Hyderabad, Telangana, India
Information Technology
Full-Time
Quvia
Overview
About The Role
We’re seeking curious thinkers looking to co-author the next chapters of our story. Joining now means helping shape our vision, structures, and systems; playing a key-role as we launch into our ambitious future.
We're looking for a Data AI Engineer to work on the NextGen connectivity platform across platforms. This is an outstanding opportunity to help build an ambitious future for our flagship product.
What You'll Do
Educational Background: Technical Skills: Soft Skills:
We’re seeking curious thinkers looking to co-author the next chapters of our story. Joining now means helping shape our vision, structures, and systems; playing a key-role as we launch into our ambitious future.
We're looking for a Data AI Engineer to work on the NextGen connectivity platform across platforms. This is an outstanding opportunity to help build an ambitious future for our flagship product.
What You'll Do
- Predictive Model Development:
- Design and build machine learning models to analyze trends, predict outcomes, and optimize business processes.
- Work with structured and unstructured datasets to develop models for forecasting, anomaly detection, and decision-making.
- LLM Integration:
- Fine-tune and adapt large language models (e.g., OpenAI, Hugging Face, etc.) for domain-specific applications.
- Implement and enhance NLP capabilities, such as summarization, sentiment analysis, entity recognition, and chatbot development.
- Data Preprocessing and Feature Engineering:
- Clean, preprocess, and transform large datasets into formats suitable for model training and evaluation.
- Perform exploratory data analysis to identify trends and insights that guide model development.
- Model Deployment and Optimization:
- Deploy and integrate models into production systems, ensuring scalability and low latency.
- Continuously monitor and refine model performance using techniques like retraining, hyperparameter tuning, and model explainability tools.
- Collaboration and Stakeholder Engagement:
- Collaborate with cross-functional teams to translate business needs into technical solutions.
- Present findings and insights to stakeholders in a clear, actionable manner.
- Research and Innovation:
- Stay updated with advancements in AI, ML, and LLM technologies to introduce cutting-edge practices and tools.
- Explore novel ways of applying LLMs and predictive analytics to create business value.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related fields.
- Strong experience in predictive modeling, time-series analysis, and machine learning algorithms.
- Proficiency with LLM frameworks (e.g., Hugging Face Transformers, LangChain) and familiarity with foundational models like GPT or similar.
- Hands-on experience with programming languages such as Python (preferred), R, or Scala.
- Proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience in data manipulation and visualization tools (e.g., Pandas, NumPy, Matplotlib, Seaborn).
- Understanding of cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
- Excellent problem-solving and analytical skills.
- Strong communication skills to explain complex models and outcomes to non-technical stakeholders.
- Collaborative mindset with the ability to work in multidisciplinary teams.
- Preferred Qualifications:
- Prior experience in deploying LLM-powered solutions at scale.
- Knowledge of reinforcement learning or generative AI techniques.
- Familiarity with MLOps tools for automating ML workflows.
- Collaborative and innovative work environment
- Aviation, Maritime domain exposure, and business knowledge
- Connectivity and content engineering and business knowledge
- Opportunity to work in cross-functional teams.
- Competitive health benefits that start on day one
- Generous paid time off policy
- Opportunities for hybrid offices.
- Enterprise Product end-to-end experience with direct customer feedback
- Performance-based bonus
- International travel/vacation; a cruise or in-flight end-user experience
- Opportunity to work across teams and organizations.
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