Description RESPONSIBILITIES Design and implement CI/CD pipelines for AI and ML model training, evaluation, and RAG system deployment (including LLMs, vectorDB, embedding and reranking models, governance and observability systems, and guardrails). Provision and manage AI infrastructure across cloud hyperscalers (AWS/GCP), using infrastructure-as-code tools -strong preference for Terraform-. Maintain containerized environments (Docker, Kubernetes) optimized for GPU workloads and distributed compute. Support vector database, feature store, and embedding store deployments (e.g., pgVector, Pinecone, Redis, Featureform. MongoDB Atlas, etc). Monitor and optimize performance, availability, and cost of AI workloads, using observability tools (e.g., Prometheus, Grafana, Datadog, or managed cloud offerings). Collaborate with data scientists, AI/ML engineers, and other members of the platform team to ensure smooth transitions from experimentation to production. Implement security best practices including secrets management, model access control, data encryption, and audit logging for AI pipelines. Help support the deployment and orchestration of agentic AI systems (LangChain, LangGraph, CrewAI, Copilot Studio, AgentSpace, etc.). Must Haves: 4+ years of DevOps or infrastructure engineering experience. Preferably with 2+ years in AI/ML environments. Hands-on experience with cloud-native services (AWS Bedrock/SageMaker, GCP Vertex AI, or Azure ML) and GPU infrastructure management. Strong skills in CI/CD tools (GitHub Actions, ArgoCD, Jenkins) and configuration management (Ansible, Helm, etc.). Proficient in scripting languages like Python, Bash, -Go or similar is a nice plus-. Experience with monitoring, logging, and alerting systems for AI/ML workloads. Deep understanding of Kubernetes and container lifecycle management. Bonus Attributes: Exposure to MLOps tooling such as MLflow, Kubeflow, SageMaker Pipelines, or Vertex Pipelines. Familiarity with prompt engineering, model fine-tuning, and inference serving. Experience with secure AI deployment and compliance frameworks Knowledge of model versioning, drift detection, and scalable rollback strategies. Abilities: Ability to work with a high level of initiative, accuracy, and attention to detail. Ability to prioritize multiple assignments effectively. Ability to meet established deadlines. Ability to successfully, efficiently, and professionally interact with staff and customers. Excellent organization skills. Critical thinking ability ranging from moderately to highly complex. Flexibility in meeting the business needs of the customer and the company. Ability to work creatively and independently with latitude and minimal supervision. Ability to utilize experience and judgment in accomplishing assigned goals. Experience in navigating organizational structure. Show more Show less

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Test Engineering General Summary: You will join the System Test team that is responsible for defining and implementing the overall testing strategy for WiFi & Networking AI/ML and Apps running on the access points. This involves development of test plans, tools and automation framework for validating and qualifying the AI SDK, AI/ML inference and applications running on the routers. You will work closely with systems team, development, and architecture team to understand the features and define test plans and solutions needed to deliver production grade software/firmware to the end customer. You will be collaborating with a variety of internal teams in Qualcomm covering multiple engineering disciplines including software, systems, and hardware. The successful applicant should have a diverse skill set and a strong background in developing test applications, API test framework and testing applications in embedded platforms. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Test Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Test Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Test Engineering or related work experience. Responsibilities: Must be responsible for analyzing new feature and develop/create new test plans and adding new test cases Develop test applications, build API test frameworks and AI/ML models Manage Infrastructure, develop test topologies and prepare use cases for validation Work with cross functional teams for supporting end-to-end release Directs team of engineers on gathering, integrating, and interpreting information from a variety of sources in-order to troubleshoot issues and find solutions. Develop the right skill and train the team. Serves as a mentor to Engineers and Senior Engineers and teaches them about complex features, systems, testing strategies, and automation. Conduct log analysis with team members to identify where an issue has occurred and makes recommendations for how to address the issue. Networks with colleagues within own domain to gain insight, ideas, and connections. Shares information with peers and junior engineers. Collaborates with functional and lab teams, IO teams, network operators, field teams, and product management teams to ensure that the testing plan is accurate for addressing feature issues. Minimum Qualifications Bachelor's or Master’s degree in Engineering, Information Systems, Computer Science, Electronics & communications or related field. 10+ years in WiFi/Networking, AI, Embedded Application test, automation or Software Engineering Experience with developing and testing applications for Embedded systems Experience in developing and testing AI/ML models and applications Required Skills And Aptitudes Should possess strong knowledge in WLAN/networking and manual testing of networking products Strong knowledge in developing applications on embedded platforms Strong knowledge in developing and testing AI/ML models and AI/ML applications Must have good experience in testing of layer-2 to layer 7 protocols Possess high Debugging capability Strong problem-solving skills Ability to prioritize and execute tasks across multiple projects with tight deadlines and aggressive goals. Experience in scripting languages like python Excellent English communication (written and verbal) and interpersonal skills Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3073149 Show more Show less

Job Family Data Science & Analysis (India) Travel Required Up to 10% Clearance Required None What You Will Do Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-and other relevant datasets, focusing on accuracy and context relevance. Collaborate with cross-functional teams (Business, engineering, IT) to seamlessly integrate AI/ML technologies into our solution offerings. Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance. Continuously research and evaluate the latest advancements in AI/ML and industry trends to drive innovation. Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures. Provide technical guidance and mentorship to junior AI engineers and team members. Collaborate with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development. Select and curate appropriate datasets for fine-tuning foundational models to address specific use cases. Ensure AI solutions can seamlessly integrate with existing systems and applications. What You Will Need Bachelors or master’s in computer science, Artificial Intelligence, Machine Learning, or a related field. 2 to 5 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models. Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.). Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.). Experience in Voice AI applications, a solid understanding of healthcare data standards (FHIR, HL7, EDI) and regulatory compliance (HIPAA, SOC2) is preferred. Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors. Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment. Worked on a minimum of 2 AI/LLM projects from the beginning to the end with proven value for business. What Would Be Nice To Have Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a plus. Familiarity with MLOps practices for continuous integration, continuous deployment (CI/CD), and automated monitoring of AI models. What We Offer Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. Show more Show less

Job Family Data Science & Analysis (India) Travel Required Up to 25% Clearance Required None What You Will Do Design, train, and fine-tune advanced foundational models (text, audio, vision) using healthcare-and other relevant datasets, focusing on accuracy and context relevance. Collaborate with cross-functional teams (Business, engineering, IT) to seamlessly integrate AI/ML technologies into our solution offerings. Deploy, monitor, and manage AI models in a production environment, ensuring high availability, scalability, and performance. Continuously research and evaluate the latest advancements in AI/ML and industry trends to drive innovation. Ensure all AI solutions adhere to industry standards and regulatory requirements (i.e., HIPAA). Develop and maintain comprehensive documentation for AI models, including development, training, fine-tuning, and deployment procedures. Provide technical guidance and mentorship to junior AI engineers and team members. Collaborate with stakeholders to understand business needs and translate them into technical requirements for model fine-tuning and development. Select and curate appropriate datasets for fine-tuning foundational models to address specific use cases. Implement robust security protocols to protect sensitive data from breaches and unauthorized access. Ensure AI solutions can seamlessly integrate with existing systems and applications. What You Will Need Bachelors or master’s in computer science, Artificial Intelligence, Machine Learning, or a related field. 10+ year industry experience with minimum of 5 years of hands-on experience in AI/ML, with a demonstrable track record of training and deploying LLMs and other machine learning models. Strong proficiency in Python and familiarity with popular AI/ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.). Practical experience deploying and managing AI models in production environments, including expertise in serving and inference frameworks (Triton, TensorRT, VLLM, TGI, etc.). Experience in Voice AI applications, a solid understanding of healthcare data standards (FHIR, HL7, EDI) and regulatory compliance (HIPAA, SOC2) is preferred. Excellent problem-solving and analytical abilities, capable of tackling complex challenges and evaluating multiple factors. Exceptional communication and collaboration skills, enabling effective teamwork in a dynamic environment. Experience with cloud computing platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes) is a plus. Familiarity with MLOps practices for continuous integration, continuous deployment (CI/CD), and automated monitoring of AI models. Delivered a minimum of 3 to 5 AI/LLM medium to large scale projects of significant value. What We Offer What Would Be Nice to Have: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee. Show more Show less

