Deep Learning Engineer
- Anlage Infotech
- 4 - 9 years
- Kolkata
- 3 years ago
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Job Description
Desired Candidate Profile
Exp- 4-9 yrs
Location : Hyderabad / Bangalore / Mumbai / Chennai / Gurgaon / Pune / Kolkata
Required:
- Experience in building and delivering multiple projects in AI/ML, i.e., training, and retraining
models, multiple frameworks (TensorFlow, Keras, Pytorch) and deep learning-based
approaches (NLP, Computer Vision)
- Experience on AWS Sagemaker, Azure or GCP and experience running AI/ML models on GPUs
- Experiment, prototype and finalize specific solution with the best business metrics
- Knowledge of network, distributed, asynchronous, and concurrent programming
- Knowledge of professional software engineering best practices for the full software
development life cycle
- Strong verbal and written communication skills; Strong analytical skills, with excellent
problem-solving abilities
- Broad and solid understanding of common statistical and machine learning techniques, both
classical machine learning and deep learning
- Strong knowledge in algorithms such as neural network architectures (LSTM, CNN,
transformers etc.), time series analysis, anomaly detection, Bayesian optimization, contextual
bandits/reinforcement learning, semi-supervised machine learning, constraint optimization,
and data visualization
- Working knowledge on cloud service infrastructure and system design
If interested kindly apply with your updated CV on as****c@an***e.co.in
Job Classification
Industry: Software ProductFunctional Area: Engineering - Software & QA,
Role Category: Software Development
Role: Software Development
Employement Type: Full time
Education
Under Graduation: B.Tech/B.E. in Any SpecializationPost Graduation: M.Tech in Any Specialization, MCA in Computers, Any Postgraduate, MS/M.Sc(Science) in Any Specialization, MBA/PGDM in Any Specialization
Doctorate: MPHIL in Any Specialization, Ph.D/Doctorate in Any Specialization, Any Doctorate
Contact Details:
Company: Anlage InfotechLocation(s): Kolkata
Keyskills: Artificial Intelligence machine learning deep learning Natural Language Processing ai designing cloud tensorflow lstm nlp GCP infrastructure computer vision design pytorch keras AWS azure ml architecture
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