Ovii Job Board

Software Engineer, AI/ML

Valgenesis

Hyderabad, India • Onsite - Hyderabad, India • Full-Time • 2-4 years

Posted 2026-05-11 Tech & Engg

Apply on employer site

Job Description

Ovii's Interpretation of the Role

We are looking for a software engineer who will design, build, and deploy production‑grade AI/ML models that drive business outcomes for life‑science customers. The role sits in the AI/ML team, works onsite in Hyderabad, and collaborates closely with product, engineering, and domain experts.

Role Snapshot

  • AI/ML engineering
  • Production‑grade model development
  • Onsite Hyderabad
  • Full‑time individual contributor
  • 2‑4 years experience

Must-Have Requirements

  • Python
  • Rust
  • Pandas
  • NumPy
  • SciPy
  • OpenCV
  • scikit-learn
  • TensorFlow
  • PyTorch
  • LangChain
  • LlamaIndex
  • Vector DBs
  • Neo4j
  • ArangoDB
  • Kubeflow
  • MLflow
  • AI/ML engineering
  • ML model development
  • MLOps platform usage
  • Advanced degree in Computer Science, Machine Learning or related field

Nice-to-Have Signals

  • Life‑science domain experience

Work Setup

  • Location: Hyderabad, India
  • Work mode: ONSITE
  • Employment type: Full-Time

Eligibility Gates

  • Visa sponsorship: unknown

Not Specified in JD

  • Salary range
  • Visa sponsorship
  • Remote eligibility
  • Equity
  • Bonus

What You'll Likely Work On

  • Implement and deploy ML solutions that improve revenue, engagement, and customer satisfaction
  • Collaborate with data product managers, software engineers, and domain SMEs to surface AI/ML opportunities
  • Build production‑ready models for recommendation, generation, and predictive analytics
  • Monitor model performance, conduct feature engineering, and run experiments for continuous improvement
  • Stay current with AI/ML research and help shape its adoption in the life‑science industry

Good Fit If You Have

  • Strong communication and interpersonal skills
  • Interest in life‑science domain challenges
  • Ability to work collaboratively in an onsite team environment

Skills

  • Python or Rust
  • Data‑science libraries (Pandas, NumPy, SciPy, OpenCV)
  • ML frameworks (scikit‑learn, TensorFlow, PyTorch)
  • GenAI tools (LangChain, LlamaIndex, Vector DBs)
  • Graph databases (Neo4j, ArangoDB)
  • MLOps platforms (Kubeflow, MLflow)
  • Model monitoring & feature engineering
  • Software product lifecycle & DevOps