AI/ML Engineer (Specializing in NLP/ML, Large Data Processing, and Generative AI)
AI/ML Engineer (Specializing in NLP/ML, Large Data Processing, and Generative AI)
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Job Description
Job Summary
Synechron seeks a highly skilled AI/ML Engineer specializing in Natural Language Processing (NLP) Large Language Models (LLMs) Foundation Models (FMs) and Generative AI (GenAI). The successful candidate will design develop and deploy advanced AI solutions contributing to innovative projects that transform monolithic systems into scalable microservices integrated with leading cloud platforms such as Azure Amazon Bedrock and Google Gemini. This role plays a critical part in advancing Synechrons capabilities in cutting-edge AI technologies enabling impactful business insights and product innovations.
Software Requirements
Required Proficiency:
- Python (core libraries: TensorFlow PyTorch Hugging Face transformers etc.)
- Cloud platforms: Azure AWS Google Cloud (familiarity with AI/ML services)
- Containerization: Docker Kubernetes
- Version control: Git
- Data management tools: SQL NoSQL databases (e.g. MongoDB)
- Model deployment and MLOps tools: MLflow CI/CD pipelines monitoring tools
Preferred Skills:
- Experience with cloud-native AI frameworks and SDKs
- Familiarity with AutoML tools
- Additional programming languages (e.g. Java Scala)
Overall Responsibilities
- Design develop and optimize NLP models including advanced LLMs and Foundation Models for diverse business use cases.
- Lead the development of large data pipelines for training fine-tuning and deploying models on big data platforms.
- Architect implement and maintain scalable AI solutions in line with MLOps best practices.
- Transition legacy monolithic AI systems into modular microservices-based architectures for scalability and maintainability.
- Build end-to-end AI applications from scratch including data ingestion model training deployment and integration.
- Implement retrieval-augmented generation techniques for enhanced context understanding and response accuracy.
- Conduct thorough testing validation and debugging of AI/ML models and pipelines.
- Collaborate with cross-functional teams to embed AI capabilities into customer-facing and enterprise products.
- Support ongoing maintenance monitoring and scaling of deployed AI systems.
- Document system designs workflows and deployment procedures for compliance and knowledge sharing.
Performance Outcomes:
- Production-ready AI solutions delivering high accuracy and efficiency.
- Robust data pipelines supporting training and inference at scale.
- Seamless integration of AI models with cloud infrastructure.
- Effective collaboration leading to innovative AI product deployment.
Technical Skills (By Category)
Programming Languages:
- Essential: Python (TensorFlow PyTorch Hugging Face etc.)
- Preferred: Java Scala
Databases/Data Management:
- SQL (PostgreSQL MySQL) NoSQL (MongoDB DynamoDB)
Cloud Technologies:
- Azure AI AWS SageMaker Bedrock Google Cloud Vertex AI Gemini
Frameworks and Libraries:
- Transformers Keras scikit-learn XGBoost Hugging Face engines
Development Tools & Methodologies:
- Docker Kubernetes Git CI/CD pipelines (Jenkins Azure DevOps)
Security & Compliance:
- Knowledge of data security standards and privacy policies (GDPR HIPAA as applicable)
Experience Requirements
- 8 to 10 years of hands-on experience in AI/ML development especially NLP and Generative AI.
- Demonstrated expertise in designing fine-tuning and deploying LLMs FMs and GenAI solutions.
- Proven ability to develop end-to-end AI applications within cloud environments.
- Experience transforming monolithic architectures into scalable microservices.
- Strong background with big data processing pipelines.
- Prior experience working with cloud-native AI tools and frameworks.
- Industry experience in finance healthcare or technology sectors is advantageous.
Alternative Experience:
Candidates with extensive research or academic experience in AI/ML especially in NLP and large-scale data processing are eligible if they have practical deployment experience.
Day-to-Day Activities
- Develop and optimize sophisticated NLP/GenAI models fulfilling business requirements.
- Lead data pipeline construction for training and inference workflows.
- Collaborate with data engineers architects and product teams to ensure scalable deployment.
- Conduct model testing validation and performance tuning.
- Implement and monitor model deployment pipelines troubleshoot issues and improve system robustness.
- Document models pipelines and deployment procedures for audit and knowledge sharing.
- Stay updated with emerging AI/ML trends integrating best practices into projects.
- Present findings progress updates and technical guidance to stakeholders.
Qualifications
- Bachelors degree in Computer Science Data Science or related field; Masters or PhD preferred.
- Certifications in AI/ML Cloud (e.g. AWS Azure Google Cloud) or Data Engineering are a plus.
- Proven professional experience with advanced NLP and Generative AI solutions.
- Commitment to continuous learning to keep pace with rapidly evolving AI technologies.
Professional Competencies
- Strong analytical and problem-solving capabilities.
- Excellent communication skills capable of translating complex technical concepts.
- Collaborative team player with experience working across global teams.
- Adaptability to rapidly changing project scopes and emerging AI trends.
- Innovation-driven mindset with a focus on delivering impactful solutions.
- Time management skills to prioritize and manage multiple projects effectively.
SYNECHRONS 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 applicants gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law.
Employment Type
Full-Time
