Machine Learning Engineer Jobs

Responsibilities AI/ML + LLM/NLPLead implementation of LLM-based features: summarization, sentiment detection, auto-disposition, escalation taggingFine-tune and evaluate models (Whisper, GPT, HuggingFace, Rasa) for vernacular (Indian) language supportBuild and deploy LangChain pipelines for prompt engineering, QA tagging, and agent assistPrototype emotion recognition, contextual agent replies, and real-time assist layerBuild and maintain inference pipelines using FastAPI, Docker, KubernetesIntegrate AI modules into core product features (Dialer, CRM sync, IVR)Optimize model latency and deployment strategy for high concurrency environmentsArchitect scalable data pipelines using PostgreSQL, Redis, and KafkaBuild ETL/ELT workflows to support real-time analytics, dashboards, and feedback loopsMaintain secure, compliant data storage, retrieval, and access control pipelines (DPDP, GDPR-ready) Collaboration & LeadershipWork closely with Product, Engineering, and UX to deliver features that directly impact agent productivityGuide junior ML and data engineers; define and enforce coding/data standardsContribute to AI strategy, model governance, and data infrastructure roadmapRequired Skills & QualificationsTotal experience of 10-12 years5 years of experience in ML/AI/Data Engineering with exposure to LLMs and production-grade pipelinesHands-on with Whisper, LangChain, HuggingFace, or similar frameworksSolid Python (FastAPI preferred), SQL/PostgreSQL, and experience with RESTful APIsProven experience with CI/CD, Docker, K3s/Kubernetes, Redis, Kafka/RabbitMQStrong understanding of NLP/STT/TTS, summarization, and emotion taggingAbility to work in startup-paced environments with ownership mindsetBonus SkillsExperience with multilingual models (Hindi, Tamil, Bengali)Exposure to Rasa, Coqui TTS, or OpenWA integrationsPrior work in SaaS/Contact Center/Dialer/CRM ecosystemsFamiliarity with speech emotion recognition or agent.

We are looking for a highly capable AI Lead Engineer to contribute to the design and delivery of intelligent, scalable AI solutions. This role focuses on building production-grade systems involving LLMs, vector databases, agent-based workflows, and Retrieval-Augmented Generation (RAG) architectures on the cloud. The ideal candidate should demonstrate strong problem-solving abilities, hands-on technical skills, and the ability to align AI design with real-world business needs.Must-Have SkillsStrong coding ability in Python and proficiency in SQL.Hands-on experience with vector databases (e.g., Pinecone, FAISS, Weaviate).Practical experience with LLMs (OpenAI, Claude, Gemini, etc.) in real-world workflows.Familiarity with LangChain, LlamaIndex, or similar orchestration tools.Proven track record in delivering scalable AI systems on public cloud (Azure, AWS, or GCP).Experience building and optimizing RAG pipelines.Solid understanding of server less/cloud-native architecture and event-driven design.Integrate/expose the ai solution in applications using fastapi,flask,djangoPreferred or Good to Have SkillsExposure to agentic AI patterns and multi-agent coordination.Knowledge of AI system safety practices (e.g., hallucination filtering, grounding).Experience with MLOps tools (MLflow, KubeFlow) and CI/CD for ML.Understanding of concept/data drift and retraining strategies in production.Experience working on AI projects involving classification, regression, and clustering models.Prior work on multi-modal AI pipelines (vision + language).Familiarity with real-time inference tuning (batching, concurrency).Demonstrated ability to deliver a variety of AI solutions in production environments across domains.Any Other:Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.Strong analytical mindset with a clear focus on business-aligned AI delivery.Excellent verbal and written communication skills.Key ResponsibilitiesCollaborate with the Solution Architect to design agentic AI systems (e.g., ReAct, CodeAct, Self-Reflective Agents).Build and deploy scalable RAG pipelines using vector databases and embedding models.Integrate modern AI tools (e.g., LangChain, LlamaIndex, Kagi, Search APIs) into solution workflows.Optimize inference performance for cloud and edge environments.Contribute to the development of feedback loops, drift detection, and self-healing AI systems.Deploy, monitor, and manage AI solutions on cloud platforms (Azure, AWS, or GCP).Translate business use cases into robust technical solutions in collaboration with cross-functional teams.

We are seeking a talented AI/ML Engineer to design, develop, and deploy machine learning models that solve real-world business problems.Key ResponsibilitiesDevelop, train, and optimize machine learning and deep learning models.Design and implement AI solutions for automation, prediction, and data analysis.Work with large datasets to clean, preprocess, and engineer features.Deploy models into production environments and monitor performance.Build scalable ML pipelines and integrate models with applications.Conduct experiments, model evaluations, and performance tuning.Collaborate with cross-functional teams including data engineers and product managers.Stay updated with the latest research and advancements in AI/ML.Note: Only Pune-based candidates can eligible to apply.

