Search Results: 41 vacancies
...on LLMs that cater to multiple tasks such as text generation, Q&A, summarization, translation etc is highly preferred
~ Knowledge on MLOPs and deployment pipelines is a must
~ Expertise on supervised, unsupervised and reinforcement ML algorithms.
~ Strong programming...
Chegg India
Delhi
2 days ago
We are looking for a highly skilled and experienced Cloud Engineer to join our team. The successful candidate will be responsible for designing, deploying, and maintaining our cloud-based infrastructure. You will work closely with our development teams to ensure that our applications...
...MLOps Engineer
Responsibilities
Develop, productionize, 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,...
...industries to overcome digital barriers, put their customers first, and achieve higher revenues as well as operational efficiency.
MLOps Engineer
Experience Range 5- 8 Years
Job location – Noida/ Chennai/ Pune
Experience:
~5+ years of experience in data science...
...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....
...with training, building, and deploying models via Tensorflow/Pytorch (or similar) is mandatory.
~Experience with CI/CD pipelines and MLOps for automating model deployments.
~Skilled in using Linux, SQL, Git, and BASH scripting.
~Strong knowledge of Python and hands-on....
...Location : Noida, Gurugram, Indore, Pune, bangalore, Hyderabad Experience : 3 to 8 Years
MLOPS Engineer with 3 to 8 years of experience
Data processing in Pandas , NumPy and Pyspark & Big Data
AWS Services such as Glue, Serverless computing etc.
Docker, K8 &...
...efficiency.- Collaborate with data scientists and software engineers to optimize model pipelines for production.Machine Learning Operations (MLOps) :- Utilize Airflow to schedule and orchestrate the execution of machine learning pipelines, ensuring timely and efficient processing....
...latest research in Machine Learning Generative AI, NLP, Computer Vision, Audio Processing, Knowledge Graphs, Recommendation Systems and MLOps to drive innovation.- Agile : Ability to work and juggle priorities to thrive in a fast paced and ambiguous environment, while also...
...Linear Models, Optimization, DOE, Dimensionality Reduction
Experience with churn analysis, profiling, recommendation systems
MLOps experience (implementing models/algorithms into production systems)
Ability to work in a fast-paced environment and deliver...
...with the latest technologies, such as high-value complex Application and Product Engineering, Data and Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.
We invest in and create a culture where colleagues feel belonged, can explore their...
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 toolsData science model review, run the code refactoring and optimization, containerization...
...advancing our AI-driven solutions. As an Experienced Senior DevOps Engineer, you will lead the design and implementation of cutting-edge MLOps and DevOps solutions, leveraging your extensive expertise to optimize performance, scalability, and reliability. You'll collaborate...
...Knowledge of document scraping techniques specially with PDFs
Exposure NoSQL databases like MongoDB, DynamoDB, etc
Experience in MLOps/LLMOps building and/or deploying ML/LLM platforms
Want to hear more?
You can apply by sending your LinkedIn or resume through...
...Implement deep learning models for advanced language understanding.5. Collaborate with cross-functional teams for effective integration and MLOps.6. Implement Large Language Models for improved language understanding.7. Stay updated on NLP, Knowledge Graph, LLM, and deep learning...
...are looking for Data Scientist 14 + years experienced with 10 + Years in data science, with expertise in Gen AI/LLM, Machine Learning, MLOps, and ML in cloud platforms such as AWS, Azure, and GCP. The ideal candidate will have a strong background in developing and deploying...
...Ops Engineer
Company: EXL Analytics
Experience is 4-7 years.
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...
...skills in Python.- Experience in classification algorithms, data visualization, anomaly detection - Hands on experience with Tensorflow, Keras, OpenCV, NumPy, SciPy.- Strong Experience with Linux.- Familiar with MLOps, Matplotlib, GCP/AWS.- C++ is a plus. (ref:hirist.tech)
...frameworks.- Experience building/operating systems for data extraction, ingestion and processing of large data sets- Experience with MLOps tools such as MLFlow and Kubeflow- Experience in Python scripting- Experience with CI/CD- Fluency in Python data tools e.g. Pandas, Dask...
...: Principle ML EngineerExperience : 8+ YearsLocation : Pune, Gurgaon, Hyderabad (Hybrid)Must-Have Skills : Data Science, Python, ML, MLOps, DevOps, AWS , Sage maker Job Description :- 9+ years of experience in Data Science, machine learning, DevOps, ML Ops and Analytics.-...
