1575 Sagemaker Jobs - Page 36

Media Solution Developer – AI/ML & Automation Focus Role Summary We are seeking a technically strong Media Solution Developer to build AI-powered automation solutions that transform digital media operations. This role focuses on applying AI/ML, NLP, neural networks , and computer vision to automate processes such as campaign setup, QA, reporting, and billing. You will work closely with solution architects to bring intelligent designs to life—improving accuracy, efficiency, and scalability across media workflows. A media background is not required , but deep technical expertise is. Key Responsibilities Design and implement AI/ML solutions that automate repetitive and manual tasks in media operations (e.g., campaign setup, anomaly detection in QA, taxonomy validation, asset analysis). Build and deploy models using machine learning, NLP, and computer vision to improve operational efficiency and decision-making. Develop intelligent automation systems and data pipelines in Python, and integrate them with external advertising platforms via APIs (e.g., Meta, DV360, YouTube). Collaborate with solution architects to convert business problems into scalable, production-ready ML automation solutions. Continuously optimize model and system performance, ensuring reliability and responsiveness in automated workflows. Maintain clean, well-documented code with strong adherence to testing, version control, and compliance standards. Contribute to the broader AI-driven automation strategy across media operations. Ideal Profile: 3–5 years of hands-on experience in machine learning, AI engineering, or data science roles, with a focus on automation. Strong skills in Python, with experience using ML frameworks such as TensorFlow, PyTorch, scikit-learn, and NLP libraries like spaCy or Hugging Face. Experience developing: Automation pipelines using AI/ML to replace or optimize manual media tasks NLP models for text classification, validation, or content tagging Computer vision models for creative asset categorization or quality checks Proven ability to work with APIs and cloud ML platforms (e.g., Google Vertex AI, AWS Sagemaker, Azure ML). Strong understanding of automation architecture and performance optimization in production environments. Ability to work in agile teams and collaborate closely with architects and business stakeholders. Nice to Have: Experience with MLOps (e.g., MLflow, Kubeflow) and deployment orchestration tools (e.g., Airflow, Docker, Kubernetes). Exposure to advertising or marketing tech (DSPs, Meta, Google Ads) is a plus—not mandatory. Familiarity with automation principles in RPA tools (e.g., UiPath) is a bonus, though the primary focus is AI-first automation. Exposure to media buying platforms or AdTech/MarTech ecosystems (DSPs, Meta, Google Marketing Platform).

Job Description: We are seeking a skilled and motivated Data Scientist to join our team. The ideal candidate will have strong experience in AI/ML, Python, AWS, and Big Data technologies. You will be responsible for designing and implementing data-driven solutions, building predictive models, and leveraging cloud platforms to drive business insights and innovation. Key Responsibilities: Develop and deploy machine learning and deep learning models for various business use cases Analyze large datasets to extract actionable insights using Python and Big Data tools Build and maintain data pipelines and workflows in cloud environments like AWS Collaborate with cross-functional teams to identify opportunities for data science applications Communicate complex technical findings in a clear and concise manner Qualifications: Proficiency in Python and ML libraries (Scikit-learn, TensorFlow, PyTorch, etc.) Hands-on experience with AWS services (S3, EC2, SageMaker, Lambda, etc.)

Location: IN - Hyderabad Telangana Goodyear Talent Acquisition Representative: Kerr Bianca Beech Sponsorship Available: No Relocation Assistance Available: No Primary Responsibilities of the Role: The engineer will be responsible for Goodyear Mobility Cloud, a cloud-based software platform that captures data from vehicles (Devices and Integrations), Curates data into usable insights via algorithms, and presents insights for customers to consume and act on. You will lead the design and development of Python-based applications and services You will implement cloud-native solutions using AWS services You will mentor and guide the Python development team, promoting best practices and code quality You will collaborate with data scientists and analysts to implement data processing pipelines You will participate in architecture discussions and contribute to technical decision-making You will ensure the scalability, reliability, and performance of Python applications on AWS You will stay current with Python ecosystem developments, AWS services, and industry best practices Primary Requirements: You have Bachelor's degree in Computer Science, Software Engineering, or related field You have 7+ years of experience in Python development, with at least 3 years in a lead role You have strong proficiency in Python and its major frameworks (e.g., Django, Flask, FastAPI) You have experience with data processing libraries (e.g., Pandas, NumPy, SciPy) You have familiarity with big data technologies (e.g., Apache Spark, Hadoop) You have knowledge of RESTful API design and implementation You have solid understanding of AWS services and cloud architecture You are AWS Certified Developer - Associate or AWS Certified Data Analytics - Specialty certification preferred You have the following knowledge and skills: Python Programming Web framework expertise (Django, Flask, or FastAPI) Data processing and analysis Database technologies (SQL and NoSQL) API development AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker, EMR) Infrastructure as Code (e.g., AWS CloudFormation, Terraform) Test-Driven Development (TDD) DevOps practices Agile methodologies You have significant experience working with Lambda Goodyear is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, ethnicity, citizenship, or any other characteristic protected by law. Goodyear is one of the world’s largest tire companies. It employs about 68,000 people and manufactures its products in 53 facilities in 20 countries around the world. Its two Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate

We are Hiring!!! Job Title: AI Developer Job Summary: We are seeking a highly skilled AI Developer to join our team. The successful candidate will be responsible for designing, developing, and deploying artificial intelligence and machine learning models to solve complex business problems. Key Responsibilities: - Design and develop AI and ML models using techniques such as deep learning, natural language processing, and computer vision - Work with large datasets to train and test AI models - Collaborate with cross-functional teams to identify business problems and develop AI solutions - Deploy AI models to production environments and ensure scalability and reliability - Continuously monitor and improve AI model performance - Stay up-to-date with industry trends and advancements in AI and ML Requirements: - Strong background in computer science, mathematics, or a related field - Experience with AI and ML frameworks such as TensorFlow, PyTorch, or scikit-learn - Proficiency in programming languages such as Python, Java, or C++ - Experience with data preprocessing, feature engineering, and model optimization - Strong analytical and problem-solving skills Nice to Have: - Experience with cloud-based AI platforms such as AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning - Knowledge of containerization using Docker and orchestration using Kubernetes - Experience with Agile development methodologies How to Apply: Submit your resume and cover letter to hr@akhiraservices.com Connect with Us Call us at +91 78454 16995 If you're a skilled AI developer looking to build innovative solutions and drive business impact, we'd love to hear from you! Job Types: Full-time, Permanent Pay: ₹6,000.00 - ₹20,000.00 per month Location Type: In-person Schedule: Day shift Location: Coimbatore, Tamil Nadu (Required) Work Location: In person

