18 Job openings found

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 

  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 ...

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 ...

As a motion graphics designer at the company , you do more than bring graphics to life. You use your strong creative background to create powerful videos that capture an audience and leave them wanting more. Strong technical skills and proven ability to use a variety of Adobe software (Photoshop, Illustrator, ...

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 ...

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 ...

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 ...

Risk Analyst - We are looking for an experienced Risk Analyst to setup, monitor and drive the end to end credit risk management framework - Collaborate with the Credit Policy, Collections and Tech team to help formulate credit policy framework, develop risk models and early warning signals, propose tech enablement, and implement ...

As a Financial & Taxation Analyst, your role is to overall review the financial transactions within company, finalizing the Quarterly Invoicing, Management Presentations, supporting Management with financial decision making. You need to work on Tax / Secretarial / Legal compliance for TMSIPL, and also be overall responsible for Statutory / ...

About The Role As the Manager you will play a crucial role in managing and overseeing the credit operations and processes of the organization. You will be responsible for assessing the creditworthiness of individuals and businesses, evaluating loan applications, managing credit risk, and ensuring compliance with relevant regulations and internal ...