Job Title: Machine Learning Engineer - Time Series Analysis Company: Swasti Job Category: Machine Learning Roles & Responsibilities: About The Role We're looking for a hands-on ML engineer to build and ship models across our sensor-driven product ecosystem, working closely with the ML Lead on digital signal processing, computer vision, and time series problems. You're comfortable taking a model from an early prototype through to a reliable, production-deployed system. * Build and iterate on ML models for time series, audio signal, and sensor fusion problems, under the guidance of the ML Lead * Build and maintain data preprocessing and feature engineering pipelines that prepare sensor data for training and inference at scale * Package and deploy models into production, including on edge or embedded compute, with attention to latency and resource constraints * Run structured experiments to evaluate model accuracy, generalization, and failure modes, and document findings clearly * Support monitoring and retraining pipelines that track model performance and drift after deployment * Work closely with firmware, hardware, and app teams to turn model outputs into clear, actionable product insight * Ship models that run on real hardware, on real dogs - not just in a notebook * Learn directly from the ML Lead while owning real pieces of the roadmap * Take ownership early, with a direct line to the people building the rest of the product * Join a small, fast-moving team building a category-defining, sensor-driven product Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Business Analytics Analyst- Generative AI Company: Citi Job Category: Machine Learning Roles & Responsibilities: Citi Analytics and Information Management (AIM) Citi AIM was established in 2003 and is located across multiple cities in India - Bengaluru, Chennai, Gurugram and Pune. It is a global community that objectively connects and analyzes information, to create actionable intelligence for our business leaders. It identifies fact-based opportunities for revenue growth in partnership with the businesses. The function balances customer needs, business strategy, and profit objectives using best in class and relevant analytic methodologies. Role Description: The Business Analytics Analyst (C10) is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams. * Drive Digital Marketing, Product Sales & Engagement: + Develop and execute sophisticated digital marketing strategies to significantly grow digital product sales and increase customer footfall and stickiness on our platforms. + Analyze user behavior and campaign performance to identify new opportunities for engagement and revenue generation. * Optimizing Digital Servicing Channels (Website & Mobile App): + Conduct deep-dive analyses of our website and mobile app to identify and eliminate points of friction in the customer service journey, making them more intuitive, efficient, and user-friendly. + Analyze customer interaction data to find opportunities to streamline the digital experience, reducing the need for customers to resort to calls or chats. * Leverage Advanced Analytics and AI: + Apply Gen-AI powered analysis to enhance customer interactions, particularly in areas like Chatbot performance and personalized user experiences. + Design, develop, and implement advanced GenAI solutions using techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), and Agentic AI models with frameworks like LangChain and LangGraph. + Use analytical intelligence to uncover deep insights that inform strategies for reducing our cost-to-serve and improving overall efficiency across the customer lifecycle. * Fostering a Culture of Experimentation: + Lead the industrialization and enhancement of our "Test & Learn" capability, enabling the rapid design, execution, and measurement of experiments for new digital features and marketing campaigns. + Utilize A/B testing, multivariate testing, and other experimentation techniques to generate actionable insights and drive continuous improvement. Responsibilities: * Interpret complex data sets to identify significant trends, patterns, and anomalies, translating these into clear, concise, and impactful insights that support informed decision-making for business partners and senior leadership. * Identifies and compiles data sets using a variety of tools (e.g. SQL, Python, PySpark) to help predict, improve, and measure the success of key business to business outcomes. * Utilize statistical methods and analytical tools to extract meaningful insights from large and complex datasets. * Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis, which may include utilizing statistical models / algorithms and data visualization techniques. * Incumbents in this role may often be referred to as Data Scientists. Decision Management Work Location: Karnataka, India Availability: Full time
Job Title: Senior Applied Scientist, Amazon Core Search Company: Amazon Job Category: Machine Learning Roles & Responsibilities: As Amazon expands to new interfaces, we are faced with the unique challenge of maintaining the bar on Search Assistance and Search Quality. We are looking for a Senior Applied Scientist to work on improving search on Amazon using NLP, ML, and DL technology. As an Applied Scientist, you will lead our efforts in search autocomplete — developing high-quality suggestions. You will build systems that anticipate search query intent and surface the right suggestions and results. As part of this role, you will develop high precision, high recall, and low latency solutions for search. Your solutions should work for all languages that Amazon supports and will be used in all Amazon locales world-wide. You will develop scalable science and engineering solutions that work successfully in production. You will work with leaders to develop a strategic vision and long term plans