7642 Tensorflow Jobs - Page 9

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Were seeking a Data Scientist with strong analytical and modeling skills to solve high-impact problems using data. Key Responsibilities:Analyze large datasets to extract actionable insights. Build predictive models and machine learning algorithms. Communicate findings to technical and non-technical stakeholders. Collaborate with engineering teams for deployment. Required Qualifications:2+ years of experience in data science. Proficient in Python, pandas, NumPy, and scikit-learn. Experience with statistical modeling and data visualization tools.

Position Overview: AI/ML Engineers are responsible for designing and implementing AI-driven solutions for platform monitoring, incident management, and optimization. Technical Skillset: · Proficiency with Machine Learning models and tools (TensorFlow, PyTorch) · Familiarity with AIOps platforms and tools · Experience in Python, R, or other data-centric programming languages · Experience with Azure AI and ML Services · Strong understanding of data processing pipelines and ETL · Experience in deploying AI models in production environments (Azure preferred) Experience Needed: Total Exp- 5+ yrs Rel Exp- 5+ yrs Location- Bangalore preferred Roles and Responsibilities: · Develop and implement AI models for anomaly detection, predictive monitoring, and automated incident management. · Collaborate with platform teams to identify areas for AI-based optimization. · Integrate AIOps solutions with observability tools like Dynatrace. Preferred and Good to Have Skills: · Experience in MLOps for managing machine learning lifecycle · Familiarity with AIOps solutions and their integration with cloud platforms Qualifications: · Certifications in AI/ML (e.g., Azure AI Engineer Associate)

Responsibilities Build and deploy production-grade ML pipelines for varied use cases across operations, manufacturing, supply chain, and more Work hands-on in designing, training, and fine-tuning models across traditional ML, deep learning, and GenAI (LLMs, diffusion models, etc.) Collaborate with data scientists to transform exploratory notebooks into scalable, maintainable, and monitored deployments Implement CI/CD pipelines, version control, and experiment tracking using tools like MLflow, DVC, or similar Do shadow deployment and A/B testing of production models Partner with data engineers to build data pipelines that support real-time or batch model inference Ensure high availability, performance, and observability of deployed ML solutions using MLOps best practices Conduct code reviews, performance tuning, and contribute to ML infrastructure improvements Support the end-to-end lifecycle of ML products Contribute to knowledge sharing, reusable component development, and internal upskilling initiatives Qualifications Bachelor's in Computer Science, Engineering, Data Science, or related field. Master’s degree preferred 4–6 years of experience in developing and deploying machine learning models, with significant exposure to MLOps practices Experience in implementing and productionizing Generative AI applications using LLMs (e.g., OpenAI, HuggingFace, LangChain, RAG architectures) Strong programming skills in Python; familiarity with ML libraries such as scikit-learn, TensorFlow, PyTorch Hands-on experience with tools like MLflow, Docker, Kubernetes, FastAPI/Flask, Airflow, Git, and cloud platforms (Azure/AWS) Solid understanding of software engineering fundamentals and DevOps/MLOps workflows Exposure to at least 2-3 industry domains (energy, manufacturing, finance, etc.) preferred Excellent problem-solving skills, ownership mindset, and ability to work in agile cross-functional teams

