Position: Machine Learning Engineer / Lead Work Location: Nagpur Experience: 8 to 12 Years Key Responsibilities Design and automate end-to-end ML pipelines (CI/CD, CT) for training, evaluation, and deployment. Productionize ML models into clean, modular, and
Visual SLAM and Robotics Focus (Immediate Joiners Only!) Job Description: We are seeking a highly skilled SLAM Engineer to join our team and contribute to backend development, with a strong emphasis on Visual SLAM (Simultaneous Localization
We are looking for a highly skilled Full Stack Developer with strong expertise in backend technologies like Python, Django, Flask/FastAPI, and frontend development using React.js. The ideal candidate will also have hands-on experience with SQL databases, familiarity with
Qcentrio is looking for a highly skilled and self-managed Quality Assurance Automation Engineer with 6 to 8 years of experience to join our dynamic team. The ideal candidate will have a proven track record of building
Additional Important Note For Applicants Currently, only immediate joiners (who have already completed their notice period) or candidates serving a notice period of up to 30 days will be considered for this opportunity. Candidates with longer
This role is best suited for: Excellent understanding of data visualization, data storytelling, and how to think about data problems in a business context and solving them using Machine learning High level proficiencies in Machine Learning
Mail:- [HIDDEN TEXT] Quality Assurance (QA) professional ensures that products or services meet established quality and performance standards before they reach the user. They design testing procedures, identify and document defects, and collaborate with cross-functional teams
Hiring office located in Kanpur Key Responsibilities: Handle basic IT support tickets for third-party and custom applications used in production and manufacturing. Participate in system rollouts, upgrade testing, and other project-related tasks. Collaborate with software developers and
Required Qualifications 2-5 years of experience in data analysis with strong proficiency in Power BI development. Expertise in SQL, data modeling, and database management systems. Experience with ETL tools and data integration processes. Strong analytical skills with
About Us Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies. Mission Statement To Provide Measurable & Transformational Value To
About Us Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies. Mission Statement To Provide Measurable & Transformational Value To
About Us Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies. Mission Statement To Provide Measurable & Transformational Value To
Additional Important Note For Applicants Currently, only immediate joiners (who have already completed their notice period) or candidates serving a notice period of up to 30 days will be considered for this opportunity. Candidates with longer
About Persistent We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate whats next. Our offerings and proven solutions create a unique competitive
Knowledge and Technical Skills : (any, max possible) NodeJS, ExpressJS, MongoDB, MySQL, ETL RASA, Python, Java NLU, NLP, NLG, PyTorch, Scikit learn, Keras, XGBoost, LightGBM Jupyter, VS Code, Git SQL, Pandas, NumPy Structured and unstructured data TensorFlow, PyTorch,
Jobs / Data Analyst Nagpur, India As a Data Analyst (Fresher), you will support the team in gathering, analyzing, and interpreting data to help drive operational efficiency and decision-making. You will work under the guidance of
• Build and manage ETL workflows using Azure Databricks and Azure Data Factory. • Develop automation and deployment pipelines using Azure DevOps and Jenkins. • Work with Kubernetes and Docker for containerization and orchestration. • Develop