₹16L – ₹22L/yr
Salary not disclosed
Check market pay for comparable Machine Learning Engineer roles before applying.
Role overview
Job description
About Techdome Techdome Solutions Pvt. Ltd. is a technology consultancy and product engineering company founded in 2020 and headquartered in Indore. We design, build and run AI-powered, cloud-native platforms across data engineering, machine learning, cloud, automation, CRM and enterprise platforms. Our own products include JustInterview.ai and Catalyst ERP, and we serve clients from startups to large enterprises worldwide. Why join us: work on global client programs and our own products, a fast-growing team, ownership from day one, and recognition as Madhya Pradesh Best Employer Brand 2026. Job Details Experience: 5–12 years Notice Period: Immediate joiners only Locations: Hyderabad, Indore, Noida, Delhi, Mumbai ,Remote Employment Type: Full-time, permanent Work Mode: Work from office Education: B.E./B.Tech/MCA or equivalent in Computer Science, IT or a related field How to Apply : Shar
…About this listing
- Source: Techdome's official careers site (via Keka) · last confirmed on the source 30 Oct 2026
- Posted 29 Oct 2026
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Role market pulse
How Machine Learning Engineer demand looks in India
Live jobs
28
Posted 30d
7
30d movement
-41.7%
Remote share
28.6%
Salary listed
17.9%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
B.E./B.Tech/MCA or equivalent in Computer Science, IT or a related field How to Apply : Share your updated CV with current CTC, expected CTC and notice period / last working day. We are looking for an AI/ML Engineer to build and deploy machine learning and Generative AI solutions, from model development to production-grade AI applications. Key Responsibilities: Design, train, evaluate and deploy ML and deep learning models for real business problems. Build Generative AI applications using LLMs, including RAG pipelines, AI agents, prompt engineering and fine-tuning. Work with frameworks such as LangChain, LlamaIndex and vector databases (Pinecone, FAISS, Weaviate, pgvector). Develop data preprocessing, feature engineering and model training pipelines. Deploy models as scalable APIs and services; set up MLOps practices for versioning, monitoring and retraining. Evaluate model performance, accuracy, latency and cost, and optimise accordingly. Work with product, data and engineering teams to take AI features from proof of concept to production.
Department · Engineering
Hiring company
Techdome
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