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: AI Senior Developer Company: MRI Software Job Category: Machine Learning Roles & Responsibilities: AI Developer/Sr Developer (5\+ Years Experience) Role Overview As an experienced AI Developer and Team Lead, you will design, develop, and deploy AI/ML models across natural language processing (NLP), computer vision, and structured data. You will also architect AI services on Azure, integrate with MRI's global platform, and mentor junior AI engineers. Key Responsibilities * Design and build LLM\-based applications and Retrieval\-Augmented Generation (RAG) systems. * Develop and deploy traditional ML models (classification, regression, clustering) for property and financial data analytics. * Implement multi\-modal AI solutions combining text, vision, and tabular data. * Architect Azure\-based AI services using Kubernetes (AKS), serverless APIs, and MLOps best practices. * Lead AI experiments in Vision AI (OCR, layout analysis, document intelligence). * Mentor junior AI developers and participate in technical reviews. * Contribute to AI R\&D for internal patents and innovations. * Collaborate with product, engineering, and cloud teams globally. About MRI Software \& AI At MRI MRI\-Software is a global leader in Prop Tech, delivering AI\-powered solutions that transform Real estate operations, decision\-making, and tenant experiences. As part of our AI\-first strategy, our AI team develops advanced solutions including LLMs, Vision AI, machine learning models, and Agentic AI workflows. At MRI, one of our core values is to strive to amaze.* From the intelligent solutions we create to the culture we cultivate, that’s our goal every day. Because that’s what industry leaders do. Whether you’re joining as a new Pride member or rejoining us after a short time away, your talent is vital to us, our partners and our clients. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Staff Engineer- MLOps Company: Stryker Job Category: Machine Learning Roles & Responsibilities: We are in search of a skilled and experienced Staff MLOps Engineer to join our team, with a focus on building systems and applications that interact with AI models in a cloud\-native Azure environment, with Azure Machine Learning (Azure ML) at the core of our ML platform. In this position, you'll be responsible for designing, developing, and maintaining software applications that flawlessly integrate with state\-of\-the\-art AI and machine learning technologies. What You Will Do: * Design, develop, and maintain high\-performance, scalable MLOps systems and pipelines that interact with AI models and systems.Build and operate end\-to\-end ML workflows on Azure Machine Learning, including training pipelines, experiment tracking, model registry, and managed online/batch endpoints. * Cooperate with cross\-functional teams, including data scientists, AI researchers, and AI/ML engineers, to understand requirements, define project scope, and ensure alignment with business goals.Contribute technical expertise in evaluating, selecting, and implementing software technologies, tools, and frameworks in a cloud\-native (Azure \+ Azure ML) environment. * Troubleshoot and resolve intricate software problems, ensuring optimal performance and reliability when interfacing with AI/ML systems. * Participate in software development project planning and estimation, ensuring efficient resource allocation and timely solution delivery. * Contribute to the development of continuous integration and continuous deployment (CI/CD) pipelines. * Contribute to the development of high\-performance data pipelines, storage systems, and data processing solutions. * Implement monitoring and observability for deployed models and platform services (performance, data/model drift, reliability), with dashboards and reporting in Power BI and Grafana. * Contribute to the creation and maintenance of technical documentation, including design specifications, API documentation, data models, data flow diagrams, and user manuals. Mentor junior engineers and promote MLOps and software engineering best practices across the team. Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually. Work Location: Karnataka, India Availability: Full time
Job Title: Software Engineer Company: Lowe's Home Improvement Job Category: Machine Learning Roles & Responsibilities: JOB DESCRIPTION Innovate in Bengaluru Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India Lowe’s Demand Forecasting team, commonly known through its Lowe’s Internal Forecast Tool (LIFT), develops and operates data\-driven forecasting capabilities that improve demand\-planning accuracy and reduce manual intervention. The team applies time\-series analysis and AI/ML models to support supply\-chain efficiency, inventory optimization, and fulfillment decisions. Its forecasts span weekly item\-location demand across Lowe’s stores, store\-level sales for labor planning, new\-store sales estimates, truck arrivals, and transportation