The Host Networking team is responsible for millions of NICs in the fleet that powers all of Meta’s services and applications as well as the transport software for Meta’s Training and Inference Accelerators. This Software Engineer will be working on NICs and Transport solution addressing growing demands of the distributed fleet of accelerators for our AI workloads. Do you want to work on transport for large scale AI clusters? Do you want to develop innovative solutions to our challenges and ship them into production? This role on our host networking teams is for you! Software Engineer - Host Networking Responsibilities: Design and implement drivers (and/or Firmware) for (network) ethernet adapter functions, Transport stack for RDMA, control functions with the host/accelerators. Build tests and help build an integrated CI/CD pipeline for delivery of software Bringup the stack in simulation and emulation environments Hardware bringup and test in a scaled environment Minimum Qualifications: Proficient in programming in C/C++/Python Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Experience with Linux Kernel, especially drivers and network stack Working knowledge of transport stack particularly RDMA (RoCEv2) Hands on experience with debugging large scale systems Preferred Qualifications: Experience with Qemu, FPGA Emulation environment is a plus About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. Show more Show less

Job Title: AI Engineer Location: Gurgaon (On-site) Type: Full-Time Experience: 2–6 Years Role Overview We are seeking a hands-on AI Engineer to architect and deploy production-grade AI systems that power our real-time voice intelligence suite. You will lead AI model development, optimize low-latency inference pipelines, and integrate GenAI, ASR, and RAG systems into scalable platforms. This role combines deep technical expertise with team leadership and a strong product mindset. Key Responsibilities Build and deploy ASR models (e.g., Whisper, Wav2Vec2.0) and diarization systems for multi-lingual, real-time environments. Design and optimize GenAI pipelines using OpenAI, Gemini, LLaMA, and RAG frameworks (LangChain, LlamaIndex). Architect and implement vector database systems (FAISS, Pinecone, Weaviate) for knowledge retrieval and indexing. Fine-tune LLMs using SFT, LoRA, RLHF, and craft effective prompt strategies for summarization and recommendation tasks. Lead AI engineering team members and collaborate cross-functionally to ship robust, high-performance systems at scale. Preferred Qualification 2–6 years of experience in AI/ML, with demonstrated deployment of NLP, GenAI, or STT models in production. Proficiency in Python, PyTorch/TensorFlow, and real-time architectures (WebSockets, Kafka). Strong grasp of transformer models, MLOps, and low-latency pipeline optimization. Bachelor’s/Master’s in CS, AI/ML, or related field from a reputed institution (IITs, BITS, IIITs, or equivalent). What We Offer Compensation: Competitive salary + equity + performance bonuses Ownership: Lead impactful AI modules across voice, NLP, and GenAI Growth: Work with top-tier mentors, advanced compute resources, and real-world scaling challenges Culture: High-trust, high-speed, outcome-driven startup environment Show more Show less

Position Summary... What you'll do... Role: Staff, Data Scientist Experience: 8 - 15 years Location: Chennai About Team The data science team at Enterprise Business Services Pillar at Walmart Global Tech focuses on using the latest research in machine learning, statistics, and optimization to solve business problems. We mine data, distill insights, extract information, build analytical models, deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. In addition, we work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions. Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs will eventually benefit our operations ; our associates, helping Customers Save Money to Live Better. What You Will Do As a Staff Data Scientist for Walmart Global Tech, you'll have the opportunity to Drive data-derived insights across a wide range of retail ; Finance divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train AI/ML models for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Closely partners with the Senior Manager ; Director of Data Science to drive data science adoption in the domain Guides. data scientists, senior data scientists ; staff data scientists across multiple sub-domains to ensure on-time delivery of ML products Drive efficiency across the domain in terms of DS and ML best practices, ML Ops practices, resource utilization, reusability and multi-tenancy. Lead multiple complex ML products and guide senior tech leads in the domain in efficiently leading their products. Drive synergies across different products in terms of algorithmic innovation and sharing of best practices. Proactive identification of complex business problems that can be solved using advanced ML, finding opportunities and gaps in the current business domain Evaluates proposed business cases for projects and initiatives What You Will Bring Masters with > 10 years OR Ph.D. with > 8 years of relevant experience. Educational qualifications should be Computer Science/Statistics/Mathematics or a related area. Minimum 6 years of experience as a data science technical lead Ability to lead multiple data science projects end to end. Deep experience in building data science solution in areas like fraud prevention, forecasting, shrink and waste reduction, inventory management, recommendation, assortment and price optimization Deep experience in simultaneously leading multiple data science initiatives end to end from translating business needs to analytical asks, leading the process of building solutions and the eventual act of deployment and maintenance of them Strong experience in machine learning: Classification models, regression models, NLP, Forecasting, Unsupervised models, Optimization, Graph ML, Causal inference, Causal ML, Statistical Learning, experimentation ; Gen-AI In Gen-AI, it is desirable to have experience in embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Ability to scale and deploy data science solutions. Strong Experience with one or more of Python and R. Experience in GCP/Azure Strong Experience in Python, PySpark Google Cloud platform, Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms Hadoop (Hive, Map Reduce, HQL, Scala) Experience with GPU/CUDA for computational efficiency About Walmart Global Tech From entry-level to executive positions, Walmart provides limitless opportunities for growth, and career development. Walmart started small, with a single discount store and the simple philosophy of selling more for less. Today, we are a growing technology-enabled company founded on the same values as our first store. We establish clear expectations, empower associates to manage their work, and hold ourselves and one another to a high standard. Walmarts scale enables us to have an. No other company has the reach of Walmart, with 2.3 million associates worldwide and over 230 million weekly customers. Walmart is reshaping retail by investing in an expanding workforce. While technology is at the heart of our digital transformation, people are the reason we succeed and the force behind our innovations. We train our team in the skillsets of the future and bring in experts like you to help us grow. 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. Equal Opportunity Employer Walmart, Inc. is an Equal Opportunity 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. Belonging at Walmart 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 isand feels included, everyone wins. Approximately 90% of the U.S. population lives within 10 miles of a Walmart or Sam's Club our associates and customers reflect the makeup of all of America, as well as the 18 other countries where we operate. By making Walmart a welcoming place where all people feel like they belong, were able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate. Belonging: We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Associates: We want to ensure our associates worldwide are seen for their unique contributions, supported in their daily work, and connected to co-workers. Walmart is the U.S. largest private employer. Our policies, practices, and programs promote fairness and the same treatment for all associates. Everyone in our workforce has the same access to opportunities for growth, development, and advancement. We transparently report on our workforce twice a year and we have associate resource groups to further engagement, networking, connection and a sense of community. Business ; Customers: We provide an assortment of products and services that meet the unique needs of our customers and members while strengthening our connection to the communities we serve. We operate sensory friendly hours in all stores from 8 a.m. to 10 a.m. daily and offer Carolines Carts - a specially designed shopping cart for children and adults with disabilities. Our focus every day is how we can best serve our customers with quality food and goods at everyday low prices, which are 10-25% lower than those of competitors. Communities: Walmart thrives when we take a shared value approach, complementing business with philanthropy to strengthen the communities where we operate and prioritize issues that are meaningful to our business and all customers. Walmart is one of the most charitable companies in the Fortune 500. Last year we gave away over 8% profits through a combination of in-kind and cash gifts totaling more than $1.7 billion. 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... Rmz Millenia Business Park, No 143, Campus 1B (1St -6Th Floor), Dr. Mgr Road, (North Veeranam Salai) Perungudi , India R-2128987 Show more Show less

