Sr. AL/ML Engineer

Job Title: AI/ML Engineer

Required Experience: 5+

Location : Mohali

Working Days : 5 Days (WFO)

Interview Mode : Face to Face

Interested one can apply : https://forms.gle/VfrV4fKNX2AYemXC7

About Us :

We were founded in 2008 with the goal of providing professional digital transformation solutions and experiences to businesses worldwide.

Our range of services includes enterprise software development, digital commerce, digital transformation, and brand-building strategy. Over time, we have established a strong presence in the market by consistently delivering high-quality solutions.

After building a solid foundation and exceeding market standards, we began adding value through new-age technologies such as Blockchain, Artificial Intelligence & Machine Learning (AI/ML), and Cloud Computing.We have a long history of helping our clients achieve their business goals and gain a competitive edge over their competitors.

Required Skills Set:

● Strong programming skills in languages such as Python, SQL etc.

● Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as TensorFlow, PyTorch, Scikit-learn, OpenCV and/or Keras.

● Knowledge of math, probability, and statistics.

● Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms.

● Must have experience in one of the SQL and No SQL database such as SQL

Server/MySQL, and/or MongoDB etc.

● Good experience in cloud infrastructure such as AWS, Azure or GCP

● Gen AI, LLM (Large language Model).

Job Description:

● Collaborate with software engineers, business stake holders and/or domain experts

to translate business requirements into product features, tools, projects, AI/ML,

NLP/NLU and deep learning solutions.

● Develop, implement, and deploy AI/ML solutions.

● Preprocess and analyze large datasets to identify patterns, trends, and insights.

● Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability.

● Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc.

● Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed.

● Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.