AI & Machine Learning Engineer

1 week ago

Tamil Nadu India, 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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