Senior NLP Engineer
Senior NLP Engineer
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Job Description
Redefine the future of customer experiences. One conversation at a time.
Were changing the game with a firstofitskind conversationcentric platform that unifies team collaboration and customer experience in one place. Powered by AI built by amazing humans.
Our culture is forwardthinking customerobsessed and built on an unwavering belief that connection fuels business and life; connections to our customers with our signature Amazing Service our products and services and most importantly each other. Sincecompanies and 1M users rely on Nextiva for customer and team communication.
If youre ready to collaborate and create with amazing people let your personality shine and be on the frontlines of helping businesses deliver amazing experiences youre in the right place.
Build Amazing Deliver Amazing Live Amazing Be Amazing
We are seeking a talented and experiencedAI/NLP Engineer to join our dynamic team. The ideal candidate will have a strong background in Artificial Intelligence (AI) Natural Language Processing (NLP) and Machine Learning (ML) with proven expertise in finetuning deploying and optimizing stateoftheart NLP models. This role demands a handson approach to designing developing and integrating NLP solutions tailored to solve complex business challenges.
If you are passionate about cuttingedge AI have a knack for deploying scalable models in production environments and enjoy collaborating with crossfunctional teams wed love to hear from you!
Key Responsibilities:
- Model Development and Finetuning:
- Customize finetune and optimize opensource NLP models (e.g. Transformerbased Conformerbased and VITS architecture) using transfer learning.
- Develop and train models from scratch when needed to address specific business challenges.
- Generative AI & Prompt Engineering:
- Design effective prompts for generative AI tasks to meet diverse user and business requirements.
- Build similarity models (e.g. symmetric/asymmetric) using BERT XLNET and crossencoders for LLMbased RetrievalAugmented Generation (RAG) use cases.
- Model Deployment & Optimization:
- Deploy models at scale using Docker Kubernetes and cloud platforms like AWS.
- Optimize models for performance using techniques such as vLLM (Paged Attention) quantization and adapterbased finetuning LoRA QLoRA.
- Performance Monitoring and Enhancement:
- Continuously evaluate and enhance model performance to ensure accuracy scalability and minimal latency.
- Build pipelines for data preprocessing model serving and monitoring using tools like Airflow and AWS Batch.
- Collaboration:
- Work closely with data scientists software engineers and product teams to integrate NLP models seamlessly into business applications.
Required Skills:
- NLP & Machine Learning:
- 6 years of experience in NLP with expertise in finetuning transfer learning and developing custom models.
- Handson experience in ASR TTS or custom language model architectures (e.g. Autoregressive transformers RWKV).
- Generative AI & Prompt Engineering:
- Proficiency in designing and crafting prompts for generative AI models aligned with business use cases.
- Programming Skills:
- Strong proficiency in Python with experience in implementing NLP models and building pipelines.
- Model Deployment:
- Handson experience with Docker Kubernetes and cloudbased deployment on platforms such as AWS.
- Deep Learning Frameworks:
- Proficiency with TensorFlow PyTorch and libraries like Hugging Face Transformers NLTK SpaCy and Gensim.
Bonus Skills:
- MLOps & Cloud Services:
- Experience with AWS (Lambda Step Functions Batch) GCP Azure or Nemo for model deployment and pipeline management.
- LargeScale Deployments:
- Expertise in scaling AI models and managing SLAs for realworld applications.
Preferred Qualifications:
- Bachelors or Masters degree in Computer Science Data Science Engineering or a related field.
- Proven track record of working with large datasets and creating robust pipelines for data ingestion and preprocessing.
- Strong understanding of neural networks and advanced deep learning architectures for NLP.
Total Rewards
Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best in and out of the office.
Our compensation packages are tailored to each role and candidates qualifications. We consider a wide range of factors including skills experience training and certifications when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position compensation may include base salary and/or hourly wages incentives or bonuses.
- Medical Medical insurance coverage is available for employees their spouse and up to two dependent children with a limit of 500000 INR as well as their parents or inlaws for up to 300000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit providing peace of mind and security in times of medical necessity.
- Group Term & Group Personal Accident Insurance Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent visible & external means.
- Coverage Type Employee Only
- Sum Insured 3 times of annual CTC with minimum cap of INR
- Free Cover Limit 1.5 Crore
- WorkLife Balance 15 days of Privilege leaves per calendar year 6 days of Paid Sick leave per calendar year 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves 1 week of Paternity leave a day off on your Birthday and paid holidays
- Financial Security Provident Fund & Gratuity
- Wellness Employee Assistance Program and comprehensive wellness initiatives
- Growth Access to ongoing learning and development opportunities and career advancement
At Nextiva were committed to supporting our employees health wellbeing and professional growth. Join us and build a rewarding career!
Established in 2008 and headquartered in Scottsdale Arizona Nextiva secured $200M from Goldman Sachs in late 2021 valuing the company at $ check out whats going on at Nextiva check us out on Instagram Instagram (MX) YouTube LinkedIn and the Nextiva blog.
#LISC1 #LIHybrid
Required Experience:
Senior IC
Employment Type
Full Time
