Job Title:AI/ML Data Scientist
Experience:8+ Years
Location:Chennai
We are seeking a highly motivated Senior AI Engineer to revolutionize our ERP product suite. You'll work hands-on with multiple ERP systems, integrating cutting-edge AI capabilities using OpenAI, ChatGPT, and related technologies. This is an individual contributor role where you'll have a direct impact on shaping product roadmaps, developing AI-powered features, and driving releases that delight our customers.
We Embrace a Talent-Led Culture
We are looking for a AI/ML Data Scientist with a strong dedication to recent and upcoming technologies, and a proven track record in modern methodologies. We seek those that are driven to not only develop clean and sturdy implementations, but to also architect, design, and innovate solutions that may have not been created before. As a member of the team, you will work alongside some of the best in the industry across our other practices and software teams to create the next generation enterprise grade construction software.
Position Summary:
Digital technologies, including analytics and AI, offer companies an unprecedented opportunity to achieve performance levels far beyond anything previously possible. To fully capitalize on this potential, clients require innovative business models that thoroughly analyze customers and business operations from every perspective.
With the power of Microsoft AI and our strong partnerships, we leverage artificial intelligence and data science through enterprise data management solutions. This enables us to help leading companies rapidly prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.
Key Responsibilities:
Design, develop, and deploy AI solutions within our ERP products, leveraging OpenAI, ChatGPT, and other relevant AI frameworks.
Collaborate with cross-functional teams to understand user needs and translate them into AI-driven features that enhance customer experiences.
Contribute to product roadmaps and strategic planning, ensuring AI initiatives align with business objectives.
Lead AI feature development from concept to production, managing the full development lifecycle.
Stay up-to-date with the latest advancements in AI and continuously explore new opportunities to leverage them within our ERP ecosystem.
Required Skills, Knowledge and Abilities:
Minimum of 8 Yearsof relevant experience in Data Science roles with expertise in building/deploying AI solutions.
Prompt Engineering:Engineer prompts and optimizes few-shot techniques to enhance LLMs performance on specific tasks e.g. personalized recommendations.
Model Evaluation & Optimization:Evaluate LLMs zero-shot and few-shot capabilities fine-tuning hyperparameters ensuring task generalization and exploring model interpretability for robust web app integration.
Response Quality:Collaborate with ML and Integration engineers to leverage LLMs pre-trained potential delivering contextually appropriate responses in a user-friendly web app.
Proficient inPythonand have experience working withmachine learningandNLPprocessing techniques and tools.
Worked on NoSQL databases and Vector DB
Solid experience developing and implementing generative AI models with a strong understanding of deep learning techniques such as GPT VAE and GANs.
Proficient inLangchain LLM
Strong knowledge of data structures algorithms and software engineering principles.
Required technical skills: Azure Open AI,OpenAI Studio,GPT3/4
About Trimble Company
As a leader in construction software and ERP solutions, Trimble empowers contractors worldwide. Our Construction Management Solutions (CMS) support contractors in managing projects, processes, and teams both in the office and on the field. By seamlessly connecting essential business functions like accounting and project management with field operations, our highly collaborative and intuitive cloud-based CMS solutions can be customized to fit organizations of any size. Enhance accountability, efficiency, and profitability with our suite of tools designed to improve project outcomes and drive better bottom-line results.