127 AI Ml Senior Engineer 5 To 10yrs Exp Only jobs in Madurai

StitchFin is an innovative startup revolutionizing the healthcare space by building cutting-edge AI solutions. We are seeking an enthusiastic AI Engineer to lead the development of cutting-edge voice AI systems and intelligent agents. In this role, you will design, develop, and deploy advanced AI models and systems that deliver exceptional user experiences through conversational interfaces.

Responsibilities

AI Development and Deployment

• Develop and maintain AI-driven, real-time speech-to-speech conversational agents
• Build low-latency, high-impact features that enhance user experiences
• Design and implement end-to-end AI pipelines
• Optimize AI systems for performance, scalability, and reliability
• Collaborate on defining and tracking success metrics for AI features

Technical Requirements

• 5+ years of hands-on software engineering experience with Python or similar languages
• Experience building and scaling distributed systems in cloud environments
• Proficiency in API design
• Proficiency with generative AI frameworks and tools
• Hands on experience with large language models, prompt engineering.
• Demonstrated ability to write clean, maintainable, and well-tested code
• Experience with CI/CD pipelines, cloud platforms like AWS and deployment automation
• Knowledge of monitoring, observability, and production debugging tools
• Familiarity with vector databases

Preferred Qualifications

• Experience in Healthcare or financial services industry.
• Experience building AI voice assistants or conversational agents
• Contributions to open-source AI projects or GitHub repositories demonstrating relevant work
• Knowledge of multimodal AI systems combining text, voice, and other inputs

What We Offer

• Opportunity to work on cutting-edge AI technology with real-world impact
• Competitive compensation and benefits package

Qualified candidates are encouraged to submit their resume along with links to relevant GitHub repositories or project examples that demonstrate experience with AI or related technologies.

Job Description:

Job Title: Senior AI/ML Engineer

Shift Timings: General Shift Timings

Location: INDIA, REMOTE, Work from Home

Experience Required: 3 - 10 Years

Job Description

We are looking for a Senior AI/ML Engineers to join our team and help us build intelligent, scalable, and impactful solutions. In this role, you'll contribute to all phases of the ML lifecycle, from ideation to deployment, and play a key role in delivering high-quality, production-ready applications.

• Skills and Responsibilities 3-10 Years of work experience with Machine Learning and software development.
• Degree in computer science or related field.
• Proficient in Python & software development best practices.
• Excellent written and verbal communication skills in English.
• Ability to provide expert advice by communicating a structured narrative to non-technical staff and clients.
• A coaching & knowledge sharing mindset.
• Experience with deploying ML models to a large user base.
• Worked on one of the major Cloud providers (AWS, Azure, GCP).
• Familiarity with MLOps way of working.
• Took a leading technical role in a team structure (considered as a plus).
• an engineer that understands customer business needs and translate them into end-to-end technical solutions (from conception to deployment).
• Make applications that are carefully architected, scalable and robust through your combined skills in engineering and machine learning.
• Use Python to deploy production ready pipelines and ML models on the Cloud.
• Explore state-of-the art ML research and drive internal evaluation and adoption of cutting edge tools and frameworks.
• Are responsible for the high-quality delivery of your team’s projects.
• Technically guide junior engineers.
• Deliver technical workshops for clients.
• Leverage your expertise to help sales qualify and land exciting projects.
• Take ownership to lead projects with confidence as a tech lead.

AI Engineer - Manufacturing Analysis Platform

Company Overview

We are building the next generation of AI-powered manufacturing analysis tools, starting with a revolutionary browser-based platform that enables engineers to instantly analyze plastic injection molding designs. Our mission is to democratize advanced manufacturing analysis by making sophisticated DFM (Design for Manufacturing) and moldflow analysis accessible to engineers worldwide through an intuitive drag-and-drop interface.

Role Overview

We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You'll be architecting and implementing machine learning models that can analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability. This is a founding engineering role with significant ownership and growth potential.

Key Responsibilities

AI/ML Development

• Design and implement ML models for geometric analysis of injection molded plastic parts
• Develop computer vision algorithms for automated feature detection in 3D CAD models
• Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis
• Create real-time inference engines optimized for browser-based deployment using TensorFlow.js/ONNX.js
• Design data pipelines for continuous model training and improvement

Platform Architecture

• Architect browser-based AI systems that can process large 3D models efficiently
• Integrate STEP/STL file processing with AI analysis workflows
• Develop WebAssembly modules for high-performance geometry computation
• Build scalable model serving infrastructure supporting real-time analysis
• Implement feedback loops to continuously improve model accuracy

