
Position: Senior Software Engineer
Location: Hybrid / Remote / Onsite – Based on client needs
Department: Information Technology
Employment Type: Full-Time
About the Role
As a Senior Software Engineer at Genclays, you’ll play a key role in designing, developing, and delivering high-performance software solutions that drive business transformation. You’ll collaborate with cross-functional teams, mentor junior developers, and contribute to strategic technology initiatives.
Position: Senior Data Engineers
Location: Hybrid / Remote / Onsite – Based on client needs.
Department: Information Technology
Employment Type: Full-Time
About the Role
As a Senior Data Engineer at Genclays, you will design, build, and optimize data pipelines and architectures to support advanced analytics and business intelligence. They work closely with data scientists and analysts to ensure data is clean, reliable, and accessible. This role demands strong expertise in big data technologies, cloud platforms, and programming. Senior engineers also mentor junior team members and contribute to strategic data initiatives.
Position: Data Analysts
Location: Hybrid / Remote / Onsite – Based on client needs.
Department: Information Technology
Employment Type: Full-Time
About the Role
As a Data Analysts at Genclays, you’ll play a key role in transform raw data into actionable insights that drive business decisions. They collect, clean, and interpret data using statistical tools and visualization platforms. This role requires strong analytical thinking, attention to detail, and proficiency in tools like SQL, Python, and BI software. Data Analysts collaborate across teams to support strategic planning and performance tracking.
Position: Business Intelligence (BI) Developers
Location: Hybrid / Remote / Onsite – Based on client needs.
Department: Information Technology
Employment Type: Full-Time
About the Role
As a BI Developer at Genclays, you’ll play a key role in design and develop data models, dashboards, and reporting tools that help organizations make data-driven decisions. They work with stakeholders to understand business needs and translate them into technical solutions using BI platforms like Power BI, Tableau, or Qlik. This role requires strong SQL skills, data visualization expertise, and a deep understanding of data warehousing. BI Developers play a key role in turning complex data into clear, actionable insights.
Position: Machine Learning Engineers
Location: Hybrid / Remote / Onsite – Based on client needs.
Department: Information Technology
Employment Type: Full-Time
About the Role
As a ML Engineer at Genclays, you’ll play a key role in building and deploy scalable ML models that power intelligent systems and applications. They work with large datasets, design algorithms, and optimize model performance using tools like Python, TensorFlow, and PyTorch. This role bridges data science and software engineering, requiring strong coding, statistical, and problem-solving skills. ML Engineers collaborate with cross-functional teams to integrate models into real-world products.
Position: AI Engineers
Location: Hybrid / Remote / Onsite – Based on client needs.
Department: Information Technology
Employment Type: Full-Time
About the Role
As an AI Engineer at Genclays, you’ll play a key role in developing intelligent systems and applications by integrating machine learning, deep learning, and natural language processing techniques. They design and deploy AI models that solve complex problems across domains like automation, recommendation, and computer vision. This role requires strong programming skills, mathematical foundations, and experience with AI frameworks like TensorFlow, PyTorch, and OpenCV. AI Engineers collaborate with data scientists and software teams to bring AI solutions into production.
Position: Data Architects
Location: Hybrid / Remote / Onsite – Based on client needs.
Department: Information Technology
Employment Type: Full-Time
About the Role
As a Data Architects at Genclays, you’ll play a key role in designing and managing the overall structure of data systems to ensure scalability, security, and performance. They define data standards, create models, and oversee integration across platforms and teams. This role requires deep expertise in database technologies, cloud infrastructure, and data governance. Data Architects play a strategic role in aligning data architecture with business goals.