Lead Machine Learning Engineer

Conga; Bengaluru; On-site; INR 6,000,000 - 8,000,000; Full time

Job summary

Conga in Bengaluru seeks Staff Machine Learning Engineer to lead end-to-end ML initiatives, architect scalable AI solutions, and partner with product teams.

This leadership role requires 8+ years in industry with 5+ years in AI/ML, strong Python, TensorFlow/PyTorch, and hands-on experience with transformer models, NLP for enterprise contexts.

Qualifications

• 8+ years in the industry with 5+ years in AI/ML design, development and deployment.
• Strong coding proficiency and production ML experience.
• Experience with transformer models and NLP for enterprise apps.
• Ability to architect end-to-end ML solutions and mentor others.

Responsibilities

• Own and architect end-to-end ML/AI solutions aligned with business goals.
• Coordinate cross-team efforts with Engineering and PMs.
• Mentor team members and review code for best practices.
• Deploy models into production and monitor performance.
• Lead cross-functional initiatives with stakeholders.

Skills

Python

TensorFlow

PyTorch

XGBoost

Scikit-learn

Spark ML

MLFlow

Git

HuggingFace

NLP / LLM

Education

PhD in ML (preferred)

Tools

Azure

Databricks

Spark

Pandas

HuggingFace

Git

MLFlow

Job description

Job Title: Staff Machine Learning Engineer

Locations: Bangalore

Reports to: Director

A quick snapshot

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.

Why its a big deal

This is a critical role for the department as it balances technical implementation with project leadership, leading small to medium-sized initiatives while owning specific components in a Machine Learning solution and mentoring with their expertise.

Are you the person were looking for?

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 clear 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

Here's what will give you an edge

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.

Having 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