Manufacturing Analysis

• Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
• Build moldflow simulation capabilities using AI-accelerated CFD techniques
• Create cost optimization engines that recommend design changes for manufacturability
• Implement quality prediction models for common injection molding defects
• Design automated report generation with actionable manufacturing insights

Research & Innovation

• Stay current with AI/ML advances in manufacturing and CAD analysis
• Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
• Collaborate with manufacturing experts to validate and improve AI recommendations
• Publish research and represent the company at industry conferences

Required Qualifications

Technical Expertise

• 4+ years of AI/ML engineering experience with production deployments
• Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks
• Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
• JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)
• Computer vision and geometric deep learning experience
• Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
• Experience with fine tuning ML models

Software Engineering

• WebAssembly development for high-performance browser applications
• Cloud platform experience (AWS, GCP, Azure) for model training and deployment
• Database design for handling large geometric datasets
• Version control and CI/CD best practices

Mathematical Foundation

• Strong linear algebra and calculus background
• Statistics and probability for uncertainty quantification
• Computational geometry and mesh processing algorithms
• Optimization techniques for design parameter tuning

Preferred Qualifications

Domain Knowledge

• Manufacturing engineering background in injection molding or similar processes
• CAD software experience (SolidWorks, Fusion 360, etc.)
• Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
• Materials science knowledge for plastic properties and behavior

Advanced Technical Skills

• Graph neural networks for representing CAD geometry
• Reinforcement learning for design optimization
• Physics-informed neural networks for manufacturing simulation
• Edge computing and model compression techniques
• Real-time rendering with WebGL/Three.js

Education & Experience

• Bachelors or Masters in Computer Science, Engineering, or related field
• 2+ years in manufacturing technology or CAD software companies
• Experience at high-growth startups building technical products from scratch for production
• Open source contributions in AI/ML or manufacturing tools

Job Title: AI Engineer

Experience: 3+ yrs

Location: Remote options available

Role Overview:

We are seeking a skilled AI Engineer with 3–5 years of hands-on experience in designing, developing, and deploying AI/ML solutions in cloud environments. The ideal candidate will have strong proficiency in Python, experience with both Azure and AWS, and a solid understanding of MLOps practices.

Key Responsibilities:

• Design and implement scalable AI/ML models for banking applications (e.g., fraud detection, credit scoring, customer segmentation).
• Deploy and manage models in production using Azure ML and AWS SageMaker.
• Collaborate with data scientists, software engineers, and DevOps teams to operationalize ML workflows.
• Build and maintain CI/CD pipelines for ML model deployment and monitoring.
• Ensure compliance with data governance, security, and regulatory standards.
• Optimize model performance and resource usage in cloud environments.
• Document processes, models, and deployment strategies for internal knowledge sharing.

Required Skills:

• Programming: Strong Python skills, including libraries like Pandas, NumPy, Scikit-learn, TensorFlow or PyTorch.
• Cloud Platforms: Hands-on experience with Azure ML, AWS SageMaker, and cloud-native services (e.g., Lambda, EC2, S3, Azure Functions).
• MLOps: Familiarity with ML lifecycle tools (MLflow, Kubeflow, Airflow), containerization (Docker), and orchestration (Kubernetes).
• Deployment: Experience deploying models as REST APIs or batch jobs in production environments.
• Version Control & CI/CD: Git, GitHub Actions, Azure DevOps, or AWS CodePipeline.
• Monitoring & Logging: Tools like Prometheus, Grafana, or cloud-native monitoring solutions.
• Preferred Qualifications:
• Experience in the banking or financial services domain.
• Knowledge of data privacy regulations (e.g., GDPR, PSD2).
• Exposure to generative AI or LLM fine-tuning is a plus. (Certifications in Azure or AWS) (e.g., Azure AI Engineer Associate, AWS Certified Machine Learning).

Experience - 4 to 10 years

Desired Competencies

Must-Have**

· Expertise on NLP, LAMA Model

· Expertise AI, ML, GENAI

· Experience on identifying right model and train models.

· Machine learning (ML), Data Science, Statistical modeling.

· Python Programming.

· Develop and maintain a platform that automates creating, training, deploying and updating machine learning models.

· Build, maintain, and optimize machine learning solutions.

· experience building large-scale data pipelines.

· GEN-AI knowledge

Good-to-Have Devops Knowledge

Responsibility of / Expectations from the Role

1 Understanding the requirements.

2 designs, builds, and runs machine learning systems at scale.

3 maintaining the infrastructure that supports the models and algorithms that power the products

4 improving your model's accuracy by tweaking its parameters or updating the data it uses for training

5 Develop and maintain a platform that automates creating, training, deploying and updating machine learning models.

6 Customer Product Documentation

7 Participation in trouble report reviews and analysis

8 System Integration Testing