1576 Keras Jobs - Page 16

Job Title: Manager – Senior ML Engineer (Full Stack) About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Job Summary : The Manager – Senior ML Engineer (Full Stack) will be responsible for leading the development and integration of Generative AI (GenAI) technologies, writing code modules, and managing full-stack development projects. The ideal candidate will have a strong background in Python and a proven track record in machine learning and full-stack development. Required Skills Strong proficiency in Python programming. Experience with data analysis and visualization libraries like Pandas, NumPy, Matplotlib, and Seaborn. Proven experience in machine learning and AI development. Experience with Generative AI (GenAI) development and integration. Full-stack development experience, including front-end and back-end technologies. Proficiency in web development frameworks such as Django or Flask. Knowledge of machine learning frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn. Experience with RESTful APIs and web services integration. Familiarity with SQL and NoSQL databases, such as PostgreSQL, MySQL, MongoDB, or Redis. Experience with cloud platforms like AWS, Azure, or Google Cloud. Knowledge of DevOps practices and tools like Docker, Kubernetes, Jenkins, and Git. Proficiency in writing unit tests and using debugging tools. Effective communication and interpersonal skills. Ability to work in a fast-paced, dynamic environment. Knowledge of software development best practices and methodologies. Key Responsibilities Lead the development and integration of Generative AI (GenAI) technologies to enhance our product offerings. Write, review, and maintain code modules, ensuring high-quality and efficient code. Oversee full-stack development projects, ensuring seamless integration and optimal performance. Collaborate with cross-functional teams to define project requirements, scope, and deliverables. Manage and mentor a team of developers and engineers, providing guidance and support to achieve project goals. Stay updated with the latest industry trends and technologies to drive innovation within the team. Ensure compliance with best practices in software development, security, and data privacy. Troubleshoot and resolve technical issues in a timely manner. Qualifications Bachelor’s degree in computer science or an Engineering degree Minimum of 7 years of experience in machine learning engineering or a similar role. Demonstrated experience in managing technology projects from inception to completion. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Software Engineer II Are you interested in bringing your technical expertise to projects? Are you a detail-oriented paralegal with a 'can do' attitude? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the Role This position performs moderate research, design, and software development assignments within a specific software functional area or product line. Responsibilities Design, train, and optimize machine learning models for various applications such as predictive analytics, natural language processing (NLP), computer vision, or recommendation systems. Deploy ML models into production environments using cloud platforms (AWS) or on-premises infrastructure. Collect, preprocess, and analyze large datasets to extract meaningful insights. Collaborate with data engineers to build robust data pipelines for model training and evaluation. Develop innovative algorithms to solve complex problems Continuously improve model performance through hyperparameter tuning, feature engineering, and experimentation. Work closely with architects, engineering managers, product managers, software developers, and domain experts to integrate AI/ML solutions into existing products and workflows. Translate business requirements into technical specifications and actionable AI strategies. Stay updated with the latest advancements in AI/ML research and tools. Experiment with state-of-the-art techniques and frameworks to enhance solution capabilities. Monitor deployed models for accuracy, bias, and drift over time. Implement mechanisms for retraining and updating models as needed. Requirements Proficiency in programming languages: Python, Java. Must have worked in Generative AI and proficient in any LLM Model, LangChain Experience with AI/ML libraries and frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, etc. Strong understanding of statistical analysis, deep learning, and neural networks. Familiarity with big data tools: Hadoop, Spark, or Apache Flink. Hands-on experience with cloud services such as AWS ECS, EKS, EC2 etc Excellent problem-solving and analytical thinking abilities. Strong communication skills to explain complex concepts to non-technical stakeholders. Ability to work collaboratively in a fast-paced, agile environment. Experience with NLP for text representation, Information Extraction, semantic extraction techniques, data structures and modeling Knowledge of DevOps practices for ML (MLOps). Must have worked in Generative AI and proficient in any LLM Model Familiarity with containerization tools like Docker and Kubernetes. Contributions to open-source AI/ML projects or publications in relevant conferences/journals. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive Health Insurance: Covers you, your immediate family, and parents. Enhanced Health Insurance Options: Competitive rates negotiated by the company. Group Life Insurance: Ensuring financial security for your loved ones. Group Accident Insurance: Extra protection for accidental death and permanent disablement. Flexible Working Arrangement: Achieve a harmonious work-life balance. Employee Assistance Program: Access support for personal and work-related challenges. Medical Screening: Your well-being is a top priority. Modern Family Benefits: Maternity, paternity, and adoption support. Long-Service Awards: Recognizing dedication and commitment. New Baby Gift: Celebrating the joy of parenthood. Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates. Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays. Free Transport pick up and drop from the home -office - home (applies in Chennai) About the Business LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Company: Global Technology organization Key Skills: NLP, Large Language Model, Python, AWS Cloud, Keras, Tensorflow, Chatbots Roles and Responsibilities: Design, develop, and maintain sophisticated NLP and Generative AI applications using Python. Implement back-end APIs to deliver Python services to front-end applications utilizing FastAPI. Write clean, efficient, and modular code adhering to best practices and coding standards. Stay updated with emerging trends and technologies in Generative AI. Optimize application performance and ensure scalability. Familiarity with software engineering best practices such as version control, testing, and code reviews. Collaborate with cross-functional teams to architect and design distributed systems that are highly available and security-focused. Implement solutions on cloud platforms (AWS, Azure) and develop serverless architectures. Utilize Continuous Integration/Deployment tools (Terraform, Git Lab Runners) and application monitoring tools (Splunk, CloudWatch). Skills Required: Must-Have: Experience in Natural Language Processing (NLP), strong proficiency in Python, hands-on expertise with Large Language Models (LLMs), and practical knowledge of AWS Cloud services. Nice-to-Have: Familiarity with Keras and TensorFlow frameworks, along with experience in designing or deploying chatbot solutions. Education: Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field.