Description We’re seeking a hands-on AI/ML Engineer with deep expertise in large language models, retrieval-augmented generation (RAG), and cloud-native ML development on AWS. You'll be a key driver in building scalable, intelligent learning systems powered by cutting-edge AI and robust AWS infrastructure. If you’re passionate about combining NLP, deep learning, and real-world application at scale—this is the role for you. 4+ years of specialized experience in AI/ML is required. Core Skills & Technologies LLM Ecosystem & APIs • OpenAI, Anthropic, Cohere • Hugging Face Transformers • LangChain, LlamaIndex (RAG orchestration) Vector Databases & Indexing • FAISS, Pinecone, Weaviate AWS-Native & ML Tooling • Amazon SageMaker (training, deployment, pipelines) • AWS Lambda (event-driven workflows) • Amazon Bedrock (foundation model access) • Amazon S3 (data lakes, model storage) • AWS Step Functions (workflow orchestration) • AWS API Gateway & IAM (secure ML endpoints) • CloudWatch, Athena, DynamoDB (monitoring, analytics, structured storage) Languages & ML Frameworks • Python (primary), PyTorch, TensorFlow • NLP, RAG systems, embeddings, prompt engineering What You’ll Do • Model Development & Tuning o Designs architecture for complex AI systems and makes strategic technical decisions o Evaluates and selects appropriate frameworks, techniques, and approaches o Fine-tune and deploy LLMs and custom models using AWS SageMaker o Build RAG pipelines with LlamaIndex/LangChain and vector search engines • Scalable AI Infrastructure o Architect distributed model training and inference pipelines on AWS o Design secure, efficient ML APIs with Lambda, API Gateway, and IAM • Product Integration o Leads development of novel solutions to challenging problems o Embed intelligent systems (tutoring agents, recommendation engines) into learning platforms using Bedrock, SageMaker, and AWS-hosted endpoints • Rapid Experimentation o Prototype multimodal and few-shot learning workflows using AWS services o Automate experimentation and A/B testing with Step Functions and SageMaker Pipelines • Data & Impact Analysis o Leverage S3, Athena, and CloudWatch to define metrics and continuously optimize AI performance • Cross-Team Collaboration o Work closely with educators, designers, and engineers to deliver AI features that enhance student learning o Mentors junior engineers and provides technical leadership Who You Are • Deeply Technical: Strong foundation in machine learning, deep learning, and NLP/LLMs • AWS-Fluent: Extensive experience with AWS ML services (especially SageMaker, Lambda, and Bedrock) • Product-Minded: You care about user experience and turning ML into real-world value • Startup-Savvy: Comfortable with ambiguity, fast iterations, and wearing many hats • Mission-Aligned: Passionate about education, human learning, and AI for good Bonus Points • Hands-on experience fine-tuning LLMs or building agentic systems using AWS • Open-source contributions in AI/ML or NLP communities • Familiarity with AWS security best practices (IAM, VPC, private endpoints) Show more Show less

Join us as a Software Engineer This is an opportunity for a driven Software Engineer to take on an exciting new career challenge Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority It’s a chance to hone your existing technical skills and advance your career We're offering this role at assistant vice president level What you'll do We'll look to you to engineer and maintain innovative, customer centric, high performance, secure and robust solutions. You’ll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform. You’ll Also Be Producing complex and critical software rapidly and of high quality which adds value to the business Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning Collaborating to optimise our software engineering capability Designing, producing, testing and implementing our working code Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations The skills you'll need To take on this role, you’ll need at least eight years of experience in software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers. You'll bring experience of designing and implementing scalable and performant components using React and TypeScript, as well as the ability to utilise SCSS or SASS with BEM methodology and styled-components for efficient styling. You’ll Also Need Experience of managing the application state using Redux and MobX, demonstrating an understanding of Atomic store managers A strong understanding of JavaScript, Promises, and concurrency Advanced knowledge of TypeScript, including generics, inheritance, and inference Proficiency in building reusable and scalable application architectures Familiarity with web accessibility standards Show more Show less

Job Description We are hiring a Computer Vision Engineer who is not only skilled in the theoretical aspects of AI/ML but can demonstrate strong coding capabilities, especially in Python , through hands-on problem-solving. This role is critical to real-time, production-grade system development and requires practical experience with Triton Inference Server , NVIDIA DeepStream , and end-to-end model deployment. Key Responsibilities Develop and deploy computer vision applications for real-world use cases like object detection , action recognition , and multi-camera human tracking . Write robust, testable Python code and implement real-time inference pipelines. Optimize ML models using Triton Inference Server and integrate them with NVIDIA DeepStream SDK . Troubleshoot model deployment issues and tune models for production scalability. Collaborate with ML engineers, data scientists, and DevOps for solution delivery. Ensure deliverables meet quality benchmarks through code reviews and performance analysis. Required Qualifications Minimum 4 years of solid hands-on experience in Python – must be able to solve real coding problems without assistance. At least 3 years of experience working in computer vision projects. Deep expertise in object detection , action recognition , and human tracking from multiple cameras . Strong knowledge of Machine Learning concepts : Overfitting, Underfitting, TP/FN, Precision, Recall, etc. Proven experience with Triton Inference Server and NVIDIA DeepStream for real-time deployment. Familiarity with NumPy , Pandas , Scikit-learn (sklearn) , and related ML libraries. Clear and confident communicator – must be able to explain technical solutions and assessment answers. Additional Information Immediate or short notice availability preferred. Must have strong coding skills in Python – this will be a key focus area during screening and assessments. Show more Show less

About BeGig BeGig is the leading tech freelancing marketplace. We empower innovative, early-stage, non-tech founders to bring their visions to life by connecting them with top-tier freelance talent. By joining BeGig, you're not just taking on one role—you’re signing up for a platform that will continuously match you with high-impact opportunities tailored to your expertise. Your Opportunity Join our network as a Computer Vision Engineer and help startups build AI systems that understand, analyze, and act on visual data. From object detection and facial recognition to medical imaging and video analytics, you'll work on real-world use cases that require state-of-the-art computer vision solutions. Role Overview As a Computer Vision Engineer, you will: Design, train, and deploy computer vision models for specific business applications Work with image, video, or 3D data to extract insights and automate workflows Collaborate with teams to integrate CV models into scalable products What You’ll Do Build and fine-tune models for classification, detection, segmentation, tracking, or OCR Use libraries like OpenCV, PyTorch, TensorFlow, Detectron2, or YOLO Preprocess and augment datasets to improve model robustness Deploy models using APIs, edge devices, or cloud-based inference tools Monitor performance and continuously optimize for accuracy and speed Technical Requirements 3+ years of experience in computer vision or deep learning Proficient in Python and frameworks like PyTorch, TensorFlow, or Keras Experience with OpenCV, scikit-image, and image/video processing pipelines Familiarity with model deployment using ONNX, TensorRT, or cloud services Bonus: experience with real-time CV, synthetic data, or 3D vision What We’re Looking For A hands-on developer who can take vision-based problems from idea to production A freelancer who enjoys working with data-rich products and diverse use cases Someone who can collaborate with both technical and product teams to deliver real impact Why Join Us Work on challenging computer vision projects across industries Fully remote and flexible freelance opportunities Get matched with future roles in CV, AI, and edge deployment Join a growing network solving real-world problems with intelligent vision systems Ready to bring vision to life? Apply now to become a Computer Vision Engineer with BeGig. Show more Show less

