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 operations
Preferred Qualifications:
- Experience in backend development, including databases (SQL/NoSQL/Graph), programming languages (Python/Java/Node.js), 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 (e.g. 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.
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
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