Senior Machine Learning Engineer (ML & AI)

BuildxPartners

Chennai District

On-site

INR 2,000,000 - 3,000,000

Full time

14 days+

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Job summary

BuildxPartners is seeking a highly skilled Senior AI/ML Engineer to join their dynamic team in Chennai, India. This role focuses on building next-generation applications for global customers in the life sciences sector. Candidates should have over 4 years of experience in AI/ML engineering and a strong understanding of machine learning models.

Key responsibilities include designing AI solutions, collaborating with teams, and mentoring junior engineers. The company values innovation, technical excellence, and provides opportunities to work with cutting-edge technologies.

Qualifications

  • 4+ years of experience in AI/ML engineering with exposure to complex, scalable projects.
  • Strong expertise in one or more AI/ML areas.
  • Proven experience in deploying machine learning models.

Responsibilities

  • Design, implement, and deploy machine learning solutions.
  • Collaborate with teams to identify AI/ML opportunities.
  • Develop production-grade ML models for various use cases.

Skills

Causal AI
Reinforcement Learning
Generative AI
NLP
Computer Vision
Python
MLOps

Education

Advanced degree in Computer Science, Machine Learning, or related field

Tools

Kubeflow
MLflow
scikit-learn
TensorFlow
PyTorch

Job description

  • Industry Pharma/Biotech/Clinical Research
  • Experience Years (Min) 4
  • Experience Years (Max) 8
  • Min Salary (Lpa) ₹ 20.00
  • Max Salary (Lpa) ₹ 30.00
  • Province Tamil Nadu
  • Country India
  • Postal Code 600113
About Us

BuildxPartners is a global talent solutions firm delivering end-to-end recruitment and workforce solutions across industries and geographies.

BuildxAlpha – Executive & Leadership Search Focused on C-suite, board, and global executive hiring.

BuildxSigma – Comprehensive Talent Across Levels Covering junior, mid-level, and senior professionals.

BuildxGCC – Global Capability Center Solutions Specializing in Build, Operate, Transfer (BOT) model for Global Capability Centers, GCC supports companies in setting up, scaling, and transferring GCCs.

Job Description

About the Company

A leading digital validation platform provider for life sciences companies. The platform is widely adopted by top global pharmaceutical and biotech organizations to drive digital transformation, ensure compliance, and enable manufacturing excellence across the product lifecycle.

Job Description

We are seeking a highly skilled Senior AI/ML Engineer to join a dynamic team focused on building next-generation applications for global customers. If you are passionate about cutting-edge technology and innovation, this role offers an exciting opportunity to make a meaningful impact.

Key Responsibilities

  • Design, implement, and deploy machine learning solutions to solve complex business problems and deliver measurable value (revenue, engagement, customer satisfaction).
  • Collaborate with product managers, software engineers, and domain experts to identify AI/ML opportunities that improve process efficiency.
  • Develop production-grade ML models for use cases such as customer experience enhancement, recommendation systems, content generation, and predictive analytics.
  • Monitor and continuously improve model performance through data enhancement, feature engineering, experimentation, and evaluation.
  • Stay updated with advancements in AI/ML and contribute to innovation within the life sciences domain.
  • Mentor junior engineers and promote a culture of continuous learning and technical excellence.
Requirements
  • 4+ years of experience in AI/ML engineering with exposure to complex, scalable projects.
  • Strong expertise in one or more areas: Causal AI, Reinforcement Learning, Generative AI, NLP, Computer Vision, Sequential Models, or Dimensionality Reduction.
  • Proven experience in building, deploying, and maintaining machine learning models in real-world environments.
  • Solid understanding of software development lifecycle and DevOps practices (CI/CD, deployment tools, etc.).
  • Strong programming skills in Python, Scala, Go, Rust, or similar languages.
  • Experience with MLOps tools such as Kubeflow or MLflow.
  • Hands-on experience with ML frameworks like scikit-learn, TensorFlow, or PyTorch.
  • Exposure to GenAI tools such as LangChain, LlamaIndex, and vector databases.
  • Excellent communication and interpersonal skills.
  • Experience in the life sciences domain is a plus.
  • Advanced degree in Computer Science, Machine Learning, or a related field preferred.

The company is an equal opportunity employer and is committed to fostering an inclusive workplace. All qualified applicants will be considered without regard to race, age, religion, gender identity, disability, or any other protected status.

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