Job Description The Memory IP Group (MIP) within the Client Computing Group (CCG) is looking for a Pre-Silicon Verification Engineer to deliver latest and best-in-class DDR PHY IP for SoCs across Intel for the latest desktop, laptop, and other products. In this role you will perform all aspects of the functional verification flow to ensure design will meet specification requirements. You will perform IP Verification related tasks such as creating test plan, defining TB architecture and creating test benches, validating design and micro-architectural implementation. You will be automating validation tasks to drive efficiency. You will be analyzing results and help to debug issues in pre-silicon environment at IP, subsystem and SOC level. You will collaborate with digital and analog architects, RTL developers, and physical design teams to improve verification of complex architectural and microarchitectural features and to meet functional, performance, and power goals. The additional responsibilities include: development of validation strategies and plans, scoping and driving execution for different area of pre-Si validation, driving technical reviews of plans and proofs with design and architecture teams, maintaining and improving existing functional verification infrastructure and methodology, providing guidance and help to team members in understanding issues, removing roadblocks and ensuring issue resolution through strong demonstration of Intel Cultural values. Qualifications Candidate must possess a BS, MS degree with 10-15 years of relevant industry experience in Design verification, System Verilog and OVM/UVM. Candidate must be experienced in validation flow right from test plan creation to verification closure, waveform debug, functional coverage, code coverage, VCS NLP and non-NLP simulations and GLS Capable of multitasking in dynamic environment with multiple teams from different geos Solid verbal and written communication skills Excellent debug and problem solving skills Preferred Qualifications: Knowledge of DDRPHY validation with good hold on DFI/DDR/LPDDR protocols Good scripting skills in Python/Perl Exposed to Formal Property Verification and Git/Perforce/CVS version control

We are looking for a skilled Python Developer who has a strong background in Generative AI. The ideal candidate will be responsible for developing, deploying, and integrating AI models (Gemini, Azure OpenAI etc.) and applications. You will work closely with our data science, engineering, and product teams to build scalable and robust solutions. Key Responsibilities: Design, develop, and deploy Generative AI models using frameworks. Integrate AI models with various applications, ensuring seamless functionality and performance. Collaborate with cross-functional teams to define, design, and ship new features. Write efficient, reusable, and reliable Python code. Optimize applications for maximum speed and scalability. Troubleshoot and debug applications and AI models to improve performance and reliability. Stay updated with the latest advancements in AI and machine learning technologies. Participate in code reviews and provide constructive feedback to peers. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. Having IT experience of 4 + Years. Proven experience as a Python Developer with a focus on Generative AI and application integrations. Proficiency in Python and experience with AI/ML frameworks. Strong understanding of machine learning and deep learning algorithms. Experience with API development and cloud platforms (e.g., AWS, Azure, Google Cloud). Familiarity with software development best practices, including version control (Git), CI/CD, and agile methodologies. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: Experience with Natural Language Processing (NLP) and Generative AI Models. Knowledge of Cloud technologies such as Google Cloud, AWS, Azure.

Develop & deploy Generative AI models for business solutions Leverage NLP for text analytics & automation Lead a data science team, ensuring innovation & efficiency Collaborate with stakeholders for AI-driven strategies Required Candidate profile Drive AI adoption & ethical AI practices Skills: GenAI (Mandatory), NLP, People Management, Stakeholder Management.

Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4,500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. Curious to know what its like to work at Evalueserve? About Innovation and Technology Centre (ITC) Our Innovation and Technology Centre specializes in creating modular solutions to meet clients' specific needs. As a member of the team, you will have the opportunity to develop and implement digital products, platforms, and tools specifically designed for research, analytics, and data management domains. We are at the forefront of technological advancements, and our AI efforts rely on our larger platform called AI for Research and Analytics (AIRA). What you will be doing at Evalueserve: Communicate with internal and external clients to understand business problems, participate in brainstorming sessions, and explore and propose suitable solutions Collect data, optimize data models, and evaluate results Improve existing model developments, wherever applicable Work with solution architects, back-end and front-end teams, etc., to successfully implement assigned use cases Ensure output quality and adhere to project timelines Support the development of AI-based solutions and platforms for various business partners across the globe Graduate / postgraduate in computer science, mathematics, engineering, or a related field More than three years of hands-on experience in programming languages such as Python and C++ Academic background in machine learning, deep learning, and natural language processing Experience in open-source ML frameworks such as TensorFlow, Keras, and PyTorch Experience in GenAI, knowledge graphs, ranking algorithms, and / or recommendation engines will be advantageous Experience in computer vision / image recognition will be advantageous What we're looking for: Knowledge and experience of building solutions based on large language models, such as GPT, Vicuna, LlaMa-2, and falcon. Experience in LLM fine-tuning will be advantageous In-depth knowledge of vector databases, such as Weaviate, Milvus, and Pinecone Showcase a flexible attitude to new technology and methodologies with a change in clients and business questions Extensive knowledge on NLU, NLP, and common NLP algorithms such as BERT, word2vec, FastText, and ELMO Be familiar with general software design concepts, product development lifecycles, and machine learning model deployments Knowledge of data structures and No-SQL databases Ability to stay updated and quickly grasp new concepts Passionate about learning and growing in the industry Entrepreneurial mindset, coupled with a can do attitude Good verbal and written communication and presentation skills Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

