Machine Learning Engineer / Data Scientist
Application
WHAT WE’RE UP TO
WE ARE A LEAN, TENACIOUS MACHINE POWERED BY 85 OF THE SHARPEST, MOST PASSIONATE PEOPLE WE COULD FIND.
Simelabs is a product-driven venture-development firm that works with a range of startups and big brands to create compelling, successful, award-winning application. We help people perfect and realise their visions for digital products. While others may just churn out what a client asks for, we strive to truly understand the problems our clients are aiming to solve and will stop at nothing to build solid products that we’re proud of.
Roles and Responsibilities
- NLP Application Development: Design, develop, and deploy an intelligent chatbot/virtual assistant using state-of-the-art language models and NLP techniques. Ensure the application responds accurately to user queries and maintains context throughout the interaction.
- Working across client teams to develop and architect Generative AI solutions using ML and GenAI Developing and promoting standards across the community
- Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies
- Setup and train large language models (BERT, GPT-3, etc.) and other state-of-the-art neural networks
- Data Preprocessing: Clean, structure, and preprocess raw data to make it suitable for use with NLP models. This includes text normalization, tokenization, and other data transformation techniques.
- Model Training and Validation: Train and fine-tune NLP models using appropriate datasets. Validate model performance using suitable metrics and techniques, adjusting model parameters as necessary to optimize performance
- Integration: Work on integrating the NLP capabilities with various platforms including SAP, Salesforce, SharePoint, and ServiceNow. Ensure smooth and efficient data exchange between systems.
- Performance Optimization: Regularly monitor and evaluate the performance of the chatbot/virtual assistant. Use analytics to identify areas for improvement and optimize the system for better user experience and accuracy.
- Collaboration: Collaborate with other engineers, data scientists, and business analysts to understand requirements, refine models, and implement NLP solutions.
The Ideal Candidate
- 5+ years of professional experience in NLP/LLM solutions, with a focus on developing chatbots/virtual assistants or similar applications
- 5 Years of experience in programming Python/R Proficiency in industry-leading NLP tools, libraries, and frameworks
- Experience in deep learning and training LLMs.
- Hands on experience with forecasting, predictive modelling, and classification.
- Hands on experience with AWS services, such as S3, EC2, SageMaker
- Exposure to Generative AI/OpenAI ChatGPT/LangChain
- Hands-on experience integrating with platforms like SAP, Salesforce, SharePoint, and ServiceNow is a strong advantage.
Got what it takes?
Want to join the team? Submit your application—
we respond to most inquiries within three business days.
Perks and Benefits
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12 Paid Company Holidays
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6 Paid Sick Leave
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Group Health Plan insurance Employee, Spouse and dependent
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Performance Bonus
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Flexible time
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Work Life Balance