22493 Ml Jobs - Page 39

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. Optum’s Applied AI team is seeking an experienced and pragmatic Lead Data Scientist to drive the end-to-end ML lifecycle, from problem definition to robust, scalable model deployment and continuous improvement. This role demands deep expertise in machine learning, particularly with advanced transformer models and Large Language Models (LLMs), applied to complex domains such as clinical document understanding and semantic search. Primary Responsibilities: Own the end-to-end data science lifecycle – from problem definition and experimentation to deployment, monitoring, and continuous improvement Design and deploy robust, explainable, and scalable ML models for clinical document understanding, named entity recognition, context disambiguation, and semantic search across prospective and retrospective use cases Lead model development with a focus on production-readiness, incorporating solid MLOps, reproducibility, and experimentation practices Diagnose and optimize model performance, mitigate bias, and ensure analytical integrity, accuracy, and operational efficiency Work hands-on with multi-modal transformer models for tasks like NER, handwriting and form understanding, and document classification Leverage LLMs and SLMs for clinical reasoning, automated annotation, data generation, and downstream distillation Collaborate with cross-functional teams – including ML engineers, annotators, and clinical domain experts – to translate business challenges into deployable AI solutions Implement automated data labeling pipelines using techniques like active learning, weak supervision, and human-in-the-loop systems Ensure reproducibility and operational excellence through Git, DVC, CI/CD pipelines, and orchestration tools (e.g., Airflow, Kafka) Mentor and guide junior scientists and engineers, lead technical design reviews, and set best practices for model architecture and evaluation Continuously identify and close gaps in the ML platform, proposing and implementing innovative solutions to improve performance, scalability, and reliability Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s degree in Computer Science or adjacent field Advanced degree in a field that emphasizes the use of data science/statistics techniques (e.g., Computer Science, Applied Mathematics, or a field with direct NLP application) 5+ years of experience in Data Science with a focus on Machine Learning and Natural Language Processing Solid understanding of machine learning algorithms, NLP principles, and data modeling principles Proficiency in Python, R, and SQL. Experience in NLP libraries such as NLTK, SpaCy, and BERT Proven excellent Communication Skills Proven flexibility to provide support during critical business periods Proven ability to interpret and present complex data in various formats. Proven solid leadership skills, ability to meet deadlines, and work independently. An analytical mindset for addressing complex business needs Proven positive team player with a drive to learn and contribute to achieving results Willingness to work in varying shifts 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. #NJP External Candidate Application Internal Employee Application

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS’s Digital and Technology group focuses on driving end to end Digital Transformation that includes Digital Strategy, Human centered Design, exploiting emerging technologies, and purposeful change management to improve customer and company results. The types of solutions include Digital Strategy and Advisory services, end to end Transformation Management, Enterprise Data, Analytics and AI, Intelligent Automation, reimagining business processes with digital first lens and building Digital Products, Solutions and Digital Platforms leveraging Big Data Technologies, AI/ML and Advance Analytics, Digital Platform configuration and integrations. We provide a complete spectrum of technology solutions, from strategy and roadmap definition to full scale implementation and on-going operations. Our team possesses deep expertise in leading digital transformation, enterprise data analytic and AI, Data science and advanced analytics and building end to end digital. Manager- Enterprise Architect in Tech and Cloud Advisory ZS's Technology Advisory Group ensures our future information, technology and architectural landscape is built to plan and evolve as our business grows, striving to balance future-proofing our end-to-end technology stack while accelerating the speed of innovation and streamlining the delivery of business capability. This role will be responsible for supporting the growth and development of our Technology Advisory Practice within the ZS Technology Services business. The successful candidate will work closely with ZS practice leadership and be responsible for evolving our practice, enriching our practice assets and collaterals, building, and managing client relationships, generating new business engagements, and providing thought leadership in the Technology and Architecture Area. What You’ll Do Design robust and scalable solutions consistent with ZS and industry practices; take advantage of the existing assets and maintaining a balance between architecture requirements and specific client needs Drive technical architecture and design discussions with internal and client groups to brainstorm and finalize technology solutions Collaborate with the Architecture & Engineering expertise centre leadership to define technology roadmap and work with delivery team to put together a plan for technical implementation with and stay on track Stay current on latest technology trends and architecture patterns, and lead the effort to develop ZS POV for strategic decision-making Engage with clients to understand their needs and provide tailored solutions. Advance ZS’ technology offerings by innovating and scaling tech assets, driving feasibility analysis to select technologies/platforms that provide the best solution Define and establish a technical strategy, standards, and guidelines in the data architecture domain Groom junior team members and maintain a culture of rapid learning and explorations to drive innovations / POCs on emerging technologies and architecture patterns Participate and support the business development activities. What You’ll Bring Bachelor's degree with specialization in Computer Science, IT or other computer related disciplines 8+ years of relevant experience in designing semantic architecture at an enterprise-scale. Strong engineering mindset to build highly available and robust architecture frameworks, technology solutions and reusable assets Expertise in one or more of initiatives like cloud strategy, IT transformation, and application portfolio assessment. Excellent communication and client engagement skills and ability to work in a fast-paced and dynamic environment. Experience in providing architecture alternatives, product evaluation and recommendations, POVs for implementation/adoption. Experience in scaling technology solutions aimed at solving complex business problems. Knowledge of all phases of solution development for large-scale solutions and experience working in agile teams with short release cycles. Strong technical team leadership, mentorship and collaboration abilities. Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

We are seeking a highly skilled Python Developer with expertise in Machine Learning and Data Analytics to join our team. The ideal candidate should have 5-6 years of experience in developing end-to-end ML-driven applications and handling data-driven projects independently. You will be responsible for designing, developing, and deploying Python-based applications that leverage data analytics, statistical modeling, and machine learning techniques. Key Responsibilities: Design, develop, and deploy Python applications for data analytics and machine learning. Work independently on machine learning model development, evaluation, and optimization. Develop ETL pipelines and process large-scale datasets for analysis. Implement scalable and efficient algorithms for predictive analytics and automation. Optimize code for performance, scalability, and maintainability. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Integrate APIs and third-party tools to enhance functionality. Document processes, code, and best practices for maintainability. Required Skills & Qualifications: 5-6 years of professional experience in Python application development. Strong expertise in Machine Learning, Data Analytics, and AI frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Proficiency in Python libraries such as Pandas, NumPy, SciPy, and Matplotlib. Experience with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.). Hands-on experience with big data technologies (Apache Spark, Delta Lake, Hadoop, etc.). Strong experience in developing APIs and microservices using FastAPI, Flask, or Django. Good understanding of data structures, algorithms, and software development best practices. Strong problem-solving and debugging skills. Ability to work independently and handle multiple projects simultaneously. Good to have - Working knowledge of cloud platforms (Azure/AWS/GCP) for deploying ML models and data applications. Job Type: Full-time Pay: ₹800,000.00 - ₹1,500,000.00 per year Schedule: Day shift Ability to commute/relocate: Chandrasekharpur, Bhubaneswar, Orissa: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 5 years (Required) Work Location: In person Expected Start Date: 01/08/2025

