Company: Chicmic Studios Job Role: Python Machine Learning & AI Developer Experience Required: 3+ Years We are looking for a highly skilled and experienced Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Key Responsibilities Develop and maintain web applications using Django and Flask frameworks. Design and implement RESTful APIs using Django Rest Framework (DRF) Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. Build and integrate APIs for AI/ML models into existing systems. Create scalable machine learning models using frameworks like PyTorch , TensorFlow , and scikit-learn . Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. Deploy and manage machine learning models in production environments using tools like TensorFlow Serving , TorchServe , and AWS SageMaker . Ensure the scalability, performance, and reliability of applications and deployed models. Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. Write clean, maintainable, and efficient code following best practices. Conduct code reviews and provide constructive feedback to peers. Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field. 3+ years of professional experience as a Python Developer. Proficient in Python with a strong understanding of its ecosystem. Extensive experience with Django and Flask frameworks. Hands-on experience with AWS services for application deployment and management. Strong knowledge of Django Rest Framework (DRF) for building APIs. Expertise in machine learning frameworks such as PyTorch , TensorFlow , and scikit-learn . Experience with transformer architectures for NLP and advanced AI solutions. Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Familiarity with MLOps practices for managing the machine learning lifecycle. Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Contact : 9875952836 Office Location: F273, Phase 8b Industrial Area Mohali, Punjab. Job Type: Full-time Schedule: Day shift Monday to Friday Work Location: In person

About The Role Grade Level (for internal use): 11 The Role: Foreseer AI – Manager II The Team: The Foreseer team delivers digital transformation solutions at SPGMI for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers. Responsibilities Include Support and foster a quality-first, agile culture that is built on partnership, trust and sharing Design, develop and maintain functionalities to create new solutions on the platform. Learning and understanding all aspects of the framework and the project deliverables. Be technically deep and provide input on architecture, design and code. Be responsible for driving technical design, architecture and implementation of new features and iterations of your project. Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations. Ensure the use of standards, governance and best practices in the industry to deliver high quality scalable solutions. Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills. Experience & Qualifications BS or MS degree in Computer Science or Information Technology or equivalent. Proven experience in generative AI, machine learning, and data transformation. Strong proficiency in Python and familiarity with AI libraries (e.g., TensorFlow, PyTorch). 8+ years hands on experience with Java, J2EE and related frameworks and technologies (Spring, Restful services, Spring Boot, Spring JPA, Spring Security, MVC etc.). 3+ years of experience with designing, architecting and building microservices based distributed systems in serverless environment (containers platforms). 3+ years of experience in Active MQ, Kafka or other related JMS providers. 1+ years of experience in leading global teams in an agile environment. Proficient with Data structures and Algorithms. Experience with Design and development using generative AI models and algorithms using Python. Experience with Performance tuning, Thread dump analysis and code refactoring. Experience in different data base technologies (like RDBMS, NOSQL) Experience in Containerization, Kubernetes, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc. Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools Nice To Have Skills Distributed systems programming. AI/ML solutions architecture. Knowledge of GenAI Platforms and tech stacks. Hands on experience with Elastic/Redis search. Hands on experience in Python Hands on experience in Vaadin Framework. Experience in Agile and Scrum methodologies What’s In It For You? Our Purpose Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the 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 We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. 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 can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global. Our Benefits Include Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure 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 Perks: It’s 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 Basics: From retail discounts to referral incentive awards—small perks can make a big difference. For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Global Hiring And Opportunity At S&P Global At S&P Global, we are committed to fostering a connected and engaged 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 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) Job ID: 315896 Posted On: 2025-06-06 Location: Gurgaon, Haryana, India Show more Show less

Job Description: Jr. / Sr. Python Developer We are looking for a highly skilled and experienced Jr. / Sr. Python Developer to join our dynamic team. The ideal candidate will have a robust background in developing web applications using Django and Flask, with expertise in deploying and managing applications on AWS. Proficiency in Django Rest Framework (DRF), a solid understanding of machine learning concepts, and hands-on experience with tools like PyTorch, TensorFlow, and transformer architectures are essential. Location : Mohali Exp : 3-8 yrs Key Responsibilities ● Develop and maintain web applications using Django and Flask frameworks. ● Design and implement RESTful APIs using Django Rest Framework (DRF). ● Deploy, manage, and optimize applications on AWS services, including EC2, S3, RDS, Lambda, and CloudFormation. ● Build and integrate APIs for AI/ML models into existing systems. ● Create scalable machine learning models using frameworks like PyTorch, TensorFlow, and scikit-learn. ● Implement transformer architectures (e.g., BERT, GPT) for NLP and other advanced AI use cases. ● Optimize machine learning models through advanced techniques such as hyperparameter tuning, pruning, and quantization. ● Deploy and manage machine learning models in production environments using tools like TensorFlow Serving, TorchServe, and AWS SageMaker. ● Ensure the scalability, performance, and reliability of applications and deployed models. ● Collaborate with cross-functional teams to analyze requirements and deliver effective technical solutions. ● Write clean, maintainable, and efficient code following best practices. ● Conduct code reviews and provide constructive feedback to peers. ● Stay up-to-date with the latest industry trends and technologies, particularly in AI/ML. Required Skills and Qualifications ● Bachelor’s degree in Computer Science, Engineering, or a related field. ● 3-8 years of professional experience as a Python Developer. ● Proficient in Python with a strong understanding of its ecosystem. ● Extensive experience with Django and Flask frameworks. ● Hands-on experience with AWS services for application deployment and management. ● Strong knowledge of Django Rest Framework (DRF) for building APIs. ● Expertise in machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn. ● Experience with transformer architectures for NLP and advanced AI solutions. ● Solid understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). ● Familiarity with MLOps practices for managing the machine learning lifecycle. ● Basic knowledge of front-end technologies (e.g., JavaScript, HTML, CSS) is a plus. ● Excellent problem-solving skills and the ability to work independently and as part of a team. ● Strong communication skills and the ability to articulate complex technical concepts to non-technical stakeholders. Interested candidate can share their update resume at manpreet.kaur(at)chicmicstudios.in Thanks Job Type: Full-time Benefits: Leave encashment Paid sick time Paid time off Provident Fund Schedule: Day shift Supplemental Pay: Overtime pay Education: Bachelor's (Preferred) Experience: total: 3 years (Preferred) Django: 2 years (Preferred) Python: 2 years (Preferred) Work Location: In person

