Associate Tech Lead - Data Science

<p>Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. 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Fridays, choose your work location, balancing what your work requires.<p> </p><p> </p><p><b>Job Title: </b>Associate Tech Lead – Data Science</p><p></p><p><b>Job Summary:</b><br />We are seeking a highly skilled Associate Tech Lead specialized in AI/ML to guide the design, development, and deployment of advanced analytical and machine learning solutions. The ideal candidate brings 8–10 years of experience, deep technical expertise across AI/ML systems, and a demonstrated ability to execute high‑impact initiatives from concept to production. This role requires a combination of strong hands‑on technical expertise, and the ability to collaborate across engineering, product, data, and business teams to deliver scalable, innovative AI solutions that drive measurable business value.</p><p></p><p><b>Responsibilities:</b></p><ul><li><p>Execute and own end‑to‑end development of AI/ML systems, from data ingestion and feature engineering to model deployment and monitoring.</p></li><li><p>Provide inputs for the architectural direction of machine learning platforms, ensuring scalability, security, performance, and alignment with organizational standards.</p></li><li><p>Lead the evaluation, selection, and integration of AI technologies, frameworks, and tools, including GenAI solutions.</p></li><li><p>Collaborate with product, and domain teams to translate business requirements into well‑designed ML architectures and solution roadmaps.</p></li><li><p>Oversee ML model lifecycle management, including experimentation, versioning, CI/CD integration, and continuous improvement.</p></li><li><p>Mentor and guide data scientists, ML engineers, and analysts, fostering technical excellence and knowledge sharing.</p></li><li><p>Conduct reviews of ML pipelines, code, and solution designs to ensure quality, maintainability, and adherence to best practices.</p></li><li><p>Drive the implementation of MLOps practices such as automated model training, deployment, monitoring, and retraining workflows.</p></li><li><p>Partner with cross-functional teams to troubleshoot complex ML and data pipeline issues and develop long‑term solutions.</p></li><li><p>Stay current with emerging trends in AI/ML and GenAI, advising on opportunities to adopt new techniques and accelerate innovation.</p></li><li><p>Ensure data quality, governance, compliance, and responsible AI principles are integrated into all AI/ML initiatives.</p></li><li><p>Promote continuous improvement and help establish best practices in AI architecture, experimentation, model evaluation, and documentation.</p></li></ul><p></p><p><b>Technical Skills:</b></p><ul><li><p>Bachelor’s or master’s degree in computer science, Data Science, Engineering, or a related technical field; master’s degree in data science is preferable</p></li><li><p>8–10 years of experience in AI/ML development, advanced analytics, or data‑driven software engineering.</p></li><li><p>Deep expertise in machine learning algorithms, statistical modeling, neural networks, NLP, or computer vision.</p></li><li><p>Strong proficiency in Python and experience with AI/ML libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Keras etc.</p></li><li><p>Hands‑on experience designing and deploying ML models into production environments at scale.</p></li><li><p>Strong understanding of GenAI techniques, including LLMs, embeddings, vector databases, and prompt‑engineering concepts.</p></li><li><p>Proficiency with SQL and experience working with large, complex datasets.</p></li><li><p>Experience with cloud-based AI/ML platforms such as AWS SageMaker, Azure ML, or Google Vertex AI.</p></li><li><p>Familiarity with MLOps tools and practices including CI/CD, model registries, feature stores, and monitoring frameworks.</p></li><li><p>Strong understanding of distributed computing, microservices, APIs, and data engineering concepts.</p></li><li><p>Knowledge of ML security, governance, and responsible AI guidelines is a plus.</p><p><b> </b></p></li></ul><p><b>Soft Skills:</b></p><ul><li><p>Demonstrated ability in mentoring and guiding the technical teams.</p></li><li><p>Excellent communication and storytelling skills for conveying complex AI concepts to technical and non‑technical audiences.</p></li><li><p>Strong stakeholder management and the ability to collaborate effectively across functions.</p></li><li><p>Strategic thinker with the ability to define long‑term AI roadmaps while driving short‑term execution.</p></li><li><p>Strong problem‑solving and decision‑making capabilities, especially in ambiguous or fast‑changing environments.</p></li><li><p>Highly organized with the ability to manage multiple projects and deliverables simultaneously.</p></li><li><p>Proactive, innovative mindset with a strong focus on quality, reliability, ethics, and continuous improvement.</p><p></p></li></ul><p></p><p>We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.</p>