5+ Machine Learning (ML) Jobs in Indore | Machine Learning (ML) Job openings in Indore
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We are looking for
A Natural Language Processing (NLP) expert with strong computer science fundamentals and experience in working with deep learning frameworks. You will be working at the cutting edge of NLP and Machine Learning.
Roles and Responsibilities
Work as part of a distributed team to research, build and deploy Machine Learning models for NLP.
Mentor and coach other team members
Evaluate the performance of NLP models and ideate on how they can be improved
Support internal and external NLP-facing APIs
Keep up to date on current research around NLP, Machine Learning and Deep Learning
Mandatory Requirements
Any graduation with at least 2 years of demonstrated experience as a Data Scientist.
Behavioral Skills
Strong analytical and problem-solving capabilities.
Proven ability to multi-task and deliver results within tight time frames
Must have strong verbal and written communication skills
Strong listening skills and eagerness to learn
Strong attention to detail and the ability to work efficiently in a team as well as individually
Hands-on experience with
NLP
Deep Learning
Machine Learning
Python
Bert
- Passionate about search & AI technologies. Open to collaborating with colleagues & external contributors.
- Good understanding of the mainstream deep learning models from multiple domains: computer vision, NLP, reinforcement learning, model optimization, etc.
- Hands-on experience on deep learning frameworks, e.g. Tensorflow, Pytorch, MXNet, BERT. Able to implement the latest DL model using existing API, open-source libraries in a short time.
- Hands-on experience with the Cloud-Native techniques. Good understanding of web services and modern software technologies.
- Maintained/contributed machine learning projects, familiar with the agile software development process, CICD workflow, ticket management, code-review, version control, etc.
- Skilled in the following programming languages: Python 3.
- Good English skills especially for writing and reading documentation
- Does analytics to extract insights from raw historical data of the organization.
- Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
- Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
- Tests the short/long term impact of productized MV models on those trends.
- Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory.
Hammoq Inc is a rapidly growing startup in the reselling sector. Our app provides product listings, cross-platform data analytics, and Cross-platform delisting as our core services.
Launched Web app in 2020 and iOS app at the start of 2021, we are continuing our exponential growth, and we were hoping you could play a core role in our mission.
Hammoq is looking for a Senior ML/Machine Vision Architect / Researcher, an expert in Deep Learning, to join our passionate developers' team to create our unique SaaS web app.
The ideal candidate will be responsible for developing new Machine Learning / Machine vision models according to the business needs.
*What you'll do
- You’ll lead the ML R&D process at Hammoq.
- You will build ML architectures to optimise the process.
- You'll collaborate with our hardworking, nimble, and supportive team through daily standups, company presentations, product demos, slack discussions
- You'll work on solving machine vision / Machine Learning problems and implementations.
- You'll use ML libraries of IOS and Android to build and run models on the mobile devices
Skills and expertise that will help you succeed
- Must have experience working with OpenCV, TensorFlow, and Keras environment
- Must have the ability to develop your own models.
- Working experience of training and deploying computer vision models
- Experience in Computer Vision and Machine Learning (including Deep Learning) algorithms.
- Experience in image analytics - including feature extraction, object detection, classification, and tracking
- Experience in image manipulation
- PhD in Computer Vision , Machine Learning, Machine Vision or any related field is a must.
- Strong programming skills in Python, including NumPy, Scikit Learn, Pandas, and Matplotlib
- Self-governing analytical problem-solving skills for efficient and uninterrupted development of solutions
- Strong communications skills for an adequate description of technical concepts to others
Nice to have
- Experience in building APIs implementing ML models
- Knowledge or basic understanding of any Cloud ML technologies or Cloud ML service providers.
- Experience in the e-commerce industry
DevOps Engineer Skills Building a scalable and highly available infrastructure for data science Knows data science project workflows Hands-on with deployment patterns for online/offline predictions (server/serverless)
Experience with either terraform or Kubernetes
Experience of ML deployment frameworks like Kubeflow, MLflow, SageMaker Working knowledge of Jenkins or similar tool Responsibilities Owns all the ML cloud infrastructure (AWS) Help builds out an entirely CI/CD ecosystem with auto-scaling Work with a testing engineer to design testing methodologies for ML APIs Ability to research & implement new technologies Help with cost optimizations of infrastructure.
Knowledge sharing Nice to Have Develop APIs for machine learning Can write Python servers for ML systems with API frameworks Understanding of task queue frameworks like Celery