AI Engineer, Data Science – Research

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November 8

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Zealogics Inc

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Enterprise • SaaS • Artificial Intelligence

Zealogics Inc. is a global technology company headquartered in New Jersey, specializing in IT consulting, engineering, and systems implementation. Founded in 2012, Zealogics provides a wide array of services, including software and hardware engineering, digital transformation, cloud solutions, artificial intelligence, and low-code development. The company aims to empower businesses across various industries such as semiconductor, automotive, finance, healthcare, telecom, and retail, with innovative and scalable solutions that enhance efficiency, agility, and customer experience. Zealogics partners with clients to understand their unique needs, delivering tailored solutions to achieve their business goals.

501 - 1000 employees

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

📋 Description

• Design and implement ML/AI models for regression, classification, NLP, time series, and clustering with large datasets. • Develop and deploy Generative AI and LLM-based solutions (OpenAI, Azure OpenAI, Hugging Face, LangChain, RAG). • Design and develop scalable Agents by keeping performance, cost and reusability aspects. • Perform data purification, feature engineering and correlation analysis (Pearson, Spearman, Chi-Square). • Deal with extremely large or complex dataset ingestion in system via mongodb, clickhouse, datalake etc. • Define quick correlations on structured and unstructured databases. • Work with SQL/NoSQL/Vector databases for AI data management. • Apply MLOps practices for model versioning, automation, and monitoring. • Collaborate with engineers and product teams to integrate AI into business applications. • Stay current with emerging AI technologies and ensure continuous optimization of deployed models. • Familiarity with external tools like cursor, mermaid, lucid, figma, bolt, windsurf, draw.io etc. • Create RESTful APIs and AI microservices using FastAPI/Flask/Django, deploy on Docker/Kubernetes.

🎯 Requirements

• Education: Bachelor’s or Master’s in Computer Science, Data Science, or AI-related field. • Experience: 5–10 years in Data Science or AI Engineering. • Technical Skills: Proficiency in Python, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, Hugging Face. • Strong knowledge on ChatGPT, Anthropic, Gemini & opensource deployment with ollama/lmstudio. • Strong grasp of data cleansing, feature correlation, and statistical modelling. • Experience building APIs and microservices with FastAPI/Flask/Django. • Familiarity with Generative AI, RAG, embeddings, and prompt engineering. • Knowledge of MLOps, CI/CD, Docker, Kubernetes, and cloud (AWS/Azure/GCP). • Databases: PostgreSQL, MongoDB, DynamoDB, Pinecone, Chroma, Faiss. • Knowledge on VLMs, OpenCV, CNN, finetuning of LLMs, evaluation criteria for LLMs.