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 Company: Tag-N-Trac Job Category: Machine Learning Roles & Responsibilities: At Tag\-N\-Trac, we provide full stack IoT traceability solution using custom smart labels and ultra\-low power devices. We use cutting\-edge technologies to enable end to end supply chain digitization. We at the forefront of revolutionizing supply chain, warehouse, and inventory management solutions by providing real\-time visibility into assets and shipments. The Role We are seeking an innovative, highly motivated and experienced Data Scientist to join our cutting\-edge team, Hyderabad, India. In this role, the candidate will be at the forefront of developing both traditional predictive AI models as well as implementing Retrieval Augmented Generation (RAG) techniques with generative AI models. As a key member of our Engineering / Data team, you will be responsible for creating and implementing a diverse range of AI solutions. These solutions may include real\-time risk intelligence prediction, a conversational assistant and workflow automation using AI. Your expertise will span both conventional predictive analytics and the latest advancements in generative AI and have an opportunity to lead and drive the solution to end to end. Responsibilities * Understand the AI solution we are trying to provide to the customers, understand the data needs to effectively create that solution and do any data gap analysis as needed * Train and deploy traditional predictive AI models for risk intelligence and optimization in supply chain and logistics * Design and build conversational AI assistants leveraging existing open source LLMs and applying RAG using the enterprise data * Bridge the gap between predictive and generative AI, creating hybrid solutions that leverage the strengths of both approaches * Analyze complex datasets to extract actionable insights for both predictive and generative AI applications * Collaborate with cross\-functional teams to identify opportunities for AI integration across our product suite * Stay abreast of the latest developments in both predictive and generative AI, incorporating new techniques into our workflow Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: Junior AI/ML Engineer Company: NexBase Job Category: Machine Learning Roles & Responsibilities: About the Role: NexBase is looking for a Junior AI/ML Engineer to develop AI\-powered outreach systems, intelligent agents, and business process automation solutions. Key Responsibilities: * Build AI\-powered systems for prospect research, lead qualification, and personalized outreach. * Develop an AI\-driven outreach ecosystem connecting data sources, CRM systems, and email platforms. * Work with Python, LLM APIs, AI agents, and automation tools such as n8n or Make. * Integrate applications using APIs and webhooks. * Assist with email campaigns, automated follow\-ups, and performance reporting. * Collaborate with freelancers and maintain secure, well\-documented systems. Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: Sr. Consultant, Data Science Company: TransUnion Job Category: Machine Learning Roles & Responsibilities: You will work alongside product, engineering, risk, and analytics teams to develop innovative solutions leveraging large\-scale datasets and modern AI/ML technologies.\&\#xa;\&\#xa;This is a remote position which may require occasional in\-person attendance at work\-related events at the discretion of management. Role Overview And Core Responsibilities * Partner with data engineer in the innovation efforts for global technical development, deployment, and maintenance of the Fraud Detection \& Monitoring Program using applicable data programming languages and visualization tools * Collaborate with business and process owners to assess business risks, analyze data and propose hypotheses for new fraud detection and monitoring rules * Perform exploratory data analysis to identify patterns and behaviors indicative of potential fraud, abuse/misuse or violations, conducted by internal associates and external customer * Design and develop dashboards that alert on pre\-defined rules and logic Collaborate with internal global stakeholders to determine needs and lead implementation of a robust reporting solution * Implement temporary workarounds for any breakdowns in processes * Work closely with the Global Technology and Data Architecture teams and provide technical design recommendations on the data mart structures that support analytical applications * Create user process documentation and FAQs for operational instruction as well as presentations and project plans that will be shared all levels of audiences * Understand TransUnion’s products/services and partner with process owners to ensure technical requirements are prioritized, developed and delivered to meet specifications that will target fraud and misuse activities At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good , which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence. Work Location: Maharashtra, 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 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: MDP - Software Engineer III -Python AI/ML Company: FactSet Job Category: Machine Learning Roles & Responsibilities: At FactSet, our values are the foundation of everything we do. They express how we act and operate , serve as a compass in our decision\-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. * Design, develop, and deploy sophisticated machine learning and GenAI models to solve complex data problems at scale. * Implement, optimize, and scale ML solutions using Databricks, Spark, and cloud\-native data ecosystems (AWS/Azure/GCP). * Collaborate with other engineers, product managers, and UX teams to build robust, high\-performance Python\-based analytics pipelines. * Develop and finetune LLMs and generative AI applications for structured and unstructured financial data. * Architect data processing workflows leveraging Delta Lake, Feature Stores, and MLOps best practices. * Translate cutting\-edge research (papers, new ML techniques) into production solutions. * Mentor junior data scientists and engineers on ML, best practices and GenAI. * Work on one\-of\-a\-kind data challenges, including entity disambiguation, real\-time risk analytics, NLP, graph data modeling, and anomaly detection. Keep up\-to\-date with the latest in ML tooling, GenAI, Databricks, and cloud data infrastructure. * * The opportunity to join an S\&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start\-up. * Support for your total well\-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company\-wide wellness days. * Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. * A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. * Career progression planning with dedicated time each month for learning and development. FactSet ( NYSE:FDS \| NASDAQ:FDS ) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy\-side and sell\-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next\-generation workflow solutions, and client\-centric specialized support. As a member of the S\&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn . Work Location: Telangana, India Availability: Full time
