14 Model Training Jobs

Qualification & Experience: Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies. Technical Responsibilities Excellent proficiency in Python, with a strong focus on developing advanced skills. Extensive exposure to NLP and image processing concepts. Proficient in version control systems like Git. In-depth understanding of Azure deployments. Expertise in OCR, ML model training, and transfer learning. Experience working with unstructured data formats such as PDFs, DOCX, and images. O Strong familiarity with data science best practices and the ML lifecycle. Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks. Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery. Tool Exposure: Advanced understanding and hands-on experience with Git, Azure, Python, R programming and data engineering tools such as Snowflake, Databricks, or PySpark. Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies. Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure, AWS, or GCP. Data Analysis : Executing complex analyses against business requirements using appropriate tools and technologies. Software Development : Leading the development of reusable, version-controlled code under minimal supervision. Big Data Processing : Developing solutions to handle large-scale data processing using tools like Hadoop, Spark, or Databricks. Principal Duties & Key Responsibilities: Leading data extraction from multiple sources, including PDFs, images, databases, and APIs. Driving optical character recognition (OCR) processes to digitize data from images. Applying advanced natural language processing (NLP) techniques to understand complex data. Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance. Designing and managing scalable cloud-based data architectures using Azure, AWS, or GCP services. Collaborating closely with business domain experts to identify and drive key business value drivers. Documenting model design choices, algorithm selection processes, and dependencies. Effectively collaborating in cross-functional teams within the CoE and across the organization. Proactively seeking opportunities to contribute beyond assigned tasks. Required Competencies: Exceptional communication and interpersonal skills. Proficiency in Microsoft Office 365 applications. Ability to work independently, demonstrate initiative, and provide strategic guidance. Strong networking, communication, and people skills. Outstanding organizational skills with the ability to work independently and as part of a team. Excellent technical writing skills. Effective problem-solving abilities. Flexibility and adaptability to work flexible hours as required. Key competencies / Values: Client Focus : Tailoring skills and understanding client needs to deliver exceptional results. Excellence : Striving for excellence defined by clients, delivering high-quality work. Trust : Building and retaining trust with clients, colleagues, and partners. Teamwork : Collaborating effectively to achieve collective success. Responsibility : Taking ownership of performance and safety, ensuring accountability.

Apple is a place where individual imaginations gather together, committing to the values that lead to great work. Every new product built or service created is the result of making each other's ideas stronger. This collaborative environment is fueled by the shared belief that something wonderful can be created and shared with the world, ultimately changing lives for the better. The diversity of the team members and their thinking inspires innovation that permeates through everything that is done at Apple. By bringing everybody in, the best work of their lives can be achieved. When you join Apple, you are not just joining something, you are adding something. Product Engineering International, part of the esteemed Software Engineering Organization, is seeking an accomplished ML Researcher to spearhead the development of cutting-edge generative modeling pipelines for a diverse range of popular international languages. In this pivotal role, you will be at the forefront of natural language processing, designing and implementing end-to-end solutions. Your responsibilities will include driving innovation in generative modeling, owning the entire generative modeling pipeline, and prioritizing working with a variety of popular international languages to ensure culturally and linguistically adaptable models. As a key pillar of Apple Intelligence, you will bring impact to billions of users with your ML expertise, engineering passion, and programming skills. You will collaborate with a dedicated team of outstanding ML and software engineers on advanced text generation technologies. The focus will be on generative technologies for key international markets to ensure top-class experiences for the popular languages in these markets. Minimum Qualifications: - 4+ years of machine learning expertise. - Strong programming skills using Python/Objective C/Swift. - Good exposure to Deep Learning libraries like PyTorch and TensorFlow. - Thorough experience with common NLP algorithms and applications, including tokenization, language modeling, text decoding, text classifier, etc. Preferred Qualifications: - Actively exercising machine learning techniques, including implementing basic optimizers and regularizations. - Actively programming with high-quality codes across complex and large repositories. - Experience of multi-modal modeling. - Experience in NLP modeling for Indian languages is desired. If you are a passionate ML researcher with a deep interest in natural language processing and a talent for building generative models that work seamlessly across languages, join our team and make a meaningful impact!,

