1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
About the Role :
We are looking for a hands-on Full Stack Data Scientist who can independently manage the
entire machine learning lifecycle—from data wrangling to deployment—without relying on a
dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self-
directed environment and is passionate about building real-world ML solutions that drive
business outcomes.
Key Responsibilities :
∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model
development, deployment, and monitoring.
∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,
TensorFlow, or PyTorch.
∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).
∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.
∙Collaborate with BI analysts and business stakeholders to translate requirements into
production-ready solutions.
∙Maintain and improve existing models and pipelines with minimal supervision.
Required Skills :
∙3+ years of experience in applied data science or ML engineering.
∙Strong Python programming skills, including experience with data manipulation and ML libraries.
∙Experience with Databricks and cloud-based ML deployment (Azure preferred).
∙Ability to work independently across the full stack of ML development and deployment.
∙Familiarity with version control (Git), CI/CD, and MLOps best practices.
∙Excellent communication skills and ability to work with remote teams across time zones.
Nice to Have
∙Experience with data pipeline development using PySpark or Delta Lake.
∙Exposure to Docker, REST APIs, or real-time inference.
∙Prior experience working in a manufacturing or industrial analytics environment.
Interview Process:
Shortlisted candidates will be required to complete:
∙An online technical skills assessment focused on Python and applied machine learning.
∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world
problem-solving and deployment capabilities.
Hours: 2:30 PM – 11:30 PM IST (working from Office)
Reports to: Manager, Data Analytics California, USA
1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
24.00 LPA TO 36.00 LPA
Job Summary:
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10.0 Year(s) To 12.0 Year(s)
Not Disclosed by Recruiter
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1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
3.00 LPA TO 3.60 LPA
Job description:
An inside sales executive generates revenue by selling products or services to potential customers by phone, email or other virtual channels.
They identify and qualify leads, make sales presentations, negotiate deals and close sales.
They work closely with marketing and other professionals to develop strategies and achieve sales targets.
The job typically requires excellent communication skills including active listening, persuasive speaking, and strong written communication abilities.
Inside sales executives understand the products or services they sell and the target market and competition.
They also have good organizational skills, can manage a sales pipeline, and provide regular reports on sales activities and results.
A successful inside sales executive is self-motivated and goal-oriented and has a passion for sales.
Job Requirements:
Generate leads
Qualify leads
Experienced
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Negotiate deals
Close sales
Manage sales pipeline
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1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
1.80 LPA TO 2.40 LPA
Job description:
An inside sales executive generates revenue by selling products or services to potential customers by phone, email or other virtual channels.
They identify and qualify leads, make sales presentations, negotiate deals and close sales.
They work closely with marketing and other professionals to develop strategies and achieve sales targets.
The job typically requires excellent communication skills including active listening, persuasive speaking, and strong written communication abilities.
Inside sales executives understand the products or services they sell and the target market and competition.
They also have good organizational skills, can manage a sales pipeline, and provide regular reports on sales activities and results.
A successful inside sales executive is self-motivated and goal-oriented and has a passion for sales.
Job Requirements:
Generate leads
Qualify leads
Experienced
Make sales presentations
Negotiate deals
Close sales
Manage sales pipeline
Stay up-to-date with product knowledge
Collaborate with team members
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1.0 Year(s) To 4.0 Year(s)
2.40 LPA TO 4.80 LPA
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