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We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply now » Apply Now Start apply with LinkedIn Please wait... Associate Lead Consultant - SAP Archiving Job Date: May 24, 2025 Job Requisition Id: 60330 Location: Hyderabad, TG, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire SAP Archiving Professionals in the following areas : Design and configuration of SAP Data archiving objects Working with customers to define data archiving strategy Conducting customer workshops around Data Archiving Responsible for several Archiving Objects in all modules such as FI, CO, SD, MM, QM, and PP. Must-Have Skills in SAP DVM, SAP ILM, Sap data archiving Working knowledge on DART extractions and views validations for financial data, Good knowledge of analyzing tables through TAANA, DB02, DB15. Must have knowledge of Archiving information systems (AS-IS) and transactions SARA, SARI, and able to configure physical file paths for archiving and storing the data files. able to schedule batch jobs and monitor. Working knowledge on Retention periods and residence times on each archiving object for preprocessing, archiving, and deletion steps, also, able to recommend retention periods. Good knowledge of Archiving links and ADK with the content server or any other data storage media configuration. Ability to provide complete documentation on the archiving process and user testing and business process documentation. Must have experience archiving SD documents, sales order, deliveries, billing, FI documents and Material documents such as POs, Deliveries, and Invoice documents. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved.

About Workafy: Join Workafy, a freelance marketplace connecting 500,000+ professionals with global opportunities. Work on projects that match your skills, anytime, anywhere. Job Description: Seeking experienced Machine Learning Engineers to help clients build predictive models, train algorithms, and deploy AI solutions. Responsibilities: Develop and optimize ML models using real-world datasets. Perform data preprocessing, training, and evaluation. Collaborate on AI-powered applications and tools. Requirements: Proficiency in Python, TensorFlow, or PyTorch. Strong understanding of ML algorithms and statistics. Experience with model deployment and cloud platforms. Why Join Us? Work on cutting-edge ML projects. Flexible freelance opportunities. Be part of a thriving professional network. Apply now at workafy.com and grow your freelance career as a Machine Learning Engineer!

About You Are you passionate about leveraging artificial intelligence (AI) and machine learning (ML) to help drive product excellence? Do you want to work closely with our experienced team members on tasks ranging from data preprocessing to model development and deployment? Are you ready to gain hands-on experience in AI/ML technologies while working on real-world problems? Prescient is seeking highly motivated AI/ML interns to join our dynamic and growing team in Gurgaon. Do you possess: Knowledge of general AI/ML through coursework, internships or personal projects? Attention to detail, a learning mindset, efficient time-management skills, professionalism and a strong work ethic? If so, consider turning your knowledge and passion for AI/ML into a valuable career at Prescient. About InflexionRx ® (proprietary product of Prescient Healthcare Group) At Prescient, we constantly strive to evolve and maximise the value of intelligence. InflexionRx is our proprietary software platform designed to enhance how our clients interact with the insight we develop, helping them make quicker, more informed and better aligned decisions. About the Opportunity You will be part of a fast-growing PE-backed business that allows high-performing employees to make an impact and contribute to growing the business. You will have the chance to channel your experience into supporting the development of our enterprise software system. Reporting : You will report to a senior member of the software development team within Prescient’s India office Roles and Responsibilities Data Collection and Preprocessing: Collect, clean and preprocess data from various sources for use in ML models Perform exploratory data analysis to gain insights into the dataset and identify patterns Model Development: Assist in the development and implementation of ML algorithms and models Conduct experiments to fine-tune model parameters and optimise performance metrics Collaborate with team members to integrate ML solutions into existing systems Evaluation and Testing: Design and execute tests to evaluate the performance and robustness of ML models Analyse experimental results and provide insights to improve model accuracy and efficiency Required Experience and Skills: As an ideal candidate, you will have: One or more of the following educational degrees: bachelor’s/master’s degree in computer/data science or related field Strong programming skills in Python or any other object-oriented programming language Good to have: Knowledge of transformers, large language models and NLP techniques Familiarity with ML libraries and frameworks such as TensorFlow, PyTorch and scikit-learn Understanding of data structures, algorithms and statistical concepts Knowledge of data manipulation and analysis using tools such as pandas and NumPy Ability to analyse and solve problems with attention to detail Effective communication and teamwork abilities What We Offer Opportunity to learn from experienced professionals and gain valuable industry insights Platform for accelerated professional development and growth with significant levels of on-the-job experience Potential for future full-time employment opportunities based on performance About Prescient Healthcare Group Prescient® is a pharma services firm specialising in dynamic decision support and product and portfolio strategy. We partner with our clients to turn science into value by helping them understand the potential of their molecules, shaping their strategic plans and allowing their decision making to be the biggest differentiating factor in the success of their products. When companies partner with Prescient, the molecules in their hands have a greater potential for success than the same science in the hands of their competitors. Founded in 2007, Prescient is a global firm with a footprint in ten cities across three continents. Our team of nearly 500 experts partners with 27 of the top 30 biopharmaceutical companies, the fastest-growing mid-caps and cutting-edge emerging biotechs, including some of the biggest and most innovative brands. More than 70% of our employees hold advanced life sciences degrees, and our teams deliver an impressive depth of therapeutic, clinical and commercial expertise. Prescient has been a portfolio company of Bridgepoint Development Capital since 2021 and Baird Capital since 2017. For more information, please visit: www.prescienthg.com. We are an equal opportunity employer and fully comply with applicable legislation in all of the geographies in which we operate. Applicants are considered for positions without regard to veteran status, uniformed service member status, race, colour, religion, sex, national origin, age, physical or mental disability, genetic information or any other category protected by applicable national, federal, state or local laws.

We are looking for a passionate and curious Entry-Level AI & Machine Learning Engineer to join our innovative team. You will work on designing, developing, and deploying AI and ML models that drive intelligent features and automation across our products and services, with a focus on object detection, tracking, and reinforcement learning applications. Responsibilities Assist in developing machine learning models and algorithms for object detection, tracking, and reinforcement learning tasks. Analyze and preprocess large datasets, including annotated images and videos, for training and evaluation. Implement and optimize AI/ML models using frameworks such as TensorFlow, PyTorch, or scikit-learn. Collaborate with software engineers and data scientists to integrate models into production systems. Participate in research and experimentation to improve model accuracy, efficiency, and robustness. Document processes and maintain reproducible workflows. Experience Level 0-2 years Requirements Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or related field. Strong foundation in Python and C++ programming for AI/ML development. Basic understanding of machine learning algorithms and data structures. Familiarity with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Knowledge of computer vision techniques, especially object detection and tracking algorithms (e.g., YOLO, SSD, SORT, Deep SORT). Basic understanding of reinforcement learning concepts and algorithms. Knowledge of data preprocessing, feature engineering, and model evaluation techniques. Analytical mindset with strong problem-solving skills. Eagerness to learn and adapt in a fast-paced environment. Qualifications Internship or project experience in AI/ML, computer vision, or reinforcement learning. Understanding of deep learning concepts and neural networks. Experience with cloud platforms (AWS, Azure, GCP) for ML deployment. Familiarity with NLP or other AI subfields is a plus.

