Antino Labs - AI/ML Engineer

Company Overview : Antino Labs is a global technology consulting and software engineering company that delivers cutting-edge solutions to businesses across various industries. We specialize in leveraging emerging technologies like Artificial Intelligence, Machine Learning, and Data Science to drive innovation and solve complex business challenges. Our expertise extends to platforms like Veeva and Salesforce, enabling us to provide tailored solutions for the pharmaceutical and healthcare sectors. We pride ourselves on our collaborative culture and commitment to delivering exceptional results for our clients. Role Overview : As an AI/ML Engineer with a focus on the pharmaceutical industry, you will be responsible for developing and implementing AI and Machine Learning solutions to address critical business needs. You will work closely with cross-functional teams, including data scientists, business analysts, and pharmaceutical domain experts, to identify opportunities for AI/ML applications, build predictive models, and deploy these solutions to improve efficiency, optimize processes, and enhance decision-making. Your work will directly impact the effectiveness of sales and marketing strategies, drug discovery processes, and patient outcomes. Key Responsibilities : - Develop and deploy machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch) to solve business problems within the pharmaceutical domain. - Collaborate with data scientists and business stakeholders to understand business requirements and translate them into actionable AI/ML solutions. - Design and implement data pipelines for data extraction, transformation, and loading (ETL) from various sources, including Veeva, Salesforce, and other relevant databases. - Build interactive dashboards and visualizations using Tableau to communicate insights and model performance to stakeholders. - Evaluate and fine-tune machine learning models to optimize performance and ensure accuracy. - Research and experiment with new AI/ML techniques, including Agentic AI, to improve existing solutions and identify new opportunities for innovation. - Ensure compliance with data privacy and security regulations within the pharmaceutical industry. Required Skillset : - Demonstrated ability to develop and deploy machine learning models using Python and relevant libraries. - Proven experience in data analysis, feature engineering, and model evaluation. - Strong understanding of statistical modeling and machine learning algorithms. - Experience working with pharmaceutical data and platforms such as Veeva and Salesforce. - Proficiency in data visualization tools like Tableau. - Excellent communication and collaboration skills to effectively work with cross-functional teams. - Bachelor's or Master's degree in Computer Science, Data Science, or a related field. - Ability to adapt to a fast-paced and dynamic environment. Company Overview : Antino Labs is a global technology consulting and software engineering company that delivers cutting-edge solutions to businesses across various industries. We specialize in leveraging emerging technologies like Artificial Intelligence, Machine Learning, and Data Science to drive innovation and solve complex business challenges. Our expertise extends to platforms like Veeva and Salesforce, enabling us to provide tailored solutions for the pharmaceutical and healthcare sectors. We pride ourselves on our collaborative culture and commitment to delivering exceptional results for our clients. Role Overview : As an AI/ML Engineer with a focus on the pharmaceutical industry, you will be responsible for developing and implementing AI and Machine Learning solutions to address critical business needs. You will work closely with cross-functional teams, including data scientists, business analysts, and pharmaceutical domain experts, to identify opportunities for AI/ML applications, build predictive models, and deploy these solutions to improve efficiency, optimize processes, and enhance decision-making. Your work will directly impact the effectiveness of sales and marketing strategies, drug discovery processes, and patient outcomes. Key Responsibilities : - Develop and deploy machine learning models using Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch) to solve business problems within the pharmaceutical domain. - Collaborate with data scientists and business stakeholders to understand business requirements and translate them into actionable AI/ML solutions. - Design and implement data pipelines for data extraction, transformation, and loading (ETL) from various sources, including Veeva, Salesforce, and other relevant databases. - Build interactive dashboards and visualizations using Tableau to communicate insights and model performance to stakeholders. - Evaluate and fine-tune machine learning models to optimize performance and ensure accuracy. - Resear