AI & Machine Learning Engineer

4 days ago

Madurai, India TRDFIN Support Services Pvt Ltd Full time

Job Summary We 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 Responsibilities 1. AI/ML Model Development - Design, 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 & Processing - Work 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 Deployment - Deploy 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 & Innovation - Stay 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 Collaboration - Work 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 & Qualifications Technical Skills - Strong 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 & Experience - Bachelor’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 Skills - Strong 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. Salary - Competitive and based on experience.

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