ML Engineer-US

ML Engineer

Location: Santa Clara (Remote)

Duration: 6-12+ Months

Job Description:

• Minimum five years of relevant hands-on experience applying machine learning techniques to build models.

• Minimum one project end-to-end experience on either Natural Language Processing (NLP using transformers) or Computer Vision (deep learning using tensorflow or pytorch)

• Understand algorithms (be able to tweak them when needed) as well as GPU/ TPU infrastructure.

• Must have experience working with Snowflake, mongo sql with and without python• Must have Topic modelling experience.

• Must have experience in creating, running, recording experiments using ML Algorithms (Ensembles, Logistic regression, Kmeans, Knn, SVM,etc)

• Must have experience with working with neural network(Seq2Seq) modeling coupled with (BERT/ELMO)

• Must Provide model explainable and create pipeline for reproducibility and mobility

• Must remain motivated and updated in the rapidly changing field of machine learning

• Must have experience working and incorporating transfer learning models for data preprocessing and fine tuning on the same.

• Good To have experience in developing REST API

• Good To have GCP cloud experience and experience in Knowledge graph is a plus

• Extend ML libraries and frameworks to apply in NLP tasks

• Good to have CI/CD tools- Jenkins, git, etc

Aware of Standard Secure Coding Practices Libraries (NLTK,GENSIMS,BERTopic,SCIKIT-LEARN,KERAS,SPACY,LANGDETECT,TENSORFLOW)If this describes you, we should talk.

Relevant Experience:

5 to 12+ years

Responsibilities:

Experiment, develop and productionize high quality machine learning models, services and platforms to make huge technology and business impact.

Design and implement highly scalable and reliable GCP CI/CD MLOps pipelines.

Lead a team of engineers to build products and deliver solutions, depending on previous architecture and technical leadership experience.

Collaborate with different stakeholders to deliver software solutions.