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Job Description AI Driven Marketing Strategist Location: Noida, Uttar Pradesh, IND Our mission is to unlock human potential. We welcome you for who you are, the background you bring, and we embrace individuals who get excited about learning. Bring your experiences, your perspectives, and your passion; it’s in our differences that we empower the way the world learns. About The Role Ready to revolutionize marketing operations and deliver measurable business impact? Join Wiley as our AI-Driven Marketing Strategist and lead the transformation from traditional marketing to cutting-edge AI-powered strategies. What You'll Do Lead the strategic transformation of marketing from basic practices to sophisticated AI-driven technologies Develop and execute comprehensive AI-driven marketing strategies to optimise lead generation, customer engagement, and drive revenue growth Implement AI-powered tools to enhance campaign performance Lead AI-based personalisation across content marketing, email campaigns, and paid media for maximum impact Analyse market trends and customer behaviour using advanced AI tools to deliver actionable insights that drive strategic decisions Manage and mentor marketing colleagues while collaborating with cross-functional teams to integrate AI solutions Monitor, evaluate and continuously optimize AI-driven marketing initiatives Transform our marketing into an AI-first powerhouse What We're Looking For 10+ years marketing experience with 3+ years hands-on AI/ML integration Proven track record with AI-powered marketing tools Leadership experience driving digital transformation Results-oriented mindset with measurable business impact Why This Role Matters: You'll be the architect of our marketing future, building sophisticated AI-driven methodologies that deliver superior ROI while establishing Wiley India as a leader in AI-powered marketing. Ready to take the next step in your career? Apply today! About Wiley Wiley is a trusted leader in research and learning, our pioneering solutions and services are paving the way for knowledge seekers as they work to solve the world's most important challenges. We are advocates of advancement, empowering knowledge-seekers to transform today's biggest obstacles into tomorrow's brightest opportunities. With over 200 years of experience in publishing, we continue to evolve knowledge seekers' steps into strides, illuminating their path forward to personal, educational, and professional success at every stage. Around the globe, we break down barriers for innovators, empowering them to advance discoveries in their fields, adapt their workforces, and shape minds. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact tasupport@wiley.com for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. Wiley proactively displays target base pay range for United Kingdom, Canada and USA based roles. When applying, please attach your resume/CV to be considered.

Location : Kolkata, India (In-office) Type : Full-time Experience : 5+ years About Client Our client is building a next-generation platform to power preschools of the future combining powerful tools for curriculum planning, classroom journaling, communication, and AI-driven insights — all designed to elevate the preschool experience for educators, parents, and school leaders. Built for web, iOS, and Android , it blends world-class engineering with deep domain expertise in early childhood education. We're already trusted by forward-thinking preschools across India and globally, and are just getting started. About The Role We're looking for a seasoned Python backend engineer to join our core engineering team at Agastya – a next-gen EdTech SaaS for preschools. You’ll work closely with the founders and product teams to build scalable, fast, and secure backend services – and power the AI-enabled features that are core to our platform. Key Responsibilities Architect and maintain microservices using Flask and FastAPI Design performant, secure, and well-documented APIs Optimize systems for scalability and low latency Work with GCP services (Cloud Run, Cloud Storage, Firestore, IAM, etc. Maintain existing CI/CD pipelines and observability tools (Sentry, logging, etc.) Collaborate with mobile/web engineers for full-stack delivery Support deployment and scaling of AI/ML features and services Requirements 5+ years of backend development experience in Python Familiar with AI tools and IDEs like Cursor, Claude Code, etc. Deep expertise in Flask and FastAPI frameworks Hands-on experience with Google Cloud Platform (GCP) Strong understanding of performance optimization and async programming Experience with NoSQL databases like MongoDB or Firestore Comfortable with Docker and GitHub Actions Startup mindset: proactive, execution-oriented, and quality-driven Bonus / Preferred Familiarity with foundation model APIs and tools like OpenAI, CoreWeave, Pinecone, LangChain, etc. Exposure to building or integrating AI-driven features in production apps Skills: fastapi,flask,firestore,python,mongodb,sentry,gcp,iam,async programming,github,ci/cd,cloud,github actions,nosql,cloud run,ai tools,cursor,docker,claude code,cloud storage

Area(s) of responsibility Job Description Key Responsibilities: Design, develop, and maintain scalable, efficient, and reliable systems to support GenAI and machine learning-based applications and use cases Lead the development of data pipelines, architectures, and tools to support data-intensive projects, ensuring high performance, security, and compliance Collaborate with other stakeholders to integrate AI and ML models into production-ready systems Work closely with non-backend expert counterparts, such as data scientists and ML engineers, to ensure seamless integration of AI and ML models into backend systems Ensure high-quality code, following best practices, and adhering to industry standards and company guidelines Hard Requirements Senior backend engineer with a proven track record of owning the backend portion of projects Experience collaborating with product, project, and domain team members Strong understanding of data pipelines, architectures, and tools Proficiency in Python (ability to read, write and debug Python code with minimal guidance) Mandatory Skills Machine Learning: experience with machine learning frameworks, such as scikit-learn, TensorFlow, or PyTorch Python: proficiency in Python programming, with experience working with libraries and frameworks, such as NumPy, pandas, and Flask Natural Language Processing: experience with NLP techniques, such as text processing, sentiment analysis, and topic modeling Deep Learning: experience with deep learning frameworks, such as TensorFlow, or PyTorch Data Science: experience working with data science tools Backend: experience with backend development, including design, development, and deployment of scalable and modular systems Artificial Intelligence: experience with AI concepts, including computer vision, robotics, and expert systems Pattern Recognition: experience with pattern recognition techniques, such as clustering, classification, and regression Statistical Modeling: experience with statistical modeling, including hypothesis testing, confidence intervals, and regression analysis

