LeadSquared Off Campus Drive 2025: Hiring AI/ML Engineer

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About LeadSquared

One of the fastest-growing SaaS companies in the CRM space, LeadSquared empowers organizations with the power of automation. More than 1700 customers with 2 lakhs+ users across the globe utilize the LeadSquared platform to automate their sales and marketing processes and run high-velocity sales at scale.

We are backed by prominent investors such as Stakeboat Capital, Jyoti Bansal, and Gaja Capital to name a few. We raised $153mn in our latest Series C funding round from WestBridge Capital, and we’re now India’s 103rd Unicorn! We are expanding rapidly and our 1400+ strong and still growing workforce is spread across India, the U.S, the Middle East, ASEAN, ANZ, and South Africa.

  • Among the Top 50 fastest-growing tech companies in India as per Deloitte Fast 50 programs
  • Frost and Sullivan’s 2019 Marketing Automation Company of the Year award
  • Among Top 100 fastest growing companies in FT 1000: High-Growth Companies Asia- Pacific
  • Listed as Top Rates Product on G2Crowd, GetApp, and TrustRadius

LeadSquared Recruitment

Job Role: AI/ML Engineer

Qualification: Bachelors / Masters Degree

Experience: 0-2 years 

Batch: 2025 / 2024 / 2023 / 2022

Salary: up to ₹8-14 LPA

Job Location: Bangalore

Last Date: ASAP

Job Notification Join us on Telegram: Click here

Job Summary:

Leadsquared is seeking a passionate and driven Machine Learning Engineer with 1-2 years of overall experience to join our innovative team in Bengaluru.

This role will focus on the development, deployment, and maintenance of machine learning models. While the primary focus is on ML, the ideal candidate will have a foundational understanding of data engineering principles and a willingness to work with data pipelines.

You will collaborate closely with data scientists and other engineers to translate business problems into scalable and impactful ML solutions.

Responsibilities:

  • Participate in the entire machine learning lifecycle, from problem definition to deployment and monitoring.
  • Develop and implement machine learning models using various algorithms and techniques.
  • Experiment with different modeling approaches and evaluate their performance.
  • Collaborate with data scientists to understand data requirements and feature engineering processes.
  • Assist in the preparation and cleaning of data for model training and evaluation.
  • Deploy and maintain machine learning models in production environments.
  • Monitor model performance and retrain models as needed.
  • Contribute to the development of MLOps pipelines and best practices.
  • Work with any cloud platforms (e.g., AWS, Azure, GCP) and their ML services.
  • Document machine learning models, experiments, and deployment processes.
  • Stay up to date with the latest advancements in machine learning and related technologies.
  • Collaborate with cross-functional teams to integrate ML solutions into existing products and services.
  • Troubleshoot and resolve issues related to deployed ML models

Qualifications:

  • Bachelor’s degree in engineering.
  • 1-3 years of overall experience with a focus on machine learning.
  • Solid understanding of machine learning concepts, algorithms, and evaluation metrics.
  • Hands-on experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
  • Proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy).
  • Basic understanding of data engineering principles and data pipelines.
  • Familiarity with different data storage solutions (e.g., relational databases, data lakes).
  • Exposure to cloud platforms (AWS, Azure, GCP) and their ML services (e.g., SageMaker, Azure ML, Vertex AI).
  • Strong problem-solving and analytical skills.
  • Good communication and collaboration skills.
  • Ability to learn quickly and adapt to new technologies.

How to Apply For LeadSquared In 2025?

Dreaming of an LeadSquared career. Follow these simple steps to apply for their 2025 opportunities:

  • Click Apply Here: Head straight to the LeadSquared career page using the button below.
  • Start Your Application: Hit Apply to begin.
  • Register or Login: Create an account if youre new, or login if youre already registered.
  • Complete the Form: Fill in all required details accurately.
  • Upload Documents: Submit your resume and any other requested documents.
  • Review and Verify: Doublecheck all information before submitting.
  • Submit: Hit submit and take a step closer to your dream career.

Apply Link For LeadSquared Apply Here

Job Notification Join us on Telegram: Click here

Job Notification Join us on WhatsApp: Click here

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