The Role- As an AI Engineer , you will be responsible for building and optimizing AI-first solutions that power BotPenguin’s conversational and Agentic capabilities. You will work on LLM integrations, NLP pipelines, and machine learning models, while collaborating with cross-functional teams to deliver intelligent experiences at scale. This is a high-impact role that combines engineering, research, and deployment skills to solve real-world problems using artificial intelligence. What you need for this role- Education: Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Experience: 2–5 years of experience working in AI/ML or related software engineering roles. Technical Skills: Strong proficiency in Python and libraries such as scikit-learn, PyTorch, TensorFlow, Transformers (Hugging Face). Hands-on experience with LLMs (OpenAI, Claude, LLaMA) and building AI agents using API integrations. Experience working with NLP tasks (intent classification, text generation, embeddings, summarization). Familiarity with Vector Databases like Pinecone, FAISS, Elastic Vector DB. Understanding of Prompt Engineering, RAG (Retrieval-Augmented Generation), and embedding generation. Proficiency in building and deploying ML models via Docker/Kubernetes or cloud services like AWS/GCP. Experience with version control systems (GitLab/GitHub) and working in Agile teams. Soft Skills: Strong analytical thinking and problem-solving capabilities. Passion for research, innovation, and applying AI to real-world use-cases. Excellent communication skills and the ability to collaborate across departments. Attention to detail with a focus on model accuracy, explainability, and performance. What you will be doing- Design, build, and optimize AI-powered chatbot features and virtual agents using state-of-the-art models. Collaborate with the Product, Backend, and UI teams to integrate intelligent workflows into the BotPenguin platform. Build, evaluate, and fine-tune language models and NLP components tailored to user use-cases. Implement context-aware chat solutions using embeddings, vector stores, and retrieval mechanisms. Create internal tools for prompt testing, versioning, and debugging AI responses. Monitor model performance metrics such as latency, hallucination rate, and user satisfaction. Explore research papers, open-source innovations, and contribute to rapid experimentation. Write clean, modular, and testable code along with clear documentation for future scalability. Any other development related tasks as required for BotPenguin. Guiding, reviewing the code written by junior members in the team. Top reasons to work with us- Be part of a cutting-edge AI startup driving innovation in chatbot automation. Work with a passionate and talented team that values knowledge-sharing and problem-solving. Growth-oriented environment with ample learning opportunities. Exposure to top-tier global clients and projects with real-world impact. Flexible work hours and an emphasis on work-life balance. A culture that fosters creativity, ownership, and collaboration. Job Type: Full-time Pay: ₹500,000.00 - ₹800,000.00 per year Benefits: Flexible schedule Health insurance Provident Fund Schedule: Day shift Work Location: In person

Job Title: Backend Developer Internship In Mohali Location: Mohali Duration : 6 Months Stipend Details: Rs.10,000-15,000/month Job Summary: We are looking for a passionate and enthusiastic Intern to join our IT software solutions team. This internship provides an excellent opportunity to gain hands-on experience in full-stack development, working on cutting-edge technologies, including AI-driven applications. The ideal candidate should have a strong interest in both front-end and back-end development and be eager to learn and grow in a dynamic work environment. Responsibilities: Assist in the design, development, and maintenance of web applications and software solutions. Work with senior developers to implement front-end and back-end features using modern frameworks and technologies. Write clean and efficient code under the guidance of experienced developers. Participate in debugging, troubleshooting, and improving application performance. Collaborate with cross-functional teams to understand project requirements and deliver quality solutions. Learn and work on AI and machine learning integration as an additional skill. Stay updated with the latest trends and advancements in software development. Requirements: Currently pursuing or recently completed a Bachelor’s/Master’s degree in Computer Science, IT, or a related field. School Education Board should be CBSE/ICSE Basic knowledge of front-end technologies such as HTML, CSS, JavaScript, React.js, Angular, or Vue.js. Understanding of back-end development with Node.js, Python, Java, or PHP. Familiarity with databases like MySQL, PostgreSQL, or MongoDB. Exposure to cloud platforms such as AWS, Azure, or Google Cloud is a plus. Basic understanding of version control systems (Git, GitHub, GitLab). Interest in AI/ML technologies (TensorFlow, PyTorch, OpenAI, or related frameworks) is a plus. Strong problem-solving skills and eagerness to learn new technologies. Good communication and teamwork skills. Job Types: Full-time, Permanent, Internship Contract length: 6 months Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Morning shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required) Application Question(s): Are you willing to relocate to Mohali ? What is your School Education Board ? Work Location: In person

Job Title: Python Developer Location: Mohali, Punjab Company: RevClerx About RevClerx: RevClerx Pvt. Ltd., founded in 2017 and based in the Chandigarh/Mohali area (India), is a dynamic Information Technology firm providing comprehensive IT services with a strong focus on client-centric solutions. As a global provider, we cater to diverse business needs including website designing and development, digital marketing, lead generation services (including telemarketing and qualification), and appointment setting. Job Summary: We are seeking a motivated and skilled Python Developer with 3-4 years of professional experience to join our dynamic engineering team. The ideal candidate will be proficient in developing, deploying, and maintaining robust Python-based applications and services. You will play a key role in the entire software development lifecycle, from conceptualization and design through testing, deployment, and ongoing maintenance. While core Python development is essential, we highly value candidates with an interest or experience in emerging technologies like AI/ML and Large Language Model (LLM) applications. Key Responsibilities: Design, develop, test, deploy, and maintain high-quality, scalable, and efficient Python code. Collaborate closely with product managers, designers, and other engineers to understand requirements and translate them into technical solutions. Participate in the full software development lifecycle (SDLC) using Agile methodologies. Write clean, maintainable, well-documented, and testable code. Contribute to code reviews to ensure code quality, share knowledge, and identify potential issues. Troubleshoot, debug, and upgrade existing software systems. Develop and integrate with RESTful APIs and potentially other web services. Work with databases (like Postgersql) to store and retrieve data efficiently. Optimize applications for maximum speed, scalability, and reliability. Stay up-to-date with the latest industry trends, technologies, and best practices in Python development and related fields. Potentially assist in the integration of AI/ML models or contribute to projects involving LLM-based agents or applications. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 3-4 years of professional software development experience with a primary focus on Python. Strong proficiency in Python and its standard libraries. Proven experience with at least one major Python web framework (e.g., Django, Flask, FastAPI). Solid understanding of object-oriented programming (OOP) principles. Experience working with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB, Redis). Proficiency with version control systems, particularly Git. Experience designing, building, and consuming RESTful APIs. Familiarity with Agile development methodologies (e.g., Scrum, Kanban). Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Preferred (Good-to-Have) Qualifications: AI/ML Knowledge: Basic understanding of machine learning concepts and algorithms. Experience with relevant Python libraries for data science and ML (e.g., Pandas, NumPy, Scikit-learn). Experience integrating pre-trained ML models into applications. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus. LLM Experience: Demonstrable interest or hands-on experience in building applications leveraging Large Language Models (LLMs). Experience working with LLM APIs (e.g., OpenAI GPT, Anthropic Claude, Google Gemini). Familiarity with LLM frameworks or libraries (e.g., LangChain, LlamaIndex). Understanding of basic prompt engineering techniques. Experience building or experimenting with LLM-powered agents or chatbots. Containerization & Orchestration: Experience with containerization technologies like Docker and orchestration tools like Kubernetes. CI/CD: Experience setting up or working with Continuous Integration/Continuous Deployment (CI/CD) pipelines (e.g., Jenkins, GitLab CI, GitHub Actions). Asynchronous Programming: Experience with Python's asynchronous libraries (e.g., asyncio, aiohttp). What We Offer: Challenging projects with opportunities to work on cutting-edge technologies especially in the field of AI. Competitive salary and comprehensive benefits package. Opportunities for professional development and learning (e.g., conferences, courses, certifications). A collaborative, innovative, and supportive work environment. Job Type: Full-time Pay: ₹16,526.97 - ₹68,399.45 per month Benefits: Food provided Health insurance Location Type: In-person Schedule: Monday to Friday Work Location: In person Speak with the employer +91 9041633697

