Primary Skills
- ML & GenAI Expertise – LLMs (GPT, RAG), NLP, Deep Learning
- MLOps & Deployment – Model lifecycle management, CI/CD, monitoring
- Data Engineering – Scalable data pipelines, big data tools (Databricks/Spark)
- Programming – Python, SQL, TensorFlow/PyTorch
- Leadership – Team mentoring, AI strategy, stakeholder collaboration.
- Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
Job requirements
- Education: Bachelor’s or Master’s Degree in Computer Science, IT, Engineering, or related fields.
- Experience:
- Overall 12+ years of experience, including 2+ years in delivering AI-powered products.
- Minimum 2 years of dedicated Product Management experience.
- At least 1 year of experience with GPT/LLM model development (pre-processing, feature selection, hyper-parameter tuning).
- Technical Expertise:
- Hands-on experience with Agentic AI and Graph RAG solutions.
- Skilled in developing and training GPT/LLM models for applications such as chatbots, Q&A systems, and recommendation engines.
- Strong background in data analysis, pre-processing, feature engineering, and model selection to deliver accurate models efficiently.
- Continuous monitoring and iteration to improve model accuracy and performance based on feedback.
- Collaboration & Leadership:
- Work closely with cross-functional teams to define product requirements and develop GPT/LLM use cases.
- Define and align the vision for Data/AI use cases with senior leadership for medium- and long-term goals.
- Soft Skills:
- Strong analytical, strategic thinking, problem-solving, and project management skills.
- Exceptional attention to detail, ability to innovate, and address challenges at both macro and micro levels.
Skills Required
- Bachelor's or Master's Degree in Computer Science, IT Engineering, or related fields
- Overall 9+ years of experience
- Minimum of 2+ years of experience in delivering AI-powered products
- At least 2 years of dedicated Product Management experience
- Experience with GPT/LLM model development
- Hands on Experience in Graph RAG and agentic AI
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
Brillio Insights
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.







