Senior ML Engineer

Apply Now Refer Candidate

Experience:  6 to 9 years

Salary:  upto 30 LPA

Location: Bangalore

Key Responsibilities:

  • Studying, transforming, and converting data science prototypes
  • Deploying models to production
  • Training and retraining models as needed
  • Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their respective scores
  • Analyzing the errors of the model and designing strategies to overcome them
  • Identifying differences in data distribution that could affect model performance in real-world situations
  • Performing statistical analysis and using results to improve models
  • Supervising the data acquisition process if more data is needed
  • Defining data augmentation pipelines
  • Defining the pre-processing or feature engineering to be done on a given dataset
  • To extend and enrich existing ML frameworks and libraries
  • Understanding where the findings can be applied to business decisions
  • Documenting machine learning processes


Role Proficiencies:

  • 6+ years of IT experience in which at least 4+ years of relevant experience primarily in converting data science prototypes and deploying models to production
  • Knowledge of Big Data frameworks like Hadoop, Spark, Pig, Hive, Flume, etc
  • Proficiency with Python and machine learning libraries such as scikit-learn, matplotlib, seaborn and pandas
  • Experience in working with ML frameworks like TensorFlow, Keras, OpenCV
  • Strong written and verbal communications
  • Excellent interpersonal and collaboration skills.
  • Expertise in visualizing and manipulating big datasets
  • Advanced Math and Statistics skills (linear algebra, calculus, Bayesian statistics, mean, median, variance, etc.)
  • Advanced degree in Computer Science/Math/Statistics or a related discipline.
  • Robust data modelling and data architecture skills.
  • Experience:

    6 - 9 Years

  • Salary:

    25 LPA - 30 LPA

  • Location:


  • Address:


  • Primary Skills:

    GCP, Python, Flask, Machine Learning, Deep Learning, Jupyter Notebook, Kube Flow & Kubernetes

  • Industry:

    Information Technology

  • Job Type:

    Full time

  • Degree:

    Btech, MTech, B.Sc., MSc, BCA, MCA

Insights and Advice

The Importance of Women's Networks and Communities for Professional Development and Support

In today's competitive business environment, professional networking has become a crucial a ...

Read More

How Remote Work is Leading the Way to an Inclusive Workplace

In recent years, remote work has become increasingly popular among companies of all sizes. Whil ...

Read More

Effective ways for women to break stereotypes in the workplace

Gender stereotypes are preconceived ideas about the attributes, roles, and characteristics that ...

Read More

Reasons why women choose to go back to work after maternity leave

As we approach a post-pandemic world, it's important to recognize that women continue to en ...

Read More

Looking for job opportunities? Look no further, join QWEEN and start applying for jobs. It's 100% FREE!