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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…

Kavnish Gupta

Business Analyst

“I worked for Buxton Consulting as a full time employee for about 5 years between 2013 and 2018.  I worked on various managed projects, inhouse and at client end.  Buxton was very professional in all their dealings with the employee and clients.  The HR team and my Client Relations Manager, always had regular interactions and feedback sessions with me to discuss the project and personal goals. Buxton also handled my Visa and Immigration related work with thorough professionalism and I never had any issues with that. I would definitely recommend Buxton Consulting as an employer and also for short and long term managed projects.”

Sriram Rengasamy

Sr .NET Engineer

I am very fortunate that I got an opportunity with Buxton as my vendor. Their team is very professional, transparent and helpful. Anytime I reached out to them I got an immediate response. Unlike other vendors, Buxton treats consultants very fairly and respectfully so that we love to be associated with Buxton for a long time. Reaching out to consultants on a periodic basis and hearing out our problems/suggestions made us feel good. During my tenure at SCIF, I heard people saying that we should refer our friends to join Buxton as they are the BEST among all the vendors in SCIF and they do not try to exploit consultants, as Buxton is very fair in their compensation for the consultants.