1228 Aiml Jobs - Page 37

Description - External Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Lead and manage a team of data scientists, fostering a collaborative and innovative environment Oversee the design and development of predictive models and machine learning algorithms Collaborate with business stakeholders to understand and define their data needs Translate business problems into data-driven solutions, presenting complex results in a clear and actionable manner Monitor model performance and continuously improve the accuracy of predictions and insights Maintain up-to-date knowledge of the latest data science trends and technologies, implementing new methodologies as appropriate Promote data literacy throughout the organization, educating staff on how to use data to drive decision-making Ensure data integrity and compliance with privacy regulations 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 Role & responsibilities Required Qualifications: Bachelor of Engineering or equivalent 10+ years of total experience Coding : Python, pandas, numpy Math behind ML and DL algorithms Basics of Statistics ML and DL concepts Preferred Qualification: Exposure GenAI and LLMs Preferred candidate profile Perks and benefits

Location : JP Nagar, Bangalore Mode of work: Work from Office Experience: 6 months 1.5 years Notice period : Immediate Joiners Only Mode of Interview : Face to Face Were looking for enthusiastic AI/ML talent to work on exciting projects in Generative AI, NLP, LLMs, and Deep Learning. Strong programming skills in Python and SQL Hands-on experience with ML/DL libraries NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch Good understanding of data preprocessing, feature engineering, model training & evaluation Experience working with Django or Flask Experience with Generative AI Familiarity with Deep Learning, NLP, LLMs, Exposure to data visualization tools Matplotlib, Seaborn, Tableau, Power BI Strong problem-solving skills and attention to detail Excellent communication skills Ability to thrive both independently and in a collaborative team setting

Responsibilities: * Collaborate with cross-functional teams on AI projects using Python, Django & FastAPI. * Develop machine learning models with PyTorch/TensorFlow and integrate into apps.

Requirements: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Extensive hands-on experience with platforms and tools such as Dataiku , Azure ML, Azure AI, Foundry, and related systems Strong knowledge of agile methodologies, DevOps practices, and CI/CD pipeline management Demonstrated ability to manage multiple priorities in a fast-paced and dynamic environment Proven leadership skills in guiding cross-functional teams and driving large-scale technology initiatives Experience with Agile methodologies is a plus More details kindly share cv to admin@spearheadps.com or WhatsApp at 9899080360

Role & responsibilities AWS with Databricks infra lead Experienced in setting up the Unity Catalog s Setting out how the group is to consume the model serving processes, Developing MLflow routines, Experienced ML models, Have used Gen AI features with guardrails, experimentation, and monitoring

Job description: AI/ML/Gen AI Technology Lead Location: Andheri, Mumbai Education: Bachelors or Masters degree in Computer Science, Engineering, Mathematics, or a related field with substantial experience in AI/ML engineering. Job Type: Full-Time Responsibilities: 1) Experience in programming languages such as Python, R, or Java. Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of deep learning, image processing, video analytics, and NLP techniques. 2) Experience in AI/ML Model Development, Agentic AI, Image Analytics, Voice Analytics, Text Analytics, Cloud & Infrastructure, Integration & Deployment. Hands on experience on implementation of LLM Models & Generative AI. 3) Hands-on experience with cloud platforms like AWS and Azure, including: AWS: Amazon SageMaker, AWS Lambda, AWS Glue, Amazon Redshift. Azure: Azure Machine Learning, Azure Databricks, Azure Synapse Analytics, Azure Cognitive Services. If interested, please share cv on priya@hrworksindia.com

Key Responsibilities Participate in all stages of the software development lifecycle (SDLC). Develop and maintain scalable applications using Java, Python, or other modern technologies. Create, execute, and maintain automated and manual test cases for applications. Assist in deploying and managing cloud infrastructure (AWS/Azure). Perform data cleaning, analysis, and modeling for AI/ML projects. Collaborate with cross-functional teams to deliver robust solutions. Document development processes, confi gurations, and user instructions. Required Skills Strong foundation in one or more of the following: Java, Manual/Automation Testing, AWS, Azure, Data Science, AI/ML. Familiarity with SDLC, Agile methodologies, and version control systems (e.g., Git). Knowledge of databases (SQL/NoSQL), APIs, and web services is an advantage. Excellent analytical, problem-solving, and communication skills. Certifi cation or internship experience in relevant technologies is a plus. Educational Qualifi cation. Bachelor's/Master's degree in Computer Science, Information Technology, Data Science, or related fields. Perks and Benefits Welcome - Kit will be provided by company. Training Period: 6 months, with flexible options for work from office or work from home. Walk-In Drive at AYSQO! Join one of the fastest-growing tech companies! Date: June 18 to July 15 Time: 10:00 AM to 4:00 PM (Monday to Saturday) Location: AYSQO Technology Solutions Pvt. Ltd. Hitex Bizness Square, 4th Floor, Unit No. 405411, Plot No. 1-98/3/5/23 to 27, Jubilee Enclave, Sy No. 66 & 67, Madhapur, Opp. SBI Bank Branch, HITEC City, Hyderabad 500081 careers@aysqo.com For more details contact Operations Hr. +91 9492921871

