Key Responsibilities
- 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.
- 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
Top Skills
What We Do
Zealogics LLC provides a broad range of IT consulting, systems implementation and application outsourcing services through an optimized global delivery model. Zealogics builds deep knowledge of traditional product engineering across mechanical, electronics and software platforms, to enable clients to navigate their digital transformation.
Zealogics values engineering techniques, automation frameworks, and reference models which are refined through engagements with Fortune 500 enterprises and OEMs. We combine customer-centric product strategies through a collaborative approach for execution. We help to harmonize processes, identify bottlenecks, and eliminate non-value tasks to deliver world-class products.
With impeccable focus on client needs we connect specialized resources for the right positions, both for full time and contractual placements. Our long-term relationships with employees and clients have been built in an environment of integrity and commitment, with a shared goal of mutual success. Zealogics hires experienced people to solve a wide array of IT and Engineering challenges that our clients face. Our guarantee - Zealogics provides the best value services in town.
