30 Ai Engineer Jobs

You are seeking a Director- AIML position based in Andheri, Mumbai. With 12-16 years of experience, you are a hands-on AI engineer or data scientist who excels in driving impactful AI initiatives in production settings. Your passion lies in solving complex problems, developing scalable systems, and staying updated on the latest AI advancements. Your must-have skills include proven expertise in framing and resolving complex problems using AI models, particularly in computer vision or NLP, and GenAI deployment at scale. You possess hands-on experience with LLMs, specializing in fine-tuning, retrieval-augmented generation (RAG), and model selection. Having worked on at least two production use cases in this domain, you are adept at selecting models and approaches based on specific use cases and their solutions. You comprehend that model building is just a part of production AI work and are familiar with maintaining high-performance AI systems. With over 6 years of experience in building and maintaining large-scale production AI systems, including optimization and tuning for deployment at scale, you ensure reliability and efficiency. Your insatiable curiosity and enthusiasm for cutting-edge research drive you to apply innovative approaches to real-world problems. Proficiency in Python and its standard libraries, along with strong skills in monitoring and debugging production AI systems for sustained reliability and efficiency, are part of your expertise. You also excel in mentoring and guiding junior engineers, sharing your knowledge to enhance the team's skills. Your ability to engage with various stakeholders, including senior leadership and demanding industry customers, is commendable. Additionally, you have some familiarity with AI Ops and related tooling to streamline AI processes and cloud experience with AWS/GCP/Azure. Desirable skills include experience with other languages, familiarity with Docker and Kubernetes for efficient service deployment, and exposure to various platforms, frameworks, and tools in the AI and machine learning ecosystem. Furthermore, any publications and patents in the AI domain would be advantageous.,

About us -Coders Brain is a global leader in its services, digital and business solutions that partners with its clients to simplify, strengthen and transform their businesses. We ensure the highest levels of certainty and satisfaction through a deep-set commitment to our clients, comprehensive industry expertise and a global network of innovation and delivery centers. We achieved our success because of how successfully we integrate with our clients. Quick Implementation - We offer quick implementation for the new onboarding client. Experienced Team - We've built an elite and diverse team that brings its unique blend of talent, expertise, and experience to make you more successful, ensuring our services are uniquely customized to your specific needs. One Stop Solution - Coders Brain provides end-to-end solutions for the businesses at an affordable price with uninterrupted and effortless services. Ease of Use - All of our products are user friendly and scalable across multiple platforms. Our dedicated team at Coders Brain implements keeping the interest of enterprise and users in mind. Secure - We understand and treat your security with utmost importance. Hence we blend security and scalability in our implementation considering long term impact on business benefit. Exp- 4+ Yrs Role- AI Engineer Location- Pune Permanent-Codersbrain Technology Pvt Ltd Client:- Mobilefirst JobDescription Must Have:AI Enginner

Proficiency in C#/.NET Core , React.js , and Python . Experience with PostgreSQL and relational database design. Strong understanding of Microservice Architecture and RESTful API development. Hands-on experience with Docker and Kubernetes . Familiarity with GitHub Copilot and AI-assisted coding tools. Experience with Keras , PyTorch , and other ML frameworks. Exposure to AI/ML and Generative AI concepts. Ability to conduct ML research and implement algorithms. Skilled in statistical analysis and model fine-tuning. Knowledge of data selection and representation techniques. Experience in extending ML libraries and retraining models. Solid grasp of software engineering best practices and agile methodologies. Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or related field. Experience with cloud platforms (Azure, AWS, GCP). Contributions to open-source projects or technical blogs. Required Skills: Proficiency in C#/.NET Core , React.js , and Python . Experience with PostgreSQL and relational database design. Strong understanding of Microservice Architecture and RESTful API development. Hands-on experience with Docker and Kubernetes . Familiarity with GitHub Copilot and AI-assisted coding tools. Experience with Keras , PyTorch , and other ML frameworks. Exposure to AI/ML and Generative AI concepts. Ability to conduct ML research and implement algorithms. Skilled in statistical analysis and model fine-tuning. Knowledge of data selection and representation techniques. Experience in extending ML libraries and retraining models. Solid grasp of software engineering best practices and agile methodologies. Preferred Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or related field. Experience with cloud platforms (Azure, AWS, GCP). Contributions to open-source projects or technical blogs.