Job Title : Python - AI/ML Developer Job Type - Full Time, Permanent Work Type - Work from Office Location - Chennai. Job Description We are seeking highly skilled and motivated Python Developers with AI/ML experience and familiar with prompt engineering and LLM integrations to join our Innovations Team. The team is responsible for exploring emerging technologies, building proof-of-concept (PoC) applications, and delivering cutting-edge AI/ML solutions that drive strategic transformation and operational efficiency. As a core member of the Innovations Team, you will work on AI-powered products, rapid prototyping, and intelligent automation initiatives across domains such as mortgage tech, document intelligence, and generative AI. Key Responsibilities: Design, develop, and deploy scalable AI/ML solutions and prototypes. Build data pipelines, clean datasets, and engineer features for training models. Apply deep learning, NLP, and classical ML techniques. Integrate AI models into backend services using Python (e.g., FastAPI, Flask). Collaborate with cross-functional teams (e.g., UI/UX, DevOps, product managers). Evaluate and experiment with emerging open-source models (e.g., LLaMA, Mistral, GPT). Stay current with advancements in AI/ML and suggest opportunities for innovation. Required Skill Set : Technical Skills: Programming Languages: Python (strong proficiency), experience with NumPy, Pandas, Scikit-learn. AI/ML Frameworks: TensorFlow, PyTorch, HuggingFace Transformers, OpenCV (nice to have). NLP & LLMs: Experience with language models, embeddings, fine-tuning, and vector search. Prompt Engineering: Experience designing and optimizing prompts for LLMs (e.g., GPT, Claude, LLaMA) for various tasks such as summarization, Q&A, document extraction, and multi-agent orchestration. Backend Development: FastAPI or Flask for model deployment and REST APIs. Data Handling: Experience in data preprocessing, feature engineering, and handling large datasets. Version Control: Git and GitHub. Database Experience: SQL and NoSQL databases; vector DBs like FAISS, ChromaDB, or Qdrant preferred. Nice to Have (Optional): Experience with Docker, Kubernetes, or cloud environments (Azure, AWS). Familiarity with LangChain, LlamaIndex, or multi-agent frameworks (CrewAI, AutoGen). Soft Skills: Strong problem-solving and analytical thinking. Eagerness to experiment and explore new technologies. Excellent communication and teamwork skills. Ability to work independently in a fast-paced, dynamic environment. Innovation mindset with a focus on rapid prototyping and proof-of-concepts. Educational Qualification: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or a related field. Certifications in AI/ML or cloud platforms (Azure ML, TensorFlow Developer, etc.) are a plus.

As an AI Automation Intern , you will support the implementation and optimization of AI-powered workflows and automations across departments including lead generation, client onboarding, talent sourcing, and learning platforms. This is a hands-on role perfect for those excited about using automation to solve real business problems. Key Responsibilities : Automation Strategy & Implementation Assist in designing and implementing workflow automations using tools like Zapier, Make (Integromat), n8n, ChatGPT APIs, and Notion AI Automate repetitive tasks across BD, Recruitment, Academy, CXO onboarding, and Marketplace workflows Support WhatsApp + Email funnel integrations using tools like WATI, Twilio, or WhatsApp Cloud API Platform & Data Integrations Help connect front-end forms (Typeform, Zoho, etc.) to CRM systems (HubSpot, Zoho CRM) Set up Airtable/Google Sheets workflows for lead capture, resume sorting, and academy applications Assist in syncing data between Teachable/Graphy, Notion, and candidate dashboards AI Enablement Tasks Create and refine ChatGPT prompts for use in: Email outreach Social media scripting Resume screening Client onboarding flows Support in developing prompt banks and automation libraries Testing & Documentation Build internal documentation for each automation created Regularly test and troubleshoot automation failures Create walkthroughs for non-tech teams to manage automations post-deployment . Who Can Apply Final year students, fresh graduates, or women returning to work with tech interest Prior experience in any automation tool is a plus (even self-taught) Comfortable using Notion, Google Suite, Zapier, and basic APIs Willing to learn new tools quickly and take ownership of mini-projects Skills Youll Learn Real-world automation and process optimization across business verticals Use of AI tools like ChatGPT, Midjourney, Claude, etc. in business settings CRM workflows, API testing, and AI prompt engineering Building job-automation libraries for B2B and B2C systems Growth Path High-performing interns may transition into: AI Workflow Specialist (Remote Ops) Automation Manager – Academy & Marketplace Product Operations Associate