Area(s) of responsibility Job Description Key Responsibilities: Design, develop, and maintain scalable, efficient, and reliable systems to support GenAI and machine learning-based applications and use cases Lead the development of data pipelines, architectures, and tools to support data-intensive projects, ensuring high performance, security, and compliance Collaborate with other stakeholders to integrate AI and ML models into production-ready systems Work closely with non-backend expert counterparts, such as data scientists and ML engineers, to ensure seamless integration of AI and ML models into backend systems Ensure high-quality code, following best practices, and adhering to industry standards and company guidelines Hard Requirements Senior backend engineer with a proven track record of owning the backend portion of projects Experience collaborating with product, project, and domain team members Strong understanding of data pipelines, architectures, and tools Proficiency in Python (ability to read, write and debug Python code with minimal guidance) Mandatory Skills Machine Learning: experience with machine learning frameworks, such as scikit-learn, TensorFlow, or PyTorch Python: proficiency in Python programming, with experience working with libraries and frameworks, such as NumPy, pandas, and Flask Natural Language Processing: experience with NLP techniques, such as text processing, sentiment analysis, and topic modeling Deep Learning: experience with deep learning frameworks, such as TensorFlow, or PyTorch Data Science: experience working with data science tools Backend: experience with backend development, including design, development, and deployment of scalable and modular systems Artificial Intelligence: experience with AI concepts, including computer vision, robotics, and expert systems Pattern Recognition: experience with pattern recognition techniques, such as clustering, classification, and regression Statistical Modeling: experience with statistical modeling, including hypothesis testing, confidence intervals, and regression analysis

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”.

AI and Data Architecture Leadership  Design enterprise-grade AI and data architectures that combine structured and unstructured data, analytics, and advanced AI models (including GenAI, LLMs, and cognitive services).  Define scalable data pipelines and lakehouse/lake-centric architectures that power machine learning models and real-time analytics.  Architect multi-cloud AI/ML solutions with Microsoft Azure.  Architect LLM-powered solutions using both main streams Cloud based AI LLM such as Azure OpenAI and self-hosted open-source models (e.g., LLaMA, Mistral, Falcon) tailored to customer environments.  Have an understanding of the Architecture and what is required to deploy LLM’s within Customer’s Private DC environment to include infrastructure, data , applications etc. Solution Design & Governance  Lead architectural reviews of high-value deals, identifying technical risks and mitigation strategies.  Develop standard design patterns for all solution / portfolio offers. The reusable design blueprints will form the basis of the 70/30 Solution Hub approach where solutions should conform to 70% standard design with a maximum of 30% customisation. This approach is critical in ensuring that we conduct repeatable business which reduces risk and accelerators to streamline delivery and rapid time to value for customers. Customer Engagement  Present technical solutions to C-suite clients, demonstrating ROI and alignment with their goals.  Collaborate with sales teams to scope complex opportunities and craft compelling proposals. Portfolio Innovation  Foster a culture of innovation and forward-thinking within the CTO, Sales and Pre-sales Teams. React swiftly to changes in the business environment and implement solutions that support the company's growth and agility. Sensitivity: COMMERCIALLY CONFIDENTIAL  Define best practices for solution architecture, ensuring compliance with, security and scalability standards.  Mentor delivery teams on architectural frameworks and emerging tech adoption. Strategic Leadership  Develop and implement the Architecture strategy aligned with the company's overall business objectives. Provide visionary leadership to drive technological innovation and digital transformation. Microsoft Expertise  Utilize knowledge and experience in Azure, MS D365 to support the CTO Office provide architectural leadership and assist the CRO organization with product and solution offers. AI Expertise  Advise and drive the implementation of new technologies, particularly in the field of AI, to ensure we are a best-in-class example to our customers of being an AI enabled company.  Awareness of ethical considerations, data privacy / education, bias, and security in AI deployment Security and Compliance  Have an appreciation of IT security and compliance across the CTO, Sales, Product and portfolio organization for the solutions we are selling and managing for our customers. Vendor Management  Manage relationships with external IT vendors, contractors, and service providers. Collaborate with Legal and Procurement to negotiate contracts and ensure the delivery of high-quality services. Team Leadership  Lead, mentor, and develop the CTO team, fostering a collaborative and high-performance culture that supports a business enablement and customer first mindset. Ensure the team is equipped with the necessary skills and knowledge to meet the market and company’s needs. Sensitivity: COMMERCIALLY CONFIDENTIAL Skills  Proven experience architecting and delivering AI/ML platforms, data lakes, and intelligent applications at enterprise scale.  Demonstrable experience deploying local LLMs in production environments, including integration with LangChain, databases, and private storage.  Strong knowledge of enterprise architecture frameworks, cloud platforms, and emerging technologies.  Working knowledge of designing solutions that include Networks (Voice and Data), Hyperscaler environments (Main focus on Azure), Micro services, Business applications, Resilience, DR, Business Continuity, Security and how all these elements need to be considered when designing an e2e solution.  Understands what is involved for OnPrem / Private Cloud workload migration to Cloud environments or Hybrid cloud environments  Has had experience of working with Large Enterprise customers.  Proficiency in AI/ML, Cybersecurity frameworks, CX platforms, and Microsoft Cloud (Azure, M365, D365).  Excellent communication, presentation, and interpersonal skills.  Ability to build relationships with C-level executives, technical teams, and business stakeholders.  Commercial appreciation of being able to articulate the commercial benefits of using cloud based applications to customers.  Strong problem-solving skills and a proactive approach to challenges.  Experience with cloud computing, Data Centre and virtualization technologies.  Experience in Enterprise Architecture, Security policies/processes and solutions  Experience in government, travel, healthcare, Banking & finance, or manufacturing industries is a plus.