Job Summary – As an Artificial Intelligence Engineer, you will play a crucial role in designing, developing, and deploying AI systems. Your work will involve translating complex data into AI-driven solutions that can operate autonomously in real-time environments. You'll be responsible for writing code, deploying models to production, and continuously monitoring and updating them as needed. Years of experience needed – 8+ years of experience Technical Skills: ∙ Algorithm Development: Design and implement algorithms, neural networks, and other machine learning techniques to simulate human intelligence process ∙ Model Creation: Develop and validate algorithms, neural networks, and other machine learning models. ∙ Generative AI: Specialize in generative AI, which involves creating AI systems that autonomously generate content such as text, images, and music. ∙ Machine Learning: Leverage your expertise in machine learning to train models on large datasets and optimize them for creative content generation. ∙ Natural Language Processing (NLP): Apply NLP techniques for text generation projects, including text parsing, sentiment analysis, and the use of transformer models like GPT. ∙ Data Management : Handle data pre-processing, augmentation, and synthetic data generation. Hard Skills: ∙ Advanced Programming: Proficiency in programming languages such as Python, along with AI-centric libraries like TensorFlow, PyTorch, and Keras. ∙ Generative Models: Expertise in generative models, including Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). ∙ NLP: Familiarity with NLP techniques for text generation. ∙ Data Management: Knowledge of data pre-processing, augmentation, and synthetic data generation. Hard Skills: ∙ Creativity: Ability to think creatively and solve complex, creative challenges using AI. ∙ Collaboration: Work effectively with researchers, engineers, and other team members. ∙ Continuous Learning : Stay updated with evolving AI technologies and applications. Certifications Needed: ∙Bachelor’s or master’s degree in computer science, Artificial Intelligence, or related fields. ∙Proven experience in machine learning, generative AI,

Primary Function As a Senior Data Scientist, you will: Work collaboratively with the engineering and product teams. Communicate and articulate complex issues & technologies easily to stakeholders at different levels. Think through problems and drive solutions from inception to shipment. Keeping abreast of research trends in the field of Deep Learning/vision/NLP. Looking for someone with hands-on experience in Computer Vision — it's a must have experience for this role. Qualification & Competency: Bachelors or above in Data Science, Mathematics, Statistics, Econometrics, Computer Science or a related field. 3-6 years of experience in building complete ML products ; from the problem analysis and data selection to their production deployment and monitoring for progressive enhancements and drifts from business impact. Theoretical knowledge and hands-on experience in deep learning/computer vision/NLP Ability to rapidly prototype and evaluate algorithms. Experience on working with text only and multimodel SLMs will be a big plus. This involves finetuning and building robust eval pipelines specific to use cases. Experience with deep learning frameworks such as Keras, PyTorch and TensorFlow. Good programming skills is a must, especially skills relevant to building robust ML models. Domain experience in Fintech is preferred, but not mandatory. Experience of publishing in top-tier conferences and journals will be considered a plus.

Role**: Digital : Data Science Required Technical Skill Set: Digital : Data Science Desired Experience Range: 03 - 08 yrs Notice Period: Immediate to 90Days only Location of Requirement: Hyderabad/Bangalore/Pune/Chennai/Kolkata We are currently planning to do a Virtual Interview Job Description: Must-Have** (Ideally should not be more than 3-5) Proficiency in Python or R for data analysis and modeling. Strong understanding of machine learning algorithms (regression, classification, clustering, etc.). Experience with SQL and working with relational databases. Hands-on experience with data wrangling, feature engineering, and model evaluation techniques. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Strong understanding of statistics and probability. Ability to translate business problems into analytical solutions. Good-to-Have Experience with deep learning frameworks (TensorFlow, Keras, PyTorch). Knowledge of big data platforms (Spark, Hadoop, Databricks). Experience deploying models using MLflow, Docker, or cloud platforms (AWS, Azure, GCP). Familiarity with NLP, computer vision, or time series forecasting. Exposure to MLOps practices for model lifecycle management. Understanding of data privacy and governance concepts. SN Responsibility of / Expectations from the Role 1 Work with stakeholders to identify business requirements and opportunities for leveraging data. Design and implement advanced analytics models using machine learning and statistical techniques. Clean, process, and analyze large datasets from various sources (structured & unstructured). Develop, test, and deploy predictive models and data pipelines. Create data visualizations, dashboards, and reports to communicate insights to non-technical users. Collaborate with data engineers, analysts, and product teams to integrate models into production environments. Monitor and continuously improve model performance. Stay up-to-date with latest research, tools, and techniques in data science and AI.

Quidich Innovation Labs is a global company headquartered in Mumbai, India that pioneers in customized technology solutions for Sports Broadcast. From the outset, we have believed in the power of the story that sport tells as a tool to bring people together; and that this story best reaches fans, through the way it is broadcast. Building on this thinking, we have created various technology tools over the past five years and deployed them at tournaments such as the Indian Premier League, ICC Men’s T20 World Cup, ICC Women’s World Cup, and Men's FIH Hockey World Cup, to name a few. Role As a DL Intern at Quidich, you will embark on an exciting journey in the world of sports technology and play a vital role in assisting the technology team to work on global projects. You will be a member of our Product Team and solve real-world problems through a process of prototyping, implementation, measurement, and iteration. You will be assisting in researching the latest developments in computer vision/deep-learning/machine learning, and understanding what works best for our users. You will also be assisting in developing models, techniques, and tools and integrating new capabilities into Quidich’s AI platforms. Responsibilities Working with the research team to develop, evaluate, and optimize various state-of-the-art algorithms. Helping in developing new frameworks/features, and improving performance and stability for the full product development life cycle. Designing, building, and maintaining high-performance, reusable, scalable, and reliable code. Carrying out the necessary documentation, reviews, evaluation metrics, bug reports, and quality tests for the product and the developed components/features. Demonstrating best presentation skills for showcasing results, team spirit, and effective communication. Learning and constantly updating yourself on the emerging trends of technology and applying them in projects for better results. Qualifications, Skills, and Competencies Pursuing a degree in Computer Science or related field. Strong understanding of Computer Vision, Deep Learning, and related technologies. Knowledge of NN frameworks such as TensorFlow, Keras, Caffe, or Torch. Solid grasp in C++, oop concepts, data structures and algorithms. Experience with Github, Docker or AWS is a plus. Location: Mumbai Reporting To : Product Lead Joining Date : Immediate Interested candidates, please send your CV to careers@quidich.com

