1 Opening(s)
10.0 Year(s) To 15.0 Year(s)
30.00 LPA TO 35.00 LPA
Role OverviewThis role combines Data Engineering leadership with enterprise transformation ownership. You will lead a distributed data engineering and automation team while personally driving architecture, modernization, and high-impact delivery. You are accountable for turning legacy-heavy, labor-intensive systems into modern, automated, cloud-native platforms that measurably reduce cost, risk, and friction across the business.This is not a ...
1 Opening(s)
10.0 Year(s) To 15.0 Year(s)
Not Disclosed by Recruiter
Key Responsibilities:
Data Strategy Leadership - Define and drive the enterprise-wide business intelligence and analytics strategy, Align BI initiatives with overall business goals and digital transformation priorities
Formulate a comprehensive AI and analytics roadmap aligned with the organizations goals, focusing on improving operational efficiency.
Oversee the design and maintenance of a centralized data ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
8.00 LPA TO 12.00 LPA
Role: Azure Data Engineer
Work Mode: Onsite/Full-time
Location: Sholinganallur - Chennai
Year of Experience: 5 - 10 Years
No of Positions: 1
Notice Period: Immediate
Budget: 8 - 12 LPA
Good To Have Skills: Good Communication
Must Have Skills: Databricks (Strong), Azure Data Engineering, PySpark, Python, SQL
External Description:
Azure Data Engineering + Databricks (Strong) + Python + SQL
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
2.16 LPA TO 3.00 LPA
A data analyst job description involves collecting, cleaning, and interpreting large datasets to identify trends and provide actionable insights for informed decision-making. Key responsibilities include preparing and analyzing data using tools like SQL and Python, creating reports and dashboards to present findings to stakeholders, and collaborating with both technical and non-technical ...
1 Opening(s)
5.0 Year(s) To 6.0 Year(s)
8.00 LPA TO 10.00 LPA
Role: Data Scientist
Work Mode: Onsite
Location: Chennai
Year of Experience: 5 - 6 Years
No of Positions: 1
Notice Period: Immediate
Good To Have Skills: Communication
Must Have Skills: PySpark, Modelling Machine Learning, Python
Job Description:
1 Proficient in using basic Python syntax and data types, and can create simple data visualizations using Matplotlib.
2) Understands basic data manipulation tasks using Pandas." "Capable of performing linear regression ...
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
10.00 LPA TO 13.00 LPA
Designation: Embedded Test EngineerEducation: Bachelor’s or Master’s degree in computer science, Electrical Engineering, or a related field.Experience :• Minimum of 5-8 years of experience in software testing and quality assurance.• Proven experience with Python and C++ programming languages.• Strong understanding of embedded systems and real-time operating systems (RTOS), including experience ...
2 Opening(s)
3.0 Year(s) To 10.0 Year(s)
10.00 LPA TO 22.00 LPA
Job Description
Job Title: Analyst, Algorithm Research & Development (Optical modelling).
Job location- Chennai
Experience: Minimum 3 years
Employment Type: Full time
Key Responsibilities:
Develop algo focusing on optical modeling and computational geometry-based image processing algos and models.
Stay updated with emerging technologies and industry best practices. Bring new ideas to the team by exploring modern frameworks or tools ...
5 Opening(s)
8.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
Job Title: Senior Generative AI Consultant
Location: Remote
Employment Type: Full-time / Contract
Job Description:
We are seeking a highly motivated Generative AI Consultant with deep expertise in AWS services (especially Bedrock) and hands-on experience implementing Gen AI solutions. The ideal candidate is not only technically strong but also an excellent communicator who can translate complex AI concepts into business value.
Required ...
3 Opening(s)
3.0 Year(s) To 5.0 Year(s)
12.00 LPA TO 20.00 LPA
Job Title: AI/ML Engineer
Location: GIFT City, Gandhinagar
Position Type: Full-time (1 Position)
Job Summary
We are seeking a highly skilled AI/ML Engineer with 3+ yeard of experience to design, develop, and integrate AI-powered solutions into our SaaS products. The ideal candidate will have strong expertise in Python, Object-Oriented Programming concepts, Large Language Models ...
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