About Biz2X Biz2X is the leading digital lending platform, enabling financial providers to power growth with a modern omni-channel experience, best-in-class risk management tools and a comprehensive yet flexible Servicing engine. The company partners with financial institutions to support their Digital Transformation efforts with Biz2X’s digital lending platform. Biz2X solutions not only reduces operational expenses, but accelerates lending growth by significantly improving client experience, reducing total turnaround time, and equipping the relationship managers with powerful monitoring insights and alerts Read Our Latest Press Release : Press Release - Biz 2X About Biz2Cre dit Biz2Credit is a digital-first provider of small business funding. Biz2Credit leverages data, cash flow insights, and the latest technology to give business owners an automated small business funding platform. Since its inception, Biz2Credit has been the best place for small businesses to get funding online. With over 750 employees globally, our team – made up of top-notch engineers, marketers, and data scientists – is building the next generation in business lending soluti ons. Read Our Latest Press Rele ase: Biz2Credit in the News - Biz2C redit Learn More: www.biz2x.com & www.biz2cred it.com Role – Lead Engineer – AI, Machine L earning Job O verview: We are seeking a Lead Engineer to drive the development and deployment of sophisticated AI solutions in our fintech products. You will lead a team of engineers, oversee MLOps pipelines, and manage large language models (LLMs) to enhance our financial technology services. Key Respons ibilities: AI/ML Development: Design and implement advanced ML models for applications including fraud detection, credit scoring, and algorithmic trading. MLOps: Develop and manage MLOps pipelines using tools such as MLflow, Kubeflow, and Airflow for CI/CD, model monitoring, and automation. LLMOps: Optimize and operationalize LLMs (e.g., GPT-4, BERT) for fintech applications like automated customer support and sentiment analysis. Technical Leadership : Mentor and lead a team of ML engineers and data scientists, conducting code reviews and ensuring best practices. Collaboration: Work with product managers, data engineers, and business analysts to align technical solutions with business objectives. Experience in building RA G pipelines Qualifications: Experience: 7-9 years in AI, ML, MLOps, and LLMOps with a focus on fintech. Technical Skills: Expertise in TensorFlow, PyTorch, scikit-learn, and MLOps tools (MLflow, Kubeflow). Proficiency in large language models (LLMs) and cloud platforms (AWS, GCP, Azure). Strong programming skills in Python, Java, or Scala.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for India’s top 1% Data Scientists for a unique job opportunity to work with the industry leaders. Who can be a part of the community? We are looking for top-tier Data Scientists with expertise in predictive modeling, statistical analysis, and A/B testing. If you have experience in this field then this is your chance to collaborate with industry leaders. What’s in it for you? Pay above market standards The role is going to be contract based with project timelines from 2 - 12 months , or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be: Remote (Highly likely) Onsite on client location Deccan AI’s Office: Hyderabad or Bangalore Responsibilities: Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams. Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights. Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights. Own the full lifecycle of data science projects—from data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring. Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models. Required Skills: Expert in Python, data science libraries (Pandas, NumPy, Scikit-learn), and R with extensive experience with machine learning (XGBoost, PyTorch, TensorFlow) and statistical modeling. Proficient in building scalable data pipelines (Apache Spark, Dask) and cloud platforms (AWS, GCP, Azure). Expertise in MLOps (Docker, Kubernetes, MLflow, CI/CD) along with strong data visualization skills (Tableau, Plotly Dash) and business acumen. Nice to Have: Experience with NLP, computer vision, recommendation systems, or real-time data processing (Kafka, Flink). Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI practices. Contributions to open-source projects or published research. What are the next steps? 1. Register on our Soul AI website. 2. Our team will review your profile. 3. Clear all the screening rounds: Clear the assessments once you are shortlisted. As soon as you qualify all the screening rounds (assessments, interviews) you will be added to our Expert Community! 4. Profile matching and Project Allocation: Be patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!

About Us: At Soul AI, we develop AI solutions with real-world benefits. Built by a top-tier team from IITs and IIMs, and operating out of SF and Hyderabad, our AI team tackles meaningful problems at scale. We’re hiring an AI/ML Engineer with strong Python and machine learning skills. Key Responsibilities: Design and train machine learning models using Python. Perform data preprocessing and feature engineering. Optimize models for accuracy and performance. Deploy models in production environments. Required Qualifications: 2+ years of experience in ML/AI using Python. Strong grasp of scikit-learn, TensorFlow, or PyTorch. Experience with deployment tools and APIs. Why Join Us? Competitive pay (₹1200/hour). Flexible hours. Remote opportunity.

About Firstsource Firstsource Solutions Limited, an RP-Sanjiv Goenka Group company (NSE: FSL, BSE: 532809, Reuters: FISO.BO, Bloomberg: FSOL:IN), is a specialized global business process services partner, providing transformational solutions and services spanning the customer lifecycle across Healthcare, Banking and Financial Services, Communications, Media and Technology, Retail, and other diverse industries. With an established presence in the US, the UK, India, Mexico, Australia, South Africa, and the Philippines, we make it happen for our clients, solving their biggest challenges with hyper-focused, domain-centered teams and cutting-edge tech, data, and analytics. Our real-world practitioners work collaboratively to deliver future-focused outcomes. Kindly click on the below link to apply: https://forms.office.com/r/xpJrz4ndZ5 Responsibilities: New AI Tech research Publish Periodic AI research paper for Tech Folks Publish Period Market Facing AI Research paper Experiment with new AI tech Help democratize new AI tech to large data science community People Management: Leadership: Strong team management and stakeholder engagement skills, with experience in delivering large-scale AI/ML projects. Program management skill – Team & delivery management, Stakeholder and financial mgmt. Strong proficiency in design, development, maintenance, and support of AI systems. Technical Expertise: Deep knowledge of AI/ML technologies, including Generative AI, Agent frameworks, Semantic Search, OCR, and Intelligent Automation, with expertise in cloud platforms (Azure, AWS, Google Cloud). AI/ML Delivery: Proven experience in AI model development, deployment, and optimization using frameworks like TensorFlow, PyTorch, and scikit-learn. Data Science & Analytics: Expertise in statistical analysis, machine learning algorithms, and model validation. Tools & Platforms: Proficiency with cloud services, Python for AI/ML, DevOps tools, AI frameworks, and data management (SQL/NoSQL/GraphDB). Position Specification: Bachelor’s degree in computer science, Information Technology, Electronics Communication. Other branches of engineering with proven skills through past experience / projects can also apply. ⚠️ Disclaimer: Firstsource follows a fair, transparent, and merit-based hiring process. We never ask for money at any stage. Beware of fraudulent offers and always verify through our official channels or @firstsource.com email addresses.

