Description

You will develop and deploy AI-powered applications and machine learning solutions for enterprise clients.

Responsibilities

• Design and deploy machine learning algorithms for industrial applications including predictive maintenance, demand forecasting, and process optimization.
• Select and deploy machine learning algorithms, LLMs, and SLMs to ensure scalability and performance.
• Drive the adoption and scalability of Generative AI and Deep Learning systems.
• Conduct research, analysis, and benchmarking of different AI models.
• Develop and present Points of View (PoV) on various AI models to guide strategic decisions.
• Collaborate with data engineers, subject matter experts, and engineering teams to pilot and scale new solutions.
• Establish and adopt best practices in MLOps.

Required Skills

• 5+ years of experience in applied machine learning including regression, classification, supervised, self-supervised, and unsupervised learning.
• Proficiency in Python and object-oriented programming languages such as JavaScript.
• Hands-on experience with TensorFlow, PyTorch, and LangChain.
• Strong foundation in mathematics, including linear algebra, calculus, probability, and statistics.
• Experience with data manipulation and machine learning libraries like pandas and scikit-learn.
• Ability to lead projects and work within cross-functional teams.
• MS or PhD in Computer Science, Electrical Engineering, Statistics, or a related field.
• Proficiency with GitHub.

Preferred Skills

• Expertise in Generative AI, including Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning.
• Experience with scalable machine learning frameworks such as MapReduce or Spark.
• Experience with reinforcement learning.
• A portfolio of relevant projects, such as GitHub repositories or published papers.

Key Skills

Education

Any Gradute