AI/ML Engineer

3 weeks ago


Navi Mumbai, India Gemini SOftware Solutions P Ltd Full time

Description : Key Responsibilities : - Design, develop, and implement machine learning models and algorithms for solving complex business problems for our different product platforms spanning diverse verticals like Logistics & Maritime- Collaborate with cross-functional teams to understand business requirements and translate them into AI/ML solutions.- Explore and pre-process large datasets to ensure data quality and relevance for model training.- Utilize AWS or Azure-based cloud services for data storage, processing, and model deployment.- Build and optimize AI models like TensorFlow to achieve high performance and accuracy.- Conduct model training, parameter tuning, and performance evaluation to continuously improve model performance.- Keep up-to-date with the latest advancements in AI/ML technologies and contribute to the research and adoption of new techniques.- Perform data analysis and visualization to provide insights and support data-driven decision-making.- Work on bringing out AI-driven features to our various products to enhance automation, prediction, and recommendation capabilities- Develop and maintain documentation for AI models, data pipelines, and experiments.Qualifications and Experience : Education : Bachelor's or Master's degree in Engineering Science, Data Science, or related field.Experience : 1-2 years of relevant experience in AI/ML techniques, model building, and data science.Key Skills : - Experience in working with AI/ML for Logistics and Maritime products is preferrable.- Understanding of business challenges any of the above industries- Prior experience in integrating AI/ML into existing products- Experience in deep learning, natural language processing (NLP), or computer vision is a plus.- Proficiency in programming languages like Python, R, or Java for data manipulation and model implementation.- Strong knowledge of machine learning algorithms, including supervised and unsupervised learning, regression, classification, and clustering.- Hands-on experience with AWS or Azure-based tools for data storage, processing, and cloud-based AI services.- Familiarity with popular AI frameworks like TensorFlow, PyTorch, Keras or Scikit-learn for model development.- Demonstrated ability to work on end-to-end AI/ML projects, from data exploration and pre-processing to model deployment.- Solid understanding of data structures, data wrangling, and feature engineering techniques.- Strong analytical and critical thinking skills, with a keen eye for detail.- Excellent communication and collaboration skills to work effectively in a team environment.- Ability to work with diverse product teams in multiple verticalsPreferred Skills : - Experience with SQL & data tools- Hands-on exposure to time-series forecasting, clustering, regression, and classification models.- Knowledge of optimization algorithms (linear programming, heuristics, genetic algorithms).- Exposure to/experience with fine tuning of AI models. (ref:hirist.tech)


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