We are hiring a Senior AI/ML Specialist with 15+ years of industry experience to lead the development of cutting-edge AI solutions that blend Large Language Models (LLMs) and traditional Deep Learning for industrial applications. This role requires a proven track record of delivering scalable AI solutions in data-heavy industrial environments, particularly with signal processing (e.g., FFT, velocity spectrum), time-series analysis, and large-volume data pipelines.The ideal candidate will have 7+ years of expertise in Deep Learning (CNNs, RNNs, Transformers) and 34 years focused on LLMs, coupled with direct experience in industrial AI deployments. strong industry exposure and a history of solving real-world problems through data analysis and machine learning are critical.Key Responsibilities * AI Solution Development:
Design, train, and deploy LLM-based systems and deep learning models (e.g., CNNs, Transformers) for industrial use cases like predictive maintenance, anomaly detection, and signal analysis.
Optimize models for large-scale sensor data, time-series datasets, and spectral analysis (FFT, velocity spectrum).
Industrial Data Expertise:
Process and analyze high-volume industrial data (vibration, acoustics, IoT sensor streams) using advanced signal processing and feature engineering techniques.
Develop hybrid AI architectures that integrate LLMs with classical deep learning for multimodal industrial applications.
Cross-functional Collaboration:
Partner with domain experts, engineers, and product teams to translate industrial challenges into AI-driven solutions.
Mentor junior team members and establish best practices for MLOps, model scalability, and deployment in resource-constrained environments.
Innovation & Leadership:
Stay ahead of advancements in LLMs (e.g., GPT, BERT, Llama), deep learning, and industrial AI trends.
Lead proof-of-concept projects to validate new AI approaches for real-time data processing and decision-making.
Qualifications
Experience:
15+ years in industry roles, with 7+ years in Deep Learning (CNNs, RNNs, GANs, Transformers) and 34 years in LLM development/fine-tuning.
Proven track record of deploying industrial AI solutions (e.g., manufacturing, energy, automotive) involving large-scale data and signal processing.
Hands-on experience with time-series analysis, FFT, spectral data, and sensor/IoT data pipelines.
Technical Skills:
Mastery of Python, TensorFlow/PyTorch, and NLP libraries (Hugging Face, LangChain).
Proficiency in big data tools (Spark, Hadoop) and cloud platforms (AWS, GCP, Azure).
Strong background in MLOps (Docker, Kubernetes, CI/CD) and model optimization (quantization, pruning).
Industry Exposure:
Prior roles in industrial sectors (e.g., robotics, energy, heavy machinery) with a focus on solving operational challenges using AI.
Experience working in cross-functional data/ML teams with a focus on production-grade deployments.
Education:
Bachelors/Masters in Computer Science, Electrical Engineering, or related field. PhD is a plus but not required.
Preferred Qualifications
Experience with edge AI deployments for industrial hardware.
Familiarity with physics-informed ML or hybrid models combining domain knowledge with AI.
Publications or patents in AI/ML applications for industrial systems.
Why Join Us?
Build AI solutions that transform industries through predictive analytics, real-time decision-making, and automation.
Work with cutting-edge tools and datasets in a team that values innovation and practical impact.
Competitive compensation, flexible work models, and opportunities for global collaboration.