

Ankercloud Technologies
https://www.ankercloud.comAbout
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.
Jobs at Ankercloud Technologies


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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