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Location: Bangalore
Position: Senior ML-Engineer
Experience: 6-9 years
Workplace type: Work From Office
Notice Period- Immediate -30 days
Job Description
5-7 years of experience in machine learning engineering, with a significant track record in the
developing production grade models and model pipelines in a regulated industry such as healthcare.
Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision
models, and classic NLP technologies.
Proficient in programming languages such as Python, with extensive experience in ML
libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.
Strong understanding of deep learning techniques, model fine-tuning, hyper parameter
optimization, and model optimization
Proven experience in deploying and managing ML models in production environments.
Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.
Strong communication skills for articulating complex concepts to diverse audiences.
Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow
Working knowledge of basic software engineering principles and best practices
Demonstrated working knowledge and experience on classic ML techniques and frameworks.
Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker
Job ID: 134065267
Skills:
Tensorflow, Pytorch, Python, SageMaker, Vertex AI, Kubeflow, Scikit-learn, MLflow
Skills:
BigQuery, Machine Learning, Pyspark, Kafka, Sql, Tensorflow, Numpy, Nlp, Hive, Pytorch, Pandas, Spark, Python, Graph-based Analysis, Hugging Face Transformers, Scikit-learn, Statistical Tests, anomaly detection, Network Graph-based Methods, LLM-based Techniques
Skills:
Databricks, C, Java, AWS, Python, Perl, Shell Commands, Gcp, Flask, Microsoft Azure, Spark, MLFlow, Seldon, DataRobot
Skills:
Machine Learning, Deep Learning, Tensorflow, Numpy, Gcp, Pytorch, Pandas, Docker, Flask, Keras, FastAPI, Azure, Python, Kubernetes, AWS, Generative AI, LLM Fine-Tuning, Scikit-learn, Vector Databases, Hugging Face Ecosystem, RAG
Skills:
Algorithms, Software Development, Testing, Software Design, Programming Languages, Debugging, data structures, ML infrastructure, Data Processing, model deployment, reinforcement learning, model evaluation, launching software products, Optimization