AI & Machine Learning Engineer

4 days ago

Tiruppur, India TRDFIN Support Services Pvt Ltd Full time

Job SummaryWe are seeking a highly skilled AI & ML Engineer to design, develop, and deploy advanced machine learning models and AI solutions. The ideal candidate will have a strong understanding of algorithms, data processing, model optimization, and production-grade ML pipelines. This role involves collaborating with cross-functional teams to solve complex business problems using AI-driven approaches.Key Responsibilities1. AI/ML Model DevelopmentDesign, build, and train machine learning models (supervised, unsupervised, NLP, deep learning).Develop predictive models and algorithms to address business problems.Optimize models for accuracy, performance, and scalability.2. Data Engineering & ProcessingWork with large datasets: cleaning, preprocessing, transforming, and feature engineering.Collaborate with data engineers to improve data quality and pipeline efficiency.Build reliable data ingestion processes.3. AI System DeploymentDeploy machine learning models into production environments.Build and maintain end-to-end ML pipelines (MLOps).Monitor model performance, retrain models, and manage lifecycle updates.4. Research & InnovationStay updated with the latest trends in AI, deep learning, LLMs, and automation.Experiment with new frameworks, architectures, and techniques.Conduct PoCs (Proof of Concepts) for emerging AI-driven solutions.5. Cross-Team CollaborationWork with product, tech, and business teams to define AI requirements.Communicate findings and insights through reports, dashboards, and visualizations.Integrate AI models with existing software applications or platforms.Required Skills & QualificationsTechnical SkillsStrong knowledge of ML algorithms, deep learning architectures, and NLP techniques.Proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn, Keras).Experience with data tools (Pandas, NumPy, SQL, Spark).Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools (Docker, Kubernetes, CI/CD).Understanding of LLMs, vector databases, embeddings, and generative AI tools (optional but a huge plus).Education & ExperienceBachelor’s/Master’s degree in Computer Science, AI, ML, Data Science, or related field.2+ years of experience in machine learning or AI development.Prior experience deploying models into production is preferred.Soft SkillsStrong problem-solving and analytical thinking.Excellent communication and collaboration skills.Ability to work in fast-paced, agile environments.Curious, innovative, and proactive mindset.Preferred Qualifications (Optional)Experience with Reinforcement Learning, Transformers, or advanced Deep Learning.Knowledge of LLM fine-tuning, RAG systems, or AI automation workflows.Contributions to open-source ML projects.SalaryCompetitive and based on experience.

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