Sr. Software Engineer MAHIN-JOB-32905

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Company: Keylent, Inc.

Location: New York, NY 10025

Description:

Sr. Software Engineer MAHIN-JOB-32905
Position :- Mlops Engineer
Location :- NYC/Alpharetta GA (Day 1 Onsite)
Must have:
  • Strong understanding of AI/Client concepts and techniques.
  • Proficiency in programming languages such as Python, with hands on experience in AI/Client libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with AI/Client model lifecycle activities, like data preprocessing, feature engineering, deployment, data visualization, etc.
  • Good understanding on model deployment, design, and architecture.
  • Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights.
  • Familiarity with at least one cloud platforms / hyper-scalers (e.g., GCP, Azure, AWS, NVIDIA) and experience in deploying AI/Client models in cloud environments.
  • Experience of integrating AI/Client features into business applications and solutions.
  • Experience in implementing and managing Client OpsKnowledge of software development practices, version control systems (e.g., Git), and agile methodologies.
  • Excellent communication and collaboration skills to work effectively in cross-functional teams.
  • Strong organizational and time management skills, with the ability to prioritize and manage multiple projects simultaneously.
  • Experience of 6 to 8 years of relevant experience.
Responsibilities:
  • Design and develop AI/Client applications to solve complex business problems.
  • Collaborate with data scientists and subject matter experts to understand business requirements and translate them into AI/Client solutions.
  • Implement and optimize AI/Client models and create pipelines using programming languages, preferably Python.
  • Conduct data preprocessing, feature engineering, and data exploration to ensure the availability of high-quality data for training and evaluation.
  • Evaluate and benchmark different AIML models, frameworks, and tools to identify the most suitable solutions for specific use cases.
  • Train, validate, and fine-tune AI/Client models using various techniques such as deep learning, reinforcement learning, and natural language processing.
  • Deploy AIML models in production environments, ensuring scalability, performance, and reliability.
  • Collaborate to integrate AI/Client solutions into existing applications or develop new applications.
  • Stay up to date with the latest advancements in AI/Client technologies and industry trends.
  • Provide technical guidance and support to junior team members and promote knowledge sharing within the team.
  • Flexibility to work as part of a team or an individual contributor.

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