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