449 Nlp Jobs

Job Title: Assistant Manager Data Annotation Location: [Pune] Reports To: Manager Job Summary We are seeking a detail-oriented and experienced Assistant Manager Data Annotation to lead and oversee data labeling initiatives essential for training machine learning models. In this role, you will supervise data annotators, ensure high-quality data standards, and collaborate closely with data scientists to enhance annotation workflows and guidelines. Your leadership and analytical skills will contribute directly to the performance and accuracy of our AI systems. Key Responsibilities Supervise and manage a team of data annotators, ensuring timely and accurate completion of labeling tasks. Review and validate annotated datasets for consistency, accuracy, and compliance with project requirements. Collaborate with data scientists and machine learning engineers to refine annotation protocols and support model development. Identify and resolve data discrepancies or inconsistencies proactively. Develop and implement quality control processes for ongoing annotation projects. Generate regular reports on annotation progress, quality metrics, and team performance. Stay current with advancements in data annotation tools, methodologies, and machine learning best practices. Provide training and support to new team members and ensure adherence to established guidelines. Requirements Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field. Proven experience as a Data Annotator or in a similar role, with at least 2–3 years in a supervisory or lead position. Strong attention to detail and commitment to data quality. Excellent analytical and problem-solving skills. Sound understanding of machine learning concepts and data preparation workflows. Proficiency in data management and annotation tools (e.g., Labelbox, CVAT, VGG Image Annotator, etc.). Strong communication and team leadership skills. Preferred Qualifications Experience in managing annotation projects in computer vision, NLP, or other AI domains. Familiarity with scripting languages like Python for basic data handling or automation. Knowledge of Agile project management methodologies.

Join Team Amex and let's lead the way together. How will you make an impact in this role? The Global Compliance & Ethics (GC&E) organization establishes the framework for American Express global compliance risk management program commensurate with the size, complexity and risk profile of the entity. As an independent risk management function, GC&E is responsible for overseeing the organization’s compliance with regulatory expectations through a combination of monitoring and testing activities. The Director of Data Analytics and Reporting is a new role that will be responsible for building and overseeing an analytics program designed to identify themes and trends across issues and complaint data with the purpose of driving compliance monitoring activities. Further, this role will assist the GC&E organization in independently gathering and evaluating pertinent data for use in its ongoing administration of its oversight duties. This role is essential in assisting GC&E in evolving the compliance risk management program to ensure the organization adheres to all relevant laws, regulations, and internal policies. The ideal candidate will be self-driven, have expertise in both building and managing analytic design and optimization efforts, ability to coordinate across cross matrixed environments, and is proficient in generating senior-leader ready reporting. Key Responsibilities: Collect, analyze, and interpret complex data from various sources to provide actionable insights. Develop reoccurring reporting that equips GC&E with the data needed to more effectively oversee the compliance framework. Partner with the broader GC&E to define the standards and deliverables to evidence a robust regulatory monitoring program. Drive awareness of regulatory monitoring requirements across the organization, ensuring alignment and accountability. Create reports, dashboards, and visualizations to distill large datasets into clear, concise, and meaningful information for leadership. Present data findings in a compelling way that tells a clear story, helping leadership understand trends, opportunities, and areas for improvement. Foster collaboration by engaging with stakeholders at all levels, understanding their needs, and tailoring data solutions to meet those requirements. Lead and develop a high-performing Regulatory Compliance team, fostering a culture of compliance excellence and continuous improvement. Governance: Designs, oversees, or substantively participates in risk governance structures, supporting clear accountability and decision-making frameworks that align with organizational objectives and regulatory requirements. Change risk management: Assesses, manages, or monitors risks arising from organizational, regulatory or environmental changes, so transitions do not expose the organization to new or unintended risks or lead to non-compliance with laws, regulatory requirements and supervisory expectations. Documentation: Develops and maintains practices and reporting to enable accurate and thorough records of risk management activities, supporting accountability and traceability throughout the risk management process. Risk communication and reporting: Communicates risk data, trends and analysis through structured reports, so key stakeholders, including the board of directors and senior leadership, receive timely, aggregate, accurate, complete and relevant information. Compliance regulatory reporting: Aggregates Compliance risk exposures across products, sectors or regions, and report to regulators in line with regulatory reporting requirements (e.g., SR 08-8, Heightened Standards, FRB LFI, CFPB, UK SMR, UK FCA). Qualifications: Bachelor’s degree required in Analytics, Computer Science, Statistics or related field; JD or Master’s degree preferred. Minimum of 10 years of experience in data analytics. Professional analytics certification preferred (Coursera, Exam DA-100, CAP) Excellent analytical, communication, and presentation skills with the ability to convey analytic results clearly and concisely to senior leadership. Strategic thinking and a being able to act independently in driving day to day operations. Proven track record of managing programs and improving processes within a regulated environment. Ability to manage multiple projects simultaneously and prioritize tasks effectively. Excellent interpersonal skills to influence and collaborate with stakeholders at all levels. Familiarity with regulatory requirements issued by CFPB, Federal Reserve, FDIC and OCC. Compliance Language We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

What You'll Do We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will build core agent infrastructureA2A orchestration and MCP-driven tool discoveryso teams can launch secure, scalable agent workflows. You will be reporting to Senior Manager, Machine Learning What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Promote innovation by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards, contributing to the project's. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful 6+ years of experience building Machine Learning models and deploying them in production environments as part of creating solutions to complex customer problems. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Experience working with technological innovations in AI & ML(esp. GenAI) and apply them. Experience with design patterns and data structures. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, Agents, A2A, MCP, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, and Grafana.

