Role : Software Developer Experience : 2- 5 yrs Location : and Duties : Design and develop AI solutions using machine learning (ML), deep learning (DL), and natural language processing (NLP) techniques. Collaborate with Tech team, Product Manager and stakeholders to identify AI-driven opportunities. Build and deploy predictive models, recommendation engines, and generative AI applications. Optimize AI algorithms for scalability, performance, and accuracy. Integrate AI systems with existing software platforms and workflows. Research and stay updated on advancements in AI, machine learning frameworks, and tools. Prepare and maintain technical documentation for AI projects. Conduct rigorous validation (testing & review) of AI models to ensure reliability and compliance with business requirements. Collaborate with stakeholders to implement CI/CD pipelines for AI model deployment. Provide training and support to end-users and teams for AI-powered : Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 2+ years of experience in developing and deploying AI/ML solutions with overall 4 years of experience in relevant areas. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and tools like TensorFlow, PyTorch, scikit-learn, or similar. Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Knowledge of version control systems like Git. Certification in AI/ML technologies is a plus. Skills Strong analytical and problem-solving skills. Effective communication and teamwork capabilities. Proficiency in data visualization and interpretation tools. In-depth understanding of AI ethics and responsible AI principles. Ability to work in agile development environments. Attention to detail and adaptability to changing project requirements (ref:hirist.tech) Show more Show less

Job Title : AI Engineer (Generative AI) Experience : 5-6 years overall, with a minimum of 1.5 years in Generative AI Location : Delhi Job Type : Full-time About the Role: We are looking for an experienced AI Engineer with a strong background in artificial intelligence and machine learning, particularly in Generative AI. The ideal candidate will have a deep understanding of deep learning models, natural language processing, and large language models (LLMs). This role involves designing, developing, and deploying AI solutions, optimizing model performance, and integrating AI into real-world applications. Key Responsibilities Design, develop, and deploy AI/ML models, with a focus on Generative AI applications. Research and implement state-of-the-art techniques in generative modeling (GANs, VAEs, Transformers, Diffusion Models, etc.). Fine-tune and optimize large language models (LLMs) for specific tasks. Work with unstructured data, including text, images, and audio, to build multi-modal AI solutions. Develop scalable AI pipelines and integrate models into production environments. Collaborate with cross-functional teams, including data engineers, software developers, and product managers. Ensure compliance with AI governance, ethical AI principles, and data privacy regulations. Stay up to date with the latest advancements in AI/ML and contribute to research initiatives. Required Skills And Qualifications 5-6 years of overall experience in AI/ML, with at least 1.5 years of hands-on experience in Generative AI. Strong proficiency in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or JAX. Experience in building, fine-tuning, and deploying LLMs and generative models. Knowledge of prompt engineering, reinforcement learning from human feedback (RLHF), and model optimization techniques. Familiarity with cloud-based AI/ML platforms (AWS, Azure, GCP) and MLOps best practices. Experience with NLP, computer vision, and multi-modal AI models. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills. Preferred Qualifications Experience in AI applications for the financial sector, healthcare, or other regulated industries. Knowledge of AI compliance, governance frameworks, and responsible AI principles. Familiarity with APIs, microservices, and deployment strategies for AI-powered applications. Experience contributing to open-source AI projects or publishing research papers. (ref:hirist.tech) Show more Show less

Job Title : Generative AI Specialist / Senior AI Engineer Location : NCR (Gurugram) / Chennai, India Experience : 58 years total, with minimum 1 year hands-on in Generative AI About The Role We are looking for a passionate and experienced AI professional to join our AI/ML team. As a Generative AI Specialist, you will work on cutting-edge projects that involve building, fine-tuning, and deploying LLMs and generative models for real world applications in areas such as customer service, content generation, and intelligent automation. Key Responsibilities Design and implement Generative AI solutions using LLMs (e.g., GPT, LLaMA, Mistral, Claude). Fine-tune and deploy foundation models using frameworks like Hugging Face, LangChain, or custom pipelines. Work closely with product, design, and engineering teams to integrate GenAI solutions into products. Optimize models for performance, scalability, and latency. Develop evaluation frameworks to measure output quality, relevance, and safety. Stay updated with the latest in GenAI, foundation models, and responsible AI practices. Collaborate in building reusable components, frameworks, and services for GenAI use cases. Required Qualifications 58 years of total experience in software engineering / AI / data science. Minimum 1 year of hands-on experience with Generative AI (e.g., prompt engineering, LLM fine-tuning, RAG, embeddings). Strong experience with Python, PyTorch or TensorFlow, and GenAI libraries like Transformers, LangChain, LlamaIndex, or similar. Experience with cloud platforms (AWS, Azure, or GCP) for model deployment and MLOps. Exposure to NLP tasks like summarization, Q&A, chatbots, and semantic search. Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate). Preferred Skills Experience with Retrieval-Augmented Generation (RAG) pipelines. Understanding of Responsible AI, privacy, and model governance. Background in finance, healthcare, or enterprise AI products is a plus. Contributions to open-source GenAI projects or published research papers. (ref:hirist.tech) Show more Show less

Role & Responsibilities GenAI Solution Development : Design, build, fine-tune, and evaluate generative AI models (e.g., LLMs, diffusion models) for specific business use cases. Apply prompt engineering and model optimization techniques for performance and cost-efficiency Platform Integration & Enhancement Work with and improve Quantanite's MoBIUS Generative AI Platform. Bridge R&D (QLabs) and production-ready solutions. Cross-Functional Collaboration Partner with teams across different business pillars to gather requirements and integrate GenAI into workflows. Human-Centric AI Design Design AI tools that enhance user experience and augment human capabilities. Prioritize ethical AI and employee engagement in solution design. Research & Prototyping Stay current with GenAI trends and tools; prototype emerging technologies, often within QLabs. Performance Monitoring & Optimization Monitor deployed models for efficiency, accuracy, and impact on business metrics. Continuously iterate for improvements. Ethical AI & Governance Ensure AI systems follow best practices regarding fairness, transparency, privacy, and bias mitigation. Preferred Candidate Profile Advanced Education : Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Domain Experience Prior experience applying AI/ML solutions within domains directly relevant to Quantanite's core service offerings : Customer Experience (CX), Contact Centers, Sales Automation/CRM, Business Process Outsourcing (BPO), Data Annotation/Management, or HR Technology. 1 Experience in these areas allows for a quicker understanding of business needs and faster value delivery : Platform Development Experience : Experience contributing to the development of scalable AI/ML platforms, MLOps infrastructure, or internal AI tooling. This is particularly relevant given the role's interaction with the MoBIUS platform.1 Full-Stack Familiarity : A broader understanding of software development principles, including experience with API design/development (e.g., RESTful APIs), containerization (e.g., Docker, Kubernetes), and potentially front-end components for integrating AI models into user-facing applications. Publications/Contributions : Contributions to the AI/ML community through publications in relevant conferences/journals or significant contributions to open-source projects. (ref:hirist.tech) Show more Show less

