Byte Prophecy is looking for Data Engineers to build a critical piece of the enterprise data pipeline in our platform MonitorFirst. Candidates should - Have at least 1-2 years of relevant experience in any of the following technologies in our Data Pipeline [#ETL Tools, #Kafka, #Spark, #Cassandra, #Scala or #Python] - Be hands-on and proficient in #Java, #Scala and #SQL - Have strong fundamentals in data structures, algorithms and distributed systems - Experienced in product engineering and production-ready data pipelines is preferred Candidates will - Work in an agile environment as small focused teams - Need to be proactive and goal-oriented - Enjoy working as a team-player About Byte Prophecy We are an enterprise analytics platform company that helps some of the largest companies in India make key business decisions every day. As a unique single platform encompassing collection, transformation, processing, augmented analytics and automated alerts, we've been getting great traction from key stakeholders in the enterprise ecosystem. For our next round of growth, we are looking to hire Data Engineers and Product Analysts for our office in Ahmedabad. Please send your CVs to firstname.lastname@example.org Thanks!
Job Description Responsibilities - Develop Machine Learning Models - Develop CNN models with Tensorflow - Develop UI using latest technologies Desired Skills - We use Python, Go, Tensorflow, Docker, and PostgreSQL, but frequently change technologies and learn new skills very quickly - Experience with SQL databases is a plus - Passionate about clean, well-documented code with unit tests - Knowledge of functional programming is a plus Desired Personal Qualities - Proactive. - Future optimistic. - Positive. - Correct. - Passionate. - Insane. Contrarian. - Honest. Trustworthy.
We are looking for Freelance online Data Scientist Trainers who can work with us part - time with the following skills: Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets. Should have strong programming & Good applied statistics skills, such as distributions, statistical testing, regression, etc. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Few examples are k-NN, Naive Bayes, SVM, Decision Forests,Random Forest ,Support vector machine,Principal component analysis. Experience using natural language processing techniques and Deep Learning using TensorFlow will be a plus. Should have minimum 5 years of relevant work experience.
Looking for techie to join early stage product development team