AI ML Engineer_96818

About the Role

We are seeking a skilled AI/ML Engineer to design and implement cutting-edge AI and Machine Learning solutions. This role involves developing and optimizing advanced forecasting models and agentic AI workflows. You will leverage your expertise in programming languages like Python, R, or Java, and utilize AI/ML frameworks such as TensorFlow and PyTorch for model building. A key aspect of this position is building and deploying foundation models for Generative AI and Agentic AI applications. You will work with leading cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark), applying MLOps best practices for seamless model deployment and monitoring. The role also includes conducting research and development in Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning. Collaboration with cross-functional teams and effective communication with stakeholders to understand requirements and present findings are crucial for project success.

Key Responsibilities

• Design and implement AI/ML solutions for complex business challenges.
• Develop and optimize forecasting models and agentic AI workflows.
• Utilize programming languages such as Python, R, or Java for solution development.
• Leverage AI/ML frameworks and tools, including TensorFlow and PyTorch, for model building.
• Build and deploy foundation models for Generative AI and Agentic AI solutions.
• Work with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Spark).
• Apply MLOps practices for model deployment and monitoring.
• Conduct research and development in natural language processing (NLP), computer vision, and reinforcement learning.
• Collaborate with cross-functional teams to ensure successful project delivery.
• Communicate effectively with stakeholders to understand requirements and present findings.

Skills and Qualifications

• Expertise in AI, Machine Learning, and Agentic AI.
• Strong programming skills in Python, R, and/or Java.
• Experience with AI/ML frameworks like TensorFlow and PyTorch.
• Knowledge of forecasting models, NLP, computer vision, and reinforcement learning.
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and big data tools (Hadoop, Spark).
• Familiarity with MLOps practices for deployment and monitoring.
• Strong problem-solving, analytical, and research skills.
• Ability to collaborate with cross-functional teams and communicate findings effectively.

Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.