• Design and implement scalable, secure, and cost‑efficient MLOps solutions leveraging AWS and Databricks. • Automate ML deployment pipelines, reducing manual intervention and operational overhead. • Collaborate closely with data scientists to ensure solutions align with established MLOps architecture, best practices, and platform standards. • Integrate security controls and compliance requirements throughout the entire machine learning lifecycle. • Own and manage incidents end‑to‑end, from root cause analysis to prevention of future occurrences. • Contribute to software system architecture and the design of platform‑level components. • Build and optimize ML training, retraining, and inference pipelines, ensuring reliability and scalability. • Enhance observability with metrics, logging, tracing, and dashboards to ensure system visibility and performance. • Drive best practices in infrastructure automation, CI/CD, and cloud resource management across ML teams.

Innovexis is looking for a passionate and motivated Machine Learning Intern to join our innovative team in Bengaluru. This remote internship offers a unique opportunity to gain hands-on experience in the exciting field of education management through the application of machine learning technologies. As a Machine Learning Intern, you will assist in the development and implementation of machine learning models that enhance our educational platforms. You will collaborate with experienced professionals to work on real-world projects that aim to improve learning outcomes and optimize educational processes. This internship will provide you with invaluable skills and insights into the intersection of technology and education. We offer a competitive salary range of ₹20,000 - ₹25,000 per month, along with a supportive environment for personal and professional growth in the fast-evolving education sector. Responsibilities - Assist in the design and development of machine learning algorithms - Analyze datasets to extract meaningful insights - Collaborate with the data science team to implement models - Participate in research and development of new machine learning techniques - Test and validate machine learning models for accuracy and performance - Document processes and results for future reference - Stay updated on the latest trends in machine learning and education technology - Contribute to team meetings and brainstorming sessions Requirements - Currently pursuing or recently completed a degree in Computer Science, Data Science, or a related field - Basic understanding of machine learning concepts and algorithms - Familiarity with programming languages such as Python or R - Experience with data analysis and visualization tools - Strong analytical and problem-solving skills - Excellent communication and teamwork abilities - Ability to work independently in a remote environment - Enthusiasm for learning and applying new technologies

• Build the ML stack from the ground up • Detecting anomalies in API traffic • Own the full lifecycle • Design experiments and metrics • Work with text and structured behavioral data • Leverage LLMs where they add value • Shape the technical direction

We are looking for a Senior ML Engineer to join us at Exadel. This role works closely with data scientists, software engineers, and subject matter experts in different business areas to build production systems capable of processing multi-document PDFs, with automated document type detection and field extraction at scale. Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do - Design and implement end-to-end document intelligence pipelines on AWS - Develop and optimize ML models for document classification,segmentation, and field extraction - Build scalable data processing systems handling PDFs up to 2000 pages - Collaborate with subject matter experts to create and refine requirements for extraction - Own features from research through production deployment and monitoring - Establish evaluation frameworks and quality metrics for extraction accuracy What You Bring - Advanced knowledge of Python (native, Pandas, ScikitLearn, Tensorflow or Pytorch, PyStats, Pydantic) - Experience with AWS tools for ML Engineering and ML deployment (Sagemaker, Lambda, Cloudformation/CDK, Step Functions) - Advanced knowledge of SQL and Data Modeling - Experience with GenAI for document intelligence, including prompt engineering, RAG (Retrieval Augmented Generation), multi-modal models (vision + text), and production deployment using AWS Bedrock or Azure OpenAI APIs - Experience in experiment design (power analysis and hypothesis testing) - Proficiency in both written and verbal communication, required for a remote and largely asynchronous work environment - Demonstrated capacity to clearly and concisely communicate complex technical problems and propose iterative solutions - Experience owning a feature from concept to production, including proposal, discussion, and execution Nice to have - Experience with document processing tools (AWS Textract, Azure Document Intelligence, or similar OCR/layout detection systems) - Experience with PDF and Image processing libraries (e.g. PyMuPDF, opnecv, pillow) - Experience in Machine Learning/ Data Science (e.g., ML algorithm selection, feature engineering, model training, hyperparameter tuning, supervised and unsupervised learning implementation, building a model pipelines, using Machine Learning tools/libraries/frameworks) - Experience working with AWS big data technologies (Redshift, S3, EMR, Glue, etc.) English level Intermediate+ Legal & Hiring Information - Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more - Reasonable accommodations are available to enable individuals with disabilities to perform essential functions - Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. - International projects - In-office, hybrid, or remote flexibility - Medical healthcare - Recognition program - Ongoing learning & reimbursement - Well-being program - Team events & local benefits - Sports compensation - Referral bonuses - Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.