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Engaged Employer

Wipro

Compare

3.7

based on 52.3k Reviews

Video summary

894 Wipro Jobs

Lab45 - AI-ML Engineer

Wipro Limited

3.7

based on 52.3k Reviews

5-10 years

Bangalore / Bengaluru

Lab45 - AI-ML Engineer

Wipro

posted 14hr ago

Job Role Insights

Flexible timing

Key skills for the job

Digital Marketing Python AWS Biochemistry Artificial Intelligence Machine Learning

+ 13 more

Job Description

Job Title:AI/ML Engineer
Location:Bangalore
Job Type:Full-Time

Introduction :We are seeking a highly skilled and experienced AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in backend development using Python, expertise in LangChain, vector databases, and applied AI using large language models (LLMs), Retrieval-Augmented Generation (RAG), Graph RAG, and other Generative AI applications. This role requires a blend of advanced technical skills in software design, data structures, and coding, coupled with a passion for AI-driven innovation.
Key Responsibilities:
Design, develop, and maintain robust backend systems integrating advanced AI and ML capabilities.
Implement and optimize LangChain for efficient language model chaining and application.
Manage and manipulate data using vector databases to enhance model performance and scalability.
Develop and deploy solutions based on LLMs, RAG, and Graph RAG to solve complex problems and improve user interactions.
Collaborate with cross-functional teams to define clear specifications, deliverables, and timelines.
Stay abreast of industry trends and advancements in AI and ML technologies, applying this knowledge to drive continuous improvement in our solutions.
Write clean, manageable code and maintain proper documentation.
Conduct code reviews, and mentor junior engineers, promoting best practices in software development and AI integration.
Ensure the performance, quality, and responsiveness of applications.

Qualifications:
Bachelor’s or Master’s degree in Computer Science, or a related field.
Proven experience (5+ years) as an Software Engineer with a focus on backend development.
Expertise in Python programming and familiarity with frameworks and libraries relevant to AI and ML.
Strong experience with LangChain, vector databases, and technologies such as MongoDB and Pinecone.
Profound knowledge of LLMs, RAG, Graph RAG, and other Generative AI concepts.
Excellent skills in software design, data structures, and algorithms.
Experience with software development tools including version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines.
Strong analytical and problem-solving skills.
Excellent communication and teamwork skills.

Preferred Skills:
Experience with cloud platforms (AWS, Google Cloud, Azure) and understanding of scalable architecture.
Familiarity with containerization and orchestration technologies (Docker, Kubernetes).

?
Job Title:AI/ML Engineer
Location:Bangalore
Job Type:Full-Time

Introduction :We are seeking a highly skilled and experienced AI/ML Engineer to join our innovative team. The ideal candidate will have a strong background in backend development using Python, expertise in LangChain, vector databases, and applied AI using large language models (LLMs), Retrieval-Augmented Generation (RAG), Graph RAG, and other Generative AI applications. This role requires a blend of advanced technical skills in software design, data structures, and coding, coupled with a passion for AI-driven innovation.
Key Responsibilities:
Design, develop, and maintain robust backend systems integrating advanced AI and ML capabilities.
Implement and optimize LangChain for efficient language model chaining and application.
Manage and manipulate data using vector databases to enhance model performance and scalability.
Develop and deploy solutions based on LLMs, RAG, and Graph RAG to solve complex problems and improve user interactions.
Collaborate with cross-functional teams to define clear specifications, deliverables, and timelines.
Stay abreast of industry trends and advancements in AI and ML technologies, applying this knowledge to drive continuous improvement in our solutions.
Write clean, manageable code and maintain proper documentation.
Conduct code reviews, and mentor junior engineers, promoting best practices in software development and AI integration.
Ensure the performance, quality, and responsiveness of applications.

Qualifications:
Bachelor’s or Master’s degree in Computer Science, or a related field.
Proven experience (5+ years) as an Software Engineer with a focus on backend development.
Expertise in Python programming and familiarity with frameworks and libraries relevant to AI and ML.
Strong experience with LangChain, vector databases, and technologies such as MongoDB and Pinecone.
Profound knowledge of LLMs, RAG, Graph RAG, and other Generative AI concepts.
Excellent skills in software design, data structures, and algorithms.
Experience with software development tools including version control systems (e.g., Git), continuous integration/continuous deployment (CI/CD) pipelines.
Strong analytical and problem-solving skills.
Excellent communication and teamwork skills.

Preferred Skills:
Experience with cloud platforms (AWS, Google Cloud, Azure) and understanding of scalable architecture.
Familiarity with containerization and orchestration technologies (Docker, Kubernetes).

?
2. Provide customer support and problem solving from time to time
Perform defect fixing raised by the client or software integration team while solving the tickets raised
Develop software verification plans and quality assurance procedures for the customer
Troubleshoot, debug and upgrade existing systems on time & with minimum latency and maximum efficiency
Deploy programs and evaluate user feedback for adequate resolution with customer satisfaction
Comply with project plans and industry standards

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3. Ensure reporting & documentation for the client
Ensure weekly, monthly status reports for the clients as per requirements
Maintain documents and create a repository of all design changes, recommendations etc
Maintain time-sheets for the clients
Providing written knowledge transfer/ history of the project

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Deliver

No.
Performance Parameter
Measure 1. Design and develop solutions Adherence to project plan/ schedule, 100% error free on boarding & implementation, throughput % 2. Quality & CSAT On-Time Delivery, minimum corrections, first time right, no major defects post production, 100% compliance of bi-directional traceability matrix, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation