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Lead GenAI Engineer

bullets
Data Science, Docker, Kubernetes, LLM Application Development, Natural Language Processing, Generative AI
bullets
Hyderabad, Bangalore, Pune, Chennai, Gurgaon

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