What You'll Do We are looking for experienced Machine Learning Engineers with a background in software development and a deep enthusiasm for solving complex problems. You will lead a dynamic team dedicated to designing and implementing a large language model framework to power diverse applications across Avalara. Your responsibilities will span the entire development lifecycle, including conceptualization, prototyping and delivery of the LLM platform features. You will have a blend of technical skills in the fields of AI & Machine Learning especially with LLMs and a deep-seated understanding of software development practices where you'll work with a team to ensure our systems are scalable, performant and accurate. You will be reporting to Senior Manager, AI/ML. What Your Responsibilities Will Be We are looking for engineers who can think quick and have a background in implementation. Your responsibilities will include: Build on top of the foundational framework for supporting Large Language Model Applications at Avalara Experience with LLMs - like GPT, Claude, LLama and other Bedrock models Leverage best practices in software development, including Continuous Integration/Continuous Deployment (CI/CD) along with appropriate functional and unit testing in place. Inspire creativity by researching and applying the latest technologies and methodologies in machine learning and software development. Write, review, and maintain high-quality code that meets industry standards. Lead code review sessions, ensuring good code quality and documentation. Mentor junior engineers, encouraging a culture of collaboration. Proficiency in developing and debugging software with a preference for Python, though familiarity with additional programming languages is valued and encouraged. What You'll Need to be Successful Bachelor's/Master's degree in computer science with 5+ years of industry experience in software development, along with experience building Machine Learning models and deploying them in production environments. Proficiency working in cloud computing environments (AWS, Azure, GCP), Machine Learning frameworks, and software development best practices. Work with technological innovations in AI & ML(esp. GenAI) Experience with design patterns and data structures. Good analytical, design and debugging skills. Technologies you will work with: Python, LLMs, MLFlow, Docker, Kubernetes, Terraform, AWS, GitLab, Postgres, Prometheus, Grafana

Position Summary LLMOps(Large language model operations) Engineer will play a pivotal role in building and maintaining the infrastructure and pipelines for our cutting-edge Generative AI applications, establishing efficient and scalable systems for LLM research, evaluation, training, and fine-tuning. Engineer will be responsible for managing and optimizing large language models (LLMs) across various platforms This position is uniquely tailored for those who excel in crafting pipelines, cloud infrastructure, environments, and workflows. Your expertise in automating and streamlining the ML lifecycle will be instrumental in ensuring the efficiency, scalability, and reliability of our Generative AI models and associated platform. LLMOps engineers expertise will ensure the smooth deployment, maintenance, and performance of these AI platforms and powerful large language models. You will follow Site Reliability Engineering & MLOps principles and will be encouraged to contribute your own best practices and ideas to our ways of working. Reporting to the Head of Cloud Native operations, you will be an experienced thought leader, and comfortable engaging senior managers and technologists. You will engage with clients, display technical leadership, and guide the creation of efficient and complex products/solutions. Key Responsibilities Technical & Architectural Leadership Contribute to the technical delivery of projects, ensuring a high quality of work that adheres to best practices, brings innovative approaches and meets client expectations. Project types include following (but not limited to): Solution architecture, Proof of concepts (PoCs), MVP, design, develop, and implementation of ML/LLM pipelines for generative AI models, data management & preparation for fine tuning, training, deployment, and monitoring. Automate ML tasks across the model lifecycle. Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of advanced AI solutions using Large Language Models (LLM) & Natural Language Processing (NLP) techniques and partner technologies. Collaborate with cross-functional teams to integrate LLM and NLP technologies into existing systems. Ensure the highest levels of governance and compliance are maintained in all ML and LLM operations. Stay abreast of the latest developments in ML and LLM technologies and methodologies, integrating these innovations to enhance operational efficiency and model effectiveness. Collaborate with global peers from partner ecosystems on joint technical projects. This partner ecosystem includes Google, Microsoft, Nvidia, AWS, IBM, Red Hat, Intel, Cisco, and Dell VMware etc. Service Delivery Provide a technical hands-on contribution. Create scalable infra to support enterprise loads (distributed GPU compute, foundation models, orchestrating across multiple cloud vendors, etc.) Ensuring the reliable and efficient platform operations. Apply data science, machine learning, deep learning, and natural language processing methods to analyse, process, and improve the models data and performance. Understanding of Explainability & Biased Detection concepts. Create and optimize prompts and queries for retrieval augmented generation and prompt engineering techniques to enhance the models capabilities and user experience w.r.t Operations & associated platforms. Client-facing influence and guidance, engaging in consultative client discussions and performing a Trusted Advisor role. Provide effective support to HCL Sales and Delivery teams. Support sales pursuits and enable HCL revenue growth. Define the modernization strategy for client platform and associated IT practices, create solution architecture and provide oversight of the client journey. Innovation & Initiative Always maintain hands-on technical credibility, keep in front of the industry, and be prepared to show and lead the way forward to others. Engage in technical innovation and support HCLs position as an industry leader. Actively contribute to HCL sponsorship of leading industry bodies such as the CNCF and Linux Foundation. Contribute to thought leadership by writing Whitepapers, blogs, and speaking at industry events. Be a trusted, knowledgeable internal innovator driving success across our global workforce. Client Relationships Advise on best practices related to platform & Operations engineering and cloud native operations, run client briefings and workshops, and engage technical leaders in a strategic dialogue. Develop and maintain strong relationships with client stakeholders. Perform a Trusted Advisor role. Contribute to technical projects with a strong focus on technical excellence and on-time delivery. Mandatory Skills & Experience Expertise in designing and optimizing machine-learning operations, with a preference for LLMOps. Proficient in Data Science, Machine Learning, Python, SQL, Linux/Unix shell scripting. Experience on Large Language Models and Natural Language Processing (NLP), and experience with researching, training, and fine-tuning LLMs. Contribute towards fine-tune Transformer models for optimal performance in NLP tasks, if required. Implement and maintain automated testing and deployment processes for machine learning models w.r.t LLMOps. Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows. Develop and maintain robust monitoring and alerting systems for generative AI models ensuring proactive identification and resolution of issues. Research or engineering experience in deep learning with one or more of the following: generative models, segmentation, object detection, classification, model optimisations. Experience implementing RAG frameworks as part of available-ready products. Experience in setting up the infrastructure for the latest technology such as Kubernetes, Serverless, Containers, Microservices etc. Experience in scripting programming to automate deployments and testing, worked on tools like Terraform and Ansible. Scripting languages like Python, bash, YAML etc. Experience on CI/CD opensource and enterprise tool sets such as Argo CD, Jenkins. Experience with the GitHub/DevOps Lifecycle Experience in at least one of the Observability solutions (Prometheus, EFK stacks, ELK stacks, Grafana, Dynatrace, AppDynamics) Experience in at-least one of the clouds for example - Azure/AWS/GCP Significant experience on microservices-based, container-based or similar modern approaches of applications and workloads. You have exemplary verbal and written communication skills (English). Able to interact and influence at the highest level, you will be a confident presenter and speaker, able to command the respect of your audience. Desired Skills & Experience Bachelor level technical degree or equivalent experience; Computer Science, Data Science, or Engineering background preferred; masters degree desired. Experience in LLMOps or related areas, such as DevOps, data engineering, or ML infrastructure. Hands-on experience in deploying and managing machine learning and large language model pipelines in cloud platforms (e.g., AWS, Azure) for ML workloads. Familiar with data science, machine learning, deep learning, and natural language processing concepts, tools, and libraries such as Python, TensorFlow, PyTorch, NLTK etc. Experience in using retrieval augmented generation and prompt engineering techniques to improve the models quality and diversity to improve operations efficiency. Proven experience in developing and fine-tuning Language Models (LLMs). Stay up-to-date with the latest advancements in Generative AI, conduct research, and explore innovative techniques to improve model quality and efficiency. The perfect candidate will already be working within a System Integrator, Consulting or Enterprise organisation with 8+ years of experience in a technical role within the Cloud domain. Deep understanding of core practices including SRE, Agile, Scrum, XP and Domain Driven Design. Familiarity with the CNCF open-source community. Enjoy working in a fast-paced environment using the latest technologies, love Labs dynamic and high-energy atmosphere, and want to build your career with an industry leader.