Designation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: • Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. • Training & Evaluation : Train and evaluate models using historical data, ensuring accuracy, scalability, and efficiency while fine-tuning hyperparameters. • Data Preprocessing & Cleaning : Clean, preprocess, and transform raw data into a suitable format for model training and evaluation, applying industry best practices to ensure data quality. • Feature Engineering : Conduct feature engineering to extract meaningful features from data that enhance model performance and improve predictive capabilities. • Model Deployment & Pipelines : Build end-to-end pipelines and workflows for deploying machine learning models into production environments, leveraging Azure Machine Learning and containerization technologies like Docker and Kubernetes . • Production Deployment : Develop and deploy machine learning models to production environments, ensuring scalability and reliability using tools such as Azure Kubernetes Service (AKS) . • End-to-End ML Lifecycle Automation : Automate the end-to-end machine learning lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring seamless operations and faster model iteration. • Performance Optimization : Monitor and improve inference speed and latency to meet real- time processing requirements, ensuring efficient and scalable solutions. • NLP, CV, GenAI Programming : Work on machine learning projects involving Natural Language Processing (NLP) , Computer Vision (CV) , and Generative AI (GenAI) , applying state-of-the-art techniques and frameworks to improve model performance. • Collaboration & CI/CD Integration : Collaborate with data scientists and engineers to integrate ML models into production workflows, building and maintaining continuous integration/continuous deployment (CI/CD) pipelines using tools like Azure DevOps , Git , and Jenkins . • Monitoring & Optimization : Continuously monitor the performance of deployed models, adjusting parameters and optimizing algorithms to improve accuracy and efficiency. • Security & Compliance : Ensure all machine learning models and processes adhere to industry security standards and compliance protocols , such as GDPR and HIPAA . • Documentation & Reporting : Document machine learning processes, models, and results to ensure reproducibility and effective communication with stakeholders. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 3+ years of experience in machine learning operations (MLOps), cloud engineering, or similar roles. • Proficiency in Python , with hands-on experience using libraries such as TensorFlow , PyTorch , scikit-learn , Pandas , and NumPy . • Strong experience with Azure Machine Learning services, including Azure ML Studio , Azure Databricks , and Azure Kubernetes Service (AKS) . • Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle. • Expertise in Docker , Kubernetes , and container orchestration for deploying machine learning models at scale. • Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake . • Strong understanding of NLP , CV , or GenAI programming, along with the ability to apply these techniques to real-world business problems. • Experience with Git , Azure DevOps , or similar tools to manage version control and CI/CD pipelines. • Solid experience in machine learning algorithms , model training , evaluation , and hyperparameter tuning

Location: Noida / Mumbai Department: Document Intelligence – Transfer Credit Evaluation Reports To: Head of Academic Operations About The Role EDMO is seeking a detail-oriented and academically sound Academic Operations Executive to work alongside our AI-powered Document Intelligence platform. This role involves validating AI-generated transfer credit evaluations by applying institutional articulation rules, understanding global course equivalencies, and ensuring accuracy in credit recognition decisions for U.S. higher education institutions. Key Responsibilities Identify and develop articulation rules of various global institutions as per need. Review and verify AI-generated credit transfer evaluations to ensure compliance with institutional policies and academic equivalency standards. Understand and apply articulation agreements, accreditation status, and curriculum alignment across international and U.S. educational institutions. Analyze course syllabi, transcripts, and credit hours to determine course equivalency and transferability. Flag inconsistencies and recommend manual adjustments based on academic discretion. Collaborate with the product and AI teams to improve model performance and logic rules. Maintain accurate documentation of decisions, workflows, and audit trails. Stay updated with evolving higher education policies, course structures, grading systems , and credit frameworks. Qualifications Bachelor’s or Master’s degree in Education, Academic Administration, International Education, or a related field. 2+ years of experience in academic advising, admissions evaluation, or registrar’s office (preferably with U.S. institutions or international credential evaluation companies). Strong understanding of course articulation, credit hour systems, general education requirements , and program-level outcomes. Familiarity with U.S. higher education structures (Community Colleges, Universities, Gen Ed, Major Requirements). Excellent attention to detail, analytical thinking, and academic judgment. Experience with digital tools like CRMs, SISs, and document management systems is a plus. Nice To Have Prior work with WES, AACRAO, College Source, or transfer credit systems. Understanding of AI/ML-based education products or EdTech workflows. Experience working with accreditation bodies or curriculum committees.

About Sundial Sundial is a top VC-backed early-stage startup headquartered at San Francisco Bay Area, US with a second office in Bengaluru, India. We have raised $23M to build the analytics platform for the AI era. Our founders are industry veterans Chandra Narayanan, previously Chief Data Scientist at Sequoia Capital, and Julie Zhuo, previously VP, Design and Research at Facebook, author of a bestselling management book. We are a small team of top talent, high caliber Engineers, Data Scientists, Designers and PM (currently 49 in India, 5 in US) and rapidly growing. We are on a mission to help builders make meaningful use of data to fulfill their vision. Sundial automatically diagnoses a product's data to explain the "what" and the "why" to enable faster and better decision making. Now Pull up a chair! We're excited to tell you more about our vision for Sundial! By now, you've probably visited our website and maybe our LinkedIn page and browsed around the profiles of our team members. If you haven't yet, please take a moment to do so. We'll wait 🙂 Okay, now you know at a high level that we are focused on data storytelling. The data space has over $100B in market opportunity ahead of it, and modern Business Intelligence tools are growing at over 15% year over year.We've seen this evolution firsthand. Our co-founders Chandra Narayanan and Julie Zhuo cut their teeth scaling Facebook from a few million college students to billions of people. To make the best decisions possible, companies are investing more and more into understanding their data. And yet, demand far outpaces supply for Data Scientists and Data Platform Engineers who can construct useful narratives out of the growing firehose of raw data, tables and charts. Currently most data-centric organizations have a large Data Platform and Data Science team that builds Big Data Platforms, Insights Data stores to bring data into dashboards and manually generates reports to communicate the product story broadly. But a large part of this process can be easily productised. At Sundial, we're building a Sundial’s Insights Data Platform. This platform converts raw data in large Data Warehouses into a universe of deep product insights that product teams—including PMs, data scientists, executives and engineers—consume easily. This involves Highly Scalable, Robust Distributed Data Platform which can consistently, repeatably run complex Data Science and Transformation algorithms at Cloud Scale. We envision a future where every organization becomes a data-informed organization through our work of: Productising the diagnostic analysis of yesterday so teams can focus on the strategic bets for tomorrow. Making data understanding easy and accessible to everyone, not just data scientists. Surfacing opportunities of improvement in growth across segments We believe better usage of data leads to better products, and better products lead to better experiences for people. Responsibilities: Developing and enhancing the framework for Agents, Prompting, and Retrieval-Augmented Generation (RAG) to build generative AI agents, multi-agent frameworks and tools for our product. Integrating and optimising machine learning models into our Sundial Insights Platform. Building out the infrastructure for using AI Platforms or hosting and deploying tuned AI models, ensuring high availability and scalability. Collaborating with data scientists and other engineers to understand data gaps and improve our Generative AI use-cases Designing and implementing efficient data pipelines to support ML operations and data processing needs. Working with cutting-edge AI technologies and contributing to the development of new AI-driven features and capabilities. Designing and building systems and features from scratch at a rapid pace and high quality. Requirements: Strong Software Engineering fundamentals, Computer Science fundamentals, ML Engineering fundamentals, coding, and design capabilities. Experience in ML Engineering, ML Ops, and backend engineering for hosting and building tools using Public AI Platforms or open source ML models. Familiarity with generative AI techniques, frameworks for Agents/Prompting/RAG, and model deployment. Familiarity with libraries like Langgraph, Langchain, Llamaindex, Autogen etc. Experience with data engineering as part of ML engineering, including building and managing data pipelines. Familiarity with cloud services such as AWS, GCP, or Azure and tools for ML Ops. Proficiency in programming languages such as Python, Golang, SQL, and experience with ML frameworks like TensorFlow, PyTorch, etc. A Bachelor’s or Master’s in Computer Science or a related field, or equivalent work experience. Should have at least 3 years of experience working on some of the above areas. Prior experience working in a fast-paced startup environment. You will probably like working with us if: You like the ownership, camaraderie and chaos of a start-up environment - Start-ups are not right for everyone. Things move quickly and change frequently. Start-ups haven't "made it" yet. We have to convince customers we are valuable enough to them. We must be scrappy and flexible. Everyone will wear lots of hats. But: if you have future aspirations of being an entrepreneur or leader, you'll find few better learning grounds. You'll learn by doing. You'll be given a ton of trust and responsibility. You'll see very transparently how we operate and make decisions. Your work will absolutely matter to the success of our company. You value learning and have a growth mindset - Sundial is founded on the idea that slope is far more important than intercept. We are a learning environment, and all of us have something to teach and learn from each other. We invest heavily in learning sessions, sharing insights, and reflecting on our growth. You're interested in understanding how companies grow, and how data plays a role - Unlocking the secrets of data is our bread and butter. How do successful companies grow? How do different types of businesses create value for users in an economically scalable way? If you find this area to be as fascinating as we do, that's awesome, because you're going to become an expert in this domain. :) Benefits: 🤑 Competitive salary & options package—A rewarding compensation structure that includes competitive pay and equity, ensuring your contributions are valued. 🌏 Global culture – Collaborate with diverse teams across San Francisco and Bangalore, gaining exposure to international perspectives. 🏝️ Unlimited vacation days—A trust-based policy encouraging you to recharge and return at your best. 🍽️ Food in the Office – Enjoy daily lunch at the office, with the freedom to choose what you want to eat. Interested? We’d love to hear from you—apply now!