Job Role- Senior AI Developer Job Type- Full-Time Work Mode- Remote We’re seeking a Senior AI Developer with a strong background in building and deploying AI/ML-powered applications in production environments. This role is ideal for someone passionate about working with Large Language Models , Conversational AI , and cutting-edge AI infrastructure . Core Requirements: 5+ years of software development experience, with 2–3 years in AI/ML applications. Expert-level Python skills and deep knowledge of the AI/data science ecosystem. LLM expertise : Prompt engineering, RAG pipelines, and model fine-tuning. Conversational AI : NLU, dialogue management, and integration with STT/TTS APIs (e.g., OpenAI, Azure Speech, ElevenLabs). Solid grasp of system design , API architecture , and building scalable, low-latency systems. Preferred Skills: Hands-on experience with LangChain or LangGraph for complex agent workflows. Familiarity with cloud infrastructure (AWS), Docker/Kubernetes , and CI/CD. Experience with vector databases (Pinecone, Qdrant, Milvus, etc.). Bonus: Basic frontend development (React/Vue) and real-time voice streaming or STT model deployment (e.g., Whisper).

Bachelor’s or master’s degree in mathematics, Statistics, Data Science, Computer science/engineering or related field • 5 to 6 years' experience in data science, analytics, AI/ML and model deployment end to end. • Experience in financial services or stock market domain is plus • Leading team of 2 junior team member • Proven record in delivering business outcome through data driven insights and analytics/data science • Proficiency in Python, Pyspark, SQL, data engineering, time series data analysis • Sound knowledge of Generative AI • Excellent communication skills, problem solving and curiosity mind set to drive business outcome

We are seeking a highly analytical and technically skilled Data Analyst with hands-on experience in Machine Learning to join our team. The ideal candidate will be responsible for analyzing large datasets, generating actionable insights, and building ML models to drive business solutions and innovation. Key Responsibilities: Collect, clean, and analyze structured and unstructured data from multiple sources. Develop dashboards, visualizations, and reports to communicate trends and insights to stakeholders. Identify business challenges and apply machine learning algorithms to solve them. Build, evaluate, and deploy predictive and classification models using tools like Python, R, Scikit-learn, TensorFlow, etc. Collaborate with cross-functional teams including product, marketing, and engineering to implement data-driven strategies. Optimize models for performance, accuracy, and scalability. Automate data processing and reporting workflows using scripting and cloud-based tools. Stay updated with the latest industry trends in data analytics and machine learning. Required Skills & Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field . 2+ years of experience in data analytics and machine learning. Strong proficiency in SQL , Python (Pandas, NumPy, Scikit-learn), and data visualization tools like Tableau, Power BI , or Matplotlib/Seaborn . Experience with machine learning techniques such as regression, classification, clustering, NLP, and recommendation systems. Solid understanding of statistics, probability, and data mining concepts. Familiarity with cloud platforms like AWS, GCP, or Azure is a plus. Excellent problem-solving and communication skills. Job Types: Full-time, Permanent Pay: ₹10,000.00 - ₹15,000.00 per month Ability to commute/relocate: Kalighat, Kolkata, West Bengal: Reliably commute or planning to relocate before starting work (Preferred) Language: English (Preferred) Work Location: In person

Regional Manager – AI/ML Product & Engineering (India) Job Location: Pune (Hybrid) About KX KX software powers the time-aware data-driven decisions that enable fast-moving companies to outpace competitors, realizing the full potential of their AI investments. The KX platform delivers transformational value by addressing data challenges related to completeness, timeliness and efficiency, ensuring companies understand change over time and can achieve faster, more accurate insights at any scale, cost-effectively. KX is essential to the operations of the world's top investment banks, aerospace and defense, high-tech manufacturing, healthcare and life sciences, automotive and fleet telematics organizations. The company has established offices and a robust customer base across North America, Europe, and Asia Pacific. Overview Of The Role KX is hiring a seasoned Regional Manager to scale and lead our India operations, with a strong emphasis on AI/ML product engineering excellence. India is a strategic location for R&D talent, making this role critical to our global success. Key Responsibilities Technical & Engineering Oversight Support and guide engineering teams working on AI, ML, LLM integration, or KX product solutions Drive technical execution in collaboration with global engineering leadership Review architectures, code, and processes to maintain technical excellence Ensure agile delivery, quality assurance, and DevOps integration best practices People & Operations Management Build, mentor, and manage multidisciplinary teams (engineering, QA, support, documentation) Lead hiring, onboarding, performance management, and employee engagement in India Champion a high-performance culture that fosters continuous learning and accountability Regional Strategy & Growth Act as the primary point of contact between India teams and global stakeholders Contribute to regional business growth strategy, including scaling up talent and capabilities Oversee vendor relationships, statutory compliance, and office administration Manage budgetary planning and reporting in alignment with corporate objectives Skills FinTech & Financial Services: Deep understanding of financial services use cases, especially in AI/data-driven solutions. Engineering Leadership: Proven ability to lead and scale high-performing engineering teams. Agile & DevOps: Strong focus on agile delivery, CI/CD, and DevOps best practices. AI/ML & LLM Integration: Hands-on experience with AI/ML, Generative AI, LLMs, and NLP workflows. Distributed Systems: Expertise in building and managing scalable, cloud-native architectures. Technical Oversight: Skilled in architecture reviews, code quality, and driving engineering excellence. People & Team Management: Experienced in hiring, mentoring, and performance management. Stakeholder Engagement: Strong communicator with global stakeholders and cross-functional teams. Labour Law & Compliance: Knowledge of Indian employment laws, compliance, and HR practices. Vendor & Operations Management: Proficient in managing vendor relationships and operational logistics. Essential Experience 10+ years total experience with at least 4+ years in senior engineering management Proven hands-on background in software engineering (AI/ML, data platforms, or analytics preferred) Experience with Generative AI, LLMs, NLP workflows, or scalable distributed systems Strong leadership in hybrid/remote setups with multicultural, geographically distributed teams Sound understanding of Indian labour laws and employee engagement practices Experience managing India-based vendor partners (e.g., payroll, PEOs, outsourced support) Excellent communication and executive stakeholder management Preferred Qualifications Prior experience setting up or scaling India operations for a global tech company Familiarity with KX (kdb+/q) or similar time-series analytics platforms Understanding of SaaS/enterprise product delivery models Certifications or research exposure in AI/ML (preferred but not mandatory) Location & Workplace Type Hybrid working model based out of Pune Why Choose KX Data Driven: We lead with instinct and follow fact. Naturally Curious: We lean in, listen and learn fast. All In: We take ownership, take on challenges and give it our all. Benefits Competitive Salary Individually tailored training and skills development Private healthcare package and Employee Assistance Programme Enhanced maternity and paternity package Wellness Days and Volunteer Days