to improve search globally. Key job responsibilities * Develop and deploy ML models to produce high-quality, diverse search autocomplete suggestions. * Design and train semantic matching models (bi-encoders, cross-encoders, and distillation from large foundation models) for suggestion ranking and relevance. * Develop reinforcement learning and reward-modeling approaches to continuously improve suggestion quality. * Train multi-objective ranking and scoring systems that balance suggestion diversity, specificity, and relevance. * Design and implement scalable model architectures optimized for strict latency constraints, including knowledge distillation, quantization, and efficient inference strategies for production deployment. * Lead end-to-end science projects from problem formulation through production launch, mentoring scientists and collaborating closely with engineers and scientists within and outside the team to deliver customer-facing impact. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Machine Learning Engineer Company: Fox Corporation Job Category: Machine Learning Roles & Responsibilities: OVERVIEW OF THE COMPANY Fox Corporation Under the FOX banner, we produce and distribute content through some of the world’s leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking. JOB DESCRIPTION Overview Of The Company Fox Corporation is home to industry-leading brands including FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations, and Tubi Media Group. We combine innovative technology, deep data insights, and world-class content to shape the future of digital entertainment. Our DTC platforms are built to deliver highly personalized, scalable user experiences to millions of global users. About The Role FOX Corporation is looking for a SDE (L2), ML / Senior Engineer, ML to join the Personalization & Recommendations (PnR) team and help drive the evolution of personalized content discovery across our streaming products. In this role, you’ll be a hands-on contributor responsible for designing, building, and deploying ML models for recommendations, ranking, and semantic search , and ensuring they evolve through continuous learning and experimentation . You will work at the intersection of ML model development, production engineering, and data-driven experimentation , collaborating with cross-functional teams to ensure scalable, performant, and personalized experiences. This role is ideal for engineers who have built and iterated on production-grade personalization systems and thrive on both deep technical challenges and business impact. A SNAPSHOT OF YOUR RESPONSIBILITIES * Design and build scalable recommendation and personalization models (ranking, re-ranking, user embeddings, semantic retrieval) * Own the full model lifecycle: from data preparation , training , and evaluation , to versioning , deployment , and monitoring * Develop and maintain continuous training loops and model refresh strategies for dynamic personalization * Set up and interpret A/B experiments to optimize model performance and user engagement * Collaborate with data engineers, MLOps teams, and product managers to ensure models integrate seamlessly into real-time and batch inference pipelines * Leverage platforms like Databricks, MLflow , and feature stores to streamline model experimentation and reproducibility * Apply LLMs and AI agents to improve personalization workflows and accelerate ML development pipelines * Contribute to architecture decisions for personalization services and model serving infrastructure * Mentor and provide technical guidance to junior data scientists and ML engineers , conducting code reviews, sharing best practices, and supporting their growth in areas such as model development, experimentation, and productionization Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Applied Scientist, Alexa Ads Company: Amazon Job Category: Machine Learning Roles & Responsibilities: Description Alexa+ is the world’s best Generative AI powered personal assistant / agent for consumers, and is becoming the conversational AI interface for Amazon services with the launch of Alexa for Shopping on Amazon.com and Amazon mobile app. At Alexa Ads, we are creating industry's first and most advanced Agentic Advertising products to drive Agentic Commerce. We are seeking an Applied Scientist to join our newly expanding team in India focused on Alexa Agentic/Conversational Ads and Personalization. In this role, you will build machine learning models that seamlessly and naturally integrate relevant advertising into the Alexa experience while deeply personalizing user interactions. You will work closely with other scientists, engineers, and product managers to take models from conception to production. Key job responsibilities Design, develop, and evaluate innovative deep learning and GenAI models for natural language processing (NLP), recommendation systems, and personalization. Collaborate with software development engineers to deploy models into high-scale, real-time production environments. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Lead AI/ML Engineer, Applied AI Company: Thermo Fisher Scientific Job Category: Machine Learning Roles & Responsibilities: Work Schedule Standard (Mon-Fri) About The Role At Thermo Fisher Scientific, you’ll do meaningful work that makes a positive global impact. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner, and safer. With industry-leading R&D investment, we empower our teams to solve complex scientific challenges—from environmental protection to advancing healthcare and cancer research. As a Lead AI/ML Engineer, Applied AI, you will provide hands-on technical leadership across the design, development, evaluation, and production deployment of advanced AI/ML solutions. You will architect and build machine learning and deep learning models, Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) solutions, and agentic workflows that power internal and external customer-facing applications, drive business insights, enhance scientific workflows, and improve customer experiences. You will work across the AI/ML lifecycle – from ideation, research, and experimentation through data engineering, model development and optimization, evaluation, performance tuning and deployment. Partnering closely with data scientists, software engineers, product teams and scientific stakeholders, you will translate complex business and scientific needs into scalable, reliable, and impactful AI/ML capabilities. You’ll also mentor engineers, influence platform strategy, and ensure AI-driven systems are accurate through consistent evaluation frameworks, engineering standards and technical best practices. A successful candidate in this role is expected to collaborate effectively with the broader teams, and consistently deliver well-architected, scalable, secure, production-grade AI and Generative AI features supporting a variety of use cases and scientific products, with measurable impact on scientific workflows, customer outcomes and innovation velocity. This role combines deep hands-on individual contributor leadership with growing management responsibility . You will personally architect, build and evaluate advanced AI/ML solutions while progressively taking on the leadership of a team as headcount grows. Hands-on contribution remains primary focus for this role, making it ideal for a technical leader who wants to continue building while expanding their influence through mentorship, technical direction and team leadership. : Key Responsibilities * Lead activities across the AI/ML lifecycle – from ideation, research, data engineering, model development and optimization, evaluation, performance tuning and deployment, while continuously engaging customers to gather feedback and incorporate it into solution development. * Iteratively develop, deploy and scale AI/ML models and solutions across life sciences, genomics, material sciences, and healthcare. * Provide technical leadership for AI/ML models, platforms, and solutions, including defining reference model and system architectures, software design standards, reusable patterns, and best practices for AI and Generative AI solutions. * Champion an evaluation-driven approach to AI/ML solution development, establishing rigorous evaluation practices and promoting their consistent adoption across the organization. * Build and deploy LLM-powered services using Azure OpenAI, Anthropic Claude, and OpenAI-compatible APIs. * Architect and implement agentic AI and RAG workflows, including data ingestion, chunking, embeddings, vector search, retrieval, tool calling, memory, and prompt engineering. * Design, develop, and integrate Generative AI systems using LangChain and LangGraph for agentic workflows and orchestration. * Integrate AI/Generative AI capabilities into enterprise platforms, scientific applications and end-to-end workflows. * Mentor and guide engineers across the AI/ML lifecycle, including model development, evaluation, and implementation of AI solutions. * Actively participate in Communities of Practice, influencing engineering standards and AI/Generative AI adoption strategies across the organization. * Communicate effectively with technical and non-technical stakeholders through clear documentation, architecture diagrams and design reviews. * Stay current with advancements in AI/ML, Generative AI, agentic frameworks, and LLM ecosystems, and apply relevant innovations to enhance internal tools, scientific solutions and customer-facing products. * Lead, manage and develop a team of AI/ML engineers and solution developers to deliver measurable outcomes in a fast-paced environment. * Master’s degree in AI/ML, computer science, statistics, engineering, or a related technical field. Ph.D. degree preferred. * 10+ years of industry experience in software engineering and developing AI/ML solutions, with a strong track record of shipping AI/ML solutions into real production systems in a robust experimentation framework, not just offline analyses or research prototypes. * 0-1 years of experience working in agile/scrum environments. * 0-1 years of experience leading, supervising, and developing technical talent in an applied AI/ML setting. * Hands-on experience in developing and applying AI techniques and algorithms, including deep learning, CNNs, decision trees, clustering, ensembles, and related approaches, with demonstrated experience deploying them into real production systems. * Strong proficiency in Python, PyTorch, C++, C#, and other relevant programming languages and frameworks. * Strong data engineering skills, including ETL/data pipelines and large-scale data processing and analysis using tools such as Pandas and NumPy. * Hands-on experience developing production-grade retrieval-augmented generation (RAG) and agentic AI solutions, including embeddings, retrieval, vector search, tool calling, orchestration, and evaluation. * Experience with LangChain and LangGraph for LLM orchestration and agentic workflows. * Demonstrated experience leveraging AI coding assistants or agents as part of your engineering workflow. * Proven ability to work closely with backend, platform, and application engineers on model serving, pipeline architecture, deployment infrastructure, and production integration with sound judgement in balancing scope, quality, and speed to delivery. * Excellent written and verbal communication skills, with the ability to explain complex technical concepts clearly. * Strong experience in people mentorship and supervision. * Flexibility and adaptability to work in a fast-paced and collaborative environment. * Preferred: Hands-on experience developing and deploying AI/ML models and solutions for life sciences, genomics, materials sciences, healthcare, or other regulatory settings. * Preferred: Experience with MLOps or LLMOps concepts including deployment, monitoring, orchestration, observability, and model lifecycle management. * Preferred: Experience applying AI/ML models and methods to computational biology. * Preferred: Experience with cloud platforms such as Azure, AWS or GCP. Work Location: Bengaluru East, Karnataka, India Availability: Full time