What Youll Do Architect and scale modern data infrastructure: ingestion, transformation, warehousing, and access Define and drive enterprise data strategygovernance, quality, security, and lifecycle management Design scalable data platforms that support both operational insights and ML/AI applications Translate complex business requirements into robust, modular data systems Lead cross-functional teams of engineers, analysts, and developers on large-scale data initiatives Evaluate and implement best-in-class tools for orchestration, warehousing, and metadata management Establish technical standards and best practices for data engineering at scale Spearhead integration efforts to unify data across legacy and modern platforms What You Bring Experience in data engineering, architecture, or backend systems Strong grasp of system design, distributed data platforms, and scalable infrastructure Deep hands-on experience with cloud platforms (AWS, Azure, or GCP) and tools like Redshift, BigQuery, Snowflake, S3, Lambda Expertise in data modeling (OLTP/OLAP), ETL pipelines, and data warehousing Experience with big data ecosystems: Kafka, Spark, Hive, Presto Solid understanding of data governance, security, and compliance frameworks Proven track record of technical leadership and mentoring Strong collaboration and communication skills to align tech with business Bachelors or Masters in Computer Science, Data Engineering, or a related field Nice To Have (Your Edge) Experience with real-time data streaming and event-driven architectures Exposure to MLOps and model deployment pipelines Familiarity with data DevOps and Infra as Code (Terraform, CloudFormation, CI/CD pipelines) (ref:hirist.tech) Show more Show less

Job Title : Machine Learning Engineer / Data Scientist (NLP & Gen AI) Location : Delhi, Mumbai, Hyderabad, Chennai Experience : 4+ years Employment Type : Full-time Job Description We are seeking a skilled Machine Learning Engineer / Data Scientist with expertise in Natural Language Processing (NLP), Data Science, and Generative AI. The ideal candidate should have hands-on experience in ML algorithm development, evaluation metrics, Python code testing, and Pandas operations. You will be responsible for designing, implementing, and optimizing AI/ML models to drive data-driven decision-making. Key Responsibilities Develop and deploy ML models, focusing on NLP and Generative AI applications. Design and evaluate ML algorithms using appropriate evaluation metrics. Optimize data pipelines and perform data preprocessing using Pandas and other Python libraries. Implement and test Python-based ML applications with a focus on code quality and performance. Conduct model training, hyperparameter tuning, and performance benchmarking. Collaborate with cross-functional teams to integrate ML solutions into real-world applications. Stay updated with the latest AI/ML advancements and implement best practices. Required Skills NLP & Generative AI : Experience with transformers, LLMs, and language modeling techniques. Machine Learning Concepts : Strong understanding of algorithms and evaluation metrics. Python Development : Expertise in code testing, debugging, and optimization. Data Science & Pandas Operations : Ability to manipulate and analyze structured/unstructured data. ML Model Deployment : Experience with model serving, API development, or cloud platforms is a plus. Version Control & CI/CD : Familiarity with Git, Docker, and ML workflow automation. Preferred Qualifications Experience with Hugging Face, TensorFlow, PyTorch, or Scikit-learn. Knowledge of LLMs, embeddings, and fine-tuning pre-trained models. Understanding of MLOps and cloud-based ML solutions (AWS, GCP, Azure). Ability to write clean, maintainable, and efficient code. (ref:hirist.tech) Show more Show less

Omni's team is passionate about Commerce and Digital Transformation. We've been successfully delivering Commerce solutions for clients across North America, Europe, Asia, and Australia. The team has experience executing and delivering projects in B2B and B2C solutions. Job Description This is a remote position. We are seeking a Senior Data Engineer to architect and build robust, scalable, and efficient data systems that power AI and Analytics solutions. You will design end-to-end data pipelines, optimize data storage, and ensure seamless data availability for machine learning and business analytics use cases. This role demands deep engineering excellence balancing performance, reliability, security, and cost to support real-world AI applications. Key Responsibilities Architect, design, and implement high-throughput ETL/ELT pipelines for batch and real-time data processing. Build cloud-native data platforms : data lakes, data warehouses, feature stores. Work with structured, semi-structured, and unstructured data at petabyte scale. Optimize data pipelines for latency, throughput, cost-efficiency, and fault tolerance. Implement data governance, lineage, quality checks, and metadata management. Collaborate closely with Data Scientists and ML Engineers to prepare data pipelines for model training and inference. Implement streaming data architectures using Kafka, Spark Streaming, or AWS Kinesis. Automate infrastructure deployment using Terraform, CloudFormation, or Kubernetes operators. Requirements 7+ years in Data Engineering, Big Data, or Cloud Data Platform roles. Strong proficiency in Python and SQL. Deep expertise in distributed data systems (Spark, Hive, Presto, Dask). Cloud-native engineering experience (AWS, GCP, Azure) : BigQuery, Redshift, EMR, Databricks, etc. Experience designing event-driven architectures and streaming systems (Kafka, Pub/Sub, Flink). Strong background in data modeling (star schema, OLAP cubes, graph databases). Proven experience with data security, encryption, compliance standards (e.g., GDPR, HIPAA). Preferred Skills Experience in MLOps enablement : creating feature stores, versioned datasets. Familiarity with real-time analytics platforms (Clickhouse, Apache Pinot). Exposure to data observability tools like Monte Carlo, Databand, or similar. Passionate about building high-scale, resilient, and secure data systems. Excited to support AI/ML innovation with state-of-the-art data infrastructure. Obsessed with automation, scalability, and best engineering practices. (ref:hirist.tech) Show more Show less

Company Description We bring experience and clarity to organizations, powering every human decision with analytics & AI. Our team consists of statisticians, computer science engineers, data scientists, and product managers. With expertise, flexibility, and cultural alignment, we understand the business, analytics, and data management imperatives of your organization. Our goal is to change how AI/ML is approached in the service sector and deliver outcomes that matter. We Provide Best-in-class Services That Increase Profit For Businesses And Deliver Improved Value For Customers, Helping Businesses Grow, Transform, And Achieve Their Details Position : Data Analyst (Oncology) Experience : 5+ Years Work Mode : Description : Develop dashboards and storytelling to provide insights on Global commercial portfolio, marketing, sales and market access Generate insights from commercial, market access and RWE data by performing hands-on descriptive analytics Perform business rollout of dashboards to drive large user adoption, satisfaction and impact, and monitor KPIs to ensure operational and business success in steady state Develop analytics strategy to answer business questions and drive commercial decisions Evaluate and purchase the right data for analytics Work closely with Global Commercial, Global Market Access, IT, as well as US, Germany and other affiliates to understand business needs and develop solutions Communicate business impact effectively to senior : 5+ years of data analytics experience 3+ years of pharma commercial data analytics experience 2+ years of Oncology commercial data analytics experience Experience with Oncology commercial datasets, data purchasing, data analytics strategy, launches, MDM, commercial analytics, sales force effectiveness (e.g. targeting, segmentation, incentive compensation), omnichannel, next-best action, marketing mix, RWE Hands-on experience in dashboarding tools such as Tableau, PowerBI required Knowledge of programming languages or Alteryx required Experience working closely with commercial teams (ref:hirist.tech) Show more Show less