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking an experienced Solution Architect/Business Development Manager with expertise in AI/ML to drive business growth and deliver innovative solutions. The successful candidate will be responsible for assessing client business requirements, designing technical solutions, recommending AI/ML approaches, and collaborating with delivery organizations to implement end-to-end solutions. What You'll Be Doing Key Responsibilities: Business Requirement Analysis: Assess client's business requirements and convert them into technical specifications that meet business outcomes. AI/ML Solution Design: Recommend the right AI/ML approaches to meet business requirements and design solutions that drive business value. Opportunity Sizing: Size the opportunity and develop business cases to secure new projects and grow existing relationships. Solution Delivery: Collaborate with delivery organizations to design end-to-end AI/ML solutions, ensuring timely and within-budget delivery. Costing and Pricing: Develop costing and pricing strategies for AI/ML solutions, ensuring competitiveness and profitability. Client Relationship Management: Build and maintain strong relationships with clients, understanding their business needs and identifying new opportunities. Technical Leadership: Provide technical leadership and guidance to delivery teams, ensuring solutions meet technical and business requirements. Knowledge Sharing: Share knowledge and expertise with the team, contributing to the development of best practices and staying up-to-date with industry trends. Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to ensure successful project delivery. Requirements: Education: Master's degree in Computer Science, Engineering, or related field Experience: 10+ years of experience in AI/ML solution architecture, business development, or a related field Technical Skills: Strong technical expertise in AI/ML, including machine learning algorithms, deep learning, and natural language processing. Technical Skills: Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Technical Skills: Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Hyperscaler: Experience with cloud-based AI/ML platforms and tools (e.g., AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform) Softskill: Excellent business acumen and understanding of business requirements and outcomes Softskill: Strong communication and interpersonal skills, with ability to work with clients and delivery teams Business Acumen: Experience with solution costing and pricing strategies with Strong analytical and problem-solving skills, with ability to think creatively and drive innovation Nice to Have: Experience with Agile development methodologies Knowledge of industry-specific AI/ML applications (e.g., healthcare, finance, retail) Certification in AI/ML or related field (e.g., AWS Certified Machine Learning – Specialty) Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA We are seeking an experienced Solution Architect/Business Development Manager with expertise in AI/ML to drive business growth and deliver innovative solutions. The successful candidate will be responsible for assessing client business requirements, designing technical solutions, recommending AI/ML approaches, and collaborating with delivery organizations to implement end-to-end solutions. What You'll Be Doing Key Responsibilities: Business Requirement Analysis: Assess client's business requirements and convert them into technical specifications that meet business outcomes. AI/ML Solution Design: Recommend the right AI/ML approaches to meet business requirements and design solutions that drive business value. Opportunity Sizing: Size the opportunity and develop business cases to secure new projects and grow existing relationships. Solution Delivery: Collaborate with delivery organizations to design end-to-end AI/ML solutions, ensuring timely and within-budget delivery. Costing and Pricing: Develop costing and pricing strategies for AI/ML solutions, ensuring competitiveness and profitability. Client Relationship Management: Build and maintain strong relationships with clients, understanding their business needs and identifying new opportunities. Technical Leadership: Provide technical leadership and guidance to delivery teams, ensuring solutions meet technical and business requirements. Knowledge Sharing: Share knowledge and expertise with the team, contributing to the development of best practices and staying up-to-date with industry trends. Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to ensure successful project delivery. Requirements: Education: Master's degree in Computer Science, Engineering, or related field Experience: 10+ years of experience in AI/ML solution architecture, business development, or a related field Technical Skills: Strong technical expertise in AI/ML, including machine learning algorithms, deep learning, and natural language processing. Technical Skills: Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Technical Skills: Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Hyperscaler: Experience with cloud-based AI/ML platforms and tools (e.g., AWS SageMaker, Azure Machine Learning, Google Cloud AI Platform) Softskill: Excellent business acumen and understanding of business requirements and outcomes Softskill: Strong communication and interpersonal skills, with ability to work with clients and delivery teams Business Acumen: Experience with solution costing and pricing strategies with Strong analytical and problem-solving skills, with ability to think creatively and drive innovation Nice to Have: Experience with Agile development methodologies Knowledge of industry-specific AI/ML applications (e.g., healthcare, finance, retail) Certification in AI/ML or related field (e.g., AWS Certified Machine Learning – Specialty) Location: Delhi or Bangalore Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

PwC AC is hiring for Data scientist Apply and get a chance to work with one of the Big4 companies #PwC AC. Job Tit le : Data scientist Years of Experienc e: 4+ years Shift Timin gs: 2PM-11PM Qualificati on: Graduate and above(Full time) About PwC CTIO – AI Engineering PwC’s Commercial Technology and Innovation Office (CTIO) is at the forefront of emerging technology, focused on building transformative AI-powered products and driving enterprise innovation. The AI Engineering team within CTIO is dedicated to researching, developing, and operationalizing cutting-edge technologies such as Generative AI, Large Language Models (LLMs), AI Agents, and more. Our mission is to continuously explore what's next—enabling business transformation through scalable AI/ML solutions while remaining grounded in research, experimentation, and engineering excellence. Role Overview We are seeking a Senior Associate – Data Science/ML/DL/GenAI to join our high-impact, entrepreneurial team. This individual will play a key role in designing and delivering scalable AI applications, conducting applied research in GenAI and deep learning, and contributing to the team’s innovation agenda. This is a hands-on, technical role ideal for professionals passionate about AI-driven transformation. Key Responsibilities Design, develop, and deploy machine learning, deep learning, and Generative AI solutions tailored to business use cases. Build scalable pipelines using Python (and frameworks such as Flask/FastAPI) to operationalize data science models in production environments. Prototype and implement solutions using state-of-the-art LLM frameworks such as LangChain, LlamaIndex, LangGraph, or similar. Also developing applications in streamlit/chainlit for demo purposes. Design advanced prompts and develop agentic LLM applications that autonomously interact with tools and APIs. Fine-tune and pre-train LLMs (HuggingFace and similar libraries) to align with business objectives. Collaborate in a cross-functional setup with ML engineers, architects, and product teams to co-develop AI solutions. Conduct R&D in NLP, CV, and multi-modal tasks, and evaluate model performance with production-grade metrics. Stay current with AI research and industry trends; continuously upskill to integrate the latest tools and methods into the team’s work. Required Skills & Experience 4 to 9 years of experience in Data Science/ML/AI roles. Bachelor’s degree in Computer Science, Engineering, or equivalent technical discipline (BE/BTech/MCA). Proficiency in Python and related data science libraries: Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, PyTorch, Keras, etc. Hands-on experience with Generative AI , including prompt engineering, LLM fine-tuning, and deployment. Experience with Agentic LLMs and task orchestration using tools like LangGraph or AutoGPT-like flows. Strong knowledge of NLP techniques, transformer architectures, and text analysis. Proven experience working with cloud platforms (preferably Azure; AWS/GCP also considered). Understanding of production-level AI systems including CI/CD, model monitoring, and cloud-native architecture. (Need not develop from scratch) Familiarity with ML algorithms: XGBoost, GBM, k-NN, SVM, Decision Forests, Naive Bayes, Neural Networks, etc. Exposure to deploying AI models via APIs and integration into larger data ecosystems. Strong understanding of model operationalization and lifecycle management. Good to Have Experience with Docker, Kubernetes, and containerized deployments for ML workloads. Use of MLOps tooling and pipelines (e.g., MLflow, Azure ML, SageMaker, etc.). Experience in full-stack AI applications, including visualization (e.g., PowerBI, D3.js). Demonstrated track record of delivering AI-driven solutions as part of large-scale systems. Soft Skills & Team Expectations Strong written and verbal communication; able to explain complex models to business stakeholders. Ability to independently document work, manage requirements, and self-drive technical discovery. Desire to innovate, improve, and automate existing processes and solutions. Active contributor to team knowledge sharing, technical forums, and innovation drives. Strong interpersonal skills to build relationships across cross-functional teams. A mindset of continuous learning and technical curiosity. Preferred Certifications (at least two are preferred) Certifications in Machine Learning, Deep Learning, or Natural Language Processing. Python programming certifications (e.g., PCEP/PCAP). Cloud certifications (Azure/AWS/GCP) such as Azure AI Engineer, AWS ML Specialty, etc. Why Join PwC CTIO? Be part of a mission-driven AI innovation team tackling industry-wide transformation challenges. Gain exposure to bleeding-edge GenAI research, rapid prototyping, and product development. Contribute to a diverse portfolio of AI solutions spanning pharma, finance, and core business domains. Operate in a startup-like environment within the safety and structure of a global enterprise. Accelerate your career as a deep tech leader in an AI-first future.

