Applied AI/ML Engineer
Oddball
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This role on the market
1,015 open applied roles across 164 companies are on ApplySarthi right now, most of them in Bengaluru (100), Hyderabad (17), Delhi NCR (6).
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- EV Powertrain: Applied AI EngineerNeuralconcept
What applied roles keep asking for: Python (59%), Machine learning (45%), Java (36%), C++ (36%), LLMs (28%), Deep learning (22%), AWS (17%), Generative AI (16%) — counted across their open postings here.
CI/CD jobs · Deep learning jobs · Generative AI jobs · LLMs jobs
Oddball has 8 open roles listed here.
- VP of Engineering (Oddball Labs)
- ATO Specialist
- DevOps Engineer
- Digital Solutions Architect
- Senior Full Stack Engineer
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for applied roles keep coming back to Python, Machine learning, Java, C++. Practise those questions before you sit with Oddball.
Questions you are likely to be asked
- Why do you want to join Oddball?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the Applied AI/ML Engineer at Oddball interview free →Oddball believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen and improve the daily lives of millions of people by bringing quality software to the federal space.
We’re looking for an Applied AI / Machine Learning Engineer to design, build, and deploy practical AI-powered solutions that solve real-world problems. This role focuses on applying modern ML and GenAI techniques in production systems — from experimentation and prototyping through deployment, evaluation, and iteration. You’ll work closely with engineers, designers, and product stakeholders to turn ambiguous problems into scalable, reliable AI-driven capabilities.
This is a hands-on engineering role for someone who enjoys shipping, learning quickly, and balancing technical rigor with real-world constraints.
What you'll be doing:
- Design, develop, and deploy machine learning and AI-powered features into production systems
- Apply supervised, unsupervised, and deep learning techniques to structured and unstructured data
- Build and evaluate models for tasks such as classification, ranking, prediction, NLP, or anomaly detection
- Develop and integrate GenAI solutions (e.g., LLM-based workflows, retrieval-augmented generation, agents)
- Translate business and user needs into ML problem statements, metrics, and experiments
- Implement data pipelines and feature engineering workflows to support model training and inference
- Evaluate model performance, bias, drift, and reliability; iterate based on results
- Collaborate with software engineers to integrate models into APIs, services, and user-facing applications
- Contribute to architecture decisions around model serving, scalability, and cost optimization
- Document approaches, assumptions, and tradeoffs to support maintainability and knowledge sharing
What you’ll bring:
- Strong foundation in machine learning concepts, including model selection, training, validation, and evaluation
- Experience building and deploying ML models in real-world applications
- Proficiency in Python and common ML libraries (e.g., PyTorch, TensorFlow, scikit-learn)
- Experience working with large language models, embeddings, and prompt-driven systems
- Familiarity with data processing tools and workflows (e.g., Pandas, SQL, Spark, or similar)
- Understanding of software engineering best practices (version control, testing, code reviews)
- Ability to reason about tradeoffs between accuracy, latency, cost, and maintainability
- Strong communication skills and comfort working in cross-functional teams
- Performs other related duties as assigned
Bonus if you have:
- Experience working in innovation, R&D, labs, or exploratory engineering teams
- Experience deploying models to cloud platforms and managing inference at scale
- Familiarity with MLOps practices such as model monitoring, CI/CD for ML, and experiment tracking
- Experience contributing to architectural discussions or technical strategy
Location: Hybrid/Remote. Candidates must be located in the DMV area (DC, Maryland, Virginia) and able to participate with in-office collaboration.
Requirements:
- Applicants must be authorized to work in the United States. In alignment with federal contract requirements, certain roles may also require U.S. citizenship and the ability to obtain and maintain a federal background investigation and/or a security clearance.
Benefits:
- Fully remote
- Annual stipend
- Comprehensive Benefits Package
- Company Match 401(k) plan
- Flexible PTO, Paid Holidays
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities:
Oddball is an Equal Opportunity Employer and does not discriminate against applicants based on race, religion, color, disability, medical condition, legally protected genetic information, national origin, gender, sexual orientation, marital status, gender identity or expression, sex (including pregnancy, childbirth or related medical conditions), age, veteran status or other legally protected characteristics. Any applicant with a mental or physical disability who requires an accommodation during the application process should contact an Oddball HR representative to request such an accommodation by emailing hr@oddball.io
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)
Compensation:
At Oddball, it’s important each employee is compensated competitively and fairly. In alignment with state legal requirements. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.
United States Wage Range: $150,000 – $200,000
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Listed on greenhouse · posted 2026-09-09. ApplySarthi collects openings and links to application pages; the role is advertised by Oddball, not by us.