Senior Python Developer – AI / Machine Learning

About OvalEdge

OvalEdge is a modern Data Governance and Intelligence company helping enterprises build a strong foundation for Governance and responsible AI. As AI adoption accelerates across industries, our platform ensures organizations can trust their data—governing it for quality, privacy, access, and compliance, and thereby helping organizations make smarter, faster, and safer decisions.

With offices in the US and India, and a fast-growing global footprint, we’re on a mission to democratize data governance and make it actionable for every team. If you're excited about building intelligent products that drive real business impact, OvalEdge is the place to grow your product career.

Main purpose of the Job:

Senior Python Developer with deep expertise in AI and Machine Learning

You will collaborate closely with data scientists, architects, and product teams to turn algorithms into reliable, secure, and scalable platforms.

Key Responsibilities:

• Design, develop, and maintain

  Python-based AI/ML applications and services.

• Build and optimize

  ML pipelines,

  including data ingestion, feature engineering, training, evaluation, and inference.
• Deploy ML models into production using

  REST/gRPC APIs

• Implement and manage

  LLM-based solutions

  (prompt engineering, embeddings, RAG pipelines, model orchestration)
• Optimize model performance, latency, and cost in production environments
• Integrate ML solutions with databases, data warehouses, and message queues
• Ensure

  model monitoring, logging, drift detection, and retraining strategies

• Write clean, testable, and well-documented Python code
• Collaborate on architecture decisions, security, and scalability best practices
• Mentor junior engineers and contribute to technical standards

Required Skills & Qualifications

Core Technical Skills

• Strong proficiency in

  Python (4+ years)

• Experience building and consuming APIs using FastAPI / Flask
• Strong SQL skills; experience with relational and NoSQL databases
• Experience with data processing libraries (Pandas, NumPy)

Hands-on experience with Machine Learning frameworks:

• TensorFlow / PyTorch / Scikit-learn

Solid understanding of:

• Supervised & unsupervised learning
• Model evaluation and tuning
• Feature engineering

Academic Background

• Bachelor’s degree / Master’s Degree in Computer Science, Information Technology.

AI / Advanced Capabilities:

• Practical experience with

  Generative AI / LLMs

  (OpenAI, Anthropic, HuggingFace, etc.)

Experience with:

• Embeddings & vector databases (FAISS, Pinecone, Weaviate, Elasticsearch, etc.)
• Retrieval-Augmented Generation (RAG)
• Understanding of

  model lifecycle management

  and MLOps concepts

DevOps & Cloud

• Experience with

  Docker

  and containerized deployments
• Familiarity with

  cloud platforms

  (AWS / Azure / GCP)
• Experience with CI/CD pipelines for ML workloads
• Knowledge of monitoring tools and observability for ML systems

Good to Have

• Experience with

  MLOps tools

  (MLflow, Kubeflow, SageMaker, Vertex AI)
• Knowledge of

  distributed systems

  and data processing (Spark, Kafka)
• Exposure to

  security, compliance, and data governance

  in AI systems
• Experience working in

  enterprise-scale or SaaS platforms

• Contributions to open-source ML or AI projects

What We Look For

• Strong problem-solving and analytical thinking
• Ability to translate business problems into ML solutions
• Passion for building

  production-grade AI

  , not just prototypes
• Clear communication and collaboration skills
• Curious to keep up with the fast-moving AI landscape