Job Summary: We are seeking a highly skilled Python Developer with expertise in Machine Learning and Data Analytics to join our team. The ideal candidate should have 5-6 years of experience in developing end-to-end ML-driven applications and handling data-driven projects independently. You will be responsible for designing, developing, and deploying Python-based applications that leverage data analytics, statistical modeling, and machine learning techniques. Key Responsibilities: Design, develop, and deploy Python applications for data analytics and machine learning. Work independently on machine learning model development, evaluation, and optimization. Develop ETL pipelines and process large-scale datasets for analysis. Implement scalable and efficient algorithms for predictive analytics and automation. Optimize code for performance, scalability, and maintainability. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Integrate APIs and third-party tools to enhance functionality. Document processes, code, and best practices for maintainability. Required Skills & Qualifications: 5-6 years of professional experience in Python application development. Strong expertise in Machine Learning, Data Analytics, and AI frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Proficiency in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib. Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). Hands-on experience with big data technologies (Apache Spark, Delta Lake, Hadoop, etc.). Strong experience in developing APIs and microservices using FastAPI, Flask, or Django. Good understanding of data structures, algorithms, and software development best practices. Strong problem-solving and debugging skills. Ability to work independently and handle multiple projects simultaneously. Good to have - Working knowledge of cloud platforms (Azure/AWS/GCP) for deploying ML models and data applications. Job Type: Full-time Pay: ₹500,000.00 - ₹1,000,000.00 per year Schedule: Fixed shift Work Location: In person Application Deadline: 30/06/2025 Expected Start Date: 01/07/2025

We are seeking a skilled and motivated Software Engineer with strong experience in Google Cloud Platform (GCP) and Python programming. In this role, you will be responsible for designing, developing, and maintaining scalable and reliable cloud-based solutions, data pipelines, or applications on GCP, leveraging Python for scripting, automation, data processing, and service integration. Bachelor’s degree in computer science or engineering 3+ plus years of software development and support experience including analysis, design, & testing. Domain experience within Automotive, Manufacturing and Supply chain Strong proficiency in Python programming, including experience with standard libraries and popular frameworks/libraries (e.g., Pandas, NumPy, FastAPI, Flask, Django, Scikit-learn, TensorFlow/PyTorch - depending on the role). Hands-on experience designing, deploying, and managing resources and services on Google Cloud Platform (GCP). Familiarity with database querying (SQL) and understanding of database concepts. Understanding of cloud architecture principles, including scalability, reliability, and security. Proven experience working effectively within an Agile development or operations team (e.g., Scrum, Kanban). Experience using incident tracking and project management tools (e.g., Jira, ServiceNow, Azure DevOps). Excellent verbal and written communication skills, with the ability to explain technical issues clearly to both technical and non-technical audiences. Excellent teamwork, written and verbal communication, and organizational skills are essential, ability to solve complex problems in a global environment Ability to multi-task effectively and prioritize work based on business impact and urgency Nice-to-Have Skills: GCP certifications (e.g., Associate Cloud Engineer, Professional Cloud DevOps Engineer, Professional Cloud Architect). Experience with other cloud providers (AWS, Azure). Experience with containerization (Docker) and orchestration (Kubernetes). Experience with database administration (e.g., PostgreSQL, MySQL). Familiarity with security best practices and tools in a cloud environment (DevSecOps). Experience with serverless technologies beyond Cloud Functions/Run. Contribution to open-source projects. Design, implement, and manage scalable, secure, and reliable infrastructure on Google Cloud Platform (GCP) using Infrastructure as Code (IaC) principles, primarily with Terraform. Develop and manage APIs or backend services in Python deployed on GCP services like Cloud Run Function, App Engine, or GKE. Build and maintain robust CI/CD pipelines (e.g., using Cloud Build, Jenkins, GitHub) to enable frequent and reliable application deployments. Work closely with software development teams to understand application requirements and translate them into cloud-native solutions on GCP. Implement and manage monitoring, logging, and alerting solutions (e.g., Cloud Monitoring, Prometheus, Grafana, Cloud Logging) to ensure system health and performance. Implement and enforce security best practices within the GCP environment (e.g., IAM policies, network security groups, security scanning). Troubleshoot and resolve production issues across various services (Applications) and infrastructure components (GCP). Work closely with product manager and business stakeholders to understand the business needs and associated systems requirements to meet customization required in SaaS Solution. Run and protect the SaaS Solution in AWS Environment and troubleshoots production issues. Active participant in all team agile ceremonies, manage the daily deliverables in Rally with proper user story and acceptance criteria. Provides input to product governance communications.

