Machine Learning Engineer | Hybrid, Bangalore, India.


Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. This position requires an innovative and motivated individual who, under general direction but with a high level of autonomy, uses extensive knowledge and skills obtained through education and experience to perform necessary solution architecture and make recommendations to meet the customer’s requirements

How you’ll make an impact

  • Conduct research, study and transform data science prototypes
  • Design and implement scalable and efficient data pipelines to support machine learning workflows or systems
  • Conduct research and implement appropriate machine learning algorithms and tools
  • Develop machine learning applications according to requirements
  • Evaluate and identify appropriate datasets and data representation methods
  • Conduct machine learning tests and experiments
  • Perform statistical analysis and fine-tuning using test results to improve the performance of existing machine learning models and algorithms
  • Train and retrain systems when necessary
  • Continue to evaluate existing machine learning libraries and frameworks to improve the performance
  • Stay apprised of latest machine learning techniques, technologies and developments in the field to apply them to problem solve real world problems
  • What we’re looking for

  • Bachelor’s Degree in Computer Science, Mathematics or similar field; Master’s degree is a plus
  • 3+ years of experience developing and deploying machine learning models as a ML Engineer or similar role
  • Understanding of data structures, data modeling and software architecture
  • Deep knowledge of math, probability, statistics and algorithms
  • Strong programing skills and ability to write robust code in Python, Java and R
  • Familiarity with Machine Learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
  • Excellent verbal and written communication skills
  • Ability to work in a collaborative team environment
  • Outstanding analytical and problem-solving skills
  • Experience working in technology or cybersecurity a plus
  • If you are seeking a culture that supports growth, fosters success, and moves the industry forward, find your place at Optiv! As a market-leading provider of cyber security solutions, Optiv has the most comprehensive ecosystem of security products and partners to deliver unparalleled services. Our rich and successful history with our clients is based on trust, serving more than 12,000 clients of varying sizes and industries, including commercial, government, and education. We have the proven expertise to plan, build, and run successful security programs across Risk Management, Cyber Digital Transformation, Threat Management, Security Operations – Managed Services, and Identity and Data Management.
    With Optiv you can expect
    • A company committed to championing Diversity, Equality, and Inclusion through our Affinity groups including, Black Employee Network, Disabled Employee Network, Latino Employee Network, Optiv Pride (LGBTQIA+), Veterans Support Network, and Women’s Network.
    • Work/life balance.
    • Professional training resources
    • Creative problem-solving and the ability to tackle unique, complex projects
    • Volunteer Opportunities. “Optiv Chips In” encourages employees to volunteer and engage with their teams and communities.
    • The ability and technology necessary to productively work remote/from home (where applicable)
    Optiv is an equal opportunity employer. All qualified applicants for employment will be considered without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, status as an individual with a disability, veteran status, or any other basis protected by federal, state, or local law. Optiv respects your privacy.  By providing your information through this page or applying for a job at Optiv, you acknowledge that Optiv will collect, use, and process your information, which may include personal information and sensitive personal information, in connection with Optiv’s selection and recruitment activities.  For additional details on how Optiv uses and protects your personal information in the application process, click here to view our Applicant Privacy Notice. If you sign up to receive notifications of job postings, you may unsubscribe at any time.
    Job Overview

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