Data Scientist – Deep Learning, AI, ML

1 week ago

Bengaluru, Karnataka, India Akshya Patra Services Full time ₹ 20,00,000 - ₹ 25,00,000 per year
Overview The role of a Data Scientist specializing in Deep Learning, AI, and Machine Learning is critical in harnessing the vast potential of data to drive strategic business decisions. This position involves developing robust algorithms and models that address complex problems across various sectors. The Data Scientist will leverage their expertise in statistical analysis, machine learning, and programming to extract meaningful insights from large datasets. They will collaborate with cross-functional teams to align data-driven initiatives with organizational objectives. Understanding business requirements and translating them into analytical solutions is key in this role, ensuring that insights derived from data can lead to actionable strategies. Staying abreast of technological advancements in data science, especially in the domains of artificial intelligence and deep learning, is essential. The impact of this position contributes significantly to the improvement of processes, products, and customer experiences, thereby reinforcing the organization's competitive edge in an evolving marketplace. Key Responsibilities
  • Develop and implement advanced machine learning algorithms.
  • Design and optimize deep learning architectures using frameworks such as TensorFlow or PyTorch.
  • Collaborate with data engineers to prepare and clean datasets for analysis.
  • Perform exploratory data analysis to identify patterns and trends.
  • Evaluate and enhance existing models for accuracy and performance.
  • Deploy machine learning models into production environments.
  • Document methodologies, findings, and recommendations for stakeholders.
  • Work closely with business leaders to define analytic objectives.
  • Conduct experiments to test hypothesis and validate model effectiveness.
  • Utilize visualization tools to present data-driven insights clearly.
  • Stay current with recent developments in AI and machine learning fields.
  • Maintain best practices in data governance and ethical AI usage.
  • Mentor junior data scientists and provide technical guidance.
  • Collaborate on interdisciplinary projects involving varying data sources.
  • Contribute to open-source projects and community forums to enhance personal and organizational knowledge.
Required Qualifications
  • Master's or PhD in Computer Science, Data Science, Statistics, or related field.
  • Strong proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning and deep learning frameworks.
  • Proven experience with data manipulation and analysis tools.
  • Hands-on experience with large datasets and big data technologies.
  • Strong understanding of statistical methodologies and algorithms.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Experience in software development practices and tools such as Git.
  • Demonstrable problem-solving skills and analytical thinking.
  • Familiarity with cloud computing platforms (AWS, Azure, Google Cloud).
  • Experience in deploying models into production environments.
  • Understanding of data privacy and ethical considerations in AI.
  • Strong project management skills with the ability to lead initiatives.
  • Prior experience in a relevant industry is a plus.
  • Excellent teamwork and collaboration skills.
  • A strong portfolio of projects and contributions to relevant research or publications.

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