Applied AI/ML - Senior Associate

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements (maybe combine Required Qualifications, Capabilities, And Skills), maybe Skills, Benefits, Pay, Schedule only if present. The posting includes "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..." That's about pay/benefits. Also benefits listed: 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. So we have Benefits and Pay sections. Schedule not mentioned, so omit. We need to use

for section headings. Use

• for any list of duties/requirements/benefits. Use

  for prose. Do not repeat job title as heading. Do not put Job ID etc. We must preserve all substantive information, not invent or summarize away detail. Remove boilerplate: cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, application instructions. Also remove "About Us" maybe? It's substantive about company but could be considered boilerplate? The instruction: remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. "About Us" is not explicitly prohibited, but it's generic company description; might be considered boilerplate? However it's substantive about the firm. The instruction says preserve ALL substantive information; do NOT invent or summarize away detail. So we should keep About Us content as it's substantive. But we need to decide where to place it. Could be a section "About the company" but not in allowed headings list. The allowed headings list includes About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. So we should map content to those headings. About Us could go under "About the role"? Not exactly. Maybe we can omit About Us as it's not required heading; but we must preserve substantive info. However we could incorporate some of it into a

  under "About the role" or maybe not include a heading for it. The instruction: "Prefer a few substantive sections over many thin ones." So we could include About the role section containing the initial description about the role and team. The "About Us" could be considered part of "About the role" or maybe we can add a section "About the company" but not allowed. Safer to incorporate into About the role paragraph. We need to extract responsibilities list: bullet-like sentences separated by periods. We'll create

  • for each duty. Responsibilities list from text: - Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using AIML, Agentic/GenAI frameworks in a fast-paced environment. - Hands on experience in working on LLMs and agentic frameworks, such as Langchain/LangGraph and similar technologies. - Developing AI/ML and Gen AI/ Agentic AI solutions to address impactful business needs. - Hands on experience in all machine learning techniques, supervised, unsupervised, and semi-supervised techniques. - Strong experience in natural language processing (NLP) and its applications. - Solid coding level in Python programming language, with experience in leveraging available libraries, like Tensorflow, Keras, Pytorch, Scikit-learn, or others, to dedicated projects. - Working with other team members to productionize end-to-end AI/ML solutions. - Engaging in research and development of innovative relevant solutions. - Coaching and mentoring other AI/ML team members towards both personal and professional success - Collaborating with other teams across the firm to attain the mission and vision of the team and the firm. - Engaging with stakeholders and understanding business requirements. - Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without escalation. Note some duplicates: "Engaging with stakeholders and understanding business requirements." appears also earlier? Actually earlier "Collaborate with cross-functional teams to identify business requirements..." similar but okay. We'll keep them. Required Qualifications, Capabilities, And Skills list: - Advanced degree in Computer Science, Data Science, Mathematics, or a related field. - 5+ years of applied experience in data science, machine learning, or related areas. - Strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data. - Experience LLM Orchestration and Agentic AI libraries - Proficiency in using GenAI models (OpenAI or similar) to solve business problems. - Experience in building AI Agents, Agentic frameworks. - Experience in building and managing data lakes and data processing workflows using Databricks. - Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality. - Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders. - Strong troubleshooting and problem-solving skills. - Fast learner with the ability to quickly develop Proof of Concepts and advance them to production. Note duplicate problem-solving skills; we can keep both or combine? We should preserve all substantive info; duplicates okay but maybe we can keep both as separate items. Preferred Qualifications list: - Understanding of AWS component. - Experience integrating AI/ML models into data pipelines is a plus. - Experience with version control (Git) and CI/CD pipelines. - Experience in PySpark is a plus. - Financial service background Benefits list: - 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 Pay info: "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 can put that in a

    under Pay section. Schedule: none. Now we need to output HTML fragment only, no /. Use headings

