Course5i intelligence pvt ltd is looking for Social Media Analyst to join our dynamic team and embark on a rewarding career journey. Data Collection : Gathering data from various social media platforms, including metrics like likes, shares, comments, and followers, as well as qualitative data related to user sentiment and feedback. Data Analysis : Using data analysis tools and techniques to identify trends, patterns, and insights from social media data. This may involve data visualization, sentiment analysis, and statistical analysis. Performance Metrics : Monitoring and reporting on key performance indicators (KPIs) such as engagement rates, click-through rates, conversion rates, and follower growth. Competitive Analysis : Analyzing the social media activities of competitors to identify opportunities, gaps, and best practices. Audience Insights : Understanding the demographics, preferences, and behaviors of the target audience to create more effective content and campaigns. Campaign Assessment : Evaluating the effectiveness of social media marketing campaigns and providing recommendations for improvement. Content Strategy : Collaborating with social media and content teams to develop data-driven content strategies that resonate with the audience.

SharePoint + PowerPlatform Developer Experience range: 5-8 Years. Must have skills: SharePoint, Power Platform, Power Apps, Power Automate, Office 365/SharePoint Online, SharePoint Designer, InfoPath, Power Automate flows, Power Apps, REST, jQuery.

Requirements & Qualifications: Minimum 6+ years of IT experience, including 4+ years in Appian BPM. Proven expertise in Appian BPM features, including SAIL forms, dashboards, and reports. Strong hands-on experience in Java/J2EE, Spring Boot, and microservices architecture. Proficient in web services (SOAP/REST) and integration tools like Apigee. Solid understanding of database management systems, particularly SQL. Experience with development tools such as Eclipse, NetBeans, IntelliJ, and PL/SQL. In-depth knowledge of software development methodologies (SDLC, Agile). Team management experience with the ability to lead and mentor a team effectively. Proven stakeholder management skills, with experience in engaging and collaborating with business and technical stakeholders. Excellent problem-solving skills with keen attention to detail. Strong communication and interpersonal skillsPreferred Qualifications:Experience in the financial services or banking industry. Familiarity with additional frameworks such as Struts, Hibernate, and AngularJS. Experience with reporting tools like iReport Designer and Eclipse BIRT. Exposure to DevOps tools including Maven, Gradle, and Log4J.

Experience: 4+ years of hands-on experience in deploying and monitoring machine learning models. Basic understanding of ML and data science/modeling aspects. Experience with open-source tools for MLOps, such as Kubernetes, Docker, and Apache Airflow and developing and streamlining workflows, building scalable pipelines, etc. Ensuring successful model development, testing, optimization, scaling, monitoring/observability, and governance Continuous integration and continuous deployment (CI/CD)Proficiency in cloud platforms, especially Azure and/or AWS. Strong scripting skills (e.g., Python) for automation and tool development. Problem-Solving: o Strong problem-solving skills with a focus on finding efficient and scalable solutions. o Ability to learn new tools on the go and developing best practices is mandatory.

We are seeking a highly skilled Data Scientist with a passion for AI, machine learning, and deep learning to join our dynamic team. The ideal candidate will have experience in generative models, LLMs, and advanced AI techniques, and will contribute to solving complex business challenges. Job Title: Data Scientist Location: Bengaluru, Gurugram, Mumbai, Coimbatore 2+years Of experience in machine learning, deep learning, or Al research, With a focus on generative models. Experience With generative models such as GANS (Generative Adversarial Networks), VAEs (Variational Autoencoders), and transformer-based models (e.g., GPT-3/4, BERT, DALL.E). Understanding of model fine-tuning, transfer learning, and prompt engineering in the context Of large language models (LLMS). Knowledge of reinforcement learning (RL) and other advanced machine learning techniques applied to generative tasks. Strong programming skills in python and familiarity With relevant libraries and frameworks. Proven experience in document detail extraction and feature engineering. Proficiency in data processing and manipulation techniques. Hands-on experience in building data applications using Streamlit or similar tools. Advanced knowledge in prompt engineering, chain of thought processes, and Al agents. Excellent problem-solving skills and the ability to work effectively in a collaborative environment. Strong communication skills to convey complex technical concepts to non-technical stakeholders.