You are an experienced OCI AI Architect who will be responsible for leading the design and deployment of Gen AI, Agentic AI, and traditional AI/ML solutions on Oracle Cloud. Your role will involve a deep understanding of Oracle Cloud Architecture, Gen AI, Agentic and AI/ML frameworks, data engineering, and OCI-native services. The ideal candidate will possess a combination of deep technical expertise in AI/ML and Gen AI over OCI along with domain knowledge in Finance and Accounting. Your key responsibilities will include designing, architecting, and deploying AI/ML and Gen AI solutions on OCI using native AI services, building agentic AI solutions using frameworks such as LangGraph, CrewAI, and AutoGen, leading the development of machine learning AI/ML pipelines, and providing technical guidance on MLOps, model versioning, deployment automation, and AI governance. You will collaborate with functional SMEs, application teams, and business stakeholders to identify AI opportunities, advocate for OCI-native capabilities, and support customer presentations and solution demos. To excel in this role, you should have 10-15 years of experience in Oracle Cloud and AI, with at least 5 years of proven experience in designing, architecting, and deploying AI/ML & Gen AI solutions over OCI AI stack. Strong Python development experience, knowledge of LLMs such as Cohere and GPT, proficiency in AI/ML/Gen AI frameworks like TensorFlow, PyTorch, Hugging Face, and hands-on experience with OCI services are required. Additionally, skills in AI governance, Agentic AI frameworks, AI architecture principles, and leadership abilities are crucial for success. Qualifications for this position include Oracle Cloud certifications such as OCI Architect Professional, OCI Generative AI Professional, OCI Data Science Professional, as well as a degree in Computer Science or MCA. Any degree or diploma in AI would be preferred. Experience with front-end programming languages, Finance domain solutions, Oracle Cloud deployment, and knowledge of Analytics and Data Science would be advantageous. If you are a highly skilled and experienced OCI AI Architect with a passion for designing cutting-edge AI solutions on Oracle Cloud, we invite you to apply and join our team for this exciting opportunity.,

As an AI Application Engineer at SAP, you will play a pivotal role in designing and constructing AI applications by harnessing the power of machine learning and deep learning techniques. Your primary responsibility will involve collaborating with diverse teams to comprehend business objectives and translating them into precise technical requirements. You will be instrumental in developing data analysis prompts and conducting model training to ensure exceptional accuracy and performance levels. Additionally, your role will encompass the optimization of existing AI models and applications to enhance efficiency. Troubleshooting technical issues during development or deployment phases will also be part of your routine tasks. It is paramount that you stay abreast of the latest trends in AI to contribute innovative ideas to ongoing projects. Your tenure at SAP, a global leader in enterprise software, will expose you to a dynamic and innovative team environment. The organization is currently embarking on an AI-first journey, integrating artificial intelligence into every facet of product development. You will work on cutting-edge AI projects, including enhancing chatbots to efficiently handle customer inquiries across various industries. Moreover, you will have the opportunity to contribute to groundbreaking initiatives, particularly in the realm of AI agents. SAP fosters a collaborative culture that thrives on knowledge sharing, offering ample prospects for your professional growth in enterprise AI development. Join our vibrant team and play a pivotal role in shaping the future landscape of AI applications. **Duties and Responsibilities:** - Lead the complete lifecycle development of AI applications, from inception to deployment, leveraging hands-on expertise to ensure seamless functionality and optimal performance. - Collaborate with cross-functional teams to grasp business requirements and translate them into effective technical solutions. - Apply profound knowledge of prominent large language models like GPT and Llama, along with other relevant AI technologies, to drive innovation in AI application development. - Conduct thorough testing and meticulous optimization of AI applications, encompassing performance testing, accuracy validation, and resolution of identified issues to enhance overall quality and efficiency. - Oversee the data pipeline for AI model training, including data collection, cleaning, preprocessing, and ensuring data integrity to support accurate model training. - Integrate AI features into existing systems and architectures. - Stay abreast of industry trends, emerging technologies, and best practices in the field of AI. - Provide continuous support and maintenance for deployed AI applications, monitoring performance, addressing user feedback, and implementing necessary updates to ensure optimal functionality. **What you bring:** - Bachelor's degree or higher in a relevant field. - 4-6 years of hands-on experience in AI-related domains. - Demonstrated experience in AI product development. - Proficiency in writing prompts. - Experience in Agentic AI, Knowledge Graph, and other related areas. - Proficient in large language model principles. - Strong programming skills. - Excellent problem-solving abilities. - Familiarity with data processing and analysis. - Knowledge of cloud computing platforms such as AWS and Azure. - Eagerness to learn new AI technologies and a strong aptitude for learning. - Strong teamwork and communication skills. - Excellent English communication skills. Join the team at SAP and be part of a transformative journey towards leveraging AI to drive business success and innovation. As we continue to pioneer the development of AI applications, your contributions will play a pivotal role in shaping the future landscape of enterprise AI. Embrace this opportunity to grow professionally in a collaborative and forward-thinking environment, where your skills and expertise will be valued and nurtured.,

