Tata Consultancy Services Hiring AI/ML Engineer / Automation Engineer in Pune | Onsite
Tata Consultancy Services Hiring AI/ML Engineer / Automation Engineer in Pune | Onsite
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Job description
What you’ll do in this role
Job Overview
Tata Consultancy Services is seeking AI/ML Engineers or an Automation Engineer for a role based in Pune, India. The position focuses on designing, developing, and deploying intelligent automation and artificial intelligence solutions for enterprise use. The desired candidate profile specifies a Bachelor of Technology degree.
The role combines machine learning, Generative AI, Python development, automation workflows, and cloud-based AI platforms. The engineer will contribute to AI-driven applications and work with architects, business stakeholders, and engineering teams to deliver solutions designed for scale and security.
Key Responsibilities
- Design, develop, and deploy intelligent automation solutions and AI-driven applications.
- Build enterprise-grade solutions for intelligent document processing, conversational AI, predictive analytics, and recommendation engines.
- Develop AI agent capabilities and workflow automation solutions to support business and engineering needs.
- Create and implement Generative AI-powered applications using relevant machine learning and Python development skills.
- Work with architects, business stakeholders, and engineering teams to shape and deliver scalable AI solutions.
- Contribute to secure solution design and implementation for enterprise environments.
Required Technical Areas
- Machine Learning: Expertise in machine learning is part of the desired profile for developing intelligent and predictive solutions.
- Generative AI: Knowledge of Generative AI and its application in enterprise solutions is relevant to building GenAI-powered applications and conversational experiences.
- Python: Python development expertise is sought for implementing AI and automation solutions.
- Automation workflows: Familiarity with designing and developing automation workflows is important to the role’s intelligent automation focus.
- Cloud-based AI platforms: The role involves using cloud-based AI platforms, although no specific provider or platform is named in the job description.
- AI agents: The position includes building AI agent solutions as part of enterprise-grade automation and AI applications.
Solution Areas
The job description identifies several types of solutions the engineer may build. These include intelligent document processing, conversational AI, predictive analytics, recommendation engines, AI agents, workflow automation, and applications powered by Generative AI.
These solution areas indicate that the work spans both intelligent application development and the automation of workflows. The role description does not specify particular frameworks, model providers, cloud vendors, databases, or deployment tools, so candidates should refer to the employer’s full posting for any additional technical details.
Collaboration and Delivery
The engineer will work closely with architects, business stakeholders, and engineering teams. This cross-functional collaboration supports the delivery of solutions that address enterprise requirements while accounting for scalability and security.
The role is described as hands-on and innovative, with involvement across the solution lifecycle—from design and development through deployment. The job description does not provide a detailed breakdown of team structure, reporting relationships, or delivery methodology.
Education
The desired candidate profile specifies a Bachelor of Technology (B.Tech) qualification. No particular engineering branch or specialization is stated.
Experience and Eligibility
The provided job description does not state a required number of years of experience or specify whether the role is limited to freshers or experienced candidates. Applicants should review the employer’s full listing for any additional eligibility criteria.
Work Mode and Location
Location: Pune, India. The description does not explicitly mention a remote or hybrid arrangement, so this listing uses the configured onsite default.
Who Should Apply
This opportunity is relevant to B.Tech graduates with expertise in machine learning, Generative AI, Python development, automation workflows, and cloud-based AI platforms. Candidates should be interested in building practical AI solutions across document processing, conversational systems, predictive analytics, recommendations, agent-based applications, and workflow automation.
The role also calls for the ability to collaborate with architects, business stakeholders, and engineering teams while contributing to scalable and secure enterprise solutions. Specific experience thresholds and additional eligibility details are not included in the supplied description.
How to Apply
Review the employer’s job listing and follow its application instructions for this Pune-based opportunity. Apply now through SoftoJobs to explore this opportunity.
Eligibility
Education, passing batch and experience
Education
B.Tech — All Branches
Experience
Not specified (Freshers welcome)
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