We are seeking a talented and enthusiastic AI Engineer to be a part of our team. As an AI Engineer, you will be responsible for the design, development, and deployment of AI models and algorithms to address intricate challenges and drive business value. The ideal candidate will possess a solid foundation in machine learning, deep learning, and data science, coupled with exceptional programming abilities. Your main responsibilities will include designing, developing, and implementing AI models and algorithms to solve real-world issues. You will collaborate with diverse teams to comprehend business requirements and transform them into technical solutions. Data analysis and preprocessing will be crucial to ensure high-quality input for AI models. Furthermore, you will be involved in training, testing, and validating AI models to guarantee accuracy and performance, along with deploying these models into production environments and monitoring their performance. Continuous enhancement of AI models by integrating new data and feedback will also be part of your role. It is essential to stay updated with the latest advancements in AI and machine learning technologies. Documenting AI models, processes, and outcomes for knowledge sharing and future reference will be necessary. Additionally, participation in code reviews and providing constructive feedback to peers will be expected. The ideal candidate should have prior experience as an AI Engineer, Machine Learning Engineer, or a similar role. Proficiency in machine learning algorithms, deep learning frameworks, statistical methods, and programming languages like Python, R, or Java is required. Familiarity with LLMs such as GPT-4, Llama-2, NLP, RAG, data preprocessing, feature engineering, and data visualization techniques is essential. Experience with machine learning libraries and frameworks like TensorFlow, Keras, PyTorch, Scikit-learn, vector databases such as Pinecone and ChromaDB, cloud platforms like AWS, Google Cloud, Azure, and version control systems like Git is preferred. Strong problem-solving skills, attention to detail, excellent communication, and collaboration skills are also vital. The ideal candidate should have 2-6 years of experience and a Bachelor's or Master's degree in computer science, artificial intelligence, machine learning, or a related field.,

You will be part of our expanding Technology team at ShyftLabs, where we are seeking an AI Engineer to develop and implement AI-powered applications at scale. As a pragmatic problem solver with strong backend engineering skills, you will apply AI concepts and frameworks to design, develop, and optimize solutions that address complex business challenges for our clients. ShyftLabs is a leading data and AI company specializing in data platforms, machine learning models, and AI-powered automation. We provide consulting, prototyping, solution delivery, and platform scaling services to Fortune 500 clients, helping them transform their data into actionable insights. Your responsibilities will include researching, designing, and developing AI-powered applications, integrating AI models into scalable production environments, collaborating with cross-functional teams, optimizing AI implementations for performance and cost efficiency, ensuring AI systems meet quality standards, and staying updated with the latest AI tools and frameworks for proposing innovative solutions. Documenting technical processes and implementations will also be crucial for knowledge sharing within the team. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or a related field, with a strong software engineering background and at least 3 years of experience building applications at scale. You must have proven experience in implementing and deploying AI solutions in production environments, proficiency in programming languages like Python, JavaScript, or Java, familiarity with modern AI frameworks and tools, understanding of software design patterns, API development, and system architecture, knowledge of containerization technologies and cloud platforms for AI development, strong problem-solving skills, and the ability to translate business requirements into technical solutions. At ShyftLabs, we offer a competitive salary and a comprehensive insurance package. We are committed to the growth of our employees and provide extensive learning and development resources to support their professional development.,

We are hiring experienced AI Engineers for a full-time, 6-month on-premise role in Bengaluru (Electronic City) The role involves working on AI/ML solutions with open-source LLMs such as LLaMA, DeepSeek, and Mistral Strong Python programming skills, including data structures and algorithmic problem-solving, are essential Candidates must be comfortable deploying models on-premise and solving system-level challenges in Python Fine-tuning of LLMs, performance optimization, and working in Linux environments are desirable The role is hands-on and requires excellent analytical thinking and full-time office presence

We are hiring for the position of Machine Learning Engineer and the role is based out Bangalore Shift Timings - General Shift Interested Candidates can send CV directly at Pratibha@myndsol.com Responsibilities: 1. Machine Learning Development & Deployment Design and implement supervised and unsupervised models for predictive analytics, including churn prediction, demand forecasting, renewal risk scoring, and cross-sell/upsell opportunity identification. Translate business problems into ML frameworks and production solutions that improve efficiency, revenue, or customer experience. Build, optimize, and maintain ML pipelines using tools such as MLflow, Airflow, or Kubeflow. 2. Cross-Functional ML Use Cases Partner with teams across Sales (e.g., lead scoring, next-best action), Customer Service (e.g., case deflection, sentiment analysis), Finance (e.g., revenue forecasting, fraud detection), Supply Chain (e.g., inventory optimization, ETA prediction), and Order Fulfillment (e.g., delivery risk modeling) to define impactful ML use cases. Develop domain-specific models and continuously improve them using feedback loops and real-world performance data. 3. Model Governance and MLOps Ensure robust model monitoring, versioning, and retraining strategies to keep models reliable in dynamic environments. Work closely with DevOps and Data Engineering teams to automate deployment, CI/CD workflows, and cloud-native ML infrastructure (AWS/GCP/Azure). 4. Data Engineering and Feature Architecture Collaborate with data engineers to define feature stores, data quality checks, and model-ready datasets on platforms like Snowflake or Databricks. Perform feature selection, transformation, and engineering aligned with each domains business logic. 5. Communication & Stakeholder Collaboration Present technical insights and model results to business and executive stakeholders in a clear, actionable format. Work with Product Owners and Program Managers to scope, prioritize, and plan delivery of ML projects. Qualifications: Required: 5+ years of experience in machine learning, data science, or AI engineering, with a strong software engineering foundation. Proficiency in Python, and libraries such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar. Experience deploying models into production using ML pipelines and orchestration frameworks. Strong understanding of data structures, SQL, and cloud platforms (e.g., AWS SageMaker, Azure ML, or GCP Vertex AI). Preferred: Experience supporting business functions such as Finance, Sales, or Operations with ML use cases. Familiarity with MLOps tools (MLflow, SageMaker Pipelines, Feature Store). Exposure to enterprise data platforms (e.g., Snowflake, Oracle Fusion, Salesforce). Background in statistics, forecasting, optimization, or recommendation systems

As an LLM Expert with 3+ years of experience, you should have a strong background in designing and tuning advanced models. You must have at least 3 years of experience in LLM, NLP Models, and Machine Learning, along with 2.5 years of experience in AI. Excellent communication skills are essential for this role, as well as previous experience in team handling. Professionals with backgrounds such as Datascientist, Data Annotator AI, and AI Engineer are encouraged to apply. This position is based in Bangalore and is a full-time role with a day shift schedule. The work location is in person.,

Looking for AI engineer , between 4-6 years of experience. Location is Pune (Onsite) Bengaluru (Hybrid) You can reach out to 9718077340

An artificial intelligence engineer will be expected to have a keen interest in artificial intelligence, machine learning, and staying updated with the latest developments in a rapidly changing field. His/her duties will include collecting and analyzing data sets to identify patterns and develop predictive algorithmic models. Roles and Responsibilities Design and develop AI models to meet project requirements Convert AI/ML models into APIs that other developers can use Perform statistical analysis on big data sets Manage project infrastructure and the development of AI models and projects Work with other machine learning engineers, data engineers, and AI engineers to develop machine learning models Design and develop Deep-learning / machine-learning algorithms for analyzing structured data, image, video, and text data among others Evaluate the latest research developments in machine learning and deep learning and help build capabilities in these areas Expertise in Python, Pandas, TensorFlow / Pytorch libraries like Pandas, NumPy, etc. Good with Linear Algebra, Statistics, and probability theory Experience with machine learning algorithms Proven experience in developing and deploying machine learning/ artificial intelligence algorithms into a production environment Experience in designing, developing, training, testing, and deploying deep learning models such as CNN (Convolutional Neural Networks), RNN (Recurrent Neural Networks), R-CNN (Recurrent Convolutional Neural Networks), Reinforcement Learning, LSTM, or Transfer Learning algorithms Good in Problem Solving Data Structures Comfortable with NLP Skills Required Solid understanding of common programming languages used in AI, such as Python, Java, C++, and R Advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability Experience working with large data sets and writing efficient code capable of processing large data streams at speed Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks Excellent communication skills Experience and Educational Qualification A minimum of 3 years and above experience is required Bachelor s degree in computer science, data science, software development, or another related field A master s degree would be preferred

OpsTree Solutions is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey. Designing and developing AI algorithms and models to solve specific business problems. Creating and maintaining databases for storing and processing large amounts of data. Developing and deploying machine learning and deep learning models. Implementing and integrating AI solutions with existing systems and software. Analyzing and interpreting complex data sets to extract insights and drive decision - making. Collaborating with cross - functional teams to develop and deploy AI applications. Ensuring the security and privacy of data used in AI applications. Communicating and presenting technical information to non - technical stakeholders. Excellent communication skills & attention to detail.

Job Description Design and develop machine learning models tailored to mechanical engineering challenges, including predictive modelling, simulation optimisation, and failure analysis. Utilise deep learning and other advanced ML techniques to improve the accuracy and efficiency of CAE simulations. Preprocess and analyse large datasets from CAE simulations, experimental tests, and manufacturing processes for modelling. Train, validate, and fine-tune machine learning models using real-world engineering data. Optimise models for performance, scalability, and robustness in production environments. Collaborate with CAE engineers to integrate ML models into existing simulation workflows (e.g., FEA, CFD, structural analysis). Automate repetitive simulation tasks and enable predictive analytics for design optimisation. Work closely with mechanical engineers, data scientists, and software developers to identify business challenges and develop data-driven solutions. Deploy machine learning models into production environments and monitor their performance. Maintain and update models to ensure reliability and continuous improvement. Stay abreast of the latest advancements in machine learning, AI, and CAE technologies. Apply innovative approaches to solve complex engineering problems. Requirements Bachelors or Master’s degree in Mechanical Engineering, Computer Science, or a related field Proven 2-3 years of experience in developing and deploying machine learning models, preferably in mechanical engineering or CAE domain Hands-on experience with CAE tools such as ANSYS, Abaqus, or similar FEA/CFD software Strong programming skills in Python, R, or Java Proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and statistical analysis Solid understanding of mathematics, statistics, and problem-solving skills Excellent analytical thinking and ability to tackle complex engineering challenges Strong communication and teamwork skills to collaborate across disciplines Preferred: Experience with physics-informed machine learning and digital twin technologies Preferred: Familiarity with automation of CAE workflows and predictive modelling for product design Benefits Challenging job and a chance to team up with a young and dynamic professional group Chance to build yourself as WE grow. Remuneration that stays competitive and attractive to retain the best. Opportunity to join an organization experiencing year on year growth.

Hi all , we are looking for a role AI Engineer experience : 3 - 6 years notice period : Immediate - 15 days location : Bengaluru Generative AI Engineer Position Overview: We are looking for a Generative AI Engineer with expertise in Azure OpenAI and hands-on experience with models such as GPT-4o, GPT-o1, and open source LLMs like Llama, mistral. You will work on GenAI solutions development, RAG, fine-tuning, and deploying resources in Azure environment. Proficiency in prompt engineering, Python, PostgreSQL, FastAPI, Streamlit, Django and Angular is essential. This role also requires strong skills in AI models orchestration using intent mapping, Semantic Kernel or function calling, along with proficiency in presentation and public speaking. Key Responsibilities: • RAG, fine-tune, and deploy Azure OpenAI models (e.g., GPT-4o, GPT-o1) and other open-source large language models (LLMs). • Build AI-powered applications using frameworks such as FastAPI, Streamlit, Django, and Angular. • Design and execute AI workflows using tools like prompt flow, Semantic Kernel and implement function calling for complex use cases. • Conduct prompt engineering to improve model performance for specific business cases. • Visualize data and create user interaction insights using Power BI. • Ensure smooth deployment and maintenance of models on Azure cloud infrastructure, including scalability and optimization. • Prepare and deliver presentations, demos, and technical documentation to internal and external stakeholders. • Stay updated with advancements in generative AI, NLP, and machine learning to continuously improve models and methodologies. Required Skills & Qualifications: • Bachelors degree in Computer science, Artificial intelligence, Machine learning, or related field. • At least 2+ year of hands-on experience working on generative AI projects. • Strong expertise in Azure OpenAI models (GPT-4o, GPT-3.5, GPT-o1 etc.). • Proficient in Prompt Engineering, Python, Streamlit, Django, FastAPI, and Angular. • Basics of html, css, javascript, typescript and angular. • Basic understanding of neural networks, machine and transformer architectures. • Experience in retrieval-augmented generation (RAG) and fine-tuning Large language models. • Familiarity with AI model orchestration tools such as Semantic Kernel, intent mapping and function calling techniques. • Excellent public speaking and presentation skills to convey technical concepts to business stakeholders. • Azure Certified AZ900 or AI900 Preferred Qualifications: • Masters degree in Artificial Intelligence, Machine Learning, or related field. • At least 3+ years of experience working on generative AI, NLP, and machine learning projects. • Strong understanding of neural networks, machine learning and transformer architectures. • Implemented GenAI solutions in production. • Familiarity with Automotive Industry • Hands on experience in RAG, RAFT and optimized fine-tuning. • Azure Certified AI-102, DP-100, AZ-204 or DP-203

Hiring an AI Engineer - Join an AI SaaS Startup About the organization: We're revolutionizing the hiring process with AI-powered voice and avatar technology . The platform acts as a 24/7 AI Hiring Agent , automating everything from screening to interviews and decision-making. Location: Bangalore ( Remote for now) About This Role You'll play a key role in building AI capabilities into our core platform, from interviews to decision-making. This role requires product thinking, fast execution, and a passion for real-world AI applications. You'll work directly with the founding team in a fast-moving, high-trust environment . Roles & Responsibilities Build and optimize AI systems using LLMs, NLP, and GenAI APIs Design and deploy ML-powered features within our product suite Collaborate with Product and Engineering to ship real-world AI features Own model training, fine-tuning, and inference pipelines Integrate voice (TTS/ASR) and avatar technologies into the platform Work in an agile, startup-style environment with quick iterations Ensure high-quality, scalable ML components in production Drive innovation and constantly explore new AI capabilities What Were Looking For 2-3 years of hands-on experience in LLMs, NLP, or Machine Learning Strong product-building mindset B.Tech graduate Experience in early-stage product startups. Good coding skills in Python and familiarity with ML frameworks Experience integrating with GenAI APIs (OpenAI, Claude, etc.) Strong fundamentals in data structures, algorithms, and system design

We are looking for a skilled Python Developer with a strong background in web application development using frameworks like Django, Flask, and FastAPI. The ideal candidate should also possess hands-on experience in building Generative AI (GenAI) applications leveraging modern AI/ML libraries and frameworks such as LangGraph, LangChain, and LLMs, and integrating them with vector databases like Pinecone or PGVector. Key Responsibilities Web Development: Design, develop, and maintain scalable RESTful APIs using Django, Flask, or FastAPI. Build and deploy modern web applications that are performant, modular, and secure. Implement API authentication and authorization using OAuth2, JWT, or session-based approaches. Work with frontend teams to integrate APIs and ensure smooth end-to-end flows. Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker. GenAI Application Development: Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows. Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector etc Database and Backend Integration: Work with relational databases like PostgreSQL and MySQL. Write efficient and scalable queries for large-scale datasets. Experience with AWS/GCP/Azure is a plus. Required Skills Minimum of 3 years of experience application development using Python/django Proficient in developing and consuming RESTful API Experience with LangGraph, LangChain, and GenAI tools/workflows Experience with LLMs (OpenAI GPT-4, Claude, Llama, etc.) Good understanding of software design principles, code modularity, and version control (Git)

Dear All, Greetings from Teamware Solution!! We are seeking a candidate of AI/ML Engineer for our Captial Market client at Bangalore and Mumbai location. Exp range : 5 to 10years Work Location : Bangalore and Mumbai Notice Period : Currently serving notice period candidates only max of 30days Eligible Candidate: Seeking a candidate from Bangalore and Mumbai only Required Skills Strong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api. • Broad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security. • Experience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift. • Experience with designing, developing, and managing RESTful services for large-scale enterprise solutions. • Hands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python. • Practitioner of unit testing, performance testing and BDD/acceptance testing. • Understanding of OAuth 2.0 protocol for secure authorization. • Proficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex. • Demonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps. • Ability to articulate technical concepts effectively to diverse audiences. • Strong desire and ability to influence development teams and help them adopt AI. • Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations • Understanding of deep learning , understanding of Machine Learning frameworks such as TensorFlow or PyTorch. • Understanding of Information Security, Secure coding practices. • Experience in building cloud and container native applications. • Knowledge of DevOps and Agile practices. • Excellent communication skills. Please go through the above details, and Interested candidates please share your cv to thilagam.v@twsol.com with below details Exp in AI engineer: CTC : ECTC : Notice period ( currently serving or not) : if yes , please mention your LWD : For the shortlisted candidates , will reach out immediately. Regards, Thilaga

Aziro is hiring AI Engineers to join immediately. Exp - 6+ yrs Location - Chennai, Pune, Noida, Bangalore One level will be FTF interview (either L1 or L2) Should have hand- on experience in AI esp. with Gen AI Aziro is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. Were looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference. Objectives of this role Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy Understand company and client challenges and how integrating AI capabilities can help lead to solutions Lead cross-functional teams in identifying and prioritizing key areas of a partners business where AI solutions can drive significant business benefit Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards Roles and Responsibilities Collaborate with cross-functional teams to integrate AI models into existing systems. Design, develop, and deploy AI solutions using AIMl, AI Solutions, and AI Techniques. Develop and maintain complex AI algorithms for data analysis and prediction. Ensure high-quality delivery of projects by adhering to project timelines and requirements. Provide technical guidance on AI best practices to junior team members. Desired Candidate Profile 6-11 years of experience in developing AI applications using various tools such as AIML, AI Solutions, etc. . Strong understanding of AI algorithms, techniques, and frameworks (e.g., deep learning). Proficiency in programming languages like Python or Java; knowledge of SQL is an added advantage.

Optum AI is UnitedHealth Groups enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone. Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development. Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the worlds top universities. OptumAI is looking for a Senior Machine Learning Engineer with deep subject matter expertise in text processing, NLU and SLU (Natural language understanding and Spoken Language Understanding) who will be part of a team leading the technical development and inventions that allow Optum machine learning products drive positive impact in the healthcare business. Your expertise will bring business and industry context to science and technology decisions. As part of the OptumAI AI/ML engineering group, you set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your code, designs and documents are exemplary and are used as references across the organization. A successful candidate is a hands-on AI/ML engineering expert that will tackle intrinsically hard problems, acquiring expertise as needed. The candidate will help decompose complex problems into straightforward solutions. Primary Responsibilities: Help design and develop the next generation of NLP, ML & AI products, and services for healthcare Develop machine learning and deep learning models and systems in domains including, but not limited to: NLP, NLU, NLG, SLU and multidimensional time series forecasting among others Exposure in RAG, LangChain, VectorDBs Ability to Quantize, Optimize GenAI models Manage NLP & ML models lifecycle for a suite of products Run large complex proof-of-concepts for the healthcare business Manage prioritization and technology work for building NLP, ML & AI solutions Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome Work with a great deal of autonomy to find solutions to complex problems Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Graduate degree in applicable area of expertise or equivalent experience Experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully Skill Set; NLP, NLU, NLI Architecture: Transformers, Attention Models: GPT, Llama, Mistral Model Quantization Model Optimization Retrieval & Ranking, RAG, RAGAS Statistics, Machine Learning Models, Model Deployment Proven excellent communication, writing and presentation skills Experience in the health care industry Preferred Qualification: Experience in the health care industry

Job Description Design and develop machine learning models tailored to mechanical engineering challenges, including predictive modelling, simulation optimisation, and failure analysis. Utilise deep learning and other advanced ML techniques to improve the accuracy and efficiency of CAE simulations. Preprocess and analyse large datasets from CAE simulations, experimental tests, and manufacturing processes for modelling. Train, validate, and fine-tune machine learning models using real-world engineering data. Optimise models for performance, scalability, and robustness in production environments. Collaborate with CAE engineers to integrate ML models into existing simulation workflows (e.g., FEA, CFD, structural analysis). Automate repetitive simulation tasks and enable predictive analytics for design optimisation. Work closely with mechanical engineers, data scientists, and software developers to identify business challenges and develop data-driven solutions. Deploy machine learning models into production environments and monitor their performance. Maintain and update models to ensure reliability and continuous improvement. Stay abreast of the latest advancements in machine learning, AI, and CAE technologies. Apply innovative approaches to solve complex engineering problems. Requirements Bachelors or Master’s degree in Mechanical Engineering, Computer Science, or a related field Proven 2-3 years of experience in developing and deploying machine learning models, preferably in mechanical engineering or CAE domain Hands-on experience with CAE tools such as ANSYS, Abaqus, or similar FEA/CFD software Strong programming skills in Python, R, or Java Proficiency in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) Experience with data preprocessing, feature engineering, and statistical analysis Solid understanding of mathematics, statistics, and problem-solving skills Excellent analytical thinking and ability to tackle complex engineering challenges Strong communication and teamwork skills to collaborate across disciplines Preferred: Experience with physics-informed machine learning and digital twin technologies Preferred: Familiarity with automation of CAE workflows and predictive modelling for product design Benefits Challenging job and a chance to team up with a young and dynamic professional group Chance to build yourself as WE grow. Remuneration that stays competitive and attractive to retain the best. Opportunity to join an organization experiencing year on year growth.

Job Description: We are seeking a highly skilled and passionate AI/ML Engineer with strong expertise in Generative AI and Large Language Models (LLMs) . The ideal candidate will have hands-on experience in building, fine-tuning, and deploying agentic AI systems using modern GenAI frameworks. You will work on cutting-edge projects involving prompt engineering , RAG pipelines , and memory architectures such as vector databases. Responsibilities: Design and implement AI/ML solutions using modern LLM architectures and agentic AI concepts . Build and optimize intelligent agents using frameworks such as LangChain, AutoGen, CrewAI , or Semantic Kernel . Develop and fine-tune generative AI models with Transformers , HuggingFace , OpenAI API , etc. Implement and enhance Retrieval-Augmented Generation (RAG) pipelines and memory systems like vector databases (e.g., FAISS, Pinecone). Write high-performance Python code to support experimentation, model integration, and API interactions. Collaborate cross-functionally with product, design, and engineering teams in an agile development environment. Deploy AI solutions on cloud platforms (AWS, Azure, or GCP) with a focus on scalability and performance. Stay updated with the latest advancements in the AI/ML/GenAI space. Required Experience: 3 to 8 years of experience in AI/ML , with at least 1 year in Generative AI / LLM-based projects . Proven expertise in Python programming and related libraries for ML/GenAI. Hands-on experience with one or more GenAI frameworks (LangChain, AutoGen, etc.). Solid understanding of prompt engineering , RAG , vector DBs , and agent-based systems . Cloud deployment experience (AWS, Azure, or GCP) is a must. Strong analytical and problem-solving skills.

Use cases using LLM models and in-production Current LLM challenges and options to discuss Bring in a new use case approach using LLM models Dev methodology in AI use cases Cost optimization using various models Routing scenarios in using models

Job role & responsibilities:- Collaborate with different teams to propose AI solutions on different use cases across the insurance value chain, with a focus on AIops and MLOps Research, build, and deploy AI models as part of the broader AI team, leveraging AIops and MLOps practices for efficient model management Contribute to our DevOps practices using OpenShift or Azure ML DevOps Technical Skills, Experience & Qualification required:- Expertise is required in the following fields: 6-9 years of progressive experience in AI and ML, with a focus on AIops and MLOps Experience in ML Flow or Cube Flow or Airflow, ML Ops, more in to production deployment Experience in deploying and managing AI models in production environments using Azure ML DevOps or OpenShift Implementation of at least 5 AI projects, preferably with experience in AIops and MLOps Experience with Azure, OpenShift, MLFlow DevOps for model deployment, monitoring, and management Setting up CI/CD pipelines using Azure DevOps, Jenkins, etc. Hands-on experience with Generative AI tech LLMs, RAG, Prompt Engineering Broad understanding of machine learning algorithms and techniques, including LLMs/SLMs, CNNs) RNNs, transformers, and attention mechanisms Immediate Joiners will be preferred

Design, develop, and implement Graph RAG models to enhance data relationships and knowledge retrieval. Build, train, and fine-tune LLMs to work with Microsoft Co-pilot and Open Azure AI. Utilize the Azure Samples Graph RAG Accelerator to accelerate Required Candidate profile exp in developing and deploying AI models, specifically Graph RAG and LLMs. exp with Microsoft Azure, including Azure AI and related services. Azure Samples Graph RAG Accelerator is highly

Position: Lead Data Scientist (Agentic Ai) Location: Chennai Reporting to: Associate Director Job Summary: As a Technical Lead for Agentic AI Workflow Development, you will be responsible for designing, developing, and implementing advanced AI-driven workflows. You will lead a team of developers and collaborate with cross-functional teams to deliver high-quality solutions that meet business needs. Job Description: - Lead the end-to-end development of Agentic AI workflows, including Autogen, Llama, and Langgraph integration. - Design and implement solutions using large language models (LLMs) such as ChatGPT, Gemini, and Llama. - Develop and maintain scalable architectures on hyperscaler platforms (Azure, AWS, Google Cloud). - Utilize Python for backend development and automation tasks. - Ensure effective database management with a strong understanding of both SQL and NoSQL databases. - Troubleshoot and resolve technical issues in a timely manner. - Oversee the orchestration of jobs, including queuing and load balancing for optimal performance. - Collaborate with stakeholders to identify and implement real-world use cases, focusing on document-related solutions and agent interactions. - Mentor and guide junior developers, fostering a culture of continuous learning and improvement. Profile Description: - Bachelor’s degree in Computer Science, Engineering, or a related field; Master’s degree preferred. - Proven experience as a Technical Lead or similar role in AI/ML development. - Strong proficiency in Python and experience with relevant libraries and frameworks. - In-depth knowledge of large language models (LLMs) and their applications. - Experience with hyperscaler architectures (Azure, AWS, Google Cloud). - Solid understanding of SQL and NoSQL databases, with hands-on experience in database design and management. - Excellent troubleshooting skills and the ability to solve complex technical problems. - Demonstrated experience in developing and deploying at least three real-world use cases involving document processing, auto agents, and orchestration. - Strong communication and leadership skills, with the ability to work collaboratively in a team environment. - Familiarity with AI frameworks and tools related to workflow automation. - Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). - Knowledge of CI/CD practices and tools.

Flam is looking for AI Engineer to join our dynamic team and embark on a rewarding career journey. Designing and developing AI algorithms and models to solve specific business problems. Creating and maintaining databases for storing and processing large amounts of data. Developing and deploying machine learning and deep learning models. Implementing and integrating AI solutions with existing systems and software. Analyzing and interpreting complex data sets to extract insights and drive decision-making. Collaborating with cross-functional teams to develop and deploy AI applications. Ensuring the security and privacy of data used in AI applications. Communicating and presenting technical information to non-technical stakeholders. Excellent communication skills & attention to detail.