Job Title : Senior Data Scientist (Contract | Remote) Location : Remote Experience Required : 7 - 10 Years About The Role We are seeking a highly experienced Senior Data Scientist to join our team on a contract basis. This role is ideal for someone who excels in predictive analytics and has strong hands-on experience with Databricks and PySpark. You will play a key role in building and deploying scalable machine learning models, with a focus on regression, classification, and time-series forecasting. Key Responsibilities Design, build, and deploy predictive models using regression, classification, and time-series techniques. Develop and maintain scalable data pipelines using Databricks and PySpark. Leverage MLflow for experiment tracking and model versioning. Utilize Delta Lake for efficient data storage and version control. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Implement and manage CI/CD pipelines for model deployment. Work with cloud platforms such as Azure or AWS to develop and deploy ML solutions. Required Skills & Qualifications Minimum 7 years of experience in predictive analytics and machine learning. Strong expertise in Databricks, PySpark, MLflow, and Delta Lake. Proficiency in Python, Spark MLlib, and AutoML frameworks. Experience working with CI/CD pipelines for model deployment. Familiarity with Azure or AWS cloud services. Excellent problem-solving skills and ability to work : Prior experience in the Life Insurance or Property & Casualty (P&C) insurance domain. (ref:hirist.tech) Show more Show less

Job Title : Director AI Automation & Data Sciences Experience Required : 10- 15 Years Industry : Legal Technology / Cybersecurity / Data Science Department : Technology & Innovation About The Role We are seeking an exceptional Director AI Automation & Data Sciences to lead the innovation engine behind our Managed Document Review and Cyber Incident Response services. This is a senior leadership role where youll leverage advanced AI and data science to drive automation, scalability, and differentiation in service delivery. If you are a visionary leader who thrives at the intersection of technology and operations, this is your opportunity to make a global impact. Why Join Us Cutting-edge AI & Data Science technologies at your fingertips Globally recognized Cyber Incident Response Team Prestigious clientele of Fortune 500 companies and industry leaders Award-winning, inspirational workspaces Transparent, inclusive, and growth-driven culture Industry-best compensation that recognizes excellence Key Responsibilities (KRAs) Lead and scale AI & data science initiatives across Document Review and Incident Response programs Architect intelligent automation workflows to streamline legal review, anomaly detection, and threat analytics Drive end-to-end deployment of ML and NLP models into production environments Identify and implement AI use cases that deliver measurable business outcomes Collaborate with cross-functional teams including Legal Tech, Cybersecurity, Product, and Engineering Manage and mentor a high-performing team of data scientists, ML engineers, and automation specialists Evaluate and integrate third-party AI platforms and open-source tools for accelerated innovation Ensure AI models comply with privacy, compliance, and ethical AI principles Define and monitor key metrics to track model performance and automation ROI Stay abreast of emerging trends in generative AI, LLMs, and cybersecurity analytics Technical Skills & Tools Proficiency in Python, R, or Scala for data science and automation scripting Expertise in Machine Learning, Deep Learning, and NLP techniques Hands-on experience with LLMs, Transformer models, and Vector Databases Strong knowledge of Data Engineering pipelines ETL, data lakes, and real-time analytics Familiarity with Cyber Threat Intelligence, anomaly detection, and event correlation Experience with platforms like AWS SageMaker, Azure ML, Databricks, HuggingFace Advanced use of TensorFlow, PyTorch, spaCy, Scikit-learn, or similar frameworks Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines for ML Ops Strong command of SQL, NoSQL, and big data tools (Spark, Kafka) Qualifications Bachelors or Masters in Computer Science, Data Science, AI, or a related field 10- 15 years of progressive experience in AI, Data Science, or Automation Proven leadership of cross-functional technology teams in high-growth environments Experience working in LegalTech, Cybersecurity, or related high-compliance industries preferred (ref:hirist.tech) Show more Show less

Job Description We are seeking a high-impact AI/ML Engineer to lead the design, development, and deployment of machine learning and AI solutions across vision, audio, and language modalities. You'll be part of a fast-paced, outcome-oriented AI & Analytics team, working alongside data scientists, engineers, and product leaders to transform business use cases into real-time, scalable AI systems. This role demands strong technical leadership, a product mindset, and hands-on expertise in Computer Vision, Audio Intelligence, and Deep Learning. Key Responsibilities Architect, develop, and deploy ML models for multimodal problems, including vision (image/video), audio (speech/sound), and NLP tasks. Own the complete ML lifecycle : data ingestion, model development, experimentation, evaluation, deployment, and monitoring. Leverage transfer learning, foundation models, or self-supervised approaches where suitable. Design and implement scalable training pipelines and inference APIs using frameworks like PyTorch or TensorFlow. Collaborate with MLOps, data engineering, and DevOps to productionize models using Docker, Kubernetes, or serverless infrastructure. Continuously monitor model performance and implement retraining workflows to ensure accuracy over time. Stay ahead of the curve on cutting-edge AI research (e.g., generative AI, video understanding, audio embeddings) and incorporate innovations into production systems. Write clean, well-documented, and reusable code to support agile experimentation and long-term platform : Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 58+ years of experience in AI/ML Engineering, with at least 3 years in applied deep learning. Technical Skills Languages : Expert in Python; good knowledge of R or Java is a plus. ML/DL Frameworks : Proficient with PyTorch, TensorFlow, Scikit-learn, ONNX. Computer Vision : Image classification, object detection, OCR, segmentation, tracking (YOLO, Detectron2, OpenCV, MediaPipe). Audio AI : Speech recognition (ASR), sound classification, audio embedding models (Wav2Vec2, Whisper, etc.). Data Engineering : Strong with Pandas, NumPy, SQL, and preprocessing pipelines for structured and unstructured data. NLP/LLMs : Working knowledge of Transformers, BERT/LLAMA, Hugging Face ecosystem is preferred. Cloud & MLOps : Experience with AWS/GCP/Azure, MLFlow, SageMaker, Vertex AI, or Azure ML. Deployment & Infrastructure : Experience with Docker, Kubernetes, REST APIs, serverless ML inference. CI/CD & Version Control : Git, DVC, ML pipelines, Jenkins, Airflow, etc. Soft Skills & Competencies Strong analytical and systems thinking; able to break down business problems into ML components. Excellent communication skills able to explain models, results, and decisions to non-technical stakeholders. Proven ability to work cross-functionally with designers, engineers, product managers, and analysts. Demonstrated bias for action, rapid experimentation, and iterative delivery of impact. (ref:hirist.tech) Show more Show less

