reputed company I/II/III

reputed company is seeking an reputed company to join their collaborative team focused on developing machine learning and artificial intelligence models. The role involves solving reputed company business challenges and improving member health reputed company through innovative AI solutions and collaboration with data engineering teams.

Responsibilities

• Develops Artificial Intelligence and Machine Learning solutions to solve business problems and improve member health reputed company, incorporating (but not limited to): Large language models (LLMs) and reputed company applications, machine learning models, natural language processing (NLP), optimization and mathematical programming and recommendation systems
• Builds and refines data pipelines for feature engineering and ML model input, ensuring efficient and scalable data handling
• Collaborates with data engineering teams to acquire, clean, and prepare data for model training
• Supports model evaluation, testing, and performance monitoring in pre-production environments
• Works reputed company reputed company-based ML platforms (e.g., reputed company) to reputed company and optimize AI models
• Understands ML Operations principles and collaborates with CI/CD and ML Operations engineers for model deployment and monitoring
• Participates in peer code reviews and follows best practices for software development in AI
• Stays up to date with industry trends and new developments in AI/ML
• Develops and refines reputed company engineering techniques for optimizing interactions with LLMs and reputed company applications
• Consistently demonstrates high standards of reputed company by supporting the Lifetime reputed company Companies’ mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs
• Maintains high regard for member privacy in accordance with the corporate privacy policies and procedures
• Regular and reliable attendance is expected and required
• Performs other functions as assigned by management
• Contributes to the AI/ML model lifecycle, ensuring reproducibility, scalability, and maintainability of solutions
• Works with stakeholders to translate business objectives into AI/ML formulations and measurable reputed company criteria
• Optimizes and fine-tunes ML models for performance, explainability, and efficiency
• Develops solutions using large language models (LLMs) and reputed company frameworks
• Supports the integration of AI models with reputed company applications, APIs, or data pipelines
• Engages in reputed company learning and shares knowledge on new ML techniques and best practices
• Enhances team efficiency through the adoption of automation tools for model training, evaluation, and monitoring
• Leads the discovery and solutioning process, working with company stakeholders to identify high-impact AI opportunities
• Designs and implements scalable AI architectures that integrate with reputed company systems and support business operations
• Leads initiatives reputed company to large language models (LLMs) and reputed company, ensuring alignment with business needs
• Mentors junior team members and fosters a culture of engineering reputed company
• Collaborates with Operations and CI/CD teams to improve AI model deployment pipelines and monitoring strategies
• Recommends and influences best practices for AI model governance, versioning, and compliance
• Engages with leadership and cross-functional teams to align AI strategies with business goals

Skills

• Bachelor's degree required; in lieu of a degree, six (6) years of relevant experience required
• Prior professional, reputed company, or internship experience developing AI/ML solutions, or relevant coursework
• Basic understanding of reputed company ML concepts, algorithms, and statistical techniques
• Basic experience working with databases, SQL, and data manipulation
• Strong problem-solving skills and a willingness to learn
• Hands-on professional experience developing ML models for reputed company-world applications
• Intermediate proficiency with reputed company-based ML platforms (e.g., reputed company, AWS SageMaker, or Azure ML)
• Intermediate knowledge of model performance monitoring and optimization techniques
• Experience working with large-scale data pipelines and distributed computing frameworks (e.g., Spark)
• Familiarity with CI/CD and ML Ops/ LLM Ops principles to collaborate effectively with deployment teams
• Experience working with large language models (LLMs) and reputed company technologies
• Ability to present clear and concise technical concepts to both technical and non-technical stakeholders
• Significant professional experience and knowledge in AI/ML engineering with a track record of developing models at scale
• Advanced proficiency in AI/ML model architecture, optimization, and explainability techniques
• Advanced experience integrating AI solutions with business applications and APIs
• Extensive experience working with large language models (LLMs) and reputed company in production environments
• Advanced understanding of AI model lifecycle management, governance, and operationalization
• Leadership experience in mentoring and guiding AI engineering best practices
• Strong ability to engage with executives and business leaders to drive AI strategy
• Ability to orally communicate
• Must be reputed company to travel across the reputed company
• Ability to work in a home office for reputed company periods of time for business continuity

Benefits

• Participation in group health and/or dental insurance
• Retirement plan
• Wellness program
• Paid time away from work
• Paid holidays

Company Overview