Job Description
Education Required
• Bachelor’s in computer science, data science, machine learning, NLP, AI, linguistics, or related field required.
Skills Required:
• 4-7+ years of experience in Data Science, Machine Learning, NLP or AI positions.
• Extensive background in building, finetuning and operationalizing large language models (LLMs) in production environment.
• Proficiency in Python, including libraries such as Scikit-learn, PyTorch, Pandas, NumPy, spaCy, NLTK, and Matplotlib.
• Skilled in SQL, NoSQL, Milvus, Pinecone, PGVector databases
Skills Preferred:
• Advanced degree, e.g., Ph.D. or M.S. computer science, data science, machine learning, NLP, AI, linguistics, or related field preferred.
• Highly experienced in creating Agentic LLMs and knowledge of orchestration frameworks such as LangGraph.
• NLP and AI/ML Frameworks: Experience with training NLP models from scratch, working with Large Language Models, and using libraries such as spaCy, NLTK, and Transformers.
• Highly experienced with cloud platforms, preferably AWS (ECS, S3, Lambda, Bedrock, OpenSearch), Databricks, and Datadog.
• DevOps knowledge: Docker, Kubernetes, CI/CD, Git, Terraform.
Work Conditions
Environment: Hybrid 3 days on-site and remote work 2 days per week.
Shift Work: No
On-Call: No
Weekend Work: No