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 Science . 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.

Company Description Onelab Ventures is a leading technology company specializing in custom AI agent solutions and software development. We help startups and enterprises transform their ideas into innovative products and intelligent systems that drive growth and efficiency. Based on our experience of delivering over 100 successful projects with around 1 million weekly active users across various implementations, we possess deep expertise in AI, LLMs, SaaS, Fintech, and Healthcare. Our agile and collaborative development process ensures that clients' visions are seamlessly translated into reality by leveraging state-of-the-art technologies, advanced AI frameworks, and proven software development methodologies. Role Description This is a full-time, on-site role for a Technical Project Manager based in Pune. The ideal candidate will have hands-on experience managing software development life cycle (SDLC) projects, including AI/ML solutions, Python full stack applications, and MERN stack web platforms. You will be responsible for managing cross-functional teams, stakeholder communication, and end-to-end project execution. Key Responsibilities: Lead planning, execution, and delivery of multiple technical projects, ensuring they are delivered on time and within scope. Collaborate with engineering, design, QA, and product teams to define requirements and development roadmaps. Manage full project life cycle from concept to deployment using Agile/Scrum or hybrid methodologies. Oversee software development projects involving Python full stack, AI/ML models, and MERN stack architectures. Coordinate with data scientists, backend/frontend developers, and DevOps teams. Create and manage project documentation, schedules, risk logs, and status reports. Facilitate daily standups, sprint planning, retrospectives, and stakeholder updates. Track KPIs, resource allocation, and project milestones for continuous improvement. Identify and resolve project blockers, dependencies, and cross-team issues. Ensure compliance with quality standards, security protocols, and scalability requirements. Required Skills and Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 5+ years of project management experience in IT/software development. Proven experience managing SDLC-based projects and technical teams. Hands-on understanding of AI/ML concepts, Python full stack (FastAPI, Django, React/Node), and MERN stack development workflows. Proficient in Agile methodologies and tools like Jira, Trello, or Asana. Strong communication, organizational, and leadership skills. Experience with Git, CI/CD, and cloud platforms (AWS, Azure, GCP) is a plus. PMP, Scrum Master, or Agile certifications are preferred. Nice to Have: Experience working with remote/distributed teams. Familiarity with MLOps, microservices, and API integration. Exposure to UI/UX collaboration and wireframing tools (Figma, Sketch, etc.).

Job Description: We are looking for a Lead Generative AI Engineer with 3–5 years of experience to spearhead development of cutting-edge AI systems involving Large Language Models (LLMs) , Vision-Language Models (VLMs) , and Computer Vision (CV) . You will lead model development, fine-tuning, and optimization for text, image, and multi-modal use cases. This is a hands-on leadership role that requires a deep understanding of transformer architectures, generative model fine-tuning, prompt engineering, and deployment in production environments. Roles and Responsibilities: Lead the design, development, and fine-tuning of LLMs for tasks such as text generation, summarization, classification, Q&A, and dialogue systems. Develop and apply Vision-Language Models (VLMs) for tasks like image captioning, VQA, multi-modal retrieval, and grounding. Work on Computer Vision tasks including image generation, detection, segmentation, and manipulation using SOTA deep learning techniques. Leverage frameworks like Transformers, Diffusion Models, and CLIP to build and fine-tune multi-modal models. Fine-tune open-source LLMs and VLMs (e.g., LLaMA, Mistral, Gemma, Qwen, MiniGPT, Kosmos, etc.) using task-specific or domain-specific datasets. Design data pipelines , model training loops, and evaluation metrics for generative and multi-modal AI tasks. Optimize model performance for inference using techniques like quantization, LoRA, and efficient transformer variants. Collaborate cross-functionally with product, backend, and ML ops teams to ship models into production. Stay current with the latest research and incorporate emerging techniques into product pipelines. Requirements: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 3–5 years of hands-on experience in building, training, and deploying deep learning models, especially in LLM, VLM , and/or CV domains. Strong proficiency with Python , PyTorch (or TensorFlow), and libraries like Hugging Face Transformers, OpenCV, Datasets, LangChain, etc. Deep understanding of transformer architecture , self-attention mechanisms , tokenization , embedding , and diffusion models . Experience with LoRA , PEFT , RLHF , prompt tuning , and transfer learning techniques. Experience with multi-modal datasets and fine-tuning vision-language models (e.g., BLIP, Flamingo, MiniGPT, Kosmos, etc.). Familiarity with MLOps tools , containerization (Docker), and model deployment workflows (e.g., Triton Inference Server, TorchServe). Strong problem-solving, architectural thinking, and team mentorship skills.

