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Position: Machine Learning Engineer
Location: Remote (India).
Type: Full-time (with BayOne).
Work Time: IST (02.00 PM to 10.00 PM IST).
Key Skills & Experience:
Proficiency with ML frameworks (TensorFlow, PyTorch)
NLP and Large Language Models (LLMs) experience
Strong understanding of generative models and applications
Programming skills in Python, Go, or Java
API development and model integration expertise
Familiarity with Docker, Kubernetes Knowledge of CI/CD pipelines, databases(MongoDB), data lakes, or real-time data processing tools
BayOne is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class. This job posting represents the general duties and requirements necessary to perform this position and is not an exhaustive statement of all responsibilities, duties, and skills required. Management reserves the right to revise or alter this job description.
Job ID: 141070219
Skills:
RAG pipelines, Agentic AI, Python 3.x, multi-agent systems orchestration, ML GenAI models, Responsible AI practices
Skills:
Hadoop, Tensorflow, Numpy, Gcp, Pytorch, MLops, Pandas, Docker, Spark, Keras, Rest Apis, Azure, Kubernetes, Python, AWS, Airflow, Scikit-learn, MLflow, Sagemaker, DVC, Vertex AI, Kubeflow
Skills:
Hadoop, Natural Language Processing, Apache Spark, Neural Networks, Clustering, Random Forest, Python Programming, Deep Learning, Jenkins, Decision Trees, Machine Learning Algorithms, Airflow, Data Munging Techniques, ML Flow, reinforcement learning, Support Vector Machines, Boosting Algorithm, Kubeflow, CI CD Pipeline, Large Language Models, Bayesian Networks
Skills:
Ml, Nlp, MLops, Python, Deep Learning, ranking, Forecasting, Classification, LLM-based applications, Model packaging, anomaly detection
Skills:
Java, Machine Learning, Data Modeling, Gcp, Neural Networks, Azure, Pattern Recognition, Python, AWS, R, Statistics
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