
Applied AI ML Lead
4 weeks ago
We are seeking individuals with advanced expertise in Machine Learning (ML) to join our dynamic team.
As an Applied AI ML Lead within our Corporate Sector, you will play a pivotal role in developing machine learning and deep learning solutions, and experimenting with state of the art models. You will contribute to our innovative projects and drive the future of machine learning at AI Technologies. You will use your knowledge of ML tools and algorithms to deliver the right solution. You will be a part of an innovative team, working closely with our product owners, data engineers, and software engineers to build new AI/ML solutions and productionize them. You will also mentor other AI engineers and scientists while fostering a culture of continuous learning and technical excellence. We are looking for someone with a passion for data, ML, and programming, who can build ML solutions at-scale with a hands-on approach with detailed technical acumen.
Job responsibilities
- Serve as a subject matter expert on a wide range of machine learning techniques and optimizations.
- Provide in-depth knowledge of machine learning algorithms, frameworks, and techniques.
- Enhance machine learning workflows through advanced proficiency in large language models (LLMs) and related techniques.
- Conduct experiments using the latest machine learning technologies, analyze results, and tune models.
- Engage in hands-on coding to transition experimental results into production solutions by collaborating with the engineering team, owning end-to-end code development in Python for both proof of concept/experimentation and production-ready solutions.
- Optimize system accuracy and performance by identifying and resolving inefficiencies and bottlenecks, collaborating with product and engineering teams to deliver tailored, science and technology-driven solutions.
- Integrate Generative AI within the machine learning platform using state-of-the-art techniques, driving decisions that influence product design, application functionality, and technical operations and processes
Required qualifications, capabilities, and skills
- Formal training or certification on AI/ML concepts and 5+ years applied experience
- Hans on experience in programming languages, particularly Python.
- Manage to apply data science and machine learning techniques to address business challenges.
- Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
- Expertise in deep learning frameworks such as PyTorch or TensorFlow, and advanced applied ML areas like GPU optimization, finetuning, embedding models, inferencing, prompt engineering, evaluation, and RAG (Similarity Search).
- Manage to complete tasks and projects independently with minimal supervision, with a passion for detail and follow-through.
- Excellent communication skills, team player, and demonstrated leadership in collaborating effectively with engineers, product managers, and other ML practitioners
Preferred qualifications, capabilities, and skills
- Exposure with Ray, MLFlow, and/or other distributed training frameworks.
- MS and/or PhD in Computer Science, Machine Learning, or a related field.
- Understanding of Search/Ranking, Recommender systems, Graph techniques, and other advanced methodologies.
- Familiar in Reinforcement Learning or Meta Learning.
- Understanding of Large Language Model (LLM) techniques, including Agents, Planning, Reasoning, and other related methods.
- Exposure building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.
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 ourFAQsfor more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
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