Primary skill Gen AI developer Secondary skill Model hosting LLM knowledge. Ability to stay updated with the latest advancements in generative AI research and incorporate them into work. -Advanced programming knowledge, including mastery of programming languages such as Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. -Expertise in generative models such as generative adversarial networks (GANs) and variational autoencoders (VAEs). The candidate should be able to design, train, and optimize these models to generate high-quality, creative content. -Natural language processing (NLP) for text generation projects. This includes familiarity with techniques for text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. -Model hosting LLM knowledge -Ability to design and implement scalable and efficient AI systems. -Advanced knowledge of natural language processing for text generation tasks. -Familiarity with computer vision and image generation using AI. Akshay : Ignore -Skills in data preprocessing and feature engineering for AI model training. -Strong understanding of neural network architectures and optimization techniques.

What you will do We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. Roles & Responsibilities: Collaborate with data scientists to develop, train, and evaluate machine learning models. Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring. Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment. Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency. Develop and implement monitoring systems to track model performance and identify issues. Conduct A/B testing and experimentation to optimize model performance. Work closely with data scientists, engineers, and product teams to deliver ML solutions. Guide and mentor junior engineers in the team Stay updated with the latest trends and advancements Basic Qualifications: Doctorate degree and 2 years of Computer Science, Statistics, and Data Science, Machine Learning experience OR Masters degree and 8 to 10 years of Computer Science, Statistics, and Data Science, Machine Learning experience OR Bachelors degree and 10 to 14 years of Computer Science, Statistics, and Data Science, Machine Learning experience OR Diploma and 14 to 18 years of years of Computer Science, Statistics, and Data Science, Machine Learning experience Preferred Qualifications: Must-Have Skills: Strong foundation in machine learning algorithms and techniques Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills Good-to-Have Skills: Experience with big data technologies (e.g., Spark), and performance tuning in query and data processing Experience with data engineering and pipeline development Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis Familiar with AWS, Azure, or Google Cloud; Familiar with Databricks platform for data analytics and MLOps Professional Certifications Cloud Computing and Databricks certificate preferred Soft Skills: Excellent analytical and fixing skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills.

Hello, Urgent job openings for Data Science Manager role @ GlobalData(Hyd). Job Description given below please go through to understand the requirement. if requirement is matching to your profile & interested to apply please share your updated resume @ mail id (m.salim@globaldata.com). Mention Subject Line :- Applying for Data Science Manager @ GlobalData(Hyd) Share your details in the mail :- Full Name : Mobile # : Qualification : Company Name : Designation : Total Work Experience Years : Current CTC : Expected CTC : Notice Period : Current Location/willing to relocate to Hyd? : Office Address : 3rd Floor, Jyoti Pinnacle Building, Opp to Prestige IVY League Appt, Kondapur Road, Hyderabad, Telangana-500081. Job Description :- About the Role We are seeking an experienced Data Science Manager to lead our data science team in transforming complex data into actionable business insights. The ideal candidate will combine strong technical expertise with leadership skills to guide a team of data scientists while collaborating with cross-functional stakeholders to drive data-informed decision making throughout the organization. Key Responsibilities Lead and mentor a team of 5-8 data scientists, providing technical guidance and career development Develop and implement the organization's data science strategy and roadmap in alignment with business objectives Oversee the full lifecycle of data science projects from conception to deployment Establish best practices, methodologies and standards for data science processes Drive the development of machine learning models, predictive analytics, and other advanced analytical solutions Collaborate with business leaders to identify opportunities for data-driven improvements Translate complex technical concepts into clear insights for non-technical stakeholders Ensure data quality, integrity, and proper governance in all data science initiatives Stay current with emerging technologies and methodologies in data science and AI Manage project timelines, resources, and budgets to ensure timely delivery of solutions Qualifications Master's degree or PhD in Computer Science, Statistics, Mathematics, or related quantitative field 7+ years of experience in data science or related analytical roles 5+ years of experience managing data science teams and projects Strong programming skills in Python, R, or similar languages Expertise in machine learning algorithms, statistical analysis, and data mining techniques Experience with big data technologies (Hadoop, Spark) and cloud platforms (AWS, Azure, GCP) Proven track record of delivering impactful data science solutions that drive business value Excellent communication and presentation skills with ability to translate technical concepts for business audiences Strong project management and organizational abilities Business acumen with understanding of how data science can drive organizational success Preferred Qualifications Experience in our industry sector Knowledge of data visualization tools (Tableau, Power BI) Familiarity with MLOps and model deployment Experience implementing NLP or computer vision solutions Agile/Scrum certification or experience Thanks & Regards, Salim (Human Resources)

