Average salary: Rs1,483,333 /yearly
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...MLOps Engineer
Responsibilities
Develop, production, and deploy scalable, resilient software solutions to integrate and operationalize AI & ML capabilities.
Adhere to software architecture and software design best practices to write scalable, maintainable, well...
...performance. On top of that, the solution needs to be continuously monitored, reliable, and easy to upgrade.
Responsibilities:
As MLOps your responsibilities include but are not limited to:
Deploying and operationalizing MLOps, in particular, implementing:...
Key responsibilities :- Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)- Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools- Data science model review, run the code refactoring and optimization...
...Job Description
Senior Associate, MLOps Engineering – Pune, India
Would you like work on a massively global scale with a FinTech company that is poised to revolutionize the industry? Are you interested in joining a globally diverse organization where our unique contributions...
...you get excited about effectiveness and efficiency?
Job Summary:
Job Description:
We are seeking a talented and experienced MLOps Engineer to join our team. The ideal candidate will be responsible for the end-to-end design and implementation of ML Ops pipelines and...
...optimization.- Work closely with ML scientists, software engineers, data engineers, and other stakeholders to implement best practices for MLOps, including CI/CD pipelines, version control, model versioning, and automated deployment.3. Innovation and Continuous Improvement :-...
...Position : MlOps Engineer
Here’s what you should know about Convin, before you apply :
Founded by IIT Delhi Alumni, Convin is a conversation intelligence platform that helps organisations improve sales/collections and elevate customer experience while automating the...
Job Description :We are seeking anexperienced ML Engineer (MLOps) with a strong background in machine learning, deep learning, and artificial intelligence. The ideal candidate will have a proven track record of developing and deploying machine learning models in real-world...
...MLOPS JD
Experience is 4-7 years
Location: gurgaon/pune/hyd/blr
Key Skills - Fine tune the LLM models, Python, Experience on MLOPS/LLMOPS (docker /container ). Have deploy the model in Production (GCP). Basic understanding of ML/Deep learning.NLP
Responsibilities...
...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
...equivalent experience) is required.
Proficiency in Python, a core programming language for machine learning.
Extensive experience as an MLOps Engineer or similar role.
Proven track record of optimizing video-focused machine learning pipelines and infrastructure....
...Feature Set, Best Value for the Price and Best Relationship.
Job Description
Responsibilities:
Designing and developing scalable MLOps frameworks like Kubeflow, Ray and other supported frameworks to support models based solution as per client requirements.
Managing...
Please find below JD:
Design the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale
Take offline models data scientists build and turn them into a real machine learning production system
Develop and deploy...
...Principal Data Engineer (MLOPS)
Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities...
...Delhi / Chennai / Bangalore / Noida / Kolkata / CoimbatoreNotice Period : Immediate to 60 Days onlyExperience : 6+ YrsPrimary Skills : MLOps and Data BricksJob Summary :Were looking for a ML/MLOps Engineering Specialist who is experienced in designing and implementing ML...
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...
...integration, both batch and real-time- Working with Different Pieces of Data Engineering (Ingestion, Processing, and Serving).- Working on MLOps (building self-serve systems around several model lifecycles) and working on the entire pipeline (from PoC to productionization) of...
...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 : 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 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...