Job Title: Professional Data Science Trainer (Industry Expert - ML & AI) Location: Remote / Hybrid / Onsite (Flexible) Employment Type: Part-Time / Freelance / Guest Faculty Experience Required: 2+ years in Data Science (MNC experience preferred) About the Role: We are looking for a passionate and experienced Data Science Professional to join us as a Trainer & Mentor , guiding aspiring data scientists toward industry-readiness. As a working expert from an MNC, your practical insights and technical mastery in Advanced Machine Learning , Deep Learning , and AI will shape the next generation of talent. Stay up to date with the latest trends and technologies in data science and incorporate them into training programs This role is focused on career-based learning techniques where you’ll help students bridge the gap between academic concepts and real-world applications through structured guidance, live instruction, and project mentorship. Key Responsibilities: Conduct live, interactive sessions on: Advanced Machine Learning algorithms (Ensemble methods, Feature Engineering, Model Deployment) Deep Learning (CNNs, RNNs, Transformers, Computer Vision, NLP, etc.) Industry-standard tools (Python, TensorFlow, PyTorch, Scikit-learn, MLflow, etc.) Design and deliver career-focused learning paths aligned with real-world data science job roles. Assign, evaluate, and guide capstone projects that simulate real-life AI challenges. Assist students in developing industry-relevant portfolios to compete in the AI talent market. Provide mentorship , including interview guidance, resume reviews, and career roadmap planning. Stay current with industry trends and update curriculum accordingly. Requirements: Currently working as a Data Scientist / ML Engineer / AI Specialist in a reputed MNC. Minimum 2 years of hands-on experience in data science projects and tools. Strong expertise in ML/DL frameworks , cloud ML environments (AWS, GCP, Azure), and version control systems. Prior teaching/mentoring experience is a strong plus. Excellent communication skills and a passion for teaching. Ability to simplify complex concepts for students with varied backgrounds. Preferred Qualifications: Bachelor's in Computer Science, Data Science, AI/ML, or related fields. Contribution to open-source projects , published papers , or technical blogs . Certifications in AI/ML (e.g., AWS ML Specialty, TensorFlow Developer). Apply Now to help shape future AI talent with your real-world expertise. Job Types: Full-time, Part-time Benefits: Flexible schedule Schedule: Day shift Work Location: In person

Responsibilities We are seeking a highly skilled and motivated AI/ML Developer to join our dynamic team. The ideal candidate will have a strong background in machine learning, natural language processing (NLP), and deep learning, with a proven ability to develop and deploy AI/ML solutions. This role requires a deep understanding of AI/ML concepts, excellent programming skills, and the ability to work collaboratively in a fast-paced environment. Qualifications Design, develop, and implement AI/ML models and solutions. Collaborate with cross-functional teams to identify and solve complex business problems using AI/ML techniques. Develop and maintain machine learning pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment. Conduct experiments, analyze results, and iterate on models to improve performance. Stay up-to-date with the latest advancements in AI/ML, including new algorithms, techniques, and tools. Write clean, well-documented, and testable code. Deploy and monitor AI/ML models in production environments. Contribute to the development of AI/ML best practices and standards. Skills Minimum 3 years of experience in AI/ML development. Proficiency in Python and Go (Golang) programming languages. Programming Languages: Python, Go (Golang) Strong experience with machine Learning Frameworks: PyTorch, TensorFlow (optional), Keras (optional) Solid understanding of NLP concepts and techniques. Experience with data manipulation and analysis tools (e.g., Pandas, NumPy). Experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus. Experience with machine learning algorithms (e.g., regression, classification, clustering, etc.). Version Control: Git Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. Job Type: Full-time Pay: ₹300,000.00 - ₹700,000.00 per year Benefits: Paid sick time Paid time off Work from home Location Type: In-person Schedule: Day shift Work Location: In person Speak with the employer +91 9176760030

Become our next FutureStarter Are you ready to make an impact? ZF is looking for talented individuals to join our team. As a FutureStarter, you’ll have the opportunity to shape the future of mobility. Join us and be part of something extraordinary! AI Research Scientist Country/Region: IN Location: Chennai, TN, IN, 600116 Req ID 79888 | GEC Chennai, India, ZF Commercial Vehicle Control Systems India Limited AI Research Scientist About the Team: ZF COE Team is effectively communicate complex technical concepts related to AI, ML, DL, and RL to both technical and non-technical audiences. This might involve presenting research findings at conferences or writing papers for academic journals. What you can look forward to as AI Research Scientist (m/f/d): Conduct cutting-edge research to identify and develop novel AI/ML methodologies, including Deep Learning (DL) and Reinforcement Learning (RL). Design and conduct experiments to test hypotheses, validate new approaches, and compare the effectiveness of different ML algorithms. Analyze data to uncover hidden patterns and relationships that can inform the development of new AI techniques. Stay at the forefront of the field by keeping abreast of the latest advancements in algorithms, tools, and theoretical frameworks. This might involve researching areas like interpretability of machine learning models or efficient training methods for deep neural networks. Prototype and explore the potential of advanced machine learning models, including deep learning architectures like convolutional neural networks (CNNs) or recurrent neural networks (RNNs). Contribute to the development of fundamental algorithms and frameworks that can be applied to various machine learning problems. This may involve improving existing algorithms or exploring entirely new approaches. Focus on theoretical aspects of model design, such as improving model efficiency, reducing bias, or achieving explainability in complex models. Document research methodologies, experimental procedures, and theoretical contributions for future reference and knowledge sharing within the research community. Contribute to the development of the research team's long-term research goals and strategies. Your profile as AI Research Scientist (m/f/d): Master's degree in Mathematics, Computer Science or other related technical fields. Phd is good to have. 8+ years of experience in research development, with a strong understanding of data structures and algorithms. 5+ years of experience building and deploying machine learning models in production. Proven experience with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn. Experience with distributed computing systems and large-scale data processing & Excellent communication and collaboration skills. Contribution to invention disclosure process & A strong publication record in top machine learning conferences or journals. Why should you choose ZF Group in India? Innovative Environment: ZF is at the forefront of technological advancements, offering a dynamic and innovative work environment that encourages creativity and growth. Diverse and Inclusive Culture: ZF fosters a diverse and inclusive workplace where all employees are valued and respected, promoting a culture of collaboration and mutual support. Career Development: ZF is committed to the professional growth of its employees, offering extensive training programs, career development opportunities, and a clear path for advancement. Global Presence: As a part of a global leader in driveline and chassis technology, ZF provides opportunities to work on international projects and collaborate with teams worldwide. Sustainability Focus: ZF is dedicated to sustainability and environmental responsibility, actively working towards creating eco-friendly solutions and reducing its carbon footprint. Employee Well-being: ZF prioritizes the well-being of its employees, providing comprehensive health and wellness programs, flexible work arrangements, and a supportive work-life balance. Be part of our ZF team as AI Research Scientist and apply now! Contact Sowmya Nagarathinam What does DEI (Diversity, Equity, Inclusion) mean for ZF as a company? At ZF, we continuously strive to build and maintain a culture where inclusiveness is lived and diversity is valued. We actively seek ways to remove barriers so that all our employees can rise to their full potential. We aim to embed this vision in our legacy through how we operate and build our products as we shape the future of mobility. Find out how we work at ZF: Job Segment: Research Scientist, R&D, Computer Science, Scientist, Science, Research, Technology

