Senior Software Engineer — AI

Ycotek Pvt. Ltd.; Minneapolis (MN); On-site; USD 120,000 - 190,000; Full time

Job summary

Ycotek is seeking a Sr. Software Engineer – AI to design and build AI/ML based software that enhances data quality, transforms and validates large datasets, and delivers actionable insights for clients.

You will model data, develop applications, and tune performance to meet customer requirements, while collaborating with teammates across functions. Ideal candidates possess a strong foundation in Python/SQL, familiarity with ML algorithms, data pipelines, and cloud deployments.

Qualifications

• Requires a Bachelor's degree in computer science, engineering, or related field.
• 4+ years in data engineering with at least 2-3 years AI/ML experience.
• Strong problem-solving and product-development focus.
• Proficient in Python and SQL for data manipulation and insights.
• Knowledge of ML algorithms and their pros/cons; strong statistical foundation.
• Excellent written and verbal communication for cross-team coordination.
• Eager to learn new technologies and techniques.

Responsibilities

• Design and develop AI/ML based software to transform, clean, and validate data for quality and insights.
• Model data, develop applications, and tune systems to meet performance and functional requirements.
• Assess requirements and propose data-driven business solutions for clients.
• Work on data science projects to solve predefined business problems.
• Craft innovative solutions bridging client requirements with system functionality.
• Produce high-quality deliverables on schedule.
• Communicate effectively with team members and clients to drive results.
• Provide technical guidance and cross-training to colleagues.
• Collaborate on data conversion scripts and integrations ensuring data quality.

Skills

Python

SQL

Data modeling

AI/ML

Data engineering

Communication

Curiosity

Education

Bachelor’s degree in computer science or engineering

Tools

Pandas

Numpy

Matlab

Matplotlib

ggplot

Pytorch/Tensorflow

Apache Spark

Keras

Go

GIT

SVN

Mercurial

MLflow

Kubeflow

Docker

Job description

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;

Key Responsibilities

• Design and develop AI/ML based software productionenhancedata transformation, cleaning, and validation for improved data quality and insights.
• Perform data modeling, application development, technical productassistance, and tuning to meet customer performance and functional requirements.
• Perform requirement assessment, information gathering, and recommendappropriate 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.

Key Specifications

• 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 productdevelopment,demonstratescuriosity.
• 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 technologiesand techniques
• Experience with data pre-processing and feature engineering.
• Experience working with and creating data architectures and data lake management.
• Prior knowledge/experience ofPandas,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).

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