Lead AI/ML Engineer

Responsibilities:

Develop and implement machine learning models and algorithms using Python programming language.
Utilize machine learning fundamentals, including deep learning, optimization techniques, generative AI, NLP, and large language models, to solve real-world problems.
Work closely with data scientists and engineers to gather requirements, perform data analysis, and develop end-to-end machine learning pipelines.
Conduct experiments and perform model evaluation to ensure the robustness, scalability, and accuracy of machine learning solutions.
Optimize and fine-tune machine learning models for performance and efficiency.
Collaborate with cloud computing teams to deploy machine learning models on cloud platforms, preferably Azure.
Utilize SQL for data extraction, transformation, and loading (ETL) processes.
Stay updated with the latest advancements in machine learning, artificial intelligence, and cloud computing technologies.

Qualifications:

Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
Proven experience 3 years working as a Machine Learning Engineer or similar role.
MLOps Experience must
Strong proficiency in Python programming language.
In-depth knowledge of machine learning fundamentals, including deep learning, optimization techniques, generative AI, NLP, and large language models.
Experience with cloud computing platforms (knowledge of Azure is a plus).
Familiarity with SQL for data manipulation and analysis.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Ability to thrive in a fast-paced, dynamic environment.