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Must Haves-
 

1. Strong project experience in Machine Learning, Big Data, NLP, Deep Learning, RDBMS is must.
2. Strong project experience with Amazon Web Services and Cloudera Data Platform is must.
3. 4-5 experience building data pipelines using Python, MLLib, PyTorch, TensorFlow,  Numpy/Scipy/Pandas, Spark, Hive,
4. 4-5 years of programming experience in AWS, Linux and Data Science notebooks is must.
5. Strong experience with REST API development using Python frameworks (Django, Flask etc.).
6. Micro Services/Web service development experience using Spring framework is highly desirable

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