Lead Data Scientist Job Description: Lead Data Scientist Location: Chennai Type: Full-Time Reports to: CEO Company Overview: Avivo is a cutting-edge technology startup specializing in developing innovative technology products and professional services, with a strong focus on contract intelligence and contract management. Leveraging thepower of Generative AI and Natural Language Processing (NLP), we aim to revolutionize how organizations handle and manage their contracts, making processes more efficient, compliant, and insightful. Position Overview: We are seeking a highly skilled and experienced Lead Data Scientist to join our dynamic team. The ideal candidate will possess extensive knowledge in data science, deep learning, and natural language processing (NLP), with a solid educational background in data science, mathematics, and statistics. A strong understanding of generative AI and hands-on experience in leading teams is highly desirable. This role requires proficiency in the end-to-end machine learning lifecycle, including data collection, model training, evaluation, and deployment. Knowledge of cloud platforms such as AWS or Azure, experience with Flask, and strong proficiency in Python are essential. The candidate should have 10+ years of relevant experience. Key Responsibilities: Lead and mentor a team of data scientists and machine learning engineers. Design, develop, and implement data science and machine learning solutions to solve complex business problems. Utilize deep learning and NLP techniques to extract insights from large datasets. Oversee the entire machine learning lifecycle, from data collection and preprocessing to model training, evaluation, and deployment. Collaborate with cross-functional teams to integrate machine learning models into production environments. Stay up-to-date with the latest advancements in data science, AI, and generative AI technologies. Ensure the scalability, reliability, and performance of machine learning models and systems. Develop and maintain documentation for data science processes, models, and algorithms. Provide technical leadership and guidance in the adoption of best practices for data science and machine learning. Required Qualifications: Master’s or PhD in Data Science, Mathematics, Statistics, Computer Science, or a related field. 8+ years of experience in data science, with a focus on deep learning and NLP. Proven experience in leading and managing data science teams. Strong proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. Hands-on experience with cloud platforms such as AWS or Azure. Knowledge of Flask or similar web frameworks. Experience with generative AI technologies is a plus. Solid understanding of statistical methods and mathematical concepts. Strong problem-solving skills and the ability to work in a fast-paced environment. Excellent communication and interpersonal skills. Preferred Qualifications: Experience with big data technologies such as Hadoop, Spark, or similar. Knowledge of software development practices, version control (Git), and agile methodologies. Familiarity with data visualization tools and techniques. Benefits: Competitive salary and performance-based bonuses. Flexible work hours and remote work options. Professional development opportunities and continuing education support. Collaborative and inclusive work environment.

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 : Machine Learning Good to have skills : NA Minimum 18 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 solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the advancement of AI technologies within the organization. Roles & Responsibilities: - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. - Engage with multiple teams and responsible for team decisions. - Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems. - Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning. - Analyze and evaluate existing systems to identify areas for improvement and optimization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of various machine learning algorithms and their applications. - Experience with cloud-based AI services and deployment strategies. - Familiarity with programming languages such as Python or R for data analysis and model development. - Knowledge of data preprocessing techniques and tools to ensure data quality. Additional Information: - The candidate should have minimum 18 years of experience in Machine Learning. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education

JLL supports the Whole You, personally and professionally. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally. JLL supports the Whole You, personally and professionally. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology to our clients. We are committed to hiring the best, most talented people in our industry; and we support them through professional growth, flexibility, and personalized benefits to manage life in and outside of work. Whether you’ve got deep experience in commercial real estate, skilled trades, and technology, or you’re looking to apply your relevant experience to a new industry, we empower you to shape a brighter way forward so you can thrive professionally and personally. The Compliance Analyst Specialist: Maintains compliance capabilities while adding dedicated compliance analyst specialist support for: (1) Orbit Data Governance and (2) Asset Management Inventory Governance and File/Edit Document Management Key Responsibilities: GRC Control Controllership Program (GREF GRC Controls) Task: Use data analytics to create a trend analysis on GRC Controls linked to GREF systems and processes. Task: Create a reporting mechanism (dashboard) for compliance effectiveness and monitoring of repeated issues. Task: Identify opportunity areas and create an action plan to minimize the risk of repeated issues and/or identify unmitigated risks (i.e., residual risks). Data Integrity Program (GREF tools) Task: Use data analytics to create trend analysis on ORBIT issues Task: Identify opportunity areas and create action plans to improve productivity and minimize risk of repeated issues. Compliance monitoring and reporting dashboard for regulatory requirements for Data Governance Task: Use data analytics to assess adherence to regulatory requirements (i.e., GDPR, CCPA Internal Policies) Task: Identify opportunity areas and create action plans to mitigate risks and avoid repeated issues. Data Cleaning and Preprocessing for Free Trade Zones (FTZ) Project Remove duplicates and handle missing values from inputs provided by various stakeholders like Tax, accounting, GST, PXT, IT etc. Standardize data formats to enable automation of reports and returns (~110 monthly reports). Exploratory Data Analysis (EDA) for FTZ Project Create visualizations (histograms, scatter plots, box plots) for leadership and Design interactive dashboards using tools like Tableau/Power BI Identify patterns and trends in Import, export, GST benefits etc. Compliance Dashboard Creation and Maintenance for Free Trade Zones (FTZ) and GREF Building Compliance Create regular performance reports and dashboard for compliance metrics Set up automated reporting systems and monitor KPIs Track compliance rates with customs regulations for FTZ Analyze documentation accuracy Monitor restricted goods movement Create compliance reporting dashboards Ad-hoc Analysis and Reporting for Free Trade Zones Project Respond to specific data related business questions Create custom reports based on deep-dive analyses Document Management System (DMS) Administration for FTZ Project Monitor document retention compliance Setting up automated filing systems and managing asset documentation throughout its lifecycle GREF Building Compliance Assurance Program (B-CAP) building repository and reviewing the existing documents across all sites in India Develop, monitor, and report key performance indicators for GREF B-CAP GREF B-CAP testing pre-launch Contingent Worker Cost Monitoring and Reporting Required Skills and Experience: Bachelor’s degree in Computer Science, Information Management, or a related field. Data Management: Proficiency in database systems, data reporting, and data presentation. Must ensure data integrity and accessibility. Analytics: Strong analytical skills with the ability to identify trends and derive actionable insights from complex datasets. Visualization: Expertise in data visualization tools to create clear, impactful reports and dashboards. Business Acumen: Ability to understand business objectives and translate data findings into valuable recommendations. Experience with Data Source integrations (via API, ETL, virtualization, streaming) is desirable, but not required. Communication: Excellent verbal and written skills to present complex information clearly to diverse stakeholders. Technical Adaptability: Proficiency in relevant data analysis tools and programming languages. Commitment to continuous learning in this rapidly evolving field. Desired or preferred experience and technical skills: Proficient in Microsoft Office tools, experience in working with cloud-based tools – Smartsheet, Salesforce, Excel, Tableau, Quicksight, Visio, Power Bi and AppSheet. If this job description resonates with you, we encourage you to apply, even if you don’t meet all the requirements. We’re interested in getting to know you and what you bring to the table! About JLL – We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people and our communities. Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally. Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally, the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavor to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity and Affirmative Action policy here. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may contact us at Accommodation Requests. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements below. We’re interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. About JLL – We’re JLL—a leading professional services and investment management firm specializing in real estate. We have operations in over 80 countries and a workforce of over 102,000 individuals around the world who help real estate owners, occupiers and investors achieve their business ambitions. As a global Fortune 500 company, we also have an inherent responsibility to drive sustainability and corporate social responsibility. That’s why we’re committed to our purpose to shape the future of real estate for a better world. We’re using the most advanced technology to create rewarding opportunities, amazing spaces and sustainable real estate solutions for our clients, our people, and our communities. Our core values of teamwork, ethics and excellence are also fundamental to everything we do and we’re honored to be recognized with awards for our success by organizations both globally and locally. Creating a diverse and inclusive culture where we all feel welcomed, valued and empowered to achieve our full potential is important to who we are today and where we’re headed in the future. And we know that unique backgrounds, experiences and perspectives help us think bigger, spark innovation and succeed together.

