AI/ML Engineer

We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy machine learning and deep learning solutions that drive innovation and business value. The ideal candidate will have hands-on experience with data preprocessing, model development, optimization, deployment, and monitoring in production environments.

You will work cross-functionally with data scientists, data engineers, and software developers to integrate AI-driven features into our products and services.

Key Responsibilities

Model Development & Implementation

• Design, train, and optimize machine learning and deep learning models for predictive analytics, natural language processing, computer vision, or recommendation systems.
• Perform feature engineering, data preprocessing, and exploratory data analysis (EDA).
• Evaluate models using appropriate metrics and validation techniques.
• Implement scalable ML pipelines and experiment tracking.

Deployment & MLOps

• Build and maintain end-to-end ML pipelines, from data ingestion to model serving.
• Deploy models into production using tools like Docker, Kubernetes, TensorFlow Serving, TorchServe, or MLflow.
• Monitor model performance, perform drift detection, and retrain models as needed.
• Collaborate with DevOps to ensure CI/CD for ML workflows.

Collaboration & Research

• Partner with data scientists, software engineers, and product managers to identify opportunities for AI integration.
• Stay up to date with emerging trends in AI, ML, and GenAI technologies.
• Contribute to technical documentation, code reviews, and internal knowledge sharing.

Data Management

• Work closely with data engineering teams to ensure clean, structured, and accessible datasets.
• Apply techniques for data augmentation, dimensionality reduction, and data quality improvement.

Required Skills and Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, or a related field.
• 2–5+ years of experience (adjust based on role level) in building and deploying ML models in production.
• Proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, Hugging Face Transformers, etc.
• Strong understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, LSTMs, Transformers), and statistical modeling.
• Experience with SQL, Pandas, NumPy, and data visualization tools (Matplotlib, Seaborn, Plotly).
• Knowledge of MLOps frameworks (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, etc.).
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

• Experience with large language models (LLMs) and generative AI (GenAI).
• Exposure to vector databases (Pinecone, FAISS, Milvus) and retrieval-augmented generation (RAG) systems.
• Background in data engineering (ETL, data pipelines) or software engineering (API development).
• Publications or contributions to open-source AI/ML projects.

Soft Skills

• Strong analytical mindset and curiosity for data-driven insights.
• Ability to translate complex technical concepts into actionable business outcomes.
• Collaboration and teamwork across multi-disciplinary teams.
• Ownership mentality and accountability for deliverables.

Job Types: Full-time, Permanent

Pay: From ₹33,000.00 per month

Work Location: In person