Senior Software Engineer - 1453
JOBSTER PRIVATE LTD.
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Job summary
JOBSTER PRIVATE LTD. is seeking an experienced Tech Lead to steer AI architecture, develop models, and deliver scalable AI solutions across platforms.
You will mentor engineers, collaborate with stakeholders, and ensure deployments meet security and performance standards in a fast-paced enterprise setting.
Qualifications
- More than 4 years of hands-on experience in AI development and implementation.
- Strong proficiency in Python programming.
- Hands-on experience with Azure AI and cloud services.
- Experience with machine learning frameworks such as TensorFlow or PyTorch.
- Familiarity with video analytics and AI-based video processing.
- Knowledge of DevOps practices within AI or data projects.
- Experience working in agile delivery environments.
- Strong leadership, project management, problem-solving, and communication skills.
- Excellent analytical, strategic, and solution-oriented thinking.
Responsibilities
- Lead AI solution architecture and end-to-end implementation across projects.
- Develop, optimize, and deploy AI models using Python and cloud services.
- Design AI solutions on Azure and other cloud platforms; support edge deployment.
- Collaborate with cross-functional teams to identify AI opportunities.
- Mentor junior engineers and data scientists; stay current with emerging AI technologies.
Skills
Education
Tools
Job description
As aTech Lead, you will lead the design, development, and deployment of AI-driven solutions, supporting enterprise AI initiatives and transformations. You will combine strong hands‑on technical expertise with leadership responsibilities, working closely with cross‑functional stakeholders to deliver scalable, secure, and high‑impact AI systems.
What will you do?
AI Architecture & Solution Delivery
Lead AI solution architecture, design, and end‑to‑end implementation across projects
Develop, optimize, and deploy AI models using Python and cloud‑based AI services
Integrate video analytics and video processing capabilities into AI solutions
Ensure AI systems meet scalability, performance, reliability, and security standards
Cloud & Platform Engineering
Design and implement AI solutions on Azure and other cloud platforms as required
Support edge AI deployment strategies where applicable
Apply DevOps practices to streamline AI development, deployment, and monitoring
Stakeholder & Delivery Collaboration
Collaborate with cross‑functional teams to identify and evaluate AI opportunities
Participate in requirements gathering and review functional specifications with Business Analysts
Work with the team lead to ensure designs and code align with architecture principles and standards
Quality & Governance
Participate in peer reviews to improve solution quality and maintain best practices
Ensure compliance with technical standards, security policies, and project guidelines
Leadership & Continuous Improvement
Mentor and guide junior engineers and data scientists
Stay current with emerging AI technologies, tools, and industry trends
Contribute to strategic thinking and continuous improvement initiatives
More than 4 years of hands‑on experience in AI development and implementation
Strong proficiency in Python programming
Hands‑on experience with Azure AI and cloud services
Experience with machine learning frameworks such as TensorFlow or PyTorch
Familiarity with video analytics and AI‑based video processing
Knowledge of DevOps practices within AI or data projects
Experience working in agile delivery environments
Strong leadership, project management, problem‑solving, and communication skills
Excellent analytical, strategic, and solution‑oriented thinking
Microsoft Certified: Azure AI Engineer Associate
Certified Artificial Intelligence Professional (CAIP)
Bachelor’s degree in Computer Science, Information Technology, or a related field
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