Hi Immediate opening for Data Scientist Lead Location : Ahmedabad ( Onsite only ) Experience : 6 + years Job Description : Key Skills : Advanced degree or Masters degree in machine learning/data science/computer science or a related field Proven experience in developing and deploying machine learning models in a healthcare or RCM setting Strong programming skills in languages like Python or R Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Deep understanding of healthcare data and industry-specific challenges Strong problem-solving and analytical abilities Excellent leadership and team management skills Effective communication and stakeholder management skills Experience in MLOps, containerization, CI/CD pipeline is a plus Role & responsibilities: Engage with business and product teams to identify and flesh out ML use-cases Responsible for identifying needs, ingestion, quality and value evaluation, distillation & analysis of both structured and unstructured data from multiple sources Researching solutions to overcome machine learning challenges Managing and mentoring a team of ML engineers work allocation and planning, problem solving, tactical problem solving and thought leadership Leading development and optimization of machine learning and deep learning models Customizing models and build on top of existing framework to address client specific requirements Creating assets to fast-track solution development Staying informed about latest developments in Data Science / AI field Candidates serving notice / Early Immediate joiners can share updated CV on anand.rawal@agshealth.com

Job Title: Full Stack Developer AI Integration & Prompt Engineering Employment type: Full Time About the Role: Were looking for a talented Full Stack Developer with strong JavaScript skills and hands-on experience integrating AI models like ChatGPT into web applications. If you’re passionate about AI, prompt engineering , and building intelligent, responsive web apps, this is the perfect opportunity. Key Responsibilities Build and maintain web applications using JavaScript frameworks (React.js, Node.js, Vue.js). Integrate AI/ML models and APIs (e.g., OpenAI) into scalable web applications. Design, test, and refine effective prompts to drive accurate and meaningful AI responses. Create smooth and responsive AI-driven user experiences , including chat interfaces. Optimize application performance, ensuring high responsiveness and scalability. Experiment with different prompting strategies to improve AI performance and user interaction. Collaborate closely with AI engineers, UI/UX designers, and backend developers to deliver cohesive features. Stay updated on the latest trends in AI/ML, NLP, and JavaScript frameworks . What We’re Looking For Strong experience with JavaScript, React, Redux, and TypeScript Proven ability to integrate AI APIs (e.g., OpenAI, GPT models) Hands-on experience in prompt engineering and AI model tuning Good understanding of Vector Search and AI application workflows Excellent English communication skills , both verbal and written Familiarity with frontend and backend web development best practices Why Join Us? Be at the forefront of AI innovation in real-world applications Work on exciting projects that merge web technology and artificial intelligence Collaborate with a passionate, forward-thinking team Role & responsibilities

The Role Machine learning and data science are interdisciplinary fields that require a combination of skills in mathematics, statistics, programming, and domain-specific knowledge to extract meaningful insights from data and develop predictive models. Skills Requirements Mandatory Skillset - ML Techniques, any ML Framework, Gen AI COncepts, Azure, Python Secondary Skillset - AWS, or Google Cloud Requirements Work closely with cross-functional teams to understand business requirements and translate them into machine learning solutions. Collect, clean, and pre-process large datasets to prepare them for machine learning models. Develop and implement machine learning algorithms and models for solving specific business problems. Collaborate with data engineers to ensure seamless integration of machine learning models into production systems. Fine-tune models for optimal performance and conduct thorough testing and validation. Stay updated on the latest advancements in machine learning and artificial intelligence and assess their potential impact on our projects. Effectively communicate complex technical concepts and findings to non-technical stakeholders. Monitor and maintain deployed models and update them as needed to adapt to changes in data or business requirements. Adhere to ethical standards and ensure that machine learning solutions comply with relevant regulations. Proficiency in Python with hands-on experience in cloud platforms including GCP, AWS, and Azure; strong skills in API integration.

Key Responsibilities: Design and Development: Design, architect, and deploy AI/GenAI models and solutions using various technologies and frameworks (e.g., TensorFlow, PyTorch, LangChain, Vellum etc) on non-cloud infrastructure. Agentic AI: Lead the development and integration of agentic AI systems, enabling autonomous decision-making and action-taking capabilities in AI solutions. Vector Database: Design and implement vector databases (e.g., Faiss, Annoy, Hnswlib) for efficient similarity search and retrieval in AI applications. Technical Leadership: Provide technical guidance and mentorship to junior team members, ensuring high-quality deliverables and adherence to best practices. Security of LLMs: Design and implement robust security measures to prevent data poisoning, model inversion attacks, and membership inference attacks, including data encryption, access controls, model watermarking, and regular security audits. Client Engagement: Collaborate with clients to understand their AI requirements, develop tailored solutions, and deliver high-quality results. Act as a trusted technical advisor. Model Development: Develop and fine-tune AI/GenAI models for specific use cases, such as natural language processing, computer vision, or predictive analytics. Testing and Validation: Design and oversee thorough testing and validation of AI/GenAI models, including performance evaluation, bias detection, and explainability. Deployment and Maintenance: Lead the deployment of AI/GenAI models in production environments, ensuring seamless integration with existing systems and infrastructure. Knowledge Sharing: Share knowledge and expertise with the team, contributing to the development of best practices and staying up-to-date with industry trends. Lead training sessions for team members. Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to ensure successful project delivery. Requirements: Education: Bachelor/Master's in Computer Science, AI, ML, or related fields. Experience: 8+ years of experience in engineering solutions, with a track record of delivering AI solutions. Technical Skills: Advanced Proficiency in AI/GenAI technologies, including deep learning frameworks, NLP, and computer vision. Experience with vector databases and similarity search algorithms. Experience with security measures for LLMs, including data encryption, access controls, and model watermarking. Programming Skills: Strong programming skills in languages like Python or R Communication: Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal teams. Problem-Solving: Strong problem-solving skills, with the ability to analyse complex problems and develop creative solutions. Nice to have: Experience with containerization (Docker) and orchestration (Kubernetes) Nice to have: Experience with ReactJS for rapid prototyping

