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Umanist Staffing LLC is seeking an experienced AI/ML Engineer in Chennai, India, to design and develop intelligent applications and advanced ML models. The role requires strong expertise in AI/ML, BigQuery, CI/CD, cloud-native technologies, and modern software practices.
The candidate will translate business requirements into AI-driven solutions, deploy scalable models, and collaborate with cross-functional teams to ensure secure, high-quality software delivery. Up to ₹30 LPA.
AI/ML Engineer — AI, CI/CD & BigQuery
Job Type: Full-Time
Location: Chennai, India
Experience: 6–10 Years
Open Positions: 2,30100
Compensation: Up to ₹30 LPA (Final compensation will depend on current CTC, experience, and market alignment.)
Position Overview
We are looking for an experienced AI/ML Engineer to design and develop intelligent applications, cognitive solutions, and advanced machine learning models that solve complex business problems. The ideal candidate will have strong expertise in AI/ML, BigQuery, CI/CD, cloud-native technologies, and modern software engineering practices.
Key Responsibilities
Analyze business requirements and translate them into AI/ML models and intelligent solutions.
Design, build, and deploy AI-driven applications using structured and unstructured data.
Develop predictive models, automation workflows, and intelligent data processing solutions.
Perform large-scale data analysis, experimentation, and model optimization.
Build solutions leveraging technologies such as:
Machine Learning
Deep Learning
Generative AI
Natural Language Processing (NLP)
Image Processing
Reinforcement Learning
Intelligent Process Automation
Research and evaluate emerging AI technologies and recommend improvements.
Collaborate with engineering, product, and business teams to deliver scalable AI solutions.
Ensure high standards for code quality, security, and software delivery.
Required Skills
5 years of experience in AI/ML, Software Engineering, or Platform Engineering.
Strong hands-on experience with Google BigQuery.
Experience developing and consuming APIs.
Strong expertise in CI/CD pipelines and automation.
Hands-on experience with GitHub, GitHub Actions, and scripting.
Experience using AI-powered developer tools for code generation, code review, and productivity improvements.
Good understanding of DevSecOps and software delivery automation.
Proficiency in Java and Spring Boot.
Experience with cloud-native platforms, containers, and Kubernetes.
Strong understanding of Agile development methodologies.
Excellent analytical, problem-solving, and communication skills.
Ability to work effectively with cross-functional teams and stakeholders.
Preferred Skills
Experience with AI-enabled developer platforms and engineering tools.
Experience in cloud migration and modernization initiatives.
Strong knowledge of DevSecOps practices.
Experience with container platforms and enterprise application environments.
Familiarity with Linux environments.
AI/ML certifications are an added advantage.
Knowledge of governance, compliance, security standards, and process automation.
Core Competencies
Advanced AI and Machine Learning expertise
Software engineering best practices
Data analysis and interpretation
System design and architecture
Cloud-native application development
Collaboration and stakeholder management
Innovation and continuous learning
Quality-focused development
Project execution and delivery
Candidate Profile
We are seeking a technology professional who enjoys solving complex business problems using AI and modern software engineering practices. The ideal candidate should be collaborative, adaptable, passionate about innovation, and committed to delivering scalable, high-quality solutions.
Additional Information
Interview Process: 2 Video Interview Rounds
Work Schedule: Day Shift
Notice Period: Immediate to 2 weeks preferred
Job Stability: Minimum 2 years with the current or recent organization preferred.
Communication Skills: Excellent verbal and written communication is mandatory.
Candidates should be available for interview coordination within 24–72 hours if shortlisted.
Final compensation will be determined based on experience, current compensation, internal guidelines, and market alignment.