Senior Data Scientist

Jobgether; India; On-site; INR 350,000 - 700,000; Full time

Benefits offered by this job

Full-time employment

Growth opportunities

Exposure to AI research

Job summary

Jobgether seeks a Senior Data Scientist based in India to advance AI and machine learning capabilities within enterprise automation. You will design, deploy, and productionize ML systems for IT operations and AIOps, collaborating with cross-functional teams to drive innovation and scalability.

You will apply statistical modeling, time-series analysis, anomaly detection, and NLP techniques, translating research into practical, scalable solutions while mentoring colleagues and upholding best

Qualifications

• Bachelor's degree in CS/Engineering/Math or related discipline; advanced AI/ML degree preferred.
• At least 4 years of ML engineering experience with demonstrated research or production capabilities.
• Strong knowledge of statistical modeling, time-series analysis, and deep learning is a plus.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow) and NLP.

Responsibilities

• Design, build, and deploy production-grade ML systems from prototype to production.
• Improve reliability, scalability, and maintainability of ML services.
• Research and implement innovative AI approaches and stay updated with new developments.
• Develop ML solutions for AIOps and IT operations using large-scale data.
• Translate research findings into production implementations.
• Collaborate with product, data science, and engineering teams to align AI solutions with business goals.
• Mentor team members and promote engineering best practices.

Skills

Python

PyTorch

TensorFlow

NLP

AIOps

Time-series

Education

Bachelor's degree

Advanced degree preferred

Tools

scikit-learn

Hugging Face

Spark

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in India.

The Senior Data Scientist will play a key role in advancing AI and machine learning capabilities within an innovative enterprise automation environment. This position combines applied research, hands-on software engineering, and the development of production-ready machine learning systems. You will design and deploy advanced AI solutions, transforming complex operational data into actionable intelligence for IT operations and AIOps applications. Working closely with engineering leaders, product managers, and cross-functional teams, you will influence technical decisions and drive innovation from experimentation to production. You will also contribute to improving the reliability, scalability, and performance of intelligent services. This is an opportunity to work on cutting-edge AI technologies while helping shape the next generation of enterprise automation solutions.

Accountabilities

Responsibilities

• Design, build, and deploy production-grade machine learning systems, taking solutions from initial prototypes through to production environments.
• Improve the reliability, accuracy, scalability, and maintainability of existing machine learning services.
• Research and implement innovative AI and machine learning approaches, staying up to date with emerging technologies, methodologies, and scientific developments.
• Develop machine learning solutions for AIOps and IT operations using large-scale operational datasets.
• Translate research findings and scientific publications into practical, production-ready implementations.
• Design and optimize machine learning models, including model selection, feature engineering, and performance optimization strategies.
• Apply statistical modeling, time-series analysis, anomaly detection, and other advanced machine learning techniques to solve complex operational challenges.
• Collaborate with product managers, data scientists, engineering teams, and other stakeholders to align AI/ML solutions with business and product objectives.
• Work closely with AI Systems Technical Leads to deliver optimized AI systems and services into production.
• Communicate technical findings, insights, and recommendations clearly to both technical and non-technical stakeholders.
• Document research, development processes, model performance, and implementation decisions.
• Establish and maintain best practices for ML experimentation, model versioning, reproducibility, testing, and deployment.
• Take ownership of production system performance, proactively identifying technical issues and implementing effective solutions.
• Guide engineering decisions and mentor other team members, promoting high standards in system design, code quality, and AI-assisted development.
• Identify technical debt, scalability challenges, and opportunities for continuous improvement across machine learning systems.

Requirements

• A Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline. An advanced degree in AI, Machine Learning, or a related field is preferred.
• At least 4 years of experience in machine learning engineering, with demonstrated advanced development or research capabilities through innovative projects, publications, or academic theses.
• Strong understanding of statistical modeling, machine learning fundamentals, and time-series analysis. Knowledge of deep learning is an advantage.
• Advanced Python programming skills and experience with machine learning frameworks and libraries such as PyTorch, TensorFlow, scikit-learn, and Hugging Face.
• Hands-on experience with unsupervised learning and clustering techniques, including applications involving unstructured text data.
• Experience with anomaly detection and time-series forecasting using approaches such as Prophet, VAR, and deep learning models.
• Working knowledge of causal inference and root-cause analysis methodologies.
• Ability to interpret scientific research papers and translate theoretical approaches into practical implementations.
• Strong software engineering fundamentals, including testing, version control, code reviews, and maintainable code development.
• Experience building and operating production machine learning services involving APIs, streaming data, SQL, containers, and cloud environments.
• Essential experience in Natural Language Processing (NLP).
• Familiarity with machine learning experiment tracking, model versioning, and reproducible research practices.
• Research publications or open-source contributions in machine learning are preferred.
• Previous experience in AIOps, observability, or IT Service Management (ITSM) is an advantage.
• Excellent collaboration and communication skills, with the ability to work effectively across product, data science, and engineering teams.
• Strong analytical thinking and problem-solving abilities, particularly when diagnosing complex production issues.
• A strong sense of ownership and accountability, with a focus on system reliability, performance, and operational excellence.
• Technical leadership and mentoring capabilities, with the ability to guide colleagues and promote engineering best practices.
• A continuous improvement mindset and proactive approach to identifying technical challenges and innovative solutions.

Benefits

• Full-time employment opportunity.
• Opportunity to contribute to cutting-edge AI and machine learning research and product development.
• Hands-on involvement in taking innovative machine learning solutions from research and experimentation through to production.
• Exposure to advanced AI technologies, intelligent automation, and enterprise-scale applications.
• Opportunity to work on complex AIOps and IT operations challenges using large-scale datasets.
• Collaboration with experienced engineering leaders and multidisciplinary product and technology teams.
• Opportunities to demonstrate technical leadership, mentor colleagues, and influence engineering decisions.
• Professional growth through continuous exposure to emerging AI/ML research, tools, and methodologies.
• Opportunity to contribute to innovative enterprise AI solutions with measurable real-world impact.

We appreciate your interest and wish you the best!