Job Description: We are looking for a motivated Computer Vision Training Intern to assist in training and validating deep learning models for real-world vision tasks such as object detection, classification, and OCR. You will work with existing scripts, datasets, and tools under the guidance of our AI development team. This role is ideal for freshers from a science background (Physics, Computer Science, Mathematics, Electronics, etc.) who are eager to apply their analytical and programming skills to practical AI problems. Key Responsibilities: · Run existing training pipelines to fine-tune or retrain computer vision models · Evaluate trained models using existing datasets and tools · Modify dataset annotations and formats when needed · Analyze model performance and prepare summary reports · Assist in data preprocessing, augmentation, and cleanup · Maintain proper logs, results, and experiment tracking · Participate in code reviews and regular status updates Required Skills: · Good understanding of Python · Basic knowledge of machine learning and deep learning · Familiarity with OpenCV, PyTorch, or TensorFlow is a plus · Exposure to training or using pre-trained models for image tasks Eligibility Criteria: · Recent graduate or final-year student from Science/Engineering background · Strong interest in computer vision and AI model development · Self-motivated with a willingness to learn new tools and techniques Job Types: Full-time, Permanent Pay: ₹5,000.00 - ₹10,000.00 per month Schedule: Day shift Application Question(s): • Recent graduate or final-year student from Science/Engineering background Strong interest in computer vision and AI model development Self-motivated with a willingness to learn new tools and techniques Education: Bachelor's (Preferred) Work Location: In person

Overview Make your mark at Comcast - a Fortune 30 global media and technology company. Become part of our award-winning, international engineering team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. You’ll do the best work of your career right here. Success Profile What makes a successful Engineer 3 - Machine Learning at Comcast? Check out these top traits and explore role-specific skills in the job description below. Results-driven Adaptable Inventive Entrepreneurial Team Player Problem-Solver Benefits We’re proud to offer comprehensive benefits to help support you physically, financially and emotionally through the big milestones and in your everyday life. Paid Time off We know how important it can be to spend time away from work to relax, recover from illness, or take time to care for others needs. Physical Wellbeing We offer a range of benefits and support programs to ensure that you and your loved ones get the care you need. Financial Wellbeing These benefits give you personalized support designed entirely around your unique needs today and for the future. Emotional Wellbeing No matter how you’re feeling or what you’re dealing with, there are benefits to help when you need it, in the way that works for you. Life Events + Family Support Benefits that support you no matter where you are in life’s journey. Engineer 3 - Machine Learning Location Chennai, India Req ID R413414 Job Type Full Time Category Information Technology Date posted 06/20/2025 Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience. Job Description Overview: Our team aims to expand and enhance the monitoring and understanding of our streaming quality and customers’ experience by leveraging data, analytics solutions, and industry-standard practices. We're seeking a talented Machine Learning Engineer to join our dynamic team and help drive our AI initiatives forward. Responsibilities: Design, develop, and implement machine learning models that solve complex business problems, from data ingestion to model deployment Containerize ML applications and deploy them using Kubernetes Develop and maintain data workflows using Airflow Work with cloud platforms (GCP, AWS, Azure) to build scalable ML infrastructure Collaborate with cross-functional teams to build scalable, production-ready machine learning systems Optimize model performance and infrastructure costs Collaborate with cross-functional teams to identify ML opportunities and implement solutions Monitor model performance and implement CI/CD for ML systems Analyze large datasets, identify patterns, and use statistical models to make predictions Continuously monitor and evaluate the performance of machine learning models and make improvements where necessary Stay up to date with the latest developments in AI, LLMs, Machine Learning and Data Science Communicate findings and insights to stakeholders, both technical and non-technical Required skills and experience: Kubernetes : Strong experience with pod management, deployments, scaling, and Helm charts Airflow : Proficiency creating DAGs, implementing PythonOperators, scheduling jobs, and managing task dependencies Cloud Platforms : GCP: BigQuery, Cloud Storage AWS: S3, EC2 Azure: Blob Storage Python : Advanced knowledge of core Python, Pandas, NumPy, automation scripts, and API interactions Machine Learning : Experience with Scikit-learn, TensorFlow, data preprocessing techniques, and model deployment Preferred Qualifications: Bachelor’s or Master’s degree in computer science, Data Science, or a related field 3+ years of experience in ML engineering or similar roles Experience with MLOps tools and practices Strong problem-solving and critical thinking skills Excellent communication and collaboration skills Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years

Pharma experience is a must Job Title: GenAI (Director / Sr. Director) Job Location: - Noida / Gurgaon / Bangalore Job Overview: We are looking for a GenAI Leader with 12+ years of experience and a strong background in pharma/life sciences to join our team. As a key leader, you will drive innovation in the pharma commercial and clinical space by designing cutting-edge AI solutions, leading high-performing teams, and delivering impactful results. If you have a proven track record in Generative AI, hands-on experience with models like GPT, DALL-E, and Stable Diffusion, and a passion for mentoring and thought leadership, we want to hear from you! Must have skills & competencies Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients’ journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Proven experience in building and productizing GenAI app at an enterprise level Ensure profitable delivery and great customer experience – design the end-to-end solution, put together the right team and help them deliver as per established processes. Build an A team – hire the required skills sets and nurture them in a supporting environment to develop strong delivery leaders for the Data Science Practice. Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development. Write white papers, collaborate with academia and participate in relevant speaker opportunities to continuously upgrade learning & establish Axtria’s thought leadership in this space. Research, develop, evaluate and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation. Experience in leveraging APIs and SDKs for generative AI services from OpenAI, Anthropic, Cohere, and Google AI. Expertise in defining generative AI strategies, aligning them with business objectives, and implementing solutions for scalable deployment. Knowledge of real-world applications of generative AI, such as text generation, code generation, image generation, chatbots, and content creation. Awareness of ethical considerations in generative AI, including bias mitigation, data privacy, and safe deployment practices. Good to have skills & competencies Proven ability to collaborate with cross-functional teams, including product managers, data scientists, and DevOps engineers, to deliver end-to-end generative AI solutions. Proven experience in leading teams focused on generative AI projects, mentoring ML engineers, and driving innovation in AI applications. Possessing robust analytical skills to address and model intricate business needs is highly advantageous, especially for those with a background in life sciences or pharmaceuticals. Eligibility Criteria Masters/PhD in CSE/IT from Tier 1 institute Minimum 12+ years of relevant experience in building software applications in data and analytics field. We will provide– (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Delivering challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact on geographies Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility of relocating to any Axtria office for short and long-term projects Benefit package: -Health benefits -Retirement benefits -Paid time off -Flexible Benefits -Hybrid /FT Office/Remote Axtria is an equal-opportunity employer that values diversity and inclusiveness in the workplace. Who we are Axtria 14 years journey Axtria, Great Place to Work Life at Axtria Axtria Diversity