Role OverviewWe are seeking a highly skilled Machine Learning Engineer with 4+ years of experience to bridge the gap between Generative AI and actionable business intelligence. The ideal candidate will be responsible for optimizing Large Language Model (LLM) performance and developing advanced clustering models for customer and product segmentation.Location : Shollinganallur , ChennaiKey ResponsibilitiesLLM Optimization & EvaluationOptimize accuracy and reduce latency of LLM-powered applicationsDesign and implement robust LLM evaluation frameworksWork with LLM APIs and integrate them into production workflowsAdvanced Analytics & ModelingDevelop clustering models for customer and product segmentationIncorporate complex business logic into ML modelsApply statistical and machine learning techniques to derive actionable insightsData Engineering & OrchestrationBuild and maintain scalable data pipelines using SQLDevelop and manage Python-based DAGs (e.g., Airflow)Ensure efficient data processing and workflow automationTechnical RequirementsMandatory SkillsStrong experience in LLM EvaluationHands-on expertise in Clustering TechniquesAdvanced proficiency in SQLExperience building Python-based DAGs (Airflow or similar tools)Experience working with LLM APIsPreferred (Bonus) SkillsExperience in self-hosting and fine-tuning LLMsKnowledge of Time Series ForecastingExperience in Dimension Reduction techniquesFamiliarity with Market Basket AnalysisHands-on experience with Spark and Alteryx

AIML Engineer Job DescriptionExp: 4+ yrsNP : Immediate / 15 daysLocation : Bhubaneswar/ Bangalore/ ChennaiPosition OverviewWe are seeking a highly skilled Artificial Intelligence & Machine Learning Engineer to design, develop, and deploy intelligent systems that solve complex business problems. The role involves applying advanced algorithms, data science techniques, and deep learning frameworks to build scalable AI solutions.Key ResponsibilitiesModel Development: Design, train, and optimize ML/DL models for predictive analytics, NLP, computer vision, and recommendation systems.Data Engineering: Collect, preprocess, and analyze large datasets to ensure quality and usability.Deployment & Integration: Implement AI models into production environments using cloud platforms (AWS, Azure, GCP).Research & Innovation: Stay updated with emerging AI/ML technologies and apply them to business challenges.Collaboration: Work closely with product managers, data scientists, and software engineers to deliver end-to-end AI solutions.Performance Monitoring: Continuously evaluate and improve deployed models for accuracy, scalability, and efficiency.Required Skills & QualificationsStrong programming skills in Python, R, Java, or C++.Expertise in ML/DL frameworks: TensorFlow, PyTorch, Keras, Scikit-learn.Solid understanding of statistics, probability, and linear algebra.Experience with cloud services: AWS SageMaker, Azure ML, Google AI Platform.Knowledge of data handling tools: SQL, Spark, Hadoop.Familiarity with NLP, computer vision, reinforcement learning.Strong problem-solving, communication, and teamwork skills.Preferred QualificationsExperience with MLOps (CI/CD pipelines for ML).Hands-on with big data technologies.Publications or contributions to AI research.Infested candidate can share CV to Rekha.C@eagledrift.com

Job Title: ML Engineer - Workflow Automation & Response Intelligence Role Overview: We-re seeking an experienced ML Engineer to lead initiatives in workflow automation and sentiment-driven response generation using third-party AI agents. The candidate will be responsible for integrating external AI services, orchestrating intelligent workflows, and ensuring contextual, automated replies based on sentiment and intent.Key Responsibilities:Integrate and orchestrate third-party AI agents for sentiment analysis and auto-response generationDesign and maintain workflow automation pipelines that trigger intelligent actions based on AI outputsConfigure and fine-tune agent behavior for tone, escalation logic, and contextual relevanceCollaborate with engineering and product teams to define response logic and escalation pathsMonitor agent performance, ensure reliability, and manage API interactionsDocument workflows, integration logic, and fallback strategies in ConfluenceRequired Skills:4-5 years of experience in AI/ML engineering or intelligent automationStrong proficiency in Python for scripting and API orchestrationExperience integrating third-party AI services (e.g., OpenAI, Google Cloud AI, Azure Cognitive Services)Familiarity with sentiment analysis, intent classification, and response generationWorkflow orchestration using tools like Airflow, Prefect, or custom schedulersREST API integration and error handlingVersion control using Git, and task management via JiraNice to Have:Exposure to LangChain, Rasa, or other conversational AI frameworksExperience with LLM prompt engineering and agent chainingUnderstanding of ethical AI principles and fallback logic for agent responsesExposure to Golang and PostgreSQL database

We are hiring an experienced ML Engineer to lead the design and deployment of robust, production-ready AI systems. You will drive experimentation, model validation, and edge performance benchmarking for scalable biometric applications.

