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Pune · On-site · 1-4 Yrs · Oct 11
8 open roles0 posted in 7d8 in 30d
Hiring: Engineering
Job description
Overview
Organization Overview: ML Solutions team within Markets OPS Technology is dedicated to developing solutions using Artificial Intelligence, Machine Learning and Generative AI.
Responsibilities
- Hands-On Execution and Delivery: Actively contribute to the development and delivery of AI solutions, driving innovation and excellence within the team. Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks.
- Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation.
- Research and Development: Participate in research activities to explore and advance state-of-the-art generative AI techniques. Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field.
- Cross-Functional Collaboration: Collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services.
- 1-3 years of relevant experience
- Strong hands-on experience in Machine Learning, delivering complex solutions to production.
- Experience with Generative AI technologies essential.
- Knowledge of NLP, Name Entity Recognition
- In-depth knowledge of deep learning and Generative AI frameworks such as, Langchain, Lang Graph, Crew AI or similar.
- Experience with and other open-source frameworks/ libraries/ APIs like Hugging Face Transformers, Spacy, Pandas, scikit-learn, NumPy.
- Experience in using Machine Learning/Deep Learning: XGBoost, LightGBM, TensorFlow, PyTorch.
- Proficiency in Python Software Development, following Object-Oriented design patterns and best practices.
- Strong background in mathematics: linear algebra, probability, statistics, and optimization.
- Experience with evaluation, scoring with framework like ML Flow
- Experience of Docker container and edited a Docker file, experience with K8s is a plus.
- Experience with Postgres and Vector DBs a plus.
- Excellent problem-solving skills and the ability to think creatively.
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Publications and contributions to the AI research community are a plus.
- Bachelor’s/Master’s degree or equivalent experience in Computer Science, Data Science, Statistics, or a related field.
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Job application FAQ
Last updated 15 October 2026
- How do I apply for Machine Learning with Gen AI at Early Career?
- 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. Early Career may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Machine Learning with Gen AI 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 Machine Learning with Gen AI 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 Machine Learning with Gen AI role at Early Career?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.