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Google Cloud Platform Architecture Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working with various technologies such as deep learning, neural networks, chatbots, and image processing to create innovative applications that meet user needs and business objectives. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate knowledge sharing and mentoring within the team to enhance overall performance. - Evaluate and implement new technologies and methodologies to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Platform Architecture. - Strong understanding of cloud computing principles and architecture. - Experience with AI and machine learning frameworks such as TensorFlow or PyTorch. - Familiarity with data processing and storage solutions, including BigQuery and Cloud Storage. - Ability to design and implement scalable and secure cloud-based applications. Additional Information: - The candidate should have minimum 5 years of experience in Google Cloud Platform Architecture. - This position is based in Chennai. - A 15 years full time education is required. 15 years full time education

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. As the Lead AI/ML Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and AI solutions that address complex business challenges. You will lead a team of engineers collaborating with cross-functional teams to drive the successful deployment of AI initiatives. Your expertise will be crucial in shaping our AI strategy and ensuring the delivery of high-quality, scalable solutions. Key Responsibilities Lead the design and development of machine learning models and AI solutions to solve business problems. Select appropriate machine learning or deep learning models based on problem context and data availability. Develop, train, test, and validate models using state-of-the-art methodologies and frameworks. Collaborate with analytics, developers and domain experts to acquire, clean, and preprocess large datasets. Engineer features and performs exploratory data analysis to ensure data quality and model readiness. Containerize models (Docker/Kubernetes), implement monitoring (Prometheus/Grafana), and automate pipelines (MLflow/Kubeflow). Implement models into production environments, ensuring robustness, scalability, and maintainability. Develop and maintain CI/CD pipelines for seamless model integration and deployment. Monitor and evaluate model performance post-deployment and iterate based on feedback and performance metrics. Document model architecture, development processes, and performance evaluations thoroughly. Share insights and technical know-how with team members to foster a culture of continuous learning and improvement. Research & Innovation: Stay ahead of AI trends (LLMs, generative AI) and advocate for ethical AI practices. Analyze large datasets to extract insights and improve model performance. Ensure compliance with data privacy and security regulations in all AI/ML initiatives. Qualifications Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. Proven experience (5+ years) in AI/ML engineering, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java, and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques. Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) About Athenahealth Here’s our vision: To create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. What’s unique about our locations? From an historic, 19th century arsenal to a converted, landmark power plant, all of athenahealth’s offices were carefully chosen to represent our innovative spirit and promote the most positive and productive work environment for our teams. Our 10 offices across the United States and India — plus numerous remote employees — all work to modernize the healthcare experience, together. Our Company Culture Might Be Our Best Feature. We don't take ourselves too seriously. But our work? That’s another story. athenahealth develops and implements products and services that support US healthcare: It’s our chance to create healthier futures for ourselves, for our family and friends, for everyone. Our vibrant and talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our goal. We continue to expand our workforce with amazing people who bring diverse backgrounds, experiences, and perspectives at every level, and foster an environment where every athenista feels comfortable bringing their best selves to work. Our size makes a difference, too: We are small enough that your individual contributions will stand out — but large enough to grow your career with our resources and established business stability. Giving back is integral to our culture. Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future. As part of the evolution of athenahealth’s Corporate Social Responsibility (CSR) program, we’ve selected nonprofit partners that align with our purpose and let us foster long-term partnerships for charitable giving, employee volunteerism, insight sharing, collaboration, and cross-team engagement. What can we do for you? Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs. In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. And we provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation. 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We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and deployment of advanced AI systems. You will work on cutting-edge machine learning models, natural language processing, computer vision, and AI infrastructure to solve real-world problems and drive innovation across our products and services. Key Responsibilities: Design, develop, and deploy scalable AI/ML models for production environments. Lead end-to-end AI project lifecycles from data collection and preprocessing to model training, evaluation, and deployment. Collaborate with cross-functional teams including data scientists, software engineers, and product managers. Optimize model performance and ensure robustness, fairness, and explainability. Stay current with the latest research and advancements in AI and machine learning. Mentor junior engineers and contribute to building a strong AI engineering culture. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred). 5+ years of experience in AI/ML engineering with a strong portfolio of deployed models. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc. Experience with cloud platforms (AWS, Azure) and MLOps tools. Strong understanding of data structures, algorithms, and software engineering principles. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with LLMs, RAG, or agentic AI (Crew AI) systems. Familiarity with vector databases, prompt engineering, and AI safety practices. Contributions to open-source AI projects or published research papers. Experience with real-time inference systems and edge AI.

