Job Description
Engage deeply with business teams to identify opportunities and translate the needs into innovative and practical AIML solutions
Design, build, and deploy state of the art AIML models to solve complex business problems
Understand key performance levers and metrics to highlight AIML solution operational issues and drive improvement
Foster close collaboration with engineers and infrastructure partners to implement robust and scalable solutions
Communicate the results and insights effectively to partners and senior leaders, providing clear and actionable recommendations
Stay updated with the latest trends, technologies, and best practices in AI and GenAI and data engineering
Regularly research and present new ideas to improve the team's technical capabilities
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/ .
Required Skills & Experience
Minimum Qualifications:
Industry experience 10+ years BSCS, 5+ years MS/PhD in Computer Science, Statistics, Applied Math, or a related field
Preferred Qualifications:
Expert in AIML modeling, Python, AIML Infrastructure, model deployment and MLOps
Experience working in Supply Chain, Operations, or a related field
End to end GenAI application experience
Knowledge in RAG, Prompt Engineering, LoRA and other GenAI techniques
Ability to operate independently and lead without authority
Superb communication and interpersonal skills
Nice to Have Skills & Experience
Methodologies: Spiral, Agile, Waterfall, Lean
Programming Language: C++, Python, Shell, SQL, R
IDE Tools: PyCharm, RStudio, Visual Studio Code, Jupyter Notebook, Google Collab, Navicat
ML Frameworks: Transformers, Scikit-Learn, Keras, TensorFlow, PyTorch, ONNX, NLTK, OpenAI, langchain,
llama-index,kore.ai
DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers, Attention Mechanism, Tokenisers,
BERT, T5, Sentence Transformers, Foundational models
Packages: Pandas, NumPy, Spark, Matplotlib, SciPy
Cloud Technologies: AWS (EC2, S3, RDS, ECS, Lambda), Azure(VM, Functions, ACR, AKS), Digital Ocean, GCP, Paperspace
Database: MySQL, PostgreSQL, MongoDB, ChromaDB, Pinecone, SQLite
Web Frameworks and Web Servers/ Deployment:
Fast API, Flask, Nginx, Gunicorn, Uvicorn, Docker, Kubernetes
Miscellaneous Tools and Technologies:
JIRA, Auto Gluon, GitHub Actions, Github Issues, Datadog, MS Power BI, Postman, Locust, Stream lit, CUDA, cuDNN, TensorRT
Version Control: Git, GitHub, DVC (Data Version Control)
Operating Systems: Windows, Linux, Mac
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.