Job Title: Machine Learning Engineer II - Backend. Company: InMobi Advertising Job Category: Machine Learning Roles & Responsibilities: About The Role As a Machine Learning Engineer at InMobi, you will be instrumental in designing, developing, deploying, and maintaining cutting\-edge ML systems that power our product experiences. We're looking for someone with a passion for elegant problem\-solving, rapid experimentation, and owning end\-to\-end machine learning workflows. Key Responsibilities * Model Development \& Deployment * Design, train, and deploy machine learning models with a strong focus on fast, reliable * Build APIs and microservices to serve ML models at * Feature development \& Engineering * Design \& deliver asks on backend features \& efficiently deliver * Work closely with the analytics, architects \& PM to deliver features asks as per * Identify solutions that can help us improve scalability, minimize bugs and reduce cost * Understanding of when to escalate questions/issues that arise during development * Able to efficiently diagnose bugs and issues * Familiar with various design and architectural patterns * Pipeline \& Infrastructure * Develop and maintain data ingestion, preprocessing, and model training * Deploy scalable data and model solutions that improve efficiency across ML * Collaboration \& Integration * Define and execute end\-to\-end ML solutions from ideation to * Monitoring \& Research * Monitor model performance in production, using statistical methods to ensure * Ownership \& Delivery * Lead or contribute to POCs and full\-scale ML feature * Manage project deadlines and deliverables in an agile We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Cloud Engineer Company: Molex Job Category: Machine Learning Roles & Responsibilities: Your JobWe are seeking an experienced and proactive Software Engineer / AWS AI/ML Cloud Engineer to design, build, deploy, and support cloud\-native applications and AI/ML solutions on AWS. The primary focus of this role is developing production\-grade software applications and platforms that leverage AWS cloud services, AI/ML capabilities, and modern software engineering practices to solve complex business challenges. In this role, you will apply your expertise in Python software development, cloud architecture, and AWS technologies to deliver secure, scalable, and maintainable solutions. You will be responsible for building application backends, APIs, cloud services, automation frameworks, and AI\-enabled applications while partnering with business and technical teams to bring innovative ideas into production. The ideal candidate is passionate about writing high\-quality software, designing robust systems, and continuously learning emerging cloud and AI technologies. Our team combines strong software engineering principles with modern cloud technologies to build scalable business solutions. We value ownership, problem solving, collaboration, and technical excellence, offering opportunities to work across the full software development lifecycle while leveraging the latest AWS, automation, and AI/ML technologies. What You Will Do * Design, deploy, and manage scalable and highly available Python applications built on cloud, specifically built on AWS infrastructure. * Build the best AI/ML solutions with the available resources, from DB hosted on the cloud to refresh BI dashboards, such as Power Bi dashboards. * Work with core AWS services such as EC2, S3, RDS, VPC, IAM, Lambda, Amplify, AppSync, SQS, API Gateway, ECR, Glue, SageMaker, Bedrock, and CloudWatch. * Implement Infrastructure as Code (IaC) using Terraform. * Monitor, troubleshoot \& optimize cloud environment for performance, security, and cost optimization. * Collaborate with development team on CI/CD pipelines. * Ensure security best practices including IAM roles, policies, encryption, and network security. * Troubleshoot Python based applications on cloud infrastructure issues and provide root cause analysis. * Practice the clean code and best practices for developing Python web applications. * Participate in architecture reviews and cloud optimization initiatives. * Stay current with AWS best practices. * Maintain thorough design documentation, operational procedures, and best practices. * Experience designing and implementing serverless and event\-driven architectures on AWS. * Experience building AI/ML, Generative AI, and data pipelines using services such as SageMaker, Bedrock, Glue, and related AWS technologies. * Experience developing and supporting enterprise\-scale software applications and cloud\-native solutions. * Hands\-on experience with containerization, infrastructure automation, and configuration management using tools such as Docker and Ansible. * Experience with observability, monitoring, logging, cost optimization, and operational excellence in AWS environments. * AWS Certifications such as AWS Certified Solutions Architect, Machine Learning Engineer, or AI Practitioner. Work Location: Karnataka, India Availability: Full time
