GenAI & NLP Python Developer | Cloud & Model Optimization
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
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.
Sign in
To continue your applicationor continue with email
By continuing you agree to our Terms & Privacy Policy.