Job Title: Product Owner / Subject Matter Expert (AI & Data) Experience Required: 10+ years Location: The selected candidate is required to work onsite for the initial 1 to 3-month project training and execution period at either our Kovilpatti or Chennai location, which will be confirmed during the onboarding process. After the initial period, remote work opportunities will be offered. Job Description: The Product Owner / Subject Matter Expert (AI & Data) will lead the definition, prioritization, and successful delivery of intelligent, data-driven products by aligning business needs with AI/ML and data platform capabilities. Acting as a bridge between stakeholders, data engineering teams, and AI developers, this role ensures that business goals are translated into actionable technical requirements. The candidate will manage product backlogs, define epics and features, and guide cross-functional teams throughout the product development lifecycle. They will play a crucial role in driving innovation, ensuring data governance, and realizing value through AI-enhanced digital solutions. Key Responsibilities: Define and manage the product roadmap across AI and data domains based on business strategy and stakeholder input. Translate business needs into technical requirements, user stories, and use cases for AI and data-driven applications. Collaborate with data scientists, AI engineers, and data engineers to prioritize features, define MVPs, and validate solution feasibility. Lead backlog refinement, sprint planning, and iteration reviews across multidisciplinary teams. Drive the adoption of AI models (e.g., LLMs, classification, prediction, recommendation) and data pipelines that support operational goals. Ensure inclusion of data governance, lineage, and compliance requirements in product development. Engage with business units to define KPIs and success metrics for AI and analytics products. Document product artifacts such as PRDs, feature definitions, data mappings, model selection criteria, and risk registers. Facilitate workshops, stakeholder demos, and solution walkthroughs to ensure ongoing alignment. Support responsible AI practices and secure data sharing standards. Technical Skills: Product Management Tools: Azure DevOps, Jira, Confluence AI/ML Concepts: LLMs, NLP, predictive analytics, computer vision, generative AI AI Tools: OpenAI, Azure OpenAI, MLflow, LangChain, prompt engineering Data Platforms: Azure Data Factory, Databricks, Synapse Analytics, Purview, SQL, NoSQL Data Governance: Metadata management, data lineage, PII handling, classification standards Documentation: PRDs, data dictionaries, process flows, KPI dashboards Methodologies: Agile/Scrum, backlog management, MVP delivery Qualification: Bachelors or Master’s in Computer Science, Data Science, Information Systems, or a related field. Preferred Certifications: Microsoft Certified (Azure AI Engineer Associate / Azure Data Fundamentals / Azure Data Engineer Associate). 10+ years of experience in product ownership, business analysis, or solution delivery in AI and data-centric environments. Proven success in delivering AI-enabled products and scalable data platforms. Strong communication, stakeholder facilitation, and technical documentation skills.

Job Description: Nogiz is hiring a passionate and skilled Python Developer (AI/ML) with 3+ years of experience to join our on-site team. If you're looking to work on impactful machine learning projects, collaborate with a motivated team, and grow in a technology-first environment, we’d love to hear from you. Responsibilities & Skills: Develop and deploy AI/ML models using Python and modern frameworks. Handle data preprocessing, feature engineering, and algorithm tuning. Work closely with cross-functional teams to integrate models into live systems. Optimize model performance and scalability. Write clean, maintainable code and clear documentation. Strong understanding of Python, OOPs concepts, and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy). Experience in model evaluation and statistical analysis. Good communication skills and team collaboration. Exposure to Agile methodologies is a plus. Job Type: Full-time Pay: ₹50000 -₹80000 per month Schedule: Day shift Morning shift Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python: 3 years (Preferred) Location Mohali, Punjab (Preferred) Work Location: In person Job Types: Full-time, Permanent Pay: ₹50,000.00 - ₹75,000.00 per month Ability to commute/relocate: Mohali, Punjab: Reliably commute or planning to relocate before starting work (Preferred) Experience: Python development: 3 years (Preferred) AI/ML: 3 years (Preferred) Location: Mohali, Punjab (Preferred) Work Location: In person

🌐 Join Sensiple Inc. – Drive Innovation in IT Services & SaaS Sales! Location: Siruseri, Chennai (Work From Office) Experience: 5+ years in IT Services / SaaS Sales About Sensiple: Sensiple Inc. is a US-headquartered global leader in IT consulting and services with 25+ years of experience. We deliver cutting-edge technology solutions across industries like healthcare, finance, and telecom. With a team of 1000+ professionals worldwide, we specialize in software development, IT staffing, and digital transformation—empowering top-tier clients around the globe. 💼 About the Role: Business Development Executive / Manager – IT Services & SaaS We’re looking for a seasoned sales professional who thrives in a fast-paced, tech-driven environment. This is a high-impact, hands-on role focused on expanding our footprint in the US market. Key Responsibilities: Drive sales for solutions in cloud (AWS, Azure, GCP) , Managed Services , AI/ML , Data Engineering , Power Platform , Contact Center , and Capital Markets Partner with pre-sales and solution engineering teams to craft compelling, client-specific proposals Lead outbound initiatives and targeted campaigns to generate and nurture a strong sales pipeline ✅ What We’re Looking For: 5+ years of proven experience in IT Services and SaaS sales, primarily targeting the US market Strong knowledge of modern tech stacks and services: Cloud, AI/ML, Contact Center Solutions, Capital Markets, etc. Proficiency in using CRM platforms, LinkedIn Sales Navigator, and email marketing tools Exceptional communication, presentation, and consultative selling skills Ready to be part of a dynamic team shaping the future of IT services? Apply now and take your sales career to the next level with Sensiple Inc.

