About Enlyft
Data and AI are at the core of the Enlyft platform. We are looking for creative, customer and detail-obsessed machine learning engineers who can contribute to our strong engineering culture. Our big data engine indexes billions of structured / unstructured documents and leverages data science to accurately infer the footprint of thousands of technologies and products across millions of businesses worldwide. The complex and evolving relationships between products and companies form a technological graph that is core to our predictive modeling solutions. Our machine learning based models work by combining data from our customer's CRM with our proprietary technological graph and firmographic data, and reliably predict an account's propensity to buy.
About the Role
As part of our team, you'll be tasked with handling substantial datasets to develop machine learning models catering to our enterprise clients. Your role will also involve contributing to the development of foundational models for our product. To excel in this position, you should possess a strong analytical aptitude, with a deep understanding of data analysis, mathematics, and statistics. Critical thinking and problem-solving abilities are imperative for the interpretation of data. Furthermore, we value a genuine enthusiasm for machine learning and a commitment to research.
Responsibilities:
- Lead the design, development, and deployment of advanced machine learning and generative AI models that create measurable business impact.
- Architect scalable data and ML systems, ensuring reliability, performance, and efficiency through strong MLOps practices.
- Partner with product, engineering, and business teams to identify opportunities where AI and data science can drive meaningful outcomes.
- Evaluate and improve model performance through continuous experimentation and monitoring.
- Stay current with AI advancements - especially in LLMs, transformers, and diffusion models - and apply emerging research to production use cases.
- Establish best practices for model development, experimentation, and documentation across the data science team.
- Mentor and guide data scientists, fostering technical excellence, innovation, and collaboration.
- Communicate insights and recommendations clearly to both technical and non-technical audiences, influencing data-driven decision-making.
Requirements:
- 10+ years of experience in data science and machine learning, leading end-to-end AI/ML initiatives, with a degree in Computer Science, Statistics, or a related field.
- Strong Python programmer with deep expertise in statistical modeling, predictive analytics, and modern ML frameworks (scikit-learn, PyTorch, TensorFlow, pandas).
- Hands-on experience with GenAI and LLM architectures (GPT, BERT, T5, diffusion models) and their real-world applications.
- Proficient with big data and cloud platforms (Spark, Databricks, AWS, Azure, or GCP) and experienced in building MLOps pipelines for scalable model deployment.
- Skilled in databases (MySQL, SQL Server, PostgreSQL) and data warehouses (Snowflake, BigQuery, or Redshift)
- Excellent analytical skills with the ability to solve complex business problems and derive actionable insights from large, multi-dimensional datasets.
- Proven leadership and mentoring experience, guiding data scientists and collaborating cross-functionally with product, engineering, and business teams.
Why join Enlyft
- A top-notch culture that is customer obsessed, transparent and constantly strives for excellence
- A top-notch team with colleagues that will help you learn and grow in a collaborative environment
- Competitive pay and great benefits
Enlyft is an equal-opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you are a creative problem solver who is passionate about building products that meet the needs of customers, then we would love to hear from you. Apply today to join our team.
