Senior Software Engineer — AI

We are looking for a self-driven, motivated, and results-oriented professional to join our dynamic team as a Sr. Software Engineer – AI. Please find the role details below;

• Design and develop AI/ML based software productionenhancedata 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 businesssolutions 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 andmaintainsopen communication lines.
• Provide technicalassistanceand 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.

• Bachelor’s degree in computer science or engineering or related field(s).
• 4+ yearsof 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,LLMetc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statisticaltestsand proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and masternew 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 controlsystemlike GIT, SVN, and Mercurial.
• 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 withMLOpstools and frameworks for model management and deployment (e.g.,MLflow, Kubeflow, Docker).