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Imocha
Associate ML & Gen AI Enigneer
Imocha
Pune•On-site•2-5 Yrs•Jun 26
Job description
Overview
Location : Pune, Onsite(WFO)
Responsibilities
- Generative AI Development
- Design and implement applications using large language models (LLMs).
- Optimize prompts using techniques such as Chain of Thought, Few-Shot Learning, and RAG.
- Build scalable APIs and pipelines for GenAI -powered features.
- Machine Learning Engineering
- Build and deploy ML models (classification, regression, recommendation, etc.).
- Apply MLOps practices for model training, testing, deployment, and monitoring.
- Data Engineering
- Build and maintain data pipelines using Python and cloud-native tools.
- Ensure availability, scalability, and quality of data used in AI workflows.
- Work closely with backend and other engineering teams to integrate data systems.
- Model Deployment & Maintenance
- Deploy ML models via APIs, containers, or cloud services.
- Monitor production models and optimize their performance and scalability.
- Generative AI Development
- Design and implement applications using large language models (LLMs).
- Optimize prompts using techniques such as Chain of Thought, Few-Shot Learning, and RAG.
- Build scalable APIs and pipelines for GenAI -powered features.
- Machine Learning Engineering
- Build and deploy ML models (classification, regression, recommendation, etc.).
- Apply MLOps practices for model training, testing, deployment, and monitoring.
- Data Engineering
- Build and maintain data pipelines using Python and cloud-native tools.
- Ensure availability, scalability, and quality of data used in AI workflows.
- Work closely with backend and other engineering teams to integrate data systems.
- Model Deployment & Maintenance
- Deploy ML models via APIs, containers, or cloud services.
- Monitor production models and optimize their performance and scalability.
Qualifications
- Job Summary
- We are seeking an Associate Machine Learning Engineer of exposure and experience in developing AI solutions, including Generative AI, classical ML models, and data engineering pipelines.
- You will play a hands-on role in building and deploying scalable ML and GenAI applications.
- 2 - 3 years of hands-on experience in Machine Learning (ML) and Generative AI.
- Mandatory: At least 1 year of recent experience working on Agentic AI workflows.
- Proficiency in Python and ML/AI frameworks and libraries such as Hugging Face, LangChain , and OpenAI .
- Strong experience in building APIs and deploying AI solutions in production environments.
- Exposure to GenAI and ML/AI projects will be an added advantage.
- Candidates from reputed institutions are preferred (Tier 1 / UGC-approved, NAAC-accredited with A+ grade, and NBA-accredited for all UG programs).
- Exposure to classical ML or DL in production.
- Prior experience in early-stage/startup environments
- Candidates from reputed institutions are preferred (Tier 1 / UGC-approved, NAAC-accredited with A+ grade, and NBA-accredited for all UG programs).
- Understanding of cloud platforms (Azure preferred). Location : Pune, Onsite(WFO)
- Department : Engineering / Data & AI
- Job Summary
- We are seeking an Associate Machine Learning Engineer of exposure and experience in developing AI solutions, including Generative AI, classical ML models, and data engineering pipelines.
- You will play a hands-on role in building and deploying scalable ML and GenAI applications.
- 2 - 3 years of hands-on experience in Machine Learning (ML) and Generative AI.
- Mandatory: At least 1 year of recent experience working on Agentic AI workflows.
- Proficiency in Python and ML/AI frameworks and libraries such as Hugging Face, LangChain , and OpenAI .
- Strong experience in building APIs and deploying AI solutions in production environments.
- Exposure to GenAI and ML/AI projects will be an added advantage.
- Candidates from reputed institutions are preferred (Tier 1 / UGC-approved, NAAC-accredited with A+ grade, and NBA-accredited for all UG programs).
- Exposure to classical ML or DL in production.
- Prior experience in early-stage/startup environments
- Candidates from reputed institutions are preferred (Tier 1 / UGC-approved, NAAC-accredited with A+ grade, and NBA-accredited for all UG programs).
- Understanding of cloud platforms (Azure preferred).