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Open nowPosted 5 days ago

Senior Machine Learning Engineer

Quantiphi77 open roles

Where
IN KA Bengaluru
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Your applicationOpen nowSenior Machine Learning EngineerQuantiphi · IN KA Bengaluru

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Quantiphi's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Quantiphi postings stay open a median of 56 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 5 days ago

Quantiphi median: 56 days open

The posting

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Job Description

Role: Senior Machine Learning Engineer

Experience Level: 4 to 6 Years

Work location: Mumbai, Bangalore & Trivandrum

Notice Period: 0-15 days(Looking for Immediate Joiners)

Roles and Responsibilities:

• Hands-on with Python and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.

• Computer Vision: Image preprocessing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.

• Knowledge of statistical modelling and popular machine learning models.

• Feature engineering, Feature selection/Feature importance, Dimensionality

Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking

• Should possess knowledge of multiple cloud platforms (AWS,GCP,Azure) and machine learning services offered by them.

• Critical eye for the quality of data and strong desire to get it right.

• A pleasantly forceful personality and charismatic communication style.

Skills- Required:

• Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework, model performance monitoring, CI/CD.

• Ability to multitask and work on multiple engagements related to different domains.

• Be able to pick up newer technologies in a short span of time

• Work in a highly collaborative environment by interacting with the stakeholders and various IT teams within the company to facilitate design and development of ML/AI solutions.

• Be responsible for the successful delivery of all allocated projects with respect to schedule, quality and customer satisfaction.

• Follow Agile standards and methodologies in all phases of the project.

• Ensure excellence in delivery to customers

• Self-driven individuals with a passion for research and development and the zest for solving what matters.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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