Job Title: Data Scientist II Company: CommerceIQ Job Category: Machine Learning Roles & Responsibilities: * Strong background in machine learning, statistical modeling, predictive analytics, and feature engineering, with hands\-on experience developing and deploying classical ML models. * Strong proficiency in classical machine learning algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, XGBoost, LightGBM, CatBoost, Support Vector Machines (SVM), Naive Bayes, K\-Means, and DBSCAN. * Experience with feature engineering, feature selection, dimensionality reduction, hyperparameter optimization, cross\-validation, model calibration, and model evaluation. * Proficiency in Python, Pandas, NumPy, Scikit\-learn, with experience using libraries such as XGBoost, LightGBM, CatBoost, and Statsmodels. * Experience working with large datasets and data pipelines, including data preprocessing, data quality checks, transformation, aggregation, and feature generation using tools such as SQL, Spark/PySpark, and cloud data platforms. * Strong understanding of statistical methods and model diagnostics, including hypothesis testing, confidence intervals, correlation analysis, distribution analysis, and statistical significance. * Experience with model deployment, monitoring, retraining, and productionization of classical machine learning models. Leadership \& Collaboration * Preferred: Proven ability to mentor junior data scientists or analysts, provide technical guidance, and establish best practices for machine learning development. * Strong cross\-functional collaboration skills with product, engineering, business, and analytics stakeholders to translate business problems into measurable ML solutions. * Ability to communicate model assumptions, methodology, results, limitations, and business impact to both technical and non\-technical stakeholders. * Ability to translate analytical findings into practical, scalable, and measurable business solutions. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Computer Vision Engineer Company: Recrew AI Job Category: Machine Learning Roles & Responsibilities: Role: Computer Vision Engineer \- Astronomical Image Processing They're helping satellite manufacturers reduce costs and lead times while making high\-quality space components more accessible. You'll develop cutting\-edge image processing algorithms that power ground\-based telescopes for satellite navigation systems. You'll design ML/DL models for astronomical object detection, focusing on star tracking and celestial object classification that directly supports the company's ADCS systems. This role offers direct impact on space technology that keeps satellites operational, with exposure to both hardware integration and algorithm optimization for real\-sky conditions. Role \& Responsibilities * You design and develop high\-performance ML/DL models for object detection in astronomical images, identifying stars as spots/blobs and objects as streaks/lines * You implement detection and classification algorithms to distinguish between stellar blobs and object streaks with sub\-pixel accuracy * You train and test models using synthetic and real astronomical image datasets * You document model performance evaluation and report coordinate retrieval with sub\-pixel precision * You optimize algorithms for real\-sky conditions including various signal and noise environments * You collaborate with hardware teams to integrate image processing solutions with ADCS components * You deliver technical documentation and briefings on algorithm performance and implementation Work Location: Bangalore Urban, Karnataka, India Availability: Full time
Job Title: Engineer AI/ML Company: Empower Job Category: Machine Learning Roles & Responsibilities: The AI/ML Engineer is responsible for designing, building, and optimizing AI and machine learning solutions within the Generative AI Platform. This role involves coding in Python and using relevant AI frameworks to develop scalable models and data pipelines. By collaborating with cross\-functional teams, the AI/ML Engineer ensures that the platform’s AI capabilities meet technical and business objectives. Model Development \& Deployment* Data Pipeline Management* This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason. Work Location: Karnataka, India Availability: Full time
Job Title: AI/ML Company: Infosys Job Category: Machine Learning Roles & Responsibilities: Python, SQL, Data Structures \& Algorithms Machine Learning, Deep Learning, TensorFlow, PyTorch, Scikit\-Learn Generative AI, LLMs, LangChain, RAG, Prompt Engineering AWS/Azure/GCP, Docker, Kubernetes, MLOps, CI/CD NLP, Vector Databases (FAISS/Pinecone/ChromaDB), Pandas, NumPy, API Development Design, develop, train, test, and deploy Machine Learning models for business use cases. Build and optimize predictive, classification, recommendation, and forecasting models. Develop and implement NLP, LLM, and Generative AI solutions. Perform data collection, cleaning, feature engineering, and exploratory data analysis. Fine\-tune and optimize pre\-trained models for domain\-specific applications. Develop APIs and microservices to expose AI/ML models. Implement MLOps practices for model deployment, monitoring, versioning, and retraining. Work with large datasets and distributed processing frameworks. Collaborate with cross\-functional teams to understand business requirements and translate them into AI solutions. Monitor model performance, accuracy, and drift in production environments. Create technical documentation and best practices for AI/ML implementations. Work Location: Bengaluru East, Karnataka, India Availability: Full time
