About the job

We are looking for self-driven, motivated and result oriented professional to be part of our dynamic team as a “Senior Software Engineer - AI”. 

Job Description:

• Design and develop AI/ML based software production enhance data transformation, cleaning, and validation for improved data quality and insights. 
• Perform data modeling, application development, technical product assistance, and tuning to meet customer performance and functional requirements.
• Perform requirement assessment, information gathering, and recommend appropriate business solutions to the company’s customers.
• Work on solution-crafting pre-defined business problems that require Data Science approaches.
• Formulate innovative solutions that best bridge any gaps between a client’s requirements and standard system functionality. 
• Create polished, high-quality deliverables on time. 
• Effectively communicate with subordinates, peers, superiors, and clients in a way that drives deliverables forward and maintains open communication lines. 
• Provide technical assistance and cross-training to other team members.
• Collaborate with the team to create data conversion scripts/integrations and test it ensuring data quality and acceptable system performance.

General Requirements:

• Bachelor's degree in computer science or engineering or related field(s).
• 4+ years of experience in data engineering, with at least 2-3 years specifically working with AI/ML based technologies.
• Strong problem-solving skills with an emphasis on product development, demonstrates curiosity.
• Experience using languages such as Python and SQL to manipulate data and draw insights from large data sets.
• Knowledge of a variety of machine learning algorithms (clustering, decision tree learning, artificial neural networks, LLM etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques
• Experience with data pre-processing and feature engineering.
• Experience working with and creating data architectures and data lake management.
• Prior knowledge/experience of Pandas, Numpy, Matlab, Matplotlib, ggplot, Pytorch /Tensorflow, Apache Spark, Keras, Go.
• Knowledge in version control system like GIT, SVN, and Mercurial.

Desirable Experience & Skills

• Experience in natural language processing (NLP), computer vision, or other specialized AI fields is a plus.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) for deploying AI models.
• Familiarity with MLOps tools and frameworks for model management and deployment (e.g., MLflow, Kubeflow, Docker).
• Experience of programming languages like C++, Java and Scripting Language (JavaScript).