As an experienced Program/Project Manager in tech or AI-centric organizations, you will be responsible for leading AI/ML initiatives, particularly in automotive, fintech, or e-commerce domains. Your role will involve overseeing the AI/ML lifecycle, including data collection, labeling, model training, evaluation, deployment, and monitoring. It is essential to have a deep understanding of the used car ecosystem, encompassing pricing, inventory, inspection, marketplaces, and more. Your key responsibilities will revolve around project ownership, where you will lead cross-functional AI initiatives across various teams to ensure alignment with company goals. Managing timelines and dependencies for machine learning models such as price prediction, vehicle condition scoring, and fraud detection will be crucial. You will act as a bridge between business stakeholders and technical teams, translating requirements and facilitating collaboration. Additionally, you will be involved in defining program roadmaps, OKRs, and delivery milestones for multiple AI-driven products and platforms. Implementing agile methodologies, managing sprints, retrospectives, and addressing issues promptly are key aspects of your role. Risk management is another critical area where you will need to identify risks, devise mitigation strategies, and proactively handle changes in project scope or timelines. Staying updated on the used car market dynamics, customer behavior, and AI trends is imperative to shape product direction effectively. Regular reporting and communication with leadership regarding program status, KPIs, and blockers will be part of your routine tasks. Your proficiency with project management tools like Jira, Asana, Notion, etc., will aid in executing your responsibilities efficiently. Overall, you will play a pivotal role in driving AI initiatives, ensuring successful project delivery, fostering collaboration between teams, and staying abreast of market trends to drive product innovation and success.,

At PwC, the software and product innovation team focuses on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. Combining technical experience with creative thinking, individuals in software engineering at PwC work towards developing innovative software solutions that drive digital transformation and enhance business performance. The primary responsibilities include designing, coding, and testing cutting-edge applications to revolutionize industries and deliver exceptional user experiences. In this role, you will build meaningful client connections, manage and inspire others, and navigate complex situations to deepen technical expertise and awareness of strengths. Anticipating the needs of teams and clients is crucial, along with delivering quality results. Embracing ambiguity and utilizing moments of uncertainty as opportunities for growth are key aspects of this position. The required skills and experiences at this level include responding effectively to diverse perspectives, using a range of tools to generate new ideas, employing critical thinking to solve complex problems, understanding project objectives and broader business strategies, enhancing self-awareness through reflection, interpreting data for insights, and upholding professional and technical standards. As a Senior Associate in the Business services support Line of Service at PwC, you will be part of the AI, Technology, and Innovation team. This team focuses on leveraging advanced technologies to design and develop robust data solutions for the Acceleration Centre. Responsibilities include collaborating with cross-functional teams, designing and maintaining software solutions, implementing event-driven architectures for real-time data processing, utilizing containerization technologies, developing and managing data lakes, and staying updated with the latest advancements in GenAI technologies. Proficiency in Python and software engineering best practices for AI systems is essential for this role, along with hands-on experience in developing and deploying AI models in production environments. Experience in designing and implementing generative AI models, conducting research on the latest AI techniques, optimizing existing AI models, and developing AI pipelines are key responsibilities. The candidate should have a deep understanding of state-of-the-art AI architectures, proficiency in Python and machine learning libraries, strong knowledge of data structures and algorithms, effective communication skills, proactive mindset, and familiarity with cloud-based platforms and services like Azure or AWS.,

