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Company: Edunext Technologies Pvt Ltd

Location: Noida (On-site)

Internship Duration: 3 Months

Stipend: ₹5,000-₹8,000 per month

Gender Preference: Male candidates only

Job Description: Edunext Technologies Pvt Ltd is looking for dynamic and motivated HR Interns to join our team. This is an excellent opportunity for individuals who are looking to gain hands-on experience in human resources and recruitment.

Key Responsibilities:

• Assist in end-to-end recruitment, including sourcing, screening, and scheduling interviews.

• Maintain and update HR databases and employee records.

• Assist in onboarding and documentation of new hires.

• Support the HR team in day-to-day operations and administrative tasks.

• Coordinate employee engagement activities.

Requirements:

• Bachelor's degree (pursuing/completed) in HR, Business Administration, or a related field.

• Strong communication and interpersonal skills.

• Basic knowledge of MS Office (Excel, Word, PowerPoint).

• Ability to multitask and work in a fast-paced environment.

• Immediate joiners preferred.

Perks & Benefits:

• Hands-on experience in core HR functions.

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

Hiring for Java Developer Freshers to Experienced with probation training come full time employment.

• Being involved in various day-to-day activities such as order punching, order processing, shipping plans, order tracking, sharing delivery status etc. and also handling any order issues
• Answering customer queries on information including but not limited to, order status, shipment dates etc.
• Responding to customers in a courteous and timely manner
• Ensuring the terms and conditions while managing various customer orders from processing to delivery
• Updating and maintaining relevant data and reporting the same to the company in regular intervals

What you must have:

• Graduation is a must
• 3– 4 years of relevant work experience in customer service– order management role
• Excellent communication and listening skills
• Good knowledge as well as work experience in using SAP
• Good in MS Word, MS Excel and email writing
• Attention to detail and ability to multi-task

• Integration of user-facing elements developed by front-end developers
• Build efficient, testable, and reusable PHP modules
• Solve complex performance problems and architectural challenges
• Integration of data storage solutions

• Strong knowledge of PHP web frameworks
• Understanding the fully synchronous behavior of PHP
• Understanding of MVC design patterns
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Knowledge of object-oriented PHP programming
• Evolved Understanding of accessibility and security compliance
• Strong knowledge of the common PHP or web server exploits and their solutions
• Understanding fundamental design principles behind a scalable application
• User authentication and authorization between multiple systems, servers, and environments
• Integration of multiple data sources and databases into one system
• Familiarity with limitations of PHP as a platform and its workarounds
• Creating database schemas that represent and support business processes
• Familiarity with SQL/NoSQL databases and their declarative query languages
• Proficient understanding of code versioning tools, such as Git

• A graduate or postgraduate degree in Computer Science or IT Engineering
• 3+ years of work experience developing commercially successful web products
• Experience with analytics and process automation
• Attention to detail and a disciplined mind
• Extraordinary analytical and logical prowess
• Common Sense and Curiosity