Are you a fun loving and passionate to be a part of Global Innovator team? Are you planning to grow your career, which enhance your skills in technology? A career in IT can open many doors for you in the world of technology. If you are looking for a company that is dedicated to your ideas, recognizes you for your unique competency & contributions and provides a fun, flexible and delightful work atmosphere.Then, we are the right place to ignite your passion. We are totally committed about our employees, our Clients & Customers, our work culture and especially our technology. We are a flat organization where opportunities are provide based on talent and we always encourage new ideas of employees through collaboration and creativity.We are seeking for smart-driven IT JAVA/dotnet/python Programmers to join us. The candidate will work with the global product development team and subject matter experts. An ideal candidate must possess excellent business skills with outstanding Analytical & logical skills, professionalism, Intelligent and should have the zeal to learn.Core Competency:Masters or bachelors degree in Engineering (CSE / IT / MCA /or any fresher looking to work in Software) are preferred.Passionate Fresher who can wok in technologies into Java,dotnet ,python,sql applications.Possesses intellectual humility; smart-driven, creative and able to learn things from slipups, willing to raise others up.Excellent Logical & Analytical skills with integrated professionalism at all levels.Strong Knowledge in Java, Frame-works like Spring, Spring boot (Mandatory); J2EE technologies like Servlets, JSP and Web Application Server or dotnet(c#,aspdotnet,python,reactjs,angular,ui or ux deigning).Good knowledge in web technologies like HTML, Java Script, XML and CSS.Candidates must be team players, have a thirst for knowledge, the energy to work in a fast-paced environment and a desire to grow in an entrepreneurial company.Key Responsibilities:The role is responsible for designing, coding and deploying of high-performance applications.Excellent interpersonal, Communication and effective organizational skills with solid technical skills.Should be able to communicate effectively with both technical and non-technical personnel.Excellent trouble shootings & problem-solving skills.Practical Knowledge with SDLC from requirement analysis through testing and deployment is a plus.Devising possible solutions to anticipated problems.Develop and maintain strong product knowledge.Guide the clients through various stages of the project and transition to support organization.Review existing business processes and participate in the Process Improvement Program.

Position OverviewWere hiring candidates with deep expertise in audio signal processing and neural network-based detection. The selected engineer will be responsible for delivering a production-grade, real-time deepfake detection pipeline as part of a time-sensitive, high-stakes 3-month pilot deployment. Design and Deliver Core Detection PipelineLead the development of a robust, modular deepfake detection pipeline capable of ingesting, processing, and classifying real-time audio streams with high accuracy and low latency. Architect the system to operate under telecom-grade conditions with configurable interfaces and scalable deployment strategies. Model Strategy, Development, and OptimizationOwn the experimentation and refinement of state-of-the-art deep learning models for voice fraud detection. Evaluate multiple model families, benchmark performance across datasets, and strategically select or ensemble models that balance precision, robustness, and compute efficiency for real-world deployment. Latency-Conscious Production ReadinessEnsure the entire detection stack meets strict performance targets, including sub-20ms inference latency. Apply industry best practices in model compression, preprocessing optimization, and system-level integration to support high-throughput inference on both CPU and GPU environments. Evaluation Framework and Continuous TestingDesign and implement a comprehensive evaluation suite to validate model accuracy, false positive rates, and environmental robustness. Conduct rigorous testing across domains, including cross-corpus validation, telephony channel effects, adversarial scenarios, and environmental noise conditions. Deployment Engineering and API IntegrationDeliver a fully containerized, production-ready inference service with REST/gRPC endpoints. Build CI/CD pipelines, integration tests, and monitoring hooks to ensure system integrity, traceability.