As a Computer Vision Engineer/Sr. Engineer specializing in Intelligent Video Analytics (IVA/AI) at our company, you will play a crucial role in designing and developing advanced systems for video data processing and analysis. You will be part of a team that excels in creating innovative solutions using computer vision, machine learning, and deep learning techniques to extract meaningful insights from video streams. Join our team in Vadodara, Gujarat, and be a part of our internal Computer Vision/Video Analytics team. This team focuses on applied research and is essential in deploying perception algorithms across our products. You will be involved in the entire product lifecycle - from ideation to deployment, giving you the opportunity to witness the impact of your work firsthand. With a minimum of 2 years of experience and a qualification in B.E/B.tech/M.E/M.tech in relevant fields, you should have good experience in Deep Learning/Computer Vision projects. Your technical skills should include working with Neural networks, CNN, deep learning frameworks such as TensorFlow, PyTorch, or Keras, and optimizing models for different hardware platforms. You will lead in the creation of systems, algorithms, and optimizations for all things computer vision. Your day-to-day activities may include designing and implementing algorithms, integrating video analytics solutions, collaborating with cross-functional teams, troubleshooting issues, and researching new technologies to enhance video analytics capabilities. Join us and be part of an Indian Tech Company that is creating innovative products for the world, right from India. Enjoy a competitive salary, generous leave schedule, company-paid medical insurance for the whole family, and a rewarding work environment that encourages you to do your best work. If you are a dynamic and solution-driven Software Engineer with a passion for technology and innovation, this is the opportunity for you. Join us and be a part of a challenging yet encouraging environment where you can unleash your potential and make a real impact.,

