Explore 3 python cloud platform developer jobs from 3 hiring companies in Hyde Park, NY, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Cloud Platform Developer Jobs

Louis Dreyfus Company

Regeneron

The Hartford

Onsite

Hybrid

The Data Enablement and Analytics (DEA) team within the PAPD (Product, Analytics and Process Development) organization drives PAPD’s digital transformation by making data usable, useful, and impactful in support of our mission of Transforming Therapeutic Molecules into Products for a Diversified Pipeline. We are seeking a hands-on Artificial Intelligence (AI), Machine learning (ML) and Advanced Analytics Leader to design, build, and deploy cutting-edge AI/ML solutions that accelerate PAPD’s mission. The Senior Staff Engineer combines deep technical expertise with architectural leadership, cross-functional collaboration, and team mentorship. The ideal candidate thrives at the intersection of science, data, and technology, and is passionate about driving innovation across PAPD.A Typical Day in the Role May Involve Aspects Of:AI/ML &amp; GenAI Development<ul><li>Design and develop end-to-end AI/ML and Generative AI solutions, including LLM applications, RAG pipelines, and multimodal Agentic AI systems.  </li><li>Contribute hands-on to prototyping, experimentation, model development, and production deployment.</li><li>Evaluate emerging GenAI tools, frameworks, and architectural patterns, recommending their adoption where appropriate.</li></ul>Deliver Data Science Solutions<ul><li>Build and deploy advanced data science models for diagnostic, predictive, and prescriptive use cases supporting PAPD scientific and operational workflows.</li><li>Apply statistical modeling, multivariate analysis, machine learning, time-series forecasting, feature engineering, and optimization methods to solve complex scientific and process challenges.</li><li>Collaborate with process scientists to design experiments, analyze process data, and translate insights into actionable recommendations.</li><li>Promote rigorous scientific methodology and strong statistical foundations across modeling efforts.</li></ul>Architecture &amp; Cross-Functional Collaboration<ul><li>Partner with IT, Data Engineering, Other teams and departments, PAPD scientists, and analytics teams to define solution architectures and integrate models into enterprise workflows.</li><li>Translate scientific and operational challenges into scalable AI/ML solutions with clear business value.</li><li>Influence PAPD’s digitalization roadmap and contribute to long-term AI strategy.</li><li>Establish and champion best practices for model development, validation, MLOps, and responsible AI.</li></ul>Team Leadership &amp; Mentorship<ul><li>Manage and mentor a team of data scientists and AI engineers.</li><li>Provide technical guidance, project oversight, and code reviews.</li><li>Support decentralized analytics (e.g., citizen data scientists) by providing frameworks, tools, and best practices.</li></ul>Thought Leadership &amp; Innovation<ul><li>Stay current with advancements in AI/ML and GenAI, bringing forward opportunities for automation, decision support, knowledge management, and efficiency gains.</li><li>Lead or contribute to ideation sessions, proof-of-concepts, and Agile delivery initiatives across PAPD.</li></ul>Minimum Qualifications<ul><li>Ph.D. with 5&#43; years OR Master’s with 8&#43; years in Computer Science, Data Science, Data Engineering, Applied Mathematics, Bioinformatics, or related discipline.</li><li>Hands‑on experience building and deploying ML and GenAI models (e.g., deep learning, NLP, LLMs, RAG, multimodal models).</li><li>Strong programming proficiency in Python and familiarity with ML/GenAI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, vector databases).</li><li>Experience deploying solutions on cloud analytics platforms (Databricks/Dataiku/Azure/AWS).</li><li>Proven ability to communicate complex technical concepts to diverse stakeholders.</li><li>Demonstrated experience managing and coaching team members.</li></ul><div></div>Preferred Qualifications<ul><li>Experience in biopharma, process development, or scientific/operational analytics.</li><li>Knowledge of mechanistic, empirical, or hybrid modeling approaches.</li><li>Familiarity with PAT, chemometrics, multivariate analysis, or process analytics.</li><li>Experience with MLOps, CI/CD, containerization, API development, and distributed computing.</li></ul><div></div>Core Competencies<ul><li>Technical Leadership &amp; Innovation</li><li>Strategic Thinking</li><li>Cross-Functional Collaboration</li><li>Communication &amp; Influence</li><li>Ownership &amp; Delivery</li></ul><div><div><div><div><div><div><div>Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location.  In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/.  For other countries’ specific benefits, please speak to your recruiter. Please be advised that at Regeneron, we believe we are most successful and work best when we are together.  For that reason, many of Regeneron’s roles are required to be performed on-site.  Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location.  Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company&#39;s business.For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions.  For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.Please note that certain background checks will form part of the recruitment process.  Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.Salary Range (annually)</div></div></div></div></div></div></div>$150,500.00 - $245,500.00

Sr Staff Engineer, AI and Advanced Analytics

Staff Engineer

PhD with 5+ years or Master’s with 8+ years in CS/DS/Math; hands-on ML/GenAI; Python; cloud platforms; leadership.

