Job Summary: We are seeking a highly skilled and versatile Senior AIML/GenAI Lead who embodies the rare combination of a strong software engineer a pragmatic data scientist and an expert in building robust scalable ML applications. Experience in Gen AI LLM ML/DL/NLP RAG Lang chain Mistral Llama Hugging Face Python TensorFlow Pytorch Django Vector DB. This role is critical to our mission bridging the gap between cutting-edge ML research and robust production-ready systems.
Key Responsibilities:
- ML Model Development & Optimization: Experience in developing and implementing generative AI models and algorithms. Collaborate with Data Scientists to understand business problems explore data develop train and evaluate machine learning models (e.g. supervised unsupervised deep learning reinforcement learning). Optimize models for performance efficiency and interpretability.
- End-to-End ML Application Development: Lead the design development and deployment of machine learning models and intelligent systems into production environments ensuring they are robust scalable and performant.
- Software Design & Architecture: Apply strong software engineering principles to design and build clean modular testable and maintainable ML pipelines APIs and services. Contribute significantly to the architectural decisions for our ML platform and applications.
- Data Engineering for ML:
Design and implement data pipelines for feature engineering data transformation and data versioning to support ML model training and inference.
- Performance & Scalability: Identify and resolve performance bottlenecks in ML systems. Ensure the scalability and reliability of deployed models under varying load conditions.
- Collaboration & Mentorship: Work closely with cross-functional teams including Data Scientists Software Engineers Product Managers and DevOps to integrate ML solutions seamlessly into our products. Potentially mentor junior engineers on best practices in ML engineering and software design.
- Research & Innovation: Stay abreast of the latest advancements in machine learning MLOps and related technologies. Propose and experiment with new techniques and tools to improve our ML capabilities.
- Documentation: Create clear and comprehensive documentation for ML models pipelines and services.
Required Qualifications:
- Education: Masters degree in computer science Machine Learning Data Science Electrical Engineering or a related quantitative field.
- Experience:
10 years of professional experience in Machine Learning Engineering Software Engineering with a strong ML focus or a similar role.
- Valuable to have Programming Skills: Proficiency in Python including experience with writing production-grade clean efficient and well-documented code. Experience with other languages (e.g. Java Go C) is a plus.
- Strong Software Engineering Fundamentals: Deep understanding of software design patterns data structures algorithms object-oriented programming and distributed systems.
- Must have Machine Learning Expertise:
- Solid theoretical and practical understanding of various machine learning algorithms
- Proficiency with ML frameworks such as PyTorch Scikit-learn.
- Experience with feature engineering model evaluation metrics and hyperparameter tuning.
- Data Handling: Experience with SQL and NoSQL databases data warehousing concepts and processing large datasets.
- Problem-Solving: Excellent analytical and problem-solving skills with a pragmatic approach to delivering solutions.
- Communication: Strong verbal and written communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
Preferred Qualifications:
- Masters or Ph.D. in a relevant field.
- Contributions to open-source projects or a strong portfolio of personal projects.
- Experience with A/B testing and experimental design for ML models.
- Knowledge of data governance privacy and security best practices in ML.
If you are excited to grab this opportunity please apply directly or share your CV at and
📌 Sr AIMLGenAI LeadArchitect (Bengaluru)
🏢 Maneva Consulting
📍 Bengaluru
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