Description

You will develop and deploy AI-powered applications for large enterprise clients.

Responsibilities

• Design and deploy machine learning algorithms for industrial applications like predictive maintenance and demand forecasting.
• Collaborate with data and subject matter experts to validate and utilize new data elements.
• Drive the adoption and scalability of Generative AI and Deep Learning systems in product offerings.
• Conduct research, analysis, and benchmarking of various AI models.
• Establish and adopt best practices in MLOps.

Required Skills

• 10+ years of experience in applied machine learning (regression, classification, supervised, self-supervised, and unsupervised learning).
• MS or PhD in Computer Science, Electrical Engineering, Statistics, or related field.
• Strong foundation in mathematics (linear algebra, calculus, probability, and statistics).
• Proficiency in Python and object-oriented programming languages like JavaScript.
• Familiarity with pandas, scikit-learn, TensorFlow, PyTorch, and LangChain.
• Ability to lead projects both independently and within cross-functional teams.
• Excellent verbal and written communication skills.

Preferred Skills

• Experience with scalable machine learning frameworks (e.g., MapReduce, Spark).
• Expertise in Generative AI, LLMs, embedding models, prompt engineering, and fine-tuning.

Key Skills

Education

Any Graduate