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Utilize Spark, Databricks, Tensorflow, and Python to handle data extraction, analysis, and model development. Proficiency in Python development, Tensorflow, and Databricks. Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark.
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Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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At least 2 years experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals.
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Experience in object detection and computer vision models such as YOLO, MMDetection, R-CNN, SSD, FPN, and RetinaNet. Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C.
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Power BI, DAX, SAP Business Objects, SAP Dashboards, Plotly Dash, Bokeh, Streamlit, R Markdown, Python (required), Restful APIs, Power Query and Power Automate, Sharepoint Reporting, DataBricks.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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The ideal candidate will have a strong background in various aspects of data science, including machine learning, computer vision and Spark. Leverage computer vision and NLP to enhance our product's ability to interpret and understand visual and textual data.
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Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Sr. Backend Engineer Perks: FULLY REMOTE work from home, salary target $125,000.00 - $150,000.00 along with benefits, including medical/dental/vision, paid time off and more! Software Engineer Python/Django (Remote - $140k.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. Spring boot, Microservices, Docker, Jenkins and REST API's experience. We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
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Spring boot, Microservices, Docker, Jenkins, and REST API experience. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates.
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Basic Qualifications: - Bachelor’s Degree - At least 8 years of software engineering experience, excluding internships - At least 1 year of cloud computing experience (AWS, Microsoft Azure, Google Cloud) - At least 1 year of experience in Big Data, Data Security, Governance, and Controls - At least 1 year of experience with containerization technologies Preferred Qualifications: - Master’s Degree - 9+ years of software engineering experience in technologies like GoLang, Java, Python, Rust, or C.
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If you applied for a job and got emails from our Job Placement Program team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.
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For data Science/Machine learning Positions. If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
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