Job Description: Full-Stack Developer – Mobile & Web (Firebase + AWS + AI + Real-Time UI) Position Details Job Title: Full-Stack Developer – Mobile & Web (Firebase + AWS + AI + Real-Time UI) Department: Product & Engineering Employment Type: Full-Time (Independent Contractor every 3 month will review ) Work Setup: Fully Remote - Work Form Home Preferred Start Date: ASAP Contract Duration: Ongoing (Reviewed Quarterly) Salary: Negotiable Based on Experience Bonuses: Performance-Based (Assessed Quarterly) Equipment: Developer to use their own development-capable machine Working Hours: Full-time with preferred core hours 9:00 AM – 5:00 PM AEST (negotiable) Interview Process Rounds of Interview: 2 Duties & Responsibilities Collaborate closely with founders on multiple startup products from MVP to scale Design and develop mobile and web applications with integrated e-commerce features Build real-time, high-performance UIs with minimal latency Integrate AI/ML tools, music APIs, and real-time chat/matching systems Implement and manage backend cloud infrastructure using Firebase and AWS Ensure all projects and updates are reviewed and approved by Rhys Magno before execution Must-Have Technical Skills Cloud Services: Firebase (Firestore, Auth, Functions, FCM) AWS (Lambda, API Gateway, EC2, S3, Cognito) Mobile Development: Flutter or React Native Web Development: React.js / Next.js AI/ML Integration: MediaPipe, TensorFlow Lite, OpenAI APIs Other Skills: Real-time interactivity and responsive design OAuth, social SDKs, media sharing Strong problem-solving mindset with a can-do, solution-oriented approach UI/UX experience with apps similar to Tinder, TikTok, and Figma Current Projects Raver – The Social App for Ravers & Festival-Goers Tinder + Clubhouse + TikTok hybrid Real-time chat, group events, swipe UI, and notifications Figma Design AI Dance Scoring System Real-time movement scoring via MediaPipe/TensorFlow Leaderboards, TikTok sharing, and music-beat sync Kandy Store – Custom Rave Wristband Builder Virtual bead/bracelet builder with drag-and-drop UI E-commerce integration with Shopify or custom checkout Social & Music Integration Login via Google, Facebook, Apple Spotify/Apple Music playback TikTok/Instagram sharing for media and designs Employment Type : Full-time Reason for Hiring: Build and scale multiple startup products with a dedicated long-term developer Employment Status: Independent contractor (reviewed every 3 months, hours flexible upon mutual agreement) Interested applicants can send their CVs to People@techosoft.com.au Job Type: Full-time Benefits: Cell phone reimbursement Flexible schedule Leave encashment Paid sick time Paid time off Work from home Schedule: Day shift Monday to Friday Morning shift Supplemental Pay: Quarterly bonus

About Company, Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters Job Posting Title: AI Solution Engineer What does a AI Solution Engineer do? As an AI Solution Engineer at, you will be responsible for developing, deploying, and implementing advanced AI-enabled applications for our highly sophisticated systems, ensuring compliance with security standards and delivering innovative and efficient solutions within a secure environment. Self-discipline and a strong desire to build applications with high integrity are essential for success in this role. What will you do: Research and Innovation : Stay updated with the latest AI technologies, tools, and trends to continuously improve and innovate //'s data conversion processes. Documentation : Maintain comprehensive documentation of AI solutions, methodologies, and deployment processes. Design and Develop AI Models : Implement AI solutions focused on automating and enhancing the core data conversion processes. Data Handling : Work with large datasets, ensuring the integrity and security of sensitivity information during the conversion process. Secure Environment Compliance : Develop and deploy AI solutions in accordance with security protocols, ensuring all processes meet compliance standards. Collaboration : Work closely with cross-functional teams including data scientists, software engineers, and business analysts to create integrated AI solutions. Testing and Validation : Conduct rigorous testing and validation of AI models to ensure accuracy and reliability. Performance Optimization : Continuously monitor and optimize AI models for efficiency and performance improvements. Perform application scoring and data aggregation What you will need to have: Programming Skills : Proficiency in programming languages such as Python, JS/NodeJS, and .NET Framework/Core C#. Machine Learning Frameworks : Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch, Keras, or Scikit-Learn. Experience in selecting and implementing appropriate algorithms for specific tasks is highly valuable. Data Handling and Processing : Experience with data manipulation and analysis using tools like Pandas or NumPy. Understanding how to preprocess data, handle unstructured data, and create datasets for training models is crucial. Deep Learning : Knowledge of deep learning concepts and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and transformers, especially for tasks related to image recognition, natural language processing, and more. Software Development Practices : Familiarity with software development methodologies, version control systems (like Git), and DevOps principles to ensure smooth integration and deployment of AI models. Cloud Computing : Experience with cloud-based services and platforms (e.g., AWS, Google Cloud, Azure) that provide tools for machine learning and AI deployment. System Design : Ability to design scalable AI systems, including understanding architecture patterns, APIs, and microservices for integrating AI models into broader applications. Problem-Solving : Strong analytical and problem-solving skills to identify the best AI solutions for various challenges and to troubleshoot issues that arise during implementation. Collaboration and Communication : Experience in working collaboratively with cross-functional teams, including data scientists, software engineers, and business stakeholders, to align AI solutions with business objectives. Hands-on Experience : 5-7+ years of technical implementation experience What would be great to have: Experience in the Financial Services Industry and an understanding of relevant compliance standards and regulations. Certification in AI/ML or relevant technologies. Experience with reporting tools like Splunk, SSRS, Cognos, and Power BI Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.

