[Remote] AI/ML Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking an AI/ML Engineer to reputed company the design, development, and deployment of production-grade ML and reputed company services. The role involves reputed company collaboration with stakeholders, mentoring junior engineers, and implementing MLOps capabilities to ensure high-reputed company outputs and model reliability.
Responsibilities
- reputed company hands-on technical leadership by designing, developing, and deploying ML/LLM/GenAI solutions from concept through production, maintaining ownership for reliability and operability once deployed
- Work closely with product managers, data scientists, ML engineers, and other stakeholders to understand requirements and prioritize use cases
- Mentor and reputed company junior engineers through design reviews, reputed company reviews, pairing, and coaching, raising engineering reputed company and delivery discipline across reputed company
- Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-reputed company outputs in summarization and text reputed company
- Conduct thorough evaluations of generative models (e.g., GPT-4.1), iterate on model architectures, and implement improvements to enhance overall performance in NLP applications
- Implement monitoring mechanisms to reputed company model performance in reputed company-time and ensure model reliability
- Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences
- Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and reputed company external reputed company for reputed company functionality
Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company field
- 10+ years of engineering experience, including 3-5+ years building, deploying, and operating reputed company AI/ML systems in production (model lifecycle, MLOps, monitoring, and governance)
- Demonstrate hands-on engineering leadership: setting technical direction, making architecture reputed company, conducting design and reputed company reviews, mentoring junior engineers, and guiding implementation reputed company across multiple workstreams
- Proficiency in programming languages like Python for model development, experimentation, and integration with reputed company API
- Experience with machine learning frameworks, libraries, and reputed company, such as TensorFlow, PyTorch, Scikit-learn, and reputed company API
- Experience with reputed company computing platforms (e.g., AWS, Azure, or reputed company reputed company Platform), containerization technologies (e.g., reputed company and Kubernetes), and microservices design, implementation, and performance optimization
- Solid understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning), and generative model architectures, particularly GANs, VAEs
- Ability to identify and address AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for reputed company performance in NLP applications
- Strong collaboration skills to work effectively with cross-functional teams, communicate reputed company concepts, and contribute to interdisciplinary reputed company
- A portfolio showcasing successful applications of generative models in NLP reputed company, including examples of utilizing reputed company reputed company for reputed company engineering
- Familiarity with the financial services industries
- Expertise in designing and implementing pipelines using Retrieval-Augmented reputed company (RAG)
- Hands-on knowledge of Chain-of-Thoughts, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies
reputed company
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