About the Role: We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives. This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions. As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains. Responsibilities: Technical Leadership & Strategy: Define and communicate the technical vision and strategy for AI projects. Lead the architectural design and implementation of complex AI systems. Evaluate and recommend emerging AI technologies and methodologies. Drive the adoption of best practices for AI development, deployment, and maintenance. Contribute to the strategic planning of AI initiatives, aligning them with business goals. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct code reviews and ensure code quality. Identify and address skill gaps within the team. Facilitate knowledge sharing and continuous learning. AI System Development & Implementation: Oversee the development and deployment of scalable and robust AI solutions. Ensure the performance, reliability, and security of AI systems. Drive the development of AI pipelines and infrastructure. Lead the integration of AI models with existing systems and applications. Troubleshoot and resolve complex technical issues. Research & Innovation: Stay abreast of the latest advancements in AI and machine learning. Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI. Drive research and development efforts to explore new AI technologies. Evaluate and prototype new AI solutions. Collaboration & Communication: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Communicate complex technical concepts to both technical and non-technical audiences. Provide technical presentations and demonstrations. Document technical designs, code, and processes. Required Skills and Qualifications: Education: Batchelors or Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects. Extensive experience in designing and implementing scalable AI systems. Proven experience in leading and mentoring technical teams. Deep understanding of machine learning and deep learning algorithms and architectures. Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Technical Skills: Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of AI infrastructure and deployment strategies. Experience with MLOps best practices. Experience with vector databases, and LLM implementations. Proficiency in software development principles and best practices. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Soft Skills: Exceptional leadership and communication skills. Strong problem-solving and analytical skills. Ability to think strategically and drive innovation. Excellent interpersonal and collaboration skills. Strong presentation skills. Preferred Qualifications: Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation). Experience with natural language processing (NLP) or computer vision. Contributions to open-source AI projects. Experience with distributed systems and big data technologies. Experience with prompt engineering. Location : - Remote

What youll be doing... In this role as a Sr Engr in the Tech Strategy & Planning team for TSGI-Cloud and Enterprise Architecture team, you'll be managing multiple programs designed to help GTS move towards its strategic objectives. You will be a key contributor in planning and building Data, Platforms and Emerging Technology North star, and ensuring the smooth and successful execution of initiatives by coordinating with cross-functional teams. Your expertise will help us solve complex problems and find unique solutions to optimize the technology landscape of our organization. Your responsibilities include but are not limited to: Technology Road-mapping: Develop and maintain a technology roadmap that aligns with the organization's strategic goals and evolving industry trends. Strategic Planning: Collaborate with leadership to identify opportunities where technology can be a competitive advantage and contribute to the development of the company's overall strategic plan. Innovation and Research: Stay updated on emerging technologies, assess their relevance to the business, and propose innovative solutions. Vendor and Partner Management: Evaluate and manage relationships with technology vendors and partners to ensure they support the organization's strategic objectives. Evaluate the Gen AI tools in partnership with AI&D team Develop scalable prototypes of LLM and NLP Modules and systems which are critical to the companys product lines. Apply state-of-the-art LLM techniques to understand a large amount of unstructured data and translate them to a meaningful and structured data Design, develop and evaluate predictive LLM models that are on par with industry standards & define metrics that measure success and customer value delivery Work closely with process experts to analyze and design solutions based on business requirements. What were looking for... Youre analytical and great at quickly grasping challenging concepts. As a strong written and verbal communicator, you deliver complex messages vividly to technical and business audiences alike. Youre no stranger to a fast-paced environment and tight deadlines, and you adapt to changing priorities and balance multiple projects with ease. You take pride in your work and get a lot of satisfaction from meeting and exceeding the expectations of your customers Youll need to have: Bachelors degree or four or more years of experience. Minimum 6 years of experience in one or more of Data Science, LLM, Gen AI Established experience delivering information management solutions to large numbers of end users Experience in building LLM solutions to business problems across support, sales, digital, chat, voice etc., Familiarity with Gen AI Models (OpenAI, Gemini AI, Vertex.AI, Mistral, LlaMa, etc.,) and finetune based on domain specific needs Experience in text processing, Vector databases and embedding models Experience in NLP, Transformers and Neural Networks Hands-on experience in using Langchain and good exposure to LLMOps Strong independent and creative research skills necessary to keep up with the latest trends in advanced analytics and ML Research, recommend and implement best practices of LLM and NLP systems that can scale Identify new process opportunities, while quickly assessing feasibility Excellent written and verbal communication skills able to effectively communicate technical details to a non-technical audience as well as produce clear and concise written documentation Even better if you have one or more of the following: Familiarity with Graph DB Concepts Familiarity with one or more Data Platforms - CloudEra, Snowflake, DataBricks etc. Experience in one or more Big data and ETL technologies - Informatica, Talend, Teradata, Hadoop etc. Experience in one or more BI platforms - Tableau, Looker, Thoughtspot etc. Masters degree from an accredited college or university preferred.