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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. AI Engineer is tasked with the design, development, and deployment of advanced generative AI models and systems. This position requires close collaboration with data scientists, product managers, and other stakeholders to integrate generative AI solutions into existing products and develop new innovative features. Proficiency in the Agentic AI framework is vital for coordinating multiple autonomous AI agents to accomplish complex tasks. Primary Responsibilities: Implement Generative AI Models: Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing data or inputs Data Processing: Collaborate with stakeholders to preprocess, analyze, and interpret extensive datasets Model Deployment: Deploy generative AI models into production environments, ensuring scalability and robustness Optimization: Conduct model testing, validation, and optimization to enhance performance Integration: Work with cross-functional teams to seamlessly integrate generative AI solutions into products Research: Stay current with the latest advancements in generative AI technologies and practices Agentic AI Framework: Utilize the Agentic AI framework to coordinate multiple AI agents for the completion of complex tasks Mentorship: Provide mentorship to junior team members and offer technical guidance 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: Bachelor's or Master's degree in Computer Science, Engineering, or a related field 5+ years of experience in software engineering with a focus on AI/ML Experience with data preprocessing and analysis Knowledge of the Agentic AI framework and its application in AI systems Proficiency in machine learning frameworks such as TensorFlow and PyTorch Solid programming skills in Python, Java, or C++ Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) Proven excellent problem-solving abilities and algorithmic thinking Proven solid communication and teamwork skills Preferred Qualifications: Experience with data processing Knowledge of version control systems like Git Understanding of Generative AI, associated technologies and frameworks like RAG, agents etc. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: WHAT Business Knowledge: Capable of understanding the requirements for the entire project (not just own features) Capable of working closely with PMG during the design phase to drill down into detailed nuances of the requirements Has the ability and confidence to question the motivation behind certain requirements and work with PMG to refine them. Design: Can design and implement machine learning models and algorithms Can articulate and evaluate pros/cons of different AI/ML approaches Can generate cost estimates for model training and deployment Coding/Testing: Builds and optimizes machine learning pipelines Knows & brings in external ML frameworks and libraries Consistently avoids common pitfalls in model development and deployment HOW Quality: Solves cross-functional problems using data-driven approaches Identifies impacts/side effects of models outside of immediate scope of work Identifies cross-module issues related to data integration and model performance Identifies problems predictively using data analysis Productivity: Capable of working on multiple AI/ML projects simultaneously and context switching between them Process: Enforces process standards for model development and deployment. Independence: Acts independently to determine methods and procedures on new or special assignments Prioritizes large tasks and projects effectively Agility: Release Planning: Works with the PO to do high-level release commitment and estimation Works with PO on defining stories of appropriate size for model development Agile Maturity: Able to drive the team to achieve a high level of accomplishment on the committed stories for each iteration Shows Agile leadership qualities and leads by example WITH Team Work: Capable of working with development teams and identifying the right division of technical responsibility based on skill sets. Capable of working with external teams (e.g., Support, PO, etc.) that have significantly different technical skill sets and managing the discussions based on their needs Initiative: Capable of creating innovative AI/ML solutions that may include changes to requirements to create a better solution Capable of thinking outside-the-box to view the system as it should be rather than only how it is Proactively generates a continual stream of ideas and pushes to review and advance ideas if they make sense Takes initiative to learn how AI/ML technology is evolving outside the organization Takes initiative to learn how the system can be improved for the customers Should make problems open new doors for innovations Communication: Communicates complex AI/ML concepts internally with ease Accountability: Well versed in all areas of the AI/ML stack (data preprocessing, model training, evaluation, deployment, etc.) and aware of all components in play Leadership: Disagree without being disagreeable Use conflict as a way to drill deeper and arrive at better decisions Frequent mentorship Builds ad-hoc cross-department teams for specific projects or problems Can achieve broad scope 'buy in' across project teams and across departments Takes calculated risks 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: B.E/B.Tech/MCA/MSc/MTech (Minimum 16 years of formal education, Correspondence courses are not relevant) 5+ years of experience working on multiple layers of technology Experience deploying and maintaining ML models in production Experience in Agile teams Experience with one or more data-oriented workflow orchestration frameworks (Airflow, KubeFlow etc.) Working experience or good knowledge of cloud platforms (e.g., Azure, AWS, OCI) Ability to design, implement, and maintain CI/CD pipelines for MLOps and DevOps function Familiarity with traditional software monitoring, scaling, and quality management (QMS) Knowledge of model versioning and deployment using tools like MLflow, DVC, or similar platforms Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc.) Demonstrate hands-on knowledge of OpenSource adoption and use cases Good understanding of Data/Information security Proficient in Data Structures, ML Algorithms, and ML lifecycle Product/Project/Program Related Tech Stack: Machine Learning Frameworks: Scikit-learn, TensorFlow, PyTorch Programming Languages: Python, R, Java Data Processing: Pandas, NumPy, Spark Visualization: Matplotlib, Seaborn, Plotly Familiarity with model versioning tools (MLFlow, etc.) Cloud Services: Azure ML, AWS SageMaker, Google Cloud AI GenAI: OpenAI, Langchain, RAG etc. Demonstrate good knowledge in Engineering Practices Demonstrates excellent problem-solving skills Proven excellent verbal, written, and interpersonal communication skills At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

We are looking for a passionate and curious AI/ML Engineer (Fresher) to join our growing engineering team. This is a unique opportunity to work on real-world machine learning applications and contribute to building cutting-edge AI solutions. Your Responsibilities: • Assist in designing, developing, and training machine learning models using structured and unstructured data • Collect, clean, and preprocess large datasets for model building • Perform exploratory data analysis and statistical modeling • Collaborate with senior data scientists and engineers to build scalable AI systems • Run experiments, tune hyperparameters, and evaluate model performance using industry-standard metrics • Document models, processes, and experiment results clearly and consistently • Support in integrating AI/ML models into production environments • Stay updated with the latest trends and techniques in machine learning, deep learning, and AI • Participate in code reviews, sprint planning, and product discussions • Follow best practices in software development, version control, and model reproducibility Skill Sets / Experience We Require: • Strong understanding of machine learning fundamentals (regression, classification, clustering, etc.) • Hands-on experience with Python and ML libraries such as scikit-learn, pandas, NumPy • Basic familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras • Knowledge of data preprocessing, feature engineering, and model validation techniques • Understanding of probability, statistics, and linear algebra • Familiarity with tools like Jupyter, Git, and cloud-based notebooks • Problem-solving mindset and eagerness to learn • Good communication skills and the ability to work in a team • Internship/project experience in AI/ML is a plus Education: • B.Tech / M.Tech / M.Sc in Computer Science, Data Science, Artificial Intelligence, or related field • Relevant certifications in AI/ML (Coursera, edX, etc.) are a plus About Us: TechAhead is a global digital transformation company with a strong presence in the USA and India. We specialize in AI-first product design and bespoke development solutions. With over 15 years of expertise, we've partnered with Fortune 500 companies and global brands to drive innovation and deliver excellence. Join us to shape the future of intelligent technology and contribute to impactful, world-class AI solutions. Show more Show less

Kolkata,West Bengal,India Job ID 763067 Join our Team About this opportunity: We are seeking a highly skilled, hands-on AI Architect - GenAI to lead the design and implementation of production-grade, cloud-native AI and NLP solutions that drive business value and enhance decision-making processes. The ideal candidate will have a robust background in machine learning, generative AI, and the architecture of scalable production systems. As an AI Architect, you will play a key role in shaping the direction of advanced AI technologies and leading teams in the development of cutting-edge solutions. What you will do: Architect and design AI and NLP solutions to address complex business challenges and support strategic decision-making. Lead the design and development of scalable machine learning models and applications using Python, Spark, NoSQL databases, and other advanced technologies. Spearhead the integration of Generative AI techniques in production systems to deliver innovative solutions such as chatbots, automated document generation, and workflow optimization. Guide teams in conducting comprehensive data analysis and exploration to extract actionable insights from large datasets, ensuring these findings are communicated effectively to stakeholders. Collaborate with cross-functional teams, including software engineers and data engineers, to integrate AI models into production environments, ensuring scalability, reliability, and performance. Stay at the forefront of advancements in AI, NLP, and Generative AI, incorporating emerging methodologies into existing models and developing new algorithms to solve complex challenges. Provide thought leadership on best practices for AI model architecture, deployment, and continuous optimization. Ensure that AI solutions are built with scalability, reliability, and compliance in mind. The skills you bring: Minimum of 10+ years of experience in AI, machine learning, or a similar role, with a proven track record of delivering AI-driven solutions. Hands-on experience in designing and implementing end-to-end GenAI-based solutions, particularly in chatbots, document generation, workflow automation, and other generative use cases. Expertise in Python programming and extensive experience with AI frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and vector databases. Deep understanding and experience with distributed data processing using Spark. Proven experience in architecting, deploying, and optimizing machine learning models in production environments at scale. Expertise in working with open-source Generative AI models (e.g., GPT-4, Mistral, Code-Llama, StarCoder) and applying them to real-world use cases. Expertise in designing cloud-native architectures and microservices for AI/ML applications. Why join Ericsson? At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply?