Role & responsibilities Design and develop AI-driven features for interactive or intelligent physical products. Implement voice interaction, automation routines, and adaptive control systems. Work on real-time data collection and use AI models to drive decisions or responses. Collaborate with hardware and embedded teams to integrate AI smoothly into product workflows. Optimize performance for edge devices or embedded systems using lightweight models. Ensure reliability, usability, and safety across all AI-enhanced product features Preferred candidate profile Bachelors or Masters degree in Computer Science, Electronics, AI/ML, or related fields. Strong experience in Python and/or C/C++. Familiarity with AI concepts such as NLP, speech recognition, computer vision, and sensor-based automation. Understanding of embedded system principles or IoT communication (e.g., MQTT, BLE) is a plus. Experience working on real-world AI product integration projects.

Role Purpose The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters Do Instrumental in understanding the requirements and design of the product/ software Develop software solutions by studying information needs, studying systems flow, data usage and work processes Investigating problem areas followed by the software development life cycle Facilitate root cause analysis of the system issues and problem statement Identify ideas to improve system performance and impact availability Analyze client requirements and convert requirements to feasible design Collaborate with functional teams or systems analysts who carry out the detailed investigation into software requirements Conferring with project managers to obtain information on software capabilities Perform coding and ensure optimal software/ module development Determine operational feasibility by evaluating analysis, problem definition, requirements, software development and proposed software Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Modifying software to fix errors, adapt it to new hardware, improve its performance, or upgrade interfaces. Analyzing information to recommend and plan the installation of new systems or modifications of an existing system Ensuring that code is error free or has no bugs and test failure Preparing reports on programming project specifications, activities and status Ensure all the codes are raised as per the norm defined for project / program / account with clear description and replication patterns Compile timely, comprehensive and accurate documentation and reports as requested Coordinating with the team on daily project status and progress and documenting it Providing feedback on usability and serviceability, trace the result to quality risk and report it to concerned stakeholders Status Reporting and Customer Focus on an ongoing basis with respect to project and its execution Capturing all the requirements and clarifications from the client for better quality work Taking feedback on the regular basis to ensure smooth and on time delivery Participating in continuing education and training to remain current on best practices, learn new programming languages, and better assist other team members. Consulting with engineering staff to evaluate software-hardware interfaces and develop specifications and performance requirements Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code Documenting very necessary details and reports in a formal way for proper understanding of software from client proposal to implementation Ensure good quality of interaction with customer w.r.t. e-mail content, fault report tracking, voice calls, business etiquette etc Timely Response to customer requests and no instances of complaints either internally or externally Stakeholder Interaction Stakeholder Type Stakeholder Identification Purpose of Interaction Internal Lead Software Developer and Project Manager Regular reporting & updates Software Developers For work coordination and support in providing testing solutions External Clients Provide apt solutions and support as per the requirement Display Lists the competencies required to perform this role effectively: Functional Competencies/ Skill Leveraging Technology Knowledge of current and upcoming technology along with expertise in programming (automation, tools and systems) to build efficiencies and effectiveness in own function/ Client organization Competent Process Excellence - Ability to follow the standards and norms to produce consistent results, provide effective control and reduction of risk Expert Technical knowledge knowledge of various programming languages, tools, quality management standards and processes - Expert Competency Levels Foundation Knowledgeable about the competency requirements. Demonstrates (in parts) frequently with minimal support and guidance. Competent Consistently demonstrates the full range of the competency without guidance. Extends the competency to difficult and unknown situations as well. Expert Applies the competency in all situations and is serves as a guide to others as well. Master Coaches others and builds organizational capability in the competency area. Serves as a key resource for that competency and is recognised within the entire organization. Behavioral Competencies Formulation & Prioritization Innovation Managing Complexity Execution Excellence Passion for Results Deliver / No. / Performance Parameter / Measure - 1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan 2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries Customer experience, completion of assigned certifications for skill upgradation 3. MIS & Reporting 100% on time MIS & report generation Mandatory Skills: Python, GenAI, AWS Preferred Skills: NLP , AI/ML , LLM Architect and implement Al solutions utilizing cutting-edge technologies like LLM, Langchain, and Machine Learning. AIML solution development in Azure using Python Ability to build and finetune the model to improve the performance Create own technology if off-the-shelf technology is not solving the problem. E.g changes to traditional RAG approaches, finetune LLM, create architectures. Use experience and advise leadership and team of data scientists best approaches, architectures for complex ML use cases. Lead from the front, responsible for coding, designing, and ensuring best practices & frameworks are adhered by the team. Create end to end AI systems with responsible AI principles Develop data pipelines using SQL to extract and transform data from Snowflake for Al model training and inference. Possess expertise in Natural Language Processing (NLP) & GenAI to integrate text-based data sources into the Al architecture. Collaborate with data scientists and engineers to ensure seamless integration of Al components into existing systems. Responsible for continuous communication about the team progress to keystakeholder.

Position: Prompt Engineer Location: Ahmedabad Work Model: Work from Office Job Summary: We are looking for a talented Prompt Engineer to develop, optimize, and fine-tune text-based inputs for AI models. The ideal candidate will have strong analytical skills, excellent English communication abilities, and keen listening and comprehension skills to collaborate effectively and deliver high-quality results. As a Prompt Writer & AI Response Evaluator, you will play a key role in shaping the performance of an AI system by crafting high-quality prompts and rating AI-generated responses. Key Responsibilities: Develop and refine text prompts to enhance AI model outputs across various applications. Analyze outcomes and iteratively improve prompts to increase accuracy and relevance. Collaborate with technical teams to understand project requirements and tailor prompts accordingly. Ensure clarity and consistency in prompt design to drive the intended model responses. Conduct A/B testing to evaluate prompt effectiveness and identify areas for improvement. Required Skills: Analytical Skills: Ability to evaluate and optimize prompt performance using critical thinking and problem-solving approaches. English Communication: Proficiency in both written and spoken English for creating clear and effective prompts. Comprehension Abilities: Ability t understand complex instructions, project goals, and user expectations. Listening Skills: Active listening to accurately capture team feedback and project needs, adjusting prompts as necessary. Strong attention to detail and ability to follow specific guidelines for prompt writing and response evaluation. Qualifications: Bachelors degree in any relevant field. Prior experience in NLP, machine learning, or related areas is a plus. What We Offer: Compensation commensurate with experience, competitive base salary plus bonus. A flexible comprehensive benefits package to suit your personal circumstances. A supportive work culture that gives you the freedom to experiment. A co-funded professional development program which aligns with your career growth. Job Types: Full-time, Permanent Pay: 20,000.00 - 35,000.00 per month Reach out for more information; HR Aditya: 9265798226 HR Lara - 8160687842 HR Jinal - 8780627704