FairAds AI is at the forefront of revolutionizing advertising. We're seeking a highly motivated Machine Learning Engineer / Deep Learning Engineer Intern to join our pioneering team for an immediate start in Mumbai, Maharashtra, India. This is a paid, in-person position . You'll dive deep into developing and deploying, DPDP-compliant ML/DL models for real-time analytics. This is a unique opportunity to work on impactful projects involving Computer Vision, real-time data processing, and privacy-preserving AI. What You'll Help Build & Responsibilities * Develop & Implement ML/DL Models: Design, train, and fine-tune models like YOLO, DeepSORT, and DeepFace for tasks such as impression counting, dwell time analysis, and anonymized demographic analysis. * Advanced Computer Vision Tasks: Apply your OpenCV and CV knowledge for object detection, tracking, pose estimation, and image segmentation on real-world video streams. * Data Preprocessing & Management: Handle raw camera data, including cleaning, annotation, and implementing anonymization techniques (e.g., blurring, feature embeddings) to ensure DPDP Act compliance. Manage datasets using tools like DVC or cloud storage. * Edge Computing & Deployment: Optimize and deploy models on edge devices (e.g., NVIDIA Jetson, Raspberry Pi), managing real-time processing pipelines and considering power/thermal constraints. * Real-Time Analytics: Design streaming data pipelines for video feeds and optimize inference speed (e.g., using TensorRT) to deliver low-latency KPIs. * Privacy by Design: Actively contribute to building privacy-preserving ML pipelines, understanding DPDP Act principles (data minimization, consent, purpose limitation) and implementing secure data handling. * Containerization & CI/CD: Utilize Docker to package and deploy models consistently. Contribute to CI/CD pipelines for automated testing and deployment. Core Technical Skills We're Looking For * Python Programming: Proficiency in Python for ML/DL development, including libraries like PyTorch, TensorFlow, OpenCV, NumPy, Pandas, and Matplotlib. Ability to write modular, reusable code. * Machine Learning & Deep Learning: Strong understanding of supervised/unsupervised learning, neural networks (CNNs), architectures (YOLO, ResNet, ViT), transfer learning, loss functions, optimizers, and regularization. * Computer Vision: Expertise with OpenCV for image/video processing, object detection, tracking, and pose estimation. Experience handling real-time video streams. * Data Preprocessing: Skills in data cleaning, transformation, annotation, and implementing anonymization techniques. Key Domain-Specific & Deployment Skills Needed * Edge Computing: Experience or strong interest in optimizing models (pruning, quantization) for resource-constrained edge hardware (NVIDIA Jetson, Raspberry Pi) and managing real-time edge processing. * Real-Time Analytics: Ability to design streaming data pipelines and optimize for low-latency inference. * Docker & Containerization: Writing Dockerfiles and managing containers for ML model deployment. * Edge Device Deployment: Configuring edge hardware (CUDA, cuDNN), managing cross-compilation, monitoring, and potentially OTA updates. * Version Control & CI/CD (Git, GitHub Actions/Jenkins): Experience with versioning code and models (MLflow, DVC) and automation. * Cloud Integration (Optional but valued): Familiarity with AWS, Azure, or GCP for aggregating anonymized KPIs or model training. API development (Flask/FastAPI) is a plus. Soft Skills for Success * Problem-Solving & Analytical Thinking: Ability to tackle complex challenges in model performance. * Attention to Detail: Meticulous approach to data handling, model accuracy, and compliance requirements. * Pro Vibe Coder: You're someone who can skillfully navigate and debug code, especially code that might have been initially generated or assisted by AI, ensuring its robustness and efficiency. What We Offer * Pioneering Projects: Work on groundbreaking analytics solutions using advanced AI and edge computing. * Hands-on Experience: Gain invaluable experience with the full lifecycle of ML models – from conception to deployment on edge devices. * Mentorship: Learn from experienced professionals in AI, Computer Vision, and privacy-preserving technologies. * Impactful Contribution: Directly contribute to building a more intelligent and compliant ecosystem. Show more Show less

