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Archer
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Pune · On-site · 5-8 Yrs · Oct 30
3 open roles0 posted in 7d3 in 30d
Hiring: Engineering
Job description
Overview
Archer is collaborating with Accenture to connect them with exceptional professionals for this role.
Responsibilities
- Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality.
- Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate knowledge sharing and mentorship within the team to enhance overall skill levels.
- Evaluate and implement best practices in AI and machine learning to improve project outcomes.
- Must To Have Skills: Proficiency in AWS AI Services.
- Good To Have Skills: Experience with AI Agents & Workflow Integration, Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation, Kubernetes, GitLab CI/CD, Infrastructure As Code (IaC), DevOps, Machine Learning Operations, Prometheus Event Monitoring System, Grafana, Elastic Stack (ELK), Data Observability, SRE Observability
- Strong understanding of cloud computing principles and architecture.
- Experience in developing and deploying machine learning models in production environments.
- Familiarity with data preprocessing and feature engineering techniques.
- The candidate should have minimum 7.5 years of experience in AWS AI Services.
- This position is based at our Pune office.
- A 15 years full time education is required.
- 15 years full time education
Qualifications
- AWS AI Services
Nice to have
- Large Language Models (LLMs), GitHub, Machine Learning Operations
- Year(s) Of Experience Is Required
Education
- 15 years full time education
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Job application FAQ
Last updated 2 November 2026
- How do I apply for AI / ML Engineer (AWS AI Services, 5-7 yrs) at Archer?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Archer may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI / ML Engineer (AWS AI Services, 5-7 yrs) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI / ML Engineer (AWS AI Services, 5-7 yrs) remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this AI / ML Engineer (AWS AI Services, 5-7 yrs) role at Archer?
- This is a mid-level AI / ML Engineer (AWS AI Services, 5-7 yrs) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.