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. This position requires expertise in designing, developing, debugging, and maintaining AI-powered applications and data engineering workflows for both local and cloud environments. The role involves working on large-scale projects, optimizing AI/ML pipelines, and ensuring scalable data infrastructure. As a PMTS, you will be responsible for integrating Generative AI (GenAI) capabilities, building data pipelines for AI model training, and deploying scalable AI-powered microservices. You will collaborate with AI/ML, Data Engineering, DevOps, and Product teams to deliver impactful solutions that enhance our products and services. Additionally, it would be desirable if the candidate has experience in retrieval-augmented generation (RAG), fine-tuning pre-trained LLMs, AI model evaluation, data pipeline automation, and optimizing cloud-based AI deployments. Responsibilities AI-Powered Software Development & API Integration Develop AI-driven applications, microservices, and automation workflows using FastAPI, Flask, or Django, ensuring cloud-native deployment and performance optimization. Integrate OpenAI APIs (GPT models, Embeddings, Function Calling) and Retrieval-Augmented Generation (RAG) techniques to enhance AI-powered document retrieval, classification, and decision-making. Data Engineering & AI Model Performance Optimization Design, build, and optimize scalable data pipelines for AI/ML workflows using Pandas, PySpark, and Dask, integrating data sources such as Kafka, AWS S3, Azure Data Lake, and Snowflake. Enhance AI model inference efficiency by implementing vector retrieval using FAISS, Pinecone, or ChromaDB, and optimize API latency with tuning techniques (temperature, top-k sampling, max tokens settings). Microservices, APIs & Security Develop scalable RESTful APIs for AI models and data services, ensuring integration with internal and external systems while securing API endpoints using OAuth, JWT, and API Key Authentication. Implement AI-powered logging, observability, and monitoring to track data pipelines, model drift, and inference accuracy, ensuring compliance with AI governance and security best practices. AI & Data Engineering Collaboration Work with AI/ML, Data Engineering, and DevOps teams to optimize AI model deployments, data pipelines, and real-time/batch processing for AI-driven solutions. Engage in Agile ceremonies, backlog refinement, and collaborative problem-solving to scale AI-powered workflows in areas like fraud detection, claims processing, and intelligent automation. Cross-Functional Coordination and Communication Collaborate with Product, UX, and Compliance teams to align AI-powered features with user needs, security policies, and regulatory frameworks (HIPAA, GDPR, SOC2). Ensure seamless integration of structured and unstructured data sources (SQL, NoSQL, vector databases) to improve AI model accuracy and retrieval efficiency. Mentorship & Knowledge Sharing Mentor junior engineers on AI model integration, API development, and scalable data engineering best practices, and conduct knowledge-sharing sessions. Education & Experience Required 12-18 years of experience in software engineering or AI/ML development, preferably in AI-driven solutions. Hands-on experience with Agile development, SDLC, CI/CD pipelines, and AI model deployment lifecycles. Bachelor’s Degree or equivalent in Computer Science, Engineering, Data Science, or a related field. Proficiency in full-stack development with expertise in Python (preferred for AI), Java Experience with structured & unstructured data: SQL (PostgreSQL, MySQL, SQL Server) NoSQL (OpenSearch, Redis, Elasticsearch) Vector Databases (FAISS, Pinecone, ChromaDB) Cloud & AI Infrastructure AWS: Lambda, SageMaker, ECS, S3 Azure: Azure OpenAI, ML Studio GenAI Frameworks & Tools: OpenAI API, Hugging Face Transformers, LangChain, LlamaIndex, AutoGPT, CrewAI. Experience in LLM deployment, retrieval-augmented generation (RAG), and AI search optimization. Proficiency in AI model evaluation (BLEU, ROUGE, BERT Score, cosine similarity) and responsible AI deployment. Strong problem-solving skills, AI ethics awareness, and the ability to collaborate across AI, DevOps, and data engineering teams. Curiosity and eagerness to explore new AI models, tools, and best practices for scalable GenAI adoption. About Athenahealth Here’s our vision: To create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all. What’s unique about our locations? From an historic, 19th century arsenal to a converted, landmark power plant, all of athenahealth’s offices were carefully chosen to represent our innovative spirit and promote the most positive and productive work environment for our teams. Our 10 offices across the United States and India — plus numerous remote employees — all work to modernize the healthcare experience, together. Our Company Culture Might Be Our Best Feature. We don't take ourselves too seriously. But our work? That’s another story. athenahealth develops and implements products and services that support US healthcare: It’s our chance to create healthier futures for ourselves, for our family and friends, for everyone. Our vibrant and talented employees — or athenistas, as we call ourselves — spark the innovation and passion needed to accomplish our goal. We continue to expand our workforce with amazing people who bring diverse backgrounds, experiences, and perspectives at every level, and foster an environment where every athenista feels comfortable bringing their best selves to work. Our size makes a difference, too: We are small enough that your individual contributions will stand out — but large enough to grow your career with our resources and established business stability. Giving back is integral to our culture. Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future. As part of the evolution of athenahealth’s Corporate Social Responsibility (CSR) program, we’ve selected nonprofit partners that align with our purpose and let us foster long-term partnerships for charitable giving, employee volunteerism, insight sharing, collaboration, and cross-team engagement. What can we do for you? Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs. In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons. And we provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued. We also encourage a better work-life balance for athenistas with our flexibility. While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time. With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.

About Balancehero India Balancehero India Pvt. Ltd. (BHI), the wholly-owned subsidiary of Balancehero Co. Ltd., Korea which runs and operates the mobile app “True Balance”- a one-stop destination for financial services.” Founded by Charlie Lee in Korea in 2014, Balancehero started its operations in India in the year 2016. It started off as a balance check application and the company has expanded its business model to financial services. The company aims to build a financial platform for the next billion which set the context for loans, utility services, pay later services, and commerce services. The Company's wholly-owned subsidiary True Credits Private Limited, is a licensed NBFC that aims to bridge the financial gap in India by making Finance available for all. True Credits lends through the True Balance mobile application. About True Balance Owned and operated by BalanceHero Group, True Balance is an RBI authorized Prepaid Payment Instrument (PPI) issuing entity. It offers loans through its subsidiary and RBI licensed Non-Banking Financial Company - True Credits Private Limited and other RBI licensed partners. Founded in 2016, as a mobile app for users in India to efficiently manage their phone calls and data usage, True Balance is now India’s one of the top financial services platforms providing solutions to all the financial needs of its users - from obtaining instant loans, paying utility bills to do prepaid recharges seamlessly. To date, True Balance has raised more than US$84 million in equity funding from marquee global investors like Softbank, Naver, and Line to name a few. The company aims to become the go-to financial services platform for the next billion people in India, playing a key role in the nationwide push towards the goal of Digital India and advancing financial inclusion amongst the unbanked and underbanked people. Balancehero India | LinkedIn About True Credits Established in 2019, True Credits is the RBI licensed NBFC that provides innovative financial services to empower the next billion unbanked users. They cater to the personal and business needs of consumers by providing fast and hassle-free finance. True Credits is focused towards unbanked users who have created a huge demand for instant credit services in India. Job Description: About the Role : BalanceHero's ML Engineer builds and operates training/serving systems and data pipelines for ML/LLM powered applications related to marketing/review/recovery of loan products. About the Responsibilities Building and operating data pipelines and feature stores for training and serving ML/LLM models Building and operating ML/LLM model serving systems Building and operating monitoring systems for ML/LLM powered applications Managing and deploying ML/LLM model versions Requirements Fluent in Python Experience on designing and building data pipelines for large-scale data using Hadoop Ecosystem in a cloud environment Experience on managing model versions and deployments while continuously updating one or more ML-powered applications Experience on operating ML Products that provide real-time prediction services Experience on open source (Triton, torchserve, BentoML, ONNX, etc.) and cloud solutions (AWS Sagemaker Endpoint, GCP Vertex AI, etc.) for model serving Experience on monitoring data shift and consistency while maintaining ML/LLM powered applications Preferred qualification Experience on Pyspark and Polars in large scale project Experience on AWS ML-related services (EMR, Glue, Sagemaker, Athena, etc.) Experience optimizing high-performance models using GPU Roles and responsibilities: About the Role: BalanceHero's ML Engineer builds and operates training/serving systems and data pipelines for ML/LLM powered applications related to marketing/review/recovery of loan products. About the Responsibilities Building and operating data pipelines and feature stores for training and serving ML/LLM models Building and operating ML/LLM model serving systems Building and operating monitoring systems for ML/LLM powered applications Managing and deploying ML/LLM model versions . Required Experience : Fluent in Python Experience on designing and building data pipelines for large-scale data using Hadoop Ecosystem in a cloud environment Experience on managing model versions and deployments while continuously updating one or more ML-powered applications Experience on operating ML Products that provide real-time prediction services Experience on open source (Triton, torchserve, BentoML, ONNX, etc.) and cloud solutions (AWS Sagemaker Endpoint, GCP Vertex AI, etc.) for model serving Experience on monitoring data shift and consistency while maintaining ML/LLM powered applications

