Jobs in DinaNagar, Gurdaspur

Bpo calling staff need Male female Both can apply No target Full tym Partym both can apply

Need labour for manufacturing plant loading and unloading

We are Urgently Looking for Computers Teacher. Good Knowledge in C Programming C++ Java Tally Etc

Join our team as a Customer Associate, where you will play a key role in delivering excellent service to our customers from the comfort of your home in Amritsar. This full-time position is ideal for freshers eager to begin their career in customer support.Key Responsibilities:1. **Customer Support**: Respond to customer queries via phone, email, or chat. You will address their concerns promptly and ensure their satisfaction with our services.2. **Issue Resolution**: Take ownership of customer issues and strive to resolve them efficiently. You will work to provide solutions that enhance customer experience.3. **Product Knowledge**: Familiarize yourself with our products and services. You will provide accurate information to help customers make informed decisions.4. **Record Keeping**: Maintain detailed records of customer interactions. You will update our systems to ensure all customer information is current and accessible.5. **Feedback Collection**: Gather customer feedback to help improve our services. Your insights will contribute to our overall goal of providing outstanding customer care.Required Skills and Expectations:Candidates must have completed their 12th grade and have strong communication skills in English and Hindi. You should be comfortable using computers and various online platforms. A friendly demeanor, patience, and a desire to help others are essential. We expect you to be enthusiastic, willing to learn, and able to work independently from home.

We are looking for a dedicated and experienced Visa Consultant to join our team. The ideal candidate should have strong knowledge of visa processes, documentation, and embassy requirements for countries like the USA, Canada, UK, and other international destinations. Responsibilities include guiding clients through the visa application process, preparing and reviewing documents, handling client queries, and ensuring timely submission of applications. The candidate should possess excellent communication skills, attention to detail, and the ability to manage multiple cases efficiently. Prior experience in immigration or visa consultancy will be preferred.

Role Overview: We are seeking a Hands-on Azure AI Architect with expertise in Azure cloud infrastructure, DevOps automation, and programming in .NET/C# or Python, combined with AI solution design and deployment. This role blends cloud architecture, AI engineering, and hands-on coding-enabling scalable AI-driven applications for industries such as banking, healthcare, retail, and digital platforms. Key Responsibilities: Architect and implement Azure-based AI solutions leveraging Azure Cognitive Services, Azure ML, and Azure OpenAI. Integrate AI/ML workloads into scalable cloud-native and hybrid infrastructures. Design and automate CI/CD and MLOps pipelines (Azure DevOps, GitHub Actions). Build automation scripts and tools using .NET/C# or Python. Manage and optimize Windows Server and Linux/Unix environments for AI workloads. Deploy and orchestrate AI-driven applications on Kubernetes/AKS. Ensure Responsible AI practices, security, compliance, and governance across AI deployments. Set up observability and monitoring frameworks for AI services (App Insights, Azure Monitor, Grafana, ELK/EFK). Collaborate with developers, data scientists, and business teams to translate AI use cases into production-grade solutions. Mentor engineers on Azure AI, DevOps, and automation best practices. Required Skills & Experience: 8-12 years of professional experience in cloud architecture, DevOps, or infrastructure engineering, with at least 3+ years in AI/ML solution design. Strong expertise in Azure AI services: Cognitive Services, Azure ML, Azure OpenAI, Synapse, Data Lake, Bot Services.