About the Roles As a Technical Lead, you will play a pivotal role in guiding the development and deployment of cutting-edge AI solutions within our organization. You will lead a high-performing team of AI/ML engineers and collaborate closely with cross-functional stakeholders to deliver innovative generative AI, NLP, and intelligent automation capabilities. Your expertise will ensure technical excellence, scalable architecture, and successful delivery of strategic AI initiatives aligned with organizational goals. Lead the development and deployment of cutting-edge AI solutions within the organization. Guide and mentor a high-performing AI/ML engineering team. Architect scalable, reliable, cloud-native AI solutions adhering to industry standards. Drive end-to-end development of flagship AI projects, including POCs and prototypes. Collaborate with cross-functional teams to define requirements and ensure technical feasibility. Lead R&D initiatives to explore emerging Gen AI, NLP, and automation technologies. Ensure best practices in Agile, DevOps, and CI/CD are adopted across the team. Oversee the deployment of AI models on cloud platforms like AWS, Azure, or GCP. Optimize, tune, and validate ML/NLP models for production readiness. Maintain high standards for technical documentation, reporting, and knowledge sharing. Act as the technical interface for stakeholders, communicating project progress and risks. About You Possess 5 to 8 years of AI/ML experience, with 2+ years in a leadership or senior role. Have proven expertise in designing and deploying cloud-native AI applications. Proficient in Python and libraries such as TensorFlow, PyTorch, and NLP tools. Deep understanding of AI/ML concepts, including agentic AI, Gen AI, OCR, NLP, and retrieval tasks. Strong leadership skills with the ability to motivate and guide technical teams. Experienced in creating scalable architectures, workflows, and process flows. Skilled in troubleshooting, analytical thinking, and problem-solving. Excellent communicator capable of explaining complex concepts to non-technical stakeholders. Stay updated with industry trends and lead innovative R&D efforts in AI and automation. Candidate should be graduate /post-graduate with strong academic record and minimum of 9-10 years of experience with 4-6 years working as Technical Lead. Experience in .Net and SQL skills at minimum 2-3 years. Engineering from a Tier-1/Tier-2 institute will be preferred. #LI-AD1 Whats in it For You Hybrid Work Model Weve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrows challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. 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About the Role: Grade Level (for internal use): 13 Location: Gurgaon, Hyderabad and Bangalore : We are seeking a highly skilled and visionary Agentic AI Architect to lead the strategic design, development, and scalable implementation of autonomous AI systems within our organization. This role demands an individual with deep expertise in cutting-edge AI architectures, a strong commitment to ethical AI practices, and a proven ability to drive innovation. The ideal candidate will architect intelligent, self-directed decision-making systems that integrate seamlessly with enterprise workflows and propel our operational efficiency forward. Key Responsibilities As an Agentic AI Architect, you will: AI Architecture and System Design: Architect and design robust, scalable, and autonomous AI systems that seamlessly integrate with enterprise workflows, cloud platforms, and advanced LLM frameworks. Define blueprints for APIs, agents, and pipelines to enable dynamic, context-aware AI decision-making. Strategic AI Leadership: Provide technical leadership and strategic direction for AI initiatives focused on agentic systems. Guide cross-functional teams of AI engineers, data scientists, and developers in the adoption and implementation of advanced AI architectures. Framework and Platform Expertise: Evaluate, recommend, and implement leading AI tools and frameworks, with a strong focus on autonomous AI solutions (e.g., multi-agent frameworks, self-optimizing systems, LLM-driven decision engines). Drive the selection and utilization of cloud platforms (AWS SageMaker preferred, Azure ML, Google Cloud Vertex AI) for scalable AI deployments. Customization and Optimization: Design strategies for optimizing autonomous AI models for domain-specific tasks (e.g., real-time analytics, adaptive automation). Define methodologies for fine-tuning LLMs, multi-agent frameworks, and feedback loops to align with overarching business goals and architectural principles. Innovation and Research Integration: Spearhead the integration of R&D initiatives into production architectures, advancing agentic AI capabilities. Evaluate and prototype emerging frameworks (e.g., Autogen, AutoGPT, LangChain), neuro-symbolic architectures, and self-improving AI systems for architectural viability. Documentation and Architectural Blueprinting: Develop comprehensive technical white papers, architectural diagrams, and best practices for autonomous AI system design and deployment. Serve as a thought leader, sharing architectural insights at conferences and contributing to open-source AI communities. System Validation and Resilience: Design and oversee rigorous architectural testing of AI agents, including stress testing, adversarial scenario simulations, and bias mitigation strategies, ensuring alignment with compliance, ethical and performance benchmarks for robust production systems. Stakeholder Collaboration & Advocacy: Collaborate with executives, product teams, and compliance officers to align AI architectural initiatives with strategic objectives. Advocate for AI-driven innovation and architectural best practices across the organization. Qualifications: Technical Expertise: 12+ years of progressive experience in AI/ML, with a strong track record as an AI Architect , ML Architect, or AI Solutions Lead. 7+ years specifically focused on designing and architecting autonomous/agentic AI systems (e.g., multi-agent frameworks, self-optimizing systems, or LLM-driven decision engines). Expertise in Python (mandatory) and familiarity with Node.js for architectural integrations. Extensive hands-on experience with autonomous AI tools and frameworks LangChain, Autogen, CrewAI, or architecting custom agentic frameworks. Proficiency in cloud platforms for AI architecture AWS SageMaker (most preferred), Azure ML, or Google Cloud Vertex AI, with a deep understanding of their AI service offerings. Demonstrable experience with MLOps pipelines (e.g., Kubeflow, MLflow) and designing scalable deployment strategies for AI agents in production environments. Leadership & Strategic Acumen: Proven track record of leading the architectural direction of AI/ML teams, managing complex AI projects, and mentoring senior technical staff. Strong understanding and practical application of AI governance frameworks (e.g., EU AI Act, NIST AI RMF) and advanced bias mitigation techniques within AI architectures. Exceptional ability to translate complex technical AI concepts into clear, concise architectural plans and strategies for non-technical stakeholders and executive leadership. Ability to envision and articulate a long-term strategy for AI within the business, aligning AI initiatives with business objectives and market trends. Foster collaboration across various practices, including product management, engineering, and marketing, to ensure cohesive implementation of AI strategies that meet business goals. Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group), SWP Priority Ratings - (Strategic Workforce Planning)