Position Summary... What you'll do... Walmart is a multi-national people led tech powered omnichannel retailer with over 2.2M associates. At People.AI , we help, support, and empower the Walmart’s HR function with AI and GenAI solutions to improve productivity , harnessing the opportunities for growth, focusing on well-being, and cultivating cultures of belonging for all Walmart's associates. People.AI is a horizontal data science team supporting People Tech and Services across a multitude of use-cases and business domains. People.AI strategy aims to empower the people business and associates by converting Walmart’s people data, business processes, knowledge, and HR subject matter expertise into different productivity experiences like knowledge search and Q&A, data analytics and insights, actions, and recommendations etc. The People.AI team is responsible for developing and deploying AI/ML solutions supporting the Walmart associates globally. The People.AI team is seeking a highly skilled and experienced Staff Data Scientist. In this individual contributor role, you need to possess excellent hands-on experience as well as a deep passion for AI/ML product development. In this role, you will build an LLM-powered intelligent experience within a chatbot or business application to enhance associate experience and productivity. This role involves development of innovative GenAI/AI systems on an enterprise scale, implementing cutting-edge Generative AI technologies, and collaborating with a highly synergized team of data scientists, machine learning engineers, software engineers. Also, you will play a pivotal role in shaping the technical direction of our products and systems with responsibilities including leading the creation and maintenance of technical architecture, aligning it with business goals and scalability requirements, and architecting complex AI/ML systems to ensure robustness, responsible-AI, and scalability needs are met. Additionally, the role involves providing hands-on technical guidance and mentorship to junior data scientists, machine learning engineers, collaborating closely with cross-functional teams, and establishing and enforcing coding standards through thorough code reviews. About Team: The EBS People Technology organization supports the successful deployment and adoption of new People technology across the enterprise. People Technology is one of the major segments of Walmart Global Tech’s Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience. Enterprise Business Services (EBS) @ IDC Bangalore and Chennai in India are focused on data driven, highly optimized products and implementations in the areas of Finance, Procurement, Human Resources and Retail business functions for multiple Walmart markets with open stack technologies and other ERP tools. What you'll do: This is a vital role with significant growth prospects. You will have work to do from day one and you will be counted on to create opportunities that align with the overall organization goals. Some of this role’s key responsibilities include, but not limited to: Collaborate with a team of data scientists, machine learning engineers and software engineers to design, architect, build AI/ML models and systems, and deploy, operate and optimize the solutions Work in an Agile practice in a highly collaborative environment with a multidisciplinary team. Design end-to-end system architecture for GenAI/AI/ML and data intensive applications Construct multi-agent intelligent workflows that translate natural language inputs into complex, goal-directed task sequences. Mentor team of data scientists to develop their skills and business understanding Develop and deploy production-grade real-time/batch machine learning services Work with product managers to design user journeys, feedback loop and analyze user telemetry Identify or propose AI/ML use-cases to business teams to improve business processes and develop quick MVPs/ POCs to help stakeholders make better decisions Uphold a set of robust work standards to ensure we build trustworthy AI/ML solutions Collaborate with applied researchers and data scientists to iteratively improve our ML models and refine MLOps practice What you’ll bring: You have 9+ years' experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric GenAI /AI /ML products and applications You have a bachelor's/master's degree in computer science, information technology, engineering, statistics, economics, mathematics, or related area You have excellent industry experience in production-grade AI/ML system development with major technology companies or AI-native start-ups. You have extensive experience in production-grade python code development. You can execute our trustworthy AI/ML practice with stakeholders across the enterprise. You can effectively mentor junior data scientists and guide them through ambiguous technical problems on the project You can communicate internally and externally through publications, presentations, and other mediums on research progress, major breakthroughs, and product innovation. You have extensive experience with statistical analysis and programming languages e.g. Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch. You have experience in building deep learning applications, neural network deployment optimizations and architecting ML systems You have experience in developing chatbots/ NLP/ recommendation-engine systems You are excited about building distributed machine learning systems at scale in production You are familiar with version control using Git in collaboration settings You have experience at writing high-performing production-quality code in Python You have experience in working with end-to-end CI/CD pipelines and experience with Kubernetes You are research driven, thorough and detail oriented You believe in the importance of establishing work standards and leveraging automations You have a history of collaboration, openness, honesty, timely decision making, and clear communication in both verbal and written forms You embrace lifelong learning - always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others Bonus Skills: Experience developing or fine-tuning large language models (LLMs), including prompt engineering, retrieval-augmented generation (RAG), or open-weight model customization. Experience in building multi-modal GenAI action agents. Publication history in top-tier ML/NLP conferences such as NeurIPS, ICML, ACL, EMNLP, or ICLR 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. Primary Location... Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2187135

