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Job Title: Machine Learning Engineer (Founding Engineer)
Location: Bangalore, INDIA
Experience Level: Mid to Senior (3–5 years)
About Nexie
At Nexie, we're revolutionizing the marketing landscape with our innovative agentic AI platform. Our technology empowers businesses to transform their marketing operations through intelligent automation — from ideation to execution and optimization — with a special focus on the ecommerce sector.
We believe in building elegant, AI-first solutions that solve complex problems with simplicity and style. Our mission is to create tools that not only work intelligently but delight users through thoughtful design.
Join Our Founding Team
Your Impact & Opportunities
Ideal Background
Bonus Skills
We Value
If you're excited about defining the future of AI-powered marketing technology and want to join a team that values innovation, impact, and growth, we'd love to hear from you!
Job ID: 145136251
Skills:
containerization , Orchestration, Python, Cloud Computing, ML frameworks, data processing frameworks, model serving
Skills:
S3, Machine Learning, Pytorch, Docker, Sqlite, XGBoost, Postgres, Python, AWS, Matplotlib, Sql, Jenkins, Pandas, Information Retrieval, ML Pipelines, HuggingFace, LabelBox, OpenSearch, MosaicML, LightGBM, Amazon EKS, Scikit-learn, DVC, Transformers, NVIDIA NeMo, Jupyter
Skills:
Tensorflow, Nlp, Pytorch, Machine Learning Algorithms, Python, Deep Learning, AI-based Predictive Models
Skills:
Machine Learning, Pyspark, Tensorflow, Pytorch, Terraform, Docker, XGBoost, Flask, Microsoft Azure, Python, AWS, BigQuery, Google Cloud Platform, Apache Spark, Sql, Jenkins, Gcp, Databricks, FastAPI, Rest Apis, Azure Machine Learning, Kubernetes, Airflow, MLflow, GitHub Actions, Kubeflow, Vertex AI, LightGBM, Scikit-learn, SageMaker, CatBoost
Skills:
Apache Hadoop, Machine Learning, Big Data Technologies, Tensorflow, MLops, Pytorch, Gcp, Docker, Spark, Azure, Kubernetes, AWS, LangChain, Hugging Face Transformers, TensorFlow Serving, Flink, gRPC APIs, NVIDIA Triton, TorchServe