Job Overview:This role is to support the students who are working on the course assignments and project as the part of ExcelR training.Responsibilities and Duties:- Evaluate Assignments of the Students- Help the participants to solve their Queries - mentor/ Co- mentor the projectsQualifications:-Any graduate-Completed the course on Data Analytics or Data Science-Should have a Good Communication skillsRequirements:For DA: any of the following 2 modules (Excel, My SQL, Tableau, PowerBI)For DS: Knowledge of ML concepts

We are seeking a skilled and motivated Machine Learning Engineer to join our innovative AGPHRteam. The ideal candidate will have hands-on experience developing and deploying machine learning models, working with video/image datasets, and leveraging cloud technologies to build scalable AI solutions. This role involves collaborating with cross-functional teams, designing data pipelines, and driving data-driven decision-making processes. Responsibilities: Develop, train, and deploy machine learning models for various applications such as detection/ classification, clustering, and recommendation systems. Design and implement scalable data pipelines and ETL processes to preprocess and analyze video/image datasets. Work closely with data scientists, software engineers, and business teams to understand requirements and deliver end-to-end AI solutions. Optimize model performance and ensure robustness through hyperparameter tuning, feature engineering, and evaluation. Deploy models into production environments using cloud platforms like AWS, Azure, or Google Cloud. Implement and maintain model monitoring systems to track performance and ensure reliability. Stay updated with the latest advancements in machine learning, deep learning, and AI technologies. Contribute to code reviews, best practices, and continuous improvement processes within the team. Required Skills: Demonstrable skills in owning Machine Learning projects in the past. Proficiency in Python and machine learning libraries like TensorFlow, PyTorch, Scikit-learn, and Pandas. Hands-on experience of YOLO/ImageNet/Bytetrack or similar models. Strong understanding of statistical concepts, data analysis, and data visualization. This document is strictly confidential Experience with cloud platforms like AWS, Azure, or Google Cloud for model deployment and data storage.

3+ years of experience in AI/ML engineering or related fields.Proficiency in Python and machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, etc.).Strong understanding of data science concepts, including statistical analysis and predictive modeling.Experience working with large datasets and cloud platforms (AWS, Google Cloud, Azure).Solid understanding of algorithms, data structures, and optimization techniques.Experience with data preprocessing, model training, and deployment.Familiarity with natural language processing (NLP) and computer vision (CV) is a plus.Strong problem-solving skills and ability to work in an agile environment.

Level of skills and experience:5 years of hands-on experience in using Python, Spark,Sql.Experienced in AWS Cloud usage and management.Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.Experience with orchestrators such as Airflow and Kubeflow.Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).Fundamental understanding of Parquet, Delta Lake and other data file formats.Proficiency on an IaC tool such as Terraform, CDK or Cloud Formation.Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

Machine Learning Engineer - Street SimplifiedFull-time, Remote: US Time, PSTAt Street Simplified, we use video analytics to help public sector agencies understand why crashes happen and give them the tools to proactively prevent them. We are looking to hire a Machine Learning Engineer who is passionate about eliminating crashes and saving lives. Responsibilities and Duties:Develop new capabilities that eliminate crashes & save livesImplement/extend the core code base to provide additional functionality & support Design production tests and production deployment systemExperience:Experience working on very large 100+ GB datasets Experience managing a large code base, following best practices, clean coding, documentation, commits, testingExperience solving difficult math/ physics problems Experience programming in Python and preferably also C/C++Experience interfacing with AWS for production processingExperience with (As many as possible)Data ScienceMachine learningReal-time edge computing (preferably on NVIDIA hardware) Statistics Optimization Training neural networksClassical computer vision Signal ProcessingAlgorithm developmentQualifications:Masters, or PhD in EE, CS, Physics, or a related field (compensation will vary based on expertise, experience, and education)Proven track record of solving difficult technical problems across domains Highly efficient programmer/ multitasker Must communicate effectively in spoken and written English

Welcome to Thirumoolar IT Solutions Free Internship Program 2025Duration : One MonthWorkplace: Work From HomeLaptop: Self/Own Laptop or 25k refundable deposit for company laptopIntern Administrative Cost: (Rs.1000 (Registration fee)+180 (18%GST) = Rs.1180Internship Domain: Machine LearningBenefits For Interns1. All interns will be provided with A+ Class training2. Intern completion certificate3. Intern ID card4. Company T-shirtImportant NoteAfter completion of the internship, the candidate will be observed in our company for direct hiring based on their performance at the time of internship