Effling Kids is an early learning edtech platform focused on replacing traditional notebooks with interactive, AI-driven digital learning experiences. We're on a mission to make learning fun, effective, and sustainable for kids aged 3–7. Role: We are looking for passionate and curious freshers or interns eager to gain real-world experience in Artificial Intelligence and Machine Learning . You’ll get the unique opportunity to learn and contribute under the direct mentorship of AI Scientist Dr. Abdul . What you'll learn & do: Assist in training and evaluating AI/ML models Research child handwriting and drawing patterns Work on real-world datasets and labeling tasks Collaborate with the tech and product team Learn how AI is applied in early education apps Contribute ideas and improvements to the Effling AI system Requirements Strong interest in AI/ML or data science Basic understanding of Python, ML algorithms, or data processing Curious, self-driven, and eager to learn Excellent communication skills Final-year students or recent graduates are welcome Bonus if you have: Experience with TensorFlow, PyTorch, or OpenCV Worked on personal AI/ML projects Exposure to kids’ education or UX Duration: 3–6 months (with possibility of full-time offer based on performance) How to Apply Send your resume and any relevant project links to info.effling@gmail.com Show more Show less

Indore, Madhya Pradesh, India;Hyderabad, Telangana, India Qualification : Define and manage analytics strategy. Provides analytical expertise in the process of model development, refining, and implementation in a variety of analytics problems. Oversees team data scientists, de-bottlenecking issues related to project execution. Work closely with business and product management teams to develop and implement analytics solutions. Collaborate with data engineers & architects to implement and deploy scalable solutions. Communicate results to diverse technical and non-technical audiences. Design accurate and scalable prediction algorithms Generate actionable insights for business improvements. Ability to understand business requirements. Use case derivation and solution creation from structured/unstructured data. Storytelling, Business Communication, and Documentation Actively drive a culture of knowledge-building and sharing within the team Encourage continuous innovation and out-of-the-box thinking. Skills Required : R, Python, TensorFlow, PyTorch, Deep Learning Algorithms, Image/Video Analytics Role : R, Python, Scikit-Learn, TensorFlow, PyTorch Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning and Model performance metrics. MLOps, Data Pipeline, Data engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). Experience : 12 to 16 years Job Reference Number : 11688

Indore, Madhya Pradesh, India;Noida, Uttar Pradesh, India;Gurgaon, Haryana, India;Bangalore, Karnataka, India;Pune, Maharashtra, India Qualification : Hands-on experience working with SAS to Python conversions. Strong mathematics and statistics skills. Skilled in AI-specific utilities like ChatGPT, Hugging Face Transformers, etc. Ability to understand business requirements. Use case derivation and solution creation from structured/unstructured data Storytelling, Business Communication, and Documentation Programming Skills – SAS, Python, Scikit-Learn, TensorFlow, PyTorch, Keras Exploratory Data Analysis Machine Learning and Deep Learning Algorithms Model building, Hyperparameter tuning, and Model performance metrics MLOps, Data Pipeline, Data Engineering Statistics Knowledge (Probability Distributions, Hypothesis Testing) Time series modeling, Forecasting, Image/Video Analytics, and Natural Language Processing (NLP). ML services from Clouds such as AWS, GCP, Azure, and Databricks Optional - Databricks, Big Data -Basic knowledge of Spark, Hive Skills Required : Python, SAS, Machine Learning Role : Responsilbe for SAS to python code conversion. Acquire skills required for building Machine learning models and deploy them for production. Feature Engineering, EDA, Pipeline creation, Model training, and hyperparameter tuning with structured and unstructured data sets. skills Develop and deploy cloud-based applications, including LLM/GenAI, into production. Experience : 7 to 10 years Job Reference Number : 13070

Job Summary: We are hiring a skilled Python Developer with expertise in ML, NLP, or computer vision. The ideal candidate should be proficient in Python and libraries like TensorFlow, PyTorch, and OpenCV, with experience in data handling, cloud platforms, and MLOps tools. Experience with LLMs or Generative AI is a plus. Required Skills: Proficiency in Python and libraries such as TensorFlow, PyTorch, Scikit-learn, OpenCV. Strong understanding of ML algorithms, NLP, and/or computer vision. Experience with data manipulation and cleaning using Pandas, NumPy. Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps tools (Docker, MLflow). Understanding of AI model evaluation metrics and real-time inference. Preferred Qualifications: Bachelor’s or Master’s in Computer Science, AI, or related fields. Experience with large language models (LLMs), Transformers, or Generative AI. Knowledge of data privacy, security, and model fairness principles. Job Type: Full-time Location Type: In-person Schedule: Day shift Monday to Friday Experience: Python: 5 years (Required) AI/ML: 4 years (Required) Work Location: In person

1. Python Backend Development: Flask(more importantly)or Django frameworks RESTful API design and development (fast API) Database interactions (SQL/NoSQL) Vector DB - Chroma DB Authentication and authorization 2. AI/ML Basics: Understanding of basic machine learning algorithms (ex. linear regression, classification, logistic regression, decision tree, clustering, KNN) Deep learning (DL) - Neural network, ANN, CNN, Frameworks like TensorFlow or PyTorch Model training and evaluation 3. Project Experience: Any AI/ML projects they’ve worked on Challenges faced and how they were overcome Job Types: Full-time, Permanent Pay: ₹9,271.17 - ₹12,000.00 per month Benefits: Health insurance Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Morning shift Work Location: In person Speak with the employer +91 9685896876