22 Job openings found

1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 12.00 LPA
  Role Overview The organization is seeking a qualified Consultant (IT Implementation) to support technology-driven projects for Central and State Government departments. The role focuses on IT solution implementation, system integration, process automation, digital transformation, and e-governance initiatives. The ideal candidate will have hands-on experience delivering government IT projects and will support project ...
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)
5.0 Year(s) To 7.0 Year(s)
10.00 LPA TO 13.00 LPA
About the Role The organization is a global leader in engineered solutions serving critical industries and large-scale infrastructure. This role is part of a high-performing finance function and involves ownership of financial reviews, taxation, compliance, and audit coordination. As a Financial & Taxation Analyst, you will be responsible for reviewing financial transactions, ...
1 Opening(s)
1.0 Year(s) To 3.0 Year(s)
10.00 LPA TO 18.00 LPA
  About the Company Our client is an emerging leader in AI-powered supply chain optimization. Their platform helps businesses eliminate overstocking and under-stocking by leveraging advanced analytics and forecasting models. Built by supply-chain experts, the organization focuses on enabling high-growth startups to scale seamlessly by aligning supply with demand through data-driven decisions. Key ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
Not Disclosed by Recruiter
  About the Company Our client is an emerging leader in AI-powered supply chain optimization. Their platform helps businesses eliminate overstocking and under-stocking by leveraging advanced analytics and forecasting models. Built by supply-chain experts, the organization focuses on enabling high-growth startups to scale seamlessly by aligning supply with demand through data-driven decisions. Key ...
1 Opening(s)
0 To 2.0 Year(s)
8.00 LPA TO 12.00 LPA
Business Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Responsibilities Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement databases, data collection systems, data ...
1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
3.00 LPA TO 3.60 LPA
  We are seeking an accomplished Senior Content Strategist & Solutions Content Lead to join our leadership team. This role requires a strategic thinker and a high-caliber content professional capable of delivering impactful, research-driven content that aligns with our consulting and automation-driven marketing philosophy. The ideal candidate will have a proven track ...
1 Opening(s)
7.0 Year(s) To 10.0 Year(s)
7.00 LPA TO 9.00 LPA
The incumbent will design and execute various HR initiatives in alignment with organizational objectives. He/she will be responsible for driving the performance management, rewards & recognition, talent management & succession planning framework, interventions towards leadership development, employee engagement, and any other new initiatives and projects. Understanding the organization's culture and ...
2 Opening(s)
3.0 Year(s) To 5.0 Year(s)
8.00 LPA TO 11.00 LPA
Role Overview: The Center is a hub for advancing research, policy, and advisory solutions in urban mobility. The Center addresses critical challenges in sustainable, equitable, and efficient transport systems across India. It collaborates with governments, international agencies, and academic institutions to promote innovation, build capacity, and deliver impactful projects.  The Senior Transport ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
15.00 LPA TO 18.00 LPA
The  Data  Engineer  is responsible for organizing data related to sales numbers, market research, logistics, linguistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.   Analyse and ...

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