Data Scientist Location: India (Remote) Job type: Permanent Salary : up to INR 28 LPA A leading global technology partner, helping large enterprises navigate complex challenges and accelerate digital transformation. With deep expertise across industries, delivering tailored workflow and experience-focused solutions that align business goals with modern technology. As a Data Scientist you will be involved in data analysis, machine learning, and statistical modelling. You'll work across teams to develop predictive models, solve complex business problems, and drive data-led decision-making using large and diverse datasets. You will design and implement machine learning models to address key business needs and will design, implement machine learning models to address key business needs. Skills: Proficient in Python, strong in SQL. Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn. Familiar with big data tools (e.g., Hadoop, Spark) and cloud platforms (AWS, Azure, GCP). Knowledge of NLP, computer vision, or time-series analysis is a plus. Ready to make an impact with data? Apply now and be part of a team that's shaping intelligent, data-driven solutions.

Job Title: Data Scientist Location: Chandigarh (Work from Office) Experience Required: 3+ Years Company: SparkBrains Private Limited Job Description: We are looking for a Data Scientist with 3+ years of hands-on experience in Machine Learning, Deep Learning, and Large Language Models (LLMs). The ideal candidate should possess strong analytical skills, expertise in data modeling, and the ability to develop and deploy AI-driven solutions that add value to our business and clients. Key Responsibilities: 1) Data Collection & Preprocessing: Gather, clean, and prepare structured and unstructured data for model training and evaluation. 2) Model Development: Design, develop, and optimize machine learning and deep learning models to solve real-world business problems. 3) LLM Integration: Build, fine-tune, and deploy Large Language Models (LLMs) for various NLP tasks, including text generation, summarization, and sentiment analysis. 4) Feature Engineering: Identify relevant features and implement feature extraction techniques to improve model accuracy. 5) Model Evaluation & Optimization: Conduct rigorous evaluation and fine-tuning to enhance model performance and ensure scalability. 6) Data Visualization & Insights: Create dashboards and reports to communicate findings and insights effectively to stakeholders. 7) API Development & Deployment: Develop APIs and integrate AI/ML models into production systems. 8) Collaboration & Documentation: Collaborate with cross-functional teams to understand business requirements and document all processes and models effectively. Required Skills & Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, AI, Machine Learning, or a related field. Experience: Minimum 3+ years of proven experience as a Data Scientist/AI Engineer. Technical Skills: 1) Proficiency in Python and relevant ML/AI libraries such as TensorFlow, PyTorch, Scikit-Learn, etc. 2) Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) and fine-tuning models. 3) Strong understanding of Natural Language Processing (NLP), neural networks, and deep learning architectures. 4) Knowledge of data wrangling, data visualization, and feature engineering techniques. 5) Experience with APIs, cloud platforms (AWS, Azure, or GCP), and deployment of AI models in production. 6) Analytical & Problem-Solving Skills: Strong analytical mindset with the ability to interpret data and derive actionable insights. 7) Communication Skills: Excellent verbal and written communication skills to effectively collaborate with technical and non-technical teams. Why Join Us? - Opportunity to work on cutting-edge AI/ML projects. - Collaborative work environment with a focus on continuous learning. - Exposure to diverse industries and domains. - Competitive salary and growth opportunities. Job Types: Full-time, Permanent Pay: ₹480,000.00 - ₹1,000,000.00 per year Schedule: Day shift Monday to Friday Weekend availability Work Location: In person

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for: Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

As an Associate Data Scientist at IBM, you will work to solve business problems using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools and our AI application suites. You will prepare, analyze, and understand data to deliver insight, predict emerging trends, and provide recommendations to stakeholders. In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred

As a Generative AI Senior Developer with IBM Consulting, you are primarily responsible for designing and implementing complex GenAI solutions using IBM WatsonX and Ecosystem Partner Stacks (Microsoft Azure / Open AI, AWS, Aleph Alpha, as well as Open Source). In addition, you are supporting business development, sales as well as the delivery of consulting and system integration projects in Data & AI for our clients. * You have end-to-end technical responsibility during the acquisition, design and delivery of technically complex GenAI projects at scale * You are accountable for the development and productive deployment of scalable Generative AI applications and platforms, particularly within (hybrid) cloud architectures. * You provide consultation and support to clients and colleagues in architecting and selecting the right technology stack for flexible, scalable, and economical GenAI solutions. * You guide and support clients and colleagues in the adoption of development and operational processes for AI solutions, such as Agile DevOps, FinOps, Trustworthy AI and MLOps methodologies. * You stay abreast of the latest developments in the Artificial Intelligence market and research environment, actively participating in knowledge transfer within IBM Consulting, especially when it comes to mentoring junior team members and delivery teams. * You also develop the strategy, vision, and roadmap for GenAI architectures within our consulting business, contributing to both our immediate sales objectives and long-term business growth. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Professional with at least 6-10 years of experience ideally in data and analytics and/or architecture, including 3 years in the design, build, and implementation of AI/Deep Learning & GenAI solutions. * Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholder Preferred technical and professional experience Experienced in architecting AI solutions and managing delivery of highly technical analytics use cases. * Conversant with technical stacks used to support Generative AI use cases (AWS, Google, Microsoft, Watson X). * Familiar with relevant concepts (eg transformer model architectures, prompt engineering, model fine tuning, retrieval augmented generation architectures) and models/technologies (Microsoft Azure / Open AI, AWS, Aleph Alpha, Hugging Face etc as well as Open Source). * Very good at stakeholder management and influencing skills, consultancy skills a very strong plus. * Able to convey complex technical concepts to non-technical stakeholders.* Fluent in English

