Consultant – ML Engineer

Company:
Location: Bengaluru, Karnataka

*** Mention DataYoshi when applying ***

    With a startup spirit and 90,000+ curious and courageous minds,
    we have the expertise to go deep with the world's biggest brands—and we have
    fun doing it. Now, we're calling all you rule-breakers and risk-takers who see
    the world differently, and are bold enough to reinvent it. Come, transform with
    us.
    Transformation happens here! Come, be a part of our exciting
    journey!
    Are you the one we are looking for?
    Inviting applications for the role of Consultant - ML Engineer

    Responsibilities %26amp; Proficiencies
  • Think strategically about data as
    a core enterprise asset and assist in all phases of the advanced analytic
    development process
  • Advanced analytical and data
    mining efforts which could include but not limited to clustering,
    segmentation, logistic and multivariate regression, decision/CART trees,
    neural networks, time-series analysis, sentiment analysis, topic modeling,
    random forests, and Bayesian analysis
  • The scope of work includes
    Forecast, Prediction Models, Outlier Reporting, Payment Integrity
    violation identification, Adhoc analysis
  • Implementation of Supervised and
    Unsupervised model development techniques
  • Develops ML / NLP models using
    identified features and packages
  • Responsible for maintenance and
    performance monitoring of the production environment for the Advanced
    Analytics team
  • Own the design of complex and
    large-scale datasets to be used for statistical modeling and data mining.
  • Slice and dice through the
    database and come up with measurable analytical insights
  • Solid interpersonal skills with
    exposure to direct client communication is preferred

  • Proficiencies
  • Python, SciPy, NumPy, SQL, NLP
  • Experience with relational
    database management systems.
  • Works with key partners to
    generate and test hypotheses
  • You should be able to handle
    automated deployments using tools like containers (Docker) or serverless
    APIs (ex. Lambda functions, etc).
  • Facility with one or more data
    analytical methods such as regression, decision trees, experimental
    designs, support vector machines, machine learning and text mining
  • Work in a dynamic and fast-paced
    environment without compromising the quality
  • Conduct explanatory data analysis
    and prepare data sources to be analyzed.

  • Qualifications
    we seek in you!
    Minimum Qualifications
  • Bachelors or master's degree with
    specialization in statistics, computer science or Information
    systems/science. Familiarity with Finance domain
  • Bachelor%27s Degree required.
    Preferably in Computer Science, Information Systems, or related field.

  • Preferred qualifications
  • Strong leader with a desire to
    educate and develop good energetic talent within the team
  • Solid process skills with an
    understanding of change control processes and managing critical production
    environments
  • Strong interpersonal, analytical
    thinking, presentation and communication skills essential
  • Ability to work in a distributed
    team environment

  • Genpact is an Equal Opportunity Employer and considers
    applicants for all positions without regard to race, color, religion or belief,
    sex, age, national origin, citizenship status, marital status, military/veteran
    status, genetic information, sexual orientation, gender identity, physical or
    mental disability or any other characteristic protected by applicable
    laws. Genpact is committed to creating a dynamic work environment that
    values diversity and inclusion, respect and integrity, customer focus, and
    innovation. For more information, visit www.genpact.com. Follow us on Twitter,
    Facebook, LinkedIn, and YouTube.

0.00-50.00 Years

*** Mention DataYoshi when applying ***

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