FULL TIME Junior Digital Marketing Executive 0-1 Year On-site(No of role : 2) Jaipur (Rajasthan) Company Description: Amplework Software Pvt. Ltd. is a dynamic and innovative software development company located in Jaipur. We specialize in providing top-notch software solutions to help businesses streamline their operations and boost productivity. Our experienced team of developers utilizes the latest technologies and methodologies to create custom software that meets the unique needs of each client. We offer comprehensive and tailored solutions in custom software development, mobile apps, low-code solutions, and enterprise application development to drive digital transformation for our clients. Job Description: We are looking for a motivated and proactive Junior SEO Executive to join our digital marketing team. This role is perfect for someone who has a basic understanding of SEO and wants to develop their skills further. You??ll gain valuable experience in using AI tools for optimization, understanding backlinks, and working with the latest SEO trends, especially within the IT industry. Key Responsibilities: AI Tools for SEO: Learn to use AI tools for analyzing keyword trends and improving SEO performance. Backlink Building: Assist in finding and building relevant backlinks to boost our website??s SEO. Keyword Research: Help with basic keyword research and optimization. On-Page SEO: Assist in optimizing website elements like title tags, meta descriptions, and headers for better SEO. Industry Research: Stay updated on SEO trends, tools, and algorithm changes to support the team??s strategies. Competitor Analysis: Help research competitors?? SEO strategies to identify opportunities for improvement. Requirements: Basic understanding of SEO principles and digital marketing concepts Familiarity with tools like Google Analytics, Google Search Console, SEMrush Interest in working with AI and automation tools for marketing Good analytical, research, and communication skills Pursuing or recently completed a degree or certification in Digital Marketing(preferred) What You??ll Gain: Hands-on experience with SEO and AI tools in a real business environment Exposure to IT industry-specific digital marketing strategies Fixed Working Hours Apply Now Our Interview Process Addressing a Dedicated Path to Join Amplework??s Team Landing your dream job at Amplework takes preparation and understanding. Here??s a series of steps that will offer you a clear roadmap to confidently navigate through each step and showcase your skillset at its best. Amplework??s Team Why Join Amplework??s Team! Be part of a passionate and collaborative team. Work on Cutting edge projects. Make a real impact. Enjoy competitive benefits. Great Working Environment. Join Our Team Please enable JavaScript in your browser to complete this form. Please enable JavaScript in your browser to complete this form. 1 2 3 Your Name * Email * Phone * Post * Select Post Fresher (Node.js | Python | React | AI Tools) Full Stack Developer (Node.js, Python, Front-End & AI Tools) Junior Digital Marketing Executive Linkedln Layout days) Educational Qualification * Select Education BA BBA BCA B.Com B-Tech MA MBA MCA Other Institution Name * Linkedln Profile Message Next Do You Have Job Experience? * Yes No Total Years Of Experience * Select Years 0 - 1 1 - 2 2 - 3 3 - 4 4 - 5 5 - 6 7+ Last Company Name * Job Profile * Current Annual CTC * Expected Annual CTC Notice Period (in days) Back Next DOCUMENTS * Click or drag a file to this area to upload. Please Upload Your CV / Resume Back reCAPTCHA Recaptcha requires verification. Im not a robot reCAPTCHA Privacy - Terms Submit
Develop and implement machine learning models using Python-based frameworks. Collaborate with the AI team to build, train, and optimize models for various applications. Utilize AI libraries such as TensorFlow, PyTorch, and spaCy to develop solutions. Contribute to the design and development of AI systems that leverage large language models (LLMs) and other advanced AI techniques. Work with data preprocessing, data augmentation, and model evaluation techniques. Assist in AI model deployment and integration with applications. Required AI Skills and Knowledge: Basic understanding of AI concepts such as supervised and unsupervised learning, classification, clustering, and neural networks. Knowledge of AI libraries and frameworks TensorFlow, PyTorch, or Keras for deep learning. spaCy for natural language processing. scikit-learn for traditional machine learning. Familiarity with Large Language Models (LLMs) , such as GPT, and their applications in natural language understanding and generation. Understanding of data preprocessing techniques , feature engineering, and model evaluation metrics. Awareness of AI ethics and responsible AI development practices. Preferred Skills (Not Mandatory): Exposure to cloud-based AI development platforms (e.g., Google Cloud AI, AWS AI, or Azure AI). Familiarity with optimization techniques for AI model performance. Understanding of deep learning architectures like CNNs, RNNs, and transformers. Required Programming Skills: Python proficiency is essential. Familiarity with Python libraries like NumPy, pandas, and matplotlib for data manipulation and visualization. Experience with version control systems like Git. Training and Development Opportunities: In-depth training on AI development, including machine learning and natural language processing. Exposure to Large Language Models (LLMs) and their use cases. Hands-on experience with AI frameworks and tools like TensorFlow, PyTorch, and spaCy. Guidance on best practices for deploying and scaling AI solutions in real-world environments Basic understanding of AI concepts such as supervised and unsupervised learning, classification, clustering, and neural networks. AI ethics and responsible AI development practices. Python proficiency is essential. Python libraries like NumPy, pandas, and matplotlib for data manipulation and visualization. version control systems like Git. Large Language Models (LLMs) and their use cases.
We are seeking a hands-on AI Engineer with 23 years of experience delivering production-grade AI solutions. This is a strategic position where youll work on advanced AI initiatives including LLMs, RAG pipelines, and multi-agent workflows to build intelligent, scalable systems. You will be responsible for building, fine-tuning, and deploying models , integrating them into production environments, and collaborating with cross-functional teams to deliver high-impact solutions for global clients. Key Responsibilities Design & Build: Develop and deploy AI/ML solutions for real-world business problems. LLM Engineering: Fine-tune and evaluate LLMs (OpenAI GPT, LLaMA, Mistral) for domain-specific tasks. RAG & Multi-Agent Systems: Build and optimize retrieval-augmented generation pipelines, vector search workflows, and multi-agent orchestration. API Development: Build scalable inference APIs with FastAPI/Flask, focusing on concurrency and performance. Deployment & MLOps: Collaborate with DevOps to containerize models (Docker) and deploy them on AWS/GCP/Azure. Model Monitoring: Track performance in production, iterate to improve accuracy, reliability, and cost efficiency. Continuous Learning: Stay updated with AI trends and propose innovative solutions for client projects. Education: Bachelors degree in Computer Science, Engineering, AI, or a related field. Experience: 23 years of professional experience in AI/ML engineering, data science, or related software development roles. At least one end-to-end AI project where you worked across multiple teams and led the technical delivery from initial design through deployment and monitoring. Technical Proficiency: Strong foundation in Python and ML/AI fundamentals (transformers, embeddings, NLP). Hands-on experience with at least one GenAI/LLM framework ( OpenAI API, Hugging Face, LangChain, LlamaIndex ). Experience integrating AI models into production systems and building REST APIs. Familiarity with containerization (Docker) and cloud platforms (AWS/GCP/Azure). Core Attributes: Strong problem-solving ability and a passion for innovation. Clear communication skills can explain technical decisions to teammates and stakeholders. Ownership mindset delivers quality solutions with minimal supervision. Curiosity to explore and adopt new AI tools and frameworks proactively. Who Should Not Apply Prefer strictly rule-based programming without flexibility for experimentation. Are uncomfortable with fast-paced learning, ambiguity, and solving open-ended problems. Lack interest in communicating solutions clearly to non-technical stakeholders. Always seeking help from others to finish the job.
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