Job Location: Hyderabad / Bangalore / Pune Immediate Joiners / less than 30 days About the Role We are looking for a seasoned AI/ML Solutions Architect with deep expertise in designing and deploying scalable AI/ML and GenAI solutions on cloud platforms. The ideal candidate will have a strong track record in BFSI, leading end-to-end projects—from use case discovery to productionization—while ensuring governance, compliance, and performance at scale. Key Responsibilities Lead the design and deployment of enterprise-scale AI/ML and GenAI architectures. Drive end-to-end AI/ML project delivery : discovery, prototyping, productionization. Architect solutions using leading cloud-native AI services (AWS, Azure, GCP). Implement MLOps/LLMOps pipelines for model lifecycle and automation. Guide teams in selecting and integrating GenAI/LLM frameworks (OpenAI, Cohere, Hugging Face, LangChain, etc.). Ensure robust AI governance, model risk management , and compliance practices. Collaborate with senior business stakeholders and cross-functional engineering teams. Required Skills & Experience 15+ years in AI/ML, cloud architecture, and data engineering. At least 10 end-to-end AI/ML project implementations. Hands-on expertise in one or more of the following: ML frameworks: scikit-learn, XGBoost, TensorFlow, PyTorch GenAI/LLM tools: OpenAI, Cohere, LangChain, Hugging Face, FAISS, Pinecone Cloud platforms: AWS, Azure, GCP (AI/ML services) MLOps: MLflow, SageMaker Pipelines, Kubeflow, Vertex AI Strong understanding of data privacy, model governance, and compliance frameworks in BFSI. Proven leadership of cross-functional technical teams and stakeholder engagement.

Back end development with GoLang Expertise in Kubernetes/OpenShift, Cloud service providers. Knowledge of Generative AI, and ability to integrate AI to applications. Ability to pick up new areas based on business requirements Excellent communication skills Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3+ years of overall experience in backend development. Excellent understanding of system design and best practices. 3+ years of application development with GoLang development. Good level of expertise in Kubernetes or OpenShift, use of Docker/Podman and Cloud service providers. Good level of knowledge of CNI, container native storage. Expertise in Version Control - Git Experience using cloud technologies (AWS/GCP/Azure/IBM Cloud) Experience with Ansible and Shell scripting Proficient in Linux administration. Experience of IaC (Terraform) Expertise in Version Control - Git Design functional DevOps application lifecycle. Good understanding of CICD pipelines such as Jenkins. Should have hands-on in writing and debugging Jenkinsfile Experience using build tools such as Maven, Gradle, Make, Ant Knowledge of AI - Pytorch, TensorFlow, Scikit, Generative AI, and ability to integrate AI functionalities to applications.

An AI Data Scientist at IBM is not just a job title - it’s a mindset. You’ll leverage the watsonx,AWS Sagemaker,Azure Open AI platform to co-create AI value with clients, focusing on technology patterns to enhance repeatability and delight clients. We are seeking an experienced and innovative AI Data Scientist to be specialized in foundation models and large language models. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services is a plus. Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus (e.g. Amazon Code Whisperer, Github Copilot etc.) * Soft Skills: Excellent interpersonal and communication skills. Engage with stakeholders for analysis and implementation. Commitment to continuous learning and staying updated with advancements in the field of AI. Growth mindsetDemonstrate a growth mindset to understand clients' business processes and challenges. Experience in python and pyspark will be added advantage Preferred technical and professional experience ExperienceProven experience in designing and delivering AI solutions, with a focus on foundation models, large language models, exposure to open source, or similar technologies. Experience in natural language processing (NLP) and text analytics is highly desirable. Understanding of machine learning and deep learning algorithms. Strong track record in scientific publications or open-source communities Experience in full AI project lifecycle, from research and prototyping to deployment in production environments