About the Role: We are seeking a highly motivated and skilled AI/ML Engineer to join our innovation team focused on developing intelligent systems to improve internal processes, reduce manual workload, and accelerate project delivery timelines. The ideal candidate will have experience in designing, developing, and deploying AI agents, automation tools, and machine learning models that can streamline operations and enhance overall productivity across the organization. Key Responsibilities: Design, build, and deploy intelligent AI agents and automation tools that optimize internal workflows and reduce repetitive tasks Develop machine learning models and algorithms to support decision-making and improve operational efficiency Implement AI-driven solutions for use cases such as task automation, knowledge retrieval, data summarization, and intelligent reporting Research and experiment with various AI/ML approaches to identify the best-fit technologies for business problems Collaborate with cross-functional teams to identify pain points and deliver AI-based tools that support their functions Apply prompt engineering and fine-tuning techniques to maximize the value of large language models (LLMs) Develop systems that enable automated document generation, test case creation, ticketing, and other IT operations Ensure ethical, efficient, and scalable implementation of AI across internal tools and processes Maintain clear documentation of AI workflows, architecture, and operational procedures Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Proficiency in Python and strong experience in machine learning and deep learning frameworks Proven experience in developing AI-powered agents, automation systems, or productivity-enhancing tools Strong understanding of NLP, ML algorithms, LLMs, and AI-driven workflow automation Ability to work independently on research and prototyping of new AI capabilities Excellent problem-solving and communication skills Comfortable working in fast-paced and agile environments Preferred Qualifications: Experience in designing multi-agent systems or autonomous workflow assistants Understanding of retrieval-based systems, semantic search, or document intelligence Familiarity with MLOps practices and scalable deployment of ML solutions Experience using AI to automate software development lifecycle tasks such as code review, documentation, and QA Background in building internal tooling for IT or engineering teams

Company Overview Jetbro is a premium technology consulting, systems integration, and digital transformation firm that partners with organizations where tech is central to business operations. We specialise in infrastructural and mission-critical digital transformation — the kind that enables scale, eliminates bottlenecks, and creates lasting change in how businesses operate. We work with traditional businesses, government institutions, and high-growth companies across domains like manufacturing, logistics, utilities, education, finance, and professional services. Our focus areas include custom product development, system modernization, AI/ML integration into workflows, and building/managing tech teams from scratch. At Jetbro, we don’t chase flashy trends — we solve hard, unglamorous problems with precision and reliability. Our philosophy is simple: We love boring, because it works. We are a lean, co-founders led team that thrives on ownership, trust, and getting things done. Sales at Jetbro isn't about pushing projects — it’s about identifying where a strong tech intervention can change the trajectory of an organization, and making that happen. We’re looking for a sharp, articulate, and self-driven Sales Associate (with 1-3 Years of Technology experience) who can think beyond just lead generation. Someone who understands the value of solving real operational problems with tech, and can confidently hold conversations with founders, CXOs, and business heads. You don’t necessarily need to be technical — but you do need the curiosity to learn, the ability to ask the right questions, and the discipline to follow through. If you can write a great email, structure a solid pitch, and thrive in a high-trust, high-responsibility environment, you’ll fit right in. Roles and Responsibilities Identify and qualify high-potential leads across industries including traditional businesses, high-growth startups, and mid-large enterprises Manage outreach via email, LinkedIn, and inbound responses; own the early stages of the sales funnel Conduct discovery calls to understand client needs and match them with Jetbro’s offerings Collaborate with internal teams to put together tailored pitch decks, proposals, and solution plans Track and maintain leads, accounts, and deal stages on the CRM Coordinate proposal submissions, follow-ups, and ensure timely communication with prospects Research industry trends and update pitch strategies accordingly Support founders in strategic sales conversations and new vertical development Requirements Mandatory Skills Excellent communication — both verbal and written Ability to understand and articulate tech and digital transformation solutions clearly Prior experience in B2B sales or pre-sales (at least 1 year) Basic understanding of how custom software, system integrations, and AI solutions are sold Strong research, structuring, and follow-through skills Comfort with tools like Google Workspace, LinkedIn, Spreadsheets. Comfort with AI tools that boost productivity. Good To Have Experience in consultative selling to mid-large companies (50Cr+ revenue or 50+ employee orgs) Familiarity with outbound automation tools (Apollo, Lemlist, Sales Navigator) Understanding of solutioning and scoping for service-based projects Prior exposure to IT services, SaaS, or digital product development domains Writing experience in proposal, pitch, or client communication formats Benefits Opportunity to work on innovative and AI-driven projects with a fast-paced Technology firm. Mentorship and growth opportunities within the organization. Collaborative and inclusive company culture. Professional development and learning opportunities.

Company Description Vrinsoft Technology Pvt Ltd is a leading mobile app development company in India, committed to client success for over 15 years. Recognized for our expertise in AI/ML, Digital Transformation, Flutter, React, and Custom Apps, we are featured on Clutch 2025. Our team of over 200 professionals delivers reliable solutions to clients in the USA, UK, Canada, Australia, Germany, UAE, and other regions. We have developed 2000+ apps for various industries, including retail, healthcare, fintech, and logistics, focusing on providing a smooth and effective app development experience. Experience : 3+ Years, Proven experience of working with IT Service, Immediate Joiners Preferred. Role Description This is a full-time on-site role for a Senior Social Media Executive at our Ahmedabad location. The Senior Social Media Executive will be responsible for managing social media marketing campaigns, creating social media content, and developing strategies to increase brand engagement. Day-to-day tasks include monitoring social media channels, analyzing performance metrics, coordinating with the marketing team, and ensuring consistent brand messaging across all platforms. Qualifications Proficient in Social Media Marketing and Social Media Content Creation Experience in Digital Marketing and Marketing Strong Communication skills Excellent analytical and multitasking abilities Ability to work collaboratively in a team environment Bachelor's degree in Marketing, Communications, or a related field Experience in the technology sector is a plus

