Gen AI Developer

Synechron is seeking an experienced and innovative Gen AI Developer to lead the design, development, and deployment of generative AI solutions. This role involves leveraging state-of-the-art AI models and frameworks to build scalable, secure, and impactful applications that enhance business processes and customer engagement. You will collaborate with cross-disciplinary teams to integrate AI technology seamlessly into existing systems, ensuring high standards of performance, security, and ethical AI practices. Your expertise will drive the organization’s AI-driven transformation and ensure the delivery of cutting-edge solutions.

Must Have

• Design, develop, and fine-tune large-scale generative AI models and solutions.
• Collaborate with data scientists, engineers, and product teams to define requirements and implement production-grade AI systems.
• Optimize models for efficiency, scalability, and accuracy while maintaining ethical AI standards.
• Incorporate AI integrations seamlessly into applications, APIs, or backend systems, ensuring security and compliance.
• Conduct model evaluations, troubleshoot technical issues, and monitor ongoing model performance.
• Stay updated with the latest research, tools, and trends in generative AI.
• Document technical approaches, model architectures, and best practices.
• At least 5 years of professional hands-on experience in AI and software development, with a focus on generative models.
• Proven success deploying large-scale AI/machine learning models in production environments.
• Experience working with cloud-based AI solutions and MLOps workflows.
• Demonstrated ability to translate complex data into actionable AI solutions.
• Master’s or PhD degree in Computer Science, Data Science, AI, or related fields.
• Critical thinking and advanced problem-solving abilities.
• Strong communication skills for technical and non-technical audiences.
• Leadership qualities to mentor junior team members and influence stakeholders.
• Ability to adapt rapidly to new research, frameworks, and industry trends.
• Creativity and curiosity for pushing AI boundaries while maintaining ethical standards.
• Effective time management and strategic planning skills.

Good to Have

• Experience with containerization (Docker) and orchestration (Kubernetes).
• Experience with MLOps tools (MLflow, Kubeflow).
• Familiarity with NLP libraries (SpaCy, NLTK) and multimodal models.
• Knowledge of data engineering tools (Apache Spark, Kafka).
• Programming languages: Java, C++.
• NoSQL (MongoDB, Elasticsearch).
• Experience with data lakes (e.g., AWS S3, GCS).
• Certifications in AI/ML (e.g., TensorFlow, AWS Certified Machine Learning).
• Experience with large language models, multimodal AI, or conversational AI.

Job Summary

Synechron is seeking an experienced and innovative Gen AI Developer to lead the design, development, and deployment of generative AI solutions. This role involves leveraging state-of-the-art AI models and frameworks to build scalable, secure, and impactful applications that enhance business processes and customer engagement. You will collaborate with cross-disciplinary teams to integrate AI technology seamlessly into existing systems, ensuring high standards of performance, security, and ethical AI practices. Your expertise will drive the organization’s AI-driven transformation and ensure the delivery of cutting-edge solutions.

Software Requirements

Required Software Skills:

• Python (with libraries such as TensorFlow, PyTorch, Hugging Face Transformers)
• Experience with large language models (LLMs) like GPT, BERT, T5, etc.
• Knowledge of cloud platforms for AI services including AWS, Azure, or GCP
• Frameworks for model training and inference (TensorFlow, PyTorch)
• Version control (Git)
• CI/CD tools (Jenkins, GitLab CI, Azure DevOps)

Preferred Software Skills:

• Experience with containerization (Docker) and orchestration (Kubernetes)
• Experience with MLOps tools (MLflow, Kubeflow)
• Familiarity with NLP libraries (SpaCy, NLTK) and multimodal models
• Knowledge of data engineering tools (Apache Spark, Kafka)

Overall Responsibilities

• Design, develop, and fine-tune large-scale generative AI models and solutions tailored to diverse business use cases.
• Collaborate with data scientists, engineers, and product teams to define requirements, develop prototypes, and implement production-grade AI systems.
• Optimize models for efficiency, scalability, and accuracy while maintaining ethical AI standards.
• Incorporate AI integrations seamlessly into applications, APIs, or backend systems, ensuring security and compliance.
• Conduct model evaluations, troubleshoot technical issues, and monitor ongoing model performance.
• Stay updated with the latest research, tools, and trends in generative AI and advise on adoption strategies.
• Document technical approaches, model architectures, and best practices for knowledge sharing.

