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Job Title: Machine Learning Engineer - Computer Vision & Multi-Sensor Domain
Location: Bengaluru, India
Experience: 2-4 years (relevant, hands-on)
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.
About the Role
We are seeking a highly motivated Machine Learning Engineer – Computer Vision & Multi-Sensor Domain to design, develop, and deploy advanced AI/ML solutions involving camera, LiDAR, radar, and other sensor modalities. The ideal candidate will have strong experience in computer vision, deep learning, sensor fusion, and production-scale ML pipelines.
This role involves working closely with data engineering, annotation, MLOps, and product teams to build robust solutions for data annotation and other allied requirements.
Responsibilities
Required Skills
Why Join Us
I highly recommend exploring our official website to gain deeper insights into our organization, its operations, and the type of work we do.
Job ID: 147485233
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:
object detection , Pytorch, C, Android Ndk, Python, QNN, TFLite, Speech-to-text, Small language models, Model quantization, ONNX
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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