Company Description Vrinsoft Technology Pvt. Ltd. is the number one Mobile App Development Company in India, committed to client success for over 15 years. Recognized for our expertise in AI/ML, Digital Transformation, Flutter, React, and Custom Apps, our team of 200+ professionals delivers reliable solutions to clients across the USA, UK, Canada, Australia, Germany, UAE, and other regions. We have developed 2,000+ apps for businesses of all sizes, across industries like retail, healthcare, fintech, and logistics. Our focus is to provide a smooth and effective app development experience for every client. Role Description This is a full-time, on-site role for a Junior Business Development Executive (BDE) located in Ahmedabad. The Junior BDE will be responsible for identifying new business opportunities, building client relationships, and supporting sales initiatives. Day-to-day tasks include market research, preparing sales presentations, following up on leads, and participating in client meetings and negotiations. Experience : 1-2 years, Proven experience of working with IT Service, Immediate Joiners Preferred. Qualifications Proficiency in Business Development, Client Relationship Management, and Sales Strong skills in Market Research, Lead Generation, and Sales Presentations Excellent written and verbal communication skills Ability to work independently and as part of a team Experience in the IT or app development industry is a plus Bachelor's degree in Business, Marketing, or a related field

Role- C++ Developer Job Description:- Tech Stack: ROCm/CUDA, C & C++ (both required), Python, Linux, PowerShell. Domain Knowledge: GPU fundamentals, PC architecture awareness, basic AI/ML concepts (Knowledge), workflows. Exp:-3-5yrs Skills:- C & C++, CUDA If interested, share your CV to abhiramisathian@mirafra.com

Position Details Role: Senior Appian Developer Location: Jaipur, Rajasthan (Work from Office) Experience Required: 4+ years Certification: Appian Senior Developer Certification Notice Period: Immediate to 30 Days (Preferred) About the Role Appyzie is seeking a Senior Appian Developer who can take charge of end-to-end Appian solution delivery. This role is ideal for someone who has deep technical expertise, thrives in fast-paced development environments, and can guide teams to build scalable, high-quality applications using the Appian platform. Key Responsibilities Design, development, and deployment of end-to-end Appian applications. Translate complex business requirements into scalable and performant Appian solutions. Collaborate with cross-functional teams including business analysts, architects, and QA. Guide junior developers and conduct code reviews to ensure adherence to best practices. Build reusable components, frameworks, and accelerators to improve delivery speed. Stay updated with the latest Appian features, plugins, and industry trends to drive innovation. Contribute to solution architecture and integration design discussions. Required Skills & Experience Appian Expertise: Appian Senior Developer certification. Proven experience in delivering multiple full-cycle Appian projects (5+ years). Strong command over Process Models, SAIL, Interfaces, Expression Rules, and Integrations. Experience with Appian plug-in development, smart services, and Web APIs. Familiarity with Appian Cloud and on-premises deployment models. Technical Proficiency: Proficient in Appian Designer, CDTs, data store entities, and security configurations. Strong understanding of relational databases and ability to write complex SQL queries. Experience integrating Appian with external systems via REST, SOAP, or other APIs. Exposure to Appian DevOps tools and CI/CD pipelines. Experience with modern Appian capabilities like AI/ML and RPA is a plus. Process & Delivery: Worked in Agile/Scrum environments using tools like JIRA or Azure DevOps. Ability to estimate development effort, plan sprints, and deliver high-quality code on time. Experience in leading teams and mentoring junior developers.

Urgent Opening: Web Scraping – Data Crawling, AI/ML Location: Permanent Work From Home Job Type: Full-Time | Permanent Experience: 1.5+ Years (Preferred) About the Role We are looking for a skilled and experienced Python Developer with strong expertise in data crawling, web scraping, AI/ML, and CAPTCHA solving techniques. The ideal candidate is passionate about automation, data pipelines, and problem-solving with a deep understanding of the web ecosystem. This is a permanent remote opportunity, ideal for professionals looking to work in a flexible and innovative environment while delivering high-quality solutions in data acquisition and intelligent automation. Key Responsibilities Design and implement scalable data crawling/scraping solutions using Python. Develop tools to bypass or solve CAPTCHAs (e.g., reCAPTCHA, hCaptcha) using AI/ML or third-party APIs. Write efficient and robust data extraction and parsing logic for large-scale web data. Build and maintain AI/ML models for tasks such as image recognition, pattern detection, and anomaly detection. Optimize crawling infrastructure for speed, reliability, and anti-blocking strategies (rotating proxies, headless browsers, etc.). Integrate with APIs and databases to store, manage, and process scraped data. Monitor and troubleshoot scraping systems and adapt to changes in target websites. Collaborate with the team to define requirements, plan deliverables, and implement best practices. Required Skills & Qualifications 1.5+ years of hands-on experience with Python in web scraping/data crawling. Strong experience with Scrapy and Selenium. Deep understanding of CAPTCHA types and proven experience in solving or bypassing them. Proficient in AI/ML frameworks: TensorFlow, PyTorch, scikit-learn, or OpenCV. Experience with OCR tools (Tesseract, EasyOCR) and image pre-processing techniques. Familiarity with anti-bot techniques, headless browsers, and proxy rotation. Solid understanding of HTML, CSS, JavaScript, HTTP protocols, and website structure. Strong problem-solving skills and attention to detail. Perks & Benefits Permanent Work from Home Flexible work hours Competitive salary based on experience Opportunities for skill development and upskilling Performance-based incentives How to Apply Interested candidates can email their updated resume and portfolio (if any) to jyoti@transformez.in with the subject line: Python Developer – Data Crawling & AI.