Hi everyone. Open Positions in the Cloud Engineer Role Greetings from Tekaccel! This is an excellent opportunity with us. If you have that unique and unlimited passion for building world-class enterprise software products that turn into actionable intelligence, then we have the right opportunity for you and your career. What are we looking for? Job Title: Cloud Engineer Location: Gurgaon (Hybrid)Minimum once a month onsite (may increase as per project needs like deployments) Experience Required: 4-6 years Hire type: Contract Job Description: We are seeking a cloud engineer with strong hands-on experience in operationalizing AI/ML workloads in a GCP cloud environment. The ideal candidate will be skilled in deploying, monitoring, and scaling ML models, with deep knowledge of Google Cloud’s ML services and CI/CD pipelines for ML systems. Key Responsibilities: Implement and operationalize AI/ML pipelines using GCP services Develop and manage CI/CD pipelines for ML workflows (Cloud Build, GitHub Actions, Tekton) Containerize ML workloads using Docker, deploy and orchestrate on GKE/Kubernetes Use Infrastructure as Code tools (Terraform or Deployment Manager) for provisioning Implement model deployment and monitoring frameworks Integrate DevOps practices into the ML lifecycle Collaborate with Data Scientists and Engineers to productionize ML models Skills Required: GCP Vertex AI, Data Fusion, Dataplex CI/CD for ML (Cloud Build, GitHub Actions, Tekton) Containerization: Docker, GKE/Kubernetes Infrastructure as Code: Terraform or Deployment Manager Experience with model deployment & monitoring Strong understanding of DevOps integration into ML lifecycle Medium to high hands-on expertise is mandatory Role Summary: You will be responsible for enabling, deploying, and managing ML workloads in production environments using GCP’s AI/ML stack. You will play a key role in scaling ML systems and ensuring robust, automated ML pipelines. If interested, candidates, please share your updated resume at naveen@tekaccel.com or WhatsApp at +91 7997763537 Tekaccel Software Services India

Role: AIML Engineer Experience: 2 to 8 Yrs Notice period: 0- 10 Days Job Location: Hyderabad and Bangalore. (Hybrid) Job Description: Strong proficiency in Python for AI/ML development. Hands-on experience with OpenAI, GPT models, and LangChain or LlamaIndex. Deep understanding of Retrieval-Augmented Generation (RAG) concepts and implementations. Familiarity with vector databases like FAISS, Pinecone, or Weaviate. Good knowledge of data engineering principles (ETL, data modeling, batch/streaming pipelines). Experience with cloud platforms (Azure, AWS, or GCP) for deploying AI/ML solutions. Proficient in tools like Pandas, NumPy, Scikit-learn, and MLflow. Exposure to LLMOps, model versioning, and monitoring is a plus.

