Senior AI Engineer

Posted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Role
As a Senior AI Engineer, you will design and implement AI solutions, collaborate with teams to define success metrics, and iterate on AI model performance.
Summary Generated by Built In

Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions.

As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production.

The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems.


Requirements

Key Responsibilities:

  • Design and implement AI algorithms and models to solve real-world problems.
  • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions.
  • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes.
  • Develop technical documentation as well as customer-facing documentation and presentations.
  • Stay updated with the latest research and trends in AI and propose innovative ideas to improve our offerings.

Qualifications:

  • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
  • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production.
  • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn.
  • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure.
  • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions.
  • Excellent communication skills and ability to convey complex technical concepts to non-technical stakeholders.

Preferred Skills:

  • Experience with natural language processing (NLP) or computer vision applications.
  • Knowledge of MLOps principles and tools.
  • Familiarity with version control systems (e.g., Git) and Agile methodologies.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

#LI-remote

Top Skills

AWS
Azure
GCP
Python
PyTorch
Scikit-Learn
TensorFlow
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The Company
Bengaluru, Bengaluru
5,000 Employees
Year Founded: 2011

What We Do

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.

We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

In India, our offices are located in Chennai, Hyderabad and Bangalore.

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