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Ankercloud Technologies
Ankercloud Technologies cover picture
Ankercloud Technologies logo

Ankercloud Technologies

https://www.ankercloud.com
Founded :
2018
Type :
Products & Services
Size :
100-1000
Stage :
Profitable

About

Ankercloud Technologies is the leading service provider in Artificial Intelligence, Cloud, Big Data, Machine Learning and Data Analytics with over 100 employees spread across 5 locations within India & Germany.

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Jobs at Ankercloud Technologies

Ankercloud Technologies
at Ankercloud Technologies
Agency job
via Buzzworks business services by Akshaya B
Bengaluru (Bangalore), Pune
6 - 8 yrs
₹5L - ₹45L / yr
Generative AI
skill iconAmazon Web Services (AWS)
Google Cloud Platform (GCP)
skill iconMachine Learning (ML)
TensorFlow
+7 more

Job Description

Position: Senior Machine Learning Engineer (AWS / GCP)

Work Location: Bengaluru / Pune

Mode: Work from office

Experience : 6-8 years

Responsibilities:

 Experience in Building and Deploying Productionized Gen AI Solutions

 Hands-on experience working with AI Agents

 Analyze and evaluate ML algorithms to solve specific problems, ranking them by

success probability.

 Explore, analyze, and visualize data to gain insights and understand its structure.

 Ensure data quality across various datasets and oversee the data acquisition process

when necessary.

 Define model validation strategies and develop preprocessing or feature engineering

workflows.

 Design and implement data augmentation pipelines.

 Train models, tune hyperparameters, and analyze model errors to devise solutions.

 Establish and manage A/B testing setups.

 Deploy and maintain MLOps pipelines, ensuring their smooth operation.

 Technical Expertise:

 Hands-on experience with machine learning frameworks like TensorFlow, PyTorch,

Keras, and Caffe.

 Proficiency in developing supervised machine learning algorithms and deep learning

models such as CNN, RNN, LSTM, BERT, NLU, and YOLO.

 Familiarity with cloud platforms, specifically AWS and GCP, and tools like SageMaker

and Vertex AI.

 Experience in data wrangling and PySpark, with a working knowledge of EMR and

Glue.

 Strong Python development skills and experience working in Linux environments.

 Experience containerizing applications using Docker.

 Proficiency in SQL and at least one NoSQL data store such as Elasticsearch, MongoDB,

Cassandra, or HBase.

 Experience with branch-based deployments.

Preferred Skills:

 6-8 years’ experience in Machine Learning

 Knowledge of Langchain for building language models and vector databases.

 Familiarity with embeddings and their applications in ML models.

 Understanding of MLFlow and Kubeflow for managing the ML lifecycle.

 Consulting experience

 Experience optimizing performance across multiple GPUs.

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