Machine Learning engineer 100% Remote but Local to Pleasanton, CA or nearby area is required long term- independent folks required Must Haves- 1. Strong project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must. 1. Strong project experience with Amazon Web Services and Cloudera Data Platform is must. 1. 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive, 1. 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must. 1. Strong experience with REST API development using Python frameworks (Django, Flask etc.). 1. Micro Services/Web service development experience using Spring framework is highly desirable 1. Deliverables or Tasks: Deliverables The tasks for the AI/ML Engineer include, but are not limited to, the following: • Provide technical leadership, develop vision, gather requirements and translate client user requirements into technical architecture. • Design, build and scale Machine Learning systems across multiple domains. • Design and implement NLP algorithms • Design and implement an integrated Big Data platform and analytics solution • Design and implement data collectors to collect and transport data to the Big Data Platform. Technical Knowledge and Skills: Consultant resources shall possess most of the following technical knowledge and experience: • Provide technical leadership, develop vision, gather requirements and translate client user requirements into technical architecture. • 4-5 years of Strong programming experience in Python, Java, Scala, SQL. • Proficient in Machine Learning Algorithms: Supervised Learning (Regression, Classification, SVM, Decision Trees etc.), Unsupervised Learning (Clustering) and Reinforcement Learning • Strong Hands-on Experience in building, deploying and productionizing ML models using MLLib, TensorFlow, PyTorch, Keras, Python Scikit-learn etc. • Hands-on experience building data pipelines using Hadoop components Sqoop, Hive, Spark, Spark SQL, HBase. • Data Processing and Analysis experience with Pandas, NumPy, Matplotlib/Seaborn etc. and using Big Data technologies (Hadoop/Spark) • Must have Natural Language Processing (NLP) and Computer Vision experience. • Ability to evaluate and choose best suited ML algorithms, perform feature engineering and optimize Machine Learning Models is mandatory • Strong fundamentals in algorithms, data structures, statistics, predictive modeling, & distributed systems is must • Strong Experience with Data Science Notebooks like Jupyter, Zeppelin, RStudio. PyCharm etc. • Strong Mathematics and Statistics Background (Linear Algebra, Calculus, Probability and Statistics) • 4+ years of hands-on Development, Deployment and production Support experience in Hadoop environment. • Proficient in Big Data, SQL, relational database and NoSQL database for data retrieval and analysis. • Must have experience with developing Hive QL, UDF’s for analyzing semi structured/structured datasets. • Expertise in Unix/Linux environment in writing scripts and schedule/execute jobs. • Experience with AWS and other cloud platforms. • Experience using Git and Eclipse. • Experience in creating and managing RESTFul API’s using Python and Java frameworks. • Experience in Docker and Kubernetes containerization. • Hands-on experience ingesting and processing various file formats like Avro/Parquet/Sequence Files/Text Files etc. • Successful track record of building automation scripts/code using Java, Bash, Python etc. and experience in production support issue resolution process. Preferred Skills: • Machine Learning, Big Data, NLP, Deep Learning, Python, MLLib, PyTorch, TensorFlow, Numpy/Scipy/Pandas, Spark, Hive, Data Science Notebooks, SQL, API, Unix/Linux, AWS