Role Overview: Join our mission to ensure AI agents are safe, reliable, and trustworthy for enterprise deployment. You'll focus on developing tests that evaluate agent behavior, identify edge cases, and ensure compliance with safety standards. Key Responsibilities: Design and execute safety testing protocols for AI agents Develop adversarial testing strategies to identify agent vulnerabilities Create test cases for hallucination detection, bias evaluation, and toxic output prevention Build automated monitoring for agent drift and performance degradation Test agent behavior under resource constraints and failure scenarios Evaluate agent compliance with industry-specific regulations Document safety issues and work with developers on mitigation strategies Required Qualifications: 5+ years in software testing with focus on security or safety-critical systems Experience with AI/ML model testing and evaluation Strong analytical and problem-solving skills Knowledge of AI ethics and responsible AI principles Experience with security testing tools and methodologies Excellent documentation and communication skills Preferred Qualifications: Background in cybersecurity or safety engineering Experience with red team/blue team exercises Knowledge of formal verification methods Familiarity with AI incident databases and failure analysis

Job Title: Machine Learning Intern Company: Innovate Solutions Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: AI / Data Science About the Company: Innovate Solutions is a technology-forward company focused on building intelligent, scalable, and data-driven solutions. We work across industries to help organizations implement machine learning, AI, and automation to drive growth and efficiency. Job Summary: We are looking for a motivated and curious Machine Learning Intern to join our AI team. You’ll get hands-on experience with real datasets, model development, and building smart applications that solve real-world problems. Key Responsibilities: Collect, clean, and preprocess data for modeling Build and train machine learning models using Python and ML libraries Work with libraries like Scikit-learn, TensorFlow, Keras, or PyTorch Evaluate and fine-tune model performance Collaborate with data scientists and developers on project tasks Document processes, models, and results clearly Requirements: Pursuing or recently completed a degree in Computer Science, Data Science, or a related field Strong Python programming skills Basic understanding of machine learning algorithms and techniques Familiarity with libraries like pandas, NumPy, and Scikit-learn Knowledge of deep learning concepts is a plus Good problem-solving skills and ability to work remotely Perks & Benefits: ₹25,000/month stipend Internship certificate upon successful completion Real-world ML project experience Mentorship from experienced professionals Flexible remote work environment

Location: Remote/Hybrid/Travel Required (60%) Shift: EST Domain: Healthcare SaaS / EHR / ML-integrated solutions About us: At Kan’s Technologies Global, our mission is to develop the most advanced solutions, products, and platforms that drive business growth, solve real-world challenges, and catalyze innovation across industries worldwide. We specialize in building custom AI/NLP/ML solutions, including Conversational AI, Predictive Analytics, Demand Forecasting, and more empowering organizations to stay ahead in an increasingly digital world. What fuels us? Innovation and Value Creation Role Summary: We are seeking a dynamic and results-driven Director, Marketing & Sales with proven experience in the healthcare IT products and solutions space, particularly focused on the North American market. This leadership role will be pivotal in accelerating revenue generation, expanding our reach across regions, and forging long-term strategic partnerships that fuel growth. The ideal candidate will bring strong experience working with healthcare product-based IT companies, have prior exposure to U.S. client engagements (preferably with a valid U.S. B1/B2 visa), and a clear understanding of the healthcare industry’s buying patterns, compliance considerations (HIPAA, FHIR, etc.), and competitive dynamics. Job Roles & Responsibilities: Drive revenue through direct sales, channel partners, and strategic alliances. Convert opportunities into long-term clients within the healthcare sector, particularly in North America and global regions. Leverage deep knowledge of healthcare IT products (such as EHR/EMR platforms, AI-based healthcare tools, patient management systems, etc.) to effectively communicate product value and business ROI. Identify and penetrate new markets in the U.S., Canada, UAE, and other regions, building a solid client pipeline and expanding global footprint. Build, lead, and mentor a high-performing marketing and sales team. Establish KPIs for success, implement sales enablement strategies, and support professional development. Lead initiatives on brand positioning, digital presence, content strategy, and go-to-market planning. Collaborate with the executive team to shape the overall marketing vision. Represent the company at healthcare industry events, conferences, and trade shows in the U.S. and abroad. Cultivate strategic partnerships and joint ventures with industry stakeholders. Foster long-term relationships with key stakeholders, ensuring high customer satisfaction, repeat business, and referrals. Work closely with product and innovation teams to gather real-time client feedback, shape product direction, and identify acceleration parameters aligned with market needs. Participate in and host virtual panel discussions, webinars, and other industry dialogues to position Kan's Technologies Global as a trusted thought leader. Mandatory Qualifications: Proven track record in sales and marketing leadership roles within healthcare IT product companies. Extensive experience selling to North American healthcare organizations (hospitals, clinics, healthtech platforms, insurance providers). Experience working with healthcare compliance frameworks like HIPAA, HL7, and FHIR. Prior travel to the U.S. for business purposes; holding a valid U.S. B1/B2 visa is preferred. Strong knowledge of AI/ML healthcare solutions, SaaS platforms, and enterprise sales cycles. Excellent communication, negotiation, and stakeholder management skills. Ability to lead cross-functional teams and coordinate with product, innovation, and technical teams. Experience attending and speaking at healthcare events or panels is a plus. Preferred Qualifications: Entrepreneurial mindset with the ability to work in a fast-paced, high-growth environment. Global perspective with the ability to adapt strategies to different regional healthcare systems. Comfortable working with C-suite executives and key decision-makers. High accountability, self-motivation, and passion for healthcare innovation. What you'll gain: Opportunity to work with international clients and real-world industry problems. Collaborative environment with a team focused on innovation and impact. Performance-based incentives and career growth opportunities. Flexible work structure (remote-first culture). Note: (Compensation Range: upto 21 Lakhs INR per annum), based on experience. At Kan's Technologies Global, we are committed to fostering a diverse and inclusive environment, where everyone is treated with respect and given equal opportunities, regardless of race, gender, religion, or any other characteristic. Discrimination of any kind is not tolerated, and we strive to create a workplace where all individuals can thrive.

