Machine Learning Engineer

• End-to-End development of DL/ML models – prototyping, formulation, data engineering, model training, etc.
• Implement, debug, and improvise DL/ML models.
• Develop and optimize cloud/Edge deployment of DL models.
• Optimize DL models – quantization, model pruning, etc.
• Other duties as assigned.

• Bachelor's/MS degree in CS, EE, EC, or related fields
• 4+ years of experience in prototyping a given problem, surveying literature & coming up with a suitable methods & training the models using one of the DL/ML frameworks.
• Strong understanding of core ML concepts, and hands on experience with at least 2 DL frameworks like PyTorch/TF
• Strong analytical & problem-solving skills with fundamental knowledge on relevant math, probability, and algorithms
• Experience in computer vision problems such as detection, classification, and segmentation. Additional experience with non-vision problems is a plus.
• Ability to work under minimal supervision and run structured experiments with end goal in mind.
• Ability to work in collaboration with developers on model implementation to ensure adequate system performance (latency and accuracy), security, scalability, and availability.
• Familiarity with AWS Services (EC2, Sagemaker, DynamoDB, ECR, Lambda etc.) is preferred. Experience with MLOps tools such as SageMaker, Airflow, MLFlow, H2O, etc., is a plus.
• Experience with SQL or similar DB query language.
• Experience working with large dataset / long running / distributed training.
• Experience with any low-level programming language like C/C++ or deeper understanding of system architecture.
• Strong teammate who enjoys working in a collaborative, fast-paced team-focused environment

You go all in no matter what you do, and so do we. At Lytx, we’re powered by cutting-edge technology and Happy People. You want your work to make a positive impact in the world, and that’s what we do. Join our diverse team of hungry, humble and capable people united to make a difference.