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

:We are seeking a skilled AI/ML Engineer to join our client’s team (Top Tier Consulting Firm) and operationalize our machine learning workflows. You will work closely with data scientists, engineers, and product teams to design, deploy, monitor, and maintain scalable ML pipelines in production. The ideal candidate has a strong foundation in ML systems, DevOps principles, and cloud-native technologies

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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