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Machine Learning Engineer - Computer Vision and Multi-Sensor Domain
Location: Bengaluru, India
Experience: 3-8 years (relevant)
About iMerit
iMerit is a leading data solutions company empowering the AI/ML ecosystem with high-quality, diverse data solutions. We partner with global technology innovators to unlock the value hidden within unstructured data. With over 5,500 iMeriters worldwide, we've built a reputation for accuracy, efficiency, and positive social impact. Learn more at www.imerit.net.
About the Role
Join us at the forefront of AI innovation! As a Computer Vision Engineer, you'll collaborate with cutting-edge clients in exciting industries, transforming their machine learning visions into reality. We're seeking engineers with 3-8 years of experience, eager to contribute across the entire development cycle, from experimentation to production deployment.
Responsibilities
Required Skills
Preferred Skills
If you're passionate about pushing the boundaries of AI and making a tangible impact, apply now and join the iMerit team!
Job ID: 146102653
Skills:
Pytorch, Python, Computer Vision, DeepSpeed, Variational Inference, Diffusion Models, Distributed Training Frameworks, Generative Modeling, MLflow, CNNs, DDP, Probabilistic ML, DVC, ViTs, FSDP, MLOps Tooling
Skills:
data engineering , Machine Learning, Scala, Sql, Tensorflow, Pytorch, Python, LangChain, Dimensional Data Models, LLaMA, Transformer-based Models, GPT, AI Models, RAG Retrieval-Augmented Generation, Vector Databases, Embeddings, semantic search, BERT, LlamaIndex
Skills:
bedrock , Java, Cassandra, Scala, Kafka, Security Authentication, API design, Tensorflow, Git, Pytorch, Spark, MongoDB, Kubernetes, Python, Data Privacy, AWS, Generative AI, EKS, SageMaker, Authorization methods, Spark ML
Skills:
Unix, Orchestration, Hadoop, Pyspark, Docker, Oozie, Python, Evaluation, Airflow, K8S, Feature Store, ML lifecycle tools, Spark-ml, MLflow, Big Data modeling, ML Models Lifecycle Frameworks, Distributed processing, Dagster, Lake Warehouse architectures, model monitoring
Skills:
Sql, Pytorch, Pandas, Docker, Spark, Kubernetes, Python, Airflow, Scikit-learn, MLflow, Prefect, dbt, Kubeflow, BentoML
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