Job Title: AI ML Developer Company: Scoutit Job Category: Machine Learning Roles & Responsibilities: We're looking for AI ML Developers ! Responsibilities : * Design, develop, train, and optimize Machine Learning and Deep Learning models. * Analyze structured and unstructured datasets to identify business insights and opportunities. * Build and maintain data pipelines for model training and inference. * Develop AI solutions using NLP, Computer Vision, Recommendation Systems, or Predictive Analytics. * Deploy ML models using cloud platforms and MLOps best practices. * Perform feature engineering, model evaluation, hyperparameter tuning, and performance optimization. * Collaborate with Data Scientists, Software Engineers, and business stakeholders. * Monitor model performance and retrain models as required. * Document model architecture, experiments, and deployment processes * Be a team player and work across teams. ( Note: Relevant applicants will receive an email requesting additional information as part of the next stage. The application process will be completed directly on the team's designated platform, and all subsequent communication and decisions regarding the opportunity are managed by the respective hiring team.) Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Data Scientist Product, Geo Data Science Company: Google Job Category: Machine Learning Roles & Responsibilities: Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data\-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. In this role, you will work with Engineering teams across Geo on a variety of problems related to understanding the quality of the data and features powering products like Maps, Earth, Local Search and more, the connection between users and data quality, how to grow the ecosystems based on geospatial data and infrastructure, how to scale the state of the art AI/ML efforts, the impact of GenAI features on Maps users and contributors. Responsibilities -------------------- * Partner closely with Product Managers, Engineers, and UX Researchers in strategic markets to analyze user funnels, evaluate search patterns, and uncover growth opportunities across key international expansion markets and product verticals. * Design, execute, and analyze live A/B experiments and causal inference models to measure the direct impact of localized data enhancements and feature rollouts on user engagement, and growth. * Collaborate with operations leadership, program managers, and vendor operations leads in scaling operations to conduct root\-cause quality evaluations, assess operational workflows, and optimize data governance standards. * Build intelligent AI workflows, automated alerting systems, and self\-service analytics tools to streamline operational requests, reduce turnaround times, and improve overall system velocity. * Maintain foundational data pipelines and single\-source\-of\-truth dashboards to deliver clear operational visibility and track core business scorecards for leadership. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. Work Location: Karnataka, India Availability: Full time

Job Title: Data Scientist II Company: Honeywell Job Category: Machine Learning Roles & Responsibilities: As a Data Scientist II at Honeywell Technology solutions in the life sciences domain, you will play a pivotal role in leveraging data and cutting\-edge Generative AI techniques to drive insights, develop innovative models, and accelerate digital transformation. You will work on building advance OCR/CV /GenAI based models and deliver end\-to\-end data and model pipelines, with a special emphasis on deploying Generative AI solutions. Your expertise in cloud platforms (AWS, Azure) and ML Ops will be crucial for optimizing and scaling these advanced models. This is an exciting opportunity to shape the future of intelligent building systems using the latest advancements in AI. You will report directly to our Sr Manager, software Engineering and work out of our Bangalore, India location on a hybrid schedule. * Good proficiency in Generative AI, CV/ML/DL/NLP, and related programming languages. * Experience in the life sciences domain, especially manufacturing, is a plus. * Hands\-on experience with GenAI and Computer vision models, knowledge graph technologies. * Strong leadership and management skills. * Experience working in agile development environments. * Proven ability to drive successful GenAI and data science projects. * Ability to work in a fast\-paced, dynamic environment. * Attention to detail and excellent problem\-solving capability. Key Responsibilities * Work on develop, and implement sophisticated data science models with a particular emphasis on Generative AI (GenAI), Computer vision, covering applications in text, image, and data synthesis for system development. * Support the creation and maintenance of data and model pipelines, ensuring data integrity and helping with GenAI model deployment under supervision. * Employ cloud platforms such as AWS, Azure to utilize scalable computing resources for Generative AI workloads. * Having experience of productionizing the AI/ML/GenAI based solution on Prem and on cloud. * Optimize and deploy machine learning and GenAI models in accordance with established ML Ops best practices. * Collaborate with cross\-functional teams to help integrate Generative AI solutions into existing systems and workflows, contributing to project goals and learning from team interactions. Honeywell Technologies is a global, pure\-play automation company with a legacy of innovating to help solve the world’s most mission\-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy. Work Location: Karnataka, India Availability: Full time

