6965 Tensorflow Jobs - Page 21

This internship provides a unique opportunity to work alongside experienced professionals, contributing to real-world projects that impact our company's success. Job Responsibilities: Collect, clean, and pre-process data for machine learning purposes. Work with diverse datasets to ensure their quality and relevance to the project. Assist in developing and implementing machine learning models. Collaborate with the AI/ML team to enhance model performance and accuracy. Experiment with different algorithms to optimize results. Conduct thorough evaluations of machine learning models. Perform testing to validate the effectiveness of developed models. Document code, methodologies, and experimental results. Create comprehensive documentation for models and algorithms developed during the internship. Develop technical content for AI/ML domain for edtech clients. Work closely with cross-functional teams to understand project requirements. Collaborate with senior AI/ML engineers and researchers to contribute effectively to ongoing projects. Stay updated on the latest trends and advancements in AI/ML. Engage in continuous learning and skill development to enhance technical expertise. Qualifications: Recently completed a bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. Solid understanding of machine learning concepts and algorithms. Proficient in at least one programming language such as Python, Java, or C++. Familiarity with popular machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus. Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Internship Duration- 6 months Stipend- Rs.10,000 per month Working hours- 09:30 AM to 05:30 PM Working days- Monday to Friday Location- Sector 62, Noida Work Mode- On-site Job Types: Full-time, Internship Contract length: 6 months Pay: ₹10,000.00 per month Education: Bachelor's (Preferred) Work Location: In person

Job Description: We are looking for a highly skilled AI/ML Engineer who can design, implement, and optimize machine learning solutions, including traditional models, deep learning architectures, and generative AI systems. The ideal candidate will have strong hands-on experience with MLOps, data pipelines, and LLM optimization. You will collaborate with data engineers and cross-functional teams to develop scalable, ethical, and high-performance AI/ML solutions that drive business impact. Requirements: Key Responsibilities: Develop, implement, and optimize AI/ML models using both traditional machine learning and deep learning techniques. Design and deploy generative AI models for innovative business applications. Collaborate with data engineers to build and maintain high-quality data pipelines and preprocessing workflows. Integrate responsible AI practices to ensure ethical, explainable, and unbiased model behavior. Develop and maintain MLOps workflows to streamline training, deployment, monitoring, and continuous integration of ML models. Optimize large language models (LLMs) for efficient inference, memory usage, and performance. Work closely with product managers, data scientists, and engineering teams to integrate AI/ML into core business processes. Conduct rigorous testing, validation, and benchmarking of models to ensure accuracy, reliability, and robustness. Stay abreast of the latest research and advancements in AI/ML, LLMs, MLOps, and generative models. Required Skills & Qualifications: Strong foundation in machine learning, deep learning, and statistical modeling techniques. Hands-on experience with TensorFlow, PyTorch, scikit-learn, or similar ML frameworks. Proficient in Python and ML engineering tools such as MLflow, Kubeflow, or SageMaker. Experience deploying generative AI solutions, including text, image, or audio generation. Understanding of responsible AI concepts, including fairness, accountability, and transparency in model building. Solid experience with MLOps pipelines and continuous delivery of ML models. Proficiency in optimizing transformer models or LLMs for production workloads. Familiarity with cloud services (AWS, GCP, Azure) and containerized deployments (Docker, Kubernetes). Excellent problem-solving and communication skills. Ability to work collaboratively with cross-functional teams. Preferred Qualifications: Experience with data versioning tools like DVC or LakeFS. Exposure to vector databases and retrieval-augmented generation (RAG) pipelines. Knowledge of prompt engineering, fine-tuning, and quantization techniques for LLMs. Familiarity with Agile workflows and sprint-based delivery. Contributions to open-source AI/ML projects or published papers in conferences/journals. About Company / Benefits: Lucent Innovation is a company 8 years old, India's premier IT solutions provider company that offers web & web application development services to global clients. We are Shopify Expert and Shopify Plus Partner, have its office registered in India. Lucent Innovation has a highly skilled team of IT professionals. We ensure that our employees have a work-life balance. In order to achieve the same, We work 5 days working, no night shift and employees are encouraged to report to the office on time and leave on time. The company organizes several indoor/outdoor activities throughout the year. Besides these, the company organizes trips for employees. Celebrations are an integral part of our work culture. We celebrate all major festivals like Diwali, Holi, Lohri, Christmas day, Navratra (Dandia), Makar Sankranti etc. We also enjoy several other important occasions like New Year, Independence Day, Republic Day, Women's Day, Mother's day, etc. Perks: - 5days working Flexible working hours No hidden policy Friendly working Environment In-house training Quarterly and Yearly rewards & Appreciation

Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. This role is based in Noida. But you’ll also get to visit other locations in India and globe, so you’ll need to go where this job takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries, and the shape of things to come. We make real what matters! Key Responsibilities: In this role, you will: Design and develop AI-powered agents using LLMs, LangChain, vector databases, and retrieval-augmented generation (RAG). Build intelligent systems that understand natural language queries and automate complex workflows. Integrate and experiment with ML pipelines, data-driven decision-making, and reinforcement learning for adaptive systems. Prototype and productize tools that leverage code understanding, profiling, and data analysis. Collaborate closely with AI researchers, UX designers, and backend teams to translate ideas into working products and robust features. Work on prompt engineering, few-shot learning, and tool use orchestration What We’re Looking For: Must-Have: Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn). Strong working knowledge of LangChain, RAG pipelines, and vector stores. Strong understanding and experience in application of Deep Learning models like ANNs and transformers. Experience in developing AI agents or copilots that interface with tools or external APIs. Proficiency in Python; familiarity with software design patterns and clean code. Practical experience in data preprocessing, feature engineering, and model evaluation. Familiarity with LLMs (OpenAI, LLaMA, Claude, etc.) and prompt engineering best practices. Ability to identify AI use-cases, conceptualize solutions, and drive from prototype to production. Strong proficiency in programming languages like C/C++ and Python, along with strong foundations in algorithms and data structures. Good to Have: Background or interest in Digital Design, SystemVerilog, or EDA tools (can be learned on the job). Basic knowledge of compilers, parallelism, or profiling tools is a bonus. Why Join Us? Work on cutting-edge AI R&D projects with real product impact! Be part of a startup-like team within a global tech company. Opportunity to lead innovation, publish internally, and drive industry-first solutions. Competitive compensation, flexibility, and a collaborative culture. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, variable pay, other benefits, pension, healthcare and actively support working from home. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Transform the everyday #DVT

