Data Scientist AI and ML

Birlasoft; Pune District, Pimpri-Chinchwad; On-site; INR 4,200,000 - 6,000,000; Full time

Job summary

Birlasoft is hiring for a senior AI/ML engineer to design and deliver robust models across BFSI, EnU, Life Sciences, and Manufacturing. You will own end-to-end ML projects from data exploration to deployment, collaborating with cross-functional teams to align with business goals and governance standards.

You will leverage Python/R and ML libraries, work with cloud ML services, and mentor junior data scientists while translating complex concepts into business-friendly language.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.
• 4+ years of experience in AI/ML development focusing on solution design, model development, and deployment.
• Experience building ML solutions across BFSI, EnU, Life Sciences, and Manufacturing.
• Proficiency in Python or R and ML libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong knowledge of supervised, unsupervised, and reinforcement learning.
• Experience with cloud ML services (AWS, Azure, GCP).
• Excellent communication to convey technical concepts to non-technical audiences.

Responsibilities

• Design and develop robust AI/ML solutions for multiple industry verticals including BFSI, EnU, Life Sciences, and Manufacturing.
• Collaborate with cross-functional teams to gather requirements and translate them into scalable ML architectures.
• Lead end-to-end ML projects—from data exploration to deployment and monitoring.
• Evaluate ML algorithms, frameworks, and tools to optimize performance and scalability.
• Research emerging ML techniques and provide insights for continuous innovation.
• Define data governance, model versioning, and deployment strategies for compliance and reproducibility.
• Mentor junior developers and data scientists and communicate progress to stakeholders.

Skills

Python

R

Scikit-learn

XGBoost

TensorFlow

PyTorch

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

AWS

Azure

GCP

SageMaker

Azure ML

Vertex AI

Job description

• Design and develop robust AI/ML solutions tailored to industry verticals such as Banking, Financial Services, Insurance (BFSI), Energy & Utilities (EnU), Life Sciences, and Manufacturing.
• Collaborate with cross-functional teams to gather business requirements and translate them into scalable machine learning architectures.
• Lead the end-to-end lifecycle of ML projects—from data exploration and model development to deployment and monitoring—ensuring alignment with organizational standards and best practices.
• Evaluate and select appropriate ML algorithms, frameworks, and tools to optimize model performance, scalability, and interpretability.
• Conduct research on emerging ML techniques and technologies, providing insights for continuous innovation and improvement.
• Define and implement data governance, model versioning, and deployment strategies to ensure compliance, reproducibility, and ethical use of AI.
• Mentor junior developers and data scientists, fostering a collaborative and innovative team culture.
• Communicate technical solutions and project progress to stakeholders and leadership, translating complex ML concepts into business-friendly language.

Area(s) of responsibility

• Design and develop robust AI/ML solutions tailored to industry verticals such as Banking, Financial Services, Insurance (BFSI), Energy & Utilities (EnU), Life Sciences, and Manufacturing.
• Collaborate with cross-functional teams to gather business requirements and translate them into scalable machine learning architectures.
• Lead the end-to-end lifecycle of ML projects—from data exploration and model development to deployment and monitoring—ensuring alignment with organizational standards and best practices.
• Evaluate and select appropriate ML algorithms, frameworks, and tools to optimize model performance, scalability, and interpretability.
• Conduct research on emerging ML techniques and technologies, providing insights for continuous innovation and improvement.
• Define and implement data governance, model versioning, and deployment strategies to ensure compliance, reproducibility, and ethical use of AI.
• Mentor junior developers and data scientists, fostering a collaborative and innovative team culture.
• Communicate technical solutions and project progress to stakeholders and leadership, translating complex ML concepts into business-friendly language.

Must-Have Skills

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• 4+ years of experience in AI/ML development, with a strong focus on solution design, model development, and deployment.
• Proven experience building ML solutions across multiple verticals, especially BFSI, EnU, Life Sciences, and Manufacturing.
• Strong proficiency in programming languages such as Python or R, and hands‑on experience with ML libraries like Scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Solid understanding of supervised, unsupervised, and reinforcement learning algorithms.
• Experience with cloud platforms (AWS, Azure, GCP) and their ML services (e.g., SageMaker, Azure ML, Vertex AI).
• Strong analytical and problem‑solving skills, with the ability to work in fast‑paced environments.
• Excellent communication skills to convey technical concepts to non‑technical audiences.

Good‑to‑Have Skills

• Experience with big data technologies (e.g., Spark, Hadoop) and data engineering workflows.
• Familiarity with MLOps practices and tools for CI/CD in ML pipelines (e.g., MLflow, Kubeflow, Airflow).
• Exposure to AI governance frameworks and responsible AI practices.
• Prior experience in consulting or client‑facing roles delivering ML solutions.
• Advanced certifications in AI/ML or cloud technologies (e.g., AWS Certified ML Specialist, Azure AI Engineer Associate).