Your potential has a place here with TTEC’s award-winning employment experience.As a Principal Data Scientist working onsite in Hyderabad, India, you’ll be a part of bringing humanity to business. #experienceTTEC Our employees have spoken. Our purpose, team, and company culture are amazing and our Great Place to Work® certification in India says it all! What You’ll Do In this role, you'll work on everything from data ingestion and model training to deployment and dashboarding using BigQuery, VertexAI, PySpark, and advanced ML frameworks. You'll report to Director, Data Engineering During a Typical Day, You’ll Prepare and manage training data for machine learning models using BigQuery and GCS. Design and optimize complex SQL queries for efficient data processing and preparation. Build, deploy, and support end-to-end machine learning systems, from data ingestion to dashboarding. Develop and maintain machine learning models using frameworks like TensorFlow, PyTorch, and scikit-learn. Implement MLOps best practices to streamline model training, deployment, and monitoring. Utilize Google Cloud tools such as Vertex AI, BigQuery, and Vertex AI Pipelines for ML workflows. Lead ML projects from conception to deployment, ensuring documentation and collaboration via JIRA and Confluence. What You Bring To The Role Strong knowledge of DevOps/MLOps best practices. Experience with machine learning training, prediction, and deployment workflows. Proficiency in Python and R, with experience using multiple ML libraries. Good understanding of internal business data domains (Empower, Oracle, Kronos, Employee, NICE). Familiarity with Contact Center Switch data. Ability to write clear, concise code and maintain strong documentation throughout the ML lifecycle. Excellent communication, collaboration, and problem-solving skills; able to work across cross-functional teams and build relationships. What You Can Expect Supportive of your career and professional development An inclusive culture and community minded organization where giving back is encouraged A global team of curious lifelong learners guided by our company values Ask us about our paid time off (PTO) and wellness and healthcare benefits And yes... a great compensation package and performance bonus opportunities, benefits you'd expect and maybe a few that would pleasantly surprise you (like tuition reimbursement) About TTEC Our business is about making customers happy. That's all we do. Since 1982, we've helped companies build engaged, pleased, profitable customer experiences powered by our combination of humanity and technology. On behalf of many of the world's leading iconic and hypergrowth brands, we talk, message, text, and video chat with millions of customers every day. These exceptional customer experiences start with you. TTEC is proud to be an equal opportunity employer where all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. TTEC embraces and is committed to building a diverse and inclusive workforce that respects and empowers the cultures and perspectives within our global teams. We aim to reflect the communities we serve, by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued, belonging, and comfortable being their authentic selves at work. As a global company, we know diversity is our strength because it enables us to view things from different vantage points and for you to bring value to the table in your own unique way. Primary Location India-Telangana-Hyderabad

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 Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: These roles have many overlapping skills with GENAI Engineers and architects. Description may scaleup/scale down based on expected seniority. Roles & Responsibilities: -Implement generative AI models, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. -Conducting research to stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services. -Optimizing existing generative AI models for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models. -Implementing cutting-edge NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of our GenAI models. -Determining the most effective prompt generation processes and approaches to drive innovation and excellence in the field of AI technology, collaborating with AI researchers and developers -Experience working with cloud based platforms (example: AWS, Azure or related) -Strong problem-solving and analytical skills -Proficiency in handling various data formats and sources through Omni Channel for Speech and voice applications, part of conversational AI -Prior statistical modelling experience -Demonstrable experience with deep learning algorithms and neural networks -Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders. -Contributing to the establishment of best practices and standards for generative AI development within the organization. Professional & Technical Skills: -Must have solid experience developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. -Must be proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras. -Must have strong knowledge of data structures, algorithms, and software engineering principles. -Must be familiar with cloud-based platforms and services, such as AWS, GCP, or Azure. -Need to have experience with natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face. -Must be familiar with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly. -Need to have knowledge of software development methodologies, such as Agile or Scrum. -Possess excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions. Additional Information: -Must have a degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is highly desirable. -strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience. -You possess a proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.

