Content editor

Role: CorePHP Developer 

Developer Requirements/Expectations:

• Experience: 4-5 Years
• Tech Stack: Core PHP, MySQL, Basic JavaScript, Oracle
• 3rd Party Integration: Payment Gateways (Apple Pay Wallet, Google Pay, Stripe)
• Tools: Trello, Slack, Github
• Soft Skills: Team Work, Excellent Client Communication. 

Engagement Type: Full Time, Dedicated

• Work Hours: 8 Hours per day, 160 hours per month
• Shift: 10 AM-7 AM IST (Including Lunch hour)
• Work shifts need to be flexible to accommodate client calls in EST.
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Location: Remote

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

• Planning concepts by studying relevant information and materials.
• Illustrating concepts by designing examples of art arrangement, size, type size, and style and submitting them for approval.
• Preparing finished art by operating necessary equipment and software.
• Contributing to team efforts by accomplishing tasks as needed.
• Creating a wide range of graphics and layouts for product illustrations, company logos, and websites with software such as Photoshop.

Reviewing final layouts and suggesting improvements when necessary

1. Developing Dashboards as per leadership requirements to analyze the gap in sales performance

2. Transform high volumes of complex data into advanced analytic solutions.

3. Maintaining & updating Multiple large databases in structured format for ready to use in Excel Creating

multi-level dashboards with slicer, conditional report as per region wise access

4. Collaborated with various departments to improve the quality of data and reporting.

5. Performed data analysis and designed reports as per departmental needs.

6. Provide strong reporting and analytical information support to management team

7. Perform Day to Day Analysis of MIS Reporting & generating Sales Data reports on periodic basis.

8. Reports/dashboard generation & Publishing– Daily / Weekly / Monthly.

9. Monthly / Quarterly Revenue MIS as per Pan India Sales.

10. Analyzing Budget Vs Actual performance and finding the gaps to increase the sales

11. Generate and Publish Management reports in an accurate and timely manner.

12. Preparing,analyzing & tracking monthly Sales forecasting, Sale Trend Analysis and sharing the same with leadership ( Store Wise , SKU Wise & Category Wise)

13. Supporting Senior management team & other department heads with in-depth analysis

14. Generate both periodic and ad hoc reports as needed.

15. Analyse business information to identify process improvements for increasing business efficiency and

effectiveness.

16. Analyze Stock Availability & Fill Rate in Stores highlight low Stock low fill rate SKU`s in store

17. Preparing & Analyze Customer Bounce Report share with sales and logistic team

18. Help to identify any areas for process improvements.

19. Conduct Business Process analysis and identify critical issues and gaps .

20. Coordinating with Operations and other support groups.

21. Sales target setting across territories.

22. Analyzing the budget spend and trends for products across channels.

23. Design & implement sales expense/allowance module for all levels of field force.

24. Handling Sales Expenses & Cost Variance of Expenses (pre-month & estimates of expenses).

25. Activity Expense/Allowance, Advance, campaign expense.

26. Coordination with marketing & dispatch department for various inputs to field force.

27. Handling Sales Force Automation (SFA) Software for online reporting system for Sales Force Effectiveness.

28. Preparation of Creative Charts as per Analysis.

29. Preparation of Power Point Presentation as per MIS & Important Reports.

• Analyze system requirements and prioritize tasks
• Write clean, testable code using .NET programming languages
• Develop technical specifications and architecture
• Test and debug various .NET applications
• Review and refactor code
• Deploy fully functional applications
• Upgrade existing programs
• Support junior developers' work
• Document development and operational procedures

The ideal candidate will be responsible for designing, developing, testing, and debugging mobile applications for the company. Using Swift / Kotlin this candidate will be able to translate user and business needs into functional frontend design.

Responsibilities

• Designing, developing, and testing UI for mobile applications
• Build reusable code and libraries for future use
• Accurately translate user and business needs into functional frontend code

Qualifications

• 3+ years' experience in frontend development
• Experience building mobile applications using Kotlin or Swift.

• Work experience as Python developer
• Should have experience in  developing and working on consumer facing web/app products on in Django framework
• Should have experience working with react js front end design.
• Thorough knowledge of data stores, MyScore AWS services and should have experience with EC2, ELB, AutoScaling, CloudFront, S3
• Experience in Frontend codebases using HTML, CSS and Javascript
• Good understanding of Data Structures, Algorithms and Operating Systems
• Good experience of developing and integrating APIs
• Knowledge of object-relational mapping (ORM)
• Able to integrate multiple data sources and databases into one system (mysql)
• Understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
• Proficient understanding of code versioning tool (git)
• Good problem-solving skills