Job Title: Senior Machine Learning and AI Engineer
Client: Capital One,
Location: NJ ,
Company: Staffbee Solutions Inc
Job Type: W2, C2C
Visa : only H1B ,
About Us: Staffbee Solutions Inc. is a leading recruiting and staffing company dedicated to delivering high-quality software solutions and technology services. With a commitment to excellence and innovation, we partner with top organizations to provide talent that drives their business success.
Position Overview: We are seeking a highly experienced Senior Machine Learning and AI Engineer with over 8 years of expertise to lead and advance our machine learning and AI projects. The ideal candidate will possess a deep understanding of both machine learning algorithms and AI technologies, including natural language processing (NLP), computer vision, and reinforcement learning. This role involves designing, developing, and deploying sophisticated models and systems to solve complex business challenges and drive innovation.
Key Responsibilities:
- Design, develop, and optimize machine learning and AI models for a variety of applications, including predictive analytics, classification, recommendation systems, NLP, and computer vision.
- Implement and fine-tune algorithms to enhance model performance and accuracy.
- Handle large-scale datasets, including data collection, preprocessing, feature engineering, and transformation.
- Develop and maintain robust data pipelines to support model training, validation, and deployment.
- Conduct research on emerging machine learning and AI technologies to integrate state-of-the-art algorithms into existing systems.
- Experiment with new methodologies to address specific business needs and improve existing solutions.
- Deploy machine learning and AI models into production environments, ensuring scalability, reliability, and performance.
- Collaborate with engineering teams to integrate models with applications and systems.
- Monitor and evaluate the performance of deployed models, making adjustments as needed to ensure continued effectiveness.
- Troubleshoot and resolve issues related to model performance or data quality.
- Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to align machine learning and AI solutions with business objectives.
- Provide mentorship and guidance to junior engineers and data scientists, sharing best practices and offering support.
- Stay up-to-date with the latest advancements in machine learning and AI, and contribute to innovative projects and prototypes.
- Evaluate and apply new techniques to enhance existing solutions and drive technological advancement.
- Maintain comprehensive documentation of model development processes, experiments, and results.
- Prepare and present reports on model performance, improvements, and business impact to stakeholders.
Skills Required:
- Expertise in machine learning and AI frameworks and libraries such as TensorFlow, PyTorch, Keras, and scikit-learn.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with data manipulation and visualization tools (e.g., pandas, NumPy, Matplotlib).
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning and AI services.
- Strong understanding of mathematical concepts including linear algebra, calculus, probability, and statistics.
- Expertise in machine learning algorithms, AI technologies, and their practical applications.
Qualifications:
- Minimum of 8 years of experience in machine learning and AI engineering, with a focus on developing and deploying advanced models and systems.
- Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related field. Advanced degrees (e.g., Master’s or Ph.D.) preferred.
- Relevant certifications in machine learning or AI are a plus.
How to Apply: If you are passionate about Senior Machine Learning and AI Engineer and meet the above requirements, we would love to hear from you. Please send your resume to [rajkumar.d@staffbees.com].