Role Overview Were hiring a Senior Data Scientist who can own end-to-end problem solving-from business discovery and hypothesis design to model deployment and post-production monitoring. You will partner with product, engineering, and client stakeholders to build production-grade ML/AI and GenAI solutions on AWS/Azure/GCP and mentor a small pod (2-5) of data scientists/ML engineers. Key Responsibilities Business & Problem Framing: Engage with client stakeholders to translate objectives into measurable DS/ML use cases, define success metrics (ROI, adoption, accuracy, latency), and create experiment plans. Data Strategy & Feature Engineering: Own data acquisition, quality checks, EDA, and feature pipelines across SQL/Spark/Databricks; collaborate with Data Engineering for robust ingestion and transformation (Airflow/dbt). Modeling: Build, tune, and compare models for supervised/unsupervised learning, time-series forecasting, NLP/CV, and GenAI (RAG, fine-tuning, prompt-engineering) using Python (pandas, NumPy, scikit-learn, XGBoost/LightGBM), PyTorch/TensorFlow, Hugging Face. MLOps & Deployment: Productionize via MLflow/DVC, model registry, CI/CD (GitHub/GitLab), containers (Docker/Kubernetes), and cloud ML platforms (SageMaker/Azure ML/Vertex AI). Expose services via FastAPI/Flask; implement monitoring for drift, data quality, and model performance. Experimentation & Causality: Design and analyze A/B tests, apply causal inference techniques (e.g., propensity scoring, DiD) to measure true impact. Explain ability, Fairness & Compliance: Apply model cards, SHAP/LIME, bias checks, PII handling, anonymization/pseudonymization, and align with applicable data privacy regulations (e.g., GDPR/DPDP). Visualization & Storytelling: Build insights dashboards (Tableau/Power BI/Plotly) and communicate recommendations to senior business and technical stakeholders. Collaboration & Leadership: Mentor juniors, conduct code and research reviews, contribute to standards, and support solutioning during pre-sales/POCs. Required Skills & Experience Experience: 7-10 years overall, with 5+ years in applied ML/Data Science delivering models to production for enterprise clients. Programming & Data: Expert Python, advanced SQL, and hands-on with Spark/Databricks. Strong software practices (testing, typing, packaging). ML/AI Stack: scikit-learn, XGBoost/LightGBM; PyTorch or TensorFlow; NLP (spaCy, Transformers, embeddings), vector DBs (FAISS/Pinecone), LangChain/LlamaIndex for RAG. Cloud & MLOps: Real-world deployments on AWS/Azure/GCP using SageMaker/Azure ML/Vertex AI; MLflow, model registry, feature store, Docker/K8s, and CI/CD. Experimentation & Analytics: A/B testing, Bayesian/ frequentist methods, causal inference, statistical rigor. Visualization & Communication: Storytelling with data; Tableau/Power BI/Plotly, executive-ready presentations. Domain Exposure (nice-to-have): BFSI risk/collections/CLV, retail demand/personalization, healthcare claims/clinical NLP, manufacturing quality/predictive maintenance. Bonus: Recommenders, time-series, graph ML, optimization (OR), reinforcement learning, geospatial analytics. Education & Certifications Bachelors/Masters in Computer Science, Data Science, Statistics, Applied Math, or related field. Preferred certifications: AWS/Azure/GCP ML, Databricks, TensorFlow or PyTorch.

We are looking for a detail-oriented Data Entry Operator to join our team. This part-time position allows you to work from home, making it ideal for freshers who have completed their 12th education. We prefer female candidates for this role.**Key Responsibilities:**- **Data Input:** Accurately enter data into computer systems or databases, ensuring that all information is correct and up-to-date. This is vital for maintaining the integrity of our records.- **Data Verification:** Review and verify data entries to identify errors or discrepancies. This helps in maintaining the quality and accuracy of data.- **Organizing Information:** Sort and organize data files systematically for easy retrieval and access. Structuring data properly helps in efficient data management.- **Maintaining Confidentiality:** Ensure the protection of sensitive information by following data security protocols. This is essential to maintain trust and privacy.- **Reporting:** Generate reports and summaries based on data as requested by management. This assists in project tracking and decision-making.**Required Skills and Expectations:**- Strong attention to detail is crucial for accuracy in data entry tasks.- Good typing speed and basic computer skills are necessary for efficient data management.- Familiarity with spreadsheet and word processing software is preferred.- Ability to work independently and manage time effectively to meet deadlines.- Strong communication skills are needed to understand instructions clearly and ask questions when necessary. This role is perfect for individuals looking to start their careers in data management while enjoying the flexibility of working from home.

We are looking for a motivated and organized Personal Assistant to support daily operations from the comfort of your home. This role is ideal for recent graduates or individuals with up to one year of experience.Key Responsibilities:1. **Administrative Support**: Assist with scheduling appointments, managing emails, and preparing documents to ensure smooth daily operations.2. **Communication**: Act as a point of contact between the executive and clients or stakeholders, making sure all communications are clear and professional.3. **Task Management**: Help prioritize and manage tasks effectively to meet deadlines and ensure optimal productivity.4. **Research**: Conduct research on various topics as requested, gathering relevant information and presenting it in a clear, concise format.5. **Confidentiality**: Handle sensitive information with discretion and confidentiality, maintaining trust and professionalism at all times.Required Skills and Expectations:Candidates must possess strong organizational skills, attention to detail, and the ability to multitask in a fast-paced environment. Excellent verbal and written communication skills are essential for effective interaction with others. Proficiency in computer applications, particularly word processing and spreadsheet software, is expected. A proactive and positive attitude, along with a willingness to learn and adapt, will help you succeed in this role.