AI / Machine Learning / Data Science part time Work from Home (Any where in world) Warm Greetings from Excel Online Classes, We are a team of industry professionals running an institute that provides comprehensive online IT training, technical support, and development services. We are currently seeking AI / Machine Learning / Data Science Experts who are passionate about technology and can collaborate with us in their free time. If you're enthusiastic, committed, and ready to share your expertise, we would love to work with you! Were hiring for the following services: Online Training Online Development Online Technical Support Conducting Online Interviews Corporate Training Proof of Concept (POC) Projects Research & Development (R&D) We are looking for immediate joiners who can contribute in any of the above areas. If you're interested, please fill out the form using the link below: https://docs.google.com/forms/d/e/1FAIpQLSdvut0tujgMbBIQSc6M7qldtcjv8oL1ob5lBc2AlJNRAgD3Cw/viewform We also welcome referrals! If you know someone—friends, colleagues, or connections—who might be interested in: Teaching, developing, or providing tech support online Sharing domain knowledge (e.g., Banking, Insurance, etc.) Teaching foreign languages (e.g., Spanish, German, etc.) Learning or brushing up on technologies to clear interviews quickly Upskilling in new tools or frameworks for career growth Please feel free to forward this opportunity to them. For any queries, feel free to contact us at: excel.onlineclasses@gmail.com Thank you & Best Regards, Team Excel Online Classes excel.onlineclasses@gmail.com

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. What you’ll do Lead and conduct independent validations of AI/ML models(traditional and Generative AI) across multiple financial domains, including consumer and commercial credit risk, marketing, fraud, and AML. Ensure the accuracy, reliability, and compliance of models by overseeing and conducting thorough validations. Drive AI validation projects by conceptualizing, planning, and executing them to ensure their successful implementation and alignment with organizational goals. Engage with various departments to ensure cohesive strategy implementation, sharing insights, and fostering a collaborative work environment. Contribute expertise to the development of policies that guide AI practices and model risk management, ensuring regulatory compliance and ethical standards. Stay updated on the evolving regulatory landscape around AI and ML Mentor and develop team members, fostering a culture of collaboration and building a robust, knowledgeable team. Utilize Google Cloud Platform(GCP) to enhance efficiency by automating workflows and improving process integration. Contribute to the design and execution of model testing and monitoring processes. What Experience You Need 6+ years of model validation or Model Risk Management experience preferably within the banking and financial services domain, with a deep understanding of industry-specific requirements and challenges. Demonstrated expertise in AI techniques(Machine learning, natural language processing, deep learning) and their applications. Experience with ML libraries such as TensorFlow, Keras, PyTorch, Scikit- learn or equivalent required. Minimum of 1 year of experience in supervising projects and team members, demonstrating ability to successfully manage multiple projects and stakeholders simultaneously Foundational knowledge of Generative AI, with relevant coursework. Must stay updated on latest trends and regulations in this field. Advanced level programming in Python and SQL Strong interpersonal skills with the ability to lead teams, manage client relationships, and collaborate effectively with partners. Experience collaborating with partners, stakeholders and teams across multiple geographies and levels of the organization In-depth knowledge of regulations surrounding AI in the banking industry and practical experience in credit risk and fraud models. Ability to articulate complex concepts clearly and effectively to diverse stakeholders, ensuring understanding across various levels of technical proficiency. Master’s degree or higher in Statistics, Mathematics, Engineering, Economics, Data Science or other relevant discipline, demonstrating a high level of expertise and commitment to the field. What could set you apart Experience in developing, validating or implementing Gen AI models Prior regulatory modeling development experience including ECL, Stress testing, CECL/IFRS9 First hand experience on cloud based platforms including GCP & AWS Excellent communication and presentation skills We offer a hybrid work setting, comprehensive compensation and healthcare packages, attractive paid time off, and organizational growth potential through our online learning platform with guided career tracks. Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference! Who is Equifax? At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life’s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best. Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Red & White Education Pvt Ltd , founded in 2008, is Gujarat's leading educational institute. Accredited by NSDC and ISO, we focus on Integrity, Student-Centricity, Innovation, and Unity. Our goal is to equip students with industry-relevant skills and ensure they are employable globally. Join us for a successful career path. Salary - 30K CTC TO 35K CTC Job Description: Faculties guide students, deliver course materials, conduct lectures, assess performance, and provide mentorship. Strong communication skills and a commitment to supporting students are essential. Key Responsibilities Deliver high-quality lectures on AI, Machine Learning, and Data Science. Design and update course materials, assignments, and projects. Guide students on hands-on projects, real-world applications, and research work. Provide mentorship and support for student learning and career development. Stay updated with the latest trends and advancements in AI/ML and Data Science. Conduct assessments, evaluate student progress, and provide feedback. Participate in curriculum development and improvements. Skills & Tools Core Skills: ML, Deep Learning, NLP, Computer Vision, Business Intelligence, AI Model Development, Business Analysis. Programming: Python, SQL (Must), Pandas, NumPy, Excel. ML & AI Tools: Scikit-learn (Must), XGBoost, LightGBM, TensorFlow, PyTorch (Must), Keras, Hugging Face. Data Visualization: Tableau, Power BI (Must), Matplotlib, Seaborn, Plotly. NLP & CV: Transformers, BERT, GPT, OpenCV, YOLO, Detectron2. Advanced AI: Transfer Learning, Generative AI, Business Case Studies. Education & Experience Requirements Bachelor's/Master’s/Ph.D. in Computer Science, AI, Data Science, or a related field. Minimum 1+ years of teaching or industry experience in AI/ML and Data Science. Hands-on experience with Python, SQL, TensorFlow, PyTorch, and other AI/ML tools. Practical exposure to real-world AI applications, model deployment, and business analytics. For further information, please feel free to contact 7862813693 us via email at career@rnwmultimedia.edu.in