Overview Jhpiego is a nonprofit global health leader and Johns Hopkins University affiliate that is saving lives, improving health, and transforming futures. We partner with governments, health experts, and local communities to build the skills and systems that guarantee a healthier future for women and families. Jhpiego translates the best science and practices into moments of care that can mean the difference between life and death for women and families. The moment a woman gives birth, the moment a midwife helps a newborn to breathe. Through our partnerships, we are revolutionizing health care for the world’s most disadvantaged and vulnerable people. In India, Jhpiego works across various states in close collaboration with national and state governments, providing technical assistance in the areas of family planning, maternal and child health, strengthening human resources for health, and non-communicable diseases. These programs are funded by USAID, the Bill & Melinda Gates Foundation, the David & Lucile Packard Foundation, GIZ, the Children’s Investment Fund Foundation (CIFF), and other anonymous donors. We are looking for a highly motivated and detail-oriented individual to assist in our research and learning efforts for the RISE (Reaching Impact Saturation and Epidemic Control) project. The successful candidate will work under the Senior Monitoring, Evaluation, Research, and Learning Officer, focusing on quantifying the impact of our programs on infectious disease outbreaks through rigorous mathematical/epidemiological modeling and advanced statistical techniques. Responsibilities End-to-end outbreak modelling – independently code, calibrate and run basic compartmental, agent-based models or other statistical models (e.g., SIR/SIRS/SEIR, time-series regressions) to estimate outbreaks averted, life saves from specific interventions and forecast near-term trends. Use counterfactual scenarios to quantify the impact of interventions by comparing modeled outcomes with and without specific response strategies and simulate the impact of resource allocation on outbreak outcomes to inform resource planning. Data acquisition & cleaning – source routine surveillance and programme datasets, write reproducible scripts to clean/merge them, and document data dictionaries. Incorporate demographic factors (e.g., age, comorbidities, population density) and epidemiological data (e.g., case fatality rates, transmission rates) into models to improve the accuracy of lives saved estimates for specific populations and adjust models to account for India-specific health system constraints and regional variations in outbreak dynamics Parameter estimation & uncertainty analysis – fit models to data with likelihood-based or simple Bayesian methods; produce confidence/credible intervals and sensitivity checks. Regular analytic reports – generate clear tables, graphs, and slide decks that translate model outputs into actionable insights for programme managers and donors. Generate reports and visualizations summarizing lives saved and infections averted, tailored for policymakers, donors, and program teams Conduct analytics (Bayesian/MLE calibration, uncertainty quantification, ensemble forecasting) and translate results into dashboards and briefs for programme teams and donors. Evidence scans – conduct rapid literature reviews on modelling methods and intervention impact; keep a living repository of key parameters and priors. Perform systematic literature reviews and landscape analyses of outbreak-response interventions. Draft manuscripts, policy briefs, and donor reports; shepherd them through peer review. Tool development & maintenance – build and update simple R Markdown / Python notebooks or Shiny/Dash dashboards so non-technical colleagues can explore scenarios. Documentation & reproducibility – maintain well-commented code, version control (Git), and workflow descriptions to ensure analyses can be audited or handed over smoothly. Team liaison & capacity sharing – explain modelling assumptions and outputs to epidemiologists, programme staff, and leadership; train program staff on interpreting lives saved estimates and using simplified impact modeling tools for decision-making Collaboration with modelling groups: Engage with national modeling consortia (e.g., Indian Council of Medical Research, WHO, or academic groups) to align lives saved estimates with standardized methodologies, share best practices and contribute to collaborative modeling efforts to estimate the cumulative impact of multi-partner interventions during large-scale outbreaks. Emergency surge support – update models and situation summaries during outbreaks as part of the duty rota. Other duties as assigned by your supervisor Required Qualifications Master’s degree (completed or in final semester) in Biostatistics, Epidemiology, Applied Mathematics, Data Science, Computer Science, or related field. Up to 2 years’ relevant experience or strong internship/thesis work involving infectious-disease modelling, statistical analysis, or data science. Working knowledge of R or Python for data analysis and visualisation; familiarity with version control (Git/GitHub). Solid grounding in statistical inference (regression, likelihood-based methods) and basic compartmental modelling concepts (e.g., SIR). Ability to explain quantitative findings clearly in written and verbal English; strong organisational skills and attention to detail. Proven teamwork mindset and willingness to learn new methods quickly. Desirable Exposure to Bayesian tools (Stan, JAGS), geospatial/GIS packages, or dashboard frameworks (Shiny, Dash, Power BI). Coursework or project experience in infectious-disease epidemiology, vaccine impact evaluation, or health-economic modelling. Experience cleaning large relational datasets (SQL, PostgreSQL) or using cloud notebooks (JupyterHub, RStudio Server). One or more publications, preprints, or conference posters based on quantitative research. Familiarity with global health and Indian public healthcare delivery systems. Jhpiego is an equal opportunity employer and offers a highly dynamic and enabling work environment. Jhpiego offers competitive salaries and a comprehensive employee benefits package. Women candidates are encouraged to apply. Due to the high volume of applications, only shortlisted applicants will receive a response from Jhpiego HR RECRUITMENT SCAMS & FRAUD WARNING Jhpiego has become aware of scams involving false job offers. Please be advised: Recruiters will never ask for a fee during any stage of the recruitment process. All active jobs are advertised directly on our careers page. Official Jhpiego emails will always arrive from @Jhpiego.org email address. Please report any suspicious communications to Info@jhpiego.org. Show more Show less

About Hakkoda Hakkoda, an IBM Company, is a modern data consultancy that empowers data driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and give them the opportunity to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, India and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly-growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. We are seeking an exceptional and highly motivated Lead Data Scientist with a PhD in Data Science, Computer Science, Applied Mathematics, Statistics, or a closely related quantitative field, to spearhead the design, development, and deployment of an automotive OEM’s next-generation Intelligent Forecast Application. This pivotal role will leverage cutting-edge machine learning, deep learning, and statistical modeling techniques to build a robust, scalable, and accurate forecasting system crucial for strategic decision-decision-making across the automotive value chain, including demand planning, production scheduling, inventory optimization, predictive maintenance, and new product introduction. The successful candidate will be a recognized expert in advanced forecasting methodologies, possess a strong foundation in data engineering and MLOps principles, and demonstrate a proven ability to translate complex research into tangible, production-ready applications within a dynamic industrial environment. This role demands not only deep technical expertise but also a visionary approach to leveraging data and AI to drive significant business impact for a leading automotive OEM. Role Description Strategic Leadership & Application Design: Lead the end-to-end design and architecture of the Intelligent Forecast Application, defining its capabilities, modularity, and integration points with existing enterprise systems (e.g., ERP, SCM, CRM). Develop a strategic roadmap for forecasting capabilities, identifying opportunities for innovation and the adoption of emerging AI/ML techniques (e.g., generative AI for scenario planning, reinforcement learning for dynamic optimization). Translate complex business requirements and automotive industry challenges into well-defined data science problems and technical specifications. Advanced Model Development & Research: Design, develop, and validate highly accurate and robust forecasting models using a variety of advanced techniques, including: Time Series Analysis: ARIMA, SARIMA, Prophet, Exponential Smoothing, State-space models. Machine Learning: Gradient Boosting (XGBoost, LightGBM), Random Forests, Support Vector Machines. Deep Learning: LSTMs, GRUs, Transformers, and other neural network architectures for complex sequential data. Probabilistic Forecasting: Quantile regression, Bayesian methods to capture uncertainty. Hierarchical & Grouped Forecasting: Managing forecasts across multiple product hierarchies, regions, and dealerships. Incorporate diverse data sources, including historical sales, market trends, economic indicators, competitor data, internal operational data (e.g., production schedules, supply chain disruptions), external events, and unstructured data. Conduct extensive exploratory data analysis (EDA) to identify patterns, anomalies, and key features influencing automotive forecasts. Stay abreast of the latest academic researchand industry advancements in forecasting, machine learning, and AI, actively evaluating and advocating for their practical application within the OEM. Application Development & Deployment (MLOps): Architect and implement scalable data pipelines for ingestion, cleaning, transformation, and feature engineering of large, complex automotive datasets. Develop robust and efficient code for model training, inference, and deployment within a production environment. Implement MLOps best practices for model versioning, monitoring, retraining, and performance management to ensure the continuous accuracy and reliability of the forecasting application. Collaborate closely with Data Engineering, Software Development, and IT Operations teams to ensure seamless integration, deployment, and maintenance of the application. Performance Evaluation & Optimization: Define and implement rigorous evaluation metrics for forecasting accuracy (e.g., MAE, RMSE, MAPE, sMAPE, wMAPE, Pinball Loss) and business impact. Perform A/B testing and comparative analyses of different models and approaches to continuously improve forecasting performance. Identify and mitigate sources of bias and uncertainty in forecasting models. Collaboration & Mentorship: Work cross-functionally with various business units (e.g., Sales, Marketing, Supply Chain, Manufacturing, Finance, Product Development) to understand their forecasting needs and integrate solutions. Communicate complex technical concepts and model insights clearly and concisely to both technical and non-technical stakeholders. Provide technical leadership and mentorship to junior data scientists and engineers, fostering a culture of innovation and continuous learning. Potentially contribute to intellectual property (patents) and present findings at internal and external conferences. Qualifications Education: PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Operations Research, or a closely related quantitative field. Experience: 5+ years of hands-on experience in a Data Scientist or Machine Learning Engineer role, with a significant focus on developing and deploying advanced forecasting solutions in a production environment. Demonstrated experience designing and developing intelligent applications, not just isolated models. Experience in the automotive industry or a similar complex manufacturing/supply chain environment is highly desirable. Technical Skills: Expert proficiency in Python (Numpy, Pandas, Scikit-learn, Statsmodels) and/or R. Strong proficiency in SQL. Machine Learning/Deep Learning Frameworks: Extensive experience with TensorFlow, PyTorch, Keras, or similar deep learning libraries. Forecasting Specific Libraries: Proficiency with forecasting libraries like Prophet, Statsmodels, or specialized time series packages. Data Warehousing & Big Data Technologies: Experience with distributed computing frameworks (e.g., Apache Spark, Hadoop) and data storage solutions (e.g., Snowflake, Databricks, S3, ADLS). Cloud Platforms: Hands-on experience with at least one major cloud provider (Azure, AWS, GCP) for data science and ML deployments. MLOps: Understanding and practical experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines). Data Visualization: Proficiency with tools like Tableau, Power BI, or similar for creating compelling data stories and dashboards. Analytical Prowess: Deep understanding of statistical inference, experimental design, causal inference, and the mathematical foundations of machine learning algorithms. Problem Solving: Proven ability to analyze complex, ambiguous problems, break them down into manageable components, and devise innovative solutions. Preferred Qualifications Publications in top-tier conferences or journals related to forecasting, time series analysis, or applied machine learning. Experience with real-time forecasting systems or streaming data analytics. Familiarity with specific automotive data types (e.g., telematics, vehicle sensor data, dealership data, market sentiment). Experience with distributed version control systems (e.g., Git). Knowledge of agile development methodologies. Soft Skills Exceptional Communication: Ability to articulate complex technical concepts and insights to a diverse audience, including senior management and non-technical stakeholders. Collaboration: Strong interpersonal skills and a proven ability to work effectively within cross-functional teams. Intellectual Curiosity & Proactiveness: A passion for continuous learning, staying ahead of industry trends, and proactively identifying opportunities for improvement. Strategic Thinking: Ability to see the big picture and align technical solutions with overall business objectives. Mentorship: Desire and ability to guide and develop less experienced team members. Resilience & Adaptability: Thrive in a fast-paced, evolving environment with complex challenges. Benefits Health Insurance Paid leave Technical training and certifications Robust learning and development opportunities Incentive Toastmasters Food Program Fitness Program Referral Bonus Program Hakkoda is committed to fostering diversity, equity, and inclusion within our teams. A diverse workforce enhances our ability to serve clients and enriches our culture. We encourage candidates of all races, genders, sexual orientations, abilities, and experiences to apply, creating a workplace where everyone can succeed and thrive. Ready to take your career to the next level? 🚀 💻 Apply today👇 and join a team that’s shaping the future!! Hakkoda is an IBM subsidiary which has been acquired by IBM and will be integrated in the IBM organization. Hakkoda will be the hiring entity. By Proceeding with this application, you understand that Hakkoda will share your personal information with other IBM subsidiaries involved in your recruitment process, wherever these are located. More information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here. Show more Show less