Position: Senior Data Scientist Location: Thane West, Mumbai Experience: 5 to 12 Years CTC: Up to ₹22 LPA About the Role: We are looking for a passionate and highly skilled Senior Data Scientist / Machine Learning Specialist to join our dynamic team. This individual will play a key role in designing, building, and deploying innovative machine learning systems and contributing to product development initiatives across cloud and edge computing environments. Key Responsibilities: Analyze and solve complex problems by proposing, designing, and delivering scalable technical solutions. Study and transform data science prototypes into production-ready systems. Design and develop machine learning applications and systems. Research and implement suitable ML algorithms and tools. Select appropriate datasets and data representation techniques. Conduct ML tests, experiments, and statistical analysis to refine model performance. Train and retrain systems as needed. Extend and customize existing ML libraries and frameworks for specific use cases. Collaborate closely with cross-functional teams for product development initiatives, including work on distributed systems, fault-tolerant architecture, containerization, etc. Required Technical Skills: Strong programming skills (Python preferred). Solid understanding of Data Structures and Algorithms. Proficiency in R, TensorFlow, SciPy, and ML frameworks such as Keras, PyTorch, or scikit-learn. Experience with Generative AI (GenAI) implementation in at least one project. Working knowledge of LLM tools and techniques. Expertise in Cloud Services: AWS, GCP, or Azure. In-depth knowledge of machine learning concepts, statistics, probability, and applied mathematics. Familiarity with full-stack development concepts is a plus. Experience with one or more DBMS platforms. Excellent analytical and problem-solving skills. Strong communication skills and the ability to work well in a team. Who Should Apply: Candidates with notice periods of 15 days or less only (strict requirement). Local candidates preferred — must be located between Dadar and Vashi. Let’s Connect! Send your updated resume to: sayaji@expediteinformatics.com Call us at: +91 96655 66357

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Azure ML and Python Dev- Senior 1/2 EY GDS Consulting digital engineering, is seeking experienced Azure ML and Python Developer. Your responsibilities will include designing and implementing data pre-processing, feature engineering, and model training pipelines, collaborating closely with data scientists, and ensuring model performance and reliability in production environments. Proficiency in Azure ML services, Python programming, and a strong background in machine learning are key requirements for this role. The opportunity We are seeking a seasoned Azure ML and Python Developer with 6-8 years of experience to join our innovative team. This role presents an exciting opportunity for individuals with a strong background in machine learning and cloud computing to lead and contribute to cutting-edge projects on the Azure platform. Your Key Responsibilities Develop and deploy machine learning models on Azure cloud platform using Python programming language and Azure ML services. Design and implement scalable and efficient data pipelines for model training and inference. Collaborate with data scientists and business stakeholders to understand requirements and translate them into technical solutions. Implement best practices for ML development, including version control, testing, and documentation. Develop and maintain APIs on Azure cloud platform for model deployment and integration with applications. Monitor and optimize model performance, ensuring scalability, reliability, and security. Participate in code reviews, troubleshooting, and optimization to improve performance and maintainability. Stay updated with industry trends and best practices in machine learning, cloud computing, and API development. Mentor junior team members, sharing expertise and guiding them in technical challenges. Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to deliver end-to-end solutions. Conduct regular evaluations and assessments of ML models and APIs, identifying areas for improvement and optimization. Lead and contribute to innovation initiatives, exploring new technologies and approaches to enhance our ML and cloud capabilities. Soft Skills Bachelor's degree in computer science, data science, or related field. 6-8 years of experience in machine learning, data engineering, and cloud computing, with a strong focus on Azure services. Proficiency in Python programming language for ML model development and deployment. Experience with Azure ML services, Azure data services (e.g., Azure Data Lake, Azure SQL Database), and Azure cloud infrastructure. Strong understanding of machine learning concepts, algorithms, and techniques, including supervised and unsupervised learning, deep learning, and natural language processing. Expertise in designing and implementing data pipelines for ML model training and inference, using tools like Azure Databricks, Azure Data Factory, and Azure Synapse Analytics. Familiarity with cloud-native technologies, containerization (e.g., Docker, Kubernetes), and DevOps practices for ML model deployment and automation. Experience with version control systems (e.g., Git/GitHub), CI/CD pipelines, and software engineering best practices for ML projects. Strong analytical and problem-solving skills, with the ability to analyze complex data sets, identify patterns, and derive meaningful insights. Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders. Proactive mindset, self-driven, and eager to learn new technologies and methodologies in the ML and cloud computing space. Ability to work in a fast-paced environment, manage multiple priorities, and deliver high-quality results under tight deadlines. To qualify for the role, you must have A bachelor's or master's degree in computer science, data science, or related field. 6-8 years of hands-on experience in machine learning, cloud computing, and API development, with a focus on Azure services. Proficiency in Python programming language for ML model development and deployment, along with experience using Azure ML services and Azure cloud infrastructure. Strong communication skills, both verbal and written, with the ability to articulate technical concepts effectively to diverse audiences. Proven track record of successfully delivering ML projects, designing scalable data pipelines, and collaborating in cross-functional teams. Certifications such as Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure Data Scientist Associate, or equivalent, are highly desirable. Experience with other cloud platforms (e.g., AWS, Google Cloud Platform) and additional programming languages (e.g., R, Java) is a plus. Ideally, you’ll also have Analytical ability to manage multiple ML projects simultaneously, prioritize tasks effectively, and make data-driven decisions. Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills and initiative. Familiarity with advanced ML techniques and frameworks (e.g., TensorFlow, PyTorch) for deep learning and computer vision applications. Knowledge of cloud security principles, data governance, and regulatory compliance frameworks relevant to ML and cloud environments. Experience with Big Data technologies (e.g., Apache Spark, Hadoop) for processing large-scale datasets and building ML models at scale. What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Who are we? At Finastra, we are a dynamic global provider of open finance software solutions, dedicated to expanding access to financial services. Our innovative applications span Lending, Payments, Treasury and Capital Markets, and Universal Banking. Proudly serving over 8,000 customers, including 45 of the world's top 50 banks, we aim to boost financial inclusion for all. Join us and be part of a vibrant company that embraces diverse perspectives, and is committed to doing well by doing good. What will you contribute? As part of the Payment Services Strategy & Architecture team , the AI engineer designs, develops, analyzes, and maintains high-quality software product applications. This position is located in Pune office. Responsibilities & Deliverables Your deliverables as a AI Engineer will include, but are not limited to, the following: Participates in software design meetings and analyzes user needs to determine technical requirements. Designs and develops high-quality AI solutions Tests, debugs, analyzes and fixes application problems/issues. Works closely with stakeholders to fix issues in a timely fashion. Follows the software development lifecycle process. Interacts with internal stakeholders to support product releases and/or resolve program problems. Other duties and projects as assigned. Required Experience software development experience including design and development. Expertise in Python and relevant ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers. Familiarity with JSON, RESTful APIs, HTML, CSS, SQL preferred. Strong understanding of NLP techniques, including transformer architectures. Hands-on experience fine-tuning private LLMs (e.g., LLaMA, Gemma) Experience in RAG techniques, knowledge retrieval systems, and integrating LLMs with external data sources. Experience with cloud services for model deployment and scaling Financial industry experience preferred. Proficiency with Microsoft Office applications. Knowledge of software development methodologies and the software development lifecycle. Ability to provide solutions to a variety of technical problems of moderate scope and complexity independently. Strong technical, analytical, and development skills. Effective verbal and written communication skills; effective customer service skills. Ability to work independently or within a team environment and handle multiple projects simultaneously. Benefits We are proud to offer a range of incentives to our employees worldwide. These benefits are available to everyone, regardless of grade, and reflect the values we uphold: Flexibility: Enjoy unlimited vacation, based on your location and business priorities. Hybrid working arrangements, and inclusive policies such as paid time off for voting, bereavement, and sick leave. Well-being: Access confidential one-on-one therapy through our Employee Assistance Program, unlimited personalized coaching via our coaching app, and access to our Gather Groups for emotional and mental support. Medical, life & disability insurance, retirement plan, lifestyle and other benefits* ESG: Benefit from paid time off for volunteering and donation matching. DEI: Participate in multiple DE&I groups for open involvement (e.g., Count Me In, Culture@Finastra, Proud@Finastra, Disabilities@Finastra, Women@Finastra). Career Development: Access online learning and accredited courses through our Skills & Career Navigator tool. Recognition: Be part of our global recognition program, Finastra Celebrates, and contribute to regular employee surveys to help shape Finastra and foster a culture where everyone is engaged and empowered to perform at their best. Specific benefits may vary by location. At Finastra, each individual is unique, bringing their own ideas, thoughts, cultural beliefs, backgrounds, and experiences together. We learn from one another, embrace and celebrate our differences, and create an environment where everyone feels safe to be themselves. Be unique, be exceptional, and help us make a difference at Finastra!