Job Title: AI/ML/GEN AI Engineer Company: Infosys Job Category: Machine Learning Roles & Responsibilities: Perform data collection, profiling, exploration data analysis (EDA), and data preparation. Apply a range of ML techniques including supervised, unsupervised, and reinforcement learning. Design, develop, and deploy machine learning models using Python and popular ML frameworks Implement NLP solutions using NLP techniques like preprocessing, tokenization, vectorization, and semantic analysis. Develop and deploy GenAI solutions such as RAG systems and Agentic AI. Monitor model performance in production and implement retraining strategies. Adhere to and implement Responsible AI principles in all ML workflows. Present analytical insights to business stakeholders and project teams. Propose ML\-based solutions and provide effort estimates for new use cases. Collaborate with data scientists and engineers on model training, evaluation, and deployment. Utilize AI services from cloud platforms such as Azure, AWS, and GCP. Work Location: Bengaluru East, Karnataka, India Availability: Full time

Job Title: AI/ML Engineer(s)-61060 Company: Hitachi Digital Services Job Category: Machine Learning Roles & Responsibilities: Job Description AI/ML Engineer(s) 5\+ years of experience in Data/AI projects (P3\) Design, develop, and train machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, and scikit\-learn Knowledge of supervised, unsupervised, and reinforcement learning techniques to address diverse business challenges Perform feature engineering and data processing to enhance model performance Deploy machine learning models into production environments, ensuring seamless integration with existing software architectures using CI/CD pipelines, containerization (Docker, Kubernetes), and cloud platforms (AWS or Azure) Experience with cloud platforms, containerization, and MLOps practices Programming skills in Python ETL experience prefered About Us We're a global, team of innovators. Together, we harness engineering excellence and passion to co\-create meaningful solutions to complex challenges. We turn organizations into data\-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you. We help take care of your today and tomorrow with industry\-leading benefits, support, and services that look after your holistic health and wellbeing. We're also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We're always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you'll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Staff Machine Learning Engineer Company: project44 Job Category: Machine Learning Roles & Responsibilities: We expect every project44 team member, regardless of role or function, to actively leverage AI in their day\-to\-day work. Whether you're building product, serving customers, managing people, or running operations, AI is a tool you're expected to use with intent, curiosity, and judgment. We don't expect everyone to be a data scientist. We do expect everyone to be an intelligent user of AI: able to identify where it adds value, direct it effectively, evaluate outputs critically, and govern it responsibly. We invest in our team's AI fluency because we believe it's a competitive advantage for every person at project44, not just our engineers to join our engineering team. You will work in a fast\-paced Agile environment designing, building, and implementing best\-in\-class integrations to accelerate how project44 connects to the world’s logistics networks. About the Role * Staff ML Engineerto lead the development of next\-generation AI/ML systems at Project44, spanning ETA, risk, anomaly detection, and supply chain intelligence. This role sits at the intersection of applied modeling, platform thinking, and production impact, with a mandate to both ship high\-value ML capabilities and build reusable Data Science platform primitives that scale across teams. * In addition, this role will drive the integration of Generative AI, LLMs, and agentic systems into core workflows—enabling reasoning\-driven diagnostics, automation, and intelligent decision support across the supply chain. * You will work closely with Data Science, ML Engineering, Data Engineering, Platform, and Product teams to deliver production\-grade systems and establish a scalable, repeatable approach to AI development at P44\. * Drive High\-Impact ML Systems Lead end\-to\-end development of models for ETA, risk, anomaly, and fraud—leveraging advanced techniques (embeddings, transformers, hybrid models). * Build Data Science as a Platform Develop reusable ML infrastructure (features, experimentation, deployment, monitoring) to scale model development and reduce time\-to\-production. * Lead GenAI \& Agentic Systems Build LLM\-powered solutions (RAG, diagnostics, automation, coding