Experience : 1 to 3 years Notice Period : Less than 15 days or immediate Mode of work : ON-SITE Key Responsibilities Design, develop, and deploy AI and machine learning models for real-time or batch applications. Work with large datasets to build, train, and validate predictive and generative models. Collaborate with data scientists, engineers, and product teams to integrate AI into products and services. Optimize models for performance, scalability, and accuracy. Research and implement state-of-the-art techniques in machine learning, deep learning, NLP, or computer vision. Write clean, modular, and well-documented code. Required Skills & Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field. 3+ years of hands-on experience with ML/AI frameworks like TensorFlow, PyTorch, Scikit-learn, etc. Proficient in Python and libraries such as NumPy, Pandas, and OpenCV. Experience with deploying models using APIs (REST/GraphQL) or platforms like AWS SageMaker, Azure ML, or GCP AI. Solid understanding of AI model lifecycle and MLOps practices. Strong problem-solving skills and ability to work in a fast-paced, collaborative environment. Preferred Qualifications Experience with LLMs (e.g., GPT, BERT) or generative AI. Familiarity with AI ethics and model interpretability. Knowledge of data pipelines, ETL processes, or real-time stream processing (Kafka, Spark). Contributions to open-source AI projects or published research papers. What We Offer Competitive salary and performance bonuses Flexible work hours and remote options Professional development budget Collaborative and inclusive team culture Opportunity to work on impactful AI applications in [healthcare, fintech, logistics, etc.] Job Type: Full-time Pay: ₹600,000.00 - ₹840,000.00 per year Benefits: Health insurance Internet reimbursement Paid sick time Provident Fund Location Type: In-person Schedule: Day shift Fixed shift Monday to Friday Work Location: In person

TECHNICAL ARCHITECT Key Responsibilities 1. Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process. 2. Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients. 3. Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations. 4. Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows. 5. Problem Solving: Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise. 6. Ensuring Quality: Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals. 7. Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams. 8. Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices. 9. Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement. Technical Skills 1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models. 2. Knowledge or experience working with self-hosted or managed LLMs. 3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition. 4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs. 5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability. 6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux) 7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached). 8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing. 9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets. 10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights. 11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform). 12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX). 13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains. 14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication. 15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management. Experience Required Technical Architect with 7 - 12 years of experience Salary 22-25 LPA Job Types: Full-time, Permanent Pay: ₹2,200,000.00 - ₹2,500,000.00 per year Experience: total work: 1 year (Preferred) Work Location: In person

Location: IN_Gurgaon_Bldg # 10 DLF Cyber City_HCS Job Family: Engineering Worker Type Reference: Regular - Permanent Pay Rate Type: Salary Career Level: T4(B) Job ID: R-40836-2024 Description & Requirements Introduction: A Career at HARMAN - Harman Tech Solutions (HTS) We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN HTS, you solve challenges by creating innovative solutions. Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity’s needs. Empower the company to create new digital business models, enter new markets, and improve customer experiences About the Role You will be responsible for driving the strategic direction of our AI and machine learning practice along with other key leaders. This role will involve leading internal AI/ML projects, shaping the technology roadmap, and overseeing client-facing projects including solution development, RFPs, presentations, analyst interactions, partnership development etc. The ideal candidate will have a strong technical background in AI/ML, exceptional leadership skills, and the ability to balance internal and external project demands effectively. In this strategic role, you will be responsible for shaping the future of AI/ML within our organization, driving innovation, and ensuring the successful implementation of AI/ML solutions that deliver tangible business outcomes. What You Will Do Drive Innovation, Differentiation & Growth Develop and implement a comprehensive AI/ML strategy aligned with our business goals and objectives. Ownership on growth of the COE and influencing client revenues through AI practice Identify and prioritize high-impact opportunities for applying AI/ML across various business units, departments and functions. Lead the selection, deployment, and management of AI/ML tools, platforms, and infrastructure. Oversee the design, development, and deployment of AI/ML solutions Define, differentiate & strategize new AI/ML services/offerings and create reference architecture assets Drive partnerships with vendors on collaboration, capability building, go to market strategies, etc. Guide and inspire the organization about the business potential and opportunities around AI/ML Network with domain experts Develop and implement ethical AI practices and governance standards. Monitor and measure the performance of AI/ML initiatives, demonstrating ROI through cost savings, efficiency gains, and improved business outcomes. Oversee the development, training, and deployment of AI/ML models and solutions. Collaborate with client teams to understand their business challenges and needs. Develop and propose AI/ML solutions tailored to client specific requirements. Influence client revenues through innovative solutions and thought leadership. Lead client engagements from project initiation to deployment. Build and maintain strong relationships with key clients and stakeholders. Build re-usable Methodologies, Pipelines & Models Create data pipelines for more efficient and repeatable data science projects Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others Coding knowledge and experience in languages including R, Python, Scala, MATLAB, etc. Experience with popular databases including SQL, MongoDB and Cassandra Experience data discovery/analysis platforms such as KNIME, RapidMiner, Alteryx, Dataiku, H2O, Microsoft AzureML, Amazon SageMaker etc. Expertise in solving problems related to computer vision, text analytics, predictive analytics, optimization, social network analysis etc. Experience with regression, random forest, boosting, trees, hierarchical clustering, transformers, convolutional neural network (CNN), recurrent neural network (RNN), graph analysis, etc. People & Interpersonal Skills Build and manage a high-performing team of AI/ML engineers, data scientists, and other specialists. Foster a culture of innovation and collaboration within the AI/ML team and across the organization. Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment. Candidates should be confident, energetic self-starters, with strong communication skills. Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire. Provide technical guidance and mentorship to the AI/ML team Collaborate with other directors, managers, and stakeholders across the company to align the AI/ML vision and goals Communicate and present the AI/ML capabilities and achievements to clients and partners Stay updated on the latest trends and developments in the AI/ML domain What You Need 12+ years of experience in the information technology industry with strong focus on AI/ML having led, driven and set up an AI/ML practice in IT services or niche AI/ML organizations 10+ years of relevant experience in successfully launching, planning, and executing advanced data science projects. A master’s or PhD degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics. In depth specialization in text analytics, image recognition, graph analysis, deep learning, is required. The candidate should be adept in agile methodologies and well-versed in applying MLOps methods to the construction of ML pipelines. Candidate should have demonstrated the ability to manage data science projects and diverse teams. Should have experience in creating AI/ML strategies & services, and scale capabilities from a technology, platform, and people standpoint. Experience in working on proposals, presales activities, business development and overlooking delivery of AI/ML projects Experience in building solutions with AI/ML elements in any one or more domains – Industrial, Healthcare, Retail, Communication Be an accelerator to grow the practice through technologies, capabilities, and teams both organically as well as inorganically What We Offer Access to employee discounts on world class HARMAN/Samsung products (JBL, Harman Kardon, AKG etc.) Professional development opportunities through HARMAN University’s business and leadership academies. Flexible work schedule with a culture encouraging work life integration and collaboration in a global environment. An inclusive and diverse work environment that fosters and encourages professional and personal development. Tuition reimbursement. “Be Brilliant” employee recognition and rewards program. What Makes You Eligible Be willing to travel up to 25%, domestic and international travel if required. Successfully complete a background investigation as a condition of employment You Belong Here HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want. About HARMAN: Where Innovation Unleashes Next-Level Technology Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected. Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. If you’re ready to innovate and do work that makes a lasting impact, join our talent community today! Important Notice: Recruitment Scams Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com' email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in '@harman.com' about a job with HARMAN, please cease communication immediately and report the incident to us through: harmancareers@harman.com. HARMAN is proud to be an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

