Solutions Architect-Machine Learning

13 hours ago


Bengaluru, Karnataka, India StaffRex Info Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Overview: The Solutions Architect-Machine Learning plays a critical role in our organization, serving as the domain specialist in machine learning solutions. This role is instrumental in driving the design and implementation of cutting-edge machine learning solutions that address our clients' complex business challenges. The Solutions Architect-Machine Learning works closely with cross-functional teams to ensure the successful integration and deployment of machine learning technologies.Key Responsibilities:
  • Collaborate with stakeholders to understand business requirements and translate them into machine learning solutions
  • Design and develop machine learning models and algorithms to address specific business needs
  • Lead the evaluation and selection of appropriate machine learning technologies and tools
  • Provide technical leadership and guidance to development teams in implementing machine learning solutions
  • Perform data analysis and develop data models to support machine learning initiatives
  • Architect and implement scalable, reliable, and secure machine learning infrastructure on cloud platforms
  • Identify and address technical challenges and roadblocks in machine learning projects
  • Stay updated with the latest developments in machine learning and contribute to the organization's knowledge base
  • Collaborate with sales and marketing teams to support pre-sales activities and client engagements
  • Conduct training sessions and workshops to educate internal teams on machine learning best practices
  • Participate in the development and delivery of technical presentations and thought leadership content
  • Ensure compliance with industry standards, best practices, and regulatory requirements in machine learning solutions
  • Contribute to the continuous improvement of machine learning processes and methodologies
  • Support in troubleshooting and resolving technical issues related to machine learning solutions
  • Drive innovation and contribute to the development of intellectual property in machine learning
Required Qualifications:
  • Bachelor's or master's degree in computer science, engineering, mathematics, or a related field
  • Proven experience in designing, developing, and deploying machine learning solutions in real-world scenarios
  • Demonstrated expertise in data modeling, feature engineering, and exploratory data analysis
  • Strong proficiency in programming languages such as Python, R, or Java for machine learning and data analysis
  • Comprehensive understanding of cloud platforms such as AWS, Azure, or GCP for machine learning implementation
  • Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn
  • Excellent problem-solving and analytical skills with a focus on delivering innovative solutions
  • Solid understanding of software development methodologies and best practices
  • Excellent communication and interpersonal skills with the ability to collaborate effectively across teams
  • Proven ability to manage multiple priorities and deliver results in a fast-paced, dynamic environment
  • Strong knowledge of statistics and probability theory as applied to machine learning
  • Experience in deploying machine learning models into production environments
  • Demonstrated ability to present complex technical concepts to non-technical stakeholders
  • Professional certifications in machine learning, cloud technologies, or related areas would be a plus
  • Passion for continuous learning and professional development in the field of machine learning


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