Machine Learning Engineer

2 weeks ago

Bengaluru, India Varahe Analytics Private Limited Full time

Job Title: Machine Learning Engineer

Location: Bengaluru (For projects across India)


About Varahe Analytics

Varahe Analytics is one of India’s premier integrated political consulting firms specializing in building data-driven 360-degree election campaigns. We help our clients with strategic advice and implementation, combining data-backed insights and in-depth ground intelligence into a holistic electoral campaign.


We are passionate about our democracy and the politics that shape our world. We draw on some of the sharpest minds from distinguished institutions and diverse professional backgrounds to help us achieve our goal of building electoral strategies that spark conversations, effect change, and help shape electoral and legislative ecosystems in our country.


Position Overview:

We are looking for a skilled and enthusiastic Machine Learning (ML) Engineer to join our

team. The ideal candidate will design, develop, and deploy scalable machine learning

models and algorithms while collaborating across teams to integrate AI-driven solutions into

our products or processes. Candidates with experience working on survey data analysis and

related applications will have an added advantage.


Key Responsibilities:

1. Model Development:

  • Design, implement, and optimize machine learning algorithms and predictive models for various business applications.
  • Perform feature engineering, model selection, and hyperparameter tuning.

2. Data Management:

  • Process, clean, and validate large datasets to prepare them for model training.
  • Work with data engineers to ensure a robust data pipeline.

3. Deployment & Monitoring:

  • Deploy ML models in production environments, ensuring scalability and performance.
  • Monitor models in production and implement retraining pipelines for continuous improvement.

4. Collaboration:

  • Work closely with cross-functional teams, including data scientists, software engineers, and product managers, to align ML solutions with business goals.
  • Translate complex data-driven insights into actionable business strategies.

5. Research & Innovation:

  • Stay updated with the latest developments in machine learning and AI technologies.
  • Experiment with new tools, libraries, and frameworks to improve existing processes.


Key Skills & Qualifications:

1. Educational Background:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.

2. Technical Skills:

  • Proficiency in Python and SQL as core technical skills.
  • Experience with ML libraries and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Knowledge of cloud platforms like AWS, Azure, or GCP for ML model deployment .
  • Solid understanding of algorithms, data structures, and statistical modeling techniques .

3. Data Expertise:

  • Familiarity with survey data analysis and the unique challenges associated with it is an added advantage.
  • Knowledge of big data tools such as Spark or Hadoop.
  • Experience with data preprocessing, ETL pipelines, and data visualization tools .

4. Machine Learning Expertise:

  • Hands-on experience in supervised, unsupervised, and reinforcement learning.
  • Familiarity with Natural Language Processing (NLP) and Computer Vision (CV) is a plus.

5. Soft Skills:

  • Strong problem-solving abilities and analytical mindset.
  • Excellent communication and team collaboration skills.


Preferred Experience:

● 2+ years of experience as an ML Engineer or in a similar role.

● Proven track record of deploying ML solutions in production environments.

● Familiarity with survey data-related work is a significant advantage.

● Experience with MLOps and version control systems like Git.


Why Join Us?

● Opportunity to work on cutting-edge AI/ML projects.

● Collaborative and innovative work environment.

● Professional growth through learning and development opportunities.



Apply now to leverage your Python, SQL, and survey data expertise in building impactful machine learning solutions

If interested, drop in an email at ,

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