Role Overview: As a Machine Learning Engineer, you will be responsible for designing, developing, and deploying machine learning models that drive [specific application, e.g., predictive analytics, natural language processing, computer vision, recommendation systems, etc.]. You will collaborate closely with data scientists, software engineers, and product teams to build scalable, high-performance AI solutions. You should have a strong foundation in machine learning algorithms, data processing, and software development, along with the ability to take ownership of the full machine learning lifecycle— from data collection and model training to deployment and monitoring. Key Responsibilities: Model Development: Design and implement machine learning models for various applications, such as [insert specific use cases, e.g., predictive analytics, classification, clustering, anomaly detection, etc.]. Data Preparation & Processing: Work with large datasets, including preprocessing, feature engineering, and data augmentation to ensure high-quality input for model training. Model Training & Tuning: Train, optimize, and fine-tune models using modern machine learning frameworks and algorithms. Monitor performance metrics and adjust parameters for model improvement. Model Deployment: Deploy machine learning models into production environments using tools like Docker, Kubernetes, or cloud platforms such as AWS, Azure, or Google Cloud. Performance Monitoring & Optimization: Continuously monitor deployed models for performance, accuracy, and scalability. Implement model retraining pipelines and maintain model health. Collaboration: Work cross-functionally with data scientists, software engineers, product managers, and other stakeholders to integrate machine learning solutions into business workflows. Research & Innovation: Stay up-to-date with the latest trends and advancements in machine learning and AI to drive innovation within the company. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field. A PhD is a plus but not required. Experience: 0-1years of experience in machine learning, data science, or a related technical role. Proven experience building and deploying machine learning models in a production environment. Experience with cloud platforms (e.g., AWS, GCP, Azure) for model deployment and scalability. Technical Skills: Proficiency in Python (preferred) or other programming languages (e.g., R, Java, C++). Strong knowledge of machine learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, Keras, or similar. Familiarity with deep learning techniques (e.g., CNNs, RNNs, transformers) is highly desirable. Experience with data processing tools such as Pandas, NumPy, and SQL. Knowledge of version control (e.g., Git), containerization (e.g., Docker), and CI/CD pipelines. Experience with big data tools and frameworks (e.g., Hadoop, Spark) is a plus. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work independently and manage multiple priorities in a fast-paced environment. Detail-oriented and organized, with a passion for learning and innovation. Job Type: Full-time Pay: ₹5,000.00 - ₹30,000.00 per month Schedule: Day shift Work Location: In person

📢 We're Hiring | Assistant Professor – Artificial Intelligence & Machine Learning 📍 Location: Gandhinagar, Gujarat | 🕒 Full-Time Academic Position 🎓 At Arrivo Edu’s Partner University Campus Are you passionate about Artificial Intelligence and Machine Learning? Join Arrivo Edu’s partner university in Gandhinagar and help shape the future of emerging tech talent by delivering cutting-edge, industry-driven education. 🔹 Position: Assistant Professor 🔹 Department: Computer Science / Data Science / AI & ML 🔹 Experience: Minimum 1–4 Years (Academia or Industry) 🔹 Joining: Immediate preferred ✅ Required Skill Set: Strong understanding of AI concepts, algorithms, and architectures Hands-on with Machine Learning models , Python , TensorFlow , scikit-learn , etc. Knowledge of data preprocessing, data visualization & real-world AI applications Familiarity with platforms like Jupyter, Google Colab, or AWS Sagemaker 🔑 Key Responsibilities: Deliver interactive sessions on AI, ML, and related technologies Guide students through project-based learning and live use cases Collaborate on curriculum development to ensure industry alignment Mentor student research and innovation projects Participate in tech events, seminars, and faculty development programs 📘 Qualifications: M.Tech / M.Sc. IT / MCA / PhD in relevant domain Strong programming and algorithmic thinking Prior teaching experience or industry exposure in AI-ML projects Excellent communication and mentoring skills 📩 To Apply: Send your updated resume to roshanivyas@arrivoedu.com 📝 Subject Line: “Application – Assistant Professor (AI & ML, Gandhinagar)” Let’s build the future with AI-driven education— Apply Today! #Hiring #AssistantProfessor #AIJobs #MachineLearning #EdTechJobs #GandhinagarJobs #ArrivoEdu #TechEducation #AcademicJobs #AITeaching #FacultyHiring #DeepLearning #DataScience

Summary Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. Your role in our mission Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. Experienced in multiple LLM fine tuning techniques. Experienced in building GEN AI solutions using RAG architecture. Skilled in both Lang Chain and Lang Graph. Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. Experienced in multiple Vector Databases as well as Graph Database Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. System Integration – Skilled in API development and integrations. Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration. Experienced in ML Ops and LLM Ops. Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. Experienced in applying security measures in GEN AI solutions, implementing guard rails. Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. What you should expect in this role Fully Remote Opportunity Minimal Travel Required – Occasional travel opportunities (0-10%) Working hours 1:30 pm to 11 pm

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics. Do You Dream Big? We Need You. Job Description Job Title: Principal Analyst- GBS Commercial Location: Bangalore Reporting to: Manager GBS Commercial Purpose of the role This role requires accuracy, attention to detail, and creative problem-solving abilities. The Principal Analyst will serve as a strategic partner to the management committee (ManCom) / Senior Leadership, playing a critical role in connecting multiple data sources to generate meaningful insights that guide decision-making. This person needs to be expert in storytelling and build presentation to C-suite level leadership. Their primary responsibility includes understanding disparate data systems, extracting, and synthesizing relevant information, and delivering actionable insights through reports, dashboards, and presentations. Timely closure of tasks is essential, with a strong focus on value addition and process efficiency. The role demands proactive communication and collaboration across functions, along with close coordination with different streams. Key tasks & accountabilities Ensure accurate and timely delivery of tasks regarding: Understand and navigate through various internal and external data sources to extract accurate and relevant data needed for business analysis. Create and automate regular and ad-hoc reports/dashboards for senior leadership, ensuring clarity, accuracy, and relevance of information. Working with multiple data sources like Nielsen, Salesforce, SAP, MS Access, Brandwatch, Emplifi, GFK, Kantar etc.. Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns. Assist ManCom and other senior stakeholders in crafting impactful presentations that effectively communicate data-driven insights. This person needs to be an expert story teller who can build effective presentation related to operations, business proposal, progress review as well as project review and the presentation will be for C- suite leadership. Collaborate with business partners at various levels to research and validate functional requirements. Collaborate with leadership teams to provide support for strategic initiatives and operational reviews. Identify opportunities to optimize reporting processes, reduce manual effort, and improve data accuracy and turnaround times. Ensure all data handling, reporting, and sharing practices comply with organizational standards, data privacy regulations, and governance frameworks 3. Qualifications, Experience, Skills Level Of Educational Attainment Required Graduation in Science Previous Work Experience At least 3 to 4 years in operations. Advance EXCEL for reporting Proven experience in working with senior leadership. Strong executive presence Good statistical knowledge with problem solving mindset. Excellent communication and presentation skills Advance POWERBI is good to have. Working experience in Commercial domain is an added advantage. And above all of this, an undying love for beer! We dream big to create future with more cheers.