- 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language We are part of the India & Emerging Stores Customer Fulfilment Experience Org. Team's mission is to address unique customer requirements and the increasing associated costs/abuse of returns and rejects for Emerging Stores. Our team implements tech solves that reduce the net cost of concessions/refunds - this includes buyer and seller abuse, costs associated with return/reject transportation, cost of contacts and operations cost at return centers. We have a huge opportunity to create a legacy and our Legacy Statement is to “transform ease and quality of living in India, thereby enabling its potential in the 21st century”. We also believe that we have an additional responsibility to “help Amazon become truly global in its perspective and innovations” by creating global best-in-class products/platforms that can serve our customers worldwide. This is an opportunity to join our mission to build tech solutions that empower sellers to delight the next billion customers. You will be responsible for building new system capabilities grounds up for strategic business initiatives. If you feel excited by the challenge of setting the course for large company wide initiatives, building and launching customer facing products in IN and other emerging markets, this may be the next big career move for you. We are building systems which can scale across multiple marketplaces and are on the state-of-the-art in automated large scale e-commerce business. We are looking for a SDE to deliver capabilities across marketplaces. We operate in a high performance agile ecosystem where SDEs, Product Managers and Principals frequently connect with end customers of our products. Our SDEs stay connected with customers through seller/FC/Deliver Station visits and customer anecdotes. This allows our engineers to significantly influence product roadmap, contribute to PRFAQs and create disproportionate impact through the tech they deliver. We offer Technology leaders a once in a lifetime opportunity to transform billions of lives across the planet through their tech innovation. As an engineer, you will help with the design, implementation, and launch of many key product features. You will get an opportunity to work on the wide range of technologies (including AWS Open Search, Lambda, ECS, SQS, Dynamo DB, Neptune etc.) and apply new technologies for solving customer problems. You will have an influence on defining product features, drive operational excellence, and spearhead the best practices that enable a quality product. You will get to work with highly skilled and motivated engineers who are already contributing to building high-scale and high-available systems. If you are looking for an opportunity to work on world-leading technologies and would like to build creative technology solutions that positively impact hundreds of millions of customers, and relish large ownership and diverse technologies, join our team today! As an engineer you will be responsible for: • Ownership of product/feature end-to-end for all phases from the development to the production. • Ensuring the developed features are scalable and highly available with no quality concerns. • Work closely with senior engineers for refining the design and implementation. • Management and execution against project plans and delivery commitments. • Assist directly and indirectly in the continual hiring and development of technical talent. • Create and execute appropriate quality plans, project plans, test strategies and processes for development activities in concert with business and project management efforts. • Contribute intellectual property through patents. The candidate should be passionate engineer about delivering experiences that delight customers and creating solutions that are robust. He/she should be able to commit and own the deliveries end-to-end. About the team Team: IES NCRC Tech Mission: We own programs to prevent customer abuse for IN & emerging marketplaces. We detect abusive customers for known abuse patterns and apply interventions at different stages of buyer's journey like checkout, pre-fulfillment, shipment and customer contact (customer service). We closely partner with International machine learning team to build ML based solutions for above interventions.​ Vision: Our goal is to automate detection of new abuse patterns and act quickly to minimize financial loss to Amazon. This would act as a deterrent for abusers, while building trust for genuine customers. We use machine learning based models to automate the abuse detection in a scalable & efficient manner. Technologies: The ML models leveraged by the team include a vast variety ranging from regression-based (XgBoost), to deep-learning models (RNN, CNN) and use frameworks like PyTorch, TensorFlow, Keras for training & inference. Productionization of ML models for real-time low-latency high traffic use-cases poses unique challenges, which in turn makes the work exciting. In terms of tech stack, multiple AWS technologies are used, e.g. Sagemaker, ECS, Lambda, ElasticSearch, StepFunctions, AWS Batch, DynamoDB, S3, CDK (for infra), GraphDBs and are open to adopt new technologies as per use-case. 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Summary Leadsquared is seeking a passionate and driven Machine Learning Engineer with 1-2 years of overall experience to join our innovative team in Bengaluru. This role will focus on the development, deployment, and maintenance of machine learning models. While the primary focus is on ML, the ideal candidate will have a foundational understanding of data engineering principles and a willingness to work with data pipelines. You will collaborate closely with data scientists and other engineers to translate business problems into scalable and impactful ML solutions. Responsibilities Participate in the entire machine learning lifecycle, from problem definition to deployment and monitoring. Develop and implement machine learning models using various algorithms and techniques. Experiment with different modeling approaches and evaluate their performance. Collaborate with data scientists to understand data requirements and feature engineering processes. Assist in the preparation and cleaning of data for model training and evaluation. Deploy and maintain machine learning models in production environments. Monitor model performance and retrain models as needed. Contribute to the development of MLOps pipelines and best practices. Work with any cloud platforms (e.g., AWS, Azure, GCP) and their ML services. Document machine learning models, experiments, and deployment processes. Stay up to date with the latest advancements in machine learning and related technologies. Collaborate with cross-functional teams to integrate ML solutions into existing products and services. Troubleshoot and resolve issues related to deployed ML models Qualifications Bachelor's degree in engineering. 1-3 years of overall experience with a focus on machine learning. Solid understanding of machine learning concepts, algorithms, and evaluation metrics. Hands-on experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Proficiency in Python and relevant data science libraries (e.g., Pandas, NumPy). Basic understanding of data engineering principles and data pipelines. Familiarity with different data storage solutions (e.g., relational databases, data lakes). Exposure to cloud platforms (AWS, Azure, GCP) and their ML services (e.g., SageMaker, Azure ML, Vertex AI). Strong problem-solving and analytical skills. Good communication and collaboration skills. Ability to learn quickly and adapt to new technologies. Show more Show less

Job Title: Backend Developer ( Node.js + Python ) Experience: 4 to 6 Years Employment Type: Full-Time Work Mode: [On-site] About the Role: We’re looking for a highly motivated Backend Developer with strong hands-on experience in Node.js, Python and a working knowledge of AI/ML technologies . You’ll be part of a cross-functional team building scalable backend services that power intelligent, data-driven applications. Key Responsibilities: Develop and maintain backend services using Node.js (Express/Nest.js) and Python (FastAPI/Django) Build and optimize APIs (REST & GraphQL) for web and mobile products. Collaborate with AI/ML teams to integrate models into backend workflows. Work with data scientists to deploy models and manage inference pipelines. Design backend systems to support AI features such as recommendation engines, NLP, chatbots, or computer vision modules. Write clean, maintainable, and testable code with proper documentation. Ensure the performance, security, and scalability of applications. Manage deployments using Docker , CI/CD , and cloud infrastructure (AWS/GCP/Azure). Monitor and troubleshoot production issues proactively. Required Skills and Qualifications: 4 to 6 years of backend development experience in Node.js and Python. Strong knowledge of databases – PostgreSQL , MongoDB , Redis . Solid understanding of API design , microservices , and system architecture. Experience with AI/ML integrations – using or deploying models built with libraries like TensorFlow , PyTorch , scikit-learn , or OpenAI APIs . Experience with cloud services for model hosting and serving (e.g., AWS ec2, AWS Lambda, SageMaker, GCP Vertex AI). Experience with containerization (Docker) and version control (Git). Exposure to WebSockets , real-time communication , and message queues (Kafka, RabbitMQ). Working knowledge of JWT , OAuth2 , and API security best practices. Nice to Have: Hands-on with LangChain , LLM APIs , or vector databases like Pinecone or Weaviate. Familiarity with prompt engineering or LLM fine-tuning . Exposure to serverless architecture or event-driven systems . Job Types: Full-time, Permanent Pay: ₹500,000.00 - ₹700,000.00 per year Benefits: Paid sick time Paid time off Location Type: In-person Schedule: Monday to Friday Work Location: In person Speak with the employer +91 7880122103

