Job Summary

Job Title: Staff Machine Learning Engineer. Locations: Bangalore. Reports to: Director.

This leadership role drives strategic decision-making and broad organizational impact by overseeing multiple projects and aligning ML initiatives with business goals. Responsibilities include owning and architecting end-to-end ML/AI solutions, integrating models into business applications, and managing larger machine learning solutions. The position exists to coordinate cross-team efforts, ensuring scalable and effective AI implementations with Engineering and PMs.

Responsibilities

- This leadership role drives strategic decision-making and broad organizational impact by overseeing multiple projects and aligning ML initiatives with business goals.
- Responsibilities include owning and architecting end-to-end ML/AI solutions, integrating models into business applications, and managing larger machine learning solutions.
- The position exists to coordinate cross-team efforts, ensuring scalable and effective AI implementations with Engineering and PMs.

Requirements

- Experience. You should have overall more than 8 years of industry experience with more than 5 years in AI/ML solutions and leading the design, development, and deployment of ML models while maintaining expert-level coding proficiency (20%).
- Optimization. You are good at ML solutions, especially in Machine Learning and optimizing it by ensuring best practices through code reviews and mentorship, fostering technical excellence across the team (15%). You know how to optimize -and support production systems, enhance performance, scalability, and reliability of machine learning solutions (15%).
- Collaboration. You know how to collaborate with Product Managers, scientists, and cross-functional teams to gather requirements, align on objectives, and drive seamless communication for project execution (25%).
- Managing project. You deliver high-quality solutions by creating explicit workflows,



ensuring timely delivery, and representing the Science team in Operations meetings (25%).
- Proficiency. You are proficient in Python programming, Manage ML Libraries and TensorFlow, PyTorch, XgBoost, Scikit-learn, Spark ML and code/model versioning in Git, MLFlow.
- You also have proficiency either in Named Entity Recognition/Ontology OR Document search using BM25, Vector search and Re-rankers OR Recommendation systems collaborative filtering, content-based and hybrid approaches, two-tower architecture, and learning-to-rank
- Platforms. You have worked on Cloud computing platforms like Azure, databricks and know well to work on data analytics tool like Spark and Pandas.
- Transformer models. You have Hands-on experience in fine-tuning transformer models (BERT, RoBERTa, LegalBERT, DeBERTa) using the HuggingFace ecosystem including PEFT/LoRA

Preferred Qualifications

- Architecture. You are proficient in Architecting and designing end-to-end ML solutions, e.g. can take a one-sentence business requirement and design the end-to-end SM to satisfy such requirement.
- Track Record. You have strong track record of success in leading ML/AI initiatives from concept to completion
- Added advantage. Prior exposure to NLP applications in the legal domain, such as named entity recognition, document classification, or semantic search over legal corpora will be an added advantage including any AI/ML related certifications.
- Good to have. It is good if you can Demonstrate advanced proficiency in applying AI tools to generate insights, optimize workflows, and support strategic decisions. Actively promotes ethical AI use and mentors others on best practices
- Highly preferred. The Ph.D. degree in ML will be highly preferred

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Staff Machine Learning Engineer (Karnataka)
🏢 Conga
📍 Karnataka