Job Title: AI Intern Company: Innovate Solutions Location: Remote Job Type: Internship (Full-Time) Duration: 1–3 Months Stipend: ₹25,000/month Department: Artificial Intelligence / Machine Learning About the Company: Innovate Solutions is a technology-driven company dedicated to building smart, scalable digital solutions. We specialize in software development, automation, AI, and data science to help businesses leverage the power of emerging technologies. Job Summary: We are seeking an enthusiastic and research-oriented AI Intern to join our remote AI team. You will gain hands-on experience working on artificial intelligence projects that involve machine learning, deep learning, and natural language processing. Key Responsibilities: Assist in building, training, and evaluating AI/ML models Work with datasets to clean, preprocess, and extract features Use libraries like TensorFlow, PyTorch, Scikit-learn, and OpenCV Conduct literature reviews and explore AI-based problem-solving techniques Collaborate with data scientists, developers, and product teams Document project processes, code, and outcomes Requirements: Pursuing or recently completed a degree in Computer Science, AI, Data Science, or a related field Strong understanding of Python and AI/ML libraries Familiarity with concepts in machine learning, deep learning, or NLP Basic experience with data handling using pandas, NumPy, or similar libraries Problem-solving mindset and eagerness to learn Ability to work independently in a remote environment Perks & Benefits: ₹25,000/month stipend Hands-on experience with AI-driven projects Certificate upon successful internship completion Mentorship from experienced AI professionals Flexible and collaborative remote work environment

Company Description At Vibe6, we harness the power of AI, ML, IoT, Web3, and Blockchain to drive digital transformation. Our mission is to innovate, automate, and elevate businesses with cutting-edge technology. From custom software and mobile apps to next-gen decentralized solutions, we empower enterprises to stay ahead in a rapidly evolving digital world. Vibe6 blends innovation with expertise to deliver scalable, high-performance solutions that redefine industries. Role Description This is a full-time on-site role for a Digital Marketing Executive located in Indore. The Senior Digital Marketing role will be responsible for developing and implementing digital marketing strategies, managing social media accounts, creating web content, and analyzing web analytics. The role involves creating compelling marketing content, enhancing online presence, and ensuring effective communication across digital platforms. Qualifications Marketing and Social Media Marketing skills Excellent Communication abilities Web Content Writing skills Proficiency in Web Analytics Ability to work collaboratively in an on-site environment Bachelor's degree in Marketing, Communications, or related field Experience in digital marketing and social media management is preferred Video Editing Tools Community Management Google Analytics

Role: Sr Software Engineer Experience level: 5 to 7 years Location: Chennai Who are we? Crayon Data is a leading provider of AI-led revenue acceleration solutions, headquartered in Singapore with a presence in India and the UAE. Founded in 2012, our mission is to simplify the world’s choices. Our flagship platform, maya.ai , helps enterprises in Banking, Fintech, and Travel unlock the value of their data to create hyperpersonalized experiences and drive sustainable revenue streams. maya.ai is powered by four “as a Service” components – Data, Recommendation, Customer Experience, and Marketplace – that work in unison to deliver tangible business outcomes. Why Crayon? Why now? Crayon is transforming into an AI first company , and every Crayon (that’s what we call ourselves!) is undergoing a journey of upskilling and expanding their capabilities in the AI space. We're building an organization where AI is not a department—it’s a way of thinking . If you’re an engineer who’s passionate about building things, experimenting with models, and applying AI to solve real business problems, you’ll feel right at home in our AI squads. Our environment is designed to be a playground for AI practitioners, with access to meaningful data, real-world challenges, and the freedom to innovate. You won't just be writing models—you’ll be shaping Crayon’s future. Experience : 5+ years Industry : Banking, Financial Services, and AI Team : Engineering Job Overview We are looking for a seasoned Senior Software Engineer who thrives at the intersection of technology and business. In this role, you will design, develop, and deploy robust backend systems and applications that power key initiatives for banking and financial institutions – from enhancing digital banking platforms to enabling seamless integration with AI-driven solutions. If you're passionate about building scalable systems, solving complex technical problems, and delivering impact through clean, maintainable code, this opportunity is for you. What You’ll Do Design, develop, and deploy scalable Java-based applications that support critical banking use cases such as customer onboarding, transaction processing, digital banking services, and AI-driven decision systems. Work with large-scale structured and unstructured datasets , integrating with data pipelines and backend systems to ensure seamless data flow and processing. Translate business requirements into robust technical solutions , ensuring performance, security, and scalability in production environments. Collaborate closely with product managers, data scientists, and engineering teams to integrate ML models and business logic into production applications. Continuously monitor, optimize, and enhance backend systems post-deployment to ensure system reliability and performance. Mentor junior engineers and contribute to best practices, code reviews, and internal knowledge sharing across the engineering team. Can you say “Yes, I have!” to the following? A Bachelor’s degree in Computer Science or in a related field 5+ years of work experience Good knowledge of Data Structures and Algorithms with excellent analytical and problem-solving skills. At least 5 years of experience in Java hands-on development At least 3 years of experience in Spring At least 2 years of experience using implementing the CI/CD process Jenkins, GitHub, SonarQube, Docker, Kubernetes At least 2 years of experience in Quality Assurance technologies like TDD 3+ years of Micro-services experience, Kafka. Experience in working with AWS or Azure cloud platforms.Exposure to or understanding of AI/ML applications in a production environment Can you say “Yes, I will!” to the following? Design, code, debug, test, and validate application micro-services, APIs, Backend develop modular software components and - participate in code reviews; monitor system performance metrics and identify potential risks issues Collaborate in agile scrum team with product owners Out-of-the-box thinking, teamwork, code quality, performance, CICD, and automation Coordinate and scale the evolving cloud-based solutions with product development teams You Build You Own Code, deploy, and production support What would you expect to work on here: Object-Oriented Languages Frameworks (Java, Spring boot), Cloud-Based Technologies (OCI, DevOps, Cloud Native ) Work Experience with data industry is a big plus Working in the financial industry is a big plus. Strong sense of ownership and passion for building scalable, flexible, secured and easy to maintain platforms Up-to-date with emerging technology trends and ability to choose the best. Ability to make the right design decisions related to product features and technology choices. For a large poorly understood Problem, explores solutions (possibly with numerous POCs) to determine correct course of action. Passion for building a strong Engineering culture, operational excellence innovation Brownie points for: Alignment with The Crayon Box of Values – because while skills can be learned, values define who we are. Passion for building reusable backend components , internal tools, and frameworks that improve developer productivity and system scalability. Come play, build, and grow with us. # Let’s co-create the future of AI at Crayon.