🤖 We're Hiring: Machine Learning Intern (Remote | Flexible Timing) 📍 Location: Remote 🕒 Work Style: Fully Flexible 💼 Type: Unpaid Internship (Skill-Focused) 📅 Apply By: 5th June Are you fascinated by AI, automation, and building smart solutions? Step into the world of Machine Learning with Skillfied Mentor and gain hands-on experience with real-world data and algorithms. This internship is your launchpad to explore the power of machine learning in a mentorship-driven, remote-first environment. 💻 What You’ll Learn & Do: Work on real-world datasets and ML problem statements Apply algorithms using Python, scikit-learn, Pandas, and more Learn the complete ML pipeline: data preprocessing → model training → evaluation Understand model tuning and performance optimization Get personalized feedback from experienced ML mentors 🎓 You’re a Great Fit If You: Have a basic understanding of Python and machine learning concepts Are curious, analytical, and passionate about solving problems Are excited to build practical ML models (not just theory!) Want to grow your portfolio with real project experience Are eager to learn and open to feedback 🌟 Why Join Us? ✅ 100% Remote ✅ Flexible hours — learn at your own pace ✅ Mentorship by experienced ML professionals ✅ Internship Certificate + LOR on successful completion ✅ Real project exposure to boost your confidence and resume 🔔 Note: This is an unpaid internship , focused on learning, mentorship, and practical exposure . 📥 How to Apply: 🗓️ Deadline: 25th June 🚀 Build your ML journey from the ground up with Skillfied Mentor . Because learning by doing is the best kind of learning.

AI and Machine Learning Intern Company: INLIGHN TECH Location: Remote (100% Virtual) Duration: 3 Months Stipend for Top Interns: ₹15,000 Certificate Provided | Letter of Recommendation | Full-Time Offer Based on Performance About the Company: INLIGHN TECH empowers students and fresh graduates with real-world experience through hands-on, project-driven internships. The AI and Machine Learning Internship is crafted to provide practical exposure to building intelligent systems, enabling interns to bridge theoretical knowledge with real-world applications. Role Overview: As an AI and Machine Learning Intern, you will work on projects involving data preprocessing, model development, and performance evaluation. This internship will strengthen your skills in algorithm design, model optimization, and deploying AI solutions to solve real-world problems. Key Responsibilities: Collect, clean, and preprocess datasets for training machine learning models Implement machine learning algorithms for classification, regression, and clustering Develop deep learning models using frameworks like TensorFlow or PyTorch Evaluate model performance using metrics such as accuracy, precision, and recall Collaborate on AI-driven projects, such as chatbots, recommendation engines, or prediction systems Document code, methodologies, and results for reproducibility and knowledge sharing Qualifications: Pursuing or recently completed a degree in Computer Science, Data Science, Artificial Intelligence, or a related field Strong foundation in Python and understanding of libraries such as Scikit-learn, NumPy, Pandas, and Matplotlib Familiarity with machine learning concepts like supervised and unsupervised learning Experience or interest in deep learning frameworks (TensorFlow, Keras, PyTorch) Good problem-solving skills and a passion for AI innovation Eagerness to learn and contribute to real-world ML applications Internship Benefits: Hands-on experience with real-world AI and ML projects Certificate of Internship upon successful completion Letter of Recommendation for top performers Build a strong portfolio of AI models and machine learning solutions

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 : Machine Learning Good to have skills : NA Minimum 18 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 solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential as you contribute to the advancement of AI technologies within the organization. Roles & Responsibilities: - Expected to be a Subject Matter Expert with deep knowledge and experience. - Should have influencing and advisory skills. - Engage with multiple teams and responsible for team decisions. - Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems. - Facilitate knowledge sharing sessions to enhance team capabilities and foster a culture of continuous learning. - Analyze and evaluate existing systems to identify areas for improvement and optimization. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning. - Strong understanding of various machine learning algorithms and their applications. - Experience with cloud-based AI services and deployment strategies. - Familiarity with programming languages such as Python or R for data analysis and model development. - Knowledge of data preprocessing techniques and tools to ensure data quality. Additional Information: - The candidate should have minimum 18 years of experience in Machine Learning. - This position is based at our Bengaluru office. - A 15 years full time education is required.

Position: Data Analyst Intern (Full-Time) Company: Lead India Location: Remote Stipend: ₹25,000/month Duration: 1–3 months (Full-Time Internship) About Lead India: Lead India is a forward-thinking technology company that helps businesses make smarter decisions through data. We provide meaningful internship opportunities for emerging professionals to gain real-world experience in data analysis, reporting, and decision-making. Role Overview: We are seeking a Data Analyst Intern to support our data and product teams in gathering, analyzing, and visualizing business data. This internship is ideal for individuals who enjoy working with numbers, identifying trends, and turning data into actionable insights. Key Responsibilities: Analyze large datasets to uncover patterns, trends, and insights Create dashboards and reports using tools like Excel, Power BI, or Tableau Write and optimize SQL queries for data extraction and analysis Assist in data cleaning, preprocessing, and validation Collaborate with cross-functional teams to support data-driven decisions Document findings and present insights to stakeholders Skills We're Looking For: Strong analytical and problem-solving skills Basic knowledge of SQL and data visualization tools (Power BI, Tableau, or Excel) Familiarity with Python for data analysis (pandas, matplotlib) is a plus Good communication and presentation skills Detail-oriented with a willingness to learn and grow What You’ll Gain: ₹25,000/month stipend Real-world experience in data analysis and reporting Mentorship from experienced analysts and developers Remote-first, collaborative work environment Potential for a Pre-Placement Offer (PPO) based on performance

