Average salary: Rs1,950,000 /yearly
More stats ...Job Title: Senior MLOps Engineer Location: Bengaluru, Karnataka, India
Experience: 7-10 years
Responsibilities:
MLOps Framework and Infrastructure :
Create scalable MLOps frameworks and infrastructure to support the full machine learning lifecycle, from data...
Job Description
Our Company
Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering...
...and executing POC for automated and efficient model operations at scale.
- Good to have hands-on experience using large foundation models (e.g. LLMs) and associated tool chains (e.g. langchain) and APIs to build applications, tools and workflows for production.
AWS MLOPS
...Role: DevOps Engineer (MLOps) Location: Bengaluru (On-site)
Experience: 3+Years
Job Description
:
We are looking for a talente d DevOps Enginee r with a minimum o f 3 years experien ce, particularly i n MLO ps, to join our talented team. This role...
...Senior Engineer - MLOPs at Fractal
Company Overview:
Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest...
...Sequoia Capital.
The position will be based out of our Bangalore office - Vaishnavi Tech Park, Bellandur, Bangalore
Position: MLOps Engineer
Position Overview:
As the MLOps Engineer, you will be designing, developing and maintaining the infrastructure and...
Rs 8 - 15 lakhs p.a.
...serving hundreds of clients across industries and geographies Over the years.
location : Bangalore
Position: Consultant - MLOps. Engineer
Project works with leading Artificial Intelligence (AI) and Data Engineering
consulting and solutions. Project offers...
Role : ML Ops ArchitectExperience : 10+ years ( Atleast 6+ years as Architect Role)Location : Bangalore / Pune - Hybrid Must to have skills : - Data Drift- Concept drift- RAG- Vector database- Hiber parameter tuning- ML concepts- CI/CD PipelineML Ops Architect JD : As a ML Ops...
Job Description :As an MLOps Engineer, you will be responsible for the design, development, integration and deployment of frameworks, tools and pipelines required for the end-to-end machine learning lifecycle in customer projects. You will apply MLOps technologies to operationalize...
...and analytics.- Monitor the performance and health of the Databricks platform and troubleshoot any issues that arise.- Setup Databricks MLOps- Work with the Unity Catalog to organize, discover, and govern data assets within the Databricks platform.- Define and enforce data...
...You'll Need :- Bachelor's degree in Computer Science or equivalent experience- 2 to 4 years of experience with a Strong background in MLOps, Python, GNU/Linux CLI - Versatile and adaptable engineer who can address evolving needs of team.- Strong understanding of data engineering...
We are Series C funded Startup building Analytical products & solutions. Position : Lead MLOps EngineerWork Location : Bangalore, IndiaExperience : 8 to 12 yrsEducation : Bachelors / Masters / PhD Degree in Computer Science/Machine LearningRequirements :- Atleast 3+ years of...
Role : Machine Learning Ops EngineerExp - 5-7 YrsJob location - Bangalore (Work From Office)Immediate Joiners Preferred- Role: Machine Learning Ops EngineerResponsibilities:- Design, develop, and deploy scalable machine learning systems from end to end, focusing on distributed...
Job Description :- Python, ML concepts and frameworks, Fast API, Graph QL, AWS, ML Flow, AirFlow, ML pipeline creation, drift monitoring.- Strong understating of Python, ML concepts and frameworks, Fast API, Graph QL.- Experience in developing scalable APIs.- Knowledge of AWS...
...scalable models, orchestration, scheduling, automation, ML operations.- Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)- Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc.,...
...team is at the forefront of innovation, leveraging advanced technologies to solve complex problems and drive business impact.Position : MLOps EngineerExperience Level : 5+ YearsLocation : Bangalore (Work from Office)Job Overview :We are seeking a highly skilled MLOps Engineer...
Job Description :- Lead MLOps initiatives, collaborating with key stakeholders to strategize, plan, and deliver projects.- Design, develop, and deploy complex AI/ML solutions on cloud infrastructure, ensuring scalability for changing business and technical needs.- Create infrastructure...
...Overview:
The MLOPS Engineer plays a crucial role in integrating and operationalizing machine learning models within the organizations systems and processes. They are responsible for building and maintaining the infrastructure tools and frameworks required to deploy monitor...
...Role: MLOps Engineer Lead · Total Experience: 12 years
Location-Bengelaru
Role Description
Looking for an experienced and motivated GCP evangelist who will work as Lead MLOps Engineer and will be designing, developing, and maintaining the infrastructure and workflows...
...Pytorch, Scikitlearn and Tensorflow
* Knowledge of Git and Github. Gitops, Bazel and CI/CD deployments with Jenkins
* Understanding of MLOps, Model development lifecycle with knowledge of Training and Deployment pipelines for Machine Learning solutions
* Experience working...
...data architectures
Experience in Microsoft Azure cloud platform
Exposure to CI/CD, Devops ,Docker and Kubernetes
Experience in MLOps for generative AI deployments and monitoring.
Experience in building chatbots, Q & A bots
Experience in using business...
...to address customer problems and customer demand
Making sure that all ML standards are followed and collaborate with Platform for MLOps practice.
Development of proof of concepts to assess impact & feasibility of opportunities and solutions
Cultivation of data-driven...
...Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics...
...containers and K8, Cloud constructs like S3 and large VM clusters to support Demand Planning workloads.
Machine Learning Operations (MLOps)
Understanding of continuous integration pipelines and release lifecycle as it applies to Python libraries.
Understand and...
...· Excellent leadership and communication skills, with the ability to mentor and lead teams. · Experience with the creation of DataOps/MLOps workflow, infrastructure and tooling. · Familiarity with Agile development methodologies and DevOps practices. · Ability to coach/mentor...
...organizations to help build a long-term framework for responsible AI practices, which, in turn, builds trust with their user base. Data Science, MLOps, and business teams use Fiddler AI to monitor, explain, analyze, and improve their AI solutions to identify performance gaps, mitigate...
...Devops - MLOPs(Chatbot / iCPaaS)
Location: Open
About the role:
We are seeking a highly skilled MLOPs to take on a crucial role in our innovative AI-as-a-Service (AIaaS) product team. Our AIaaS platform is designed to empower our suite of products with cutting-edge...
· Strong understanding of AI/ML concepts and techniques. · Good experience with MLOps principles and practices in implementing and managing ML Ops
· Experience with data pipelines and data pre-processing techniques.
· Proficiency in programming languages such as Python,...
...product team to propose an optimal solution for a given problem statement
Working closely with DevOps team on performance monitoring and MLOps
Required Skills:
5+ Years of Data related technology experience
Good understanding of distributed computing principles...
...develop, and maintain a robust and scalable AI architecture on leading cloud platforms such as AWS or GCP. Utilize your expertise in MLops and AIOps to ensure seamless deployment, monitoring, and maintenance of AI models in production environments.
&##129504; Harness the...