Job Title: Senior Machine Learning Engineer Company: Ericsson Job Category: Machine Learning Roles & Responsibilities: * Design, build and maintain end-to-end ML pipelines for data ingestion, model training, evaluation, deployment and monitoring. * Deploy ML models as scalable microservices and APIs with high availability and low latency. * Automate infrastructure provisioning using Terraform, AWS CloudFormation or similar tools. * Build and manage CI/CD pipelines for model deployment, versioning and rollback. * Integrate ML models into cloud-native architectures using AWS services such as SageMaker, EKS, Lambda, S3, ECS and CloudWatch. * Work with DevOps and platform teams to improve consistency, observability and cost efficiency. * Implement monitoring and alerting for model performance, data drift and system health. * Develop reusable microservices, APIs and SDKs for ML model integration. * Maintain strong standards for code quality, testing and documentation. * Stay updated on developments in MLOps, cloud computing and distributed model serving. * 1-3 years of experience in ML Engineering, Software Engineering or DevOps, with a focus on machine learning systems. * Strong Python skills and experience with TensorFlow, PyTorch or Scikit-learn. * Strong experience with AWS services including SageMaker, Lambda, ECS/EKS, CloudWatch, S3 and IAM. * Experience deploying ML models into production using FastAPI, Flask, gRPC or similar frameworks. * Hands-on experience with Terraform and Infrastructure as Code. * Experience with Docker and Kubernetes. * Good understanding of CI/CD pipelines, model registries and artifact management. * Knowledge of model monitoring, logging and observability tools such as Prometheus, Grafana or Evidently AI. * Strong software engineering practices including version control, modular design, automated testing and code reviews. Work Location: Bengaluru, India Availability: Full time
Job Title: Senior Applied Scientist , Buyer Risk Prevention (BRP) Company: Amazon Business Job Category: Machine Learning Roles & Responsibilities: Description Do you want to lead the development of advanced machine learning systems that protect millions of customers and power a trusted global eCommerce experience? We are seeking a Senior Applied Scientist to define and drive the scientific direction of large-scale risk management systems that safeguard millions of transactions every day. In this role, you will lead the design and deployment of advanced machine learning solutions, influence cross-team technical strategy, and leverage emerging technologies—including Generative AI and LLMs—to build next-generation risk prevention platforms. Key job responsibilities Lead the end-to-end scientific strategy for large-scale fraud and risk modeling initiatives Define problem statements, success metrics, and long-term modeling roadmaps in partnership with business and engineering leaders Design, develop, and deploy highly scalable machine learning systems in real-time production environments Influence system architecture and partner with engineering teams to ensure robust, scalable implementations Establish best practices for experimentation, model validation, monitoring, and lifecycle management Mentor and raise the technical bar for junior scientists through reviews, technical guidance, and thought leadership Communicate complex scientific insights clearly to senior leadership and cross-functional stakeholders Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: AI Engineer + Data Scientist- Lead Company: UST Job Category: Machine Learning Roles & Responsibilities: Role Description Who we are: At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at . Job Description Build and ship production-grade GenAI and agentic AI applications that automate enterprise workflows — from design through deployment. A hands-on individual-contributor role for a strong builder. Key Responsibilities * Build agentic applications using LangGraph, AutoGen, CrewAI, or Semantic Kernel. * Design RAG pipelines — chunking, hybrid search, re-ranking, memory, and tool orchestration. * Deploy and monitor AI workloads on Azure (AKS/ARO) with CI/CD and observability. * Implement responsible-AI guardrails — prompt-injection defense and content filtering. * Define evaluation metrics for task success, hallucination, latency, and cost. Integrity We honour our commitments and act with responsibility in all our relationships. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. * To support and promote the values of UST. * Comply with all Company policies and procedures Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: AI/Meghalaya Engineer (Generative AI, Meghalaya,AWS) Company: Infosys Job Category: Machine Learning Roles & Responsibilities: * Design/deploy Meghalaya pipelines and LLM-powered agents (RAG, Agentic AI) using AWS Bedrock, SageMaker, LangGraph * Develop, train, and productionize Meghalaya models (churn, recommendation, forecasting) with MLOps practices * Build RAG architectures, integrate LLM APIs, prompt engineering, and responsible AI guardrails * Strong Python (Scikit-learn, TensorFlow, PyTorch); hands-on SageMaker; vector DBs (FAISS, Pinecone, OpenSearch) * Must-have: Python, LangGraph/LangChain, Bedrock/OpenAI integration | Nice-to-have: LLM fine-tuning, LangSmith/W&B, AWS Meghalaya Specialty Work Location: Bengaluru East, Karnataka, India Availability: Full time
