3.0 - 7.0 years

0 Lacs

karnataka

On-site

As an Automation Engineer specializing in AI/ML model deployment, your primary responsibility will be to automate the deployment of AI/ML models and set up monitoring for the ML pipeline. This involves automating CI/CD pipelines to accommodate data, code, and model changes efficiently. You should have a strong programming background with a good understanding of machine learning algorithms, frameworks, and domain-specific knowledge. Your role will also entail querying and working with databases, testing ML models, and utilizing Git for version control. Familiarity with frameworks like Flask, FastAPI, Docker, Kubernetes, and experiment tracking tools such as MLflow are essential for this position. Additionally, you will be responsible for setting up and automating data pipelines using tools like Airflow, Kafka, and Rabbitmq. You will be expected to provide best practices and conduct proof of concepts (POCs) to streamline and automate model operations at scale. While not mandatory, it would be advantageous to have hands-on experience with large foundation models (e.g., LLMs) and associated toolchains (e.g., langchain) and APIs for developing applications, tools, and workflows for production environments. Overall, your role as an Automation Engineer will involve leveraging your technical expertise to automate AI/ML model deployment processes, optimize model operations, and ensure efficient monitoring of the ML pipeline.,

Posted 4 days ago

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Engineer - MLOps Fractal Analytics

3.0 - 7.0 years

0 Lacs

karnataka

On-site

It is exciting to work in a company where individuals truly BELIEVE in the mission and vision of the organization. The commitment to bringing passion and customer focus to the business is evident in every aspect of our work culture. The job is based in multiple locations including Bangalore, Mumbai, Pune, Gurgaon, Chennai, Hyderabad, Coimbatore, and Noida. As a Machine Learning Operations (MLOps) Engineer, you will play a crucial role in addressing the challenge faced by large companies in transitioning to an AI-driven organization by building the machine learning production system. This opportunity is perfect for an experienced server-side developer looking to expand their expertise in this cutting-edge field. Working alongside a team dedicated to deploying state-of-the-art AI solutions for Fractal clients, you will be at the forefront of innovation. Your responsibilities will include collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. You will be instrumental in automating and streamlining model development and operations, as well as building and maintaining tools for deployment, monitoring, and operations. Troubleshooting and resolving issues in development, testing, and production environments will also be a key part of your role. Your tasks will involve enabling model tracking, experimentation, and automation, developing scalable ML pipelines, and creating MLOps components in the machine learning development life cycle using tools such as MLFlow, Kubeflow Model Registry, Kubeflow, DataRobot, HopsWorks, Dataiku, or any relevant ML end-to-end PaaS/SaaS services. You will work across all phases of the model development life cycle to build MLOps components and contribute to the knowledge base required for delivering complex MLOps projects on Cloud (AWS, Azure, GCP) or On-Premises environments. Additionally, you will actively participate in client business development and delivery engagements across various domains. The ideal candidate will have 3-5 years of experience in building production-quality software and a strong background in system integration, application development, or data warehouse projects using enterprise technologies. Basic knowledge of MLOps, machine learning, and Docker is required, along with proficiency in object-oriented languages such as Python, PySpark, Java, C#, or C++. Experience in developing CI/CD components for production-ready ML pipelines, database programming using SQL, and knowledge of Git for source code management are essential. The ability to collaborate effectively in a fast-paced environment, solve complex challenges, and deliver innovative solutions is crucial. Strong team handling, problem-solving, project management, and communication skills, along with a hunger for continuous learning, are highly valued. Candidates should hold a B.E/B.Tech/M.Tech in Computer Science or a related technical degree or equivalent qualification. If you are someone who thrives in a dynamic environment, loves learning, and enjoys working with motivated individuals, this opportunity is perfect for you! If this role does not align with your current aspirations, please express your interest in future opportunities by clicking "Introduce Yourself" or setting up email alerts for relevant job postings.,

Posted 1 week ago

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