHub Actions is essential. Experience with Slurm, GPU resource allocation, and secure job execution will be beneficial. Any familiarity with quantum SDKs such as Qiskit, PennyLane, and Cirq will be considered a bonus.,

You will be joining our team as a Systems Development Engineer for the Hybrid Scientific Computing Stack. A strong background in computer science and software development is essential for this role, with knowledge of quantum computing considered a valuable asset. Your responsibilities will include managing backend services such as FastAPI, Celery, OAuth, PostgreSQL, and Redis. You will also be involved in hybrid job orchestration using tools like Celery, RabbitMQ, Slurm, and Kubernetes, as well as working on containerized workflows with Docker, Singularity, Helm, and Kubernetes. Monitoring and observability tasks will involve tools like Prometheus, Grafana, Loki, and Flower. Additionally, you will be responsible for cloud-based deployment on platforms like GCP, AWS, and Azure, as well as secure on-prem server management including GPU/CPU scheduling, RBAC, and SSH-only access. Familiarity with scientific environments such as CUDA, Qiskit, Conda, GROMACS, and Lmod will also be part of your role. To qualify for this position, you should hold a minimum Bachelor's Degree in Computer Science or related fields and have at least 2 years of professional work experience in full-stack systems engineering. Proficiency in Python (FastAPI/Celery), Linux (Ubuntu/Debian), and DevOps is required. You should also be familiar with cloud-native tools like Docker, Kubernetes, Helm, and GitHub Actions. Experience with Slurm, GPU resource allocation, and secure job execution will be beneficial. Any familiarity with quantum SDKs such as Qiskit, PennyLane, and Cirq will be considered a bonus.,