Date: Jul 18, 2025 Location: Pune, IN Apply now » Apply now Apply for Job Enter your email to apply Position Summary With Job Responsibilities Position Description Format Position Name Lead Prognostics and Cyber Position level L4 DEM position name GM Connectivity DEM position level L3 FEM position name FEM position level Purpose of the position Why the positions exists? What will happen if there is no one in the position (no one performs the work)? The Role Is Responsible To Creating predictive analytics and prognostics deployments on the edge for LV aggregates Develop embedded aggregation functions, docker based deployments on embedded Remote data logging and establishing connectivity till data lake Closed loop connectivity for FOTA of dockerised embedded functions Domain for E&E aggregates AIS 189 and AIS 190 compliance checking function Cyber security roadmap Interface with external vendors and parties to create ecosystem of prognostics and cyber Personal Profile Education BTech / M tech Software Engg / Embedded AI, ML Skills/Competencies Overall product development lifecycle and NPI Supplier relationship management Make Vs Buy options evaluation abilities Automotive electrical and electronic systems TCU design basics Cloud architecture and communications protocol basics Embedded s/w for embedded AI / ML, dockers WP.29, AIS 189, AIS 190 Relevan Experience 1.10-15 years of experience in the area of product engineering and development Data science, statistics, embedded Cyber threats, embedded pen testing, vulnerabilities assessment Understanding of ISO 21434, ISO 26262 and SOTIF Education Work Experience Key Responsibilities S.N. Key Responsibility & Key Tasks Measures 1Prognostics Implement prognostics functions on the edge and hybrid models Data logging, model building, training and testing Deployment of model at the edge and coordinate for the twin deployment in cloud Timely delivery and regulation compliance 2Cyber Roadmap and adherence to AIS 189, AIS 190 Systems, methods and process establishment for cyber Checking function for cyber 3Penetration testing and ethical hacking for exposing vulnerabilities, coordination within E&E for fix Tata Motors Leadership Competencies Customer Centricity - Anticipating, understanding and focusing efforts on meeting the customer (stakeholders) needs or expectations Developing Self and Others - Recognizing continuous development is essential for success and taking steps to develop self and helping others to excel Driving Execution - Translating strategy into action and execution Leading by Example - Encouraging and following ethical standards Leading Change - Recognizing the need for change, initiating and adapting to change Motivating Self and Others - Inspiring teams and individuals Functional Competencies Tags Apply now » Apply now Apply for Job Enter your email to apply

Company Description Madgical Techdom assists organizations in education, entertainment, finance, customer support, and healthcare in achieving measurable results through optimized technology and strategy. We serve as long-term strategic partners in digital transformation, leveraging deep expertise in cloud, DevOps, and AI/ML. Our team has helped businesses reduce cloud costs, accelerate DevOps workflows, build AI-powered tools, and launch innovative products with on-demand strategic tech leadership. Discover more about our impactful work on our website. About the Role We are looking for a Marketing Manager who understands the power of LinkedIn as a strategic channel for brand building and B2B lead generation. You’ll own our LinkedIn presence end-to-end—from content strategy to campaign execution—while working closely with the sales team to align efforts, generate quality leads, and support business growth. Key Responsibilities Develop and manage LinkedIn marketing strategies (organic + paid) Write, design, and publish engaging posts, carousels, videos, and infographics Build sales-aligned content like case studies, client success posts, and team spotlights Use tools like Canva to design visually consistent and on-brand assets Coordinate with designers, interns, and stakeholders to manage content calendars Track performance metrics, optimize campaigns, and report actionable insights Collaborate with the sales team to align messaging, target prospects, and share enablement content Keep up with LinkedIn trends, hashtags, algorithm updates, and competitor content Requirements Proven experience managing LinkedIn marketing for a brand or personal brand Basic to intermediate Canva skills (must be hands-on) Strong content planning, copywriting, and storytelling skills Experience working closely with sales or in a revenue-focused marketing role Comfortable using tools like LinkedIn Analytics, Buffer, Hootsuite, or similar Strong understanding of personal branding, thought leadership, and LinkedIn trends Self-driven, deadline-oriented, and comfortable working in a fast-paced environment Bonus Points Experience with B2B SaaS or service-based brands Familiarity with lead gen, LinkedIn Ads, or account-based marketing (ABM) Experience mentoring interns or managing a content team How to Apply: Email your resume, LinkedIn profile, and 2–3 sample LinkedIn posts (your own or for clients/brands) to [email@example.com].

Job description: Job Description Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. ͏ Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness ͏ Deliver No. Performance Parameter Measure 1.Demand generation# PoC supported 2.Revenue generation through deliveryTimeliness, customer success stories, customer use cases 3.Capability Building & Team Management# Skills acquired ͏ ͏ Mandatory Skills: Data Analysis . Experience: 3-5 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job Title Senior Manager – Data Science Job Grade G9A/B Function Global Information Technology Sub-function Data Science & Analytics Manager’s Job Title SGM, Data & Analytics Skip Level Manager’s Title AVP, Enterprise Applications Function Head Title Chief Information Officer Location: Sun House, Mumbai No. of Direct Reports (if any) ~ up to 3 Areas of Responsibility At Sun Pharma, we commit to helping you “ Create your own sunshine ”— by fostering an environment where you grow at every step, take charge of your journey and thrive in a supportive community. Are You Ready to Create Your Own Sunshine? As you enter the Sun Pharma world, you’ll find yourself becoming ‘Better every day’ through continuous progress. Exhibit self-drive as you ‘Take charge’ and lead with confidence. Additionally, demonstrate a collaborative spirit, knowing that we ‘Thrive together’ and support each other’s journeys.” Job Summary The role would work as an integral part of the Data & Analytics team at SUN Pharma. It involves leading and managing business critical data science projects and AI/ ML Initiatives. The role requires an understanding of business processes related to Pharma industry and data science and analytics, and the ability to communicate effectively to both technical and functional stakeholders. Position offers a significant opportunity for an all-round business understanding and impact working with the in-house teams as well as business and corporate functions as well as technology consultants and partners Key Responsibilities For designated complex and business critical digital and technology based data & AI related projects, Building and expanding the Data Analytics CoE and Data Architecture for Global Use cases Clear understanding of the expected business outcome, business value and specific outputs / deliverables Managing stakeholders and expectations from use of data science and analytics Working in tandem with Data guardians from different functions, in-line with their requirements and vision Monitoring any proof of concept for new requirement, coordinating with involved stakeholders and partners, ensuring timely completeness for the objectives pre-decided Planning benefits realization for Data Science projects and execution strategy Reusability of data streams, wherever applicable, to eliminate duplication in data foot print Managing a team of data engineers, cloud architects, MLOps engineers and Database engineers Structuring delivery team organization, managing the engagement with relevant partner ecosystem Managing CI-CD pipelines and building ML products for internal teams Managing budgets, managing scope, time and quality, measuring and managing change Targeted communication, orchestration and governance System/solution usage and adoption, benefit realization and measurement Travel Estimate Mostly, within India; Job Scope Internal Interactions (within the organization) Across Functions, Global Function Heads, CEOs, MD’s Office External Interactions (outside the organization) Technology solution / service delivery partners Geographical Scope Global Financial Accountability (cost/revenue with exclusive authority) Delivering data analytics. ML & AI Projects – as per approved cost. Job Requirements Educational Qualification B. Tech / MBA Specific Certification Skills Knowledge of Data Science, ML, Statistical Techniques, Data Modelling, Data Transformation, Use of Cloud Hyperscaler environment. Use of cloud based tools for automating ML pipelines and deploying cloud based models for end users Ability to understand and interpret complex datasets and formulate means for merging disparate data sources Strong fundamentals in cloud services and data lake architecture. Work involves handling sensitive data and confidential information requiring discretion on the role holder's part. Ability to work under deadlines and comfortable with certain level of ambiguity Ability to multi task, successfully adapt to changes in work priorities. Should be comfortable to operate at a strategic level, and also have an eye for detail. Should be a self motivated Experience 7-12 years (preferably, IT Services / Pharma Industry Experience, from organizations of repute) Experience In Handling Data/ Data Models For Different Functions Your Success Matters to Us At Sun Pharma, your success and well-being are our top priorities! We provide robust benefits and opportunities to foster personal and professional growth. Join us at Sun Pharma, where every day is an opportunity to grow, collaborate, and make a lasting impact. Let’s create a brighter future together! Disclaimer: The preceding job description has been designed to indicate the general nature and level of work performed by employee within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees as assigned to this job. Nothing herein shall preclude the employer from changing these duties from time to time and assigning comparable duties or other duties commensurate with the experience and background of incumbent(s).