What youll be doing... The Commercial Data & Analytics - Impact Analytics team is part of the Verizon Global Services (VGS) organization.The Impact Analytics team addresses high-impact, analytically driven projects focused within three core pillars: Customer Experience, Pricing & Monetization, Network & Sustainability. In this role, you will analyze large data sets to draw insights and solutions to help drive actionable business decisions. You will also apply advanced analytical techniques and algorithms to help us solve some of Verizons most pressing challenges. Use your analysis of large structured and unstructured datasets to draw meaningful and actionable insights Envision and test for corner cases. Build analytical solutions and models by manipulating large data sets and integrating diverse data sources Present the results and recommendations of statistical modeling and data analysis to management and other stakeholders. Identify data sources and apply your knowledge of data structures, organization, transformation, and aggregation techniques to prepare data for in-depth analysis Understand data requirements, translate business needs into analytical solutions, and ensure the delivery of impactful insights Assist in building data views from disparate data sources which powers insights and business cases Apply statistical modeling techniques / ML to data and perform root cause analysis and forecasting Collaborate with cross-functional teams to discover the most appropriate data sources, fields which caters to the business needs Design modular, reusable Python scripts to automate data processing Locate and define new process improvement opportunities What were looking for... You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions. You will need to Have: Bachelors degree or four or more years of work experience Four or more years of relevant work experience Demonstrated experience writing queries for reporting, analysis and extraction of data from big data systems (Google Cloud Platform, Teradata, Spark, Splunk etc) Curiosity to dive deep into data inconsistencies and perform root cause analysis Programming experience in Python (Pandas, NumPy, Scipy and Scikit-Learn) Experience with Visualization tools matplotlib, seaborn, tableau, grafana etc Understanding of statistical modeling like regression and other supervised machine learning models Understanding of time series modeling and forecasting techniques Even better if you have one or more of the following: Ability to collaborate effectively across teams for data discovery and validation Experience with Machine Learning, Statistics and Probability, NLP, Deep Learning especially experience in recommendation systems, conversational systems, information retrieval, computer vision, regression modeling Excellent interpersonal, verbal and written communication skills.

Key Responsibilities: Build and optimize ML-based product pipelines and data-driven solutions Develop custom data models and algorithms to drive business insights Handle the deployment of ML models with awareness of optimized server configurations Enhance data collection and processing procedures to improve model performance Perform data mining and cleansing using state-of-the-art methods Conduct ad-hoc analysis and present insights in a clear, actionable manner Assess the accuracy and effectiveness of new data sources and techniques Collaborate with cross-functional teams to implement models and monitor outcomes Develop tools and processes to monitor model performance and data accuracy Build scalable pipelines using Large Language Models (LLMs) Fine-tune models like T5, LLaMA, and YOLO for specific use cases Requirements: 3+ years of experience in data science, machine learning, and analytics Proficiency in Python and statistical computing languages Strong expertise in ML model deployment and product platform architecture Expertise in fundamental data science, machine learning, and deep learning using Python Sound knowledge of NLP and Computer Vision Experience in building scalable AI applications with a good understanding of High-Level Design (HLD) Strong grasp of data structures and algorithms Experience with Retrieval-Augmented Generation (RAG) and Agentic workflows Experience in cloud platforms, preferably AWS (Redshift, S3, Lambda) Experience with Elasticsearch, SQL, and REST APIs Hands-on experience with big data tools such as Hadoop, Spark, and Hive Deep understanding of machine learning algorithms (regression, clustering, decision trees, neural networks, etc.) Strong problem-solving skills and the ability to translate data insights into business impact Excellent communication and collaboration skills to work across teams