About the Role: We are looking for a passionate and results-driven Data Scientist with 2–3 years of experience to join our data science team. This role involves building robust machine learning and deep learning models for high-impact financial use cases such as fraud detection, risk scoring, personalization, and automation. You should have strong Python programming skills, hands-on experience with end-to-end ML/DL model development, MLOps deployment, Experience building and exposing APIs for model interaction and integration with production systems is essential. Key Responsibilities: •Design, develop, and deploy ML/DL models for FinTech use cases (e.g., fraud detection, customer risk classification, churn prediction). •Handle and process large, highly imbalanced datasets using advanced resampling, cost-sensitive learning, or anomaly detection techniques. •Implement and automate MLOps pipelines for training, testing, monitoring, and deploying models to production (e.g., using MLflow or Kubeflow). •Build APIs and backend interfaces for seamless model consumption in production applications. •Collaborate closely with Data Engineers, Product Managers, and Frontend Developers to operationalize ML solutions. •Document model assumptions, performance metrics, and testing methodology for audit and compliance readiness. •Contribute to continuous model monitoring and re-training pipelines to ensure production accuracy and relevance. •Stay current on emerging ML and GenAI techniques (exposure to GenAI is a plus but not mandatory). Key Requirements: •2–3 years of hands-on experience in data science/machine learning/Deep Learning developer role. •Domain experience in FinTech, payments, or financial services (mandatory). •Proficiency in Python and popular ML/DL libraries: scikit-learn, XGBoost, TensorFlow, PyTorch. •Experience with model deployment, Docker, FastAPI/Flask, and building APIs. •Experience with MLOps tools (e.g., MLflow, DVC). •Strong knowledge of data preprocessing, feature engineering, and model evaluation •Familiarity with version control (Git), CI/CD workflows, and agile practices. •Strong communication and documentation skills.

Role & responsibilities : you'll craft innovative ML solutions ready for both showcase and deployment in real-world scenarios. By staying engaged in research on the latest developments in the field and working with internal and external stakeholders, you will deliver statistically driven outcomes using best-in-class engineering practices to improve standards of care while guiding and mentoring more junior data scientists. Join us in this dynamic role and be at the forefront of technological innovation. Preferred candidate profile Must have: Good communication skills 1. Need 5 Years hands on experience in Data Science 2. Need 3 Years experience in exploratory data analysis and visualization methods, classification and regression algorithms,statistical analysis and modelling 3. Experience with programming language is must and Python is preferred. 4. Need 2 year experience in healthcare or Finance or Banking and a matrixed organization 5. Need 2 years experience with any one ML frameworks such as Scikit-Learn, Tensorflow, or Keras or similar 6. 1 Year experience in mentoring junior members of the team 7. 3 years experience with numeric, imaging, and textual data wrangling and visualization 8. 2 years experience with cloud platforms and ML services 9. 1 year experience in GenAI and training LLMs 10. Experience in operational research paper 1. Key asks for the role: Experience in Data Science to work on given problem statement Data science is not static; it requires continuous learning and adaptation to new algorithms, approaches, and technological advancements He should be a proactive learner, strategic thinker, and collaborative team player who can effectively leverage new technologies and approaches to drive value for the organization. For IC4 level, expectation from Leadership experience is who demonstrates a combination of independence, 1 year in mentoring abilities, potential for future leadership, strong communication skills, effective task management, and collaborative spirit. He should be technical expert not a people management person. Hands on experience with programming language with clear OOPS concepts. Since we are looking for hands on experience with cloud platforms, any cloud experience is ok- GCP,Azure, AWS Need a candidate with domain expertise because along with strong analytical and technical skills he should understand the specific nuances and challenges of the industry they will be working in Would prefer candidates with a PhD and research experience; however, since there are 9 open positions, we are open to balancing the requirement by including a few hires without this background. Warm Regards, Abhishek Lahane Senior HR Executive ________________________________________________________ Peoplefy PUNE | MUMBAI | DELHI | HYD | BLR Email: abhishek.la@peoplefy.com Linkedin: linkedin.com/in/abhishek2741 http://www.peoplefy.com

