Job highlights

- Hands on experience in supervised machine techniques and algorithms,such as GLM,k-NN,Naive Bayes,SVM,Random Forests,Neural Networks etc

- Experience in CUDA programming,knowledge of hardware requirements for GPU acceleration (NVIDIA GPUs)

Responsibilities:

- Provide solution architecture and implement MVP/POC for machine learning (speech recognition/ natural language processing/ computer vision etc.) projects.

- Devise/enhance machine learning / deep learning algorithms and techniques for solving complex project requirements.

- Development of end-to-end machine learning pipeline including data extraction, automated labelling, training of deep learning model and deployment.

- Manage client and team communication, collaboration and facilitation including meetings, documentation and other processes.

- Lead and manage team members.

- Must have hands-on experience in one or more of the followings:

- Hands-on experience in speech technologies like Automated Speech Recognition and Text to Speech.

- Exposure to any one or more of speech technology tools like HTK, Kaldi, Festival, CMUSphinx, Mozilla DeepSpeech etc.

- Expertise in Multilingual Speech Recognition systems, Speech Analytics and Voice Processing.

Good to have hands-on experience in one or more of the followings:

- Experience in Speech Recognition, Computer Vision, Image Processing, Natural Language Processing, Text Mining,



Computational Genomics, Bioinformatics, other Machine Intelligence/Artificial Intelligence related areas.

- Expertise in machine learning frameworks like Tensorflow, PyTorch, Keras, Caffe, MXNet, Theano etc. and ability to work with frameworks like Tesseract, OpenCV, NLTK, Spacy, Scikit-Learn, Numpy, Pandas etc.

- Hands on experience in supervised machine techniques and algorithms, such as GLM, k-NN, Naive Bayes, SVM, Random Forests, Neural Networks etc.

- Hands-on experience in unsupervised machine learning techniques and algorithms, such as clustering algorithms, dimensionality reduction techniques.

- Ability to work effectively in a Linux environment, on cloud-based virtual machines and containers.

- Knowledge of DevOps practices/tools and Skills with architecting large- scale high performant distributed systems.

- Experience in CUDA programming, knowledge of hardware requirements for GPU acceleration (NVIDIA GPUs).

- Strong mathematical and statistical understanding.

Desired Candidate Profile:

- Excellent verbal as well as written communication.

- Ability to lead a team and manage projects independently.

- Eye for detail, passion for accuracy.

- Great analytical and problem-solving skill.

- Ability to adapt and thrive in a fast paced and demanding setting of a young start-up.

📌 Senior ML Engineer (Pune)
🏢 Rudder Analytics
📍 Pune