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Lead Software Engineer_Applied AI ML Lead

3 months ago

Mumbai, India JPMorgan Chase & Co. Full time
Job description:As Lead Software Engineer in Asset and Wealth management we are seeking an experienced

Applied AI/ML Engineer/Data Scientist Lead

for our team in India. As an Applied AI/ML Engineering Lead, you will be responsible for partnering with your global colleagues and lead the efforts to develop and implement AI/ML solutions to solve complex Technology Operations and SRE problems.We are looking for people who are innovators and passionate about solving business problems through the use of AI/ML. You will work closely with cross-functional teams to understand requirements, design and develop AI/ML models, and deploy them into production.As a Lead, you will also be tasked with keeping the team and key stakeholders up-to-speed on what is being developed, as well as how it will benefit our user base.Responsibilities:- Lead development and deployment of AI/ML Solutions for AWM AIOps Function-Develop and implement AI/ML models and algorithms to solve business problems.- Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.- Train and evaluate AI/ML models using large datasets.- Apply advanced statistical and ML techniques, including predictive modeling, time series analysis, and optimization algorithms, to extract insights from complex data sets.- Optimize and fine-tune AI/ML models for performance and accuracy.- Design and develop data pipelines to preprocess and transform data for AI/ML models.- Continuous Learning: Stay updated with the latest trends and advancements in data science, machine learning, and related fields, and actively seek opportunities to enhance skills and knowledge.Required qualifications, capabilities, and skills- Formal training or certification on software engineering concepts and 5+ years applied experience- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.- 10 + years of strong programming skills in Python, with experience in developing and maintaining production-level code.- Proficiency in working with large datasets and data preprocessing.- Solid understanding of AI/ML algorithms and techniques, including deep learning, time series forecasting and natural language processing.- Experience with cloud platforms, such as AWS for deploying and scaling AI/ML models.- Experience with ETL tools such as Airflow.- Strong problem-solving and analytical skills.- Excellent communication and collaboration skills.- Knowledge of infrastructure operationsPreferred Qualifications:- Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/, web frameworks, APIs, and microservices and possess front-end development skills, including HTML, CSS, and JavaScript- Knowledge of SRE practices- Experience working with AWS EKS, ECS, RDS and DynamoDB.- Knowledge of large language models (LLMs) and accompanying toolsets the LLM ecosystem (. Langchain, Vector databases, opensource Hugging Face Models)- Exposure to cloud automation technologies such as Terraform- Assess and choose suitable LLM tools and models for diverse tasks including but not limited to curating custom datasets and fine-tune LLM with a focus on parameter-efficient, mixture-of-expert, and instruction methods designing and developing advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and Intelligent agents for the LLMs and executing experiments to push the capability limits of LLM models and enhance their dependability.