Job Title: Machine Learning Intern Company: Optimspace.in Location: Remote Duration: 3 months Opportunity: Full-time based on performance, with Certificate of Internship. About Optimspace.in Optimspace.in provides students and graduates with hands-on learning opportunities and career growth in Machine Learning and Data Science. Role Overview As a Machine Learning Intern, you will work on real-world projects, enhancing your practical skills in data analysis and model development. Responsibilities Design, test, and optimize machine learning models. Analyze and preprocess datasets. Develop algorithms and predictive models. Use tools like TensorFlow, PyTorch, and Scikit-learn. Document findings and create reports. Requirements Enrolled in or a graduate of a relevant program (Computer Science, AI, Data Science, or related field). Knowledge of machine learning concepts and algorithms. Proficiency in Python or R (preferred). Strong analytical and teamwork skills. Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid). Hands-on machine learning experience. Internship Certificate & Letter of Recommendation. Real-world project contributions for your portfolio. How to Apply 📩 Submit your application with "Machine Learning Intern Application" as the subject. 📅 Deadline: 11th July 2025 Note: Optimspace.in is an equal opportunity employer, welcoming diverse applicants.

About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, Energy Exemplar’s mission lies in ‘Empowering Transformative Energy Decisions’. Founded in 1999 in Adelaide, Australia, our award-winning software portfolio encompassing the modeling and simulation platform PLEXOS®, Aurora, and Adapt2, is trusted by innovative organizations across the globe. Through our technology and people, we strive to enable stakeholders from across the entire energy value chain to revolutionize the energy ecosystem and to collaboratively plan and execute for a sustainable energy future with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry. Some of our recent accolades include: SaaS Company of the Year (2025) – Global Business Tech Awards. Environmental Impact Award (2025) – E+E Leaders Awards. IPPAI (Independent Power Producers Association of India) Power Awards (2025) - Winners Finalist: Platts Global Energy Awards (2024) – Grid Edge category Finalist: Reuters Global Energy Transition Awards (2024) – Technologies of Change Top 50 Marketing Team (2024) – Voted by the public at the ICON Awards. How We Work Energy Exemplar is growing fast around 30% year on year and, that growth is driven by how we work. We trust our team to deliver great results from wherever they work best, whether that’s at home, in the office, or on the move. We’re a global team that values ownership, integrity, and innovation. You’ll be supported to balance work and life in a way that works for you, and empowered to take initiative, solve problems, and make an impact, regardless of your background, location, or role. Our four core values, Customer Success, One Global Team, Integrity & Ownership, and Innovation Excellence aren’t just words. They show up in how we collaborate, how we solve, and how we grow together. We're seeking a talented Generative AI Developer to join our Engineering team. In this role, you'll design, develop, and implement generative AI solutions to solve complex business problems. You'll collaborate with cross-functional teams to transform cutting-edge AI technologies into practical, scalable applications. Key Responsibilities Design and develop generative AI applications using large language models (LLMs), diffusion models, and other generative AI technologies Collaborate with data scientists, engineers, and business stakeholders to identify use cases and implement AI solutions Fine-tune and optimize models for specific client requirements and use cases Implement robust evaluation frameworks to assess model performance and mitigate potential risks Create prototypes and proof-of-concepts to demonstrate capabilities and gather feedback Develop and maintain technical documentation for AI systems Stay current with the latest advancements in generative AI technologies and methodologies Required Qualifications Bachelor's degree in Computer Science, AI, Machine Learning, or a related technical field 8+ years of relevant experience Strong programming skills in Python and familiarity with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face) Experience implementing LLM-based applications and understanding of prompt engineering Knowledge of generative AI concepts, including text generation, image generation, and multimodal systems Experience with API development and integration Strong problem-solving skills and ability to debug complex systems Preferred Qualifications Master's or PhD in AI, ML, or related field Experience with model fine-tuning, RLHF, and alignment techniques Knowledge of RAG (Retrieval-Augmented Generation) architectures Experience with vector databases and embedding models Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services Understanding of enterprise AI governance, security, and compliance requirements If you're passionate about applying generative AI to transform Energy Sector and want to contribute to development of more efficient and sustainable energy system and want to be at the forefront of this rapidly evolving field, we'd love to hear from you. Energy Exemplar is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. We welcome applications from people of all backgrounds, experiences, identities, and abilities. Please let us know if you require accommodations at any stage of the recruitment process—we're here to support you in showcasing your full potential. Energy Exemplar respects your privacy and is committed to protecting the personal data you share during the recruitment process. This Candidate Privacy Notice explains how we collect, use, and protect your personal information when you apply for a role with us.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation. In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation. Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made – and your lifecycle management expertise will ensure our data remains fresh and impactful. So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Expertise Minimum 5+ years of Data consulting experience with a proven track record of building and maintaining client relationships Have experience in cloud services of AWS / GCP / Azure to deploy AI products Ability to develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit Good understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.) Good knowledge of AI frameworks, tools, and platform such as TensorFlow, PyTorch Knowledge of GenAI libraries and tool sets included HuggingFace, LangChain, RAGAS and more Ability to collaborate with customers and account partners to identify new cloud opportunities, and build proposals and pitch materials to position Kyndryl as a trusted partner for AI & Data transformation Preferred Technical and Professional Expertise Bachelor's degree in computer science, Information Security, or a related field Skilled in planning, organization, analytics, and problem-solving. Excellent communication and interpersonal skills to work collaboratively with clients and team members. Comfortable working with statistics. Advanced skills in PowerPoint and Excel. Strong Business acumen and understanding of industry trends and challenges in AI and Generative AI . Strong leadership skills and proactive and self-driven attitude. Advanced communication and storytelling skills. Highly adaptable and flexible through shifting priorities. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Expertise Minimum 5+ years of AI and Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships Collaborate with customers and account partners to identify new AI opportunities, and build proposals and pitch materials to position Kyndryl as a trusted partner for AI & Data transformation Experience in organizing and lead educational and ideation AI and Generative AI workshops for customers Evaluate and recommend appropriate AI frameworks, tools and platforms To Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit Have experience in cloud services of AWS / GCP / Azure to deploy AI products In-depth understanding of AI technologies, including machine learning, deep learning, and generative AI techniques (such as generative adversial networks (GANs), variational autoencoders (VAEs), etc.) Good knowledge of AI frameworks, tools, and platform such as TensorFlow, PyTorch Affinity of GenAI libraries and tool sets included HuggingFace, LangChain, RAGAS and more Preferred Technical and Professional Expertise Bachelor's degree in computer science, Information Security, or a related field Skilled in planning, organization, analytics, and problem-solving. Excellent communication and interpersonal skills to work collaboratively with clients and team members. Comfortable working with statistics. Advanced skills in PowerPoint and Excel. Strong Business acumen and understanding of industry trends and challenges in AI and Generative AI . Strong leadership skills and proactive and self-driven attitude. Advanced communication and storytelling skills. Highly adaptable and flexible through shifting priorities. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the design and implementation of AI-driven applications, ensuring they are scalable and maintainable. - Mentor junior team members, fostering a culture of learning and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to work with data preprocessing and feature engineering for model training. -Strong programming skills in Python, RAG, Prompt Engineering, RAI, OpenAI APIs, Lang Chain, expert working knowledge on OpenAI / Gemini models, Agentic framework, Code Conversion experience for reverse and forward engineering Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Chennai office. - A 15 years full time education is required.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Machine Learning Operations Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready application pipelines, ensuring high-quality standards are met. You will also explore the integration of generative AI models into solutions, while working with various technologies such as deep learning, neural networks, chatbots, and image processing. Collaboration with cross-functional teams will be essential to ensure the successful deployment of AI-driven solutions. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve existing processes to enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning Operations. - Strong understanding of cloud-based AI services and deployment strategies. - Experience with deep learning frameworks such as TensorFlow or PyTorch. - Familiarity with data preprocessing and feature engineering techniques. - Knowledge of version control systems, particularly Git. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning Operations. - This position is based at our Chennai office. - A 15 years full time education is required.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Lead the design and implementation of AI-driven applications, ensuring they are scalable and maintainable. - Mentor junior team members, fostering a culture of learning and innovation. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models. - Strong understanding of deep learning frameworks such as TensorFlow or PyTorch. - Experience with cloud platforms and services, particularly in deploying AI solutions. - Familiarity with natural language processing techniques and tools. - Ability to work with data preprocessing and feature engineering for model training. -Strong programming skills in Python, RAG, Prompt Engineering, RAI, OpenAI APIs, Lang Chain, expert working knowledge on OpenAI / Gemini models, Agentic framework, Code Conversion experience for reverse and forward engineering Additional Information: - The candidate should have minimum 7.5 years of experience in Large Language Models. - This position is based in Chennai. - A 15 years full time education is required.

