Senior AI/ML Engineer

Job Description

Job Overview We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have a strong background in machine learning and artificial intelligence, with a proven track record of developing and deploying scalable ML solutions. This role involves close collaboration with cross-functional teams to design, implement, and optimize AI-driven products and services. Key Responsibilities Machine Learning Model Development and Deployment: Design, develop, and deploy machine learning models to solve complex business problems. Implement MLOps practices to ensure robust and scalable model deployment. Optimize model performance and ensure scalability and efficiency. Data Analysis and Feature Engineering: Analyze large datasets to extract meaningful insights. Develop and select appropriate features to enhance model performance. Collaborate with data engineers to ensure seamless data integration. Collaboration and Leadership: Work closely with data scientists, software engineers, and product managers to integrate ML solutions into products. Mentor junior team members and provide technical guidance. Communicate technical concepts to both technical and non-technical stakeholders. Research and Innovation: Stay abreast of the latest developments in AI/ML technologies. Evaluate and implement new tools and frameworks to improve existing systems. Drive innovation and continuous improvement in AI/ML solutions. What You'll Do Innovate: Design, develop, and deploy state-of-the-art machine learning models that solve complex problems and drive strategic decisions. Collaborate: Work cross-functionally with data scientists, software engineers, and product managers to integrate AI solutions seamlessly into our products. Lead: Mentor junior team members, fostering a culture of continuous learning and innovation. Optimize: Implement MLOps best practices to ensure scalable, reliable, and efficient model deployment and monitoring. Explore: Stay abreast of the latest advancements in AI/ML, evaluating and integrating new technologies to keep us at the forefront of innovation. Required Qualifications Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Professional Experience Minimum of 5 years of experience in machine learning engineering or a similar role. Technical Skills Proficiency in programming languages such as Python or R. Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization tools (e.g., Docker, Kubernetes). Strong understanding of data structures, algorithms, and software engineering principles. Soft Skills Excellent problem-solving and analytical abilities. Strong communication and teamwork skills. Preferred Qualifications Experience with big data technologies (e.g., Spark, Hadoop). Knowledge of NLP techniques and applications. Familiarity with CI/CD pipelines and version control systems like Git. Contributions to open-source projects or publications in reputable journals. What We Offer Competitive salary and benefits package. Opportunities for professional growth and development. A collaborative and inclusive work environment. Access to cutting-edge technologies and tools. Show more Show less