We are looking for a visionary and technically skilled Lead AI Engineer – Machine Learning to spearhead the design, development, and deployment of advanced machine learning solutions. In this leadership role, you will guide a team of AI/ML engineers, contribute hands-on to critical technical challenges, and collaborate with cross-functional teams to deliver impactful AI products. This role is ideal for someone who thrives at the intersection of innovation, engineering rigor, and business value. Key Responsibilities Technical Leadership : Lead the architecture, development, and deployment of machine learning models and AI systems across a range of use cases. Model Development : Design, train, and optimize supervised, unsupervised, and deep learning models using frameworks like PyTorch, TensorFlow, and XGBoost. Mentorship : Coach and mentor a team of ML engineers and data scientists; foster a culture of innovation, ownership, and continuous learning. Project Management : Drive planning, execution, and delivery of AI/ML projects, ensuring alignment with business objectives and technical feasibility. System Design : Architect scalable, secure, and high-performance ML pipelines and services using cloud-native tools and MLOps best practices. Collaboration : Work closely with product managers, data engineers, and DevOps teams to translate business problems into AI-driven solutions. Code Quality & Governance : Establish standards for model quality, reproducibility, documentation, versioning, and monitoring. Innovation : Stay current with research and industry trends in ML/AI, evaluate new tools, and introduce state-of-the-art solutions where applicable. Required Skills and Experience Education : Bachelor’s or Master’s in Computer Science, Machine Learning, Data Science, or related technical field Experience : 6–10+ years of experience in software engineering or AI/ML, with at least 2+ years in a technical leadership role Technical Expertise : o Strong programming skills in Python and experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, Hugging Face o Deep understanding of ML fundamentals: feature engineering, model evaluation, optimization, and deployment o Proficiency in designing and building data pipelines, real-time processing, and model inference systems o Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines o Familiarity with MLOps tools (e.g., MLflow, DVC, Airflow, SageMaker) and vector databases (e.g., FAISS, Pinecone) Preferred Qualifications Hands-on experience with LLMs, RAG pipelines, or generative AI applications Familiarity with agentic AI frameworks (LangChain, CrewAI, AutoGPT) Domain expertise in fintech, healthtech, HR tech, or industrial automation Contributions to open-source AI/ML projects or published research Knowledge of responsible AI practices, explainability (XAI), and model governance Soft Skills Strong leadership and team-building skills Clear and persuasive communication with both technical and non-technical stakeholders Strategic thinker with attention to detail and a bias for action Show more Show less

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Associate Architect - Machine Learning Experience: 6 to 9 Years Location: Mumbai/Bangalore/Trivandrum Must Have Skills 6+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS. Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs. Good Experience developing applications using LLMs with Langchain. Must have experience using GenAI frameworks such as vertexAI, OpenAI, AWS Bedrock. Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI), specifically LLama2. Must have Hands-on experience working with (Retrieval Augmented Generation) RAG architecture and experience using vector indexing such as Opensearch, Elasticsearch. Strong familiarity with higher-level trends in LLMs and open-source platforms. Should have experience with Deep Learning Concepts. Transformers, BERT, Attention models Prompt Engineering: Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. Implement and manage MLOps principles and best practices for Gen AI models Thorough understanding of NLP techniques for text representation and modeling Able to effectively design software architecture as required Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc. Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions. Good To Have Skills Experience of working for customers/workloads in the Edtech domain with use cases. Experience with software development If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us ! Show more Show less

Spectral Consultants is hiring Data Engineer for one of the leading management consulting firm. Location - Gurgaon & Pune Experience - 1 to 10 years (Multiple levels are open) Responsibilities Lead the project deliverables such as business case development, solution vision and design, user requirements, solution mockup, prototypes, and technical architecture, test cases, deployment plans, operations strategy and planning, etc.; Actively lead unstructured problem solving to design and build complex solutions, tune to meet expected performance and functional requirements; Lead appropriate documentation of systems design, procedure, SOP, etc.; Build cloud applications using serverless technologies like custom web applications/ETL pipelines/ real time/stream analytics applications etc Leverage expertise / experience of both traditional and modern data architecture and processing concepts, including relational databases. Qualifications 5+ years of hands on experience in creating High Level and Detailed Design documents Good handle on working in distributed computing and cloud services platform Should have experience of working on Agile delivery framework and can mentor and coach team to follow agile best practices Expertise in one of the Programming languages like Python, Scala, etc. and should be able to review the codes created by developers Expertise in commonly used AWS services (or equivalent services in Azure) is preferred – EMR, Glue, EC2, Glue ETL, Managed Airflow, S3, LakeFormation, SageMaker Studio, Athena, Redshift, RDS, AWS Neptune Show more Show less