About E2M – AI Division We’re building cutting‑edge web tools and dashboards that power both our AI products and internal platforms. You’ll join our AI team—a fast‑moving, tech‑driven squad—designing interfaces that make complex data and workflows intuitive and impactful. What You’ll Do Lead end‑to‑end UI/UX design for web applications: from discovery and wireframing to interactive prototypes and final handoff. Develop dashboards and data‑rich platforms tailored for enterprise/internal use. Design wireframes, user flows, process flows, storyboards, site maps and interactive prototypes. Apply UX best practices to solve user pain points—focus on clarity, simplicity, and efficiency. Collaborate tightly with product managers, AI engineers, front‑end developers, and stakeholders. Conduct user research or testing and iterate on designs based on feedback. Present design concepts, rationale, and deliverables to leadership and cross‑functional teams. Establish and maintain design systems, patterns, and UI guidelines for consistency across tools. What We’re Looking For 4–8 years in UI/UX roles with strong emphasis on web apps and dashboard design. Proven portfolio showcasing enterprise dashboard, web application designs, flows, and deliverables. Tools mastery: Figma (Must), Photoshop, or Sketch/Adobe XD, Illustrator or similar. Experience designing responsive, data‑rich interfaces. Solid grasp of UX fundamentals, usability testing, accessibility standards. Strong collaboration and communication skills; able to distill complex workflows into elegant UIs. Bonus: familiarity with design systems, motion/micro-interactions, and AI/ML-centric products. Show more Show less

Job Description We are looking for an experienced Data Scientist / AI Developer with a strong foundation in classical machine learning, deep learning, natural language processing (NLP), and generative AI. You will be responsible for designing and implementing AI models, including fine-tuning large language models (LLMs), and developing innovative solutions to solve complex problems in a variety of domains. Key Responsibilities : . Develop and implement machine learning models and deep learning algorithms for various use cases. Work on NLP projects involving text classification, language modelling, entity recognition, and sentiment analysis. Leverage generative AI techniques to create innovative solutions and models for content generation, summarization, and translation tasks. Fine-tune large language models (LLMs) to optimize performance for specific tasks or applications. Collaborate with cross-functional teams to design AI-driven solutions that address business problems. Analyse large-scale datasets, perform data pre-processing, feature engineering, and model evaluation. Stay updated with the latest advancements in AI, ML, NLP, and LLMs to continuously improve models and methodologies. Present findings and insights to stakeholders in a clear and actionable manner. Build and maintain end-to-end machine learning pipelines for scalable deployment. Required Skills Strong expertise in supervised and unsupervised machine learning techniques. Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or Keras. Solid experience in Natural Language Processing (NLP), including tokenization, embeddings, and sequence modelling. Hands-on experience with generative AI models and their practical applications. Proven ability to fine-tune large language models (LLMs) for specific tasks. Strong programming skills in Python and familiarity with libraries like Scikit-learn, NumPy, and pandas. Experience in handling large datasets and working with databases (SQL, NoSQL). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes). Deep expertise in computer vision, including techniques for object detection, image segmentation, image classification, and feature extraction. Strong problem-solving skills, analytical thinking, and attention to detail. Preferred Skills Proven experience in fine-tuning LLMs (like llama series, mistral) for specific tasks and optimizing their performance. Expertise in computer vision techniques, including object detection, image segmentation, and classification. Proficiency with YOLO algorithms and other state-of-the-art computer vision models. Hands-on experience in building and deploying models in real-time applications or production environments. Qualifications 3+ years of relevant experience in AI, ML, NLP, or related fields. Bachelors or Masters degree in Computer Science, Statistics, or a related discipline. (ref:hirist.tech) Show more Show less

Company Description At Blend, we are award-winning experts who transform businesses by delivering valuable insights that make a difference. From crafting a data strategy that focuses resources on what will make the biggest difference to your company, to standing up infrastructure, and turning raw data into value through data science and visualization: we do it all. We believe that data that doesn't drive value is lost opportunity, and we are passionate about helping our clients drive better outcome through applied analytics. We are obsessed with delivering world class solutions to our customers through our network of industry leading partners. If this sounds like your kind of challenge, we would love to hear from you. For more information, visit www.blend360.com Job Description We are looking for someone who is ready for the next step in their career and is excited by the idea of solving problems and designing best in class. However, they also need to be aware of the practicalities of making a difference in the real world – whilst we love innovative advanced solutions, we also believe that sometimes a simple solution can have the most impact. Our AI Engineer is someone who feels the most comfortable around solving problems, answering questions and proposing solutions. We place a high value on the ability to communicate and translate complex analytical thinking into non-technical and commercially oriented concepts, and experience working on difficult projects and/or with demanding stakeholders is always appreciated. What can you expect from the role? Contribute to design, develop, deploy and maintain AI solutions Use a variety of AI Engineering tools and methods to deliver Own parts of projects end-to-end Contributing to solutions design and proposal submissions Supporting the development of the AI engineering team within Blend Maintain in-depth knowledge of the AI ecosystems and trends Mentor junior colleagues Qualifications Contribute to the design, development, testing, deployment, maintenance, and improvement of robust, scalable, and reliable software systems, adhering to best practices. Apply Python programming skills for both software development and AI/ML tasks. Utilize analytical and problem-solving skills to debug complex software, infrastructure, and AI integration issues. Proficiently use version control systems, especially Git and ML/LLMOps model versioning protocols. Assist in analysing complex or ambiguous AI problems, breaking them down into manageable tasks, and contributing to conceptual solution design within the rapidly evolving field of generative AI. Work effectively within a standard software development lifecycle (e.g., Agile, Scrum). Contribute to the design and utilization of scalable systems using cloud services (AWS, Azure, GCP), including compute, storage, and ML/AI services. (Preferred: Azure) Participate in designing and building scalable and reliable infrastructure to support AI inference workloads, including implementing APIs, microservices, and orchestration layers. Contribute to the design, building, or working with event-driven architectures and relevant technologies (e.g., Kafka, RabbitMQ, cloud event services) for asynchronous processing and system integration. Experience with containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes, Airflow, Kubeflow, Databricks Jobs, etc). Assist in implementing CI/CD pipelines and optionally using IaC principles/tools for deploying and managing infrastructure and ML/LLM models. Contribute to developing and deploying LLM-powered features into production systems, translating experimental outputs into robust services with clear APIs. Demonstrate familiarity with transformer model architectures and a practical understanding of LLM specifics like context handling. Assist in designing, implementing, and optimising prompt strategies (e.g., chaining, templates, dynamic inputs); practical understanding of output post-processing. Experience integrating with third-party LLM providers, managing API usage, rate limits, token efficiency, and applying best practices for versioning, retries, and failover. Contribute to coordinating multi-step AI workflows, potentially involving multiple models or services, and optimising for latency and cost (sequential vs. parallel execution). Assist in monitoring, evaluating, and optimising AI/LLM solutions for performance (latency, throughput, reliability), accuracy, and cost in production environments. Additional Information Experience specifically with the Databricks MLOps platform. Familiarity with fine-tuning classical LLM models. Experience ensuring security and observability for AI services. Contribution to relevant open-source projects. Familiarity with building agentic GenAI modules or systems. Have hands-on experience implementing and automating MLOps/LLMOps practices, including model tracking, versioning, deployment, monitoring (latency, cost, throughput, reliability), logging, and retraining workflows. Experience working with MLOps/experiment tracking and operational tools (e.g., MLflow, Weights & Biases). Show more Show less

Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more careers.bms.com/working-with-us . Contracting Specialist, Senior Manager, Agile Sourcing Department Strategic Sourcing & Procurement Function Sourcing Excellence Band Senior Manager Location Hyderabad, India Number of Positions 2 Introduction Bristol Myers Squibb is looking for an experienced sourcing and contracting professional to join its Agile Sourcing team. Bristol Myers Squibb is a global BioPharma company firmly focused on its mission to discover, develop and deliver innovative medicines that help patients prevail over serious diseases. We focus on the needs of health care professionals, patients, employees, shareholders and our communities, giving maximum priority to developing innovative medicines, accelerating pipeline development, delivering solid growth, continuing to manage costs, and adhering to high standards of business conduct and ethics. We are looking for an experienced sourcing and contracting professional who can be successful within our fast-paced, adaptive and focused culture. Description The Contracting Specialist, Senior Manager, Agile Sourcing will be part of a team that delivers an industry-leading contracting capability for cross functional stakeholders through efficient contract review, issue identification and analysis, redlining, negotiation and management of escalations to the legal department. It will be key for this individual to manage effective collaboration across multiple Markets. The candidate will need to be able to handle a heavy workload with sometimes short and/or expedited deadlines. The individual must have excellent communication skills and must work quickly, diligently, independently and efficiently. The individual in this role must also be able to resolve complex negotiation issues in a timely manner and push a deal through to execution. This individual must be able to build strong relationships of mutual trust and accountability with the internal business clients, contracting teams and legal department. The Contracting Specialist will ensure effective negotiating and contracting activities to achieve desired procurement outcomes in support of our company's goals. This position will report to the Director, International Contracting. The key competencies for this role include Procurement and Contracting Fundamentals People Management Project and Stakeholder Management Strategic Planning & Organization Future Oriented Growth Mindset Change Management & Communications Business Process & Performance Management Strong Mission & Values Alignment Company & Industry Expertise Key Responsibilities Drive and manage the end-to-end contracting process in support of operations across multiple markets with cross functional stakeholders. Perform appropriate due diligence by issue spotting and assessing risk mitigating options Execute contracts in a timely manner with appropriate legal support to ensure compliance with company standards Coordinate and perform contract analysis to negotiate business/commercial terms to advance BMS' interests and goals Understand the contractual terms and be able to explain their risks and implications to the internal business stakeholders to help drive appropriate decision-making Manage multiple, complex projects independently Ensure applicable written guidelines and company policy are followed and required SME input is obtained where required (i.e., privacy, finance, international and domestic taxation, customs and trade, information security, systems quality, software asset management) Maintain awareness of pre-contracting steps, including underlying BMS policies and procedures related to the contracts and the contracted activities within scope Partner directly with adjacent stakeholders and deliver on complex, high-risk issues or projects Act as a trusted advisor to global category managers and their leadership to ensure procurement strategies can be delivered against the expectations of the business Act as an expert facilitator to fully manage and lead complex contract negotiations in partnership with business stakeholders, global procurement category managers, legal and other participants in the contracting process, including various subject matter experts Coordinate with cross-functional and stakeholders to ensure timely, compliant and efficient facilitation of contracts Identify points of escalation for Agile Sourcing to interface with relevant stakeholders regarding contracting and procurement policy and related operational questions Performance Management & Continuous Improvement for Source to Contract Partner and share best practices and learnings with Agile Sourcing team to ensure business needs are proactively met in an aligned, consistent and collaborative manner across functional areas and in a manner that is complaint with BMS Standard Operating Procedures and protocols Work with procurement and legal to develop and maintain contracting guidance documents to continually improve on an efficient and effective contracting function Support continuous improvement initiatives towards an industry-leading contracting capability within Agile Sourcing by participating in, creating and participate in developing training to provide opportunities for expansion of contracting skillsets Participate in continuous improvement initiatives within procurement to strengthen our contracting and sourcing outcomes Explore new procurement technologies with a focus on AI/ML opportunities Qualifications & Experience Legal Degree preferred Minimum of 4-6 years prior related experience, including relevant enabling services, commercial, research & development, global product supply, procurement, sourcing and contracting experience, including but not limited to drafting, redlining, reviewing and negotiating procurement / business contracts, procurement negotiations and familiarity with Master Services Agreements Experience collaborating with and participating on cross-functional and global teams and demonstrated ability to work and influence within a matrix structure Expertise in procurement process, agreement management, financial analysis, market analysis, supplier analysis, supplier diversity, supplier management, technology utilization, strategic planning and integrated supply chain experience Expertise in contract construction, terms and conditions, with strong preference for working knowledge of facilitating, drafting and negotiating buy-side and other in-scope contracts in the pharma/biotech industry Excellent oral and written communication skills and diplomacy to convey information and influence others with a strong customer focus Demonstrates a high level of adaptability in dealing with ambiguous and complex work environment and balances multiples demands on role in a responsive and professional manner and proven ability to engage teams and inspire them to sustain high levels of performance in a constantly changing environment Experience with Contract Lifecycle Management technology (e.g., Icertis) to automate and streamline processes If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues. On-site Protocol BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area. If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information https //careers.bms.com/california-residents/ Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations. Show more Show less

About ISOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether you’re a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. The companies are headquartered in St. Petersburg, FL, U.S.A., with their global delivery centers in Mysuru and Bengaluru, Karnataka, India. Job Description The Group Product Manager will lead the strategic development and enhancement of our proprietary business intelligence platform, iSOCRATES MADTechAI, as well as other innovative products. This role demands a deep understanding of technology, strong analytical skills, and a collaborative mindset to evaluate product potential, oversee the product lifecycle, and ensure alignment with both client-partner and internal needs. Key Responsibilities Product Management and Strategy: Lead the strategic vision and execution of iSOCRATES MADTechAI, focusing on feature enhancements and user experience improvements Conduct market research to identify customer needs within the AdTech, MarTech, and DataTech landscapes, translating them into actionable product requirements Prioritize product features based on business impact, customer feedback, and technical feasibility Product Development Lifecycle: Oversee the entire product development lifecycle, including conception, design, development, testing, and launch phases Utilize Agile methodologies (SCRUM, Kanban) to facilitate iterative development and continuous improvement Manage roadmaps, timelines, and deliverables using tools like Jira, ensuring projects are on track and risks are mitigated Technical Design and Architecture: SaaS Development: Deep understanding of SaaS architecture, deployment, and lifecycle management Cloud Platforms: Proficiency with cloud platforms (AWS required; Google Cloud and Azure preferred) AI and Machine Learning: Extensive experience with AI/ML concepts, tools, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and their application in product development Data Engineering: Strong knowledge of data engineering principles, including ETL processes, data pipelines, and data modeling to ensure data integrity and availability for analytics Data Analytics: Strong knowledge of data analytics, data warehousing, and business intelligence tools (e.g., SQL, Tableau, PowerBI, Sisense) Natural Language Processing (NLP): Familiarity with NLP techniques and applications in product features to enhance user engagement and insights Microservices Architecture: Experience designing and implementing microservices architectures to enhance product scalability and maintainability ReactJS Technologies: Proficiency in ReactJS and related frameworks to ensure seamless front-end development and integration with back-end services Collaborate with engineering teams to define system architecture and design concepts that align with best practices in UX/UI Ensure the integration of various technologies, including APIs, AngularJS, Node.js, ReactJS, and MVC architecture into product offerings Strong hands-on experience in Product-Led Growth (PLG) strategies and Partner/Channel go-to-market approaches Cross-Functional Collaboration: Partner closely with the U.S. and India-based Partner Success teams to support pre-sales activities and customer engagement, acting as a subject matter expert in AdTech, MarTech, and DataTech Facilitate communication between product, engineering, marketing, and sales teams to ensure cohesive product strategy and execution Engage with external customers to gather feedback and drive product iterations Data Analysis and Insights: Design and implement client data analysis methodologies, focusing on data-driven decision-making processes relevant to AdTech, MarTech, and DataTech Develop analytics frameworks that leverage data science principles and advanced statistical methods to derive actionable insights for clients Monitor product performance metrics and develop KPIs to assess impact and identify areas for improvement, leveraging A/B testing and experimentation techniques Process Development and Improvement: Establish and refine processes for product management, ensuring repeatability and scalability Lead initiatives to enhance existing workflows, focusing on efficiency and effectiveness in product delivery Create and present progress reports, updates, and presentations to senior management and stakeholders Qualifications  Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field MBA or specialized training in product management or data science is preferred 12 to 20 years of experience in technology product engineering and development, with a minimum of 10 years in product management Proven track record in managing complex products, especially in business intelligence or marketing technology domains Strong proficiency in BI platforms (e.g., Sisense, Tableau, PowerBI, Looker, DOMO) and data visualization tools Deep understanding of cloud platforms (AWS, Snowflake) and experience with database query languages (SQL, NoSQL) Expertise in API development and management, along with knowledge of front-end technologies (AngularJS, ReactJS, Bootstrap) In-depth knowledge of AI and NLP technologies, with experience in applying them to enhance product functionality Strong background in data engineering, including ETL processes, data warehousing, and data pipeline management Must have a strong understanding of digital advertising, including AdTech, MarTech, and DataTech technologies Experience in B2C and B2B SaaS product development, particularly in customer journey mapping and email marketing Strong analytical and problem-solving abilities, with a focus on data-driven outcomes Excellent communication and presentation skills, capable of articulating complex ideas to diverse audiences Collaborative and open-minded, fostering a culture of innovation and accountability High energy and enthusiasm for driving product success in a fast-paced environment Have extensive experience with Atlassian products including JIRA and Confluence Have extensive experience with Product Management and Monitoring Software Must be ready to relocate to Mysuru or Bengaluru Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Managed Services Management Level Senior Associate Job Description & Summary A career in our Process and Performance Management practice, within Finance Consulting services, will provide the opportunity to work alongside CEOs, CFOs, controllers and treasurers to optimise the structure of their finance functions and improve their contribution to the business. We support our clients by addressing the challenges of achieving appropriate standards of control, efficient back office opportunities and support to the business through insight and challenge. As part of our process management team, you’ll help our clients develop an effective performance management framework that understands key business drivers and challenges, yet supports business decisions. Simply put, we help the finance function get equipped to deliver effective support to the business through process tools and capabilities. PwC India is hiring for its Finance Effectiveness Practice within Management Consulting for Gurgaon and Mumbai locations. Seeking professionals with rich experience (6+ years) in finance transformation and/or shared services & outsourcing strategy, design, and implementation. Required Qualification: MBA/CA Job Description: PwC - Finance Transformation practice spans the finance value chain from finance vision and strategy through finance operations. Our range of services include: Insights: Enterprise Performance Management, planning and budgeting, costing, and reporting Business Transformation: Revenue enhancement, strategic cost management, asset productivity enhancement, post-merger integration services Finance Function Transformation: End to end transformation covering finance strategy, structure, people, process, technology and change aspects Efficiency: Efficiency in operating model (Shared Services Advisory, Outsourcing Advisory, SSC Build Operate Transfer) and efficiency in operations (process optimization for P2P, O2C, R2R, FP & Treasury, working capital etc.) Risk, Compliance and Control: Internal controls optimization, statutory compliance management, IFRS People: Finance talent assessment and management, finance leadership assessment and finance technical training Technology/Digital: Systems and data management including advanced technologies such as cloud, intelligent automation, AI-ML, analytics etc. Roles and Responsibilities:  Client project delivery and management: project planning, solution  Design, execution, reporting, stakeholder management, issue/risk management, project financial management etc.  Lead/Support in business development activities: client pursuits, go to market activities etc.  Lead/support in creation of new solutions or methodologies  Lead/Support in creation of thought leading content and white papers  Coach and mentor other team members (if People Manager responsibilities are applicable) Desired skills/qualities:  Strong technical skills across design and implementation. Tool/System implementation experience is a plus.  Client facing experience and ability to engage senior stakeholders. Ability to build and sustain relationships.  Strong time management and multi-tasking skills  Equally adept in being a team player and individual contributor  Excellent communication – verbal, written, communication with impact & empathy  Curiosity: ability to continuously learn, develop self; others through coaching  Commercial orientation  Open minded attitude with ability to receive and give feedback  Willingness to undertake a fair amount of business travel  Good exposure to the Indian market for both business development and engagement delivery. Mandatory skill sets- FE, FT Year of experience required- 2.5 Qualifications- MBA/CA Required Skills Finance Transformation Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

