Job Title

Job Summary We are seeking a highly skilledAI & ML Engineerto 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.