AI/ML Expert (Artificial MAchine Learning)

Job highlights

• Required Qualifications: Bachelor s or Master s degree in Computer Science,Data Science,Engineering,Statistics,or a related field. 3+ years of hands-on experience in AI / ML model development and deployment. Proficiency in programming languages like Python,R,Java,or Scala.
• Experience working with large datasets,APIs,and real-time data processing

We are seeking highly skilled and motivated professionals for the role of AI/ML Expert in the field of Application Development and Maintenance. The selected candidate will be responsible for designing, developing and deploying scalable AI/ML models and analytics solutions that support enterprise-level applications. This role is ideal for individuals with a strong background in data science, programming and applied machine learning.

Key Responsibilities:
Lead the development and maintenance of AI/ML-enabled applications.
Design and implement machine learning algorithms and statistical models.
Collaborate with software developers, data engineers, and domain experts to integrate intelligent features into business applications.
Conduct data analysis, preprocessing, feature engineering, and model evaluation.
Monitor model performance and implement model retraining pipelines.
Translate business problems into technical solutions using data-driven approaches.
Stay updated with the latest research and advancements in AI, ML, and data science.

Required Qualifications:
Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
3+ years of hands-on experience in AI/ML model development and deployment.
Proficiency in programming languages like Python, R, Java, or Scala.
Experience with frameworks like TensorFlow, PyTorch, Scikit-learn, Keras, or MLlib.
Strong understanding of data structures, algorithms, and software development principles.
Familiarity with cloud platforms (AWS, Azure, GCP) and ML Ops tools is a plus.
Experience working with large datasets, APIs, and real-time data processing.

Desirable Skills:
Knowledge of Natural Language Processing (NLP), Computer Vision (CV), or Deep Learning techniques.
Experience in Big Data technologies such as Hadoop, Spark, Hive, or Kafka.
Strong problem-solving abilities, communication skills, and a collaborative mindset.