About Us: At Articul8 AI, we relentlessly pursue excellence and create exceptional GenAI products that exceed customer expectations. We are a team of dedicated individuals who take pride in our work and strive for greatness in every aspect of our business. We believe in using our advantages to make a positive impact on the world and inspiring others to do the same Job Description: Articul8 AI is seeking a Data Scientist to design, develop, and deploy AI-driven solutions that solve real-world problems at scale. You will work on machine learning models, large language models (LLMs), and AI applications while optimizing performance for production environments. This role requires expertise in AI/ML frameworks, cloud platforms, and software engineering best practices. You will be developing and deploying advanced deep learning and generative AI models and algorithms to enhance existing products or to create new products that fulfill critical business needs. In this role, you will be working closely with Product Management and Engineering teams to build GenAI products at scale. You will be responsible for transforming business needs to technical requirements and for leveraging state of the art research to develop and deliver products. You will also support Engineering with testing and validation of the product. Responsibilities: Design, develop, and deploy AI-driven solution in production that solve real-world problems at scale. Train, fine-tune, and optimize deep learning and LLM-based solutions to enhance existing products or to create new products. Evaluate and implement state-of-the-art AI/ML algorithms to improve model accuracy and efficiency to enhance and deliver product. Optimize models ensuring low latency and high availability for cloud and on-prem environments. Collaborate closely with engineering teams and product management to build GenAI products at scale. Work with large-scale datasets, ensuring data quality, preprocessing, and feature engineering. Develop APIs and microservices to serve AI models in production at scale. Handle large-scale datasets, preprocessing, and feature engineering to ensuring data quality. Responsible for transforming business needs to technical requirements to develop and deliver products. Stay up to date with the latest AI trends, research, and best practices. Ensure ethical AI practices, data privacy, and security compliance Required Qualifications Master’s Degree in Science, Technology, Engineering and Mathematics (STEM) or Statistics with 10 to 15 years of experience In-depth knowledge and experience with algorithms for time series analysis including data pre-processing, pattern recognition, clustering, modeling and anomaly detection. Strong expertise in Deep Learning, Machine Learning and Generative AI models (including Language, Vision, Audio and Multi-modal models) Exposure to one or more of the following domains - Optimization, Stochastic Processes, Estimation theory Experience in deploying deep learning models on multiple GPUs Experience in developing models and algorithms using ML frameworks like PyTorch, TensorFlow Strong programming skills in one or more of the following languages - Python, Golang Experience in building Docker images in creating scalable, efficient, and portable applications Experience in Kubernetes for container orchestration and writing YAML manifests to define how applications and services should be deployed Knowledge of cloud platforms at least one of AWS, Azure, GCP and its services for deployment of applications Strong verbal and written communications skills. Preferred Qualifications Ph.D, in Science, Technology, Engineering and Mathematics (STEM) or Statistics with 6 to 8 years of experience. Deep expertise and experience in training/fine-tuning large language models on large GPU clusters. Experience in parallel programming including data, model and tensor parallelisms with PyTorch and TensorFlow Deep experience in building and scaling machine learning / deep learning or GenAI applications with Docker and Kubernetes. Strong working experience with at least two cloud service providers (AWS, Azure GCP). Knowledge of CI/CD pipelines, MLOps like MLflow, Kubeflow, or TensorBoard. Deep expertise and experience in one or more of the following areas like finance, healthcare, engineering. Ability to transform business needs to technical requirements, define tasks, metrics and milestones. Ability to communicate technological challenges and achievements to various stakeholders. Professional Attributes: Problem Solving: ability to break down complex problems into manageable components, devising creative solutions, and iteratively refining ideas based on feedback and experimental evidence. Collaboration and Communication: proficiency in working cross-functionally—communicating clearly, providing constructive criticism, delegating responsibilities, and respecting diverse perspectives. Project Management and Prioritization: demonstrated aptitude in balancing multiple projects, deadlines, and allocating time efficiently between short-term objectives and long-term goals. Critical Thinking: ability to carefully evaluate assumptions, questioning established methodologies, challenging own biases, and maintaining skepticism when interpreting results. Curiosity and Continuous Learning: ability to stay curious about advances in related fields and constantly seeking opportunities to expand knowledge base. Emotional Intelligence and Intellectual Humility: capable of displaying empathy, resilience, adaptability, and self-awareness. Ability to recognize own limitations, embracing uncertainty, acknowledging mistakes, and valuing others' contributions. What We Offer: By joining our team, you become part of a community that embraces diversity, inclusiveness, and lifelong learning. We nurture curiosity and creativity, encouraging exploration beyond conventional wisdom. Through mentorship, knowledge exchange, and constructive feedback, we cultivate an environment that supports both personal and professional development. If you're ready to join a team that's changing the game, apply now to become a part of the Articul8 team. Join us on this adventure and help shape the future of Generative AI in the enterprise.

Job description About The Role: As a Subject Matter Expert (SME)/Team Lead in Data Annotation, you will play a critical role in ensuring the highest quality of data labelling across various projects. Technical and Domain expert Mentor annotation teams Establish annotation guidelines Conduct quality audits Support client and internal teams with domain-specific insights. Tools Experience Expected: CVAT, Amazon SageMaker, BasicAI, LabelStudio, SuperAnnotate, Loft, Cogito, Roboflow, Slicer3D, Mindkosh, Kognic, Praat Annotation Expertise Areas: Image, Video: Bounding Box, Polygon, Semantic Segmentation, Keypoints 3D Point Cloud: LiDAR Annotation, 3D Cuboids, Semantic Segmentation Audio Annotation: Speech, Noise Labelling, Transcription Text Annotation: NER, Sentiment Analysis, Intent Detection, NLP tasks Exposure to LLMs and Generative AI data annotation tasks (prompt generation, evaluation) Key Responsibilities: Act as a Subject Matter Expert to guide annotation standards, processes, and best practices. Create, refine, and maintain detailed annotation guidelines and ensure adherence across teams. Conduct quality audits and reviews to maintain high annotation accuracy and consistency. Provide domain-specific training to Data Annotators and Team Leads. Collaborate closely with Project Managers, Data Scientists, and Engineering teams for dataset quality assurance. Resolve complex annotation issues and edge cases with data-centric solutions. Stay current with advancements in AI/ML and annotation technologies and apply innovative methods. Support pre-sales and client discussions as an annotation domain expert, when required. Key Performance Indicators (KPIs): Annotation quality and consistency across projects Successful training and upskilling of annotation teams Timely resolution of annotation queries and technical challenges Documentation of guidelines, standards Client satisfaction on annotation quality benchmarks Qualifications: Bachelor's or master's degree in a relevant field (Computer Science, AI/ML, Data Science, Linguistics, Engineering, etc.) 3–6 years of hands-on experience in data annotation, with exposure to multiple domains (vision, audio, text, 3D). Deep understanding of annotation processes, tool expertise, and quality standards. Prior experience in quality control, QA audits, or SME role in annotation projects. Strong communication skills to deliver training, documentation, and client presentations. Familiarity with AI/ML workflows, data preprocessing, and dataset management concepts is highly desirable. Work Location: In-person (Salem, Tamil Nadu) Languages : Tamil(oral communication must),English,Hindi(Good to have) Schedule: Day Shift Monday to Saturday Weekend availability required Supplemental Pay: Overtime pays Performance bonus Shift allowance Yearly bonus Contact :9489979523(HR) Job Type: Full-time Schedule: Day shift Experience: data annotation: 2 years (Preferred) Work Location: In person

