AI/ML - Architect

Key Skills

Aartificial intelligence, AWS, Azure, Data science techniques, Design, DevOps, Google Cloud Platform (GCP), IT, Machine learning techniques, MLOps tools, Natural Language Processing (NLP), NoSQL, SDLC, SQL

Job Description

• As a data scientist, 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).

 Experience and Qualification:

• Tech/M.Tech/Ph.D CS/IS/IT or Msc Statistics, MCA
• 7+ Yrs core experience in Data Science projects

What Company Offers:

Excellent career growth opportunities and exposure to multiple technologies.

Fixed weekday day schedule, meaning, you’ll have your weekends off!

Family Medical Insurance.

Unique leave benefits and encashment options based on performance.

Long term growth opportunities.

Fun family environment surrounded by experienced developers.

Various internal employee rewards programs based on Performance.

Opportunities for various other Bonus programs – for training hours taken, certifications, special value to business through idea and innovation.

Work life Balance – flexible work timings, early out Fridays, various social and cultural activities etc.

Company Sponsored International Tours.

Email to careers@techversantinfotech.com