AI/ML Engineer

About Us:

Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data and AI-first scaled operations services. Based in San Francisco and Hyderabad, we are a fast-moving team on a mission to build AI for Good, driving innovation and societal impact.

Role Overview

(Top Tier Consulting Fir

.Key Responsibilitie

• s:Collaborate with cross-functional teams to define ML problem statements and translate them into technical task
• s.Design and implement robust data pipelines for collecting, cleaning, and validating large dataset
• s.Develop, train, and evaluate machine learning models using appropriate algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch
• ).Package and deploy ML models as scalable services or APIs, ensuring performance, security, and reliabilit
• y.Monitor and maintain models in production, including retraining and performance tunin
• g.Implement best practices in MLOps: experiment tracking, versioning, CI/CD pipelines, and model monitorin
• g.Document methodologies, workflows, and technical decisions clearly for both technical and non-technical audience
• s.Stay up to date with industry trends and contribute to evaluating and adopting new tools or frameworks where relevan

t.Required Skill

• s:Strong programming skills in Python and experience with ML libraries (scikit-learn, PyTorch, TensorFlow
• ).Solid understanding of machine learning fundamentals, including data preprocessing, feature engineering, model selection, and evaluatio
• n.Hands-on experience with SQL and data manipulation using tools like panda
• s.Experience deploying models in production environments, including serving models via REST API
• s.Familiarity with containerization (Docker) and orchestration (Kubernetes is a plus
• ).Knowledge of cloud platforms (AWS, GCP, or Azure) and experience with relevant ML tools (e.g., SageMaker, Vertex AI) is a plu
• s.Good understanding of software engineering best practices: version control, testing, code review

s.Nice-to-Hav

• e:Experience with big data frameworks (e.g., Spark) for processing large dataset
• s.Knowledge of experiment tracking tools (e.g., MLflow, Weights & Biases
• ).Familiarity with MLOps workflows and tools for monitoring data/model drif
• t.Domain-specific expertise in NLP, Computer Vision, or Time Series Analysi

s.Educational Qualification

• s:Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related fiel