As an Engineering Lead at Bolo AI, a company dedicated to utilizing AI to optimize Energy processes, you will play a crucial role in expanding the engineering team and overseeing the delivery of cutting-edge products focused on Generative AI systems. Your responsibilities will encompass managing a talented group of applied scientists, MLOps engineers, and backend developers who are dedicated to developing high-performance platforms for LLM training, RAG, LLM agent orchestration, and enterprise deployments. Your primary objective will be to ensure that the team collaborates effectively to deliver top-tier products within set timelines and with exceptional quality standards. You will be instrumental in driving product excellence, facilitating the swift introduction of new features, functionalities, and AI-driven solutions for our valued customers. Moreover, you will be tasked with defining the technical roadmap, establishing operational frameworks, and upholding engineering standards. Reporting to the CTO and closely working with the CEO, you will engage with research and product teams to shape the company's trajectory and achieve tangible outcomes through state-of-the-art AI technologies. Key Responsibilities: - Architecting scalable and high-performance systems to support LLM pipelines, RAG infrastructure, and agentic workflows - Building, nurturing, and expanding a top-tier engineering team spanning platform engineering, ML infra, and backend systems - Overseeing the end-to-end delivery process of mission-critical AI products from conceptualization to deployment - Collaborating effectively with founders, research scientists, and product managers to align on technical strategies and business objectives - Establishing best practices in software development, MLOps, DevSecOps, and system design to ensure code quality and architectural integrity - Spearheading initiatives to enhance system performance, optimize LLM inference efficiency, and drive cost efficiencies across cloud environments - Engaging with enterprise clients and partners to comprehend requirements, solicit feedback, and facilitate solution delivery Qualifications: - Over 10 years of engineering experience with a minimum of 5 years in building and leading engineering teams, ideally in dynamic startup environments - Profound expertise in constructing production ML systems, encompassing model training, optimization, and large-scale deployment (LLM, RAG, agents, classification, etc.) - Strong background in backend and systems engineering with proficiency in Python and microservice architecture - Prior exposure to hybrid deployments (on-prem, VPC) and cloud-native infrastructure (AWS, GCP, Azure) - Demonstrated ability to scale engineering organizations, implement processes, and drive cross-functional collaborations - Passion for addressing real-world challenges using innovative ML and AI solutions - Educational background in Computer Science or related field (M.Tech/MS/PhD), with preference for candidates from esteemed institutions like IIT/NIT/BITS Desirable Skills: - Familiarity with CPU- and GPU-optimized ML inference frameworks such as BOLT, TorchScript, Triton, ONNX, or vLLM - Proficiency in LLM training methodologies (e.g., LoRA, QLoRA, RLHF, MoE), LLM Agents, multilingual NLP, or recommendation systems - Track record of publications in renowned ML/NLP conferences or patents in the AI/ML domain - Previous involvement in startup environments, particularly within the enterprise or SaaS sectors Join us at Bolo AI for: - Competitive Compensation: A competitive base salary - Ownership & Impact: Equity options to participate in our growth and success - Hybrid Work Environment: Flexibility to collaborate in-person and work remotely to ensure work-life balance - Growth & Opportunity: Engage in a pivotal stage where your contributions will shape our journey and unlock new opportunities - Culture of Respect & Collaboration: Join a team that values humility, respect, and teamwork, celebrating collective achievements.,

As a Senior AI/ML Engineer specializing in Natural Language Processing (NLP) and Large Language Models (LLMs) at Snowfig in Delhi, India, you will be at the forefront of developing innovative AI-driven solutions for the legal tech industry. Snowfig is known for its commitment to revolutionizing the legal field by creating bespoke tech solutions that streamline processes and empower legal professionals. Join our team and be part of a mission to drive innovation and excellence in legal tech! Your main responsibilities will include leading the design, development, and deployment of NLP and LLM-based solutions customized for the legal sector. You will work on cutting-edge projects involving LLMs like Mixteral or LAMA to build intelligent, efficient, and scalable solutions. Additionally, you will design and integrate knowledge graphs to enhance the performance of LLMs, ensuring accurate and contextually relevant outputs. Furthermore, you will be responsible for developing robust data pipelines for preprocessing, cleaning, and managing large-scale legal datasets to ensure high-quality input for model training. You will apply advanced techniques for model training, fine-tuning, and optimization to ensure the robustness, efficiency, and scalability of AI models. Collaboration with cross-functional teams to understand requirements, propose solutions, and deliver high-quality products will be a key part of your role. Mentoring junior engineers, staying updated on the latest advancements in AI, NLP, and LLMs, and bringing new ideas to the table are also crucial aspects of this position. You should have over 5 years of hands-on experience in AI/ML, with a strong focus on NLP and LLMs, along with proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers. A deep understanding of NLP techniques, LLM architectures, knowledge graphs, cloud platforms like Azure or AWS, and data engineering principles is essential. If you are looking to make a significant impact in transforming the legal industry, work on groundbreaking projects, and advance your career in a collaborative and innovative environment, Snowfig offers the perfect opportunity. Join our dynamic team in Delhi and be a part of a vibrant and diverse work culture that values creativity, initiative, and professional growth.,

Hands on Experience:- NLP/LLM Hugging Face, YOLO, CNNs, Stable Diffusion ML algorithms (regression, decision trees, clustering) Model training/fine-tuning using real-world datasets FastAPI,Flask,Django Docker, Kubernetes Cloud experience

