39 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 

Key Responsibilities: - 1. Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. 2. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. 3. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems ...

Position Overview  We are seeking a skilled and versatile Full Stack AI Engineer with 7+ years of professional experience in software engineering with end-to-end application development and minimum 2+ years of artificial intelligence. The ideal candidate will play a key role in designing, developing, and deploying robust AI-powered applications, working across ...

Position - AI Manager India - Chennai   Salary - INR 4000000 - 6500000   Experience 8 - 16 Years   Job Description/Preferred Qualifications Key Responsibilities: • Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success. • Develop and maintain the infrastructure required for the deployment and execution of algorithms at ...

    Key Responsibilities: Design, develop, and implement end-to-end computer vision models Work on use cases such as image classification, object detection, pose estimation, OCR, facial recognition, etc. Apply deep learning techniques using CNNs, GANs, and transformers for vision-based tasks Handle large-scale visual data and optimize pipelines for training, inference, and deployment Collaborate with cross-functional teams including software ...

Role Overview:We are seeking a passionate and hands-on Gen AI Lead who is deeply experienced in the latestdevelopments in Generative AI (including LLMs, RAG, LoRA, QLoRA, etc.), with a strong foundationin Computer Vision, Image Processing, and Video Analytics. This individual will play a pivotal role indesigning, architecting, and deploying full-stack ...

Data Scientist – Banking and Risk Management Role Summary: The Data Scientists will design AI/ML models for banking and risk management, driving innovation and enhancing operational efficiencies for financial institutions. Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...

Data Scientist – Banking and Risk ManagementRole Summary:The Data Scientists will design AI/ML models for banking and risk management, driving innovation andenhancing operational efficiencies for financial institutions.Key Responsibilities: Develop AI/ML models for credit scoring, fraud detection, and risk assessment in banking. Analyze large datasets from banking systems to identify risk ...

Job description: Responsibilities: Design, develop, and implement advanced AI/ML algorithms and models. Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. Research and explore new AI/ML techniques and technologies. Train and optimize AI/ML models on large datasets. Evaluate and improve the performance of AI/ML models. ...

Key Responsibilities: Model, develop, and validate robotics and agent-oriented software solutions. Apply core statistical and graphical modeling skills to solve complex problems. Train and develop transformer-based models for both tech-related and image-based applications. Work with reinforcement learning techniques to optimize agent behavior and decision-making. Collaborate with cross-functional teams to integrate machine learning models into production ...