Senior Software Engineer II (AI Developer)
Precisely is the leader in data integrity. We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services. What does this mean to you? For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk. In fact, Precisely powers better decisions for more than 12,000 global organizations, including 99 of the Fortune 100. Precisely’s 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration. We are committed to career development for our employees and offer opportunities for growth, learning and building community. With a “work from anywhere” culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents. Learn more about why it’s an exciting time to join Precisely!
Intro And Job Overview:
You will join a team working with next gen technologies on strategic innovation projects in order to identify areas for future growth, new customers and new markets in the data integrity space. You will drive AI/ML innovation and rapid prototyping to bring more value to Preciselyβs customers and grow market share.
Responsibilities And Duties:
- Work with architects and fellow team members to develop prototypes for strategic initiatives, with focus on AI/ML.
- Work as part of the development team, to productize, AI product features for the cloud.
- Develop good understanding of competitive landscape, data management industry and market trends to drive AI/ML innovation in Precisely products.
- AI systems design, with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
- Collaborate with cross-functional teams in Product Management, R&D, Services and Support to align prototype goals with customer challenges.
- Evaluate, learn, and incorporate new technologies into new and existing products and solutions as applicable.
- Work as part of an agile team that embraces change.
Requirements And Qualifications:
- BS/ MS degree in Computer Science, Statistics, Mathematics, Data Science, Data Engineering or related technical or quantitative degree.
- Total 5 years of professional experience is a must have.
- Minimum 3 years experience in developing and deploying AI/ML models using Python and frameworks like TensorFlow, PyTorch, HuggingFace, LangcChain, or scikit-learn.
- Atleast 2 years of hands-on experience in building AI applications in production (e.g., ML, deep learning, LLM, NLP, computer vision, anomaly detection or pattern recognition).
- Atleast 2 years experience with AWS AI/ML services such as Bedrock, SageMaker, Lambda, EC2, and S3.
- Atleast 2 years experience with building LLM powered apps and techniques, prompt engineering, fine-tuning, and RAG using Vector and Graph databases.
- Should have 3 years experience with designing and building data pipelines and ETL processes using tools such as Apache Airflow, AWS Glue, or similar technologies.
- Experience integrating AI with CI/CD solutions in the context of MLOps and LLMOps including automation with Infrastructure as Code (IaC) solutions.
- Should have 3 years experience as a full stack cloud developer using languages such as Angular, nodejs, javascript and Java.
- Strong background in NLP techniques, including text preprocessing, entity recognition, and semantic analysis.
- Experience with agile development practices.
- Experience in working with and developing capabilities for software products in areas such as data integration, data quality, location intelligence, data enrichment.
- Experience with cloud technologies, SaaS deployment model.
- Software engineering experience in enterprise software products.
- Strong analytical, problem solving and troubleshooting skills.
- Excellent written and verbal communication skills.
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