Senior AI/ML Engineer
Job Description
Job description
- At Mindera, we are passionate about building software that matters. We are seeking a Senior AI/ML Engineer to join our innovative team. In this role, you will be responsible for driving the design and implementation of advanced AI and Machine Learning solutions, leveraging your expertise to solve complex problems and enhance our product offerings.
- As a Senior AI/ML Engineer, you will work closely with data scientists, product managers, and software engineers to create robust machine learning models and systems. You will be involved in the entire development lifecycle, from data wrangling to model deployment, embodying the principles of MLOps to ensure smooth and scalable implementations.
Key Responsibilities:
- Design and build scalable AI/ML models using frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
- Implement robust data pipelines to support model training and inference.
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About Company
Skills:
Apache Spark, Sql, Tensorflow, Pytorch, Databricks, Python, Machine Learning Algorithms, model versioning, deep learning frameworks, Lakehouse architectures, cloud platforms, MLflow, Monitoring, MLOps practices, Statistical Modeling, drift detection, CI CD for ML, automated retraining
Skills:
bedrock , S3, CDK, Quicksight, Tensorflow, Lambda, Ec2, Pytorch, Docker, Python, Java, Aws Services, Cloudformation, Scala, Emr, Sql, MLops, Kubernetes, Infrastructure as Code, Hugging Face, R, Generative AI, Scikit-learn, SageMaker, Glue, Transformers
Skills:
Machine Learning, Natural Language Processing, MLops, Artificial Intelligence, Deep Learning, cloud, XGBoost, Tensorflow, Pytorch, generative ai, model training, fine tuning, prompt engineering, peft, machine learning evaluation, embedding, ai agents, rag, large language models, vector database, lightgbm, ml systems
Skills:
triton , Tensorflow, MLops, Pytorch, Kubernetes, Python, PEFT, Airflow, fine-tuning, Generative AI, LLMOps, Hugging Face, Ray, vector databases, LLM systems, large-scale retrieval systems, vLLM, Agentic AI, Distillation, TGI, LoRA, RAG architectures, model optimization
Skills:
S3, PostgreSQL, Tensorflow, Lambda, Javascript, Ec2, Pytorch, Docker, XGBoost, Python, Node.js, Redis, Opencv, FastAPI, MongoDB, Kubernetes, scikit-learn, Hugging Face, TensorRT, TorchScript, Pinecone, ONNX, Stable Diffusion, Detectron2, controlnet, YOLO, AWS SageMaker, Diffusers