Software Engineer (AI NLP ML)

We are seeking a talented and experiencedAI/NLP Engineerto join our dynamic team. The ideal candidate will have a strong background inArtificial Intelligence (AI)Natural Language Processing (NLP)andMachine Learning (ML) with proven expertise in fine-tuning deploying and optimizing state-of-the-art NLP models. This role demands a hands-on approach to designing developing and integrating NLP solutions tailored to solve complex business challenges.

If you are passionate about cutting-edge AI have a knack for deploying scalable models in production environments and enjoy collaborating with cross-functional teams wed love to hear from you!

Key Responsibilities:

• Model Development and Fine-tuning:
  • Customize fine-tune and optimize open-source NLP models (e.g. LSTM/RNN based Transformer-based Conformer-based 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 - gte bge Mini-LM) using BERT XLNET and cross-encoders for LLM-based Retrieval-Augmented 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 adapter-based fine-tuning - 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:
  • 3 years of experience in NLP with expertise in fine-tuning transfer learning and developing custom models.
  • Hands-on experience in ASR TTS or custom language model architectures (e.g. Auto-regressive 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:
  • Hands-on experience with Docker Kubernetes and cloud-based 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.
• Large-Scale Deployments:
  • Expertise in scaling AI models and managing SLAs for real-world 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.

Nextiva DNA (Core Competencies)

Nextivas most successful team members share common traits and behaviors:

• Drives Results:Action-oriented with a passion for solving problems. They bring clarity and simplicity to ambiguous situations challenge the status quo and ask what can be done differently. They lead and drive change celebrating success to build more success.
• Critical Thinker: Understands the why and identifies key drivers learning from the past. They are fact-based and data-driven forward-thinking and see problems a few steps ahead. They provide options recommendations and actions understanding risks and dependencies.
• Right Attitude: They are team-oriented collaborative competitive and hate losing. They are resilient able to bounce back from setbacks zoom in and out and get in the trenches to help solve important problems. They cultivate a culture of service learning support and respect caring for customers and teams.

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 in-laws 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
• Work-Life 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 well-being and professional growth. Join us and build a rewarding career!

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