Description We are seeking a skilled NLP Engineer to join our team in India. The ideal candidate will have a strong background in natural language processing and machine learning, with a passion for developing innovative solutions that leverage language data. Responsibilities Develop and implement natural language processing (NLP) models and algorithms to solve real-world problems. Collaborate with data scientists and software engineers to integrate NLP capabilities into applications. Analyze and preprocess large datasets to improve model performance. Conduct research on the latest NLP techniques and frameworks to enhance existing systems. Optimize and fine-tune NLP models for better accuracy and efficiency. Skills and Qualifications 3-8 years of experience in Natural Language Processing or related field. Proficiency in programming languages such as Python, Java, or Scala. Strong understanding of NLP libraries and frameworks like NLTK, SpaCy, TensorFlow, or PyTorch. Experience with machine learning techniques and algorithms relevant to NLP. Familiarity with text preprocessing, feature extraction, and model evaluation metrics. Knowledge of deep learning architectures for NLP, including LSTM, Transformers, and BERT. Ability to work with large datasets and experience with data manipulation tools. Strong problem-solving skills and the ability to work in a collaborative environment.

Description We are seeking a Generative AI Trainer to join our dynamic team in India. In this role, you will be responsible for training generative AI models, developing training datasets, and collaborating with teams to enhance AI applications. The ideal candidate will have a solid foundation in machine learning and a passion for advancing AI technologies. Responsibilities Develop and curate training datasets for generative AI models. Assist in the design and implementation of training modules for AI applications. Conduct training sessions for AI models, ensuring adherence to best practices. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Evaluate the performance of generative AI models and suggest improvements. Skills and Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. 1-3 years of experience in machine learning or AI model training. Strong understanding of natural language processing (NLP) and computer vision concepts. Proficiency in programming languages such as Python, Java, or R. Experience with AI frameworks like TensorFlow, PyTorch, or Keras. Familiarity with data preprocessing techniques and tools. Good analytical and problem-solving skills. Excellent communication and teamwork abilities.

Job Description: We are seeking a skilled and innovative AI/ML Engineer to design, build, and deploy machine learning solutions that solve complex business challenges in mission-critical industries. You will work with multidisciplinary teams to apply AI, ML, and deep learning techniques to large-scale datasets and real-time operational systems. Key Responsibilities: Design and implement end-to-end ML pipelines: data ingestion, model training, evaluation, and deployment Build predictive and prescriptive models using structured, unstructured, and real-time data Develop and fine-tune deep learning models for NLP, computer vision, or time series forecasting Integrate ML models into enterprise platforms, APIs, and dashboards Work closely with domain experts, data engineers, and DevOps teams to ensure production-grade performance Conduct model validation, bias testing, and post-deployment monitoring Document workflows, architecture, and results for reproducibility and audits Research and evaluate new AI tools, techniques, and trends Required Skills & Qualifications: Bachelor's or Masters degree in Computer Science, Data Science, Engineering, or related field 5-7 years of hands-on experience in developing and deploying ML models Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, XGBoost) Experience with NLP (BERT, spaCy) or CV frameworks (OpenCV, YOLO, MMDetection) Familiarity with data processing tools (Pandas, Dask, Apache Spark) Proficient in SQL and experience with time-series or sensor data Knowledge of ML Ops practices and tools (Docker, MLflow, Airflow, Kubernetes) Industry experience in Oil & Gas, Power Systems, or Urban Analytics Hands-on with edge AI (Jetson, Coral), GPU compute, and model optimization Cloud services: AWS SageMaker, Azure ML, or Google AI Platform Familiarity with REST APIs, OPC-UA integration, or SCADA data sources Knowledge of responsible AI practices (explainability, fairness, privacy).

As a Prompt Engineer , you will play a crucial role in designing and refining the conversational prompts that power our AI voice agents. You will work closely with AI researchers, product managers, and developers