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes Position Summary The Technical Lead with 6-10 years of experience will oversee the development, maintenance, and optimization of software applications. This role requires a deep understanding of both front-end and back-end technologies with MERN stack and leadership skills to mentor and guide a team of developers. The ideal candidate should be passionate about technology, thrive in a collaborative environment, and has a proven track record of delivering high-quality software solutions. Responsibilities Lead the design, development, and deployment of large scale software applications using the MERN stack. Collaborate with product managers, architects and other stakeholders to understand requirements and translate into technical specifications. Provide technical guidance and mentor the team. Create and own High-Level Design, Low Level Design for each of the Software applications. Perform code reviews, maintain code quality, standard and provide constructive feedback to team members. Troubleshoot complex technical issues. Manage project timelines and deliverables. Learn, acquire, and get certified on new technologies as demanded by project Any exposure and experience in AI, ML and Data Science will be of additional advantage. Required Skills Strong proficiency in design, development, maintenance, and support of software applications with proven experience in Node.js React.js (having knowledge of Angular will be an additional advantage) RDMS (Oracle/SQL Server/Postgres) SQL NoSQL databases like Mongo Proficiency in front-end technologies such as HTML, CSS and JavaScript. Experience in Open-Source Technologies. Preferable: Knowledge of database management tools like Liquibase / Hibernate Well-versed in Devops (e.g. Azure DevOps) and cloud PaaS. Cloud-based (AWS/Azure) deployment of models, performance monitoring and troubleshooting Familiarity with Docker and Git Good understanding of coding standards, ability to debug. Excellent written and oral communication skills Ability to work effectively in a cross-functional team and proven ability to lead and mentor a team. Added advantage: Exposure to AI/ML frameworks in Keras, Pytorch, libraries scikit-learn Knowledge and practical application of statistical analysis and mathematical modeling concepts and principles POSITION SPECIFICATIONS Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses

Senior AI/ML Engineer - R01551337 Senior Data Science Lead Primary Skills Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio Job requirements JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. ________________________________________ Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions • Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. • Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. • Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization • Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. • Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. • Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research • Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. • Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. • Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact • Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. • Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building • Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. • Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. ________________________________________

Job Title: AI Trainer / Instructor Location: [On-site/Remote/Hybrid] Employment Type: [Full-Time / Part-Time / Freelance] Experience Required: 2–5 years (preferably in AI teaching/training) Job Summary: We are looking for an experienced and passionate AI Trainer to deliver high-quality training sessions on Artificial Intelligence, Machine Learning, and related technologies. The ideal candidate should have a strong background in AI concepts and hands-on experience, along with a flair for teaching and engaging with learners at different levels. Key Responsibilities: Design and deliver structured training sessions on AI, ML, NLP, Deep Learning, and related tools & technologies Create training materials: slides, assignments, case studies, and assessments Conduct both live and recorded sessions for students or corporate teams Adapt teaching methods based on audience: students, professionals, or corporate learners Provide mentorship, answer queries, and support learners throughout the training journey Stay updated with the latest trends, tools, and frameworks in AI & Data Science Assess learner progress and provide feedback for improvement Collaborate with the L&D or academic team for curriculum planning and enhancement Proficiency with no-code/low-code AI tools such as: Make, Zapier, Latenode, n8n Experience with Conversational AI & automation platforms: Botpress, Voiceflow, Vapi Familiarity with AI video & avatar tools: HeyGen, D-ID, Kling Ability to build or work with: Custom GPTs, Agentic AI flows, GHL (Go High Level) Required Skills & Qualifications: Bachelor's/Master’s degree in Computer Science, Data Science, AI, or a related field Minimum 1 years of experience delivering AI/ML training sessions Strong command over Python, machine learning libraries (Scikit-learn, TensorFlow, Keras, etc.) Experience with real-world AI projects or case studies Excellent communication and presentation skills Ability to simplify complex technical topics for a diverse audience Familiarity with tools like Jupyter, Google Colab, GitHub, and learning management systems Preferred: Experience with online training platforms like Zoom, MS Teams, or Google Meet Prior work in academic institutes or EdTech platforms Certifications in AI/ML (e.g., Coursera, Udacity, Google AI, etc.) Job Type: Freelance Contract length: 3 months Pay: From ₹5,000.00 per month Schedule: Day shift Morning shift Work Location: In person