Position: Prompt Engineer Location: Ahmedabad Work Model: Work from Office Job Summary: We are looking for a talented Prompt Engineer to develop, optimize, and fine-tune text-based inputs for AI models. The ideal candidate will have strong analytical skills, excellent English communication abilities, and keen listening and comprehension skills to collaborate effectively and deliver high-quality results. As a Prompt Writer & AI Response Evaluator, you will play a key role in shaping the performance of an AI system by crafting high-quality prompts and rating AI-generated responses. Key Responsibilities: Develop and refine text prompts to enhance AI model outputs across various applications. Analyze outcomes and iteratively improve prompts to increase accuracy and relevance. Collaborate with technical teams to understand project requirements and tailor prompts accordingly. Ensure clarity and consistency in prompt design to drive the intended model responses. Conduct A/B testing to evaluate prompt effectiveness and identify areas for improvement. Required Skills: Analytical Skills: Ability to evaluate and optimize prompt performance using critical thinking and problem-solving approaches. English Communication: Proficiency in both written and spoken English for creating clear and effective prompts. Comprehension Abilities: Ability t understand complex instructions, project goals, and user expectations. Listening Skills: Active listening to accurately capture team feedback and project needs, adjusting prompts as necessary. Strong attention to detail and ability to follow specific guidelines for prompt writing and response evaluation. Qualifications: Bachelors degree in any relevant field. Prior experience in NLP, machine learning, or related areas is a plus. What We Offer: Compensation commensurate with experience, competitive base salary plus bonus. A flexible comprehensive benefits package to suit your personal circumstances. A supportive work culture that gives you the freedom to experiment. A co-funded professional development program which aligns with your career growth. Job Types: Full-time, Permanent Pay: 20,000.00 - 35,000.00 per month Reach out for more information; HR Aditya: 9265798226 HR Lara - 8160687842 HR Jinal - 8780627704

Position: Prompt Engineer Location: Ahmedabad Work Model: Work from Office Job Summary: We are looking for a talented Prompt Engineer to develop, optimize, and fine-tune text-based inputs for AI models. The ideal candidate will have strong analytical skills, excellent English communication abilities, and keen listening and comprehension skills to collaborate effectively and deliver high-quality results. As a Prompt Writer & AI Response Evaluator, you will play a key role in shaping the performance of an AI system by crafting high-quality prompts and rating AI-generated responses. Key Responsibilities: Develop and refine text prompts to enhance AI model outputs across various applications. Analyze outcomes and iteratively improve prompts to increase accuracy and relevance. Collaborate with technical teams to understand project requirements and tailor prompts accordingly. Ensure clarity and consistency in prompt design to drive the intended model responses. Conduct A/B testing to evaluate prompt effectiveness and identify areas for improvement. Required Skills: Analytical Skills: Ability to evaluate and optimize prompt performance using critical thinking and problem-solving approaches. English Communication: Proficiency in both written and spoken English for creating clear and effective prompts. Comprehension Abilities: Ability t understand complex instructions, project goals, and user expectations. Listening Skills: Active listening to accurately capture team feedback and project needs, adjusting prompts as necessary. Strong attention to detail and ability to follow specific guidelines for prompt writing and response evaluation. Qualifications: Bachelors degree in any relevant field. Prior experience in NLP, machine learning, or related areas is a plus. What We Offer: Compensation commensurate with experience, competitive base salary plus bonus. A flexible comprehensive benefits package to suit your personal circumstances. A supportive work culture that gives you the freedom to experiment. A co-funded professional development program which aligns with your career growth. Job Types: Full-time, Permanent Pay: 20,000.00 - 35,000.00 per month Reach out for more information; HR Aditya: 9265798226 HR Lara - 8160687842 HR Jinal - 8780627704

