10 Bentoml Jobs

As a Data Scientist, you will play a crucial role in utilizing your expertise in various tools and techniques to derive insights from data. Your primary responsibilities will include: - Utilizing Classification techniques such as Decision Trees and SVM, Distance metrics like Hamming, Euclidean, and Manhattan Distance, as well as Forecasting methods like Exponential Smoothing, ARIMA, and ARIMAX. - Implementing ML Frameworks including TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, and MXNet for model development. - Conducting Statistical analysis and computing using tools like Python, PySpark, R, R Studio, SAS, and SPSS. - Applying Regression models like Linear and Logistic Regression, and c...

As an experienced Full Stack Developer, you will be responsible for owning the full stack of the company's products. This includes architecting, implementing, and maintaining backend services in Python/Django and modern frontend SPAs in React. You will also lead and mentor the engineering team by establishing best practices, conducting code reviews, and coaching junior developers or contractors as the team grows. Key Responsibilities: - Architect, implement, and maintain backend services in Python/Django and modern frontend SPAs in React - Lead and mentor the engineering team by establishing best practices and conducting code reviews - Prototype and productionize RAG pipelines using Haystack...

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Role Overview We're building a next-gen LLMOps team at Fractal to industrialize GenAI implementation and shape the future of GenAI engineering. This is a hands-on technical leadership role for AI engineers with strong ML and DevOps skills ideal for those who love building scalable systems from the ground up. You will be designing, deploying, and scaling GenAI and Agentic AI applications with robust lifecycle automation and observability. Required Qualifications 10 - 14 years of experience in working on ML projects that includes product build...

As a Senior Data Scientist at the company, you will be responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. Your role will involve hands-on experience with LangGraph and leading initiatives to build multi-agent AI systems with greater autonomy and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning, and real-world AI applications. **Key Responsibilities:** - Architecting & Scaling Agentic AI Solutions - Design and develop multi-agent AI systems using LangGraph for workflow automation and problem-solving. - Build memory-augment...

As a Machine Learning Engineer, you will be responsible for designing and implementing scalable machine learning models throughout the entire lifecycle - from data preprocessing to deployment. Your role will involve leading feature engineering and model optimization efforts to enhance performance and accuracy. Additionally, you will build and manage end-to-end ML pipelines using MLOps practices, ensuring seamless deployment, monitoring, and maintenance of models in production environments. - Lead feature engineering and model optimization efforts - Build and manage end-to-end ML pipelines using MLOps practices - Collaborate with data scientists and product teams to understand business requir...

Location: Mumbai, India Experience Level: 9 Plus Years Minimum Qualification: Masters Degree in Computer Science, Engineering, or related field. About the Role: Were looking for a strategic Senior MLOps Engineer to lead the end-to-end design, implementation, and scaling of our AI infrastructure. Youll partner with researchers, product teams, and DevOps to turn prototypes into production services that meet strict SLAs for latency, reliability, and cost efficiency. Responsibilities: Core MLOps Pipelines: Design and implement scalable ML pipelines (training, evaluation, deployment) for LLMs, CV, and multimodal models . Model Serving & CI/CD: Lead efforts in model serving, versioning, automated ...

As a Senior Machine Learning Engineer with over 10 years of experience, you will play a crucial role in designing, building, and deploying scalable machine learning systems in production. In this role, you will collaborate closely with data scientists to operationalize models, take ownership of ML pipelines from end to end, and enhance the reliability, automation, and performance of our ML infrastructure. Your primary responsibilities will include designing and constructing robust ML pipelines and services for training, validation, and model deployment. You will work in collaboration with various stakeholders such as data scientists, solution architects, and DevOps engineers to ensure alignm...

About the Role We are looking for an experienced DevOps Engineer to join our engineering team. This role involves setting up, managing, and scaling development, staging, and production environments both on AWS cloud and on-premise (open source stack) . You will be responsible for CI/CD pipelines, infrastructure automation, monitoring, container orchestration, and model deployment workflows for our enterprise applications and AI platform. Key Responsibilities Infrastructure Setup & Management Design and implement cloud-native architectures on AWS and be able to manage on-premise open source environments when required . Automate infrastructure provisioning using tools like Terraform or CloudFo...

The Senior Data Science Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing th...

As a Machine Learning Engineer, you will be responsible for designing and implementing scalable machine learning models throughout the entire lifecycle - from data preprocessing to deployment. Your role will involve leading feature engineering and model optimization efforts to enhance performance and accuracy. Additionally, you will build and manage end-to-end ML pipelines using MLOps practices, ensuring seamless deployment, monitoring, and maintenance of models in production environments. Collaboration with data scientists and product teams will be key in understanding business requirements and translating them into effective ML solutions. You will conduct advanced data analysis, create vis...