You are a strategic thinker passionate about driving solutions. You have found the right team.
As an AI/ML Engineer/Data Scientist, you will be responsible for developing and implementing AI/ML solutions to improve quality and productivity in Software Testing , SRE problems and solve complex Technology Operations,. You will work closely with cross-functional teams to understand requirements, design and develop AI/ML models, and deploy them into UAT / production.
Job responsibilities
- 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.
- Train and evaluate AI/ML models to help design test cases , automate coding , design self healing codes , predict defects, identify optimized regression cases, etc.
- 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 qualification, skills and capabilities:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 6-9 years of demonstrated experience in applied AI/ML engineering.
- 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 Software Testing and SRE practices
- 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. Strong problem-solving and analytical skills.
- Excellent communication and collaboration skills. Knowledge of infrastructure operations
Preferred qualification, skills and capabilities:
- 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
- Experience in Automated software testing and Test Automation Frameworks
- Knowledge of large language models (LLMs) , Generative AI and accompanying toolsets the LLM ecosystem (e.g. Langchain, Vector databases, CHATGPT)
- 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.