Qualifications: 5-7 years of professional experience in machine learning, data science, or related roles. Should have good exposure and understanding in time series Modelling using ARIMA, ARIMAX Exposure into how to handle underfitting and overfitting. Should be capable of applying techniques which helps to generalize Models. Regularization techniques LASSO, RIDGE & ELASTIC NET and when to apply them. Good exposure in Unsupervised machine learning like clustering, dimensionality reduction, Outlier detection Ability to understand how Models are optimized using various techniques including Gradient Descent approach. Good understanding of deep learning algorithms CNN, RNN, LSTM and how to control overfitting in such cases. Good hands on in data engineering to process huge scale of data using Big Data (Spark/Hive) Good coding practices to write production ready code for creating data pipeline for Models to consume. Very good hands on in python (Pandas/Numpy/Scikit-Learn/NLTK/spaCy/Matplotlib) Able to apply the right level of ML techniques for the given problem statement. Ability to access information contained in data and engineer appropriate features. Familiar with Python language and various platforms for hosting ML models Expert in model training, tuning and validation. Expert in statistical techniques, deep learning methodologies, GenAI, alternate techniques such as Bayesian etc. Exposure to big data and related models Ability to articulate model choice and convert outcome for business decision making. Expert in Model Development Lifecycle from sourcing to model monitoring Ability to create code that is highly performance in the given platform. Ability to map model and business use case to the appropriate platform and tools needed. Understanding of technical and machine learning governance Ability to validate and articulate model choices with relevant metrics (precision, recall, confusion matrix, RMSE,

Responsible for designing, developing, and deploying, machine learning systems by analyzing large datasets , selecting appropriate algorithms, building models, testing their accuracy, and optimizing them for real world applications

Lifelong learning is a vital skill that involves proactively acquiring new knowledge, skills, and experiences to excel in an ever-evolving world. It emphasizes curiosity-driven exploration through formal education, online courses, workshops, and self-study. A dedicated learner enhances technical, soft, and domain-specific skills, applying this knowledge to solve real-world challenges effectively. Key qualities of a lifelong learner include a growth mindset, adaptability, self-motivation, and resilience, allowing them to embrace new concepts, tools, and feedback while learning from failures. Effective time management and critical thinking further enable them to balance learning with other responsibilities. Leveraging platforms like Coursera, NPTEL, and industry resources, as well as engaging in collaboration and hands-on practice, supports continuous development. This commitment to learning ensures personal and professional growth, fostering adaptability and innovation in a dynamic environment.

We are seeking a skilled MLOps Engineer to lead the automation of the ML lifecycle from training to deployment. You will manage scalable CI/CD pipelines, containerized workflows, and performance monitoring across multiple deployment targets.

Job Summary:We are seeking a highly skilled and experienced in AI specializing in machine learning, computer vision with a focus on image processing, pattern recognition, video analytics & biometric matching (face, voice etc.). As per the role, you will play a pivotal role in guiding the innovation and development of AI and computer vision- based biometric modules. The ideal candidate will have extensive hands-on experience in creating and deploying machine learning models in large-scale scenarios, with a strong focus on object detection, computer vision, and deep learning model architectures & frameworks, ML Ops & orchestration.Key ResponsibilitiesML Model Development: Lead the design, development, and deployment of machine learning models, specifically in the context of biometric identity verification.Innovation and Research: Stay abreast of the latest advancements in AI and computer vision technologies. Drive innovation by exploring and implementing state-of-the-art solutions in the realm of biometrics.Solution Design & Deployment: Lead the design and architecture of AI solutions, ensuring alignment with business objectives. Collaborate with cross-functional teams to create robust, accurate & scalable solutions for image and video analytics, data analytics, large scale biometric matching processing.Guidance and Mentorship: Provide technical leadership to the data science team, offering guidance and mentorship to ensure the highest standards of performance and continuous skill development. Effectively delegate tasks to junior team members, providing guidance and mentorship. Foster a collaborative team environment and ensure the timely delivery of high-quality solutions.Collaboration: Work closely with other departments, such as software engineering and product management, to integrate machine learning solutions seamlessly into our products and services.Communication: Clearly communicate complex technical concepts to both technical and non-technical

Role OverviewWe are looking for a passionate Python Developer to join our team in Jaipur. The candidate will be responsible for developing scalable applications, writing clean code, and collaborating with cross-functional teams to deliver high-quality software solutions. Key ResponsibilitiesDevelop, test, and maintain Python-based applications and backend systemsWrite clean, efficient, and reusable codeDesign and integrate REST APIs and third-party servicesWork with databases (MySQL, PostgreSQL, MongoDB)Debug, troubleshoot, and optimize application performanceCollaborate with front-end developers, designers, and QA teamsParticipate in code reviews and improve development practicesStay updated with latest Python frameworks and technologies Required SkillsStrong knowledge of Python programmingUnderstanding of OOPs, data structures, and algorithmsExperience with at least one framework: Django / Flask / FastAPIBasic knowledge of REST APIs and web developmentFamiliarity with databases (SQL/NoSQL)Version control tools like GitProblem-solving and analytical thinking skills Preferred Skills (Good to Have)Knowledge of HTML, CSS, JavaScriptExperience with cloud platforms (AWS/GCP/Azure)Familiarity with Docker, CI/CD pipelinesExposure to Agile development methodologies