Amlgo Labs is Hiring | 2 Exciting Roles Available! Location: Gurugram (Hybrid) | Job Type: Full-Time Company Website: https://amlgolabs.com/ Position 1: Junior AI Engineer (Fresher LLMs & Generative AI Focus) Experience: 01 Year | Department: Artificial Intelligence / R&D About the Role: Join our cutting-edge AI team working on Large Language Models (LLMs), Generative AI, and automation solutions. Ideal for recent graduates passionate about machine learning, natural language processing, and prompt engineering. Key Responsibilities: Work with LLMs (e.g., OpenAI, Hugging Face) for development, fine-tuning, and integration Design effective prompts to optimize model performance Assist in deploying generative AI applications (text/code/image) Build Python-based AI/ML pipelines and evaluate models Collaborate with data teams for dataset management and preprocessing Monitor model behavior in production environments Document experiments, results, and technical workflows Required Qualifications: Bachelors in CS, Engineering, Data Science, or related field 01 year experience in AI/ML or relevant project work Proficiency in Python and libraries (NumPy, pandas, scikit-learn, matplotlib) Basic ML understanding and exposure to LLMs (GPT, LLaMA, etc.) Familiarity with Hugging Face, OpenAI API is a plus Awareness of ETL/data engineering practices Position 2: Full Stack Developer Experience: 0-1 Year | Department: Software Development About the Role: We are seeking a driven Full Stack Developer to build robust, scalable, and user-friendly web applications. You will work on both frontend and backend development, ensuring seamless performance from code to deployment. Key Responsibilities: Develop dynamic UIs using React.js, Next.js, TypeScript, Tailwind CSS, HTML/CSS Create backend services and RESTful APIs with Node.js and Python Work with MongoDB for NoSQL database management Manage deployments using Docker, VPS, Linux, and Nginx Collaborate cross-functionally to build high-quality solutions Conduct code reviews and continuously improve development practices Debug across various environments and optimize application performance Required Skills: Solid knowledge of JavaScript and TypeScript Experience in React.js, Next.js, Tailwind CSS, HTML, CSS Hands-on experience with Node.js and Python backend Familiarity with MongoDB and cloud/server deployments Understanding of RESTful API principles and modern dev tools Strong analytical and debugging skills About Us: Amlgo Labs is building the next generation of AI-driven solutions, with a focus on Large Language Models (LLMs), Generative AI, and intelligent automation. We're seeking curious and motivated individuals who want to work at the cutting edge of AI.

About the Role: We are seeking a highly motivated and hands-on AI/ML Engineer to design and implement intelligent systems for our mobile health and wellness platform. This role will focus on developing the AI Engine and predictive analytics features that drive our apps core value—delivering actionable health insights to users through real-time data processing and behavioural pattern analysis. As an AI/ML Engineer, you will leverage Amazon SageMaker and industry-standard frameworks like TensorFlow, PyTorch, and Scikit-learn to build, train, and deploy machine learning models. You'll work in close collaboration with the backend, frontend, and data engineering teams to integrate AI/ML services into a secure, scalable, and responsive mobile experience. Key Responsibilities: Design, train, validate, and deploy ML models on Amazon SageMaker to: Predict health trends Generate personalised AI recommendations Calculate life expectancy indicators based on multi-source data Build and maintain data pipelines that ingest data from wearables, healthcare platforms, manual inputs, and sensors Collaborate with the Node.js backend and Flutter frontend teams to integrate ML models into the mobile app via APIs Continuously improve model accuracy using real-world user data, A/B testing, and feedback loops Implement explainable AI techniques to ensure outputs are interpretable and user-friendly Leverage OCR tools (Amazon Textract/Rekognition) to extract data from uploaded health documents and reports Ensure all AI modules are privacy-aware , secure, and meet compliance standards for health-related applications Work with the UI/UX team to translate model outputs into engaging, intuitive data visualisations Initial Phase Deliverables: Phase 1: Life Expectancy Indicator model AI-generated health summaries and visual feedback Emergency prediction triggers (based on wearable or manual input data) AI-integrated dashboard components Phase 2: Personalised health and lifestyle recommendations Deep learning-based behaviour prediction Enhanced carer quality-of-care analysis and service feedback analytics Required Skills & Experience: 3–5 years of experience in machine learning and data science , with end-to-end experience from data prep to model deployment Proficiency with Amazon SageMaker , TensorFlow , PyTorch , Scikit-learn Strong knowledge of Python and relevant ML libraries (e.g., Pandas, NumPy, Matplotlib) Experience integrating ML models into mobile or web apps via REST APIs Solid understanding of time-series data , classification , regression , and recommendation systems Familiarity with health-related datasets , wearable device data , and personalisation algorithms Hands-on experience with OCR pipelines using Textract or equivalent services Strong problem-solving skills and a collaborative, agile mindset Nice to Have: Experience working with HIPAA-compliant systems or health tech products Background in signal processing from wearable sensors Experience working with real-time anomaly detection models Exposure to serverless AI deployment on AWS (Lambda + SageMaker) What We Offer: Opportunity to shape the intelligence layer of an impactful digital health platform Access to cutting-edge tools in AI, wearables, and predictive analytics Collaborative team environment with growth opportunities into Lead AI Engineer or Product Innovation Lead Competitive compensation package Fast-paced, mission-driven culture focused on real-world impact How to Apply: Send your resume and a short cover letter to careers@a1disabilitysupportcare.com.au Subject: AI/ML Engineer – Mobile Health App – Mumbai (Very Important: You NEED TO copy-paste this subject above in the subject field of the email)

