ETL Datastage developer

• Write clear, concise, and compelling content for various platforms, including website copy, blog posts, articles, social media updates, email newsletters, marketing materials, and more.
• Develop engaging and informative content that aligns with our brand voice and target audience.
• Research industry-related topics to develop original content.
• Edit and proofread content for accuracy, grammar, and style.

Content Strategy & Planning:

• Collaborate with the marketing team to develop content calendars and strategies.
• Brainstorm and pitch content ideas.
• Analyze content performance and make recommendations for improvement.
• Understand and implement SEO best practices to optimize content for search engines.

Collaboration & Communication:

• Work closely with designers, marketers, and other team members to ensure content consistency and quality.
• Communicate effectively with stakeholders to understand project requirements and deadlines.

Job Description: 

Machine Learning / AI Engineer (with 3+ years of experience)

We are seeking a highly skilled and passionate Machine Learning / AI Engineer to join our newly established data science practice area. In this role, you will primarily focus on working with Large Language Models (LLMs) and contribute to building generative AI applications. This position offers an exciting opportunity to shape the future of AI technology while charting an interesting career path within our organization.

Responsibilities:

1. Develop and implement machine learning models: Utilize your expertise in machine learning and artificial intelligence to design, develop, and deploy cutting-edge models, with a particular emphasis on Large Language Models (LLMs). Apply your knowledge to solve complex problems and optimize performance.

2. Building generative AI applications: Collaborate with cross-functional teams to conceptualize, design, and build innovative generative AI applications. Work on projects that push the boundaries of AI technology and deliver impactful solutions to real-world problems.

3. Data preprocessing and analysis: Collect, clean, and preprocess large volumes of data for training and evaluation purposes. Conduct exploratory data analysis to gain insights and identify patterns that can enhance the performance of AI models.

4. Model training and evaluation: Develop robust training pipelines for machine learning models, incorporating best practices in model selection, feature engineering, and hyperparameter tuning. Evaluate model performance using appropriate metrics and iterate on the models to improve accuracy and efficiency.

5. Research and stay up to date: Keep abreast of the latest advancements in machine learning, natural language processing, and generative AI. Stay informed about industry trends, emerging techniques, and open-source libraries, and apply relevant findings to enhance the team's capabilities.

6. Collaborate and communicate effectively: Work closely with a multidisciplinary team of data scientists, software engineers, and domain experts to drive AI initiatives. Clearly communicate complex technical concepts and findings to both technical and non-technical stakeholders.

7. Experimentation and prototyping: Explore novel ideas, experiment with new algorithms, and prototype innovative solutions. Foster a culture of innovation and contribute to the continuous improvement of AI methodologies and practices within the organization.

Requirements:

1. Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Relevant certifications in machine learning, deep learning, or AI are a plus.

2. Experience: A minimum of 3+ years of professional experience as a Machine Learning / AI Engineer, with a proven track record of developing and deploying machine learning models in real-world applications.

3. Strong programming skills: Proficiency in Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, pandas). Experience with cloud platforms (e.g., AWS, Azure, GCP) for model deployment is preferred.

4. Deep-learning expertise: Strong understanding of deep learning architectures (e.g., convolutional neural networks, recurrent neural networks, transformers) and familiarity with Large Language Models (LLMs) such as GPT-3, GPT-4, or equivalent.

5. Natural Language Processing (NLP) knowledge: Familiarity with NLP techniques, including tokenization, word embeddings, named entity recognition, sentiment analysis, text classification, and language generation.

6. Data manipulation and preprocessing skills: Proficiency in data manipulation using SQL and experience with data preprocessing techniques (e.g., cleaning, normalization, feature engineering). Familiarity with big data tools (e.g., Spark) is a plus.

7. Problem-solving and analytical thinking: Strong analytical and problem-solving abilities, with a keen eye for detail. Demonstrated experience in translating complex business requirements into practical machine learning solutions.

8. Communication and collaboration: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to diverse stakeholders

🌟💼 Calling All Social Media Enthusiasts! Join our Social Media Manager Internship at Marktecons!

Gain Valuable Experience in a Dynamic 3 Months Internship! 💼🌟

Are you a social media savvy individual looking to kickstart your career in the digital marketing world? 📲🌍

We have an exciting opportunity just for you! ✨

Our innovative company, Marktecons, is seeking a talented and passionate Social Media Manager Intern to join our dynamic team. 🎉

If you're ready to gain hands-on experience, sharpen your skills, and make a real impact, this internship is the perfect stepping stone for your career! 🚀

Roles and Responsibilities:-

Schedule and post content on social media accounts, boost engagement, and manage community interactions as part of the social media management team. 📅✨💬

Review designs for errors, obtain approval, and transfer final designs to the appropriate drive folders. ✔️🎨💻

Collaborate with the content calendar design team to assemble content from writers and designers into a comprehensive content calendar. 🤝📆🖌️

Conduct market research and assist in the development of digital marketing strategies to drive brand awareness, increase website traffic, and generate leads. 📊🔍📈

Knowledge of Canva to develop basic content for social media. 🎨📷🔧

Exceptional copywriting skills to craft compelling and catchy content for social media posts. ✍️🔥🎯

Knowledge of best practices for optimizing copy length, hashtags, and emojis for different social media platforms. ⏱️⌨️📌

Stipend- INR 5000/month 💰💸

Don't miss out on this incredible opportunity to gain practical experience, refine your skills, and make your mark in the digital marketing industry! Apply now and kickstart your career with Marktecons! 💼🌟🚀

Marktecons is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all interns. 🌈🤝

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Responsibilities: ·         

• Develop comprehensive product documentation that meets global standards.         
• Work with Engineering team to create Product Technical documentation, Knowledgebase, API Documentation.     
• Work with Product Management team to create Product User Guides, FAQs, Support Knowledgebase etc.         
• Work with Technical & Marketing teams to create content for Technical Blogs, White Papers, Product Comparisons, Case Studies etc.      
• Periodically review existing documentation and update them for Product Releases, prepare Release Notes. 
• Obtain a deep understanding of products to translate complex product information into simple, polished, and engaging content.     

Skills and Qualifications:

• Bachelor’s degree in relevant technical field.
• 2-8 years’ experience as an effective technical writer for products in the Cloud Computing Industry.
• Proven ability to quickly grasp complex technical concepts and create easily understandable text and pictures.
• Understanding of Cloud Concepts and experience in creating related documentation is a must.
• Superior written and verbal communication skills, with a keen eye for detail.
• Experience working with engineering to improve user experience and create visuals for technical support content.
• Experience working with video (screen capture) creation tools for user documentation.
• Understanding of REST APIs and ability to do simple checks using Postman or similar tools.
• Experience using Wordpress and other similar tools to create documentation.

Skills

CLOUD COMPUTING, Cloud Concepts, DOCUMENTATION