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Job Reference: Role Summary The senior AI/ML R&D Engineer is responsible for leading the design, implementation, and optimization of scalable machine learning infrastructure. This role ensures that AI/ML models are efficiently deployed, managed, and monitored in production environments while providing mentorship and technical leadership to junior engineers. Key Responsibilities: Architectural Leadership: Lead the design and development of scalable, secure, and efficient AI/ML platform architecture, ensuring robust and reliable infrastructure. Automation & Deployment: Develop and implement advanced automation pipelines for model deployment, monitoring, and rollback, enhancing operational efficiency. Cross-Functional Collaboration: Collaborate with cross-functional teams, including data scientists and product managers, to define platform requirements and support seamless model integration. Performance Optimization: Drive performance tuning, load balancing, and cost optimization strategies to ensure the platform's efficiency and scalability. Mentorship & Leadership: Mentor junior platform engineers, providing technical guidance and fostering a culture of best practices and continuous learning. Incident Management: Conduct post-mortems and root cause analysis for system failures and performance issues, implementing corrective actions to prevent recurrence. Qualifications Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Experience: 5+ years of experience in Python & Node.js engineering, with a proven track record in leading and executing complex projects. Technical Expertise: · Expertise in cloud-based solutions (e.g., AWS, GCP, Azure), distributed systems, and microservices architecture. · Proficiency in Terraform, Docker, and advanced automation tools. · Proficiency in python and node.js. · Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch) and MLOps practices. Problem-Solving Skills: Excellent problem-solving skills with a proactive approach to identifying and addressing technical challenges. Leadership Skills: Strong leadership and mentoring skills, with the ability to guide and inspire engineering teams. Communication Skills: Exceptional communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.

Key Responsibilities Lead technical design, develop, and deploy machine learning models and systems with a focus on product integration Collaborate with product teams to translate business requirements into technical solutions Build and optimize ML pipelines for training, evaluation, and deployment Implement best practices for model monitoring, maintenance, and improvement Work with generative AI technologies to create novel product features Mentor junior team members on ML best practices and engineering principles Required Qualifications 6+ years of experience building and deploying ML systems in production environments Strong foundation in machine learning algorithms, frameworks, and techniques Experience with at least one deep learning framework (PyTorch, TensorFlow, etc.) Proficiency in Python and related ML/data libraries (scikit-learn, pandas, numpy) Demonstrated experience integrating ML capabilities into user-facing products Understanding of ML operations, including model serving, monitoring, and maintenance Background in MLOps practices and tools (feature stores, experiment tracking, model registry) Experience with generative AI concepts, including large language models, diffusion models, or other generative architectures Preferred Qualifications Experience with prompt engineering and fine-tuning large language models Knowledge of vector databases and retrieval-augmented generation Experience with cloud platforms (AWS, GCP, Azure) for ML workloads Familiarity with container orchestration technologies (Kubernetes, Docker) Track record of launching ML-powered products that drove measurable business impact Technical Skills Core Technologies Python PyTorch, Tensorflow Scikit-learn, pandas, numpy Azure Cloud Generative AI Frameworks API frameworks (FAST, Flask, etc.,) Nice to Have AWS Cloud GCP Cloud Docker/Kubernetes CI/CD Pipelines