Greetings from Futurea4! We are looking for a passionate and experienced Senior Data Scientist to drive innovation in the world of Gen AI, NLP, LLMs , and MLOps . Position : Senior Data Scientist Gen AI | NLP | LLM | MLOps Locations : Bangalore | Pune | Noida | Gurgaon | Hyderabad Experience : 6 to15 Years Joiners Preferred : Immediate or Short Notice Key Responsibilities Design and implement advanced NLP and Gen AI models using cutting-edge LLMs (e.g., GPT, LLaMA, Mistral). Fine-tune and customize LLMs through LoRA , PEFT , and prompt engineering techniques. Develop scalable ML pipelines and ensure smooth deployment via MLOps best practices. Translate business challenges into impactful AI-powered solutions . Monitor and improve model performance for accuracy and scalability. Create documentation and foster cross-functional knowledge sharing. Required Skills Strong hands-on experience in Generative AI , NLP , and LLM development (using frameworks like Hugging Face, spaCy, LangChain). Expert knowledge of Python , TensorFlow/PyTorch , and the ML lifecycle. Deep MLOps know-how: CI/CD, model monitoring, versioning, and deployment workflows. Cloud-native development experience (AWS, Azure, or GCP) and container tools ( Docker , Kubernetes ). Experience with large-scale data handling and data engineering principles. Nice to Have Familiarity with RAG pipelines , vector databases , and advanced prompt tuning. Exposure to multi-modal architectures , transformer models , and open-source LLMs . Publications or community involvement in AI research or development. Apply Today If you're eager to build the future of AI and ready to take on exciting challenges, we want to hear from you.

Hello Everyone, Optum is hiring Java Developer with AI ML flavor at Gurgaon/Noida. Primary Skills: Java, Spring, GenAI, Splunk/Dynatrace/New Relic, AWS/GCP/Azure, Deep Learning Experience: 7 yrs to 11 yrs Notice Period: Immediate to 45 days Location: Gurgaon/Noida Job Description: Experience in AI Ops that includes AI/ML Models quality monitoring and alerting, AI/ML Model development and continuous improvement, incident triage, troubleshooting, monitoring, continuous innovation Strong knowledge of GenAI models like Gemini, GPT4, and traditional machine learning models from the NLP/Deep Learning discipline. 7+ yrs of experience Java development. Hands-on experience on AI ML (Min 6 months - 1 yr in project) Experience working with data analysis (e.g., Splunk, Dynatrace, New Relic) tools. Experience working with AI technologies and cloud platforms (Google Cloud Platform, GCP). Solid incident management skills, with a data-driven and analytical approach to diagnosing complex issues Excellent problem-solving and troubleshooting skills. Ability to work collaboratively with a diverse team of engineers, architects, and developers. Ability to work independently and in a team environment Nice to Have Machine Learning certifications. Experience in a Healthcare Payer enterprise. Proficient in CRM platforms, such as Salesforce. Knowledge of data privacy regulations and practices. Experience in training team members on machine learning technologies and applications. Strong communication and project management skills. Ability to work independently and in a team environment Interested can share their updated CV at mohammad_ayub@optum.com. Thanks and Regards, Arshad Ayub - Talent Scout Optum mohammad_ayub@optum.com