Job Description Senior Specialist - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Senior Specialist - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior expertise in the healthcare analytics or consulting sectors, prior experience in leading Data Science teams and delivering end-to-end data science projects against business priorities. Thorough understanding of different Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum is expected. Extensive experience on commercial pharma analytics (HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting). You will collaborate with Market leaders to answer critical business questions using data science solutions. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who You Are You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities Lead a moderate sized team of Data Scientist to solve complex business problems. Collaborate with business leaders to define and prioritize the business problems, work with the team to conceptualize the data science solution to address the problem Lead the end to end Program Management to ensure that team is working as per aligned business priorities Standardize and scale data science solutions to increase the delivery efficiency on prioritized work Collaborate with cross-functional teams to design and implement solutions that meet business requirements Define business & technical requirements (datasets, business rules, technical architecture), provide technical direction to the team and manage end-to-end projects Present the findings to senior business stakeholders in a clear and concise manner Ensure the technical and professional development of junior team members by required mentorship and defining the career progression pathway Develop deep expertise in the therapeutic area of interest, contribute to thought leadership in the domain through publications and conference presentations. Minimum Qualifications Bachelor’s degree with 8-10 years industry experience Extensive experience in healthcare analytics or consulting sectors Extensive experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc. Extensive experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (e.g., creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Experience in project management, senior level stakeholder management Experience in leading small sized teams Strong Python/R, SQL, Excel skills Strong foundation of statistics and machine learning Preferred Qualifications Advanced degree in STEM (MS, MBA, PhD) Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics Experience of supporting End to End Program Management Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Not Applicable Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/15/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R337095 Show more Show less

Job Description Senior Specialist - Data Science At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats. Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Analyst - Data Science. This role involves working with our partners in different Therapeutic areas (e.g. Oncology, Vaccines, Pharma & Rare Disease, etc.) and Domain areas (HCP Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across the organization to help create scalable and production-grade analytics solutions, ranging from data visualization and reporting to advanced statistical and AI/ML models. You will work in one of the three therapeutic areas of Brand Strategy and Performance Analytics – Oncology/Vaccines/Pharma & Rare Disease, where you will play a pivotal role in leveraging your statistical and machine learning expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced data scientists and business analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions. We are seeking candidates with prior expertise in the healthcare analytics or consulting sectors, prior experience in leading Data Science teams and delivering end-to-end data science projects against business priorities. Thorough understanding of different Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo, and Optum is expected. Extensive experience on commercial pharma analytics (HCP Analytics, PLD analytics, concepts like persistence, compliance, line of therapy, etc., or Segmentation & Targeting). You will collaborate with Market leaders to answer critical business questions using data science solutions. You will be part of a dynamic team that collaborates with our partners across therapeutic areas. Furthermore, effective communication skills are crucial, as this role requires interfacing with executive and business stakeholders. Who You Are You understand the foundations of statistics and machine learning and can work in high performance computing/cloud environments, with experience/knowledge in aspects across statistical analysis, machine learning, model development, data engineering, data visualization, and data interpretation You are self-motivated, and have demonstrated abilities to think independently as a data scientist You structure your data science approach according to the necessary task, while appropriately applying the correct level of model complexity to the problem at hand You have an agile mindset of continuous learning and will focus on integrating enterprise value into team culture You are kind, collaborative, and capable of seeking and giving candid feedback that effectively contributes to a more seamless day-to-day execution of tasks Key Responsibilities Lead a moderate sized team of Data Scientist to solve complex business problems. Collaborate with business leaders to define and prioritize the business problems, work with the team to conceptualize the data science solution to address the problem Lead the end to end Program Management to ensure that team is working as per aligned business priorities Standardize and scale data science solutions to increase the delivery efficiency on prioritized work Collaborate with cross-functional teams to design and implement solutions that meet business requirements Define business & technical requirements (datasets, business rules, technical architecture), provide technical direction to the team and manage end-to-end projects Present the findings to senior business stakeholders in a clear and concise manner Ensure the technical and professional development of junior team members by required mentorship and defining the career progression pathway Develop deep expertise in the therapeutic area of interest, contribute to thought leadership in the domain through publications and conference presentations. Minimum Qualifications Bachelor’s degree with 8-10 years industry experience Extensive experience in healthcare analytics or consulting sectors Extensive experience working with real world evidence (RWE) and patient level data (PLD) from leading vendors such as IQVIA, Komodo, Optum etc. Extensive experience in HCP Analytics, Segmentation and Targeting and Patient Level Data analytics (e.g., creating Patient Cohorts, knowledge of Lines of Therapy, Persistency, Compliance, etc.) Experience in project management, senior level stakeholder management Experience in leading small sized teams Strong Python/R, SQL, Excel skills Strong foundation of statistics and machine learning Preferred Qualifications Advanced degree in STEM (MS, MBA, PhD) Experience in Oncology/Vaccine/Pharma & Rare Diseases therapeutic area commercial analytics Experience of supporting End to End Program Management Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Regular Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 07/15/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R335740 Show more Show less

Job Description Intern, Global Commercial Pharma Pipeline Analytics Our Human Health Digital Data and Analytics team is innovating how we understand our patients and their needs. Working cross functionally we are inventing new ways of engaging, interacting with our customers and patients leveraging digital, data and analytics and measuring the impact. The Internship Program at our company features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Human Health division can provide you with great development and a chance to see if we are the right company for your long-term goals. The program allows students to work on one or more data science projects within our Company's Human Health Commercial division. These opportunities are designed to facilitate the transition from academia to industry for soon-to-be graduates and will involve participation and contribution in real projects being carried out by our company’s data science team. This is also a way for you to identify if our company may be the right company for your long-term career goals. These positions are typically 3-6 months long and have various start dates throughout the year. Most of the projects will involve analyses in support of our company's commercial objectives. Candidates will be responsible for providing analytical and technical support, which includes the collection and analysis of internal and external pharmaceutical data to assist in making meaningful business decisions. Candidates will help to solve novel commercial analytic questions through use of Advanced Analytics (AI/ML). Required Education And Skills Candidates must be currently enrolled in bachelor’s / master’s / PhD degree program in a Quantitative discipline such as Data Science, Statistics, Mathematics, Physics, Economics, Computational Biology, Engineering, Management or other relevant discipline. Candidates must be expected to graduate in the next 1-2 years. Candidates must have fluency in at least one programming environments such as SQL/Python and sound understanding of OOPs Candidates must have familiarity with the basics of data science and advanced statistical methods (clustering, regression, classification, etc.) and ability to determine the correct method for the task or have the willingness to learn the same Candidates must have demonstrated ability to problem solve independently on complex analytical projects Candidates must have an interest in supporting pharmaceutical data and analytics initiatives like segmentation & targeting, digital analytics, big data analytics, patient claims analytics Candidates will be required to serve as a quantitative methodology professional by developing creative analytical solutions and applying appropriate statistical and/or machine learning methodologies to answer novel commercial analytic questions Candidates should be effective oral and written communicators Candidates must be able to strike a balance between methodological rigor and project timelines/deliverables Preferred Experience And Skills Knowledge on MS Office Package - Excel and PPT is must Candidates having experience with one or more of the standard machine learning and data manipulation packages such as scikit-learn/NumPy/Pandas Candidates having familiarity with SQL & databases Redshift/Athena Candidates having familiarity with Natural Language Processing & Large Language Models Planned Learning Experience And Skills To gain experience in healthcare data, insights, and analytics Therapeutic area experience in infectious diseases/HIV, immunology, cardio-metabolic and/or ophthalmology diseases Global market exposure Our Human Health Division maintains a “patient first, profits later” ideology. The organization is comprised of sales, marketing, market access, digital analytics, and commercial professionals who are passionate about their role in bringing our medicines to our customers worldwide. Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. Employee Status Intern/Co-op (Fixed Term) Relocation VISA Sponsorship Travel Requirements Flexible Work Arrangements Hybrid Shift Valid Driving License Hazardous Material(s) Required Skills Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model Preferred Skills Job Posting End Date 06/18/2025 A job posting is effective until 11 59 59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. Requisition ID R345715 Show more Show less

