Machine Learning 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.

Location : Goregaon East, Mumbai

Experience : 2-3 years

Salary : 60k per month