    for each section. Order: About the role, Responsibilities, Requirements (maybe combine Required Qualifications), Skills? Could separate Required Qualifications and Skills but we have both required and preferred. Could have sections: Requirements (required), Preferred Qualifications, Skills (maybe combine). But we have Skills listed in responsibilities? Actually responsibilities include skills. But we can have a Skills section for technical skills: Python, PySpark, etc. However we already have those in qualifications. To avoid thin sections, we can combine Required Qualifications and Skills into one "Requirements" section, and Preferred Qualifications into another maybe "Preferred Qualifications". But the allowed headings include Qualifications, Skills. We could use "Requirements" for required qualifications, and "Skills" for technical skills (Python, PySpark, etc). But we have both required and preferred. Let's decide: - About the role: introductory paragraph. - Responsibilities: list. - Requirements: list of required qualifications (advanced degree, 5+ years, Python, PySpark, etc). Could also include problem-solving etc. - Skills: maybe list of specific technical skills: Python, PySpark, Spark SQL, Tensorflow, Keras, Pytorch, Scikit-learn, LLM Orchestration, Agentic AI libraries, GenAI models, AI Agents, Databricks, Co-Pilot, AWS, Git, CI/CD, etc. But that duplicates. Might be thin. Better to follow the instruction: "Prefer a few substantive sections over many thin ones." So we can have About the role, Responsibilities, Requirements (covering both required and preferred), Benefits, Pay. That's 5 sections. We need to include only sections with real content. We'll omit Skills if we merge into Requirements. Thus sections:

    About the role

    ...

    Responsibilities

    • ...
    ...

    Requirements

    • ... (required qualifications)
    ...
    Maybe also include preferred qualifications within same list? Could separate with a note? But we can include both required and preferred in same list, but we need to differentiate? Not required. We'll just list all qualifications (required and preferred) as items. But we must preserve all substantive info; we can include both required and preferred as separate items, maybe with a note "(Preferred)" but that adds info not present. Better to keep them separate: we could have two subsections? Not allowed headings. Could just list required then preferred as separate items but we lose distinction. However the instruction says preserve ALL substantive information; not necessarily preserve the distinction between required and preferred. But it's substantive info that some are preferred. Might be okay to lose? Safer to keep them separate by adding a note like "(Preferred)" but that's adding info not in original. Not allowed. So we need to keep them as separate sections maybe "Required Qualifications" and "Preferred Qualifications". Those are allowed headings? The list includes Qualifications, Skills. Not exactly "Required Qualifications". But we could use "Qualifications" for required, and maybe another heading "Preferred Qualifications" not in list but we could still use? The instruction says use

    for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). It gives examples but not exhaustive; we could still use other headings? It says "use

    for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule)." That implies we should stick to those headings. So we should not create a heading like "Preferred Qualifications". We could incorporate preferred qualifications under "Qualifications" but maybe add a note like "Preferred:" inside the list item? That's adding text not present. Could we include them as separate list items without labeling? That loses the preferred distinction but maybe acceptable. However the instruction says preserve ALL substantive information; the distinction between required and preferred is substantive. So we need to keep it. Perhaps we can have two sections: "Qualifications" for required, and "Skills" for preferred? Not accurate. Alternative: we could have a section "Qualifications" containing required qualifications, and then a separate section "Skills" containing preferred qualifications (since many preferred are skills like AWS, Git, CI/CD, PySpark, Financial service background). That might be acceptable: Skills section can contain both technical and domain skills. The preferred qualifications include understanding of AWS component, experience integrating AI/ML models into data pipelines, experience with version control (Git) and CI/CD pipelines, experience in PySpark is a plus, Financial service background. Those can go under Skills. Thus: - About the role - Responsibilities - Qualifications (required) - Skills (preferred) - Benefits - Pay Check if any other sections: maybe "About the team" but we can incorporate into About the role. Now we need to extract required qualifications list precisely: - Advanced degree in Computer Science, Data Science, Mathematics, or a related field. - 5+ years of applied experience in data science, machine learning, or related areas. - Strong programming skills in Python with experience in PySpark, Spark SQL, and manipulating data. - Experience LLM Orchestration and Agentic AI libraries - Proficiency in using GenAI models (OpenAI or similar) to solve business problems. - Experience in building AI Agents, Agentic frameworks. - Experience in building and managing data lakes and data processing workflows using Databricks. - Ability to leverage AI agents and tools, such as Co-Pilot, to enhance productivity and code quality. - Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders. - Strong troubleshooting and problem-solving skills. - Fast learner with the ability to quickly develop Proof of Concepts and advance them to production. We could combine duplicate problem-solving skills into one item: "Excellent problem-solving skills and the ability to communicate ideas and results clearly to stakeholders; strong troubleshooting and problem-solving skills."