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We are seeking a talented specialist to help design and implement a cutting-edge automation and tracking ecosystem using GoHighlevel software, integrated with the powerful PhoneBurner power dialer. This short-term project comes with the potential for future opportunities and offers flexible working hours, making it perfect for a dynamic and skilled individual looking to make a significant impact.

Project Overview:

Part 1 - Design Phase:

• Grasp our vision for the ultimate automation ecosystem.
• Craft a comprehensive plan to maximize GoHighlevel's capabilities.
• Seamlessly integrate PhoneBurner power dialer using meaningful webhooks.
• Provide expert insights on GoHighlevel’s limitations and capabilities.
• Share best practices for automating follow-ups, appointment scheduling, and lead/task assignments.
• Outline key metrics and effective monitoring strategies.

Part 2 - Implementation Phase:

• Bring the approved design plan to life.
• Set up and configure GoHighlevel and PhoneBurner integration.
• Implement automation workflows and reminders for agents.
• Ensure smooth lead and task assignments to team members.
• Configure robust tracking and reporting of key metrics.
• Deliver comprehensive training and documentation for ongoing management.

Requirements:

• GoHighlevel software certification.
• Experience with PhoneBurner or similar power dialers.
• Strong understanding of automation and CRM integration.
• Ability to design and implement complex workflows.
• Excellent communication skills to explain GoHighlevel’s capabilities and limitations.
• Experience in setting up webhooks for integrations.

Complete this form to apply:

https://docs.google.com/forms/d/e/1FAIpQLSdOYq1xLowhrkqBaXaDEb2y8Cb5r4m2uZd76ky94uXJXG9xHA/viewform

              Job location: Pune 

              Shift Time- 02pm-11pm 

• Seven years of relevant software development experience
• 3 or more years using data interchange methods, including XML, JSON, RESTful, and SOAP
• 4 or more years of experience developing software in Java, Python that interacts with relational databases
• Two or more years of experience with HTML, HTML5, CSS, JavaScript, and mobile development
• Two or more years of business and systems analysis experience
• Understanding/leveraging Machine Learning algorithms for Projects is a big plus
• Minimum one year of experience in ReactJS/NodeJS.
• Experience working in Projects with Agile principles and methodologies like Scrum Full stack development experience

Job Responsibilities:

• Apply your knowledge of ML and statistics to conceptualise, experiment, develop & deploy machine learning & deep learning systems.
• Understanding the business objectives & defining the right target metrics to track performance & progress.
• Defining & building datasets with the appropriate representation techniques for learning.
• Training & tuning models. Running evaluation & test experiments on the models.
• Build ML pipelines end to end. (Everything MLOps.)
• Building pipelines for the various stages.
• Deploying models.
• Troubleshooting issues with models in production.
• Reporting results of model performance in production.
• Retraining, performance logging & maintenance.
• Help the business with insights for better decision-making. You will build many predictive models for internal business operations
  you will derive insights from the trained models & data to help the product & business teams make better decisions.

Requirements:

• 2+ years of work experience as an ML engineer or Data Scientist with a Bachelors Degree in Computer science or related field
• Theoretical & practical knowledge of Machine Learning, Deep Learning and Statistical methods. (NLP Tasks, Recommender Systems, Predictive Modelling etc)
• Since Pepper is a content company, you will work on many interesting text based problems. Solid understanding of Natural Language Processing techniques with Deep Learning is a must for this role.
• Familiarity with the popular NLP applications and text representation architectures & techniques: text classification, machine translation, named entity recognition, summarisation, question answering, zero-shot learning etc.  Bag of Words, TF-IDF, Word2vec, GloVe, BERT, ELMo, GPT etc.
• Experience with ML frameworks (like Tensorflow, Keras, PyTorch) & libraries like Sklearn.
• Experience with ML infrastructure & shipping models.
• Excellent programming & algorithmic skills. Good understanding of Data Structures and algorithms (fluent in at least one object oriented programming language). Proficiency in Python is a must.
• Strong understanding of database systems & schema design. Proficient in SQL

Please let us know if you are interested in the above opening and if interested please let us know your

Current CTC :

Expected CTC :

Notice Period :

Relevant experience in  Machine Learning :

Relevant experience in Deep Learning:

Relevant experience in NLP Applications:

Regards

Ashwini