Job Title: IT Business Partner – Commercials ( AGM/DGM ) Location: Mumbai Reporting To: India IT Head Team Size: 3 members The IT Business Partner – Commercials will lead strategic IT initiatives to support commercial excellence across India and Emerging Markets. This includes driving digital transformation, leveraging AI/ML/GenAI technologies, and managing key commercial platforms like CRM, LMS, and E-Detailing. About the Role The IT Business Partner – Commercials will lead strategic IT initiatives to support commercial excellence across India and Emerging Markets. This includes driving digital transformation, leveraging AI/ML/GenAI technologies, and managing key commercial platforms like CRM, LMS, and E-Detailing. Responsibilities Serve as the primary liaison between IT and Commercial business teams. Lead and implement commercial excellence initiatives across sales, marketing, and customer engagement. Drive the adoption of digital technologies including AI/ML and Generative AI to enhance business performance. Manage end-to-end CRM strategy including system implementation, enhancement, governance, and performance tracking. Oversee day-to-day operations of key commercial platforms including LMS and E-Detailing tools. Ensure technology solutions align with business strategies and goals. Additional Responsibilities Lead and mentor a team of 3–5 IT professionals. Collaborate with cross-functional teams to support effective change management and ensure high user adoption of IT tools. Monitor project KPIs and ensure on-time and within-budget delivery. Stay updated with emerging digital trends and identify opportunities for innovation. Represent IT in strategic business discussions and planning. Qualifications Education: Bachelor’s or Master’s degree in Information Technology, Computer Science, or a related field. MBA or equivalent qualification will be an added advantage. Experience: Minimum of 12 years of IT experience, preferably in business partnering roles supporting commercial functions. Proven experience in managing CRM systems and digital transformation projects. Prior experience in pharma or healthcare industry will be preferred. Required Skills Strong leadership and team management skills. Deep knowledge of CRM platforms, LMS, and E-Detailing tools. Solid understanding of AI/ML/Generative AI technologies and their commercial application. Excellent stakeholder engagement and communication skills. Proficiency in change management and project governance. Strategic thinking with the ability to translate business needs into IT solutions. Preferred Skills Prior experience in pharma or healthcare industry will be preferred. ```

About the Company eSec Security Consultants Pvt. Ltd., a leading system integrator specializing in the supply, installation, testing, commissioning, and maintenance of IP-based surveillance systems CCTV , access control solutions, intrusion detection systems, AI/ML solutions and other advanced security solutions under the ICT digitization framework. eSec has successfully executed many projects nationwide, including Safe/Smart City initiatives and various large-scale government and enterprise projects. Our portfolio spans a wide range of sectors, including airports, corporate offices, renewable energy, power and transmission, ports, manufacturing, and educational institutions and many more. About the Role Designation: Sr. System Engineer (Projects) Job location: Ahmedabad, Noida, Delhi, Guwahati Roles and Responsibilities Understand the solution offered to the client and prepare prerequisites for project installation. Carry out the pre-execution survey for implementation requirements. Project coordination with client with status reports and planning. Installation, testing, and commissioning projects for Safety & Security Solutions - Surveillance (IP Video surveillance), Access Control system, Fire Systems, and PA system. Carry out Site acceptance tests for projects. Should have the capability to manage Vendors and Clients to ensure the terms of timelines and quality. To carry out POC (Proof of concept). Preparation of Project Documents like Handover Documents including Installation reports, As build Solution Architecture and Project Completion Certificate. Desired knowledge area Active Networking Should have installation and configuration knowledge of Switches, Routers, Firewalls, Wireless AP, etc. Passive Networking Should have commissioning knowledge of Structured Cabling (Fiber, Copper, Power) and Accessories Should have the commissioning knowledge of Rack, Control Panels, Junction Boxes, etc. Should have knowledge of selection of accessories like Pole and Mounting Bracket for Cameras, ACS Readers, FAS, PA, and other ELV Products Solutions You should have hands-on installation, commissioning, and testing experience with IP Cameras (Field of View, Recording Parameters, etc.), Access Control Systems (Including Readers, Locks, BGU, Door Sensors, Exit Switch) Fire Alarm Systems (Including Smoke Detector, Heat Detector, Hooter, etc.), PA Systems, Intrusion panels (Including Motion Detector, Contact Sensor, Seismic Sensor, etc.), and other ELV Products Should have Installation, commissioning, and testing experience in Physical Security equipment like Boom barriers, Pedestrian Barriers (Flap, Tripods, etc.) Should have Installation, Testing, and Commissioning experience with Video Management Software like Genetec, Milestone, Nuuo, Avigilon, etc. Should have configuration knowledge of Server, workstation, display, and storage devices (RAID configuration, Volume Creation, LUN Assignment) Documentation Knowledge You should be able to generate documentation and reports related to project execution, inventory details, etc. Functional knowledge of project completion and handover documents. Should have hands-on experience on project management tools like Microsoft planner, Asana, ZOHO Projects, ERP/ SAP etc. Qualifications Education Qualification - Diploma or Degree in Engineering (Any Specialization), Bachelor or Master’s in science or equivalent degree. Experience : The candidate should have minimum 3 Years of experience in ELV industry Candidates from the CCTV/ Surveillance field, Access Control Field, Smart/ Safe City Projects, IT Networking and Hardware field would be highly preferred.

About the role We’re looking for Senior Engineering Manager to lead our Data / AI Platform and MLOps teams at slice. In this role, you’ll be responsible for building and scaling a high-performing team that powers data infrastructure, real-time streaming, ML enablement, and data accessibility across the company. You'll partner closely with ML, product, platform, and analytics stakeholders to build robust systems that deliver high-quality, reliable data at scale. You will drive AI initiatives to centrally build AP platform and apps which can be leveraged by various functions like legal, CX, product in a secured manner This is a hands-on leadership role perfect for someone who enjoys solving deep technical problems while growing people and teams. What You Will Do Lead and grow the data platform pod focused on all aspects of data (batch + real-time processing, ML platform, AI tooling, Business reporting, Data products – enabling product experience through data) Maintain hands-on technical leadership - lead by example through code reviews, architecture decisions, and direct technical contribution Partner closely with product and business stakeholders to identify data-driven opportunities and translate business requirements into scalable data solutions Own the technical roadmap for our data platform including infra modernization, performance, scalability, and cost efficiency Drive the development of internal data products like self-serve data access, centralized query layers, and feature stores Build and scale ML infrastructure with MLOps best practices including automated pipelines, model monitoring, and real-time inference systems Lead AI platform development for hosting LLMs, building secure AI applications, and enabling self-service AI capabilities across the organization Implement enterprise AI governance including model security, access controls, and compliance frameworks for internal AI applications Collaborate with engineering leaders across backend, ML, and security to align on long-term data architecture Establish and enforce best practices around data governance, access controls, and data quality Ensure regulatory compliance with GDPR, PCI-DSS, SOX through automated compliance monitoring and secure data pipelines Implement real-time data processing for fraud detection and risk management with end-to-end encryption and audit trails Coach engineers and team leads through regular 1:1s, feedback, and performance conversations What You Will Need 10+ years of engineering experience, including 2+ years managing data or infra teams with proven hands-on technical leadership Strong stakeholder management skills with experience translating business requirements into data solutions and identifying product enhancement opportunities Strong technical background in data platforms, cloud infrastructure (preferably AWS), and distributed systems Experience with tools like Apache Spark, Flink, EMR, Airflow, Trino/Presto, Kafka, and Kubeflow/Ray plus modern stack: dbt, Databricks, Snowflake, Terraform Hands on experience building AI/ML platforms including MLOps tools and experience with LLM hosting, model serving, and secure AI application development Proven experience improving performance, cost, and observability in large-scale data systems Expert-level cloud platform knowledge with container orchestration (Kubernetes, Docker) and Infrastructure-as-Code Experience with real-time streaming architectures (Kafka, Redpanda, Kinesis) Understanding of AI/ML frameworks (TensorFlow, PyTorch), LLM hosting platforms, and secure AI application development patterns Comfort working in fast-paced, product-led environments with ability to balance innovation and regulatory constraints Bonus: Experience with data security and compliance (PII/PCI handling), LLM infrastructure, and fintech regulations Life at slice Life so good, you’d think we’re kidding: Competitive salaries. Period. An extensive medical insurance that looks out for our employees & their dependents. We’ll love you and take care of you, our promise. Flexible working hours. Just don’t call us at 3AM, we like our sleep schedule. Tailored vacation & leave policies so that you enjoy every important moment in your life. A reward system that celebrates hard work and milestones throughout the year. Expect a gift coming your way anytime you kill it here. Learning and upskilling opportunities. Seriously, not kidding. Good food, games, and a cool office to make you feel like home. An environment so good, you’ll forget the term “colleagues can’t be your friends”.

