Job Title: Sr. Engineer
Location: Chennai/Bangalore
Experience Range : 8 – 12 Years
Skill set: Python, AI, NLP
Deep Learning and NLP Skill
- s:Proficiency in building and training deep neural networks using frameworks like TensorFlow, PyTorch, et
- c.Understanding of transformer architectures like BERT, GPT, T5, et
- c.Knowledge of sequence-to-sequence models, attention mechanisms, and embedding
- s.Experience with NLP tasks such as tokenization, named entity recognition, and sentiment analysi
s.
Reinforcement Learni
- ng:Strong understanding of the fundamentals of reinforcement learning, including concepts like Markov Decision Processes, Q-learning, and policy gradien
- ts.Experience with modern RL libraries like OpenAI Gym, Ray's RLlib, or Stable Baselin
- es.Practical knowledge of reinforcement learning in non-stationary environments and using human feedback as rewar
ds.
Optimization Techniq
- ues:Familiarity with techniques like gradient clipping, learning rate schedules, regularization, and drop
- out.Understanding of distributed training and optimization techniques to handle large datasets and mod
els.
Computational Sk
- ills:Proficiency in Python and other programming languages common in the AI/ML do
- main.Knowledge of GPU and TPU computation, especially in the context of deep lear
ning.
Research A
- cumen:Ability to read, understand, and implement findings from scientific papers, especially those related to LLMs and their optimiza
- tions.Contributions to the AI research community through publications, conferences, or open-source projects can be an adva
ntage.
Deep Understanding o
- f LLMs:Familiarity with the nuances of large language models, their strengths, and potential pi
- tfalls.Awareness of typical business use cases for LLMs, from customer support automation to content gene
ration.
Low-code/No-code Platform Ex
- pertise:Proficiency in using and configuring platforms like L
- angflow.Experience in setting up, deploying, and managing applications on such pl
atforms.
Agent-based Modellin
- g Skills:Strong understanding of defining, designing, and implementing agents, their behaviours, and inte
- ractions.Ability to set up policies, constraints, and orchestrate chains of agents to fulfil specific business processes or w
orkflows.
Educational B
- ackground:A Bachelor's or Masters (preferably) in Computer Science, Data Science, Artificial Intelligence, or relat
ed fields.