We are looking for a highly skilled and experienced AI/ML Developer with 45 years of hands-on experience to join our technology team. You will be responsible for designing, developing, and optimizing machine learning models that drive intelligent business solutions. Develop And Implement AI/ML Models The role involves close collaboration with cross-functional teams to deploy scalable AI systems and stay abreast of evolving trends in artificial intelligence and machine Responsibilities : Design, build, and implement AI/ML models tailored to solve specific business challenges, including but not limited to natural language processing (NLP), image recognition, recommendation systems, and predictive analytics. Model Optimization And Evaluation Continuously improve existing models for performance, accuracy, and scalability. Data Preprocessing And Feature Engineering Collect, clean, and preprocess structured and unstructured data from various sources. Engineer relevant features to improve model performance and interpretability. Collaboration And Communication Collaborate closely with data scientists, backend engineers, product managers, and stakeholders to align model development with business goals. Communicate technical insights clearly to both technical and non-technical stakeholders. Model Deployment And Monitoring Deploy models to production using MLOps practices and tools (e., MLflow, Docker, Kubernetes). Monitor live model performance, diagnose issues, and implement improvements as needed. Staying Current With AI/ML Advancements Stay informed of current research, tools, and trends in AI and machine learning. Evaluate and recommend emerging technologies to maintain innovation within the team. Code Reviews And Best Practices Participate in code reviews to ensure code quality, scalability, and adherence to best practices. Promote knowledge sharing and mentoring within the development Skills and Qualifications : Must have experience as a team lead. Bachelors or Masters degree in Computer Science, Data Science, Engineering, or a related field. 45 years of experience in machine learning, artificial intelligence, or applied data science roles. Strong programming skills in Python (preferred) and/or R. Proficiency in ML libraries and frameworks, including : scikit-learn XGBoost, LightGBM TensorFlow or Keras PyTorch Skilled in data preprocessing and feature engineering, using : pandas, numpy, sklearn. preprocessing Practical experience in deploying ML models into production environments using REST APIs and containers. Familiarity with version control systems (e., Git) and containerization tools (e., Docker). Experience working with cloud platforms such as AWS, Google Cloud Platform (GCP), or Azure. Understanding of software development methodologies, especially Agile/Scrum. Strong analytical thinking, debugging, and problem-solving skills in real-world AI/ML applications (ref:hirist.tech)

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company where product innovation and mature software engineering are embedded in our core DNA. Our core values of Respect, Fairness, Growth, Agility, and Inclusiveness guide everything we do. We continually expand our expertise in digital strategy, design, architecture, and product management to offer measurable results and outside-the-box thinking. About The Role We are seeking a highly skilled and experienced Senior AI Engineer to lead the design, development, and implementation of robust and scalable pipelines and backend systems for our Generative AI applications. In this role, you will be responsible for orchestrating the flow of data, integrating AI services, developing RAG pipelines, working with LLMs, and ensuring the smooth operation of the backend infrastructure that powers our Generative AI solutions. You will also be expected to apply modern LLMOps practices, handle schema-constrained generation, optimize cost and latency trade-offs, mitigate hallucinations, and ensure robust safety, personalization, and observability across GenAI systems. Responsibilities Generative AI Pipeline Development Design and implement scalable and modular pipelines for data ingestion, transformation, and orchestration across GenAI workloads. Manage data and model flow across LLMs, embedding services, vector stores, SQL sources, and APIs. Build CI/CD pipelines with integrated prompt regression testing and version control. Use orchestration frameworks like LangChain or LangGraph for tool routing and multi-hop workflows. Monitor system performance using tools like Langfuse or Prometheus. Data and Document Ingestion Develop systems to ingest unstructured (PDF, OCR) and structured (SQL, APIs) data. Apply preprocessing pipelines for text, images, and code. Ensure data integrity, format consistency, and security across sources. AI Service Integration Integrate external and internal LLM APIs (OpenAI, Claude, Mistral, Qwen, etc.). Build internal APIs for smooth backend-AI communication. Optimize performance through fallback routing to classical or smaller models based on latency or cost budgets. Use schema-constrained prompting and output filters to suppress hallucinations and maintain factual accuracy. Retrieval-Augmented Generation (RAG) Pipelines Build hybrid RAG pipelines using vector similarity (FAISS/Qdrant) and structured data (SQL/API). Design custom retrieval strategies for multi-modal or multi-source documents. Apply post-retrieval ranking using DPO or feedback-based techniques. Improve contextual relevance through re-ranking, chunk merging, and scoring logic. LLM Integration and Optimization Manage prompt engineering, model interaction, and tuning workflows. Implement LLMOps best practices: prompt versioning, output validation, caching (KV store), and fallback design. Optimize generation using temperature tuning, token limits, and speculative decoding. Integrate observability and cost-monitoring into LLM workflows. Backend Services Ownership Design and maintain scalable backend services supporting GenAI applications. Implement monitoring, logging, and performance tracing. Build RBAC (Role-Based Access Control) and multi-tenant personalization. Support containerization (Docker, Kubernetes) and autoscaling infrastructure for production. Required Skills And Qualifications Education Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related field. Experience 5+ years of experience in AI/ML engineering with end-to-end pipeline development. Hands-on experience building and deploying LLM/RAG systems in production. Strong experience with public cloud platforms (AWS, Azure, or GCP). Technical Skills Proficient in Python and libraries such as Transformers, SentenceTransformers, PyTorch. Deep understanding of GenAI infrastructure, LLM APIs, and toolchains like LangChain/LangGraph. Experience with RESTful API development and version control using Git. Knowledge of vector DBs (Qdrant, FAISS, Weaviate) and similarity-based retrieval. Familiarity with Docker, Kubernetes, and scalable microservice design. Experience with observability tools like Prometheus, Grafana, or Langfuse. Generative AI Specific Skills Knowledge of LLMs, VAEs, Diffusion Models, GANs. Experience building structured + unstructured RAG pipelines. Prompt engineering with safety controls, schema enforcement, and hallucination mitigation. Experience with prompt testing, caching strategies, output filtering, and fallback logic. Familiarity with DPO, RLHF, or other feedback-based fine-tuning methods. Soft Skills Strong analytical, problem-solving, and debugging skills. Excellent collaboration with cross-functional teams: product, QA, and DevOps. Ability to work in fast-paced, agile environments and deliver production-grade solutions. Clear communication and strong documentation practices. Preferred Qualifications Experience with OCR, document parsing, and layout-aware chunking. Hands-on with MLOps and LLMOps tools for Generative AI. Contributions to open-source GenAI or AI infrastructure projects. Knowledge of GenAI governance, ethical deployment, and usage controls. Experience with hallucination suppression frameworks like Guardrails.ai, Rebuff, or Constitutional AI. Experience and Shift Experience: 5+ years Shift Time: 2:30 PM to 11:30 PM IST