Job Title: Data Science Researcher/SME Workplace Type : On-site Job Location: Noida, Uttar Pradesh, India (Sector 63) Job Type: Full-time Job Description: 1to10x is seeking passionate Data Science Content Creators to join our team. The ideal candidate will research cutting-edge topics in AI and Data Science and collaborate with top instructors globally to develop industry-aligned courses for aspiring data scientists and AI professionals worldwide. Key Responsibilities: Research and create high-quality content on AI and Data Science. Collaborate with instructors to design and build engaging courses. Develop practical examples and projects for learners. Stay updated with the latest trends and advancements in AI and Data Science. Required Skills: Proficiency in Python, Excel, SQL, ML, and dashboard creation. Strong understanding of data science concepts and tools. Excellent research and content development skills. Job Type: Full-time Pay: ₹20,000.00 - ₹30,000.00 per month Schedule: Day shift Evening shift Night shift Application Question(s): Dashboard creation Research and create high-quality content on AI and Data Science Experience: Data Science Research: 1 year (Preferred) Python: 1 year (Required) Machine learning: 1 year (Required) Work Location: In person

Job Summary As a Director within the Product Management practice, you will help our clients develop and execute their business and product strategies, working closely with client leadership and Publicis Sapient delivery teams to assume the role of the client’s trusted advisor. In addition to client delivery, you will play a critical leadership role within the Product Management practice—driving talent development, managing internal capacity, contributing to recruitment, and shaping the future of the practice through thought leadership and strategic engagement with CXO-level stakeholders. Key Responsibilities Understand client business problems and propose innovative, high-impact solutions; work with product managers, analysts, engineers, and creative teams to ideate, build, test, and launch new features Support business proposals by leveraging your industry expertise and collaborating with global teams and cross-functional practices Demonstrate entrepreneurial drive and lead/ideate new initiatives that advance the Product Management practice Play a mentor role within the product management community to foster learning, knowledge sharing, and continuous improvement Lead and manage bench capacity and deployment across engagements, ensuring optimal talent utilization and alignment with current and forecasted client demand Partner with Talent and Staffing teams to attract, retain, and grow top-tier product talent, while supporting performance management, learning & development, and career progression Recruit new talent in line with evolving practice needs, ensuring alignment to both capability requirements and cultural values Drive creation of thought leadership and Points of View (POVs) on emerging trends in product management and financial services; present insights to senior client stakeholders, including CXOs Act as a trusted advisor to executive-level clients, distilling complex business challenges into actionable strategies and delivering compelling, data-driven recommendations General Experience Guidelines MBA from a Tier-1 B-School 20+ years of relevant experience in digital product management and/or business strategy Strong analytical skills and business acumen Excellent stakeholder engagement, presentation, and communication skills Experience working with stakeholders across distributed geographies Apart from the above, we are looking to hire someone with a deep mix of the following three areas: Healthcare Services Industry Experience The candidate must bring deep expertise in the U.S. healthcare industry. Should have worked on functional areas & possess experience in leading programs in domains like Pharmacy Benefit Management (PBM), Insurance plan operations, Claims, Adjudication systems, Healthcare analytics. Familiarity with payer and provider ecosystems is critical, including a working knowledge of rebate structures, member enrolment systems, provider networks, and regulatory compliance within Medicare, Medicaid, and commercial health plans. Should have exposure to healthcare compliance and regulatory frameworks—including HIPAA, HITECH, CMS guidelines, and audit standards. Product Thinking Craft & Mindset Expertise in leading product teams with a lean-agile, outcome-driven mindset: Ability to apply startup-style business models, value frameworks, and prioritization methodologies to test and scale product ideas Deep experience with agile delivery of digital products in enterprise environments, working in multidisciplinary teams (product, design, engineering, data, marketing, etc.) Knowledge of scaled agile frameworks such as SAFe, Scrum, and Kanban, supported by relevant certifications (e.g., SAFe SPC, SAFe PMPO, CSPO) Digital Business Transformation Experience Proven track record of leading digital business transformation initiatives with measurable outcomes: Business performance and industry analysis, including product visioning, strategy definition, and competitive benchmarking Exposure to emerging technologies such as AI/ML, analytics, cloud, blockchain, mobile, and RPA Expertise in customer journey design, voice-of-customer, design thinking, and service design Experience in digital maturity assessments, innovation strategy, and data-driven decision making Operating model transformation, including business process design, optimization, and organizational change management Experience in designing or launching new digital banks or collaborating with fintechs/product firms is a strong plus

