Job Summary

Synechron is seeking a highly skilled GenAI & NLP Python Developer to lead the development, deployment, and optimization of advanced AI models, specializing in generative AI and natural language processing. This role involves designing scalable AI solutions, fine-tuning large language models, leveraging cloud platforms, and integrating AI-driven features into business workflows. The ideal candidate will collaborate across teams to develop innovative applications, stay abreast of the latest AI research, and contribute to strategic initiatives that enable our organization to harness AI for operational excellence and competitive advantage.

Software Requirements

Required Skills:

• Extensive experience in Python, focusing on AI/ML applications, with proficiency in deep learning frameworks such as PyTorch and TensorFlow

  
  

• Proven expertise in training, fine-tuning, and deploying large language models like GPT, BERT, or similar architectures

  
  

• Experience with cloud platforms: AWS, GCP, or Azure for model deployment, management, and automation

  
  

• Familiarity with NLP libraries such as Hugging Face Transformers and SpaCy for building NLP pipelines

  
  

• Strong knowledge of version control: Git and collaborative development workflows

  
  

• Experience in data processing using Pandas, NumPy, and data management in NoSQL/relational databases

  
  

Preferred Skills:

• Exposure to model optimization tools such as ONNX, TensorRT for deployment acceleration

  
  

• Experience with containerization (Docker) and orchestration (Kubernetes) for scalable AI services

  
  

• Familiarity with AI monitoring, MLOps practices, and pipeline automation tools

  
  

Overall Responsibilities

• Design, develop, and refine generative AI and NLP models for diverse use cases including language understanding, text generation, and data insights

  
  

• Fine-tune pre-trained models, implement transfer learning, and adapt architectures to specific business needs

  
  

• Deploy models on cloud platforms optimizing for scalability, reliability, and security

  
  

• Collaborate with product teams, data scientists, and engineers to translate business requirements into AI solutions

  
  

• Conduct model evaluations, performance tuning, and validation to ensure robust deployment-ready solutions

  
  

• Automate training, deployment, and monitoring workflows supporting continuous integration and delivery pipelines

  
  

• Stay current with innovations in AI/ML, especially generative models and NLP, and integrate best practices into projects

  
  

• Provide technical mentorship within the team and support in troubleshooting complex AI/ML issues

  
  

Technical Skills (By Category)

Programming Languages:

• Required: Python (essential), with capability in scripting and automation

  
  

• Preferred: Knowledge of C++ or Java for integration or performance optimization

  
  

Frameworks & Libraries:

• Essential: PyTorch, TensorFlow, Hugging Face Transformers, SpaCy

  
  

• Preferred: ONNX, TensorRT for model optimization

  
  

Data Management:

• SQL (MySQL, PostgreSQL, Oracle) for data storage and validation

  
  

• NoSQL (MongoDB, Cassandra) for handling unstructured data

  
  

Cloud & Deployment:

• Deep experience deploying AI models on AWS (SageMaker), GCP (Vertex AI), Azure (Azure ML)

  
  

• Containerization: Docker (preferred), Kubernetes (preferred)

  
  

Development & DevOps Tools:

• Git, Jenkins, GitHub Actions, Terraform (for cloud infrastructure support)

  
  

ML & Data Pipeline Orchestration:

• Knowledge of Airflow, Kubeflow, or similar tools

  
  

Security & Compliance:

• Data privacy, model security, encryption, and industry-standard compliance practices

  
  

Experience Requirements

• 6-10 years of experience in AI/ML development, with significant hands-on experience in large language models and NLP

  
  

• Proven experience deploying models at scale within cloud environments

  
  

• Experience fine-tuning, optimizing, and monitoring AI models for production use

  
  

• Demonstrated ability to translate business needs into effective AI/ML solutions

  
  

• Cross-disciplinary collaboration with data science, software engineering, and business teams

  
  

Day-to-Day Activities

• Build, train, and fine-tune generative AI and NLP models for various enterprise applications

  
  

• Develop automated workflows for model deployment, testing, and monitoring in cloud environments

  
  

• Collaborate with product and data teams to identify AI opportunities and translate them into scalable solutions

  
  

• Evaluate new algorithms, tools, and research to enhance existing models and workflows

  
  

• Troubleshoot model performance issues, optimize inference speed, and manage resource constraints

  
  

• Document model architecture, training procedures, and deployment configurations

  
  

• Support prompt engineering, bias mitigation, and model governance activities

  
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related fields

  
  

• 4+ years of experience in AI/ML development, especially with generative models and NLP applications

  
  

• Proven expertise in Python, deep learning technologies, and cloud deployment techniques

  
  

• Certifications in cloud platforms (AWS, Azure, GCP), or AI specific credentials are advantageous

  
  

Professional Competencies

• Critical thinking and innovative problem-solving skills

  
  

• Excellent communication skills to articulate complex AI concepts to diverse stakeholders

  
  

• Leadership qualities for mentoring junior team members and guiding projects

  
  

• Adaptability to evolving AI research and industry trends

  
  

• Strategic thinking in applying AI to drive business value

  
  

• Time management skills to deliver projects within deadlines

  
  

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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