NLP Analyst

Job Summary: We are seeking a highly skilled AI/ML Engineer with a strong focus on Artificial Intelligence and Machine Learning algorithms. The ideal candidate will be responsible for developing, implementing, and optimizing AI/ML models that drive innovative solutions and enhance our product offerings. This role requires a deep understanding of AI/ML principles, a passion for technology, and the ability to work collaboratively in a fast-paced environment.

Mandatory Skills: Conversational AI, NLP, LLMs, Generative AI, Prompt engineering, Data analysis

Responsibilities:

• Design, develop, and deploy AI/ML algorithms and models to solve complex business problems.
• Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
• Conduct data analysis and preprocessing to ensure high-quality input for AI/ML models.
• Evaluate and optimize existing algorithms for performance and scalability.
• Stay updated with the latest advancements in AI/ML technologies and methodologies.
• Document processes, methodologies, and results to ensure knowledge sharing within the team.
• Participate in code reviews and provide constructive feedback to peers.
• Assist in the training and mentoring of junior team members in AI/ML concepts and practices.

Mandatory Skills:

• Strong knowledge of AI/ML algorithms, including supervised and unsupervised learning techniques.
• Proficiency in programming languages such as Python, R, or Java, with a focus on AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with data manipulation and analysis using tools like Pandas, NumPy, or similar.
• Familiarity with natural language processing (NLP) techniques and frameworks.
• Solid understanding of statistical analysis and model evaluation metrics.
• Ability to work with large datasets and cloud-based platforms (e.g., AWS, Azure).

Preferred Skills:

• Experience with deep learning frameworks and techniques.
• Knowledge of reinforcement learning and its applications.
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Experience in deploying AI/ML models in production environments.
• Strong problem-solving skills and the ability to think critically.
• Excellent communication skills, both verbal and written.