Job Purpose Manage Electro-mechanical and Fire & Safety operations to ensure the quality and deliverables in a timely and cost effective manner at all office locations of Bangalore; Role would be responsible to build, deploy, and scale machine learning and AI solutions across GMR’s verticals. This role will build and manage advanced analytics initiatives, predictive engines, and GenAI applications — with a focus on business outcomes, model performance, and intelligent automation. Reporting to the Head of Automation & AI, you will operate in a high-velocity, product-oriented environment with direct visibility of impact across airports, energy, infrastructure and enterprise functions ORGANISATION CHART Key Accountabilities Accountabilities Key Performance Indicators AI & ML Development Build and deploy models using supervised, unsupervised, and reinforcement learning techniques for use cases such as forecasting, predictive scenarios, dynamic pricing & recommendation engines, and anomaly detection, with exposure to broad enterprise functions and business Lead development of models, NLP classifiers, and GenAI-enhanced prediction engines. Design and integrate LLM-based features such as prompt pipelines, fine-tuned models, and inference architecture using Gemini, Azure OpenAI, LLama etc. Program Plan Vs Actuals End-to-End Solutioning Translate business problems into robust data science pipelines with emphasis on accuracy, explainability, and scalability. Own the full ML lifecycle — from data ingestion and feature engineering to model training, evaluation, deployment, retraining, and drift management. Program Plan Vs Actuals Cloud , ML & data Engineering Deploy production-grade models using AWS, GCP, or Azure AI platforms and orchestrate workflows using tools like Step Functions, SageMaker, Lambda, and API Gateway. Build and optimise ETL/ELT pipelines, ensuring smooth integration with BI tools (Power BI, QlikSense or similar) and business systems. Data compression and familiarity with cloud finops will be an advantage, have used some tools like kafka, apache airflow or similar 100% compliance to processes KEY ACCOUNTABILITIES - Additional Details EXTERNAL INTERACTIONS Consulting and Management Services provider IT Service Providers / Analyst Firms Vendors INTERNAL INTERACTIONS GCFO and Finance Council, Procurement council, IT council, HR Council (GHROC) GCMO/ BCMO FINANCIAL DIMENSIONS Other Dimensions EDUCATION QUALIFICATIONS Engineering Relevant Experience 5 - 8years of hands-on experience in machine learning, AI engineering, or data science, including deploying models at scale. Strong programming and modelling skills in some like Python, SQL, and ML frameworks like scikit-learn, TensorFlow, XGBoost, PyTorch. Demonstrated ability to build models using supervised, unsupervised, and reinforcement learning techniques to solve complex business problems. Technical & Platform Skills Proven experience with cloud-native ML tools: AWS SageMaker, Azure ML Studio, Google AI Platform. Familiarity with DevOps and orchestration tools: Docker, Git, Step Functions, Lambda,Google AI or similar Comfort working with BI/reporting layers, testing, and model performance dashboards. Mathematics and Statistics Linear algebra, Bayesian method, information theory, statistical inference, clustering, regression etc Collaborate with Generative AI and RPA teams to develop intelligent workflows Participate in rapid prototyping, technical reviews, and internal capability building NLP and Computer Vision Knowledge of Hugging Face Transformers, Spacy or similar NLP tools YoLO, Open CV or similar for Computer vision. COMPETENCIES Personal Effectiveness Social Awareness Entrepreneurship Problem Solving & Analytical Thinking Planning & Decision Making Capability Building Strategic Orientation Stakeholder Focus Networking Execution & Results Teamwork & Interpersonal influence

Job Title: Python Developer – AI Engineer Location: Hyderabad, India Experience: 3–4 Years Employment Type: Full-Time Job Summary: We are seeking a dynamic and results-driven Python Developer with hands-on experience in AI/ML, DevOps practices, and AWS cloud services. You will be responsible for developing scalable backend services, building and deploying ML models, and supporting CI/CD pipelines in cloud-based environments. This role offers the opportunity to work on high-impact, intelligent systems within a fast-paced and innovative team in Hyderabad. Key Responsibilities: Design, develop, and maintain Python-based backend applications. Implement and manage DevOps pipelines for model and application deployment using CI/CD tools. Utilize AWS services such as EC2, Lambda, S3, SageMaker, and CloudFormation for deployment and monitoring. Collaborate with data scientists, DevOps engineers, and cloud architects to integrate models into production. Write clean, reusable, and well-documented code. Ensure performance, security, and scalability of applications in cloud environments. Monitor production systems and troubleshoot issues when necessary. Required Skills: 3–4 years of experience in Python development. Strong understanding of AI/ML concepts, model development, and deployment. Hands-on experience with machine learning libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with DevOps tools such as Jenkins, Git, Docker, Kubernetes, or Terraform. Proficiency in AWS cloud services (e.g., EC2, Lambda, S3, SageMaker). Knowledge of RESTful APIs and microservices architecture. Familiarity with CI/CD and agile development processes.

Overview We are seeking a Subject Matter Expert (SME) in Azure Data & AI to drive the technical depth, accuracy, and instructional value of our training content. You’ll lead the definition and review of presentations, labs, and real-world scenarios on Azure’s modern data and AI stack, working closely with content creators to shape advanced, certification-aligned learning experiences. Key Responsibilities Define and validate learning content aligned to DP-203, AI-102, and DP-100 certification paths Provide technical guidance on Azure data pipelines, lakehouse architecture, and ML/AI integration Design and review labs and walkthroughs using Synapse, Data Factory, Databricks, and Cognitive Services Translate AI/ML concepts (e.g., model lifecycle, prompt engineering, RAI) into structured training materials Stay current with Microsoft’s evolving data/AI ecosystem including OpenAI integration and Fabric convergence Ensure quality, realism, and accuracy across all deliverables, collaborating with writers and stakeholders Required Skills Deep hands-on experience in: Data: Azure Synapse, Data Factory, Databricks, Data Lake Gen2, Cosmos DB, Event Hub AI: Azure OpenAI, Cognitive Services, Azure Machine Learning Studio, Responsible AI 7+ years in roles such as data engineer, ML engineer, AI architect, or applied data scientist Proficient with Spark, Python, SQL, and REST APIs Strong grasp of AI-based application architecture, ethical AI practices, and cloud-scale data governance Ability to bridge technical concepts for instructional teams and content developers Good-to-Have Certifications: DP-203, AI-102, DP-100 (preferred, not mandatory) Experience building or validating technical training content Familiarity with GitHub, markdown, Jupyter Notebooks, or SCORM Experience with prompt engineering and Azure OpenAI orchestration tools (e.g., LangChain, Semantic Kernel)

Staff Backend Engineer – Core AI Platform Location: India (Remote) Function: Engineering – AI Platform Level: Staff Reports to: VP of Engineering / CTO About the Company We’re hiring a Staff Engineer – AI Frameworks to architect and lead the development of the foundational multi-agent infrastructure powering the next generation of intelligent systems for financial institutions. This role is not about plugging in pre-built models—it’s about designing and scaling custom AI orchestration frameworks that bind language models, memory, judgment modules, and tool use into autonomous systems that are trustworthy, composable, and policy-aligned. You’ll work at the intersection of machine learning, distributed systems, and agentic reasoning, partnering with researchers, backend engineers, and product leaders to bring real-time, LLM-driven intelligence into production at scale. This is a rare opportunity to define and build the AI runtime and execution architecture for mission-critical agents in a high-regulation, high-trust industry. About the Role We’re hiring a Staff Engineer – AI Frameworks to architect and lead the development of the foundational multi-agent infrastructure powering the next generation of intelligent systems for financial institutions. Responsibilities Architect a multi-agent AI framework for orchestrating LLMs, tools, memory, and decision modules in live user-facing systems Build and optimize low-latency, distributed inference systems that meet real-time SLAs for transactional environments Develop modular components for task planning, reward routing, fallback handling, and multi-turn reasoning Design developer-facing APIs and tooling to allow AI product teams to safely extend and compose agentic functionality Integrate vector stores, custom retrieval pipelines, model evaluators, judgment layers, and auto-tuning workflows Drive the implementation of prompt tuning, reward modeling, and LLM-as-a-Judge techniques in production loops Collaborate with research to productionize new RL, planning, or alignment strategies Establish architectural best practices for extensibility, observability, and trust in AI-enabled systems Qualifications 8+ years of backend or platform engineering experience, with at least 2 years building or deploying AI/ML systems Deep experience with Node.js, asynchronous architecture, and performance-critical backend systems Prior hands-on experience building ML models or training pipelines —you know how models learn, behave, and break Expert knowledge of LLM system design, agent architectures, and Reinforcement Learning techniques Proven track record building distributed, event-driven systems in high-throughput environments Experience building real-time inference systems that integrate LLMs with retrieval, memory, or tool use Strong systems design skills: designing modular, fault-tolerant, observable software at scale Demonstrated ability to lead architectural design and cross-functional engineering initiatives Preferred Skills Experience building multi-agent systems or intelligent orchestration engines Familiarity with vector databases, semantic search, and prompt engineering techniques Comfort integrating ML eval frameworks and offline/online experimentation pipelines Open-source contributions to LLM tooling or infrastructure a plus