Software Engineer – AI/ML (Python/Java)

Position:

Experience:

Location:

Employment Type:

About the Role

We are seeking a highly skilled Software Engineer with strong expertise in Python and Core Java, along with proven experience in AI/ML projects. The role requires building and deploying end-to-end ML solutions, applying ML Ops practices, and leveraging cloud resources. A strong foundation in OOPS and database/SQL skills is essential.

Key Responsibilities

• Design, develop, and deploy AI/ML solutions using Python.
• Implement

  end-to-end ML workflows

  : data ingestion, preprocessing, training, validation, deployment, and monitoring.
• Collaborate with cross-functional teams including data scientists, ML engineers, and product managers.
• Apply

  ML Ops best practices

  (CI/CD, monitoring, retraining pipelines).
• Leverage

  cloud services

  (AWS) for ML pipelines, compute, and storage.
• Contribute to backend development using

  Core Java

  and OOPS principles.
• Design and optimize

  SQL queries and database schemas

  for performance and scalability.

Required Skills & Experience

• 3–5 years of professional experience

  in software development.
• Strong proficiency in

  Python development

  with hands-on

  AI/ML project experience

  .

• 2 years of working experience in Core Java

  with solid

  OOPS concepts

  .
• Proficiency in

  SQL and relational databases

  (schema design, query optimization).
• Knowledge of

  ML Ops tools and practices

  (CI/CD, monitoring, lifecycle management).
• Hands-on experience with

  cloud-based ML platforms

• Familiarity with ML frameworks/libraries:

  TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy

  .

Good to Have

• Experience with

  Docker, Kubernetes

  or other containerization/orchestration tools.
• Exposure to

  microservices or serverless architectures

  .
• Understanding of

  data engineering workflows

  (ETL pipelines, feature stores, data lakes).

What We Offer

• Opportunity to work on

  cutting-edge AI/ML projects

  .
• Collaborative, innovative, and growth-driven work culture.
• Modern tech stack with cloud-native ML Ops pipelines.
• Competitive salary and comprehensive benefits package.