Valiance Solutions - Senior Machine Learning Engineer (5-7 yrs)

About Valiance :

Valiance is a niche AI consulting firm specializing in delivering cutting-edge AI, data engineering, and cloud solutions.

We work across various industries, including manufacturing, retail, CPG, and financial services, leveraging our expertise in Gen AI, computer vision, and data analytics to drive digital transformation.

Join us to shape the future of AI-powered solutions for enterprises across the globe.

Job Description :

We are looking for a Lead Machine Learning Engineer with 5-7 years of experience in designing, developing, and deploying machine learning models.

The ideal candidate will play a crucial role in building, optimizing, and scaling AI/ML solutions for our clients.

Preference will be given to candidates with experience in Large Language Models (LLMs) and related technologies.

Key Responsibilities :

- Develop, test, and deploy machine learning models for various client use cases, ensuring high performance and scalability.

- Collaborate with data scientists, data analysts, and product teams to ensure accuracy, efficiency, and practical implementation of models.

- Build, optimize, and maintain machine learning pipelines for real-time and batch data processing.

- Research and implement the latest advancements in machine learning and AI to improve model performance and capabilities.

- Develop tools and infrastructure to streamline the ML lifecycle, including data collection, preprocessing, training, evaluation, and deployment.

- Lead and mentor junior ML engineers, ensuring best practices in coding, model development, and deployment.

- Work closely with cross-functional teams to ensure successful integration of machine learning models into client solutions.

Requirements :

- 5-7 years of hands-on experience in machine learning model development and deployment.

- Strong understanding of machine learning algorithms, data structures, statistical models, and deep learning techniques.

- Proficiency in programming languages such as Python (preferred), R, or Java.

- Hands-on experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.

- Experience in building and deploying ML models on cloud platforms such as Google Cloud, Azure, or AWS.

- Strong problem-solving skills with attention to detail and a passion for continuous learning.

- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.

- Excellent communication skills and ability to collaborate in a team environment.

Preferred Qualifications :

- Hands-on experience with Large Language Models (LLMs), LlamaIndex, or GPT-based architectures.

- Familiarity with distributed computing frameworks such as Hadoop, Spark, or Dask.

- Experience with cloud-native ML services such as Vertex AI, Azure ML, or SageMaker.

- Knowledge of MLOps practices, including CI/CD pipelines for ML, model versioning, and monitoring.

- Familiarity with software development methodologies such as Agile and DevOps.

- Experience with data visualization tools like Tableau or Power BI.