This is a key position supporting client organization with strong Analytics and data science capabilities. There is significant revenue and future opportunities associated with this role. Job Description: Develop and maintain data tables (management, extraction, harmonizing etc.) using GCP/ SQL/ Snowflake etc. This involves designing, implementing, and writing optimized codes, maintaining complex SQL queries to extract, transform, and load (ETL) data from various tables/sources, and ensuring data integrity and accuracy throughout the data pipeline process. Create and manage data visualizations using Tableau/Power BI. This involves designing and developing interactive dashboards and reports, ensuring visualizations are user-friendly, insightful, and aligned with business requirements, and regularly updating and maintaining dashboards to reflect the latest data and insights. Generate insights and reports to support business decision-making. This includes analyzing data trends and patterns to provide actionable insights, preparing comprehensive reports that summarize key findings and recommendations, and presenting data-driven insights to stakeholders to inform strategic decisions. Handle ad-hoc data requests and provide timely solutions. This involves responding to urgent data requests from various departments, quickly gathering, analyzing, and delivering accurate data to meet immediate business needs, and ensuring ad-hoc solutions are scalable and reusable for future requests. Collaborate with stakeholders to understand and solve open-ended questions. This includes engaging with business users to identify their data needs and challenges, working closely with cross-functional teams to develop solutions for complex, open-ended problems, and translating business questions into analytical tasks to deliver meaningful results. Design and create wireframes and mockups for data visualization projects. This involves developing wireframes and mockups to plan and communicate visualization ideas, collaborating with stakeholders to refine and finalize visualization designs, and ensuring that wireframes and mockups align with user requirements and best practices. Communicate findings and insights effectively to both technical and non-technical audiences. This includes preparing clear and concise presentations to share insights with diverse audiences, tailoring communication styles to suit the technical proficiency of the audience, and using storytelling techniques to make data insights more engaging and understandable. Perform data manipulation and analysis using Python. This includes utilizing Python libraries such as Pandas, NumPy, and SciPy for data cleaning, transformation, and analysis, developing scripts and automation tools to streamline data processing tasks, and conducting statistical analysis to generate insights from large datasets. Implement basic machine learning models using Python. This involves developing and applying basic machine learning models to enhance data analysis, using libraries such as scikit-learn and TensorFlow for model development and evaluation, and interpreting and communicating the results of machine learning models to stakeholders. Automate data processes using Python. This includes creating automation scripts to streamline repetitive data tasks, implementing scheduling and monitoring of automated processes to ensure reliability, and continuously improving automation workflows to increase efficiency. Requirements: 3 to 5 years of experience in data analysis, reporting, and visualization. This includes a proven track record of working on data projects and delivering impactful results and experience in a similar role within a fast-paced environment. Proficiency in GCP/ SQL/ Snowflake/ Python for data manipulation. This includes strong knowledge of GCP/SQL/Snowflake services and tools, advanced SQL skills for complex query writing and optimization, and expertise in Python for data analysis and automation. Strong experience with Tableau/ Power BI/ Looker Studio for data visualization. This includes demonstrated ability to create compelling and informative dashboards, and familiarity with best practices in data visualization and user experience design. Excellent communication skills, with the ability to articulate complex information clearly. This includes strong written and verbal communication skills, and the ability to explain technical concepts to non-technical stakeholders. Proven ability to solve open-ended questions and handle ad-hoc requests. This includes creative problem-solving skills and a proactive approach to challenges, and flexibility to adapt to changing priorities and urgent requests. Strong problem-solving skills and attention to detail. This includes a keen eye for detail and accuracy in data analysis and reporting, and the ability to identify and resolve data quality issues. Experience in creating wireframes a nd mockups. This includes proficiency in design tools and effectively translating ideas into visual representations. Ability to work independently and as part of a team. This includes being self-motivated and able to manage multiple tasks simultaneously and having a collaborative mindset and willingness to support team members. Location: Bangalore Brand: Merkle Time Type: Full time Contract Type: Permanent

Position Summary... What you'll do... About Team: Supply Chain Technology Data Science team at Walmart is focused on using the latest and greatest in Artificial intelligence and Machine Learning, GenAI, Agentic AI, Deep Learning, Statistical Pattern Recognition, Forecasting and Computer Vision statistics to solve business problems within supply chain warehouse, transportation and fulfillment areas. We build machine learning pipelines in a big data ecosystem to empower decision-making, advanced analytical insights and optimization algorithms driven by our team to help Walmart optimize supply chain at operational, tactical and strategic levels. You will be contributing towards building Forecasting/Prediction/Root-cause algorithms/AgenticAI/Vision algorithms by closely collaborating across teams and provide solution to business challenges. In most cases the prioritization of business challenges is based on impact and hence your contributions can have direct impact to our businesses. What you'll do: As a Data Scientists for Walmart, you’ll have the opportunity to Play a key role to solve complex AI problems, pivotal to Walmart’s business and drive actionable insights from terabytes of data Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Walmart at Scale and take them to PROD using best industry standard practices. Develop ideas leveraging GenAI, Agentic AI and take them to PROD Take forward the solutions into Pipelines/APIs into PROD as needed by the business Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions Brainstorm, review and mentor junior associates in providing robust data science solutions What you'll bring: M.Tech with 5+ years of relevant experience in Machine learning / Artificial intelligence Problem solver at heart with experience in taking solutions to PROD Proficiency with Python/Java/PySpark/BiqQuery etc Proficiency with ML libraries sklearn/pytorch/tensorflow etc Good knowledge of commonly used design patterns in data science Cloud friendliness (GCP/Azure etc) to leverage distributed computing/scalability Good communication/influencing/mentoring skills with inclination to high ownership and commitment About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Flexible, hybrid work We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives. Benefits Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone. At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions – while being inclusive of all people. Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area Primary Location... BLOCK- 1, PRESTIGE TECH PACIFIC PARK, SY NO. 38/1, OUTER RING ROAD KADUBEESANAHALLI, , India R-2188599

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 11th July 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Job Title: AI Engineer Intern (Generative AI) Location: Viman nagar, Pune Type: Internship Duration: 6 months Stipend level: 7-10 K Role Overview As a Generative AI Engineer Intern, you will work on projects involving text, audio, image, and video generation. You will explore and train generative AI models, design creative workflows, and contribute to the development of innovative tools and solutions. This internship is an excellent opportunity to gain hands-on experience in one of the most exciting areas of AI and work on impactful projects. Key Responsibilities: AI Model Development & Training: Train and fine-tune generative models such as GPT, Stable Diffusion, DALL·E, and similar architectures for various creative outputs. Experiment with cutting-edge techniques in model training and optimization for specific use cases in text, audio, image, and video generation. Content Generation & Enhancement: Develop tools and pipelines for generating high-quality text, images, videos, and audio assets. Assist in creating datasets for model training and testing, ensuring data diversity and quality. Implement AI-driven techniques for enhancing and editing generated outputs. Research & Development: Explore state-of-the-art research in generative AI, keeping up with trends and advancements. Contribute to internal discussions and brainstorming sessions for new product ideas and features. Integration & Deployment: Collaborate with the engineering team to integrate generative AI models into user-facing applications. Test, debug, and improve generative AI systems to ensure smooth deployment and usability. Collaboration: Work closely with designers, developers, and product managers to understand requirements and deliver tailored generative AI solutions. Provide technical insights and documentation for projects. Qualifications: Technical Skills: Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, or Keras. Knowledge of NLP, CV, and generative model architectures (e.g., GANs, Transformers, Diffusion Models). Experience with text, audio, image, or video generation tools (e.g., GPT, LLaMa, DALL·E, Stable Diffusion, etc.). Familiarity with dataset preprocessing and augmentation techniques. Basic knowledge of API development in either Node.js or Python Basic knowledge of Version control(Git, SVN) Soft Skills: Analytical mindset with a passion for problem-solving and innovation. Excellent communication skills and a team-oriented approach. Enthusiasm for generative AI and a creative spirit to push the limits of technology. Education: Bachelor of Technology Bachelor of Engineering Bachelor of Science Masters of Science Masters of Engineering Data Science Artificial Intelligence Machine Learning Preferred Qualifications: Experience with model fine-tuning or custom model training. Familiarity with existing generation frameworks (e.g. Midjourney, RunwayML,Luma, ElevenLabs, etc.). Knowledge of API development and integration for deploying AI models. What We Offer Hands-on experience working on exciting AI projects. Mentorship from experienced professionals in AI and technology. Opportunity to contribute to innovative solutions and gain industry exposure. A creative and collaborative work environment.

