This role is for one of the Weekdays clients
We are seeking a passionate and experienced Senior Machine Learning (ML) Engineer to lead the design development and deployment of cuttingedge Machine Learning and Generative AI solutions aimed at creating an Intelligence Layer for Consumer Finance.
Responsibilities:
- ML Algorithm Development: Design and implement advanced ML algorithms utilizing traditional Machine Learning techniques and modern NLP stacks including Large Language Models (LLMs).
- Data Engineering & Software Development: Architect and implement data pipelines for ML model training. Lead the development of scalable software systems to deploy ML models in production ensuring high performance and reliability.
- Research & Innovation: Stay current with ML research and the evolving Generative AI landscape identifying opportunities for innovation.
- Collaboration & Leadership: Collaborate effectively with crossfunctional teams to deliver highquality solutions on time. Mentor team members and guide contributions to ML design discussions for new projects.
Requirements:
- Extensive experience (45 years) in software development focusing on machine learning and data science within a technology company.
- Proven track record of delivering highquality ML products in a fastpaced agile environment.
- Deep understanding of machine learning algorithms with handson experience in developing and deploying machine learning models at scale.
- Strong coding skills in Python with familiarity in machine learning libraries such as PyTorch and scikitlearn. Experience with data manipulation and analysis tools like Pandas and Spark.
- Excellent communication and leadership skills with the ability to collaborate effectively with crossfunctional teams and mentor junior engineers.
- Willingness to work in person at our Thane office.
Preferred Qualifications:
- Experience in training and utilizing Large Language Models (e.g. BERT LLAMA GPT) and a passion for applying Generative AI solutions in production environments.
- Experience with cloud services (AWS) and building scalable distributed systems.
data engineering,machine learning,models,natural language processing (nlp),cloud services (aws),pytorch,large language models (llms),pandas,algorithms,spark,ml,python,generative ai,scikit-learn