Summary Position Summary DT-US Product Engineering - Data Scientist Manager We are seeking an exceptional Data Scientist who combines deep expertise in AI/ML with a strong focus on data quality and advanced analytics. This role requires a proven track record in developing production-grade machine learning solutions, implementing robust data quality frameworks, and leveraging cutting-edge analytical tools to drive business transformation through data-driven insights . Work you will do The Data Scientist will be responsible for developing and implementing end-to-end AI/ML solutions while ensuring data quality excellence across all stages of the data lifecycle. This role requires extensive experience in modern data science platforms, AI frameworks, and analytical tools, with a focus on scalable and production-ready implementations. Project Leadership and Management: Lead complex data science initiatives utilizing Databricks, Dataiku, and modern AI/ML frameworks for end-to-end solution development Establish and maintain data quality frameworks and metrics across all stages of model development Design and implement data validation pipelines and quality control mechanisms for both structured and unstructured data Strategic Development: Develop and deploy advanced machine learning models, including deep learning and generative AI solutions Design and implement automated data quality monitoring systems and anomaly detection frameworks Create and maintain MLOps pipelines for model deployment, monitoring, and maintenance Team Mentoring and Development: Lead and mentor a team of data scientists and analysts, fostering a culture of technical excellence and continuous learning Develop and implement training programs to enhance team capabilities in emerging technologies and methodologies Establish performance metrics and career development pathways for team members Drive knowledge sharing initiatives and best practices across the organization Provide technical guidance and code reviews to ensure high-quality deliverables Data Quality and Governance: Establish data quality standards and best practices for data collection, preprocessing, and feature engineering Implement data validation frameworks and quality checks throughout the ML pipeline Design and maintain data documentation systems and metadata management processes Lead initiatives for data quality improvement and standardization across projects Technical Implementation: Design, develop and deploy end-to-end AI/ML solutions using modern frameworks including TensorFlow, PyTorch, scikit-learn, XGBoost for machine learning, BERT and GPT for NLP, and OpenCV for computer vision applications Architect and implement robust data processing pipelines leveraging enterprise platforms like Databricks, Apache Spark, Pandas for data transformation, Dataiku and Apache Airflow for ETL/ELT processes, and DVC for data version control Establish and maintain production-grade MLOps practices including model deployment, monitoring, A/B testing, and continuous integration/deployment pipelines Technical Expertise Requirements: Must Have: Enterprise AI/ML Platforms: Demonstrate mastery of Databricks for large-scale processing, with proven ability to architect solutions at scale Programming & Analysis: Advanced Python (NumPy, Pandas, scikit-learn), SQL, PySpark with production-level expertise Machine Learning: Deep expertise in TensorFlow or PyTorch, and scikit-learn with proven implementation experience Big Data Technologies: Advanced knowledge of Apache Spark, Databricks, and distributed computing architectures Cloud Platforms: Strong experience with at least one major cloud platform (AWS/Azure/GCP) and their ML services (SageMaker/Azure ML/Vertex AI) Data Processing & Analytics: Extensive experience with enterprise-grade data processing tools and ETL pipelines MLOps & Infrastructure: Proven experience in model deployment, monitoring, and maintaining production ML systems Data Quality: Experience implementing comprehensive data quality frameworks and validation systems Version Control & Collaboration: Strong proficiency with Git, JIRA, and collaborative development practices Database Systems: Expert-level knowledge of both SQL and NoSQL databases for large-scale data management Visualization Tools: Tableau, Power BI, Plotly, Seaborn Large Language Models: Experience with GPT, BERT, LLaMA, and fine-tuning methodologies Good to Have: Additional Programming: R, Julia Additional Big Data: Hadoop, Hive, Apache Kafka Multi-Cloud: Experience across AWS, Azure, and GCP platforms Advanced Analytics: Dataiku, H2O.ai Additional MLOps: MLflow, Kubeflow, DVC (Data Version Control) Data Quality & Validation: Great Expectations, Deequ, Apache Griffin Business Intelligence: SAP HANA, SAP Business Objects, SAP BW Specialized Databases: Cassandra, MongoDB, Neo4j Container Orchestration: Kubernetes, Docker Additional Collaboration Tools: Confluence, BitBucket Education: Advanced degree in quantitative discipline (Statistics, Math, Computer Science, Engineering) or relevant experience. Qualifications: 10-13 years of experience with data mining, statistical modeling tools and underlying algorithms. 5+ years of experience with data analysis software for large scale analysis of structured and unstructured data. Proven track record of leading and delivering large-scale machine learning projects, including production model deployment, data quality framework implementation and experience with very large datasets to create data-driven insights thru predictive and prescriptive analytic models. E xtensive knowledge of supervised and unsupervised analytic modeling techniques such as linear and logistic regression, support vector machines, decision trees / random forests, Naïve-Bayesian, neural networks, association rules, text mining, and k-nearest neighbors among other clustering models. Extensive experience with deep learning frameworks, automated ML platforms, data processing tools (Databricks Delta Lake, Apache Spark), analytics platforms (Tableau, Power BI), and major cloud providers (AWS, Azure, GCP) Experience architecting and implementing enterprise-grade solutions using cloud-native ML services while ensuring cost optimization and performance efficiency Strong track record of team leadership, stakeholder management, and driving technical excellence across multiple concurrent projects Expert-level proficiency in Python, R, and SQL, with deep understanding of statistical analysis, hypothesis testing, feature engineering, model evaluation, and validation techniques in production environments Demonstrated leadership experience in implementing MLOps practices, including model monitoring, A/B testing frameworks, and maintaining production ML systems at scale. Working knowledge of supervised and unsupervised learning techniques, such as Regression/Generalized Linear Models, decision tree analysis, boosting and bagging, Principal Components Analysis, and clustering methods. Strong oral and written communication skills, including presentation skills The Team Information Technology Services (ITS) helps power Deloitte’s success. ITS drives Deloitte, which serves many of the world’s largest, most respected organizations. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. The ~3,000 professionals in ITS deliver services including: Security, risk & compliance Technology support Infrastructure Applications Relationship management Strategy Deployment PMO Financials Communications Product Engineering (PxE) Product Engineering (PxE) team is the internal software and applications development team responsible for delivering leading-edge technologies to Deloitte professionals. Their broad portfolio includes web and mobile productivity tools that empower our people to log expenses, enter timesheets, book travel and more, anywhere, anytime. PxE enables our client service professionals through a comprehensive suite of applications across the business lines. In addition to application delivery, PxE offers full-scale design services, a robust mobile portfolio, cutting-edge analytics, and innovative custom development. Work Location: Hyderabad Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 303069 Show more Show less

Candidates ready to join immediately can share their details via email for quick processing. 📌 CCTC | ECTC | Notice Period | Location Preference nitin.patil@ust.com Act fast for immediate attention! ⏳📩 Roles and Responsibilities: Architecture & Infrastructure Design Architect scalable, resilient, and secure AI/ML infrastructure on AWS using services like EC2, SageMaker, Bedrock, VPC, RDS, DynamoDB, CloudWatch . Develop Infrastructure as Code (IaC) using Terraform , and automate deployments with CI/CD pipelines . Optimize cost and performance of cloud resources used for AI workloads. AI Project Leadership Translate business objectives into actionable AI strategies and solutions. Oversee the entire AI lifecycle —from data ingestion, model training, and evaluation to deployment and monitoring. Drive roadmap planning, delivery timelines, and project success metrics. Model Development & Deployment Lead selection and development of AI/ML models, particularly for NLP, GenAI, and AIOps use cases . Implement frameworks for bias detection, explainability , and responsible AI . Enhance model performance through tuning and efficient resource utilization. Security & Compliance Ensure data privacy, security best practices, and compliance with IAM policies, encryption standards , and regulatory frameworks. Perform regular audits and vulnerability assessments to ensure system integrity. Team Leadership & Collaboration Lead and mentor a team of cloud engineers, ML practitioners, software developers, and data analysts. Promote cross-functional collaboration with business and technical stakeholders. Conduct technical reviews and ensure delivery of production-grade solutions. Monitoring & Maintenance Establish robust model monitoring , ing , and feedback loops to detect drift and maintain model reliability. Ensure ongoing optimization of infrastructure and ML pipelines. Must-Have Skills: 10+ years of experience in IT with 4+ years in AI/ML leadership roles. Strong hands-on experience in AWS services : EC2, SageMaker, Bedrock, RDS, VPC, DynamoDB, CloudWatch. Expertise in Python for ML development and automation. Solid understanding of Terraform, Docker, Git , and CI/CD pipelines . Proven track record in delivering AI/ML projects into production environments . Deep understanding of MLOps, model versioning, monitoring , and retraining pipelines . Experience in implementing Responsible AI practices – including fairness, explainability, and bias mitigation. Knowledge of cloud security best practices and IAM role configuration. Excellent leadership, communication, and stakeholder management skills. Good-to-Have Skills: AWS Certifications such as AWS Certified Machine Learning – Specialty or AWS Certified Solutions Architect. Familiarity with data privacy laws and frameworks (GDPR, HIPAA). Experience with AI governance and ethical AI frameworks. Expertise in cost optimization and performance tuning for AI on the cloud. Exposure to LangChain , LLMs , Kubeflow , or GCP-based AI services . Skills Enterprise Architecture,Enterprise Architect,Aws,Python Show more Show less

Do you want to make a global impact on patient health? Do you thrive in a fast-paced environment that integrates scientific, clinical, and commercial domains through engineering, data science, and AI? Join Pfizer Digital’s Artificial Intelligence, Data, and Advanced Analytics organization (AIDA) to leverage cutting-edge technology for critical business decisions and enhance customer experiences for colleagues, patients, and physicians. Our team of engineering, data science, and AI professionals is at the forefront of Pfizer’s transformation into a digitally driven organization, using data science and AI to change patients’ lives. The Data Science Industrialization team is a key driver of Pfizer’s digital transformation, leading process and engineering innovations to advance AI and data science applications from prototypes and MVPs to full production. As a Sr. Associate, AI and Data Science Full Stack Engineer , you will join the Data Science Industrialization team. Your responsibilities will include implementing AI solutions at scale for Pfizer business. You will iteratively develop and continuously improve data science workflows, AI based software solutions and AI components. Role Responsibilities Contribute to the end-to-end build and deployment of data science and analytics products and AI modules Develop server-side logic using back-end technologies such as Python Contribute to the implementation of data ETL pipelines using Python and SQL Build web applications with JavaScript frameworks Build data visualizations and data applications to enable data exploration and insights generation Maintain infrastructure and tools for software development and deploying using IaC tools Automate processes for continuous integration, delivery, and deployment (CI/CD pipeline) to ensure smooth software delivery Implement logging and monitoring tools to gain insights into system behavior. Collaborate with data scientists, engineers, and colleagues from across Pfizer to integrate AI and data science models into production solutions Build data visualizations and data applications to enable data exploration and insights generation (e.g. Tableau, Power BI, Dash, Shiny, Streamlit, etc.). Stay up-to-date with emerging technologies and trends in your field. Basic Qualifications Bachelor's or Master's degree in Computer Science, or a related field (or equivalent experience). 2+ years of experience in software engineering, data science, or related technical fields. Experience in programming languages such as Python or R Familiarity with back-end technologies, databases (SQL and NoSQL), and RESTful APIs. Familiarity with data manipulation and preprocessing techniques, including data cleaning, data wrangling and feature engineering. Highly self-motivated, capable of delivering both independently and through strong team collaboration. Ability to creatively tackle new challenges and step outside your comfort zone. Strong English communication skills (written and verbal). Preferred Qualifications Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline Experience in CI/CD integration (e.g. GitHub, GitHub Actions) and containers (e.g. docker) Understanding of statistical modeling, machine learning algorithms, and data mining techniques. Experience with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker or other data science platforms Knowledge about BI backend concept like Star Schema and Snowflake Familiarity in building low code dashboard solution tools like Tableau, Power BI, Dash and Streamlit Experience developing dynamic and interactive web applications; familiar with React, AngularJS, Vue. Experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or Cloudformation Familiarity with cloud-based analytics ecosystems (e.g., AWS, Snowflake). Hands on experience working in Agile teams, processes, and practices Ability to work non-traditional work hours interacting with global teams spanning across the different regions (eg: North America, Europe, Asia) Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates. Information & Business Tech Show more Show less