8+ years of experience in Data Science & AI, with hands-on expertise in ML, Python, and SQL. Exposure to Generative AI — Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Experience in end-to-end ML deployment, including working with either Azure or AWS or GCP or Databricks. Proven ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. Deep expertise in statistics, probability, stochastic processes, and causal inference. Strong communicator who can explain AI concepts to non-technical stakeholders. Experience with big data tools (Hadoop, Hive, PySpark) and ML pipelines. Show more Show less

We are looking for a highly skilled Data Scientist with 2-3 years of experience who has worked extensively with Large Language Models (LLMs) and retrieval methods. You will be responsible for building, fine-tuning, and deploying AI models to solve complex NLP challenges. The ideal candidate has hands-on experience in finetuning, optimizing, and implementing LLM-based solutions in real-world applications. Typical work week look like:- Research, fine-tune, and deploy LLMs and other Transformer-based architectures for various NLP tasks. Design and implement custom training pipelines for domain-specific models. Optimize model performance, including prompt engineering, quantization, distillation, and retrieval-augmented generation (RAG). Work with Hugging Face, OpenAI, and other open source foundational model APIs to build scalable solutions. Develop and maintain data pipelines for model training and evaluation. Collaborate with engineering teams to integrate AI models into production systems. Conduct experiments and analyze results to continuously improve model accuracy and efficiency. Stay up to date with cutting-edge advancements in generative AI, LLMs, and NLP. Our ideal candidate should have:- 2+ years of hands-on experience in data science, with a focus on NLP and deep learning. Strong knowledge of Transformer architectures (BERT, GPTs, T5, LLaMA, etc.). Experience in fine-tuning and deploying LLMs using PyTorch, TensorFlow. Proficiency with Hugging Face Transformers, LangChain, OpenAI API, or similar frameworks. Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow). Experience with vector databases (Pinecone, ChromaDB) and retrieval-augmented generation (RAG). Knowledge of cloud platforms (AWS, GCP, Azure) and ML model deployment strategies. Familiarity with MLOps practices, including model monitoring, versioning, and CI/CD for ML. Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications Experience with multi-modal models (e.g., Whisper, DALL·E). Exposure to LLM inference optimization techniques like quantization, pruning, and knowledge distillation. Experience working on chatbots, conversational AI, or document intelligence solutions. What you can expect from ORI:- Opportunity to work on cutting-edge AI/ML projects. A collaborative, innovation-driven work environment. Passion & happiness in the workplace with great people & open culture with amazing growth opportunities. An ecosystem where leadership is fostered which builds an environment where everyone is free to take necessary actions to learn from real experiences. Freedom to pursue your ideas and tinker If you are passionate about LLMs and pushing the boundaries of AI, we’d love to hear from you! Show more Show less

This role is for one of the Weekday's clients Min Experience: 5 years Location: Bangalore, India JobType: full-time As an AI Engineer, you will play a key role in designing, developing, and deploying AI solutions across our product portfolio. You will work closely with data scientists, machine learning engineers, software developers, and product managers to bring AI-powered features from concept to production. This role requires strong theoretical knowledge in artificial intelligence, as well as hands-on experience in building scalable AI systems. Requirements Key Responsibilities: Design, develop, and deploy AI models and solutions to solve real-world problems. Collaborate with cross-functional teams to integrate AI capabilities into products and services. Evaluate and improve the performance of AI models through continuous experimentation and iteration. Conduct research and stay up-to-date on the latest advancements in artificial intelligence, deep learning, and related fields. Build and optimize data pipelines to support training and inference of AI models. Implement MLOps best practices to enable scalable model training, monitoring, and deployment. Analyze complex datasets to extract actionable insights and train custom models as required. Translate business problems into AI/ML problems and identify the right tools, algorithms, or models to solve them. Document model design decisions, methodologies, and processes for internal and external stakeholders. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 5-9 years of industry experience in AI/ML model development and deployment. Strong proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, Keras, or Scikit-learn. Deep understanding of machine learning and AI concepts including supervised/unsupervised learning, deep learning, reinforcement learning, and NLP. Experience with cloud platforms (AWS, Azure, or GCP) and containerization tools like Docker and Kubernetes. Strong problem-solving and analytical skills with a focus on delivering measurable results. Excellent communication and collaboration skills to work in a dynamic, cross-functional environment. Preferred Qualifications: Publications or contributions to open-source AI projects. Experience with AI model interpretability, bias mitigation, and ethical AI design. Familiarity with large language models (LLMs), generative AI, and vector databases Show more Show less