Job Title: Forward Deployed Data Scientist Company: SAP Job Category: Machine Learning Roles & Responsibilities: Job Description What you'll bring You have hands\-on experience in data science, machine learning, and applied AI in enterprise environments. What You'll Build You'll develop and deploy data science and AI solutions within customer\-embedded delivery teams. * Translate business challenges into data\-driven solutions — exploring data, engineering features, and developing models for classification, forecasting, anomaly detection, and recommendation scenarios. * Design, train, evaluate, and optimize ML models and statistical solutions for enterprise use cases of moderate complexity. * Develop generative AI components using LLMs, RAG pipelines, embeddings, vector databases, and agentic AI frameworks. * Define evaluation metrics, validate model performance, monitor deployed solutions, and implement improvements to accuracy and reliability. * Collaborate with AI Engineers, Data Engineers, Product Managers, and UX teams to deliver components and communicate technical findings to customer stakeholders. About SAP With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and improves people’s lives. For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Principal Machine Learning Engineer Company: Zscaler Job Category: Machine Learning Roles & Responsibilities: Role We are looking for a Principal Machine Learning Engineer to join our team. This is a hybrid role based in Bangalore, reporting to the Director, Software Development Engineering in the Exposure Management \& Security Operations department In this role, you will be responsible for leading the development and implementation of advanced machine learning models, mentoring junior team members, and driving strategic AI and data science initiatives. You will have a deep understanding of various stages of an end\-to\-end Machine Learning project and will be capable of translating business problems into data\-driven solutions What You’ll Do (Role Expectations) * Architect, implement, and evaluate advanced machine learning models and innovative technical solutions directly aligned with strategic business objectives * Guide and support data science team members through hands\-on project direction, technical best practices, and structured professional development * Partner with cross\-functional teams to define project roadmaps and translate complex technical concepts into actionable insights that drive data\-informed decision\-making * Champion organization\-wide strategic initiatives, proactively identifying high\-impact opportunities for process optimization and technological innovation * Monitor emerging advancements in machine learning and data science, translating state\-of\-the\-art research into practical, high\-value applications Who You Are (Success Profile) * You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful * You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high\-level strategy and hands\-on execution * You are a problem\-solver. You love running towards the challenges because you are laser\-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact * You are a high\-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust * You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy\-related support. Work Location: Bengaluru East, Karnataka, India Availability: Full time
Job Title: Finance Analyst Company: Cisco Job Category: Machine Learning Roles & Responsibilities: More specifically, you will join the Devices Finance team that supports the Collaboration Devices business. This is a close\-knit, collaborative team that combines strong financial fundamentals with a genuine curiosity for how AI and automation can transform the way we analyze bookings, margins, and business performance. You will be working directly with Finance Team supporting the Collaboration Devices business and help with: * Perform financial data analysis with the aim of providing accurate, timely, and actionable insights that support leadership decision\-making and improve operational efficiency * Support monthly and quarterly close activities through data validation, variance analysis of actuals vs. forecast, and period\-over\-period comparisons to identify drivers, trends, risks, and opportunities * Monitor booking margins, discount structures, and profitability trends, and provide actionable recommendations to support growth while maintaining strong financial performance * Extract, integrate, and analyze large datasets using SQL, Pythonand appropriate data\-processing technologies * Translate functional requirements into reporting solutions, calculation logic, and data models * Design, build, test, and implement AI/ML solutions for real finance and business requirements * Develop and maintain interactive dashboards and executive reports using Microsoft applications and AI tools If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams. Work Location: KA, India Availability: Full time
Job Title: Machine Learning Engineer - Computer Vision Company: Sutra Services Pvt Ltd Job Category: Machine Learning Roles & Responsibilities: Our products combine hardware, software, and machine learning to help pet parents better understand and monitor their pets' health. About The Role We're looking for a hands\-on Machine Learning Engineer with strong experience in Deep Learning and Computer Vision to develop, train, evaluate, deploy, and maintain ML models. What You'll Do * Develop and train deep learning and computer vision models for image classification, object detection, and image segmentation. * Work with CNN architectures such as YOLO, ResNet, EfficientNet, MobileNet, and U\-Net. * Prepare, label, preprocess, and augment custom datasets. * Use Python, PyTorch, TensorFlow/Keras, and OpenCV for model development. * Perform model training, validation, fine\-tuning, hyperparameter tuning, and performance evaluation. * Work with time\-series data, audio signal processing, and sensor fusion. * Deploy and optimise models for production, edge, and embedded environments. * Work with ONNX, TensorFlow Lite, and model optimisation techniques. * Monitor model performance, detect data/model drift, and support retraining pipelines. * Collaborate with hardware, firmware, and application teams. Why Join Us? * Work on real\-world Deep Learning and Computer Vision applications. * Build models deployed on actual hardware. * Work closely with the ML Lead and take ownership of key projects. * Join a fast\-moving team building innovative pet health technology. Work Location: Bengaluru, Karnataka, India Availability: Full time