What You'll Do: Lead the development and deployment of NLP-based solutions to process and analyze unstructured data at scale. Design, train, and optimize machine learning models using libraries such as PyTorch, NLTK, and Scikit-learn. Architect and deploy AI/ML products on cloud platforms like Azure, GCP, or AWS. Collaborate with data engineering teams to ensure seamless integration of AI models into production systems. Perform advanced SQL analytics to extract actionable insights from structured datasets. Stay up-to-date with the latest advancements in NLP and machine learning techniques. Mentor junior data scientists and foster a culture of technical excellence within the team. Communicate complex technical concepts to non-technical stakeholders and customers. Partner with customers to understand their needs and translate them into technical solutions. What Were Looking For: Minimum 5 years of experience in data science, with a focus on NLP and unstructured data processing. Proven track record of launching NLP-driven products to live users. Expertise in Python and standard libraries such as PyTorch, NLTK, and Scikit-learn. Experience with Transformer-based models (e.g., BERT, GPT). Strong experience with one or more cloud platforms (Azure, GCP, AWS) for hosting and deploying AI/ML products. Familiarity with data engineering pipelines and best practices. Proficiency in SQL for analytics and data manipulation. Excellent problem-solving skills and ability to work with large-scale datasets. Strong interpersonal and communication skills, with the ability to mentor team members and interact with customers effectively. Preferred Skills: Knowledge of MLOps practices for model deployment and monitoring. Familiarity with tools like Airflow, Spark, or similar data processing frameworks. Background in working with customer-facing applications and APIs.

Position Overview As the newest addition to our existing Data Science team, you will combine your analytical skills and business knowledge to deliver key insights to our Product and Management teams. Youll help drive product development using our vast user data sets to enhance our current products and to help us find inferences and relationships in this data to build new products More towards the role required Key Responsibilities Demonstrate ability to work on data science projects involving predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc. Leverage our rich data sets of user data to perform research, develop models and create data products with our Development & Product teams Develop novel and scalable data systems in cooperation with our system architects that leverage datasets using machine learning techniques to enhance the user experience Required skills Knowledge and experience using statistical and machine learning algorithms including regression, instance-based learning, decision trees, Bayesian statistics, clustering, neural networks, deep learning, ensemble methods Expert knowledge in Python. Experience in feature selection, building and optimising classifiers. Experience working with backend technologies such as Flask/ Gunicorn etc. Experience on working with open source library such Spacy,NLTK,Gensim etc Experience on working with deep-learning library such as Tensor flow, Pytorch etc Experience with software stack components including common programming languages, back-end technologies, database modelling, continuous integration, services oriented architecture, software testability etc. Be a keen learner and enthusiastic about developing software. Additional skills (Good to have) Experience with Cloud infrastructure and platforms (Azure, AWS) Experience using tools to deploy models into the production environment such as Jenkins Experience with the ontology/taxonomies of the career/ recruiting domain e.g. O*Net NR

We are seeking a talented and experienced Machine Learning Engineer with a strong focus on Natural Language Processing (NLP). You will play a key role in developing, optimizing, and deploying state-of-the-art NLP solutions. You will collaborate with cross-functional teams to design scalable AI-driven applications that leverage the latest advancements in machine learning. Key Responsibilities: Design, develop, and implement NLP models using modern techniques like BERT, GPT, and other LLMs. Fine-tune pre-trained models for specific NLP applications, text summarization, and question-answering systems. Research and experiment with cutting-edge ML techniques and optimize model performance. Collaborate with product managers and software engineers to create end-to-end solutions that scale in production. Evaluate and improve model accuracy, scalability, and performance using appropriate metrics. Stay updated on the latest trends in NLP and machine learning to implement best practices. Required Skills and Qualifications: 3-6 years of experience in machine learning with a focus on NLP Hands-on experience with BERT and other transformer models Proficiency in working with large language models (e.g., GPT, T5, etc.) Strong programming skills in Python, with experience in ML libraries like PyTorch, Hugging Face Deep understanding of tokenization, embeddings, sequence-to-sequence models, and attention mechanisms Experience with fine-tuning models for specific use cases Familiarity with data preprocessing techniques for NLP tasks Experience with ML Serving for deploying models at scale Strong problem-solving skills and ability to work in a fast-paced environment

