
Ai Ml Engineer
19 hours ago
Job Description: Core AI/ML Engineer
Location: (Visakhapatnam / Remote)
Employment Type: Full-time
About the Role
We are seeking a talented AI/ML Engineer to join our team. In this role, you will design, build,
and deploy machine learning models and AI systems to solve real-world problems. You will work
closely with data scientists, product managers, and engineers to transform raw data into
intelligent applications.
Key Responsibilities
- Model Development
Research, design, and implement machine learning and deep learning
algorithms.
Train, fine-tune, and evaluate models for classification, regression, NLP, CV, or
recommendation tasks.
Optimize model performance for accuracy, latency, and scalability.
- Data Engineering
Collect, preprocess, and analyze large structured/unstructured datasets.
Build pipelines for data cleaning, feature engineering, and augmentation.
Ensure data quality, reproducibility, and versioning.
- Deployment & Infrastructure
Package and deploy models into production environments (APIs, microservices,
cloud).
Monitor models in production for drift, reliability, and fairness.
Use MLOps best practices (CI/CD, experiment tracking, containerization).
- Collaboration & Research
Work with cross-functional teams to identify AI/ML opportunities.
Stay up to date with the latest research and tools in AI/ML.
Document experiments, share insights, and publish internal reports.
Qualifications
Must-have:
- Bachelors/Master's in Computer Science, Data Science, AI/ML, or related field.
- 4+ years of hands-on experience in machine learning or deep learning.
- Strong programming skills in Python; familiarity with libraries like PyTorch, TensorFlow,
scikit-learn.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Knowledge of SQL and data handling at scale.
- Familiarity with cloud platforms (AWS, GCP, Azure).
Nice-to-have:
- Exposure to NLP, Computer Vision, or Generative AI.
- Experience with distributed training frameworks (Horovod, DeepSpeed, FSDP).
- Knowledge of MLOps tools (MLflow, Kubeflow, Airflow).
- Contributions to open-source ML projects.
Soft Skills
- Strong problem-solving and critical-thinking abilities.
- Clear communication skills and ability to work in cross-functional teams.
- Passion for learning and staying on top of AI/ML advancements.
What We Offer
- Competitive compensation + benefits.
- Opportunity to work on impactful AI/ML projects across domains.
- Access to modern tools and cloud infrastructure.
- Collaborative, research-driven environment.
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