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 183 million registered learners as of June 30, 2025 . Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you. Job Overview: We are seeking a highly skilled and collaborative Data Scientist to join our team. Reporting to the Director of Data Science, you will work alongside and provide technical guidance to a subset of our Analytics and Insights group and provide support to a few business lines including Industry and University Partnerships, and Content/Credentials supporting Product, Marketing, Content, Finance, Services, and more. As a Data Scientist, you will influence strategies and roadmaps for business units within your purview through actionable insights. Your responsibilities will include forecasting content performance, informing content acquisition and prescribing improvements, addressing A/B testing setups and reporting, answering ad-hoc business questions, defining metrics and goals, building and managing dashboards, causal inference and ML modeling, supporting business event tracking and unification, and more. The ideal candidate will be a creative and collaborative Data Scientist who can proactively drive results in their areas of focus, and provide guidance and best practices around statistical modeling and experimentation, data analysis, and data quality. Responsibilities: As a Data Scientist, you will assume responsibility for guiding the planning, assessment, and execution of our content initiatives and the subsequent engagement and learner and student success. You will play a key role in identifying gaps in content and proposing ways to acquire new, targeted content or enhance existing content, in addition to creating and leveraging forecasts of content pre and post launch, defining KPIs and creating reports for measuring the impact of diverse tests, product improvements, and content releases. In this position, you will guide other Data Scientists and provide technical feedback throughout various stages of project development, including optimizing analytical models, reviewing code, creating dashboards, and conducting experimentation. You will examine and prioritize projects and provide leadership with insightful feedback on results. Your role will require that you analyze the connection between our consumer-focused business and our learner’s pathway to a degree, and optimize systems to effectively lead to the optimal outcome for our learners. In this position, you will collaborate closely with the data engineering and operations teams to ensure that we have the right content at the right time for our learners. You will also analyze prospect behavior to identify content acquisition and optimization opportunities that promote global growth in the Consumer and Degrees business, and assist content, marketing, and product managers in developing and measuring growth initiatives; resulting in more lives changed through learning. In this role, you’ll be directly involved in the planning, measurement, and evaluation of content , engagement, and customer success initiatives and experiments. Proactively identify gaps in content availability and recommend targeted content acquisition or improvement to existing content. Define and develop KPIs and create reports to measure impact of various tests, content releases, product improvements, etc. Mentor Data Scientists and offer technical guidance on projects; dashboard creation, troubleshooting code, statistical modeling, experimentation, and general analysis optimization. Run exploratory analyses, uncover new areas of opportunity, create and test hypotheses, develop dashboards, and assess the potential upside of a given opportunity. Work closely with our data engineering and operations teams to ensure that content funnel tracking supports product needs and maintain self-serve reporting tools. Advise content, marketing, and product managers on experimentation and measurement plans for key growth initiatives Basic Qualifications: Background in applied math, computer science, statistics, or a related technical field 5+ years of experience using data to advise product or business teams 2+ years of experience applying statistical inference techniques to business questions Excellent business intuition, cross-functional communication, and project management Strong applied statistics and data visualization skills Proficient with at least one scripting language (e.g. Python), one statistical software package (e.g. R, NumPy/SciPy/Pandas), and SQL Preferred Qualifications: Experience at EdTech or Content Subscription business Experience partnering with SaaS sales and/or marketing organizations Experience working with Salesforce and/or Marketo data Experience with Airflow, Databricks and/or LookerExperience with Amplitude If this opportunity interests you, you might like these courses on Coursera: Go Beyond the Numbers: Translate Data into Insights Applied AI with DeepLearning Probability & Statistics for Machine Learning & Data Science Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here.

Job Title: Data Scientist / Machine Learning Specialist Location: Hyderabad (Hybrid Model) Experience: 3 to 5 Years Compensation: Up to ₹30 LPA Joining: Immediate or Short Notice Preferred About the Role: We are looking for a highly skilled and motivated Machine Learning Specialist / Data Scientist with a strong foundation in data science and a deep understanding of clinical supply chain or supply chain operations. This individual will play a critical role in developing predictive models, optimizing logistics, and enabling data-driven decision-making within our clinical trial supply chain ecosystem. Key Responsibilities: * Design, develop, and deploy machine learning models for demand forecasting, inventory optimization, and supply chain efficiency * Analyze clinical trial and logistics data to uncover insights and enable proactive planning * Collaborate with cross-functional teams including clinical operations, IT, and supply chain to integrate ML solutions into workflows * Build interactive dashboards and tools for real-time analytics and scenario modeling * Ensure models are scalable, maintainable, and compliant with regulatory frameworks (e.g., GxP, 21 CFR Part 11) * Stay up to date with the latest advancements in ML/AI and bring innovative solutions to complex clinical supply challenges Required Qualifications: * Master’s or Ph.D. in Computer Science, Data Science, Engineering, or a related field * 3–5 years of hands-on experience in machine learning, data science, or AI (preferably in healthcare or life sciences) * Proven experience with clinical or supply chain operations such as demand forecasting, IRT systems, and logistics planning * Proficiency in Python, R, SQL, and ML frameworks like scikit-learn, TensorFlow, or PyTorch * Solid knowledge of statistical modeling, time series forecasting, and optimization techniques * Strong analytical mindset and excellent communication skills * Ability to thrive in a fast-paced, cross-functional environment Preferred Qualifications: * Experience working with clinical trial systems and data (e.g., EDC, CTMS, IRT) * Understanding of regulatory requirements in clinical research * Familiarity with cloud platforms such as AWS, Azure, or GCP * Exposure to MLOps practices for model deployment and monitoring Job Type: Full-time Pay: ₹3,000,000.00 - ₹3,500,000.00 per year Ability to commute/relocate: Hyderabad, Telangana: Reliably commute or planning to relocate before starting work (Required) Education: Bachelor's (Required) Experience: Data science: 3 years (Required) Machine learning: 3 years (Preferred) Python: 3 years (Required) PyTorch: 3 years (Required) Work Location: In person