Job Title: AI/ML Engineer Location: Baner, Pune Company: Muks Robotics AI Pvt. Ltd. Experience: 1- 3+ years Employment Type: Full-time Position - 2 About Us At Muks Robotics AI Pvt. Ltd. , we are at the forefront of AI-driven robotics innovation. Our mission is to integrate Artificial Intelligence and Machine Learning into robotics solutions that transform industries and improve lives. We’re looking for a talented and passionate Senior AI/ML Engineer to join our growing team and help build intelligent systems that shape the future. Roles & Responsibilities: Design, develop, and implement cutting-edge machine learning and deep learning models for robotics and automation. Collaborate with cross-functional teams (Robotics, Embedded, Software) to integrate AI models into real-time robotic systems. Lead end-to-end AI/ML project lifecycles – from data collection, preprocessing, model training, evaluation, and deployment. Optimize models for performance and real-time inference on edge devices. Research and implement novel algorithms and techniques from recent AI/ML publications. Mentor junior engineers and contribute to team knowledge-sharing sessions. Monitor and maintain deployed models, ensuring robustness and accuracy over time. Required Skills: Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn). Strong understanding of machine learning, deep learning (CNNs, RNNs, Transformers), and computer vision. Hands-on experience with AI model deployment (TensorRT, ONNX, Docker, etc.). Experience with data pipelines, data augmentation, and annotation tools. Good knowledge of algorithms, data structures, and system design. Familiarity with ROS (Robot Operating System), edge computing, or real-time inference is a strong plus. Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, Robotics, or related fields. Minimum 2 years of relevant industry experience in AI/ML with successful project deliveries. Publications in top AI/ML conferences (optional but desirable). Why Join Us? Work on cutting-edge robotics AI applications. Collaborative and research-oriented culture. Fast-paced, innovation-driven startup environment. Opportunities to lead and grow with the company.

Associate Project Manager – AI/ML Experience: 8+ years (including 3+ years in project management) Notice Period: Immediate to 15 days Location: Coimbatore / Chennai 🔍 Job Summary We are seeking experienced Associate Project Managers with a strong foundation in AI/ML project delivery. The ideal candidate will have a proven track record of managing cross-functional teams, delivering complex software projects, and driving AI/ML initiatives from conception to deployment. This role requires a blend of project management expertise and technical understanding of machine learning systems, data pipelines, and model lifecycle management. ✅ Required Experience & Skills 📌 Project Management Minimum 3+ years of project management experience, including planning, tracking, and delivering software projects. Strong experience in Agile, Scrum, and SDLC/Waterfall methodologies. Proven ability to manage multiple projects and stakeholders across business and technical teams. Experience in budgeting, vendor negotiation, and resource planning. Proficiency in tools like MS Project, Excel, PowerPoint, ServiceNow, SmartSheet, and Lucidchart. 🤖 AI/ML Technical Exposure (Must-Have) Exposure to AI/ML project lifecycle: data collection, model development, training, validation, deployment, and monitoring. Understanding of ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data platforms (e.g., Azure ML, AWS SageMaker, Databricks). Familiarity with MLOps practices, model versioning, and CI/CD pipelines for ML. Experience working with data scientists, ML engineers, and DevOps teams to deliver AI/ML solutions. Ability to translate business problems into AI/ML use cases and manage delivery timelines. 🧩 Leadership & Communication Strong leadership, decision-making, and organizational skills. Excellent communication and stakeholder management abilities. Ability to influence and gain buy-in from executive sponsors and cross-functional teams. Experience in building and maintaining relationships with business leaders and technical teams. 🎯 Roles & Responsibilities Lead AI/ML and software development projects from initiation through delivery. Collaborate with data science and engineering teams to define project scope, milestones, and deliverables. Develop and maintain detailed project plans aligned with business goals and technical feasibility. Monitor progress, manage risks, and ensure timely delivery of AI/ML models and software components. Coordinate cross-functional teams and ensure alignment between business, data, and engineering stakeholders. Track project metrics, ROI, and model performance post-deployment. Ensure compliance with data governance, security, and ethical AI standards. Drive continuous improvement in project execution and delivery frameworks. Stay updated on AI/ML trends and contribute to strategic planning for future initiatives.

Job Title: Data Scientist Location: Chennai (Work From Office) Experience: 4 - 8 years About Us: At Objectways, we are at the forefront of AI innovation, solving real-world problems using cutting-edge machine learning and reasoning technologies. Our team works on ambitious projects involving agent trajectory prediction, complex reasoning systems, multimodal intelligence, and preference-based learning. We're looking for a talented Data Scientist eager to push the boundaries of applied AI. Role Overview: We are seeking an experienced Data Scientist (minimum 4 years) to work across a diverse range of AI projects, including: Machine Learning model development Agent Trajectory prediction and modeling Complex Reasoning and Decision Systems Preference Ranking & Reinforcement Learning Multimodal Reasoning (Text, Image, Audio) Prompt Validation and Evaluation for LLMs Key Responsibilities: Design and build ML models for structured and unstructured data Conduct agent-based simulations and develop trajectory learning systems Apply preference learning techniques for fine-tuned ranking outcomes Handle multimodal datasets and develop reasoning pipelines across modalities Validate and optimize prompts for large language model performance Translate research into scalable, production-level implementations Collaborate with cross-functional teams (Engineering, Product, Research) Required Qualifications: Minimum 4 years of hands-on experience in Data Science or Machine Learning roles Strong foundation in Python, PyTorch/TensorFlow, scikit-learn, and ML lifecycle tools Proven expertise in one or more: trajectory modeling, preference ranking, or multimodal systems Experience with LLM prompt engineering and evaluation techniques Solid understanding of complex reasoning algorithms, graph-based methods, or causal inference Strong problem-solving, analytical thinking, and communication skills Preferred Skills: Familiarity with tools like LangChain, Hugging Face, or OpenAI APIs Exposure to RLHF (Reinforcement Learning from Human Feedback) or prompt-tuning Experience with deploying ML models in production environments (e.g., using Docker, MLflow) Why Join Us: Work on high-impact, next-generation AI challenges Collaborate with top talent across domains Competitive salary + benefits + learning budget Flexible and remote-friendly work culture

