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Tech Stack
Tools & technologiesAWSAzureCloudNumpyPandasPythonScikit-LearnSparkSQL
About the role
Key responsibilities & impact- 5+ years of experience as a NLP and Python developer.
- Experience with Pandas, NumPy, Scikit, NLP a must have.
- Key fundamentals in object-oriented design, data structures and systems.
- Ability to integrate multiple data sources into a single system.
- Familiarity with testing tools.
- Ability to collaborate on projects and work independently when required.
- Working knowledge of GitHub and Jira.
- Ability to document requirements and specifications.
- Develop and maintain advanced Python-based applications in the Generative AI domain, ensuring high performance, reliability, and scalability.
- Implement and optimize Generative AI models, including GPT, LLAMA, Mistral, FLAN T5 and other cutting-edge AI technologies, to create innovative solutions and knowledge graph.
- Development of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation.
- Collaborate with cross-functional teams to integrate AI functionalities into broader systems and applications.
- Utilize AWS/Azure/Databricks GPU machines to manage GPU memory effectively, maximizing performance and efficiency.
- Stay updated on the latest advancements in Generative AI, Python development practices, and cloud services to continually enhance our AI capabilities.
- Assist delivery leads in delivering Generative AI solutions to clients in a timely manner, ensuring client satisfaction and project success.
Requirements
What you’ll need- Bachelor's or Master's degree in a quantitative field (CS, machine learning, mathematics, statistics) or equivalent experience.
- 5+ years of experience in data science, building hands-on ML models.
- Candidate must be aware of entire evolution history of NLP (Traditional Language Models to Modern Large Language Models), training data creation, training set-up and finetuning
- Knowledge of advanced RAG pipelines with proper embeddings, indexing, chunking, reranking, prompts and evaluation
- Excellent programming skills in Python. Strong working knowledge of Python's numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc.
- SQL skills with SQL Server and Spark experience is preferred but not necessary.
- Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks.
- Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling.
- Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment.
- Experience with cloud platforms such as Azure, AWS, Databricks is preferred.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonNLPPandasNumPyScikit-learnGenerative AIRAG pipelinesMachine LearningDeep LearningSQL
Soft Skills
collaborationindependencedocumentationcommunicationtroubleshootingproblem-solvingadaptabilityclient satisfactionproject successinnovation
Certifications
Bachelor's degreeMaster's degree