Performance outcomes:

• Deployment of effective, reliable, and high-performing AI models that deliver measurable business value.
• Reduced deployment time and improved model accuracy through effective optimization.
• Successful integration of AI solutions with existing enterprise systems while ensuring compliance.
• Demonstrated innovation with continual improvements based on emerging AI research.

Technical Skills (By Category)

Programming Languages

• Required: Python, (optional but preferred: Java, C++)
• Preferred: Python 3.7+ with deep learning frameworks (TensorFlow, PyTorch)

Databases / Data Management

• SQL (MySQL, PostgreSQL)
• NoSQL (MongoDB, Elasticsearch) (preferred)
• Experience with data lakes (e.g., AWS S3, GCS) is advantageous

Cloud Technologies

• AWS, Azure, or GCP cloud platforms for model deployment, data storage, and scalable compute resources

Frameworks & Libraries

• TensorFlow, PyTorch
• Hugging Face Transformers, NLP libraries (SpaCy, NLTK)
• MLOps tools, containerization platforms (Docker, Kubernetes)

Development Tools & Methodologies

• Git, CI/CD pipelines (Jenkins, Azure DevOps, GitLab CI)
• Agile methodologies (Scrum/Kanban)
• Model validation, testing, and monitoring frameworks

Security & Ethical AI

• Knowledge of model interpretability, bias detection, and compliance standards (GDPR, CCPA)

Experience Requirements

• At least 5 years of professional hands-on experience in AI and software development, with a focus on generative models.
• Proven success deploying large-scale AI/machine learning models in production environments.
• Experience working with cloud-based AI solutions and MLOps workflows.
• Demonstrated ability to translate complex data into actionable AI solutions.

Day-to-Day Activities

• Develop, train, and optimize generative models for language, image, or multi-modal outputs.
• Collaborate with cross-functional teams to develop use cases, technical specifications, and deployment plans.
• Build and maintain API integrations for AI models leveraging REST, gRPC, or other protocols.
• Monitor model performance, troubleshoot issues, and implement iterative improvements.
• Conduct research sessions on emerging techniques and incorporate innovations into solutions.
• Write technical documentation, prepare reports, and share best practices across teams.
• Contribute to setting standards for AI model governance, security, and deployment procedures.

Qualifications

• Master’s or PhD degree in Computer Science, Data Science, AI, or related fields.
• Certifications in AI/ML (e.g., TensorFlow, AWS Certified Machine Learning) are a plus.
• Experience with large language models, multimodal AI, or conversational AI is highly desirable.
• Proven record of deploying AI solutions at scale, aligned with ethical and business standards.
• Ongoing commitment to learning, innovation, and ethical AI practices.

Professional Competencies

• Critical thinking and advanced problem-solving abilities.
• Strong communication skills for technical and non-technical audiences.
• Leadership qualities to mentor junior team members and influence stakeholders.
• Ability to adapt rapidly to new research, frameworks, and industry trends.
• Creativity and curiosity for pushing AI boundaries while maintaining ethical standards.
• Effective time management and strategic planning skills.

SYNECHRON’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.

Candidate Application Notice

Sustainability and Health Safety Commitment

At Synechron, we are committed to integrating sustainability into our business strategy, ensuring responsible growth while minimizing environmental impact. Employees play a key role in driving our sustainability initiatives, from reducing our carbon footprint to fostering ethical and sustainable business practices across global operations. All positions are required to adhere to our Sustainability and Health Safety standards, demonstrating a commitment to environmental stewardship, workplace safety, and sustainable practices.

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