A career that’s the whole package!
At Conga, we’ve built a community where our colleagues can thrive. Here you’ll find opportunities to innovate and support growth through individual and team development, all within an environment where every voice is heard.
Conga lines up commercial operations so companies run as connected, smarter businesses. By unifying the people and processes that drive commerce, Conga aligns pricing, quoting, contracting, rebates, and communications so teams stay in sync and buyers keep moving forward. The result is trusted decisions, consistent buyer experiences, and profitable growth. More than 10,000 customers worldwide, including over 50% of the Fortune 100®, trust Conga when commercial complexity is high and global impact is on the line.
Job Title: Sr. Machine Learning Engineer
Locations: Bangalore
Reports to: Director
A quick snapshot…
As Sr. Machine Learning Engineer, you will Develop and optimize machine learning solutions by designing, implementing, and fine-tuning functionality for performance, scalability, and efficiency in production. The other responsibilities include data processing, feature engineering, developing, evaluating, and tuning models for optimal run-time performance.
Why it’s a big deal…
This role is important as it balances technical implementation with project leadership, leading small to medium-sized initiatives while owning specific components in a Machine Learning solution.
Are you the person we’re looking for?
Experience. You must have more than 5 years of experience and atleast 2+ years of experience in data science, software development, or data engineering. You are also good in AI model development, training, scoring, and deployment
Optimization. You are good at ML solutions, especially in Machine Learning and optimizing it by designing (25%), implementing, and fine-tuning functionality for performance, scalability, and efficiency in production.
Collaboration. You are good in collaborate on integration and infrastructure by working with engineers to deploy modules, assist with platform upgrades, and enhance automated testing for reliability (25%)
Documentation. You know how to document and support development through detailed technical documentation to ensure clarity and continuity for future enhancement (25%)
Cross functional support. You provide technical support and training to Sales, Implementation, and Support teams
Participation. You will actively participate in code reviews, ensuring that code quality standards are met and that any issues are addressed promptly (10%)
Education. A bachelor’s degree in engineering or equivalent
Here’s what will give you an edge…
Proficiency. You are proficient in Python programming, Manage ML Libraries and TensorFlow, PyTorch, XgBoost, Scikit-learn, Spark ML and code/model versioning in Git, MLFlow.
Platforms. You have worked on Cloud computing platforms like Azure,databricks and know well to work on data analytics tool like Spark and Pandas.
Knowledge and understanding. You have good understanding of software testing, benchmarking, and continuous integration with experience in model management, data versioning, maintaining and orchestrating pipelines. You also know distributed computing and have knowledge of advanced machine learning and AI models such as Neural Network models.
Good to have. It is good if you demonstrate a strong understanding of core AI concepts, terminology, and practical applications. Regularly applies AI tools to improve task execution and decision-making, with growing awareness of ethical implications and responsible use.
Additional certification. Certifications in specialized areas like Natural Language Processing and Recommender systems Azure AI Engineer certification will be an added advantage.
#LI-AR1
Did we pique your interest?
If this sounds like the kind of job you would love in the kind of environment where you would thrive, please click apply. We'd love to hear from you!
Preferred Resume Format
We accept resumes in any format, we suggest using PDF or plain text. These formats help ensure that your resume’s formatting remains intact, making it easier for our recruiters to review your application promptly.
Don’t meet every requirement for the role?
Studies have shown that women and members of ethnic minorities are less likely to apply to jobs unless they meet every single qualification. At Conga we are dedicated to building a diverse, inclusive, and authentic workplace, so if you’re excited about this role but your experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You just might be the right candidate for this or other roles.
Conga is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, color, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristic protected by law. We understand interviewing can be stressful for those with disabilities. If reasonable accommodation is needed to allow you to show us your best self, please let your recruiter know as soon as possible. All your information will be kept confidential according to EEO guidelines. Conga is not open to third party solicitation or resumes for our posted FTE positions. Resumes received from third party agencies that are unsolicited will be considered complimentary.
Conga's Applicant Privacy Statement
The information you provide during the application process will be used in accordance with Conga’s Applicant Privacy Statement (https://conga.com/applicant-privacy-statement). By submitting your application, you acknowledge and agree to the terms outlined in this privacy statement.
Skills Required
- More than 5 years of experience
- At least 2+ years experience in data science, software development, or data engineering
- Experience in AI model development, training, scoring, and deployment
- Designing, implementing, and fine-tuning ML solutions for production performance, scalability, and efficiency
- Collaborate on integration and infrastructure, deploy modules, assist platform upgrades, and enhance automated testing
- Prepare detailed technical documentation to support development and future enhancements
- Participate in code reviews and ensure code quality standards
- Bachelor's degree in engineering or equivalent
- Proficiency in Python
- Experience with TensorFlow, PyTorch, XGBoost, Scikit-learn, Spark ML
- Experience with Git and MLflow (code/model versioning)
- Experience with cloud platforms (Azure) and Databricks
- Experience with Spark and Pandas for data analytics
- Experience in model management, data versioning, pipeline orchestration, and distributed computing
- Familiarity with advanced ML/Neural Network models and benchmarking/CI practices
- Certifications in NLP, Recommender Systems, or Azure AI Engineer
Conga Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Conga and has not been reviewed or approved by Conga.
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Fair & Transparent Compensation — Key roles like sales and senior engineering are associated with strong total compensation and OTE ranges. Market positioning for similar postings is described as competitive for mid‑to‑senior roles in mid‑market SaaS.
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Healthcare Strength — U.S. medical coverage is offered through major carriers with HSA‑eligible options, prescription coverage, telehealth, and a health navigation resource. Company HSA contributions are available for eligible plans.
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Parental & Family Support — Paid parental leave is provided in the U.S. with meaningful bonding time. Inclusive family‑forming benefits are available through Carrot, covering adoption, surrogacy, fertility treatments, and pregnancy.
Conga Insights
What We Do
Conga crushes complexity within an increasingly complex world. With our revenue lifecycle management solution, we transform your unique complexities for order configuration, execution, fulfillment, and contract renewal processes with a single critical insights data model that adapts to ever-changing business requirements and aligns the understanding and efforts of every team. Our approach is grounded in the Conga Way, a framework of entrepreneurial spirit and achieving together to champion our 11,000+ customers. We’re committed to our customers and to removing complexity in an increasingly complex world. Our solutions quickly adapt to changing business models so you can normalize your revenue operations.
Why Work With Us
Under the leadership of our CEO, Noel Goggin, we're building an environment that fosters the natural attributes of Conganeers: curious, driven, gritty, creative, collaborative, caring, hard-working, servant oriented, humble, and honest. If you want to work hard and help create raving fans of our customers, we want you to join our global team!
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