We are looking for Associate Division Manager for one of our Major Client .This role includes designing and building AI/ML products at scale to improve customer Understanding & Sentiment analysis, recommend customer requirements, recommend optimal inputs, Improve efficiency of Process. This role will collaborate with product owners and business owners Key Responsibilities: - Leading a team of junior and experienced data scientists Lead and participate in end-to-end ML projects deployments that require feasibility analysis, design, development, validation, and application of state-of-the art data science solutions. Push the state of the art in terms of the application of data mining, visualization, predictive modelling, statistics, trend analysis, and other data analysis techniques to solve complex business problems including lead classification, recommender systems, product life-cycle modelling, Design Optimization problems, Product cost & weigh optimization problems.Functional Responsibilities :- Leverage and enhance applications utilizing NLP, LLM, OCR, image based models and Deep Learning Neural networks for use cases including text mining, speech and object recognition Identify future development needs, advance new emerging ML and AI technology, and set the strategy for the data science team Cultivate a product-centric, results-driven data science organization Write production ready code and deploy real time ML models; expose ML outputs through APIs Partner with data/ML engineers and vendor partners for input data pipes development and ML models automation Provide leadership to establish world-class ML lifecycle management processes.Qualification :- MTech / BE / BTech / MSc in CS Exp:- Over 10 years of Applied Machine learning experience in the fields of Machine Learning, Statistical Modelling, Predictive Modelling, Text Mining, Natural Language Processing (NLP), LLM, OCR, Image based models, Deep learning Expert Python Programmer: SQL, C#, extremely proficient with the SciPy stack (e.g. numpy, pandas, sci-kit learn, matplotlib) Proficiency in work with open source deep learning platforms like TensorFlow, Keras, Pytorch Knowledge of the Big Data Ecosystem: (Apache Spark, Hadoop, Hive, EMR, MapReduce) Proficient in Cloud Technologies and Service (Azure Databricks, ADF, Databricks MLflow).Functional Competencies :- A demonstrated ability to mentor junior data scientists and proven experience in collaborative work environments with external customers Proficient in communicating technical findings to non-technical stakeholders Holding routine peer code review of ML work done by the team Experience in leading and / or collaborating with small to midsized teams Experienced in building scalable / highly available distribute systems in production Experienced in ML lifecycle mgmt. and ML Ops tools & frameworks.Job type:- FTE Location:- Chennai Job Type: Contractual / Temporary Pay: ₹2,633,123.63 - ₹3,063,602.96 per year Schedule: Monday to Friday Education: Bachelor's (Preferred) Work Location: In person

Gen AI + Python with ML Fresher :- Job Summary: We are seeking curious and motivated freshers or recent graduates to join our team as Gen AI + Python with ML Trainees . This is an entry-level opportunity to gain hands-on experience working on cutting-edge technologies such as Generative AI, Large Language Models (LLMs), Python development , and Machine Learning . You'll work alongside experienced AI engineers and contribute to real-world AI solutions. Key Responsibilities: Learn and apply Generative AI concepts like text generation, embeddings, image generation, prompt engineering, etc. Assist in building, testing, and fine-tuning LLMs (e.g., GPT, BERT, LLaMA) using Python. Write efficient Python code for ML pipelines, model training, and evaluation. Perform data preprocessing, feature engineering, and exploratory data analysis (EDA). Support the development of AI-powered applications using frameworks like LangChain , Hugging Face , or OpenAI APIs . Document model behavior, limitations, and performance metrics. Collaborate in R&D projects to explore and experiment with new GenAI capabilities. Required Skills & Qualifications: Bachelor’s degree in Computer Science, AI, Data Science, Engineering, or related fields . Solid understanding of Python programming and basic data structures. Familiarity with machine learning algorithms (e.g., regression, classification, clustering). Exposure to data science libraries: NumPy, Pandas, Scikit-learn, Matplotlib . Interest in Generative AI , LLMs , and transformer-based architectures . Strong problem-solving attitude and willingness to learn rapidly. Preferred (Not Mandatory): Projects or coursework involving ChatGPT, DALL·E, BERT, GPT-3/4 , etc. Knowledge of NLP , Deep Learning (TensorFlow/Keras/PyTorch) . Experience with APIs like OpenAI, Hugging Face Transformers, Cohere , etc. Familiarity with tools such as Jupyter Notebooks, GitHub, VS Code. Understanding of prompt engineering and tokenization.

Artificial Intelligence & Machine Learning Intern (Remote | 3 Months) Company: INLIGHN TECH Location: Remote Duration: 3 Months Stipend (Top Performers): ₹15,000 Perks: Certificate | Letter of Recommendation | Hands-on Training About INLIGHN TECH INLIGHN TECH empowers students and recent graduates through hands-on, project-based internships. Our AI & ML Internship is tailored to develop your expertise in building intelligent systems using real-world datasets and machine learning algorithms. Role Overview As an AI & ML Intern , you’ll work on projects involving model development, data preprocessing, and algorithm implementation. You'll gain practical experience applying artificial intelligence concepts to solve real business problems. Key Responsibilities Collect and preprocess structured and unstructured data Implement supervised and unsupervised machine learning algorithms Work on deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance and tune hyperparameters Develop intelligent solutions and predictive systems Collaborate with peers on AI-driven projects Requirements Pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field Proficient in Python and libraries such as Pandas, NumPy, Scikit-learn Familiar with machine learning and deep learning concepts Knowledge of TensorFlow, Keras, or PyTorch is a plus Strong mathematical and analytical thinking Enthusiastic about AI/ML innovations and eager to learn What You’ll Gain Real-world experience developing AI and ML models Internship Completion Certificate Letter of Recommendation for high-performing interns Portfolio of AI/ML projects for career building Potential full-time offer based on performance