Company Description Silverpush is at the forefront of AI-powered video advertising, delivering sophisticated ad solutions that empower brands to achieve impactful campaigns within a privacy-centric environment. Operating across 30+ countries, we specialize in creating contextually relevant advertising experiences that drive genuine engagement and conversion. Our commitment to innovation and technological advancement enables us to navigate the evolving digital landscape, providing tools necessary to connect with audiences globally. We are dedicated to fostering a culture of creativity and excellence, driving the future of ad tech. Role Description This is a full-time on-site role for a Data Scientist, located in Gurgaon. The ideal candidate will combine strong technical expertise with an AI-driven mindset, leveraging both traditional data science methods and cutting-edge AI tools to drive business impact. This role requires someone who can work independently while collaborating effectively across cross-functional teams to solve complex business problems. Key Responsibilities Analyze complex datasets to identify trends, patterns, and correlations, and extract actionable insights that can inform strategic decisions. Design and build predictive models using statistical and machine learning techniques (e.g., regression, classification, XGBoost, clustering). Research and develop analysis and forecasting and optimization methods across ads performance, content performance, and live experiments. Build and maintain automated data pipelines and analytical workflows Research and prototype using cutting-edge LLM technologies and generative AI to unlock new opportunities in personalization, targeting, and automation. Stay current with emerging AI technologies and evaluate their potential application to business problems Communicate complex findings to non-technical audiences through compelling visualizations and presentations Provide strategic recommendations based on data-driven insights to influence key business decisions Design and execute A/B tests and experiments to measure impact of business initiatives Work with engineering teams to productise models and ensure scalable deployment Maintain code quality standards and follow best practices for version control and documentation Optimize model performance and monitor deployed solutions for accuracy and reliability Ideal Candidate Profile 3+ years of experience in Data Science, ideally in advertising or media-related domains. Degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Masters in DS). Deep experience working with large-scale structured and unstructured data. Strong foundation in machine learning and statistical modeling. Familiar with building and deploying models in production (basic MLOps knowledge). Comfortable with NLP and computer vision, and interested in applying LLMs to real-world use cases. Familiarity with generative AI tools and prompt engineering for analytical workflows Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Strong problem-solving skills and ability to work independently Technical Skills Languages & Tools : Python, PySpark, SQL ML Techniques : Regression, Classification, Clustering, Decision Trees, Random Forests, XGBoost, SVM LLM Tech : Familiarity with tools like OpenAI, Hugging Face, LangChain, and prompt engineering Data Infrastructure : ETL tools, Postgres, BigQuery/Snowflake, S3/GCP Statistical Analysis : A/B testing, experiment design, causal inference Show more Show less

Job Title: Computer Vision / Deep Learning Engineer Location: Hyderabad, India Experience: Minimum 2 years Employment Type: Full-time Position Overview: We are seeking a Computer Vision / Deep Learning Engineer to join our innovative and fast-paced R&D team. In this role, you will develop cutting-edge vision algorithms for real-time military applications . From early-stage prototyping to embedded system deployment, you will help drive solutions that perform reliably in dynamic and challenging environments. Key Responsibilities: Design and implement deep learning and traditional computer vision algorithms for object detection, segmentation , and multi-object tracking . Translate academic research into scalable, real-world applications for embedded and resource-constrained systems . Develop complete pipelines including data acquisition, model training, evaluation , and deployment . Collaborate with embedded engineers and robotics teams to fine-tune models for field conditions. Participate in agile development practices —sprint planning, code reviews, and integration testing. Continuously optimize models for accuracy, robustness , and low-latency inference on edge devices. Core Technical Skills: Strong programming skills in Python and C++ . Proficient in PyTorch, TensorFlow, OpenCV , and other related libraries. Solid knowledge of image classification, object detection, segmentation, and tracking techniques. Experience with embedded AI deployments on platforms like NVIDIA Jetson, ARM Cortex , etc. Familiarity with performance optimization , quantization , and model pruning for edge inference. Experience with version control (Git) and CI/CD pipelines . Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Electronics, Artificial Intelligence , or a related field. Minimum 2 years of hands-on experience in computer vision and deep learning . Strong understanding of model evaluation metrics , dataset management , and reproducibility best practices . Show more Show less

Job Title: IOS Mobile Application Developer Location: Hyderabad Role We are seeking a highly skilled iOS Developer to lead the development of a native iPhone application for intelligent IP camera configuration, video streaming, AI-driven object detection/classification, and real-time augmented overlays. You will work closely with our hardware and AI teams to deliver a cutting-edge mobile solution that integrates video, geolocation, and on-device AI inference. Key Responsibilities Develop a native iOS app to connect and configure IP camera over factory default Wi-Fi settings (hotspot mode). Enable RTSP streaming from the camera and display live video feed on the iPhone. Implement video recording functionality with dynamic folder selection and clip segmentation (5-minute duration). Integrate GPS module to geotag each video clip with the latest detected coordinates. Provide options for cloud sync to Google Drive and iCloud Drive. Deploy and optimize AI models (object detection and classification) using iPhone's GPU/NPU (CoreML/Metal). Integrate a proprietary depth-sensing algorithm and overlay depth + object classification on the live video using alpha channels. Implement support for over-the-air app updates via App Store deployment. Provide support for downloading camera firmware SDKs, applying patches, and updating camera firmware securely through the app. Required Skills And Qualifications 5+ years of iOS app development experience using Swift and Objective-C. Strong experience with AVFoundation, RTSP streaming, and video recording workflows. Proven expertise in CoreML, Metal, or TensorFlow Lite for iOS. Experience integrating GPS and geotagging capabilities. Solid understanding of cloud storage APIs like Google Drive and iCloud Drive. Familiarity with iOS background processing, file handling, and camera SDK integration. Strong UI/UX skills to render overlays (e.g., bounding boxes, labels, depth info) on real-time video. Experience publishing apps to the App Store and handling OTA updates. Knowledge of firmware update pipelines or SDK patching is a strong plus. Preferred Qualifications Experience with on-device AI model inference optimization. Familiarity with OpenCV, Core Location, SwiftUI, or ARKit is a plus. Prior experience with IoT/embedded camera systems and firmware integration. Ability to write modular, testable, and scalable code. Skills: core animation,ios frameworks,application,agile methodologies,core data,restful apis,core graphics,git,swift,core text,objective-c,automated testing,ios,design,mobile Show more Show less

Company Description Nykaa is a digitally native, consumer-tech company that offers a wide range of beauty, personal care and fashion products. Since its inception in 2012, Nykaa has disrupted the beauty retail market in India and captured the hearts of millions of customers. Besides offering engaging and educational content, we have diversified our offerings through other online platforms like Nykaa Fashion, Nykaa Man, and Superstore. Role: This is a full-time on-site role for a Machine Learning Engineer/Scientist in Bengaluru. As a Machine Learning Engineer/Scientist, you will design and deploy machine learning models to solve complex business problems. You will be responsible for developing and implementing statistical and machine learning algorithms, managing large datasets, and working collaboratively with cross-functional teams. You will be working on the interesting problem areas such as Personalization, Customer Growth, Demand Forecasting & Inventory Management and other DS problems. Key Skills Minimum 3 years experience Strong background in statistics, machine learning and deep learning Expertise in pattern recognition, neural networks, and ML algorithms Proficiency in statistical tools, Python programming language along with ML libraries (Scikit-Learning, XGBoost and LightGBM etc) Exposure to DL frameworks such as Keras, Tensorflow and Pytorch Have a sound understanding of modeling pipelines, ML architecture and MLOps Excellent problem-solving skills and attention to detail Ability to work collaboratively in a fast-paced environment Experience with Causal Inference and Experimentation would be an advantage Experience in Consumer tech experience would be a plus Experience on Search, Ranking, Relevance, Recommendations is highly preferred Show more Show less