agents) and establish guardrails, evaluation, and explainability. * Translate Business Problems into ML Solutions Convert customer workflows into well\-defined ML problems and ensure measurable business impact. * Drive Experimentation \& Evaluation Establish strong offline/online evaluation frameworks tied to business outcomes. * Collaborate Across Engineering Partner with MLE and DE to build scalable, reliable systems across the ML lifecycle. * Experience 8–10\+ years in Data Science / Applied ML with a strong track record of building and deploying production\-grade ML systems. * Core Modeling \& Technical Expertise Deep expertise across tree\-based models, transformers, probabilistic modeling, and feature engineering, with a strong data\-centric mindset. * Data \& Platform Fluency Proficient in SQL and Python, with hands\-on experience in modern data platforms (Snowflake/Databricks), pipelines (Spark, Airflow), streaming systems (Kafka), and MLOps tooling. * GenAI \& LLM Capability Experience building RAG systems, working with embeddings and vector databases, and developing LLM\-based applications and agentic workflows. Strong understanding of evaluation, guardrails, and safe deployment of GenAI systems. * Systems \& Engineering Mindset Familiarity with distributed systems, APIs, and deployment patterns, with the ability to write clean, production\-quality code. * Analytical Rigor \& Diagnostics Strong ability to evaluate model performance, detect edge cases, run root cause analysis, and design robust monitoring and evaluation frameworks. * Data Quality \& Signal Awareness Experience handling messy, real\-world data, including drift, bias, missingness, and anomalies, along with tools and techniques to detect and address these issues. * Modeling Judgment \& Trade\-offs Ability to identify when to use ML versus heuristics and design pragmatic hybrid solutions. Strong understanding of architectural trade\-offs across models and systems. * Business Impact Orientation Clear understanding of how ML metrics translate to business outcomes, with the ability to balance trade\-offs across accuracy, scalability, latency, and customer experience. * Leadership \& Communication Strong problem framing, stakeholder influence, and ability to communicate model behavior and decisions clearly to both technical and non\-technical audiences. Proven track record of driving measurable business impact. * Deliver 2 high\-impact ML capabilities with measurable customer value * Establish standardized experimentation, monitoring, and RCA workflows * Introduce GenAI/agentic capabilities that improve productivity and insight generation * Reduce time\-to\-production and increase reuse across DS teams * Drive measurable improvements in model performance and system reliability We’re building a company that every one of us at project44 is proud to work for, and our journey of becoming a more diverse, equitable and inclusive organization, where all have a sense of belonging, is shaped through the actions of our leadership, global teams, and individual team members. We are resolute in our belief that each team member has an equal responsibility to mold and uphold our culture. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Senior Machine Learning Engineer Company: Treasure AI Job Category: Machine Learning Roles & Responsibilities: We are thrilled that Gartner Magic Quadrant has recognized Treasure AI as a Leader in Customer Data Platforms for 2024! It's an honor to be acknowledged for our efforts in advancing the CDP industry with cutting\-edge AI and real\-time capabilities. View the report here. Your Role We are seeking strong ML engineers to join the ML team and help us sharpen the ML vision and deliver more solutions to satisfy our customers’ needs. You will be working closely with other ML engineers and people from cross\-functional teams. You Will Be a Good Fit If You * Are a self\-driven, organized, and independent individual who proactively takes initiatives, anticipates needs, and solves problems to contribute to delivering values to our customers. * Have a strong sense of ownership and responsibility to get things done. * Have a growth mindset; are curious to learn new things and adaptive to changes. * Know how to navigate ambiguity and thrive in uncertain environments, consistently driving work forward. * Are passionate about productizing ML products, knowing how to make practical trade\-offs when turning ideas into working software. * Excel in adapting communication styles and simplifying complex technical concepts for diverse audiences, ensuring clear and effective communication. * Enjoy working in a collaborative work environment with people from diverse backgrounds. This is an ideal position for those with not only data science and machine learning skills, but also cloud service engineering skills for developing, deploying, and operating these critical ML products. Responsibilities Design and develop ML models or solutions for our client CDP implementation. mitigate risks by collaborating closely with product managers, UX designers, architects, * Contribute to defining system architecture for the ML products and implementing specific * Design and implement performant, scalable ELT data pipelines, considering an