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AI & ML-Engineer

AI & ML-Engineer

ProManage.bizhyderabad, India
14 hours ago
Job description

Responsibilities :

  • Design, Architect, and Develop software solutions based on suitable design patterns
  • Adopt new and emerging technologies to provide solutions
  • Collaborate with cross-functional teams to understand business requirements and translate them into machine learning problems.
  • Work alongside data scientists and software engineers to integrate machine learning models into production systems.
  • Identify technical issues and provide resolution.
  • Design, develop, and implement machine learning models for various business applications, including predictive analytics, recommendation systems, natural language processing, and computer vision.
  • Stay up to date with the latest advancements in AI and machine learning techniques.
  • Ensure that machine learning pipelines and systems are scalable, efficient, and robust
  • Excellent communication and interpersonal skills.

Qualifications BE / Master’s in computer science Critical Skills

  • Proven experience as a Machine Learning Engineer, AI Engineer, or similar role (typically 2+ years)
  • Experience writing software in Python, Scala, R, or similar.
  • Familiarity with cloud platforms like AWS, Google Cloud or Microsoft Azure for deploying models at scale.
  • Solid understanding of machine learning algorithms (supervised and unsupervised learning, deep learning, reinforcement learning, etc.)
  • Experience with data structures, algorithms, and software design.
  • Experience in using any LLM models in real-time projects.
  • Proven ability to work as part of cross-functional delivery teams in an Agile delivery environment.
  • Work in a dynamic, collaborative, non-hierarchical environment where your talent is valued over your job title or years of experience.
  • Strong problem-solving skills with the ability to think critically and creatively.
  • Ability to break down complex business problems into machine learning solutions.
  • Desired skills

  • Experience with machine learning libraries and frameworks
  • Expertise in data manipulation and analysis
  • Experience with big data technologies.
  • STS (Speech to Text & Text to Speech) #ASR (Automated Speech Recognition) Engine Exposure.
  • Great OO skills, including strong design patterns knowledge.
  • Familiarity with relational databases, NoSQL.
  • Out-of-the-box thinking, and in-depth problem-solving.
  • Personal skills

  • Result- and outcome-orientation
  • High degree of enthusiasm, dynamism, and drive to succeed
  • Capacity for hard work and perseverance
  • Maturity to collaborate with peers to achieve overall success
  • Capability to nurture and motivate direct reports to high success
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