About Improzo At Improzo (Improve + Zoe; meaning Life in Greek), we believe in improving life by empowering our customers. Founded by seasoned Industry leaders, we are laser focused for delivering quality-led commercial analytical solutions to our clients. Our dedicated team of experts in commercial data, technology, and operations has been evolving and learning together since our inception. Here, you won't find yourself confined to a cubicle; instead, you'll be navigating open waters, collaborating with brilliant minds to shape the future. You will work with leading Life Sciences clients, seasoned leaders and carefully chosen peers like you! People are at the heart of our success, so we have defined our CARE values framework with a lot of effort, and we use it as our guiding light in everything we do. We CARE! Customer-Centric: Client success is our success. Prioritize customer needs and outcomes in every action. Adaptive: Agile and Innovative, with a growth mindset. Pursue bold and disruptive avenues that push the boundaries of possibilities. Respect: Deep respect for our clients & colleagues. Foster a culture of collaboration and act with honesty, transparency, and ethical responsibility. Execution: Laser focused on quality-led execution; we deliver! Strive for the highest quality in our services, solutions, and customer experiences. About The Role We're looking for a Data Scientist in Pune to drive insights for pharma clients using advanced ML, Gen AI, and LLMs on complex healthcare data. You'll optimize Pharma commercial strategies (forecasting, marketing, SFE) and improve patient outcomes (journey mapping, adherence, RWE). Key Responsibilities Data Exploration & Problem Framing: Proactively engage with client/business stakeholders (e.g., Sales, Marketing, Market Access, Commercial Operations, Medical Affairs, Patient Advocacy teams) to deeply understand their challenges and strategic objectives. Explore, clean, and prepare large, complex, and sometimes messy datasets from various sources, including but not limited to: sales data, prescription data, claims data, Electronic Health Records (EHRs), patient support program data, CRM data, and real-world evidence (RWE) datasets. Translate ambiguous business problems into well-defined data science questions and develop appropriate analytical frameworks. Advanced Analytics & Model Development Design, develop, validate, and deploy robust statistical models and machine learning algorithms (e.g., predictive models, classification, clustering, time series analysis, causal inference, natural language processing). Develop models for sales forecasting, marketing mix optimization, customer segmentation (HCPs, payers, pharmacies), sales force effectiveness (SFE) analysis, incentive compensation modelling, and market access analytics (e.g., payer landscape, formulary impact). Analyze promotional effectiveness and patient persistency/adherence. Build models for patient journey mapping, patient segmentation for personalized interventions, treatment adherence prediction, disease progression modelling, and identifying drivers of patient outcomes from RWE. Contribute to understanding patient behavior, unmet needs, and the impact of interventions on patient health. Generative AI & LLM Solutions Extracting insights from unstructured text data (e.g., clinical notes, scientific literature, sales call transcripts, patient forum discussions). Summarization of complex medical or commercial documents. Automated content generation for internal use (e.g., draft reports, competitive intelligence summaries). Enhancing data augmentation or synthetic data generation for model training. Developing intelligent search or Q&A systems for commercial or medical inquiries. Apply techniques like prompt engineering, fine-tuning of LLMs, and retrieval-augmented generation (RAG). Insight Generation & Storytelling Transform complex analytical findings into clear, concise, and compelling narratives and actionable recommendations for both technical and non-technical audiences. Create impactful data visualizations, dashboards, and presentations using tools like Tableau, Power BI, or Python/R/Alteryx visualization libraries. Collaboration & Project Lifecycle Management Collaborate effectively with cross-functional teams including product managers, data engineers, software developers, and other data scientists. Support the entire data science lifecycle, from conceptualization and data acquisition to model development, deployment (MLOps), and ongoing monitoring in production environments. Qualifications Master's or Ph.D. in Data Science, Statistics, Computer Science, Applied Mathematics, Economics, Bioinformatics, Epidemiology, or a related quantitative field. 4+ years progressive experience as a Data Scientist, with demonstrated success in applying advanced analytics to solve business problems, preferably within the healthcare, pharmaceutical, or life sciences industry using pharma dataset extensively (e.g. sales data from Iqvia, Symphony, Komodo, etc., CRM data from Veeva, OCE, etc.) Must-have: Solid understanding of pharmaceutical commercial operations (e.g., sales force effectiveness, marketing, market access, CRM). Must-have: Experience working with real-world patient data (e.g., claims, EHR, pharmacy data, patient registries) and understanding of patient journeys. Strong programming skills in Python (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and/or R for data manipulation, statistical analysis, and machine learning. Expertise in SQL for data extraction, manipulation, and analysis from relational databases. Experience with machine learning frameworks and libraries. Proficiency in data visualization tools (e.g., Tableau, Power BI) and/or visualization libraries (e.g., Matplotlib, Seaborn, Plotly). Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a significant advantage. Specific experience with Natural Language Processing (NLP) techniques, Generative AI models (e.g., Transformers, diffusion models), Large Language Models (LLMs), and prompt engineering is highly desirable. Experience with fine-tuning LLMs, working with models from Hugging Face, or utilizing major LLM APIs (e.g., OpenAI, Anthropic, Google). Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes). Knowledge of pharmaceutical or biotech industry regulations and compliance requirements like HIPAA, CCPA, SOC, etc. Excellent communication, presentation, and interpersonal skills, with the ability to effectively interact with both technical and non-technical stakeholders at all levels. Attention to details, biased for quality and client centricity. Ability to work independently and as part of a cross-functional team. Strong leadership, mentoring, and coaching skills. Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge Analytics projects, transforming the life sciences industry Collaborative and supportive work environment. Opportunities for professional development and growth. Skills: data manipulation,analytics,llm,generative ai,commercial pharma,mlops,sql,python,natural language processing,data visualization,models,r,machine learning,statistical analysis,genai,data,patient outcomes