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Technical Architect/Senior Technical Architect Exp : 10-25 years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are looking for an experienced Senior Lead Data Scientist / ML Engineer with a strong blend of pre-sales expertise, team leadership , and technical proficiency across classical machine learning, deep learning, and generative AI . You will engage in high-level client discussions, drive technical sales strategies, and lead a team to design and implement cutting-edge ML solutions. This is a strategic role requiring both thought leadership and hands-on technical contributions. Roles & Responsibilities Key Responsibilities Pre-Sales & Client Engagement Collaborate with the sales and business development teams to identify client needs and formulate AI/ML solutions. Present technical concepts, project proposals, and proof-of-concepts (POCs) to prospects and clients. Translate complex client requirements into actionable project scopes, estimates, and technical proposals. Leadership & Team Management Provide direction, mentorship, and performance feedback to a team of data scientists and ML engineers. Establish best practices in solution design, code reviews, model validation, and production deployment. Drive the strategic roadmap for AI initiatives,ensuring alignment with organizational goals and market trends. Classical Machine Learning & Statistical Modeling Apply classical machine learning techniques (e.g.,regression, clustering, decision trees, ensemble methods) to solve diverse business problems. Design and optimize data pipelines, feature engineering processes, and model selection strategies. Ensure robust model evaluation, tuning, and performance monitoring in production environments Deep Learning & Generative AI Develop and maintain deep learning models using frameworks such as TensorFlow or PyTorch for tasks like computer vision, NLP, or recommendation systems. Explore and build solutions leveraging generative AI (GANs, VAEs, or transformer-based architectures) for innovative product features and services. Champion research and experimentation with state-of-the-art AI models, staying ahead of industry advances. Project Delivery & MLOps Lead end-to-end ML project lifecycles, from data exploration and model development to deployment and post-launch maintenance. Implement MLOps best practices (CI/CD,containerization, model versioning) on cloud or on-premise infrastructures. Collaborate with DevOps and engineering teams to integrate ML solutions seamlessly into existing systems. Stakeholder Management & Communication Serve as a key technical advisor to executive leadership, product managers, and client teams. Communicate complex AI/ML findings in clear,actionable terms to both technical and non-technical audiences. Advocate data-driven decision-making and foster a culture of innovation within the organization. Required Qualifications Education & Experience Masters or PhD in Computer Science, Data Science, Engineering, or a related field is preferred. 12+ years of relevant industry experience in data science or ML engineering, with 5+ years in a leadership or management capacity. Technical Expertise Pre-Sales : Demonstrated experience in client-facing roles, solutioning, and proposal development. Classical ML : Skilled in traditional algorithms (regression, classification, clustering, etc.) and statistical methods. Deep Learning : Hands-on expertise with frameworks (e.g., TensorFlow, PyTorch) for CNNs, RNNs, transformer architectures, etc. Generative AI : Practical exposure to GANs, VAEs, or large language models, with a track record of building generative models. MLOps : Familiarity with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS, Azure, GCP). Leadership & Communication Proven ability to mentor and lead data science/ML engineering teams to meet project goals. Exceptional communication skills for presenting to clients, stakeholders, and executive leadership. Experience in agile methodologies and project management, balancing multiple projects simultaneously. Preferred / Bonus Skills Experience in big data ecosystems (Spark, Hadoop) for large-scale data processing. Background in NLP , computer vision , or recommendation systems . Knowledge of DevOps tools (Jenkins, GitLab CI, Terraform) for infrastructure automation. Track record of published research or contributions to open-source AI projects. Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Exp 8-15 yrs in technology product engineering Industry: Banking/NBFC/BFSI Gender-Male only Strong proficiency in BI platforms Deep understanding of cloud platforms Expertise in API development & management In-depth knowledge of AI & NLP technologies

ExperienceRequired: 8-10 years PositionType: Contract WorkMode: Remote,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad, Mumbai, Hyderabad ShiftTiming: Flexible can start between 11 AM to 2 PM IST, end between 8 PM to 11 PM IST 3MustSkills: Gen AI, AWS, SQL Key Responsibilities NLP Expertise: Strong foundation in NLP methods text classification, sentiment detection, entity recognition. RAG Expertise: Proficiency with Retrieval-Augmented Generation (RAG); experience with vector databases (Weaviate, Pinecone). LLM Applications: At least 1 year experience building LLM-based applications using 3rd-party models (OpenAI, Anthropic). Prompt Engineering: Skilled in prompt engineering, crafting function calls, building conversational AI apps. Advanced LLM Techniques: Familiarity with zero-shot, few-shot learning, and fine-tuning. Python Programming: Extensive Python programming expertise to implement complex solutions. GenAI Libraries: Experience with Langchain, HuggingFace. Version Control: Proficient with Git and collaborative workflows. Data Preparation: Manage large structured & unstructured datasets. ML Deployment: Deploy, scale, and monitor ML/LLM models in live environments. Collaboration: Occasional overlap with US Eastern Time for team collaboration. DesiredExperience OpenSourceLLMs: Experience with frameworks like Llama or Mistral. RegulatedSectorExperience: Prior experience with data in regulated sectors (Healthcare, Banking). TechnicalSkillsAndCapabilities APIDevelopment: RESTful API design & development (Python-FastAPI). JavaScriptExpertise: Frontend & backend development using JavaScript + frameworks. Microservices Architecture: Architect scalable microservices-based solutions. GenerativeAILandscape: Deep understanding of RAG, vector embeddings, LLMs, OSS AI tools. CloudPlatforms: AWS / Azure / GCP deep understanding of cloud data services. DatabaseExpertise: SQL & NoSQL database design and optimization. DataStreaming: Kafka / Azure Event Hub / AWS Kinesis experience. AgilePractices: Experience with Agile development, Git, Jenkins, Azure DevOps. CICDPipelines: Ability to build/manage CI/CD pipelines. CommunicationSkills: Strong team collaboration, technical & non-technical stakeholder engagement.

Role & responsibilities Mandatory Skill: Python, AI/ML, NLP Programming Languages: Python is particularly popular due to its extensive libraries for AI and machine learning .Proficiency in any languages such as Python, Java, R, C++, and JavaScript is essential. Machine Learning and Deep Learning: A strong foundation in machine learning algorithms (e.g., linear regression, decision trees) and deep learning techniques (e.g., neural networks) is crucial Natural Language Processing (NLP): Skills in NLP techniques like text classification, sentiment analysis, and language modeling are vital for developing chatbots and virtual assistants Data Analysis and Visualization: Ability to analyze and visualize data using tools like Pandas etc AI Frameworks and Libraries: Familiarity with frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn . Work Location: Chennai/Hyderabad/Pune/Trivandrum/Bangalore Interested candidate share me your updated resume in recruiter.wtr26@walkingtree.in