Matellio is hiring a skilled and visionary AI Lead to drive development of advanced AI solutions. This is a dual role involving both technical leadership and hands-on development —perfect for someone who thrives on solving complex problems with machine learning, NLP, and LLM technologies. Key Responsibilities: Lead and mentor a team of 4–5 AI/ML engineers, guiding them through the full project lifecycle from research to production deployment. Design and own both high-level and low-level architecture for AI and GenAI-based applications, ensuring scalability, performance, and maintainability. Collaborate with sales and business development teams to create technical proposals , including solution design , architecture diagrams , and high-level estimates for Sales Qualified Leads (SQLs). Work as an individual contributor when needed, developing key components of the solution to accelerate delivery and set best practices. Research, design, and implement machine learning and deep learning models, including fine-tuning and deploying LLMs (e.g., GPT, BERT) for production use cases. Build NLP pipelines and retrieval-augmented generation (RAG) systems using tools like LangChain, LangGraph, and vector databases (e.g., FAISS, Pinecone, Weaviate). Apply statistical techniques to feature engineering, model evaluation, and performance optimization. Ensure adherence to code quality, testing, CI/CD, and documentation standards. Stay current with AI/ML advancements and proactively propose innovative solutions. Conduct code reviews, encourage peer learning, and contribute to a strong engineering culture. Required skills and qualifications: Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, Mathematics, or a related field. 7+ years of hands-on experience in AI/ML model development and deployment. Proven experience in leading technical teams and delivering production-grade AI/ML solutions. Strong architectural skills with experience designing end-to-end solutions involving cloud, APIs, and ML models. Demonstrated experience supporting technical pre-sales efforts through proposals, estimates, and client presentations. Proficient in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn. Hands-on experience with NLP tools like HuggingFace Transformers, SpaCy, and NLTK. Practical knowledge of fine-tuning and deploying LLMs , and building GenAI solutions. Familiarity with LangChain, LangGraph, and vector stores (e.g., FAISS, Pinecone). Strong understanding of classical ML algorithms (SVM, Decision Trees, etc.) and when to use them. Experience deploying models and services using REST APIs, Docker, and CI/CD pipelines. Exposure to cloud platforms such as AWS, GCP, or Azure. Excellent analytical thinking, problem-solving, and communication skills.

Position Summary... What you'll do... Walmart is a multi-national people led tech powered omnichannel retailer with over 2.2M associates. At People.AI , we help, support, and empower the Walmart’s HR function with AI and GenAI solutions to improve productivity , harnessing the opportunities for growth, focusing on well-being, and cultivating cultures of belonging for all Walmart's associates. People.AI is a horizontal data science team supporting People Tech and Services across a multitude of use-cases and business domains. People.AI strategy aims to empower the people business and associates by converting Walmart’s people data, business processes, knowledge, and HR subject matter expertise into different productivity experiences like knowledge search and Q&A, data analytics and insights, actions, and recommendations etc. The People.AI team is responsible for developing and deploying AI/ML solutions supporting the Walmart associates globally. The People.AI team is seeking a highly skilled and experienced Principal Data Scientist. In this individual contributor role, you need to possess excellent hands-on experience as well as a deep passion for AI/ML product development. In this role, you will build an LLM-powered intelligent experience within a chatbot or business application to enhance associate experience and productivity. This role involves development of innovative GenAI/AI systems on an enterprise scale, implementing cutting-edge Generative AI technologies, and collaborating with a highly synergized team of data scientists, machine learning engineers, software engineers. Also, you will play a pivotal role in shaping the technical direction of our products and systems with responsibilities including leading the creation and maintenance of technical architecture, aligning it with business goals and scalability requirements, and architecting complex AI/ML systems to ensure robustness, responsible-AI, and scalability needs are met. Additionally, the role involves providing hands-on technical guidance and mentorship to junior data scientists, machine learning engineers, collaborating closely with cross-functional teams, and establishing and enforcing coding standards through thorough code reviews. About Team: The EBS People Technology organization supports the successful deployment and adoption of new People technology across the enterprise. People Technology is one of the major segments of Walmart Global Tech’s Enterprise Business Services, which is invested in building a compact, robust organization that includes service operations and technology solutions for Finance, People, and the Associate Digital Experience. Enterprise Business Services (EBS) @ IDC Bangalore and Chennai in India are focused on data driven, highly optimized products and implementations in the areas of Finance, Procurement, Human Resources and Retail business functions for multiple Walmart markets with open stack technologies and other ERP tools. What you'll do: This is a vital role with significant growth prospects. You will have work to do from day one and you will be counted on to create opportunities that align with the overall organization goals. Some of this role’s key responsibilities include, but not limited to: Collaborate with a team of data scientists, machine learning engineers and software engineers to design, architect, build AI/ML models and systems, and deploy, operate and optimize the solutions Work in an Agile practice in a highly collaborative environment with a multidisciplinary team. Design end-to-end system architecture for GenAI/AI/ML and data intensive applications Construct multi-agent intelligent workflows that translate natural language inputs into complex, goal-directed task sequences. Mentor team of data scientists to develop their skills and business understanding Develop and deploy production-grade real-time/batch machine learning services Work with product managers to design user journeys, feedback loop and analyze user telemetry Identify or propose AI/ML use-cases to business teams to improve business processes and develop quick MVPs/ POCs to help stakeholders make better decisions Uphold a set of robust work standards to ensure we build trustworthy AI/ML solutions Collaborate with applied researchers and data scientists to iteratively improve our ML models and refine MLOps practice What you’ll bring: You have 13+ years' experience in design, development, deployment, and maintenance of highly scalable, robust, and user-centric GenAI /AI /ML products and applications You have a bachelor's/master's degree in computer science, information technology, engineering, statistics, economics, mathematics, or related area You have excellent industry experience in production-grade AI/ML system development with major technology companies or AI-native start-ups. You have extensive experience in production-grade python code development. You can execute our trustworthy AI/ML practice with stakeholders across the enterprise. You can effectively mentor junior data scientists and guide them through ambiguous technical problems on the project You can communicate internally and externally through publications, presentations, and other mediums on research progress, major breakthroughs, and product innovation. You have extensive experience with statistical analysis and programming languages e.g. Python and mainstream machine learning frameworks, e.g. TensorFlow or PyTorch. You have experience in building deep learning applications, neural network deployment optimizations and architecting ML systems You have experience in developing chatbots/ NLP/ recommendation-engine systems You are excited about building distributed machine learning systems at scale in production You are familiar with version control using Git in collaboration settings You have experience at writing high-performing production-quality code in Python You have experience in working with end-to-end CI/CD pipelines and experience with Kubernetes You are research driven, thorough and detail oriented You believe in the importance of establishing work standards and leveraging automations You have a history of collaboration, openness, honesty, timely decision making, and clear communication in both verbal and written forms You embrace lifelong learning - always learning new technologies and techniques. You are also engaged in the open-source communities to both find answers and help others Bonus Skills: Experience developing or fine-tuning large language models (LLMs), including prompt engineering, retrieval-augmented generation (RAG), or open-weight model customization. Experience in building multi-modal GenAI action agents. Publication history in top-tier ML/NLP conferences such as NeurIPS, ICML, ACL, EMNLP, or ICLR 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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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. Primary Location... Pardhanani Wilshire Ii, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India R-2187118

