Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer

Location: Chennai ,India

Experience: 4-7 Years

Company: Giggso India Pvt. Ltd.

About Giggso

Giggso is an award-winning, Michigan-based AI startup, recognized in the Top 50 Michigan Startups of 2023 & 2024. Founded in 2017, we deliver a unified platform for AI agent orchestration, governance, and observability, simplifying complex enterprise workflows.

Our solutions extend to model risk management, security, and blockchain enablement, ensuring trustworthy AI across diverse industries. By automating operations and providing real-time monitoring, Giggso drives cost savings and boosts organizational intelligence.

We champion responsible AI to help businesses optimize decision-making and enhance customer experiences at scale.

Job Summary

We are looking for a highly skilled Machine Learning Engineer to join our team and play a key role in product development, leading multiple projects, and mentoring junior members of the Machine Learning and Data Engineering team. The ideal candidate should have a strong background in end-to-end machine learning pipelines, model deployment, monitoring, and optimization.

Key Responsibilities

• Develop, train, deploy, and monitor Machine Learning models for various business use cases.
• Utilize published/existing models and adapt them to improve efficiencies and meet specific business requirements.
• Optimize machine learning model training and inference times.
• Perform continuous monitoring of ML models, detect model variations, and manage retraining/redeployment processes.
• Handle end-to-end tasks, including data collection, preparation/annotation, validation, and model evaluation.
• Define and develop ML infrastructure to enhance the efficiency of ML development workflows.
• Collaborate with Engineers, Data Scientists, Product Managers, and Business Partners to design and implement innovative data-driven solutions.
• Communicate complex data science concepts effectively to technical and non-technical stakeholders.

Required Skills & Qualifications

• Experience in productizing and deploying Machine Learning solutions.
• Thorough understanding of the full ML pipeline, from data collection to inference.
• Strong expertise in model monitoring, detecting variations, and managing retraining/redeployment processes.
• Proficiency in Python and experience with ML frameworks/libraries such as TensorFlow, Keras, PyTorch, spaCy, fastText, and Scikit-learn.
• Knowledge or experience in MLOps and ModelOps practices.
• Hands-on experience in Natural Language Processing (NLP), including text classification, entity extraction, and content summarization.
• Strong problem-solving skills with the ability to analyze, optimize, and scale models.
• Excellent verbal and written communication skills to collaborate effectively across teams and influence strategic decisions.

What We Look For

We seek innovative minds who thrive in an agile and fast-paced environment. We value technologists with a passion for ownership and innovation, who can think beyond traditional programming roles. We are looking for individuals with strong technical acumen and effective communication skills, who can drive impactful solutions and contribute to our platform's success.

Why Join Us?

• Work on cutting-edge AI/ML technologies and real-world applications..
• Mentorship and leadership opportunities to grow your career.
• Collaborate with global teams and work on innovative projects.

If you are passionate about Machine Learning and want to contribute to a dynamic team driving innovation at scale, we would love to hear from you!