What you will do In this vital role you will play a key role in successfully leading the engagement model between Amgen's Technology organization and Global Commercial Operations. Collaborate with Business SMEs, Data Engineers and Product Managers to lead business analysis activities, ensuring alignment with engineering and product goals on the Conversational AI product team Become a domain authority in Conversational AI technology capabilities by researching, deploying, and sustaining features built according to Amgens Quality System Lead the voice of the customer assessment to define business processes and product needs Work with Product Managers and customers to define scope and value for new developments Collaborate with Engineering and Product Management to prioritize release scopes and refine the Product backlog Ensure non-functional requirements are included and prioritized in the Product and Release Backlogs Facilitate the breakdown of Epics into Features and Sprint-Sized User Stories and participate in backlog reviews with the development team Clearly express features in User Stories/requirements so all team members and partners understand how they fit into the product backlog Ensure Acceptance Criteria and Definition of Done are well-defined Work closely with UX to align technical requirements, scenarios, and business process maps with User Experience designs Develop and implement effective product demonstrations for internal and external partners Maintain accurate documentation of configurations, processes, and changes Understand end-to-end data pipeline design and dataflow Apply knowledge of data structures to diagnose data issues for resolution by data engineering team Implement and supervise performance of Extract, Transform, and Load (ETL) jobs What we expect of you We are all different, yet we all use our unique contributions to serve patients. We are seeking a highly skilled and experienced Specialist IS Business Analyst with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders with these qualifications. Basic Qualifications: Masters degree with 4 - 6 years of experience in Information Systems Bachelors degree with 6 - 8 years of experience in Information Systems Diploma with 10 - 12 years of experience in Information Systems Experience with writing user requirements and acceptance criteria Affinity to work in a DevOps environment and Agile mind set Ability to work in a team environment, effectively interacting with others Ability to meet deadlines and schedules and be accountable Preferred Qualifications: Must-Have Skills Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologies Experience with Agile software development methodologies (Scrum) Superb communication skills and the ability to work with senior leadership with confidence and clarity Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in managing product features for PI planning and developing product roadmaps and user journeys Good-to-Have Skills: Demonstrated expertise in data and analytics and related technology concepts Understanding of data and analytics software systems strategy, governance, and infrastructure Familiarity with low-code, no-code test automation software Technical thought leadership Able to communicate technical or complex subject matters in business terms Jira Align experience Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Technical Skills: Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets) AWS (similar cloud-based platforms) Experience with design patterns, data structures, test-driven development Knowledge of NLP techniques for text analysis and sentiment analysis

10+yrs in software developmnt,3+ with GenAI or NLP Python (FastAPI, asyncio)strong with Hugging Face, OpenAI APIs, LangChain vector databases (e.g.Pinecone, Weaviate) & MLflow Strong judgment in using GenAI tools like ChatGPT and Copilot productively

At (TekLink HGS Digital), our vision is to be the globally preferred digital transformation partner for our clients, creating value in their business through rigorous innovation at scale. We are an expert team of 500+ leading strategic thinkers, digital marketing and creative masters, data analysts, software engineers, and process optimization specialists with an elemental desire to create transformative digital solutions. Job Title: Data Scientist Location: Hyderabad, India Duration: Full time . Data scientist would support our internal teams and clients in driving strategic decisions, applying advanced statistical & predictive analytics and machine learning concepts to solve business problems in BFSI and CPG domains. You will also phrase requirements document, contribute towards project plan, carry out data research and collection, study attributes and features, test for parameters, resolve data issues, decide on models, modeling, QA/testing and showcase the findings in various formats for client consumption. Responsibilities: a) Analytics Requirements Definition: Works with business users to approve the requirements for analytics solution. b) Data Preparation: Reviews data preparation rules (data extraction, data integration, data granularity, data cleansing etc.). Prepares data for analytical modelling. Guides data analysts and associate data scientists on data preparation activities. c) Builds Machine Learning (ML) and Statistical Models using Python/R/Scala/SAS/SPSS d) Collaborate with clients and internal teams to define industry-leading analytics solutions for a wide variety of industries and business groups e) Develop proof-of-concepts and demos needed for client & internal presentations f) Create clear functional and technical documentation g) Work agnostic across multiple industry sectors and functional domains, with focus on BFSI and CPG domains. h) Work closely with all stakeholders to identify, evaluate, design, and implement statistical and other quantitative approaches for modeling enterprise scale data and big data i) Display proficiency in converting algorithmic proof of concepts into business requirement documents for product development or data driven actionable intelligence Minimum Requirements & Qualification The ideal candidate should have: Full time Degree in Mathematics, Statistics, Computer Science or Computer Applications from reputed institutions, B.E./B.Tech., MBA specialized in Marketing, Operations Research, Data Science and/or Business Analytics Overall 8+ years of technical experience in IT industry across BFSI and CPG domains. Minimum of 5 years of hands-on work experience in Data Science/Advance analytics, Machine Learning using Python and SQL Practical experience specifically around quantitative and analytical skills is required. People management skills and experience, and familiarity with the pharmaceutical industry are preferred. Knowledge of solution design, planning, and execution Contribute to case studies, blogs, eBooks, and whitepapers Proficiency in maintaining strong project documentation hygiene Able to fully assimilate into automated MLOps mode Must have good communication skills written, oral, ppt and language skills Able to translate statistical findings to business English Hands on experience in one or more of the skillsets below: Programming Language: R Programming, Base SAS, Advanced SAS Visualization Tool: Tableau, MS Excel, think-cell, Power BI, Qlik Sense Automation Tool: VBA Macro, Python scripts Basic understanding of NLP/NLU/NLG and text mining Skills/knowledge of advanced ML techniques with image processing and signal processing is a plus GenAI and multimodal GenAI skills with RAG development and fine tuning Sounds statistical training in linear and non-linear regression, weighted regression, clustering, and classification techniques Sound understanding of applied statistical methods including survival analysis, categorical data analysis, time series analysis and multivariate statistics Introduction to classical statistical including concepts in Bayesian statistics, experimental design and inference theory Practical understanding of concepts in computer vision, data mining, machine learning, information retrieval, pattern recognition and knowledge discovery Additional knowledge in WFM, biological learning systems and modern statistical concepts is a plus Knowledge of IoT devices and solutions with multi-sensor data fusion is a plus Knowledge of Geostatistics, information theory, computational statistics is a plus Experience in character recognition with image, speech, and video analytics capabilities is a plus Working knowledge of or certifications in AWS/Azure/GCP is beneficial

10+yrs in software developmnt,3+ with GenAI or NLP Python (FastAPI, asyncio)strong with Hugging Face, OpenAI APIs, LangChain vector databases (e.g.Pinecone, Weaviate) & MLflow Strong judgment in using GenAI tools like ChatGPT and Copilot productively