hackajob is collaborating with Wipro to connect them with exceptional tech professionals for this role. Title: Data Science Lead Requisition ID: 55339 City: Chennai Country/Region: IN Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. Job Description Role Purpose The purpose of the role is to create exceptional architectural solution design and thought leadership and enable delivery teams to provide exceptional client engagement and satisfaction. Mandatory Skills Data Science, ML, DL, Python for Data Science, Tensorflow, Pytorch, Django, SQL, MLOps Preferred Skills NLP, Gen AI, LLM, PowerBI, Advanced Analytics, Banking exposure ͏ Strong understanding of Data Science, machine learning and deep learning principles and algorithms. Proficiency in programming languages such as Python, TensorFlow, and PyTorch. Experienced data scientist who can using python build various AI models for banking product acquisition, deepening, retention. Drive data driven personalisation, customer segmentation, in accordance with banks data privacy and security standards Expert in applying ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Optimize model performance and scalability for real-time inference and deployment. Experiment with different hyperparameters and model configurations to improve AI model quality. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards Working knowledge ane experience in ML Ops is a must and engineering background is preferred Excellent command of data warehousing concepts and SQL Knowledge of personal banking products is a plus Mandatory Skills: AI Cognitive . Experience: 8-10 Years . Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome. Show more Show less

About Cartesia Our mission is to build the next generation of AI: ubiquitous, interactive intelligence that runs wherever you are. Today, not even the best models can continuously process and reason over a year-long stream of audio, video and text—1B text tokens, 10B audio tokens and 1T video tokens—let alone do this on-device. We're pioneering the model architectures that will make this possible. Our founding team met as PhDs at the Stanford AI Lab, where we invented State Space Models or SSMs, a new primitive for training large-scale foundation models. Our team combines deep expertise in model innovation and systems engineering paired with a design-minded product engineering team to build and ship cutting edge models and experiences. We're funded by leading investors at Index Ventures and Lightspeed Venture Partners, along with Factory, Conviction, A Star, General Catalyst, SV Angel, Databricks and others. We're fortunate to have the support of many amazing advisors, and 90+ angels across many industries, including the world's foremost experts in AI. Role Responsibilities We’re opening our first ever office in India, and looking to hire for a Software Engineer to advance our mission of building real-time multimodal intelligence. In this role, you'll: Design and build low latency, scalable, and reliable model inference and serving stack for our cutting edge SSM foundation models Work closely with our research team and product engineers to translate cutting edge research into incredible products Build highly parallel, high quality data processing and evaluation infrastructure for foundation model training You'll have significant autonomy to shape our products and directly impact how cutting-edge AI is applied across various devices and applications. What We’re Looking For Given the scale and difficulty of problems we work on, we value strong engineering skills at Cartesia. Strong engineering skills, comfortable navigating complex codebases and monorepos. An eye for craft and writing clean and maintainable code. You're comfortable diving into new technologies and can quickly adapt your skills to our tech stack (Go and Python on the backend, Next.js for the frontend). Experience building large-scale distributed systems with high demands on performance, reliability, and observability. Technical leadership with the ability to execute and deliver zero-to-one results amidst ambiguity. [bonus] Background in or experience working with machine learning and generative models. Even if you don’t meet every requirement above, we'd encourage you to apply. Our culture 🏢 We’re an in-person team based out of San Francisco and Bangalore. We love being in the office, hanging out together and learning from each other everyday. 🚢 We ship fast. All of our work is novel and cutting edge, and execution speed is paramount. We have a high bar, and we don’t sacrifice quality and design along the way. 🤝 We support each other. We have an open and inclusive culture that’s focused on giving everyone the resources they need to succeed. Our perks 🍽 Lunch, dinner and snacks at the office. 🏥 Stipend to cover medical insurance 🦖 Your own personal Yoshi. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing... Designing and Implementing ML Model pipelines (Batch and real-time) for efficient model training and serving/inference. Implementing and analyzing the performance of advanced algorithms (Specifically Deep Learning based ML Models). Solving the model inferencing failures/fallouts. Optimizing existing machine-learning Model Pipelines to ensure the training/inferencing is within the standard duration Collaborating effectively with cross-functional teams to understand business needs and deliver impactful solutions. Contributing to developing robust and scalable distributed computing systems for large-scale data processing. Designing, developing, and implementing innovative AI/ML solutions using Python, CI/CD, public cloud platforms Implementing model performance metrics pipeline for predictive models, covering different types of algorithms to adhere to Responsible AI. What We’re Looking For... You’ll need to have: Bachelor's degree or four or more years of work experience. Four or more years of relevant work experience. Experience in Batch Model Inferencing, Model-serving in Realtime. Knowledge on Frameworks such as BentoML TensorFlow Serving (TFX) or Triton. Solid expertise on GCP Cloud ML techstacks such as Bigquery, Data Proc, Airflow, Cloud Functions, Spanner, Data Flow. Very good experience on languages such as Python and PySpark. Expertise on Distributed computation and Multi-node distributed model training. Good understanding on GPU usage management. Experience on RAY Core and RAY Serve (batch and real-time models). Experience in CI/CD practices. Even better if you have one or more of the following: GCP Certifications or any Cloud Certification on AI/ML or Data w If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. #AI&D Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Type: Full-time Experience: 1+ Year About the Role: We are looking for a passionate and skilled Full-Stack Developer with experience in Generative AI to join our fast-paced product team. You’ll be responsible for building end-to-end applications that integrate powerful AI models into scalable, user-friendly web platforms. This is a hybrid role combining software engineering with applied AI — ideal for developers who love turning cutting-edge technology into real-world products. Key Responsibilities: Design, develop, and maintain full-stack web applications using Python (Flask/Django) and JavaScript (React/Vue) . Integrate Generative AI models (e.g., OpenAI, Hugging Face Transformers, custom LLMs) via APIs or local inference. Build and consume RESTful APIs to power intelligent frontend features. Work with databases (SQL/NoSQL) to store and retrieve user data and AI-generated content. Collaborate with data scientists and product designers to deliver seamless AI-powered user experiences. Optimize performance, scalability, and responsiveness of applications. Deploy applications using Docker , CI/CD pipelines , and cloud platforms (e.g., AWS, Render, or GCP). Required Skills: Proficient in Python and one or more web frameworks (Flask, Django). Solid experience in front-end development using React , Vue , or similar frameworks. Strong understanding of REST APIs , web architecture, and MVC patterns. Experience working with Generative AI models (e.g., GPT, LLaMA, Stable Diffusion). Familiarity with OpenAI API , LangChain , or Hugging Face ecosystem. Knowledge of Docker , Git , and cloud deployment workflows. Nice to Have: Experience with vector databases (e.g., Pinecone, FAISS, ChromaDB). Familiarity with prompt engineering and LLM fine-tuning. Experience in building AI chatbots or assistants. Background in machine learning , NLP, or data pipelines. What You’ll Get: A chance to work on next-gen AI products from scratch. Full ownership over projects — from backend logic to front-end UI. Flexible remote work culture with strong team collaboration. Access to latest AI tools, models, and compute resources. Job Type: Permanent Pay: From ₹30,000.00 per month Schedule: Day shift Ability to commute/relocate: Vadodara, Gujarat: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Do you experience or knowledge of generative AI ? Experience: Python: 1 year (Preferred) Work Location: In person Speak with the employer +91 8758137367