About the job Position : AI & Machine Learning Trainer Location : Hyderabad, Telangana Duration : 40 working days Compensation : ₹40,000–₹60,000 per month Job description : ExcelR is seeking experienced AI and Machine Learning trainers to deliver a comprehensive AI and Machine Learning curriculum. The training program will span 40 working days, with daily classes of 5–6 hours, tentatively from August 20, 2025, to October 21, 2025. The role involves teaching theoretical concepts, guiding hands-on projects, and mentoring students on real-world AI/ML applications. Skills Required : Foundational ML : Logistic Regression, SVM, Decision Trees, Ensemble Methods (Bagging, Random Forests), Boosting (Gradient Boosting, AdaBoost, XGBoost, LightGBM), PCA, Clustering (K-means, Hierarchical, DBSCAN), Market Basket Analysis, and Recommendation Systems. Deep Learning : ANN, CNN, RNN, LSTM, GRU, Transformers, GANs, Autoencoders, Diffusion Models (Stable Diffusion), and LLMs (e.g., GPT, BERT). Data Preprocessing : Standardization, normalization, encoding, train-test split, cross-validation, regularization (Lasso, Ridge, ElasticNet), and feature engineering. Generative AI : Text-to-image/audio/video generation, chatbots, sentiment analysis, and Retrieval-Augmented Generation (RAG) with FAISS. Web & Cloud Deployment : Building and deploying RESTful APIs using Flask/FastAPI, cloud computing with AWS (EC2, S3, Lambda) and Azure (Blob, App Services), and Streamlit for project deployment. Mathematics : Calculus, vector algebra, probability. Prompt Engineering : Zero-shot, few-shot, prompt tuning, and designing effective prompts. Case Studies : Hands-on projects (e.g., Bangalore housing prices, Breast cancer classification, Sales dataset). Qualifications : Education : Bachelor’s/Master’s in Computer Science, AI, ML, or related fields. Experience : 3–5 years in Machine Learning, Deep Learning, and Full Stack AI development, with hands-on experience in: Python and libraries like scikit-learn, TensorFlow, Keras, PyTorch. Generative AI (GANs, Diffusion Models, LLMs like GPT-2, LLaMA). Web development (Flask, FastAPI) and cloud deployment (AWS EC2, Azure). Tools like Hugging Face, FAISS, LangChain, and Streamlit. Teaching Skills : Prior teaching/training experience preferred, with the ability to explain complex topics (e.g., attention mechanisms, PCA) to undergraduate students. Certifications : Relevant certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional ML Engineer) are a plus. Logistics : Local Candidates (Hyderabad) : College bus transportation and lunch provided at the college hostel. Non-Local Candidates : Accommodation and food provided at the college hostel.

Location: Remote (with full-day availability) Company: Baoiam – India’s Fastest Growing EdTech for Practical Skill-Based Learning Type: Contractual | 12 Months | Individual Contributor Role 🧠 About the Role: Baoiam is looking for a passionate and experienced Data Science Expert to join us as a full-time Trainer & Mentor for our newly launched 6-Month Data Science Career Program . You will be responsible for teaching, mentoring, evaluating, and preparing students for real-world careers in Data Science. This is a contract-based role with complete teaching responsibility for multiple student batches. ✅ Key Responsibilities: Deliver live, interactive classes (online) as per the structured 6-month curriculum Teach Python, ML, Statistics, Deep Learning, NLP, and project execution Evaluate assignments, capstone projects, and performance Conduct weekly doubt sessions, assessments, and mock interviews Provide 1:1 mentorship and learning feedback to students Ensure student engagement and high satisfaction levels Collaborate with the program team for quality improvement and curriculum updates 🎓 Requirements: Bachelor's or Master’s degree in Computer Science, Data Science, or a related field Minimum 3+ years of experience in Data Science / Machine Learning Prior experience teaching or mentoring (bootcamps, online courses, or edtech preferred) Proficient in Python, NumPy, Pandas, Scikit-learn, TensorFlow/Keras, SQL, Matplotlib, Seaborn Strong command of statistics, model evaluation techniques, and real-world use cases Comfortable teaching diverse learners in live sessions Strong communication and presentation skills 💻 Mandatory Setup: Personal Laptop/Desktop with high processing capacity High-speed internet connection (at least 50 Mbps) Professional teaching environment (quiet, well-lit setup) Must be available full-day (Monday to Saturday) to handle multiple sessions and mentoring needs 📦 What We Offer: Monthly retainer (negotiable based on experience) Performance bonuses & long-term engagement opportunities Exposure to national-level learners & fast-growing EdTech environment Opportunity to co-build India’s most accessible data career program Recognition across Baoiam platforms as a lead mentor 🚀 How to Apply: If you're passionate about teaching and shaping careers in data science, we'd love to hear from you. 📩 Send your CV, LinkedIn profile, and teaching sample (if available) to: hr @baoiam.com Or apply through LinkedIn.

E2M is not your regular digital marketing firm. We're an equal opportunity provider, founded on strong business ethics and driven by more than 300 experienced professionals. Our client base is made up of digital agencies that rely on us to solve bandwidth issues, reduce overheads, and boost profitability. We need driven, tech-savvy professionals like you to help us deliver next-gen solutions. If you're someone who dreams big and thrives in innovation, E2M has a place for you. Role Overview: As an Python Developer – AI Implementation Specialist/AI Executor , you will be responsible for designing and integrating AI capabilities into production systems using Python and key ML libraries. This role requires a strong backend development foundation and a proven track record of deploying AI use cases using tools like TensorFlow, Keras, or OpenAI APIs. You'll work cross-functionally to deliver scalable AI-driven solutions. Key Responsibilities: · Design and develop backend solutions using Python, with a focus on AI-driven features. · Implement and integrate AI/ML models using tools like OpenAI, Hugging Face, or Lang Chain. · Use core Python libraries (NumPy, Pandas, TensorFlow, Keras) to process data, train, or implement models. · Translate business needs into AI use cases and deliver working solutions. · Collaborate with product, engineering, and data teams to define integration workflows. · Develop REST APIs and micro services to deploy AI components within applications. · Maintain and optimize AI systems for scalability, performance, and reliability. · Keep pace with advancements in the AI/ML landscape and evaluate tools for continuous improvement. Required Skills & Qualifications: · Minimum 5+ years of overall experience, including at least 1 year in AI/ML integration and strong hands-on expertise in Python for backend development. · Proficiency in libraries such as NumPy, Pandas, TensorFlow, and Keras · Practical exposure to AI platforms/APIs (e.g., OpenAI, LangChain, Hugging Face) · Solid understanding of REST APIs, microservices, and integration practices · Ability to work independently in a remote setup with strong communication and ownership · Excellent problem-solving and debugging capabilities

