🚀 Exciting Opportunity Alert!
Symphony AI is looking for a Lead Service engineer, As a Lead Services Engineer at SymphonyAI Industrial, you will play a pivotal role in pioneering the integration and deployment of state-of-the-art predictive asset insights, Large Language Models and Generative AI technologies to solve some of the most intricate challenges faced by the industrial sector
Apply now and be part of shaping the future of AI Products. #Testing #GenAi #LLM #BangaloreJobs 📊💡
Job Description
🚀 Join our team as Lead Service Engineer in Bangalore!
Responsibilities:
- Collaborate with clients to understand their needs, challenges, and goals, to further propose AI solutions from the product mix that meet stakeholders organizational objectives.
- Lead the end-to-end data analysis, data contextualization, deployment of AI and machine learning models along with application and platform set up to ensure seamless integration with existing systems and platforms.
- Identify project risks associated with AI deployment, including data privacy, security, and model accuracy concerns and communicate effectively with internal and external teams to mitigate them effectively.
- Ensure that all AI solutions meet the highest standards of quality and reliability before being delivered to clients, via rigorous testing, validation, and performance evaluations of AI models.
- Lead AI service delivery projects, managing timelines, and manage stakeholder expectations with change management and also coordinate with internal and external teams to ensure that AI projects are completed on time and within budget.
- Provide technical leadership and mentorship to junior engineers, guiding them in best practices and advanced techniques in AI deployment.
- Provide ongoing support to clients post-deployment, addressing any issues or challenges that arise along with ensuring a smooth handover and knowledge transfer to clients' internal teams for ongoing management of AI systems.
- Monitor the performance of deployed AI models, ensuring they operate efficiently and effectively over time and optimize AI models based on real-time data and feedback.
Qualifications:
- Bachelors or Masters in a quantitative field or engineering.
- Overall 8+ years’ in the field of customer success.
- 3+ years’ experience in Data contextualization, Data analysis, AI / Machine Learning model deployment in an organization.
- Ability to understand industrial customer requirements and come up with solutions that drives customer delight and achieves organizational objectives.
- Expertise with Python-based data science tools: Scikit-learn, Numpy, Pandas, TensorFlow, Keras, Pytorch, and visualization tools: Matplotlib, Plotly, Seaborn.
- Extremely good in written and verbal communication. Should be able to lead engagements effectively.
- Ability and willingness to quickly learn and apply the latest technologies and innovate with speed.
- Ability to travel on the job as needed.
About Us
SymphonyAI leads the way in innovation, harnessing cutting-edge AI and machine learning to transform industries worldwide. As a global powerhouse in AI solutions, we enable organizations to unlock the full potential of data-driven insights. With a presence in 20 countries, our enterprise applications deliver rapid, transformative value across retail, CPG, finance, manufacturing, media, IT, and public sectors. Combining unmatched AI technology, vertical expertise, and industry-specific insights, we create applications that drive maximum value for our customers. Join us in shaping the future as we build a "World Class Engineering Team" committed to high performance. With over 3000 talented leaders, data scientists, and professionals, we incubate and develop groundbreaking solutions within the SymphonyAI Group.