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AI & ML Engineer

2.00 to 5.00 Years   Chennai   11 Oct, 2022
InTechHub Solutions
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Job description
    • Able to handle End-to-End Machine Learning workflow which includes activities like Data Collection, Feature Engineering and Data transformation, Model training, and deploying models in production
    • Hands-on experience in Deep Learning models for computer vision problems with Expert level knowledge with Deep Learning frameworks TensorFlow, Keras, Fastai, and PyTorch and Computer Vision libraries like OpenCV, OpenVino, SciPy, NumPy, TensorRT, CUDA
    • Hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics, and image analytics
    • Engaging key stakeholders to source, mine, validate data and findings and confirm business logic and assumptions to conclude.
    • Transferring requirements to optimization and learning problems
    • Leads efforts to foster innovative ideas for developing high-impact solutions.
    • Evaluates and leads a broad range of forward-looking analytics initiatives, tracks emerging data science trends, and knowledge sharing
    • Able to understand various data structures and common methods in data transformation
    • Helps design and develop advanced analytic solutions across functional areas per requirement/opportunities.
    • Communicate complex quantitative analysis in a lucid, precise, clear, actionable insight.
    • Developing new practices and methodologies using statistical methods, machine learning, and predictive models.
    • Carrying out statistical and mathematical modeling, solving complex business problems, and delivering innovative solutions using state-of-the-art tools and cutting-edge technologies for big data & beyond.
    • Research and evaluate new open-source technologies and frameworks to solve problems & improve existing solutions
    • Articulate and present the business value of your product design to different stakeholders and user
    Required Candidate profile
    • Demonstrated strong capability in statistical/Mathematical modeling Machine Learning or Artificial Intelligence
    • Experienced in AI use cases deployment
    • Mathematical derivation and optimization of algorithms
    • Excellent pattern recognition and predictive modeling skills
    • Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods;
    • Strong experience in Deep Learning models for computer vision problems with Expert level knowledge with Deep Learning frameworks TensorFlow, Keras, Fastai, and PyTorch
    • Strong knowledge of Computer Vision libraries like OpenCV, OpenVino, SciPy, NumPy, TensorRT, CUDA
    • Successful history of manipulating, processing, and extracting value from large, disconnected datasets and Data Ingestion, processing of structured and unstructured data in big data ecosystem - Hadoop, Spark, and Spark Streaming
    • Experience in designing and developing ML algorithms (Kernel Method, Ensemble Method, Semi-Supervised, Reinforcement Learning)
    • Experience in Data Visualization Tools (e.g., Qlik, Tableau, SAP BusinessObjects, and Power BI) would be added advantage
    • Experience with one or more of the following areas: Server Backend Distributed and Parallel Systems, Full Stack Development (front end and backend), Scalable Enterprise Platforms and Applications, Application Security and Incident Management, Machine Learning, Information Retrieval or Natural language processing.
    Perks and BenefitsPermanent Work From Home Opportunity

Keyskills :
deep learningtext miningcomputer visionmachine learningartificial intelligencepattern recognitionnatural language processingpytorch

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