Utilize expertise in AI/ML and Data Science to develop and deploy AI models in production environments, ensuring scalability, reliability, and efficiency. Implement and optimize machine learning algorithms, neural networks, and statistical modelling techniques to solve complex problems. Hands-on experience in developing and deploying large language models (LLMs) in production environments, with a good understanding of distributed systems, microservice architecture, and REST APIs. Collaborate with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment. Stay updated with the latest advancements in AI/ML technologies and contribute to the development and improvement of AI frameworks and libraries. Ensure compliance with industry best practices and standards in AI engineering, maintaining high standards of code quality, performance, and security. Required education Bachelor's Degree Preferred education Bachelor's Degree Required technical and professional expertise Proficiency in Python, C++. Experience with relevant ML libraries (e.g., TensorFlow, PyTorch) for developing production-grade quality products. Expertise in various databases including open-source databases like MongoDB, CouchDB, CockroachDB. Skills in Git, CI/CD pipelines (Jenkins, Travis CI, GitLab CI), and containerization (Docker, Kubernetes). Experience in contributing to open-source AI projects or utilizing open-source AI frameworks. Experience in optimizing AI algorithms for performance and scalability. Preferred technical and professional experience Proven ability to implement and optimize machine learning algorithms, neural networks, and statistical modelling techniques to solve complex problems effectively. Proficiency in distributed systems, microservice architecture, and REST APIs. Experience in collaborating with cross-functional teams to integrate MLOps pipelines with CI/CD tools for continuous integration and deployment, ensuring seamless integration of AI/ML models into production workflows. Experience in using container orchestration platforms such as Kubernetes to deploy and manage machine learning models in production environments, ensuring efficient scalability and management of AI infrastructure. Proven ability to contribute to the development and improvement of AI frameworks and libraries. Strong communication skills with the ability to communicate technical concepts effectively to non-technical stakeholders.

Internship Opportunity No-Code Automation Were looking for a proactive intern to help build and maintain automated workflows using no-code tools like n8n . Key Responsibilities: Build and optimize automation workflows Integrate tools using APIs and webhooks Troubleshoot and iterate workflows Maintain documentation and support knowledge sharing Who Should Apply: Familiar with no-code platforms (esp. n8n) Basic understanding of APIs & webhooks Strong problem-solving and learning attitude Can work independently Location Note: Candidates whose hometown is Siliguri but are currently based in other cities are encouraged to apply . Were open to relocation for the right fit and this is a great opportunity to move back home while gaining hands-on experience.

Data Scientist (1–2 yrs exp) We’re looking for a Data Scientist with strong skills in Python, ML (scikit-learn/TensorFlow/Keras), Azure AI/ML, and data analysis.

Experience Experience : Fresher only , no prior industry experience required Academic/Internship/Project work in AI must be showcased Educational & Skill Requirements Bachelors degree in Computer Science, Information Technology, Data Science, AI/ML , or related field Strong foundational knowledge of Artificial Intelligence, Machine Learning , and Deep Learning Hands-on experience in at least one academic or personal project related to AI (e.g., image recognition, NLP chatbot, recommendation systems, etc.) Proficiency in Python and experience with libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV, or Hugging Face Exposure to data handling using Pandas, NumPy, etc. Knowledge of LangChain is required

Job title: ServiceNow UI Developer Role: Service Now UI Developer Note: No Admin or ITMS/CMDB candidates, the candidates have to be developers and have strong Service Now development experience. Any Agentic knowledge is a plus. Location: Hyderabad Key Responsibilities: Design and development of scalable applications and ServiceNow solutions. Collaborate with stakeholders to define technical requirements and architectural decisions. Guide and mentor development teams, fostering best practices in clean code, design patterns, and secure coding. Perform code reviews and provide constructive feedback to ensure quality and consistency. Drive DevOps practices such as CI/CD, automated testing, and deployment pipelines. Oversee integrations between ServiceNow and other enterprise systems. Lead and contribute to AI/ML initiatives, including integrating AI services into existing platforms and developing intelligent automation solutions. Ensure performance, security, and compliance standards are met. Stay updated with emerging technologies and trends to inform future development. Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 5+ years of experience in software development Proven experience with ServiceNow development (Workflows, Catalogs, IntegrationHub, CMDB, etc.). Strong knowledge of JavaScript (ES6+) and ServiceNow scripting APIs. Solid understanding of DevOps principles, including containerization (Docker), CI/CD tools (e.g., Jenkins, GitHub Actions), and Infrastructure as Code. Experience in software design, architecture, and leading development teams. Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, OpenAI, Azure Cognitive Services, etc.). Expertise in various architectural models, including domain-driven design, microservices-architecture, event-driven-architecture, and micro-frontend-architecture. Excellent communication skills and the ability to collaborate across cross-functional teams. Preferred Qualifications: ServiceNow certifications (CSA, CAD, CIS-ITSM, etc.). Experience with other modern web technologies (e.g., React, Node.js). Familiarity with agile/scrum methodologies. Experience implementing AI-driven workflows or chatbots within enterprise platforms. Contact: Mani - Team Lead HR Recruiter Email: mani.t@infowaygroup.com Cell: +91-9513618504 WhatsApp: +91-9513618504 Info Way Solutions LLC Email is the best way to reach me”

