MACHINE LEARNING/ML ENGINEER @ AFSANA INTELLECTT
We are seeking a highly skilled Machine Learning/ML Engineer to join our dynamic team in New York. The successful candidate will be responsible for designing, developing, and deploying advanced machine learning models and algorithms to solve complex business challenges. This role requires a strong background in data science and software engineering, as you will be working closely with cross-functional teams to integrate intelligent solutions into our existing infrastructure. The position offers a hybrid work environment, requiring the candidate to be onsite in New York for 2-3 days each week to foster collaboration and innovation.
In addition to technical expertise, the role demands a proactive approach to problem-solving and a commitment to staying current with the latest advancements in the AI/ML field. Candidates must be prepared for a mandatory face-to-face interview process to demonstrate their technical proficiency and cultural fit. You will be involved in the entire lifecycle of ML development, from data collection and preprocessing to model training, evaluation, and production monitoring. This is an excellent opportunity for a professional looking to make a significant impact in a forward-thinking organization while working in the heart of New York.
In addition to technical expertise, the role demands a proactive approach to problem-solving and a commitment to staying current with the latest advancements in the AI/ML field. Candidates must be prepared for a mandatory face-to-face interview process to demonstrate their technical proficiency and cultural fit. You will be involved in the entire lifecycle of ML development, from data collection and preprocessing to model training, evaluation, and production monitoring. This is an excellent opportunity for a professional looking to make a significant impact in a forward-thinking organization while working in the heart of New York.
Key Requirements
Ability to attend a mandatory face-to-face interview in New York.
Willingness to work in a hybrid model (2-3 days onsite per week).
Proficiency in programming languages such as Python, R, or Java.
Extensive experience with machine learning frameworks like TensorFlow or PyTorch.
Strong understanding of data structures, algorithms, and software design principles.
Proven experience in building and deploying scalable machine learning models.
Solid foundation in statistics, probability, and linear algebra.
Expertise in data preprocessing, feature engineering, and data cleaning techniques.
Excellent communication skills and the ability to collaborate with non-technical stakeholders.
Bachelor's or Master's degree in Computer Science, Data Science, or a related quantitative field.