Senior Python Developer

• ML Engineer Python, KServe, KubeFlow Spark, SQL

5 to 6 Years experience in python ml

Job Title: Lead Python Developer (with ML Expertise)

Job Title: Lead Python Developer (with ML Expertise)

Experience: 8 - 12 Years

Location : Hinjewadi Phase - 2, Pune

Employment Type: Full-time

Job Description

We are looking for a seasoned Senior Python Developer with 810 years of experience who can not only build and deploy scalable Python and ML/GenAI solutions but also lead and mentor a technical team. The ideal candidate will drive end-to-end project delivery, ensure high engineering standards, and act as a technical lead for peers and junior members.

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Key Responsibilities

Develop, test, and deploy high-quality Python-based applications and services.

Lead and coordinate a small engineering team: assign tasks, conduct code reviews, provide technical guidance, and ensure timely delivery.

Mentor junior and mid-level engineers, fostering best practices in design, coding, testing, and deployment.

Drive end-to-end ML/LLM project lifecycles from development through production deployment.

Build and maintain scalable ML/GenAI pipelines and APIs.

Integrate and operationalize MLOps/GenAIOps tooling (e.g., MLflow, Kubeflow, KServe, SageMaker).

Design and implement GenAI features such as prompt engineering, RAG pipelines, fine-tuning, and agentic workflows (e.g., using LangChain/AutoGen).

Work with large-scale data processing technologies (PySpark, Kafka, Delta Lake, Hadoop, etc.).

Create and manage CI/CD pipelines for model and application deployment in cloud or distributed environments.

Collaborate cross-functionally to align technical delivery with product/business goals.

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Must-Have Skills

Expert-level Python programming, with solid foundations in software design and data structures.

Proven experience deploying ML/LLM models into production.

Hands-on with MLOps/GenAIOps stacks (MLflow, Kubeflow, SageMaker, etc.).

Familiarity with agentic AI frameworks (LangChain, AutoGen, LangGraph, CrewAI) and their real-world application.

Experience with big data ecosystems (e.g., PySpark, Kafka, HDFS, Delta Lake).

Comfortable owning both development and deployment in cloud/distributed systems (AWS/GCP/Azure, Docker, Kubernetes).

Prior experience leading or mentoring engineering teams.

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Good-to-Have

Experience tuning large language models and integrating vector databases.

Strong grasp of DevOps practices and infrastructure-as-code.

Open-source contributions or participation in AI/GenAI communities.

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Soft Skills

Leadership mindset with ability to motivate and grow engineers.

Strong problem-solving, decision-making, and technical communication.

Ability to balance hands-on delivery with team enablement.

Qualifications

Bachelor's degree in Computer Science, Engineering, or a related field

Benefits

Competitive salary and performance-based bonuses.

Professional development opportunities, including conferences and workshops.

Collaborative and innovative work environment.

Opportunity to work on exciting and impactful projects.

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