A highly motivated Digital Marketing Executive with 3 -4 years of hands-on experience in both on-page and off-page SEO. The ideal candidate should also have working knowledge of Google Tag Manager (GTM) & Google Analytics. Basic understanding of PPC campaigns is a plus. Key Responsibilities Plan and execute SEO strategies to improve organic ranking and targeted traffic. Conduct keyword research and competitor analysis. Optimize website content, landing pages, and blog posts in SEO best practice. Do technical SEO audits and fix issues. Monitor and adapt to Google algorithm updates, implementing required changes swiftly and effectively. Monitor the website, its performance, and its reliability, utilizing Google Analytics, Search Console, and other SEO tools. Implement and manage tracking tags via Google Tag Manager (GTM). Working alongside the content and development teams to help implement SEO best practices. Support paid search campaigns (basic PPC exposure preferred). Key Requirements 2-3 years of proven SEO experience (on-page & off-page). In-depth knowledge in SEO tools such as Ahrefs, SEMrush, Moz, Screaming Frog. Good Knowledge of Google Algorithm Updates and the ability to adapt SEO strategy accordingly. Experience with GTM, Google Analytics, and Search Console. Basic Knowledge of HTML/CSS and content management systems such as WordPress and Shopify. Working knowledge of Excel (data analysis, VLOOKUP, basic formulas, etc.). Exposure to PPC methods and Google Ads is an advantage. Strong analytical and decision-making skills. Excellent In writing and communication.

Position: AI/ML Lead Location: Mohali Experience: 9+ Years Key Responsibilities: Lead the end-to-end design, architecture, and delivery of complex AI/ML solutions, including scalable data pipelines, advanced model development, training, deployment, and post-deployment support. Strategically develop and implement machine learning models across diverse domains such as natural language processing (NLP), computer vision, recommendation systems, classification, and regression. Drive innovation by integrating and fine-tuning Large Language Models (LLMs) like GPT, BERT, LLaMA, and similar state-of-the-art transformer architectures into enterprise-grade applications. Own the selection and implementation of appropriate ML frameworks, tools, and cloud technologies aligned with business goals and technical requirements. Spearhead AI/ML experimentation, Proof-of-Concepts (PoCs), benchmarking, and model optimization initiatives. Collaborate cross-functionally with data engineering, software development, and product teams to seamlessly integrate ML capabilities into production systems. Establish and enforce robust MLOps pipelines covering CI/CD for ML, model versioning, reproducibility, and monitoring to ensure reliability at scale. Stay at the forefront of AI advancements, particularly in generative AI and LLM ecosystems, and champion their adoption across business use cases. Required Qualifications: Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Hands on experience in the AI/ML domain, with a proven track record of delivering production-grade ML systems. Expertise in machine learning algorithms, deep learning architectures, and advanced neural network design. Demonstrated hands-on experience with LLMs, transformer-based models, prompt engineering, and embeddings. Proficiency with ML frameworks and libraries such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, etc. Strong programming skills in Python and familiarity with cloud platforms (AWS, Azure, or GCP) for scalable ML workloads. Solid experience with MLOps tools and practices including MLflow, Kubeflow, SageMaker, or equivalent. Excellent leadership, analytical thinking, and communication skills. Preferred Qualifications: Experience with vector databases . Exposure to real-time AI systems, edge AI, and streaming data environments. Active contributions to open-source projects, research publications, or thought leadership in AI/ML. Certification in AI/ML is big plus. Interested candidates can apply directly or share their resume at shubhra_bhugra@softprodigy.com