About The Role We're seeking a skilled and motivated ML/AI Engineer to join our team and drive end-to-end AI development for cutting-edge healthcare prediction models. As part of our AI delivery team you will be working on designing, developing, and deploying ML models to solve complex business challenges. Key Responsibilities Design, develop, and deploy scalable machine learning models and AI solutions. Collaborate with engineers and product managers to understand business requirements and translate them into technical solutions. Analyse and preprocess large datasets for training and testing ML models. Experiment with different ML algorithms and techniques to improve model performance. Technical Skills Proficiency in programming languages such as Python & R Strong knowledge of classical machine learning algorithms with hands on experience in the following : Supervised (Classification model, regressions models) Unsupervised, (Clustering Algorithms, Autoencoders) Ensemble Models (Stacking, Bagging, Boosting techniques, Random Forest, XGBoost) Experience in data preprocessing, feature engineering, and handling large-scale datasets. Model evaluation techniques like accuracy, precision, recall, F1 score, AUC-ROC for classification, and MAE, MSE, RMSE, R-squared for regression. Explainable AI (XAI) techniques include methods like SHAP values, LIME, feature importance from decision trees, and partial dependence plots. Experience with ML frameworks like TensorFlow, PyTorch, Scikit-learn, or Keras. Building & deploying Model APIs using framework like Flask, Fast API, Django, TensorFlow Serving etc. Knowledge of cloud platforms like Azure (preferred), AWS, GCP and experience deploying models in such environments. Nice To Have Object Oriented Programming. Familiarity with NLP, or time series analysis. Exposure to deep learning models (RNN, LSTM) and working with GPUs. (ref:hirist.tech)

Job Title: Senior Embedded Firmware Engineer – Microcontroller, RTOS, Edge AI Location: Ahmedabad, India Experience: 3 to 7 Years About Roambee: Roambee is a global leader in real-time supply chain visibility and intelligence, enabling enterprises to monitor and optimize their assets using IoT, Edge AI, and sensor technologies. We develop cutting-edge solutions for condition monitoring, asset tracking, and supply chain automation, driven by advanced embedded systems and Edge AI capabilities. Role Overview: We are seeking a highly motivated Senior Embedded Firmware Engineer to join our Edge AI and IoT product development team. The candidate will design, develop, and maintain high-performance firmware solutions for microcontroller-based platforms. You will contribute to next-generation Edge AI trackers and condition-monitoring devices, while also mentoring junior team members and collaborating across functions. Key Responsibilities: ✅ Design, develop, and maintain firmware for embedded IoT and Edge AI systems on ARM Cortex M0+/M3/M4 platforms. ✅ Implement low-power strategies, memory optimization techniques, and peripheral management (I2C, SPI, SDIO, UART, Timers, DMA, BT/BLE, Wi-Fi, GSM). ✅ Develop using RTOS (e.g., FreeRTOS, Zephyr) and bare-metal environments. ✅ Debug, optimize, and validate firmware on complex architectures (multi-core ARM, MCUs with integrated wireless). ✅ Conduct unit testing, integration testing, and system-level validation for robust deliverables. ✅ Perform code reviews, ensure adherence to coding standards, and guide junior engineers. ✅ Collaborate closely with hardware, software, and QA teams for seamless system integration. ✅ Document designs, code, and processes to maintain traceability and knowledge sharing. ✅ Stay updated with industry trends in Edge AI, IoT, and embedded technologies, contributing innovative ideas. Required Skills & Experience: 🔹 Expertise in C / C++ programming for embedded systems, with strong code optimization and debugging skills. 🔹 RTOS experience: Hands-on with FreeRTOS, Zephyr, or similar real-time OS; understanding of thread scheduling, context switching, and memory management. 🔹 Microcontroller platforms: ARM Cortex M0+, M3, M4 (low power modes, peripheral integration). 🔹 Peripheral interfaces: I2C, SPI, SDIO, UART, Timers, DMA, Bluetooth, BLE, Wi-Fi, GSM. 🔹 Low-power design: Proven experience with memory optimization, power management, and energy-efficient firmware. 🔹 Edge AI experience: Exposure to Edge AI concepts, including data preprocessing, event detection, or sensor fusion at the edge. 🔹 Firmware tooling: Skilled in using debuggers, oscilloscopes, logic analyzers, firmware build chains, and version control (Git). 🔹 IoT device experience: In-field device monitoring, deployment, and troubleshooting. 🔹 Python or scripting: Comfortable with scripting for automation, validation, or tool development. 🔹 Object-oriented fundamentals and design patterns for embedded systems. Preferred (Nice to Have): 🌟 Experience with consumer electronics or high-volume IoT devices. Education: 🎓 Bachelor’s degree in Electronics / Electrical Engineering / Computer Science or equivalent experience. Why Join Roambee? 🚀 Be part of a passionate team driving innovation in Edge AI and IoT. 🌎 Work on meaningful projects that impact global supply chains. 💡 Opportunity to learn, contribute, and grow in a collaborative environment. Read more about how Responsible Rebels at Roambee make great things happen: https://blog.roambee.com/supply-chain-technology/we-are-responsible-rebels Work Authorization: The candidate must be authorized to work in India legally. Recruitment agencies : We do not accept unsolicited agency resumes. Please do not forward resumes to this email, our website, or other company locations. We are not responsible for any fees related to unsolicited resumes.

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast. Job Summary Responsible for developing and deploying machine learning algorithms. Evaluates accuracy and functionality of machine learning algorithms. Translates application requirements into machine learning problem statements. Analyzes and evaluates solutions both internally generated as well as third party supplied. Develops novel ways to use machine learning to solve problems and discover new products. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as resource for colleagues with less experience. Overview Job Description Our team aims to expand and enhance the monitoring and understanding of our streaming quality and customers’ experience by leveraging data, analytics solutions, and industry-standard practices. We're seeking a talented Machine Learning Engineer to join our dynamic team and help drive our AI initiatives forward. Responsibilities Design, develop, and implement machine learning models that solve complex business problems, from data ingestion to model deployment Containerize ML applications and deploy them using Kubernetes Develop and maintain data workflows using Airflow Work with cloud platforms (GCP, AWS, Azure) to build scalable ML infrastructure Collaborate with cross-functional teams to build scalable, production-ready machine learning systems Optimize model performance and infrastructure costs Collaborate with cross-functional teams to identify ML opportunities and implement solutions Monitor model performance and implement CI/CD for ML systems Analyze large datasets, identify patterns, and use statistical models to make predictions Continuously monitor and evaluate the performance of machine learning models and make improvements where necessary Stay up to date with the latest developments in AI, LLMs, Machine Learning and Data Science Communicate findings and insights to stakeholders, both technical and non-technical Required Skills And Experience Kubernetes: Strong experience with pod management, deployments, scaling, and Helm charts Airflow: Proficiency creating DAGs, implementing PythonOperators, scheduling jobs, and managing task dependencies Cloud Platforms: GCP: BigQuery, Cloud Storage AWS: S3, EC2 Azure: Blob Storage Python: Advanced knowledge of core Python, Pandas, NumPy, automation scripts, and API interactions Machine Learning: Experience with Scikit-learn, TensorFlow, data preprocessing techniques, and model deployment Preferred Qualifications Bachelor’s or Master’s degree in computer science, Data Science, or a related field 3+ years of experience in ML engineering or similar roles Experience with MLOps tools and practices Strong problem-solving and critical thinking skills Excellent communication and collaboration skills Disclaimer This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details. Education Bachelor's Degree While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience. Relevant Work Experience 5-7 Years