Sr Staff Data Engineer - GE07DEWe’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.            Join our team as a Senior Staff AI Data Engineer and lead the charge in developing cutting-edge AI solutions and data engineering strategies. Embrace our core values of innovation, collaboration, and excellence as you unlock unparalleled growth opportunities in the dynamic field of AI and data engineering. Shape the future of technology with us!  Apply now to be part of our innovative journey and make a significant impact!This role will have a Hybrid work schedule, with the expectation of working in an office location (Hartford, CT; Danbury, CT; Chicago, IL; Columbus, OH; and Charlotte, NC) 3 days a week (Tuesday through Thursday).Primary Job Responsibilities<ul><li>AI Data Engineering lead responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready.</li><li>Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.</li><li>Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.</li><li>Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions.</li><li>Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems.</li><li>Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as SnowPipe.</li><li>Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc</li><li>Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management.</li><li>Implement best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies.</li><li>Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems.</li><li>Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.</li><li>Develop graph database solution for complex data relationships supporting AI systems.</li><li>Apply GenAI solutions to insurance-specific data use cases and challenges.</li><li>Partner with architects and stakeholders to influence and implement the vision of the AI and data  pipelines while safeguarding the integrity and scalability of the environment.</li></ul>Skills<ul><li>Strong Technical Knowledge (AI solution leveraging Cloud and modern solutions)</li><li>Able to communicate effectively with both technical and non-technical teams and influence</li><li>Collaboration across teams, decision making, conflict resolution and relationship building skills.</li><li>Experience in mentoring and developing Junior AI or Data Engineers.</li><li>Knowledge of evolving industry design patterns for AI.</li><li>Strong planning, organization, and execution skills.</li><li>Ability to provide Thought Leadership to dynamic and collaborative teams, demonstrating excellent interpersonal skills and time management capabilities.</li><li>Ability to understand and align deliverables to the departmental and organization strategies and objectives.</li><li>Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working.</li><li>Leader and team player with a transformation mindset.</li><li>Ability to translate complex technical topics into business solutions and strategies, as well as turn business requirements into a technical solution. </li></ul>Qualifications<ul><li>Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</li><li>Bachelor&#39;s in Computer Science, Artificial Intelligence, or a related field.</li><li>8&#43; years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Python/Spark, Datamesh or Data Fabric.</li><li>1&#43; years of data engineering experience focused on supporting Generative AI technologies</li><li>Strong hands-on experience implementing production ready enterprise grade GenAI data solutions.</li><li>Experience with prompt engineering techniques for large language models.</li><li>Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.</li><li>Experience of vector databases and graph databases, including implementation and optimization.</li><li>Experience in processing and leveraging unstructured data for GenAI applications.</li><li>Proficiency in implementing scalable AI driven data systems supporting agentic solution (AWS Lambda, S3, EC2, Lang chain, Langgraph).</li><li>Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow.</li><li>Experience with building AI pipelines that bring together structured, semi-structured and unstructured data.  This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions.</li><li>Experience in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.).</li><li>Experience in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform.</li><li>Experience with cloud platforms (AWS or GCP or Azure)</li><li>Strong written and verbal communication skills and ability to explain technical concepts to various stakeholders.</li></ul>Preferred Qualifications:<ul><li>Experience in multi cloud hybrid AI solutions.</li><li>AI Certifications</li><li>Experience in P&amp;C industry</li><li>Knowledge of natural language processing (NLP) and computer vision technologies.</li><li>Contributions to open-source AI projects or research publications in the field of Generative AI.</li></ul>CompensationThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:$135,040 - $202,560Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age<a href="https://www.thehartford.com/about-us" target="_blank">About Us</a> | <a href="https://www.thehartford.com/about-us/corporate-culture" target="_blank">Our Culture</a> | <a href="https://www.thehartford.com/careers/our-employees" target="_blank">What It’s Like to Work Here</a> | <a href="https://www.thehartford.com/careers/benefits" target="_blank">Perks &amp; Benefits</a>

Senior Staff AI Data Engineer - Hybrid

Senior Staff AI Data Engineer

8+ years data engineering; GenAI; Python; Snowflake; ETL/ELT; CI/CD; RAG pipelines; cloud platforms.

