Lead GenAI Engineer
Data Science, Docker, Kubernetes, LLM Application Development, Natural Language Processing, Generative AI
Hyderabad, Bangalore, Pune, Chennai, Gurgaon
Lead GenAI Engineer
We are seeking a Lead Machine Learning Engineer with expertise in GenAI/LLM and other related techniques, tools, and cloud providers. The ideal candidate will be responsible for designing, developing, and implementing cutting-edge NLP, GenAI models to tackle complex problems in various domains. You will work closely with cross-functional teams to understand business requirements, identify opportunities for applying GenAI techniques to deliver innovative solutions.
responsibilities
- Design, develop, and implement novel generative models and machine learning algorithms that solve complex problems. This includes architectural design, data pre-processing, training, optimization, and evaluation of models
- Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training
- Train and fine-tune generative models using large-scale datasets and distributed computing frameworks. Optimize models for performance, efficiency, and scalability
- Design and conduct experiments to evaluate the performance, robustness, and generalization of tune machine learning/deep learning models. Use appropriate metrics and statistical analysis to measure and interpret results
- Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders
- Building and deploying GenAI applications
- Utilizing AI frameworks such as TensorFlow, PyTorch, Keras, llama_index, and langchain
- Working with vector databases and RAG
- Developing agents using relevant frameworks
- Collaborating with cross-functional teams to understand business requirements and provide data-driven solutions
requirements
- Relevant professional experience of 8 to 13 years
- Bachelor’s or Master’s degree in computer science, Data Science, Statistics, or related field
- Solid foundation in NLP and other text processing algorithms. Proficiency in Python
- Expertise in Deep Learning frameworks such as TensorFlow, PyTorch, Keras
- Experience in LLM application framework like llama_index, langchain, huggingface
- Working knowledge of GenAI models like BERT, GPT-3/4, T5, Stable Diffusion, DALL-E, Whisper etc.
- Experience with vector databases and RAG and AI Agent development
- Demonstrable experience in developing and deploying Gen AI applications
- Proficiency with pandas, scikit-learn, matplotlib, spacy, statsmodel etc.
- General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
- Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability
- Familiarity with cloud services (AWS, Google Cloud, Azure)
- Excellent written and verbal communication skills
- B2+ English level proficiency
Benefits
For you
- Insurance Coverage
- Paid Leaves – including maternity, bereavement, paternity, and special COVID-19 leaves.
- Financial assistance for medical crisis
- Retiral Benefits – VPF and NPS
- Customized Mindfulness and Wellness programs
- EPAM Hobby Clubs
For your comfortable work
- Hybrid Work Model
- Soft loans to set up workspace at home
- Stable workload
- Relocation opportunities with ‘EPAM without Borders’ program
For your growth
- Certification trainings for technical and soft skills
- Access to unlimited LinkedIn Learning platform
- Access to internal learning programs set up by world class trainers
- Community networking and idea creation platforms
- Mentorship programs
- Self-driven career progression tool