Description Customer addresses, Geospatial information and Road-network play a crucial role in Amazon Logistics' Delivery Planning systems. We own exciting science problems in the areas of Address Normalization, Geocode learning, Maps learning, Time estimations including route-time, delivery-time, transit-time predictions which are key inputs in delivery planning. As part of the Geospatial science team within Last Mile, you will partner closely with other scientists and engineers in a collegial environment to develop enterprise ML solutions with a clear path to business impact. The setting also gives you an opportunity to think about a complex large-scale problem for multiple years and building increasingly sophisticated solutions year over year. In the process there will be opportunity to innovate, explore SOTA and publish the research in internal and external ML conferences. Successful candidates will have deep knowledge of competing machine learning methods for large scale predictive modelling, natural language processing, semi-supervised & graph based learning. We also look for the experience to graduate prototype models to production and the communication skills to explain complex technical approaches to the stakeholders of varied technical expertise. Key job responsibilities As an Applied Scientist I, your responsibility will be to deliver on a well defined but complex business problem, explore SOTA technologies including GenAI and customize the large models as suitable for the application. Your job will be to work on a end-to-end business problem from design to experimentation and implementation. There is also an opportunity to work on open ended ML directions within the space and publish the work in prestigious ML conferences. About The Team LMAI team owns WW charter for address and location learning solutions which are crucial for efficient Last Mile delivery planning, who also owns problems in the space of maps learning and travel time estimations. Basic Qualifications Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse Preferred Qualifications Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer-reviewed conferences or journals 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. Company - ADCI HYD 13 SEZ Job ID: A3009636 Show more Show less

Experience : 2.00 + years Salary : INR 2000000-2500000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: I-Stem) (*Note: This is a requirement for one of Uplers' client - I-Stem) What do you need for this opportunity? Must have skills required: Voice AI, Voice AI products, AI models, Large Language Models (LLMs), Python, Model deployment, Building AI Models, ASR models, Text-to-Speech (TTS) I-Stem is Looking for: You will: Develop, test, and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS) Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding) Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products Monitor agent performance in production, analyze failure cases, and drive continuous improvement You are: An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS) Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error A clear thinker who deconstructs complex voice interactions from first principles Passionate about making voice technology inclusive and accessible for diverse users Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility Interview Process : Intro call Technical Round (Coding + problem statement + design the live solution on call) Offer discussion How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 2.00 + years Salary : INR 2000000-2500000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: I-Stem) (*Note: This is a requirement for one of Uplers' client - I-Stem) What do you need for this opportunity? Must have skills required: Voice AI, Voice AI products, AI models, Large Language Models (LLMs), Python, Model deployment, Building AI Models, ASR models, Text-to-Speech (TTS) I-Stem is Looking for: You will: Develop, test, and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS) Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding) Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products Monitor agent performance in production, analyze failure cases, and drive continuous improvement You are: An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS) Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error A clear thinker who deconstructs complex voice interactions from first principles Passionate about making voice technology inclusive and accessible for diverse users Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility Interview Process : Intro call Technical Round (Coding + problem statement + design the live solution on call) Offer discussion How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 2.00 + years Salary : INR 2000000-2500000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: I-Stem) (*Note: This is a requirement for one of Uplers' client - I-Stem) What do you need for this opportunity? Must have skills required: Voice AI, Voice AI products, AI models, Large Language Models (LLMs), Python, Model deployment, Building AI Models, ASR models, Text-to-Speech (TTS) I-Stem is Looking for: You will: Develop, test, and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS) Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding) Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products Monitor agent performance in production, analyze failure cases, and drive continuous improvement You are: An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS) Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error A clear thinker who deconstructs complex voice interactions from first principles Passionate about making voice technology inclusive and accessible for diverse users Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility Interview Process : Intro call Technical Round (Coding + problem statement + design the live solution on call) Offer discussion How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less

Experience : 2.00 + years Salary : INR 2000000-2500000 / year (based on experience) Expected Notice Period : 30 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: I-Stem) (*Note: This is a requirement for one of Uplers' client - I-Stem) What do you need for this opportunity? Must have skills required: Voice AI, Voice AI products, AI models, Large Language Models (LLMs), Python, Model deployment, Building AI Models, ASR models, Text-to-Speech (TTS) I-Stem is Looking for: You will: Develop, test, and refine end-to-end voice agent models (ASR, NLU, dialog management, TTS) Stress-test agents in noisy, real-world scenarios and iterate for improved robustness and low latency Research and prototype cutting-edge techniques (e.g. robust speech recognition, adaptive language understanding) Partner with backend and frontend engineers to seamlessly integrate AI components into live voice products Monitor agent performance in production, analyze failure cases, and drive continuous improvement You are: An AI/Software Engineer with hands-on experience in speech-centric ML (ASR, NLU or TTS) Skilled in building and tuning transformer-based speech models and handling real-time audio pipelines Obsessed with reliability: you design experiments to push agents to their limits and root-cause every error A clear thinker who deconstructs complex voice interactions from first principles Passionate about making voice technology inclusive and accessible for diverse users Comfortable moving fast in a small team, yet dogged about code quality, testing and reproducibility Interview Process : Intro call Technical Round (Coding + problem statement + design the live solution on call) Offer discussion How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less