shipment volumes. The team’s work is central to inventory ordering, allocation, replenishment, and exception management. By incorporating trends, seasonality, and market intelligence, it creates demand and sales forecasts that support planning partners across supply chain, merchandising, inventory fulfillment, and transportation. The primary purpose of this role is to design, build, and operate scalable software and machine learning solutions that enable Data \& AI\-driven products. The role combines strong software engineering fundamentals with ML/MLOps, data engineering, cloud\-native development, and AI\-enabled engineering practices. The engineer will contribute across the full Software Development Lifecycle (SDLC), from solution design and development through testing, deployment, production support, and continuous improvement. Key responsibilities include building robust data and feature pipelines, productionizing and scaling ML models, optimizing model training and inference, and implementing model monitoring and lifecycle management. Key Responsibilities * Design, develop, test, deploy, and support scalable, secure, and maintainable software and ML solutions, including backend services, APIs, cloud\-native applications, data integrations, and ML\-enabled services supporting Forecasting and AI products. * Translate business and functional requirements into technical designs and high\-quality implementations, contributing across the full Software Development Lifecycle (SDLC). * Build and maintain data ingestion, transformation, preprocessing, feature engineering, and post\-processing pipelines to support ML model training, experimentation, and inference. * Partner with Data Scientists and Data Engineers to translate model requirements into production\-ready engineering solutions and ensure high\-quality, reliable data is available for model development and execution. * Support the end\-to\-end ML lifecycle, including experimentation, model registration and versioning, testing, deployment, orchestration, inference, and ongoing model management using enterprise AI/ML platforms. * Develop and maintain CI/CD and automation pipelines for software, data pipelines, and ML models to enable reliable and repeatable testing and deployments. * Implement monitoring and observability for applications, data pipelines, and ML models, including system health, data quality, model performance and drift, and operational metrics. * Optimize software, ML workloads, and data pipelines for performance, scalability, reliability, and cost efficiency across cloud and enterprise platforms. * Apply engineering best practices including secure coding, code reviews, automated testing, documentation, performance optimization, data governance, security, and compliance. * Support production systems through monitoring, incident resolution, root\-cause analysis, troubleshooting, and continuous reliability improvements. * Collaborate with Product, Data Science, Data Engineering, Architecture, Security, Infrastructure, and business teams to deliver reliable Forecasting and AI capabilities that support business decision\-making. * Participate in technical design discussions and code reviews, contribute to engineering standards, share knowledge with team members, and evaluate modern technologies, AI\-enabled development tools, and automation to continuously improve software quality and engineering productivity. * 0-1 years of experience writing technical documentation in a software environment and developing and implementing business systems within an organization * Apache Airflow, Cloud Composer * GCP cloud experience, Big Query * Trino/Presto * Experience working on Data Quality/Integrity theme, Tools like Great Expectations. * Domain experience on retail forecasting or any other business forecast predictions/time series forecasting. Work Location: Karnataka, India Availability: Full time
Job Title: Senior Specialist - Architecture Company: LTM Limited Job Category: Machine Learning Roles & Responsibilities: Role description The primary responsibility of this role is to maintain support monitor and optimize existing AIML solutions models and MLOps pipelines ensuring reliability performance and business continuity Additionally the candidate should be able to develop and implement enhancements new features and continuous improvements based on evolving business requirements Feature Engineering Model Development Model Monitoring Drift Detection Performance Tracking Maintain support monitor and optimize existing AIML solutions and MLOps pipelines Develop predictive models and data science solutions for business problems Implement enhancements new features and continuous improvements Establish MLOps best practices covering model training deployment monitoring and retraining Strong understanding of ML lifecycle management and production AI systems Excellent analytical problemsolving and stakeholder management skills Work Location: Karnataka, India Availability: Full time
