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  • Job ID:

    Job-1734
  • Job Title:

    Machine Learning AI Engineer
  • Location:

    Remote (USA)
  • Duration:

    1 year +
  • Job Description:

    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
  • Job Type:

    Contract

 

Hear what our consultants have to say about us…

Tanmoy Biswas

Sr .NET Engineer

“I have been working at Buxton Consulting full-time for more than a year. It is a great place to work in, great atmosphere. Senior management is extremely approachable, open and forbearing. Team camaraderie is great.”

Stacey Barnes

IT Director

“We have been a client of Buxton for 10+ years. Buxton has been a great partner working with FormFactor on Data Warehouse, Oracle EBS and Infrastructure projects. Their team is knowledgeable and professional and we trust the products delivered.”