Company Description:Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally.Job Description:This position is not eligible for sponsorship.Employment eligibility is limited to individuals who are authorized to work in the United States on a PERMANENT, UNRESTRICTED BASIS. This position does not support any form of visa sponsorship or work authorization, now or in the future.LDC is seeking a talented Data Engineer to join our expanding team of&#xa0;Data&#xa0;Analytics and AI. In this role,&#xa0;you'll&#xa0;architect and implement innovative data solutions that directly&#xa0;impact&#xa0;business decision-making and operational efficiency.&#xa0;As a data engineer at LDC,&#xa0;you'll&#xa0;work at the forefront of agricultural technology, building scalable data&#xa0;pipelines&#xa0;and AI-powered analytics solutions.&#xa0;You'll&#xa0;collaborate with diverse datasets—from satellite imagery and weather forecasts to market data and proprietary trading information—transforming raw data into actionable intelligence that powers our business.&#xa0;Duties &amp; Responsibilities&#xa0;Data Engineering &amp; Infrastructure&#xa0;<ul><li>Design, build, and&#xa0;maintain&#xa0;scalable data pipelines and ETL/ELT workflows using modern cloud-native architectures&#xa0;</li><li>Design and implement robust software solutions in Python, focusing on scalability, performance, and reliability. &#xa0;</li><li>Schedule and automate workflows, enhancing operational efficiency and accuracy. &#xa0;</li><li>Collaborate in the development and maintenance of cloud-based infrastructure, applying best practices in DevOps to ensure high data availability and scalability.</li><li>Work closely with data scientists, quantitative researchers, and trading teams to understand their data needs, providing technical solutions that enable effective data analysis and strategy implementation.</li><li>Ensure code quality and maintainability by implementing strong CI/CD practices, code versioning, automated tests, and conducting thorough peer-reviews.</li><li>Stay current with emerging trends and advancements in software development, data engineering, and cloud technologies, integrating new tools and techniques&#xa0;where&#xa0;beneficial.</li><li>Expertise&#xa0;in handling and&#xa0;optimizing&#xa0;relational databases to support analytical applications </li><li>Ensure data quality, governance, and compliance through automated testing and monitoring frameworks&#xa0;</li></ul>Data Transformation &amp; Modeling&#xa0;<ul><li>Design and implement dimensional data models, star schemas, and semantic layers&#xa0;optimized&#xa0;for analytics and reporting</li><li>Create and&#xa0;maintain&#xa0;data&#xa0;models and data transformation logic using SQL and Python</li><li>Develop automated, high-quality indicators and KPIs from diverse data sources</li><li>Perform exploratory data analysis to uncover patterns and support business intelligence initiatives</li><li>Collaborate with data scientists to&#xa0;productionize&#xa0;machine learning models and AI solutions&#xa0;</li></ul>&#xa0;Qualifications:Required Qualifications&#xa0;This position is not eligible for sponsorship.Employment eligibility is limited to individuals who are authorized to work in the United States on a PERMANENT, UNRESTRICTED BASIS. This position does not support any form of visa sponsorship or work authorization, now or in the future.Essential:&#xa0;<ul><li>2+ years of experience in data&#xa0;engineering roles&#xa0;with focus on data modeling, pipeline development, ETL/ELT, and analytics platform management</li><li>Expert-level&#xa0;proficiency&#xa0;in&#xa0;SQL&#xa0;for complex queries, optimization, and performance tuning</li><li>1+ years of hands-on experience with&#xa0;Python&#xa0;for data engineering, including libraries such as Pandas, NumPy,&#xa0;PySpark, and data visualization tools (Plotly, Matplotlib)</li><li>Proficiency&#xa0;with modern cloud data platforms (Azure preferred, AWS or GCP acceptable)</li><li>Experience with data orchestration tools (Azure Data Factory&#xa0;preferred,&#xa0;Airflow, Prefect,&#xa0;Dagster)</li><li>Understanding of&#xa0;DataOps, CI/CD pipelines, version control (Git), and infrastructure as code&#xa0;</li></ul>Preferred:&#xa0;<ul><li>Experience with distributed computing frameworks (Databricks,&#xa0;Apache Spark)</li><li>Understanding of commodities trading, supply chain analytics, or agricultural industry domains&#xa0;</li></ul>Education&#xa0;Bachelor's&#xa0;or,&#xa0;Master's&#xa0;degree in Computer Science, Data Engineering, Computer/Systems Engineering, Data Science, Statistics, Mathematics, or related quantitative&#xa0;field. Candidates with equivalent professional experience and&#xa0;demonstrated&#xa0;technical&#xa0;expertise&#xa0;will be considered.&#xa0;Additional Information:Additional Information for the job<div sr-tagline=""></div>What We OfferWe provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise&#xa0;with outstanding career development opportunities in one of the largest and most solid private companies in the world.- Comprehensive benefits program including medical, dental and vision care coverage, flexible spending account plans, employee assistance program, life insurance and disability coverage 
- 401k with Company Match 
- Family Friendly Benefits including childbirth and parental leave, fertility and family building benefits 
- Paid Time Off (PTO) and Paid Holidays 
- Flexible work available (not applicable to all roles)
Diversity &amp; Inclusion 
 
LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. 
 
LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply.
Equal employment opportunity (EEO)Louis Dreyfus Company provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Sustainability 
 
Sustainable value is at the heart of our purpose as a company. 
 
We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us

Data Engineer, Data & Analytics

2+ years in data engineering; SQL expert; Python (Pandas, NumPy, PySpark); cloud data platforms (Azure preferred; AWS/GCP ok); data orchestration tools (Azure Data Factory; Airflow, Prefect, Dagster); CI/CD; data modeling; ETL/ELT; strong data governance.

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