ML model’s * Take responsibility for technical problem solving and meeting ML objectives creatively in * Participate in the on\-call rotation for production support. * Drive best practices including ML research methodologies, coding standards, code reviews, source control management, development processes, build processes, testing and release, deploying ML models, as well as building and maintaining ML pipelines and products. includes responsibility for model selection, performance benchmarking, and lifecycle management to solve real\-world business problems. Diverse representation alone is not the desired outcome. We also strive to create an inclusive culture that encourages growth, ownership of your role, and achieving innovation in new and unique ways. Your voice will be heard, and we will help amplify it. This description captures the core of the role today. As we adopt AI and new ways of working, responsibilities may evolve, and we encourage team members to take initiative, lean into change, and help expand the impact of their role beyond what’s listed here. Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: AI or ML Engineer Company: Optum India Job Category: Machine Learning Roles & Responsibilities: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a talented and passionate AI/ML Engineer to join our innovative technology team. The ideal candidate will be at the heart of designing and building the intelligent systems that power our products and services. This role involves working on the complete lifecycle of machine learning projects, from data collection and preprocessing to model development, deployment, and maintenance. You will be a key player in transforming complex data into actionable insights and creating AI\-driven solutions that solve real\-world problems. Primary Responsibilities * Design and Develop ML Models: Research, design, and develop machine learning and deep learning models to address business challenges. This includes everything from selecting the right algorithms to building predictive models from the ground up * Data Pipeline and Preprocessing: Build and maintain robust data pipelines. You will be responsible for gathering data from various sources, cleaning it, and transforming it into a usable format for model training * Model Training and Evaluation: Train, test, and validate machine learning models to ensure they are accurate, reliable, and meet business requirements. This involves performing statistical analysis and running experiments to optimize model performance * Deployment and MLOps: Deploy trained models into production environments and maintain their lifecycle. You will implement MLOps best practices for monitoring, retraining, and updating models to ensure they remain effective over time * Collaboration and Innovation: Work closely with data scientists, software engineers, and product managers to integrate AI/ML models into our applications and systems * Stay Current: Keep up\-to\-date with the latest advancements in the field of AI, machine learning, and deep learning, and be prepared to apply new research to our products * Build Generative AI \& LLM Workflows: Design, develop, and optimize LLM\-powered applications and agentic workflows, including retrieval\-augmented generation (RAG), prompt engineering, tool/function calling, and multi\-step orchestration, to deliver production\-grade generative AI features * Ensure LLM Reliability \& Evaluation: Establish evaluation frameworks, guardrails, and structured, type\-safe output validation to ensure generative AI systems are accurate, safe, cost\-efficient, and reliable in production * Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: Senior Machine Learning Engineer Company: PharmEasy Job Category: Machine Learning Roles & Responsibilities: Launched in 2015, PharmEasy is a consumer healthcare “super app.” Started with the sole purpose of making healthcare accessible C affordable to all, PharmEasy today is India's leading C most trusted onlinehealthcare aggregator in the country. About the role distribution), and Thyrocare (diagnostics). This is a hands\-on role. You'll build and deploy ML leaderboard rankings. evaluation, deployment, and monitoring. \#Hiring \#PharmEasyCareers \#MachineLearningEngineer \#AppliedAI \#AgenticAI \#GenerativeAI \#LLMEngineering \#MLOps \#ProductionML \#AIEngineering \#MachineLearningJobs \#AIJobsIndia \#BangaloreJobs \#PythonDeveloper \#TechHiring Work Location: Bengaluru, Karnataka, India Availability: Full time

Job Title: AI/ML Engineer (with AWS Cloud Skills) Company: Infosys Job Category: Machine Learning Roles & Responsibilities: Develop, train, evaluate, and deploy Machine Learning models for business use cases. Build predictive analytics, classification, regression, recommendation, and NLP solutions. Work with structured and unstructured datasets for model development. Perform feature engineering, model tuning, and performance optimization. Develop applications using LLMs and Generative AI technologies. Build Retrieval\-Augmented Generation (RAG) pipelines. Integrate foundation models through AWS Bedrock or OpenAI APIs. Implement prompt engineering and LLM evaluation techniques. Work Location: Bengaluru East, Karnataka, India Availability: Full time