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AI/ML Engineer

1 month ago


Bengaluru, Karnataka, India Synechron Full time

Job Role: AI/ML Engineer

Location: Bangalore

Experience: 5 to 10 years

Notice Period: Immediate only.

About Synechron:

Synechron believes in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Our progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.

Job Description:

We are looking for a highly skilled AI/ML Engineer with strong hands-on experience in Machine Learning, Generative AI, and Cloud Computing. The ideal candidate should have a solid grasp of fundamental data structures and algorithms.

The role requires an individual who is technically proficient, problem-solving oriented, and capable of delivering robust AI/ML solutions.

Key Responsibilities:

- Design, develop, and deploy AI/ML models for real-world applications.

- Work on Generative AI models and frameworks to build innovative AI-driven solutions.

- Implement and optimize fundamental algorithms including sorting, searching, and tree-based operations.

- Develop and maintain scalable data pipelines and model deployment workflows.

- Utilize Cloud platforms (AWS, Azure, or GCP) for model training, deployment, and monitoring.

- Work with structured and unstructured data for feature engineering and predictive modeling.

- Ensure high-quality code and best practices in AI/ML development.

- Collaborate with cross-functional teams including data engineers, software developers, and product managers.

- Conduct performance tuning and optimization of machine learning models.

- Keep up to date with the latest trends in AI, ML, and GenAI technologies.

Required Skills & Qualifications:

- Programming: Strong proficiency in Python (TensorFlow, PyTorch, NumPy, Pandas, Scikit-learn).

- Data Structures & Algorithms: Hands-on experience with Merge Sort, Quick Sort, Bubble Sort, Linked Lists, Trees, Graphs, Queues, and Stacks.

- Machine Learning & AI: Solid understanding of Supervised & Unsupervised Learning, Reinforcement Learning, and Generative AI models.

- GenAI Expertise: Familiarity with LLMs, Transformers, LangChain, Hugging Face models, and prompt engineering.

- Cloud Computing: Experience with AWS (SageMaker, EC2, Lambda), Azure AI, or GCP AI services.

- Model Deployment: Knowledge of Docker, Kubernetes, CI/CD pipelines, and MLflow/Kubeflow.

- Database Knowledge: Strong grasp of SQL, NoSQL, and Vector Databases.

- Problem-Solving: Ability to break down complex AI/ML problems and develop efficient solutions.