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Techversant Infotech - AI / ML Lead

Techversant Infotech - AI / ML Lead

TechversantThiruvananthapuram
1 day ago
Job description

Description :

Whats important to us :

Techversant is seeking a highly skilled and experienced AI / ML Lead to lead the design and implementation of our artificial intelligence and machine learning solutions.

The successful candidate will work closely with cross-functional teams to understand business requirements and develop scalable, efficient, and robust AI / ML systems.

Job Description :

  • As a AI / ML Lead, you will need to build Solutions based on Deep learning, Reinforcement learning, Computer vision, Expert system, Transfer Learning, NLP, and generative models.
  • To Define, design, and deliver ML architecture patterns operable in native and hybrid cloud architectures.
  • Implement machine learning algorithms in services and pipelines that can be used on a web scale.
  • Create demos and proofs of concept, develop AI / ML based products and services.
  • Creating Functional and technical specifications for AI & ML solutions.
  • Follow SDLC process.
  • Advanced analytical knowledge of data and data conditioning.
  • Programming advanced computing and developing algorithms.
  • Developing software, data models and executing predictive analysis.
  • Design, develop, and implement generative AI models using state-of-the-art techniques.
  • Collaborate with cross-functional teams to define project goals, research requirements and develop innovative solutions.
  • Strong proficiency in Python / R / Scala (Python is a must and R, Scala is a plus).
  • Strong proficiency in SQL, NO SQL Databases.
  • Experience in implementing and deploying AI\ Machine Learning solutions (using various models, such as CNN, RNN, Fuzzy logic, Q learning, SVM, Ensemble, Logistic Regression, Random Forest etc.
  • Specializes in at least one of the AI / ML stack, Frameworks, and tools like MxNET and Tensorflow.
  • Hands-on experience with data analytics and classical machine learning, deep learning tools (e. Pandas, NumPy, Scikit-learn) and deep learning frameworks (e. Tensorflow, Pytorch).

What will make you stand out :

  • Experience in production software engineering routines in DevOps / MLOps (e. Continuous Code Integration and Deployment).
  • Experiences in cloud-based solutions (e. AWS, Azure, GCP).
  • (ref : hirist.tech)

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