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
5 Opening(s)
3.0 Year(s) To 10.0 Year(s)
14.00 LPA TO 25.00 LPA
🔹 Key Responsibilities
Design and build robust, scalable data pipelines and models.
Transform raw data into actionable business insights.
Develop ML models to automate processes and support predictions.
Deploy and manage solutions using cloud platforms like Azure, Databricks, and ADLS.
Ensure security, quality, and compliance across all solutions.
Monitor systems, resolve issues, and drive root-cause fixes.
Collaborate ...
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30.00 LPA TO 35.00 LPA
Position Overview:We are seeking an experienced Data Engineer to join our innovative data team data team and help build scalable data infrastructure, software consultancy, and development services that powers business intelligence, analytics, and machine learning initiatives. The ideal candidate will design, develop, and maintain robust high-performance data pipelines and solutions ...
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4.0 Year(s) To 7.0 Year(s)
20.00 LPA TO 25.00 LPA
Project Duration- 3 months (extendable 6 months)
Rate-1.60 Lac Pm
Exp- 4-7 yrs
Bangalore Hybrid
Required Skills & Qualifications:
Strong proficiency in Python, LLMs, Lang Chain, Prompt Engineering, and related GenAI technologies.
Proficiency with Azure Databricks.
Strong analytical, problem-solving, and stakeholder communication skills.
Solid understanding of data governance frameworks, compliance, and internal controls.
Experience in data quality rule development, profiling, and implementation.
Experience with ...
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Description
Executing plans of electrical wiring for well functioning lighting,intercom and other electrical systems, installing electrical apparatus,fixtures and equipment for alarm and other systems,installing safety and distribution components
Knowledge of Single phase, Three phase, MCB, Contactor and other switch gear.
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We are seeking an experienced Azure Data Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and managing ETL processes and data pipelines on the Microsoft Azure platform. Proficiency in Azure Data Factory (ADF), PySpark, and CI/CD pipelines is essential. The role ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
2.00 LPA TO 4.00 LPA
Roles & Responsibilities :
1. In process and Pre Inspection
2. Testing of insulating oil(BDV, Tan Delta, PPM,IFT etc) with hands on experience
3. Identifying non conformities and raising NCR
4. Prepare RCA, CAPA, for Ncs
5. Statical analysis of rejection/rework
Technical Skill :
1. 7Qc tools, Knowledge ,CAPA,COPQ knowledge, ISO 9001 awareness (Manufacturing Industry)
1 Opening(s)
1.0 Year(s) To 2.0 Year(s)
2.00 LPA TO 3.00 LPA
Experience: 1 to 2 years (preferred in Oil testing)
Working Experience in NABL Laboratory
Meet internal as well as external Customer related to Transformer Oil Condition Monitoring requirements.
Independently Handle the Transformer Oil Testing Laboratory.
Planning to achieve revenue targets with managing the competence, Integrity, and quality of work of the Org.
Periodic review of ...
1 Opening(s)
1.0 Year(s) To 2.0 Year(s)
2.00 LPA TO 3.00 LPA
Experience: 1 to 2 years (preferred in Oil testing)
Working Experience in NABL Laboratory
Meet internal as well as external Customer related to Transformer Oil Condition Monitoring requirements.
Independently Handle the Transformer Oil Testing Laboratory.
Planning to achieve revenue targets with managing the competence, Integrity, and quality of work of the Org.
Periodic review of ...
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2.00 LPA TO 3.50 LPA
Operations, planning & implementation using dif. tools/checks at diff. places eg benchmarking, Sample status for the day in terms of registration, typing, revenue, delays, and reasons.
Meet internal as well as external Customer related to Transformer Oil Condition Monitoring requirements.
Independently Handle the Transformer Oil Testing Laboratory.
Planning to achieve revenue targets with ...