Unique World Robotics is looking for a passionate and skilled AI & Machine Learning Trainer to lead impactful education initiatives in Artificial Intelligence. If you're driven by innovation and committed to empowering learners, this role offers a unique opportunity to make a real difference in the world of AI education. Key Responsibilities: Design and deliver comprehensive AI/ML training programs for students and professionals Mentor learners on real-world projects and guide them through practical applications Lead workshops, seminars, and events to promote AI literacy Contribute to curriculum development and content enhancement Stay updated with emerging trends in AI/ML and integrate them into training modules Requirements: Master’s degree with specialization in Artificial Intelligence, or Bachelor’s in Engineering/Technology/Computer Science with relevant AI expertise Minimum 2 years of experience in delivering AI/ML training or mentoring AI-related projects Proficiency in Python and AI/ML tools such as TensorFlow, Keras, scikit-learn, and OpenCV Strong communication, facilitation, and mentoring skills Willingness to deliver training both online and onsite as per project requirements 

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 collaborating with cross-functional teams to integrate these technologies into existing systems. Your role will also require you to stay updated with the latest advancements in AI and machine learning, applying innovative approaches to solve complex problems and enhance system capabilities. 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. - Evaluate and recommend new technologies and tools to improve team efficiency. 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 design and implement scalable AI applications. Additional Information: - The candidate should have minimum 5 years of experience in Large Language Models. - This position is based at our Pune office. - A 15 years full time education is required.

We are seeking a motivated intern to support our Machine Learning and AI projects. The ideal candidate should have strong Python programming skills and a basic understanding of ML/AI concepts. Requirements: Proficiency in Python Familiarity with libraries like NumPy, pandas, scikit-learn Knowledge of machine learning fundamentals Good problem-solving skills Preferred: Experience with TensorFlow or PyTorch Coursework or projects in ML/AI

Role : Sr. AI/ML Engineer Years of experience: 5+ years (with minimum 4 years of relevant experience) Work mode: WFO- Chennai (mandate) Type: FTE Notice Period: Immediate to 15 days ONLY Key skills: Python, Tensorflow, Generative AI ,Machine Learning, AWS , Agentic AI, Open AI, Claude, Fast API JD: Experience in Gen AI, CI/CD pipelines, scripting languages, and a deep understanding of version control systems(e.g. Git), containerization (e.g. Docker), and continuous integration/deployment tools (e.g. Jenkins) third party integration is a plus, cloud computing platforms (e.g. AWS, GCP, Azure), Kubernetes and Kafka. Experience building production-grade ML pipelines. Proficient in Python and frameworks like Tensorflow, Keras , or PyTorch. Experience with cloud build, deployment, and orchestration tools Experience with MLOps tools such as MLFlow, Kubeflow, Weights & Biases, AWS Sagemaker, Vertex AI, DVC, Airflow, Prefect, etc., Experience in statistical modeling, machine learning, data mining, and unstructured data analytics. Understanding of ML Lifecycle, MLOps & Hands on experience to Productionize the ML Model Detail-oriented, with the ability to work both independently and collaboratively. Ability to work successfully with multi-functional teams, principals, and architects, across organizational boundaries and geographies. Equal comfort driving low-level technical implementation and high-level architecture evolution Experience working with data engineering pipelines