The Role (Describe the role): Highly skilled and experienced Data Engineer with AI/ML expertise. This role is essential to maintain continuity and leadership for our AI-driven initiatives, particularly Vantage AI, which is currently gaining significant traction across business units. The candidate must possess strong technical knowledge in data engineering, orchestration, machine learning, and analytics, with the ability to independently drive the design, development, and deployment of data solutions. Key Responsibilities: Development and deployment of Vantage AI. AI/ML initiatives in Anchanto. Insight generation. Apply statistical methods and predictive modeling to solve real-world problems. Machine learning and AI developments. Develop Data engineering solutions and orchestration. Essential Requirements: 2+ years of experience in data engineering or data science roles Ability to build and deploy machine learning models Expertise in AWS cloud platforms and containerization Hands on in data scraping techniques. Strong knowledge of Python and associated ML/data science libraries (e.g., scikit-learn, pandas, PySpark, Sagemaker) Expertise in ETL and data pipeline design. Personal Attributes: Strong problem-solving skills. Good communication Engineering degree. Ability to work independently. Show more Show less

Job Description: We are seeking a skilled and innovative Data Scientist to join our team. The ideal candidate will have strong experience in AI/ML, Big Data technologies, and cloud platforms like AWS , with a passion for solving complex problems through data-driven insights. Responsibilities: Design, develop, and deploy machine learning and deep learning models for predictive analytics and intelligent automation. Work with large and complex datasets using Big Data technologies such as Hadoop, Spark, or similar tools. Implement AI/ML pipelines using tools like Scikit-learn, TensorFlow, PyTorch, or Keras . Build and maintain cloud-based data science solutions on AWS (e.g., SageMaker, Lambda, S3, Redshift). Collaborate with engineering, product, and business teams to understand requirements and deliver actionable insights. Create dashboards, reports, and visualizations to communicate data findings using tools like Power BI, Tableau, or QuickSight . Perform data cleaning, transformation, and feature engineering to prepare data for analysis. Stay updated with emerging trends in AI/ML and cloud technologies. Requirements: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Proven experience with Python and relevant data science libraries (e.g., Pandas, NumPy, Matplotlib). Hands-on experience with AWS services and Big Data platforms . Strong understanding of ML algorithms and model evaluation techniques. Show more Show less

As an AI Architect, you will design and deploy scalable, autonomous AI systems, ensuring seamless integration with cloud platforms and enterprise workflows. You will lead AI strategy, evaluate emerging frameworks, and optimize AI models for real-world applications while driving innovation in agentic AI. Key Responsibilities AI System Design: Architect scalable, autonomous AI/ML systems, including APIs, agents, and pipelines for dynamic decision-making. Technical Leadership: Guide AI engineers and data scientists in implementing advanced architectures (LLMs, multi-agent frameworks). Cloud & Framework Expertise: Deploy AI solutions on AWS SageMaker, Azure ML, or Vertex AI; leverage tools like LangChain, AutoGPT, or Autogen. Optimization & Customization: Fine-tune LLMs and AI models for domain-specific tasks (real-time analytics, adaptive automation). Innovation & R&D: Prototype emerging AI architectures (neuro-symbolic systems, self-improving agents) for production viability. System Validation: Ensure robustness via stress testing, bias mitigation, and compliance with ethical AI standards. Stakeholder Collaboration: Align AI initiatives with business goals and advocate for AI-driven innovation. Required Skills & Qualifications Minimum 6 years of hands-on experience in AI architecture, cloud platforms (AWS/Azure/GCP), and LLM frameworks. Proficiency in Python, TensorFlow/PyTorch, and AI deployment tools (SageMaker, Vertex AI). Strong background in autonomous agents, multi-agent systems, and AI optimization. Experience with LangChain, AutoGPT, or similar frameworks is a plus. Ability to translate research into production-ready architectures. Excellent communication and leadership skills. About Us CoinFantasy is a revolutionary Play to Invest platform that transforms the world of investing into an engaging and intuitive gaming experience. Our platform offers multiple game categories, allowing users to explore the end-to-end investment journey in a risk-free sandbox environment. Building on this innovative foundation, we are now pioneering a groundbreaking decentralized protocol set to redefine the AI landscape. Join us in shaping the future of finance and technology! Website: https://www.coinfantasy.io/ Benefits Competitive salary and performance incentives. Be part of the Core Team in a fast-growing, innovative company. Fulfilling & challenging work with real impact on the product. Unlimited growth opportunities – professionally and personally. Show more Show less

Media Solution Developer – AI/ML & Automation Focus Role Summary We are seeking a technically strong Media Solution Developer to build AI-powered automation solutions that transform digital media operations. This role focuses on applying AI/ML, NLP, neural networks , and computer vision to automate processes such as campaign setup, QA, reporting, and billing. You will work closely with solution architects to bring intelligent designs to life—improving accuracy, efficiency, and scalability across media workflows. A media background is not required , but deep technical expertise is. Key Responsibilities Design and implement AI/ML solutions that automate repetitive and manual tasks in media operations (e.g., campaign setup, anomaly detection in QA, taxonomy validation, asset analysis). Build and deploy models using machine learning, NLP, and computer vision to improve operational efficiency and decision-making. Develop intelligent automation systems and data pipelines in Python, and integrate them with external advertising platforms via APIs (e.g., Meta, DV360, YouTube). Collaborate with solution architects to convert business problems into scalable, production-ready ML automation solutions. Continuously optimize model and system performance, ensuring reliability and responsiveness in automated workflows. Maintain clean, well-documented code with strong adherence to testing, version control, and compliance standards. Contribute to the broader AI-driven automation strategy across media operations. Ideal Profile: 3–5 years of hands-on experience in machine learning, AI engineering, or data science roles, with a focus on automation. Strong skills in Python, with experience using ML frameworks such as TensorFlow, PyTorch, scikit-learn, and NLP libraries like spaCy or Hugging Face. Experience developing: Automation pipelines using AI/ML to replace or optimize manual media tasks NLP models for text classification, validation, or content tagging Computer vision models for creative asset categorization or quality checks Proven ability to work with APIs and cloud ML platforms (e.g., Google Vertex AI, AWS Sagemaker, Azure ML). Strong understanding of automation architecture and performance optimization in production environments. Ability to work in agile teams and collaborate closely with architects and business stakeholders. Nice to Have: Experience with MLOps (e.g., MLflow, Kubeflow) and deployment orchestration tools (e.g., Airflow, Docker, Kubernetes). Exposure to advertising or marketing tech (DSPs, Meta, Google Ads) is a plus—not mandatory. Familiarity with automation principles in RPA tools (e.g., UiPath) is a bonus, though the primary focus is AI-first automation. Exposure to media buying platforms or AdTech/MarTech ecosystems (DSPs, Meta, Google Marketing Platform). Show more Show less