AI/ML Lead

5 days ago

Thiruvananthapuram, Kerala, India Techversant Full time ₹ 12,00,000 - ₹ 36,00,000 per year

What's 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.g. Pandas, NumPy, Scikit-learn) and deep learning frameworks (e.g. Tensorflow, Pytorch).

What will make you stand out


• Experience in production software engineering routines in DevOps/MLOps (e.g.Continuous Code Integration and Deployment).


• Experiences in cloud-based solutions (e.g. AWS, Azure, GCP).

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