AI/ML Engineer - Data Modeling

Quanteon Solutions

4 - 5 years

0 Lacs

itanagar arunachal pradesh india

Posted:1 week ago| Platform:

Apply

Skills Required

ai ml data design learning processing model deployment programming preprocessing engineering training evaluation scalability analysis versioning monitoring research architecture development python numpy tensorflow pytorch algorithms networks rest docker kubernetes aws gcp mlflow airflow spark hadoop communication sagemaker vertex tuning duration

Work Mode

Remote

Job Type

Contractual

Job Description

Description

We are looking for 4-5 years of experienced AI/ML Engineer who can design, develop, and deploy scalable machine learning models and AI-driven solutions. The ideal candidate should have strong expertise in data processing, model building, and production deployment, along with solid programming and problem-solving skills.

Key Responsibilities

Develop and deploy machine learning, deep learning, and NLP models for various business use cases.
Build end-to-end ML pipelines including data preprocessing, feature engineering, training, evaluation, and production deployment.
Optimize model performance and ensure scalability in production environments.
Work closely with data scientists, product teams, and engineers to translate business requirements into AI solutions.
Conduct data analysis to identify trends and insights.
Implement MLOps practices for versioning, monitoring, and automating ML workflows.
Research and evaluate new AI/ML techniques, tools, and frameworks.
Document system architecture, model design, and development processes.

Required Skills

Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, Keras).
Hands-on experience in building and deploying ML/DL models in production.
Good understanding of machine learning algorithms, neural networks, NLP, and computer vision.
Experience with REST APIs, Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure).
Working knowledge of MLOps tools such as MLflow, Airflow, DVC, or Kubeflow.
Familiarity with data pipelines and big data technologies (Spark, Hadoop) is a plus.
Strong analytical skills and ability to work with large datasets.
Excellent communication and problem-solving abilities.

Preferred Qualifications

Bachelors or Masters degree in Computer Science, Data Science, AI, Machine Learning, or related fields.
Experience in deploying models using cloud services (AWS Sagemaker, GCP Vertex AI, etc.).
Experience in LLM fine-tuning or generative AI is an added advantage.

Additional Information

Work Mode : Remote
Project Duration : 1-year contract (with the possibility of extension based on project requirements)
Shift Timings : 2 : 00 PM 11 : 00 PM IST
Employment Type : Contract Position

(ref:hirist.tech)

Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.