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 Responsibility 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 Graduation Degree Experience with cloud platforms, particularly AWS AI services (Bedrock, SageMaker) and/or Azure OpenAI ServiceProven experience in developing and deploying LLM-powered applications in production Experience with foundation models and generative AI platforms (e.g. OpenAI, Anthropic, open-source models) Experience in building RAG solutions with vector databases (e.g. pgvector, Pinecone, OpenSearch) Familiarity with MLOps practices (deployment, monitoring, model lifecycle) Good understanding of modern NLP techniques (e.g. transformers, embeddings, prompt engineering) Solid understanding with Machine Learning Frameworks and Libraries (e.g., PyTorch, scikit-learn, TensorFlow, MLflow, Keras, XGBoost) Proven solid programming skills in Python, PySpark Proven exposure to AI orchestration frameworks such as LangChain, LangGraph and others Proven excellent communication and collaboration 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.

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Data collection and preparationCollect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data Model developmentDesign and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters Model evaluationEvaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text Model deploymentDeploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AIShould have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional : Primary skills:Technology-Artificial Intelligence -Generative AI-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision Technology-Machine Learning-Generative AI

Required Experience:- 3-6 years Location:- Hyderabad (onsite/WFO), Relocation is acceptable Machine Learning Engineer Inturai is looking for a machine learning engineer with Digital Signal Processing skills to build efficient, data-driven AI/ML models that advance our real time RF data analysis capabilities. The candidate should be well versed in RF, Digital Signal Processing (DSP) and ML programming, with the ability to confidently assess, analyze, and organize large amounts of real time data. The candidate should also be able to execute tests and optimize Inturais machine learning models and algorithms. Objectives of this role Design and develop machine learning algorithms and deep learning applications and systems for Inturai Solve complex problems with real time digital signal data processing (DSP), and optimize existing machine learning libraries and frameworks. Collaborate with product, data scientists, architects, engineers, and SME in integrating and deploying models in production systems. Identify differences in data distribution, operating environment that could potentially affect model performance in real-world applications. Test and Ensure algorithms generate predictable outcomes. Stay up to date with developments in the machine learning industry. Responsibilities Study and transform DSP, data science prototypes and apply appropriate machine learning algorithms and tools to create ML models. Run machine learning tests and experiments, and document findings and results Train/retrain, and monitor machine learning systems and models as needed Construct optimized data pipelines to feed machine learning models Consult with managers, SMEs to determine and refine machine learning objectives Extend existing machine learning libraries and frameworks Skills and qualifications Computer programming skills together with understanding of Signal Processing (RF and WiFi Channel State Information). Good math with a deep understanding of probability, statistics, and ML algorithms. In-depth knowledge of machine learning frameworks based on like Keras/Tensorflow/SenseFi/PyTorch. Experience in working with RF/WiFi enabled SBC hardware. Familiarity with data structures, data modeling, and software architecture Impeccable analytical and problem-solving skills Preferred qualifications Bachelors degree (or equivalent) in Electronics, Computer Science, or related field. Proven experience as a machine learning engineer or similar role Experience with Tensor, Python, Java, and R based implementations Experience with Digital signal processing Experience in building and consuming APIs Excellent communication and collaboration skills General knowledge of building machine learning systems Innovative mind with a passion for continuous learning

