Hadoop Jobs in Kolkata

Senior AI/ML Developer | 5+ Years Experience | Full-Time | Kolkata About RedoQ RedoQ is a leading IT company specializing in innovation through Artificial Intelligence and Machine Learning. We are expanding our team and looking for an experienced Senior AI/ML Developer to lead AI-driven projects that enhance our products and accelerate business growth. Role Overview As a Senior AI/ML Developer at RedoQ, you will design, develop, and deploy advanced machine learning models and AI algorithms. You will work with large datasets, optimize model performance, and collaborate with cross-functional teams to integrate AI solutions across our platforms. Key Responsibilities Develop, train, and deploy machine learning models and AI algorithms to solve complex business problems. Collect, preprocess, and analyze large-scale datasets for model training. Optimize and fine-tune AI models for accuracy, scalability, and efficiency. Collaborate closely with data scientists, software engineers, and stakeholders to implement AI/ML solutions. Stay updated on the latest AI/ML research and technologies to continuously improve models and processes. Design and implement robust testing and validation strategies for AI models. Maintain clear documentation of models, workflows, and best practices. Required Skills & Qualifications 5+ years of professional experience in AI/ML development. Bachelor s or Master s degree in Computer Science, Data Science, Engineering, or related fields. Expertise in AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Proficient in programming languages like Python or R. Strong skills in data processing and analysis tools such as Pandas and NumPy. Experience with cloud AI/ML platforms like AWS SageMaker, Google AI Platform, or Azure ML. Excellent analytical, problem-solving, and communication skills. Ability to manage multiple projects independently and collaboratively. Preferred Qualifications Experience with advanced ML algorithms including deep learning, reinforcement learning, etc. Familiarity with Big Data technologies such as Hadoop, Spark, or Kafka. Knowledge of CI/CD pipelines tailored for AI/ML model deployment. Experience working in Agile environments. Research publications or contributions to AI/ML journals or conferences. Be part of a cutting-edge AI/ML team driving innovation. Work on challenging and impactful projects with a talented and collaborative team. Grow your skills with ongoing learning and development opportunities. Enjoy a dynamic work environment focused on technology and innovation. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, or related fields.

Job Title: Data Engineer Location: Kolkata Employment Type: Full-time Experience: 3+ years Salary: INR 10 - 15 LPA Notice Period: 30 Days Role & Responsibilities: Participate in technical and functional design discussions for sprints, modules, or projects Design and implement end-to-end data solutions involving storage, integration, processing, and visualization using Azure Ingest data from multiple sources such as SQL Server, Oracle, Excel, SQL Azure, etc., into Azure Data Factory and Azure Data Lake Storage (ADLS) Extract data from one database and load it into another, ensuring data integrity and performance Build scalable data architecture for ingestion, processing, and surfacing large-scale data for applications Utilize various scripting languages to integrate systems effectively, understanding their nuances Research and implement innovative methods to acquire data and leverage existing data for new applications Collaborate with data architects, analysts, and scientists to prepare datasets for analysis and interpretation Perform statistical analysis and fine-tune data processes based on test results Develop and extend libraries and frameworks to support data workflows Create design documents and provide technical solutions aligned with business requirements Preferred Candidate Profile: Strong understanding of database management, OLAP, and ETL frameworks Minimum 3 years experience working with Azure, Azure Data Factory, and .NET technologies Proficient in creating manual and auto-trigger pipelines in Azure Data Factory Experience in managing ETL jobs in Azure Synapse Analytics, including creating, updating, editing, and deleting jobs Ability to replicate existing application logic within Azure Data Lake, Data Factory, SQL Database, and SQL Data Warehouse environments Solid knowledge of SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) Proven initiative and innovative mindset Strong analytical and problem-solving skills