Must have: 5+ years of experience in designing, developing, and deploying AI/ML solutions, with at least 3+ years focused on AWS AI/ML services. Deep hands-on experience with Amazon SageMaker for building, training, tuning, and deploying ML models. Proven ability to work with AWS data services, such as: Amazon S3 (data storage),AWS Glue or AWS Data Wrangler (data processing), Amazon Athena or Redshift (querying/analytics) Familiarity with AWS AI services, like:Amazon Rekognition (computer vision), Amazon Comprehend (NLP), Amazon Transcribe/Polly (speech), Amazon Lex (chatbots) Experience building end-to-end ML pipelines using AWS-native tools or integrating with tools like Step Functions, Lambda, and CloudWatch for automation and monitoring. Solid understanding of model versioning, deployment strategies (real-time, batch, A/B testing), and model monitoring on AWS. Proficiency in Python for ML model development and deployment. Good to have: Hands-on experience with MLOps practices using AWS tools (e.g., SageMaker Pipelines, Model Registry, CodePipeline, CloudFormation). Familiarity with data lake architecture and tools like AWS Lake Formation. AWS certifications (e.g., AWS Certified Machine Learning Specialty, Solutions Architect – Associate/Professional).Experience with Application performance tuning

Responsibilities: Annotate and label datasets accurately using specialized tools and guidelines Review and correct existing annotations to ensure data quality Collaborate with machine learning engineers and data scientists to understand annotation requirements Follow detailed instructions and apply judgment to edge cases and ambiguous data Meet project deadlines and maintain high levels of accuracy and efficiency Provide feedback to improve annotation guidelines and workflows Participate in training sessions to stay updated on evolving tools and techniques Requirements: BA, BBA, B.Com, B.Tech, BCA, and other Management streams Strong attention to detail and ability to follow complex instructions Basic computer skills and familiarity with data entry or annotation tools Freshers are eligible to apply for the role Good communication skills and the ability to work independently or in a team Experience with data labeling tools (e.g., Labelbox, CVAT, Scale AI, Amazon SageMaker Ground Truth) is a plus Familiarity with AI/ML concepts is a bonus Perks and Benefits Salary: 250000 - 300000 Medicare Benefits Both side cab facilities.

Key Responsibilities Design, develop, and deploy AI solutions that span both traditional ML models and GenAI-based systems . Build machine learning pipelines using algorithms like linear/logistic regression, decision trees, SVMs, random forests, XGBoost , clustering (K-means, DBSCAN), and time series forecasting . Analyze datasets to derive meaningful insights and build predictive models to solve business problems. Work on GenAI applications using LLMs, including prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Develop and integrate LLM-based features using frameworks like LangChain, Hugging Face Transformers, or OpenAI API. Collaborate with data, product, and engineering teams to define and implement AI-driven functionalities . Apply statistical modeling and inference techniques for feature selection, model evaluation, and data exploration. Optimize performance of ML and GenAI models through hyperparameter tuning, cross-validation , and error analysis. Design and maintain data pipelines and ML workflows using tools like Airflow, DVC , or MLflow . Deploy models into production with appropriate MLOps practices, ensuring monitoring, retraining , and version control . Research and evaluate advancements in both traditional ML and LLM-based AI . Skills & Experience 3-6 years of experience in AI/ML using Python. Proficient in machine learning algorithms (classification, regression, clustering, dimensionality reduction, ensemble methods). Hands-on experience with GenAI/LLM applications (prompt design, RAG, fine-tuning, etc.). Familiarity with data preprocessing, feature engineering , and working with structured and unstructured data . Proficient in Python ML libraries : Scikit-learn, XGBoost, LightGBM, Pandas, NumPy. Experience with deep learning frameworks : PyTorch or TensorFlow. Familiarity with vector databases (e.g., FAISS, Pinecone) and LLM orchestration tools (LangChain, Hugging Face). Experience in model evaluation techniques , including AUC-ROC, precision-recall, RMSE, etc. Familiarity with cloud AI services (AWS SageMaker, GCP AI Platform, or Azure ML). Solid understanding of MLOps tools : MLflow, Docker, Git, CI/CD pipelines. Strong analytical, communication, and collaboration skills.