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. Worley Digital At Worley, our Digital team collaborates closely with the business to deliver efficient, technology-enabled sustainable solutions, that will be transformational for Worley. This team, aptly named Worley Digital, is currently seeking talented individuals who would be working on a wide range of latest technologies, including solutions based on Automation, Generative AI. What drives us at Worley Digital? It’s our shared passion for pushing the boundaries of technological innovation, embracing best practices, and propelling Worley to the forefront of industry advancements. If you’re naturally curious, open-minded, and a self-motivated learner - one who’s ready to invest time and effort to stay future-ready - then Worley could be your ideal workplace. Major Accountabilities of Position: AI/ML Architect must have Defining, designing, and delivering ML architecture patterns operable in native and hybrid cloud architectures. Collaborate with Enterprise Architecture, Info Security, DevOps and Data Intelligence team to implement ML Solutions. Defining data augmentation pipelines for unstructured data like Documents, Engineering drawings etc. Build new network architecture in CNN/LSTM/RCNN or Develop wrapper for pre-trained models. Conduct feasibility of transfer learning fitment for given problem. Research, analyze, recommend, and select technical approaches to address challenging development and data integration problems related to ML Model training and deployment in Enterprise Applications. Perform research activities to identify emerging technologies (Generative AI) and trends that may affect the Data Science/ ML life-cycle management in enterprise application portfolio. Design and deploy AI/ML models in real-world environments and integrating AI/ML using Cloud native or hybrid technologies into large-scale enterprise applications .Demonstrated experience developing best practices and recommendations around tools/technologies for ML life-cycle capabilities such as Data collection, Data preparation, Feature Engineering, Model Management, ML Ops, Model Deployment approaches and Model monitoring and tuning. Knowledge / Experience / Competencies Required IT Skills & Experience (Priority wise): Hands-on programming and architecture capabilities in Python. Demonstrated technical expertise around architecting solutions around AI, ML, deep learning and Generative AI related technologies. Experience in implementing and deploying Machine Learning solutions (using various models, such as GPT-4, Lama2, Mistral ai, text embedding ada, Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Topic Modeling, Game Theory etc. ) Understanding of Nvidia Enterprise NEMO Suite. Expertise in popular deep learning frameworks, such as TensorFlow, PyTorch, and Keras, for building, training, and deploying neural network models. Experience in AI solution development with external SaaS products like Azure OCR Experience in the AI/ML components like Azure ML studio, Jupyter Hub, TensorFlow & Sci-Kit Learn Hands-on knowledge of API frameworks. Familiarity with the transformer architecture and its applications in natural language processing (NLP), such as machine translation, text summarization, and question-answering systems. 10. Expertise in designing and implementing CNNs for computer vision tasks, such as image classification, object detection, and semantic segmentation. Hands on experience in RDBMS, NoSQL, big data stores like: Elastic, Cassandra. Experience with open source software Experience using the cognitive APIs machine learning studios on cloud. Hands-on knowledge of image processing with deep learning ( CNN,RNN,LSTM,GAN) Familiarity with GPU computing and tools like CUDA and cu DNN to accelerate deep learning computations and reduce training times. Understanding of complete AI/ML project life cycle Understanding of data structures, data modelling and software architecture Good understanding of containerization and experience working with Docker, AKS. People Skills Clear and concise communication is vital for explaining complex machine learning concepts to non-technical stakeholders, presenting results, and collaborating with cross-functional teams. Ability to work independently and as part of a team. Being open to new ideas, embracing change, and adapting to evolving technologies and methodologies are crucial for staying relevant and effective in the rapidly changing field of machine learning. Cooperative mindset, flexibility, and the ability to work effectively in a team. Professional and open communication to all internal and external interfaces. Balancing multiple projects, prioritizing tasks, and meeting deadlines while maintaining a high standard of work requires effective time management and organizational skills. Accurately report to management in a timely and effective manner. Other Skills Outstanding analytical and problem-solving skills Education – Qualifications, Accreditation, Training Master’s in Information Technology / Big Data/Data Science/AI/Computer Science Minimum 4- Maximum 7 year experience as AI/ML Architect on AI and ML projects. Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-WB-Kolkata, IND-MM-Pune, IND-TN-Chennai Job Digital Solutions Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence Duration of Contract 0

Building on our past. Ready for the future Worley is a global professional services company of energy, chemicals and resources experts. We partner with customers to deliver projects and create value over the life of their assets. We’re bridging two worlds, moving towards more sustainable energy sources, while helping to provide the energy, chemicals and resources needed now. The Role As a Data Science Lead with Worley, you will work closely with our existing team to deliver projects for our clients while continuing to develop your skills and experience etc…. Conceptualise, build and manage AI/ML (more focus on unstructured data) platform by evaluating and selecting best in industry AI/ML tools and frameworks Drive and take ownership for developing cognitive solutions for internal stakeholders & external customers. Conduct research in various areas like Explainable AI, Image Segmentation,3D object detections and Statistical Methods Evaluate not only algorithms & models but also available tools & technologies in the market to maximize organizational spend. Utilize the existing frameworks, standards, patterns to create architectural foundation and services necessary for AI/ML applications that scale from multi-user to enterprise class. Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations Analyse marketplace trends - economical, social, cultural and technological - to identify opportunities and create value propositions. Offer a global perspective in stakeholder discussions and when shaping solutions/recommendations IT Skills & Experience Thorough understanding of complete AI/ML project life cycle to establish processes & provide guidance & expert support to the team. Expert knowledge of emerging technologies in Deep Learning and Reinforcement Learning Knowledge of MLOps process for efficient management of the AI/ML projects. Must have lead project execution with other data scientists/ engineers for large and complex data sets Understanding of machine learning algorithms, such as k-NN, GBM, Neural Networks Naive Bayes, SVM, and Decision Forests. Experience in the AI/ML components like Jupyter Hub, Zeppelin Notebook, Azure ML studio, Spark ML lib, TensorFlow, Tensor flow,Keras, Py-Torch and Sci-Kit Learn etc Strong knowledge of deep learning with special focus on CNN/R-CNN/LSTM/Encoder/Transformer architecture Hands-on experience with large networks like Inseption-Resnets,ResNeXT-50. Demonstrated capability using RNNS for text, speech data, generative models Working knowledge of NoSQL (GraphX/Neo4J), Document, Columnar and In-Memory database models Working knowledge of ETL tools and techniques, such as Talend,SAP BI Platform/SSIS or MapReduce etc. Experience in building KPI /storytelling dashboards on visualization tools like Tableau/Zoom data People Skills Professional and open communication to all internal and external interfaces. Ability to communicate clearly and concisely and a flexible mindset to handle a quickly changing culture Strong analytical skills. Industry Specific Experience 10 -18 Years of experience of AI/ML project execution and AI/ML research Education – Qualifications, Accreditation, Training Master or Doctroate degree Computer Science Engineering/Information Technology /Artificial Intelligence Moving forward together We’re committed to building a diverse, inclusive and respectful workplace where everyone feels they belong, can bring themselves, and are heard. We provide equal employment opportunities to all qualified applicants and employees without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by law. We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there’s a path for you here. And there’s no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change. Company Worley Primary Location IND-MM-Navi Mumbai Other Locations IND-KR-Bangalore, IND-MM-Mumbai, IND-MM-Pune, IND-TN-Chennai, IND-GJ-Vadodara, IND-AP-Hyderabad, IND-WB-Kolkata Job Digital Platforms & Data Science Schedule Full-time Employment Type Employee Job Level Experienced Job Posting Jul 4, 2025 Unposting Date Aug 3, 2025 Reporting Manager Title Head of Data Intelligence

Job Description We're seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required Qualifications, Capabilities And Skills Expert in at least one of the following areas: Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve one's skills Preferred Qualification, Capabilities And Skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. ABOUT US