48 Job openings found

. Data Scientist – KMPL Support Services – Analytics Location: Mumbai Grade: M1 to M4 Reports to: Lead/Principal Data Scientist Role Overview: Responsible for building analytical models for the banking, NBFC, and insurance sectors. Utilize machine learning algorithms or statistical models to optimize business processes across the customer lifecycle. Key Responsibilities: Develop and deploy machine learning ...

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 

  Please find the details below   Position : Data Scientist Location : Work from home Experience requirement : 3+ Years Joining Date : Immediate to 30 days      Job Description We are seeking a highly skilled and experienced Data Scientist to join our dynamic team. As a Data Scientist, you will play a critical role in analysing complex data sets, developing cutting-edge ...

An AI Specialist designs, develops, and deploys artificial intelligence models and algorithms to solve complex business problems, enhance efficiency, and automate processes. They work with machine learning, deep learning, and data pipelines to build intelligent systems, collaborating with teams to integrate AI into products, optimize performance, and ensure scalability.    Core Responsibilities Algorithm & ...

Key Responsibilities Develop and optimize computer vision models for object detection, segmentation, classification, tracking, OCR, etc. Build end-to-end deep learning pipelines from data collection, preprocessing, training, tuning, and deployment. Implement advanced image processing techniques for feature extraction and image enhancement. Design and train models using CNNs, RNNs, Transformers, Vision Transformers (ViT), GANs, and diffusion ...

About Us:We are forward-thinking firm at the intersection of data, technology, and creativity. We empower industries through innovative, data-driven solutions and a culture that values curiosity and bold thinking. Role Summary: We’re seeking a skilled and motivated Data Scientist with 5–6 years of experience to turn complex data into actionable insights. ...

About the job AI Labs is bringing together the brightest talents in the world to integrate AI into the DNA of each business inside and outside . With  presence across Energy, Airport, Port & Logistics, Cyber Security, E-Commerce, FMCG (and more!) we have the domain know-how to design, build and scale ...

Position Overview: As a Data Scientist, he will be responsible for translating management and business requirements into advanced analytics solutions. He will play a crucial role in the development of data pipelines, business intelligence tools, and the delivery of meaningful insights through trend analysis and business analytics. Responsibilities: 1. Data Analysis and Modeling:• Collaborate with ...

1. LEAD AI & DATA SCIENTISTAbout the RoleJoin Logicrest Technologies as our Lead AI & Data Scientist and take ownership of cutting-edgeAI/ML initiatives that power real-world industrial automation systems. You'll architect and deployproduction-grade machine learning models that directly impact critical infrastructure operations.Key Responsibilities- Design, develop, and deploy predictive models for ...

Job Role : Data Scientist Exp : 4+ Years Location: Singapore ( onsite) Qualifications: Experience with ML models is a must Proven experience as a Data Scientist, Data Analyst, or similar role, specifically in the Telecom domain or with/for a Telecom company involved in OPEX analysis. Strong knowledge of statistical analysis, data modeling, machine ...