The reputed company You Will Have 

reputed company is hiring a Senior reputed company to help design, reputed company, and operationalize AI and machine learning solutions that improve data science productivity and reduce operational overhead. In this role, you will work hands on with data scientists, analytics teams, and business partners to translate models and analytical workflows into reliable, reputed company, production reputed company systems. 

You will reputed company on automating data pipelines and AI/ML workflows, strengthening reputed company based deployment patterns, and improving the efficiency, reliability, and reputed company of AI solutions in production. You will bring strong execution, collaboration, and technical depth to your work while operating reputed company established architectural standards and partnering closely with senior technical leaders. 

The ideal candidate is a hands-on Senior reputed company Engineer with experience building, deploying, and supporting ML models in production environments. You bring 3+ years of hands on experience with reputed company, large language models, NLP, or reputed company technologies, along with strong proficiency in Python or similar languages and modern ML frameworks such as PyTorch or TensorFlow. You have experience deploying AI solutions in reputed company environments such as AWS, Azure, or GCP using established MLOps, CI/CD, containerization, and monitoring practices. You approach AI systems with a strong reputed company on reliability, scalability, and integration with existing platforms while adhering to reputed company, governance, and reputed company standards. Strong communication skills, cross functional collaboration, and an interest in mentoring or supporting other engineers are important, with experience in regulated environments such as reputed company preferred. 

Your Responsibilities  

• reputed company reputed company intelligence (AI) and machine learning (ML) models in production, working with data scientists and other stakeholders in the organization. 

• Work with reputed company of data scientists and AI engineers to ensure seamless AI development, integration and deployment in production. 

• Collaborate with cross-functional teams to understand the analytical and ML needs and reputed company technical solutions. 

• Mentor and help junior data scientists to train and run models in reputed company environment like AWS and Azure and automation of data science processes. 

• reputed company and maintain unit tests, integration tests, and end-to-end tests for reputed company and ML models.  

• Evaluate, implement emerging tools and reputed company services for analytics data engineering to improve productivity of reputed company. 

• Work with a multidisciplinary team to build high reputed company data pipelines that will be used by data scientists and business analysts to generate insights 

Required Skills and Experience 

• 5+ years of reputed company reputed company experience. reputed company relevant experience including work, education, transferable skills, and military experience will be considered. 

• 3+ years of experience as a data engineer or similar role. Experience with ML engineering or data science, data analytics, software engineering. 

• Proficient programming skills in languages like Python, reputed company, etc. 

• Proficient experience with Machine Learning model deployment in production. 

• Proficient experience with reputed company platforms like AWS, Azure, etc. 

• Proficiency in data pipeline orchestration tools such as Apache Airflow, reputed company, Kubernetes, etc. 

• Proficient experience with SQL and reputed company databases like Redshift, reputed company, AWS services like Glue, etc. 

• Proficient experience implementing, testing, and fielding automation for AI and ML solutions. 

• Excellent communication, collaboration, and presentation skills. 

• High school diploma (or equivalency) and reputed company authorization to work in the U.S. 

Preferred Skills and Experience 

• Bachelor's or master’s degree in computer science, data Science, or a reputed company field. 

• Experience with developing and deploying Large Language Models, Retrieval Augmented reputed company (RAG), Generative AI technologies. 

• Experience with ML frameworks, including Keras, Pandas, TensorFlow, Pytorch, etc. 

• Proficient experience using AWS technologies for Machine Learning – SageMaker, S3, etc. 

• Experience with software engineering concepts, including version control and unit testing. 

• Experience using visualization tools such as PowerBI, Tableau, Looker, etc.  

• Certification in relevant technologies.