Are you looking for an exciting opportunity to solve exciting business problems in the domain of Network infrastructure? You will be expected to apply your strong curiosity for data and your proven track record of successfully applying rigorous scientific methods with a proficiency in ML Engineering and DevOps capabilities. This is a unique opportunity to apply your interdisciplinary skills and have a direct impact on global business. 

As an Applied AI/ML Lead within our dynamic team, you will spearhead the development and implementation of AI/ML solutions to address intricate business challenges. This role offers an exciting platform to utilize your keen interest in data, your expertise in ML Engineering and DevOps, and your multifaceted skills to make a significant impact on global business. You will work in collaboration with cross-functional teams, design and develop AI/ML models, and oversee their deployment into production, all while handling vast amounts of data.

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.

- Design and develop data pipelines to preprocess and transform data for AI/ML models.

- Train and evaluate AI/ML models using large datasets.

- Optimize and fine-tune AI/ML models for performance and accuracy.

- Deploy AI/ML models into production environments.

- Monitor and maintain deployed models, ensuring their performance and reliability.

- Stay up-to-date with the latest advancements in AI/ML technologies and techniques.

- Be responsible for designing graph data models specifically for algorithm optimization.

- Be responsible for designing and adding the data from the physical and logical infrastructure components and their relationships.

- Developing and implementing data ETL pipelines within AWS 

Required qualifications, capabilities, and skills:

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

- Atleast 5 years of demonstrated experience in applied AI/ML engineering.

- Strong programming skills in Python, with experience in developing and maintaining production-level code.

- Experience with designing and implementing graph databases, such as Amazon Neptune, TigerGraph.

- Proficiency in working with large datasets and data preprocessing.

- Solid understanding of AI/ML algorithms and techniques, including deep learning, reinforcement learning, and natural language processing.

- Familiarity with AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, and Keras.

- Experience in creating infrastructure graph data models

- Experience with cloud platforms, such as AWS or Azure, for deploying and scaling AI/ML models.

- Experience with ETL tools such as Airflow, and Jenkins. Strong problem-solving and analytical skills.

- Excellent communication and collaboration skills. Knowledge of infrastructure operations

Preferred Qualifications, capabilities and skills

- Experience with distributed computing frameworks, such as Apache Spark.

- Knowledge of graph-based AI/ML algorithms and techniques.

- Familiarity with DevOps practices for AI/ML model deployment and monitoring.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans