1197 Aiml Jobs - Page 27

We Advantum Health Pvt. Ltd - US Healthcare MNC looking for Senior AI/ML Engineer. We Advantum Health Private Limited is a leading RCM and Medical Coding company, operating since 2013. Our Head Office is located in Hyderabad, with branch operations in Chennai and Noida. We are proud to be a Great Place to Work certified organization and a recipient of the Telangana Best Employer Award. Our office spans 35,000 sq. ft. in Cyber Gateway, Hitech City, Hyderabad Job Title: Senior AI/ML Engineer Location: Hitech City, Hyderabad, India Work from office Ph: 9177078628, 7382307530, 9059683624 Address: Advantum Health Private Limited, Cyber gateway, Block C, 4th floor Hitech City, Hyderabad. Location: https://www.google.com/maps/place/Advantum+Health+India/@17.4469674,78.3747158,289m/data=!3m2!1e3!5s0x3bcb93e01f1bbe71:0x694a7f60f2062a1!4m6!3m5!1s0x3bcb930059ea66d1:0x5f2dcd85862cf8be!8m2!3d17.4467126!4d78.3767566!16s%2Fg%2F11whflplxg?entry=ttu&g_ep=EgoyMDI1MDMxNi4wIKXMDSoASAFQAw%3D%3D Job Summary: We are seeking an experienced Sr. AI/ML Engineer to join our team and drive the development and deployment of advanced machine learning models. The ideal candidate will have a deep understanding of AI/ML concepts, strong programming skills, and experience working with large datasets in a production environment. This role requires the ability to design, implement, and scale AI solutions that solve complex business problems. Key Responsibilities: Design, develop, and deploy scalable machine learning models and algorithms. Collaborate with data scientists, engineers, and product teams to integrate AI solutions into products. Conduct experiments and analyze results to improve model performance and reliability. Work with large-scale datasets and develop data pipelines for training and inference. Stay up-to-date with the latest developments in AI/ML research and technologies. Mentor junior engineers and contribute to technical leadership within the team. Required Skills and Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 5+ years of experience in machine learning, artificial intelligence, or related field. Proficiency in programming languages such as Python, Java, or C++. Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of data structures, algorithms, and software engineering best practices. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Excellent problem-solving skills and the ability to work independently and in a team. Follow us on LinkedIn, Facebook, Instagram, Youtube and Threads for all updates: Advantum Health Linkedin Page: https://www.linkedin.com/showcase/advantum-health-india/ Advantum Health Facebook Page: https://www.facebook.com/profile.php?id=61564435551477 Advantum Health Instagram Page: https://www.instagram.com/reel/DCXISlIO2os/?igsh=dHd3czVtc3Fyb2hk Advantum Health India Youtube link: https://youtube.com/@advantumhealthindia-rcmandcodi?si=265M1T2IF0gF-oF1 Advantum Health Threads link: https://www.threads.net/@advantum.health.india HR Dept, Advantum Health Pvt Ltd Cybergateway, Block C, Hitech City, Hyderabad Ph: 9177078628, 7382307530, 9059683624

Job Overview: We are looking for dynamic and passionate fresher trainers who are eager to make an impact through teaching. If you have excellent communication skills, prior experience in workshops, tutoring, or student mentoring, and a strong foundation in any one technology (e.g., Python, Java, Web Dev, AI/ML, Cloud, Data Science, etc.), we invite you to join our vibrant training team. This role also offers exciting opportunities to upskill and teach new technologies with full support. Key Responsibilities: Conduct training sessions, workshops, and mentoring programs for students or professionals. Deliver engaging and interactive classes both online and offline. Collaborate with senior trainers and curriculum developers to enhance content delivery. Continuously learn new technologies as per industry demand and be ready to teach them. Track student performance and provide feedback for improvement. Support in developing training materials, assignments, quizzes, and project-based learning. Maintain a positive and motivating learning environment. Required Skills & Attributes: Excellent communication and soft skills (verbal and written). A passion for teaching and mentoring students. Prior experience in conducting sessions/workshops/tutoring (college-level, internships, volunteering, etc.). Strong knowledge in at least one of the following: Programming & DSA (Python, Java, C/C++) Web Development (HTML, CSS, JS, React, etc.) Data Science / AI / ML Cloud Computing / AWS / DevOps Cybersecurity / Ethical Hacking Quick learner with a growth mindset. Open to learning new technologies and tools as required. Ability to simplify complex topics for beginner learners. Preferred Qualifications: Masters/ bachelor's degree in engineering, Computer Science, IT, or a related field. Exposure to public speaking, volunteering as a teaching assistant, or leading student communities is a plus. Certifications (if any) are a bonus but not mandatory. What We Offer: Structured training and mentorship to grow as a professional trainer. Opportunity to work on live projects, bootcamps, and industrial workshops. Continuous learning environment with access to latest tools and content. A collaborative and supportive work culture. Rapid career growth for top performers. If you're passionate about teaching, eager to learn, and want to make a real impact apply now! - radha.c@fixityedx.com

We're hiring for the role of Python Developer Job Title Python Developer AI/ML Focus Experience Required: 7+years Location Hyderabad and Bangalore Department: Engineering / AI & Data Science Job Summary: We are seeking a skilled Python Developer with a strong foundation in Artificial Intelligence and Machine Learning. You will work closely with data scientists, ML engineers, and product teams to build robust and scalable AI-driven applications and APIs. Key Responsibilities Develop and maintain Python-based applications for AI/ML workflows Build APIs and data pipelines to support ML models in production Collaborate with data scientists to integrate and optimize models Write unit and integration tests to ensure software quality Optimize performance of Python code and backend systems Deploy AI solutions using cloud platforms (e.g., AWS, GCP, Azure) Maintain documentation and adhere to best coding practices Required Skills & Experience Strong proficiency in Python 3.x and core libraries (NumPy, Pandas, etc.) Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn Good knowledge of REST APIs, Flask/FastAPI, and microservices Hands-on experience with data preprocessing, model training, and evaluation Exposure to Docker, Kubernetes, or CI/CD tools Experience working with SQL/NoSQL databases Preferred Qualifications Familiarity with LangChain, Hugging Face, or other LLM tooling Knowledge of data lake architectures or streaming platforms (Kafka, Spark) Experience deploying models using SageMaker, Vertex AI, or similar platforms Previous experience with AI product development or chatbots/NLP Understanding of MLOps practices Education Bachelors or Masters degree in Computer Science, Engineering, Data Science, or related field. Note: We're looking for Core Python Developer who have an experience in AI/ML experience not a data scientist profile. Interested Can also share their CV at akanksha.s@esolglobal.com

Responsibilities: * Design, develop & implement AI solutions using ML algorithms & NLP techniques. * Optimize performance through continuous learning & improvement. Annual bonus

About the company: ARAs client TechGlobal (pseudonym) is a global leader in strategy, technology consulting and digital services, enabling clients in more than 100+ countries to implement cutting edge solutions in their transformation journey. TechGlobal helps businesses become digital-first and digital-ready. The company has a global presence with 600000+ employees ( 200000+ in India). India is a focus for them with their Development Centres presence in over 10 locations across Tier 1 and Tier 2 cities. They are recognised for their people first and employee oriented policies. Along with offering hybrid work options, a Pan India presence gives flexible location options to employees. About the role: As an AI / ML Engineer, you will be responsible for developing applications and systems that utilize AI tools, cloud-based AI services, and on-premise or cloud-native application pipelines. The ideal candidate will have a strong foundation in deploying production-ready AI solutions and integrating Generative AI (GenAI) models into business applications. Key Responsibilities: Serve as a Subject Matter Expert (SME) in AI/ML technologies. Lead, mentor, and collaborate with team members to ensure successful project delivery. Make key technical and strategic decisions across multiple teams. Design, build, and deploy scalable AI/ML solutions in production environments. Integrate large language models (LLMs) and generative AI solutions into enterprise systems. Engage in regular cross-functional collaboration to align AI/ML solutions with business goals. Conduct training sessions and facilitate knowledge sharing within the team. Ensure timely project execution in alignment with organizational strategy. Must-Have Skills: Expertise in Large Language Models (LLMs) and their practical applications. Deep knowledge of deep learning frameworks such as TensorFlow and PyTorch. Proven experience deploying AI models on cloud platforms such as AWS, Azure, or Google Cloud. Strong grasp of natural language processing (NLP) techniques and tools. Ability to develop production-grade, scalable AI solutions. Good-to-Have Skills: Experience with tools like Hugging Face Transformers or LangChain. Exposure to MLOps pipelines and containerization (Docker/Kubernetes). Familiarity with RESTful APIs, version control (Git), and CI/CD pipelines. Experience and Qualifications Candidates must have a minimum of 7.5 years of experience in AI/ML roles, with a strong focus on Large Language Models. A 15-year full-time education background is mandatory

Responsibilities: * Develop AI/ML models using Python frameworks * Optimize model performance through deep learning techniques * Collaborate with cross-functional teams on backend development

Role & responsibilities 7+ years of relevant experience in analytics/consulting/informatics and statistics Key Skills - Data and Business Analytics, Advanced Statistics and Predictive Modelling, Stakeholder Management, Project Management Experience in customer segmentation analytics, campaign analytics, etc. is a plus. Exposure to predictive analytics, ML/ AI techniques is an added advantage. Education MBA/Masters in Information Systems, Computer Science, or a quantitative discipline such as mathematics, engineering from tier 1/2 institutes Tools - SQL, Python, Databricks, Data Visualization, PowerBI Good to have Azure Analysis services, DS/ML experience

Skills Required: Strong technical foundation and proven hands-on experience in both AI/ML and IoT concepts and technologies. Ability to guide students in building integrated AIoT projects . Must be able to confidently explain and simplify complex AI, ML, and IoT concepts, including their interdependencies and applications, for diverse age groups and academic levels. Excellent communication skills in English and Hindi (both verbal and written). Strong planning and time management abilities. Strong public speaking and presentation skills. Comfortable handling large groups and tailoring delivery methods to suit different institutions. Excellent stakeholder management handling clients, academic institutions, and internal teams. Willingness to take up training responsibilities as required. Role & responsibilities Lead Training Sessions: Conduct engaging and high-impact AIML and IoT lead trainings across colleges, schools, and premier institutions PAN India. Mentorship & Team Training: Train, guide, and mentor junior trainers from PHN Technology, ensuring content and delivery consistency in AI/ML and IoT. Content Development: Develop and continuously update training materials, live projects, and demos, focusing on real-world AI IoT use cases and practical implementations. Travel Readiness: Willingness and ability to travel extensively across India for conducting workshops and sessions as per schedule. Preferred candidate profile We are looking for a passionate and technically sound professional with a strong foundation in AI/ML, IoT , IoT based Cloud platforms , AIOT. The ideal candidate should have a minimum of 5+ years of relevant experience in teaching, corporate training, or industry roles. A strong command over communication (both verbal and written) in English and Hindi is essential, along with the ability to clearly explain and simplify complex concepts to learners across diverse age groups and academic levels. Candidates should possess excellent public speaking and presentation skills , and be comfortable delivering sessions to large groups while tailoring the content as per institutional needs

Job Title / Primary Skill: AiML Architect Management Level: G150 Years of Experience: 8 to 14 years Job Location: Bangalore/Kochi (Hybrid) Must Have Skills: AiMl, NLP, Machine Learning, Deep learning, Python Educational Qualification: BE/BTech/ MTech/ MCA (Minimum bachelors degree) Job Description Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Assists with the ongoing development and implementation of an enterprise architecture. May devise and present business cases and program release plans to senior management with priority recommendations to maintain and evolve this architecture. Builds effective business relationships with business line managers and provides technical and system expertise as input to product concepts. May assist product development management to define IT strategic direction and assists in the mapping of projects to that strategic direction whilst ensuring product capabilities and process improvements are delivered over time within the framework of the IQVIA enterprise architecture. Participates in cross-functional product development teams, may also act as a consultant to provide system and technical advice. Keeps up to date with technology changes and identifies opportunities for implementation in future systems. Participates in R&D projects and may run those projects in compliance with standard project management practices. May mentor and assist lower-level architects and business analysts. Qualifications 8+ years of experience in engineering roles with team management experience 5-7 relevant years experience on NLP, Machine Learning and Deep learning 5-7 relevant years of experience on Python Extensively work on NLP applications, ability to work on Machine learning model, Deep learning development Knowledge of LLMs, fine tuning and deployment Experience annotated datasets for Supervised Learning methods and correction. Experience on text to transform natural language into useful features. Find and implement the right algorithms and tools for NLP tasks. Perform statistical analysis of results and refine models. Extend ML libraries and frameworks to apply in NLP tasks. Experience on ORM, SQL Alchemy, Alembic is a must. Experience on Writing on effective and scalable code Experience on Unit Testing using Pytest or equivalent framework. A deep understanding and multi-process architecture and the threading limitations of Python. Familiarity with server-side templating languages including Jinja 2 and Mako is good to have. Experience on REST API, Flask API, Fast API is must, Django or Pyramid framework is good to have. Knowledge of NER, Knowledge graphs is good to have. Education Qualification Master's Degree masters degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field

Mandatory skill :- ML model design, Python, anomaly detection, exp with time series or classification. Cyber Security domain exp is mandatory. statistical techniques and concepts (regression, properties of distributions, statistical tests Required Candidate profile Should be proficient in TensorFlow, PyTorch, Keras and Natural Language Processing (NLP) is essential. share the profile at jayalakshmi@aeliuscityhr.com

Role & responsibilities: Strong interest and experience in development platforms, AI/ML, CI/CD, infrastructure or making products for technical teams Experience with system, API, infrastructure design using cloud concepts such as storage volumes, private networks, load balancers, virtual machines Experience in a fast-paced, high growth tech environment building and scaling internal platforms using Javascript, Typescript, or Go Experience shipping products at scale and on-time, with a focus on the customer

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Strong knowledge in Python ML, AI ML, LLM(Large Lang Model),Gen AI Technical and Professional : Strong knowledge in Python ML, AI ML, LLM(Large Lang Model),Gen AI Preferred Skills: Technology-Data Science-Machine Learning Technology-Machine Learning-Generative AI

At MAXIMUS, we are growing our Digital Solutions team to better serve our organization and our clients in the government, health, and human services space. We believe that great outcomes define our success. We like to turn bold ideas into delightful solutions. We use methodology grounded in design thinking, lean, and agile to help solve complicated problems in a cost effective, rapid and precise manner. As a part of our India based AI organization, this position is responsible in design, development, implementation, and maintenance of AWS Textract-based solutions. The candidate will have following experience: 4+ years of experience in Python development. Proven experience with Amazon Textract, including hands-on experience in integrating and optimizing Textract-based solutions. Strong knowledge of AWS services, including S3, Lambda, IAM, and DynamoDB. Experience with RESTful APIs and microservices architecture. Familiarity with document processing and OCR technologies. Solid understanding of software development best practices, including version control, testing, and code review processes. Strong problem-solving skills and attention to detail. Experience with other AWS AI/ML services like SageMaker, Rekognition, Comprehend, Bedrock. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Understanding of data privacy and security best practices. Experience with Agile/Scrum methodologies. Excellent communication and collaboration skills. Roles and Responsibilities Ideal candidate will demonstrate: Good mix of hands-on experience in above areas. Strong analytical skills and experience working with business stakeholders to analyze business requirements. Ability to quickly pickup new technology and present value proposition. Excellent communication and technical presentation skills. Essential Duties and Responsibilities: Develop and maintain Python-based applications and scripts that utilize Amazon Textract for document data extraction. Integrate Textract with other AWS services such as S3, Lambda, and DynamoDB. Optimize and scale Textract processing workflows to handle large volumes of documents efficiently. Collaborate with data engineers and product managers to refine document processing solutions. Implement error handling and monitoring to ensure the reliability of data extraction processes. Write and maintain comprehensive documentation for the developed solutions. Stay updated on the latest features and best practices related to Amazon Textract and other AWS technologies. Collaborate with business analysts, stakeholders, and other team members to gather requirements, define project scope, and ensure alignment with business objectives. Work closely with QA teams to ensure thorough testing and validation of Appian applications. Ensure production issues are resolved in a timely manner. Work closely with Maximus Onsite Architects, Delivery Leads for solutioning of new projects and creating work estimates.

experience in Designing and architecting solutions with artifacts and technical documents using LLM, Generative AI, RAG, and Agentic AI applications Strong understanding of LLM, Generative AI, RAG, and Agentic AI app. Exp working with large datasets Required Candidate profile Working with data scientists, engineers, and other stakeholders to understand and implement ml algorithms such as regression, classification, and clustering. Leading teams on the latest AI tools .

ML Engineer is responsible to discover the information hidden in vast amounts of data and help us make smarter decisions to deliver better products. Your primary focus will be in applying machine learning techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. Job Responsibilities: Building models using best in class ML technology including LLMs. Training/fine tuning models with new/modified training dataset. Selecting features, building, and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analysis Enhancing data collection procedures to include information that is relevant for building analytic systems Technical skills Mandatory 5 to 10 years of experience as Machine Learning Engineer with strong Python skill. Graduate in Engineering, Technology along with good business skills Good scripting and programming skills in Python Excellent understanding of machine learning techniques and algorithms including knowledge about LLM like GPT, Llama, Claude, or Anthropic models etc. Experience with NLP. Knowledge about applied statistics skills, such as distributions, statistical testing, regression, etc. Basic understanding of NoSQL databases, such as MongoDB, Cassandra. Nice to have Exposure to financial research domain Experience with JIRA, Confluence Understanding of scrum and Agile methodologies Experience with data visualization tools, such as Grafana, power BI, GGplot, etc. Soft skills Oral and written communication skills Good problem solving and negotiation skills Passion, curiosity and attention to detail

About Us: We are an innovative and fast-growing company focused on leveraging cutting-edge technology to explore new opportunities in various industries. Our focus is on applying artificial intelligence (AI) and large language models (LLMs) to solve real-world business challenges. Job Description: We are seeking motivated and independent AI & LLM interns to help explore and develop AI-driven solutions. This internship offers the chance to work on AI projects that involve natural language processing (NLP), machine learning, and large language models, providing real-world applications for these technologies. Key Responsibilities: Independently explore and experiment with LLM models to identify potential applications and opportunities. Develop and fine-tune AI models using transformer architectures (e.g., GPT, BERT, etc.). Conduct research on emerging AI and NLP trends to identify new areas for growth. Analyze and interpret data sets to train AI models. Work on building prototype AI solutions for potential business applications. Document findings, processes, and recommendations for future projects. Creating AI agents using available tools in market including ChatGPT & Claude Qualifications: Currently pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Strong understanding of machine learning algorithms, natural language processing, and deep learning models. Experience with Python and relevant libraries (e.g., TensorFlow, PyTorch, Hugging Face). Familiarity with transformer models and their applications. Strong analytical and problem-solving skills. Ability to work independently and manage tasks with minimal supervision. Eagerness to learn and stay updated with emerging AI trends. What We Offer: Hands-on experience working with real-world AI/LLM applications. Opportunities to contribute to innovative AI projects.

Were Hiring | Data Science Manager Location: Bangalore Experience: 813 Years Must-Have Skills: • Proven experience as a Data Scientist • Strong Python coding skills • Hands-on with libraries: NumPy, Pandas, Scikit-learn, etc. • Exposure to LLMs & Generative AI • Experience in Project & Team Management

Role & responsibilities we are looking for profiles who can flex across both Data Engineering and Data Science workstreams based on project needs. We understand candidates may lean more toward one area, but a balanced mix is important. Ideally, we are looking for a 60:40 mix, with stronger capabilities on the Data Engineering side, along with working knowledge of Machine Learning and Data Science conceptsespecially those who can pick up tasks in Agentic AI, OpenAI, and related areas as required in the future.

Greetings from Getronics! Solid experience designing, building, and maintaining cloud-based data platforms and infrastructure. Deep proficiency in GCP Cloud Services, including significant experience with Big Query, Cloud Storage, Data Proc, APIGEE, Cloud Run, Google Kubernetes Engine (GKE), Postgres, Artifact Registry, Secret Manager, and Access Management (IAM). Hands-on experience implementing and managing CI/CD Pipelines using tools like Tekton and potentially Astronomer. Strong experience with Job Scheduling and workflow orchestration using Airflow. Proficiency with Version Control systems, specifically Git. Strong programming skills in Python. Expertise in SQL and experience with relational databases like SQL Server, MY SQL, Postgres SQL. Experience with or knowledge of data visualization tools like Power BI. Familiarity with code quality and security scanning tools such as FOSSA and SonarQube. Foundational Knowledge on Artificial Intelligence and Machine Learning concepts and workflows. problem-solving skills and the ability to troubleshoot complex distributed systems. Strong communication and collaboration skills. Knowledge of other cloud providers (AWS, Azure, GCP)Skills Required:GCP , Big Query,, AI/ML Company : Getronics (Permanent role) Client : Automobile Industry Experience Required : 4+ Years in IT and minimum 3+ years in GCP Data Engineering/AIML Location : Chennai (Elcot - Sholinganallur) Work Mode : Hybrid LOOKING FOR IMMEDIATE TO 30 DAYS NOTICE CANDIDATES ONLY. Thanks, Durga.

About Tredence: Tredence is a global data science solutions provider founded in 2013 by Shub Bhowmick, Sumit Mehra, and Shashank Dubey focused on solving the last-mile problem in AI. Headquartered in San Jose, California, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. The aim is to bridge the gap between insight delivery and value realization by providing customers with a differentiated approach to data and analytics through tailor-made solutions. Tredence is 3500-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients. Please find below the job description. About the Role We are looking for an experienced and visionary Generative AI Architect with 10-15 years of experience in AI/ML, including hands-on work with LLMs (Large Language Models) and Generative AI solutions . In this strategic technical leadership role, you will be responsible for designing and overseeing the development of advanced GenAI platforms and solutions that transform business operations and customer experiences. As the GenAI Architect, you will work closely with data scientists, ML engineers, product teams, and stakeholders to conceptualize, prototype, and scale generative AI use cases across the organization or client engagements. Key Responsibilities GenAI Solution Architecture & Design Lead the design and development of scalable GenAI solutions leveraging LLMs , diffusion models , and multimodal architectures . Architect end-to-end pipelines involving prompt engineering , vector databases , retrieval-augmented generation (RAG) , and LLM fine-tuning . Select and integrate foundational models (e.g., GPT, Claude, LLaMA, Mistral ) based on business needs and technical constraints. Technical Strategy & Leadership Define GenAI architecture blueprints, best practices, and reusable components for rapid development and experimentation. Guide teams on model evaluation, inference optimization , and cost-effective scaling strategies . Stay current on the rapidly evolving GenAI landscape and assess emerging tools, APIs, and frameworks. Collaboration & Delivery Work with product owners, business leaders, and data teams to identify high-impact GenAI use cases across domains like customer support, content generation, document understanding, and code generation. Support PoCs, pilots, and production deployments of GenAI models in secure, compliant environments. Collaborate with MLOps and cloud teams to enable continuous delivery, monitoring, and governance of GenAI systems. Required Qualifications & Experience Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related technical field . PhD is a plus. Experience: 12-15 years in AI/ML and software engineering, with 3+ years focused on Generative AI and LLM-based architectures . Core Skills Deep expertise in machine learning , natural language processing (NLP) , and deep learning architectures . Hands-on experience with LLMs, transformers, fine-tuning techniques (LoRA, PEFT) , and prompt engineering . Proficient in Python , with libraries/frameworks such as Hugging Face Transformers, LangChain, OpenAI API, PyTorch, TensorFlow . Experience with vector databases (e.g., Pinecone, FAISS, Weaviate) and RAG pipelines . Strong understanding of cloud-native AI architectures (AWS/GCP/Azure), containerization (Docker/Kubernetes), and API integration. Architectural & Leadership Skills Proven ability to design and deliver scalable, secure, and efficient GenAI systems . Strong communication skills for cross-functional collaboration and stakeholder engagement. Ability to mentor engineering teams and drive innovation across the AI/ML ecosystem. Nice-to-Have Experience with multimodal models (text + image/audio/video). Knowledge of AI governance, ethical AI, and compliance frameworks . Familiarity with MLOps practices for GenAI , including model versioning, drift detection, and performance monitoring. Required Skills Generative AI, LLM, GenAI

Role and Responsibilities Design, develop, implement, and maintain AIML products to solve specific business problems Optimize the existing codes using advanced programming skills Execute AIML POC projects Collaborate with various stake holders (Data engineers, Cloud Engineers, Bas) in the practice to deliver optimal outcomes Work on various cloud platforms includes AWS, AZURE and GCP Work on big-data tools (PySpark) Design and develop ML pipelines includes feature engineering, model training & testing, model health monitoring and deployments Create reports, projections, models, and presentations to support business strategy and tactics Exercise independent judgment and decision making on complex issues regarding job duties and related tasks, and work under minimal supervision, use independent judgment requiring analysis of variable factors and determining the best course of action Qualifications and Education Requirements Master's Degree (Data Science/statistics/ Mathematics/Computer Science) + 8years of experience, or equivalent experience with a Bachelors degree Proficiency in programming, preferably Python, R, and SQL (PostgreSQL MySQL/) and NoSQL (MongoDB) Experience of Advanced programming in python/R/Spark includes developing multi-threading and Parallel Processing Experience in designing, developing, implementing and deploying ML products Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Demonstrated experience in AI Implementation and ML modeling problems of diverse scope and complexity Experience in Supervised and Unsupervised ML models training, testing and Validations Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business Ability to exercise independent judgment and decision making on complex issues regarding job duties and related tasks Ability to works under minimal supervision, using independent judgment Experience of working in agile & CICD environment Preferred Skills PhD in Math/Stat/Computer science/Data Science/Engineering Previous experience in IOT industry Experience in leading/ mentoring Experience in Hadoop Experience in Kafka Streaming.

Role and Responsibilities Design, develop, implement, and maintain AIML products to solve specific business problems Optimize the existing codes using advanced programming skills Execute AIML POC projects Collaborate with various stake holders (Data engineers, Cloud Engineers, Bas) in the practice to deliver optimal outcomes Work on various cloud platforms includes AWS, AZURE and GCP Work on big-data tools (PySpark) Design and develop ML pipelines includes feature engineering, model training & testing, model health monitoring and deployments Create reports, projections, models, and presentations to support business strategy and tactics Exercise independent judgment and decision making on complex issues regarding job duties and related tasks, and work under minimal supervision, use independent judgment requiring analysis of variable factors and determining the best course of action Qualifications and Education Requirements Master's Degree (Data Science/statistics/Mathematics/Computer Science) + 8years of experience, or equivalent experience with a Bachelor s degree Proficiency in programming, preferably Python, R, and SQL (PostgreSQL MySQL/) and NoSQL (MongoDB) Experience of Advanced programming in python/R/Spark includes developing multi-threading and Parallel Processing Experience in designing, developing, implementing and deploying ML products Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Demonstrated experience in AI Implementation and ML modeling problems of diverse scope and complexity Experience in Supervised and Unsupervised ML models training, testing and Validations Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business Ability to exercise independent judgment and decision making on complex issues regarding job duties and related tasks Ability to works under minimal supervision, using independent judgment Experience of working in agile & CICD environment Preferred Skills PhD in Math/Stat/Computer science/Data Science/Engineering Previous experience in IOT industry Experience in leading/ mentoring Experience in Hadoop Experience in Kafka Streaming

Role & responsibilities 8+ years of relevant experience in analytics/consulting/informatics and statistics Key Skills - Data and Business Analytics, Advanced Statistics and Predictive Modelling, Stakeholder Management, Project Management Experience in customer segmentation analytics, campaign analytics, etc. is a plus. Exposure to predictive analytics, ML/ AI techniques is an added advantage. Education MBA/Masters in Information Systems, Computer Science, or a quantitative discipline such as mathematics, engineering from tier 1/2 institutes Tools - SQL, Python, Databricks, Data Visualization, PowerBI Good to have – Azure Analysis services, DS/ML experience

Certified AWS Consultant with hands-on experience in AI platform development projects Experience in setting up, maintaining, and developing cloud infrastructure Proficiency with Infrastructure as Code tools such as CloudFormation and/or Terraform Strong knowledge of AWS services including SageMaker , S3 , EC2 , etc. In-depth proficiency in at least one high-level programming language ( Python , Java , etc.) Good understanding of data analytics use cases and AI/ML technologies Primary Skills SageMaker,S3, EC2 CloudFormation / Terraform Java/Python AI/ML

3yrs exp in machine learning, AI eng, or related role Strong prog skills in Python,&exp with ML framwks,TensorFlow, PyTorch, or Scikit-learn Data science tool-NumPy, Pandas,& Jupiter Data structure, data modeling. STARTUP company EXP WILL BE +