About the Role: We are seeking a highly experienced and visionary AI Senior Technical Lead to drive the technical direction and execution of our AI initiatives. This role is pivotal in shaping our AI strategy, leading a team of talented AI engineers, and ensuring the delivery of innovative and impactful AI solutions. As a technical leader, you will be responsible for defining architectural vision, driving best practices, and fostering a culture of technical excellence across diverse AI domains. Responsibilities: Technical Leadership & Strategy: Define and communicate the technical vision and strategy for AI projects. Lead the architectural design and implementation of complex AI systems. Evaluate and recommend emerging AI technologies and methodologies. Drive the adoption of best practices for AI development, deployment, and maintenance. Contribute to the strategic planning of AI initiatives, aligning them with business goals. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct code reviews and ensure code quality. Identify and address skill gaps within the team. Facilitate knowledge sharing and continuous learning. AI System Development & Implementation: Oversee the development and deployment of scalable and robust AI solutions. Ensure the performance, reliability, and security of AI systems. Drive the development of AI pipelines and infrastructure. Lead the integration of AI models with existing systems and applications. Troubleshoot and resolve complex technical issues. Research & Innovation: Stay abreast of the latest advancements in AI and machine learning. Identify opportunities to apply AI to solve complex business challenges, including opportunities within Generative AI. Drive research and development efforts to explore new AI technologies. Evaluate and prototype new AI solutions. Collaboration & Communication: Collaborate with cross-functional teams, including product managers, data scientists, and software engineers. Communicate complex technical concepts to both technical and non-technical audiences. Provide technical presentations and demonstrations. Document technical designs, code, and processes. Required Skills and Qualifications: Education : Batchelors or Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Experience: 8+ years of experience in AI/ML development, with a proven track record of leading complex AI projects. Extensive experience in designing and implementing scalable AI systems. Proven experience in leading and mentoring technical teams. Deep understanding of machine learning and deep learning algorithms and architectures. Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services. Technical Skills: Expertise in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong understanding of AI infrastructure and deployment strategies. Experience with MLOps best practices. Experience with vector databases, and LLM implementations. Proficiency in software development principles and best practices. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). Soft Skills: Exceptional leadership and communication skills. Strong problem-solving and analytical skills. Ability to think strategically and drive innovation. Excellent interpersonal and collaboration skills. Strong presentation skills. Preferred Qualifications: Experience with Generative AI technologies and methodologies (e.g., GANs, Diffusion Models, Transformers for generation). Experience with natural language processing (NLP) or computer vision. Contributions to open-source AI projects. Experience with distributed systems and big data technologies. Experience with prompt engineering. 8+ years of experience in AI/ML development Location : - Remote

About the role As a Sr. AI Scientist, you will positively impact our customers by utilizing machine learning (ML), deep learning and Generative AI applications and will contribute to the organization's success by providing technical guidance and expertise in artificial intelligence (AI), Automatic Speech Recognition (ASR), and Natural Language Processing (NLP). Responsibilities Guide, mentor and train colleagues in the planning and execution of complex projects, multitask effectively across several projects and teams, and expand your sphere of influence beyond the immediate team Collaborate across teams to develop innovative and cross-disciplinary solutions that infuse ultramodern large language model (LLM) technology within Uniphore products Leverage the most current tech stacks to develop comprehensive, scalable solutions Assemble and fine-tune pre-trained enterprise-grade ML/NLP algorithms Integrate ML/NLP with other tools, harnessing of diverse data types Align and fine tune ML/NLP/ASR to meet customer needs based on enterprise customer feedback on Uniphore products, enumerate guidelines and design annotation processes for data, working closely with our Data team on data preprocessing, consumption, and automated/manual annotations Carry out scientific evaluation of NLP/LLM models; conceive new techniques for model validation, evaluation, trust, and safety Manage large datasets, address quality issues, and interpret data according to business goals; compare results of alternative approaches Navigate complex metrics and evaluate performance by establishing baseline results from simple or established approaches Steer several medium-sized research projects Write concise, readable, modular code that requires minimal revision when moved to production Write clear documentation of the work plan, its evolution, and results Research and assess the scientific literature for solutions to company needs, and compare prior work to internal solutions Qualifications & Skills Masters degree in Computer Science, Engineering, or related plus a minimum of 3 years of experience in successful delivery of AI services for critical projects; or, a Bachelors degree in Computer Science, Engineering or related with a minimum of 4 years of relevant experience. Minimum of 3 years of industry experience in any of: ML/NLP, Computer Vision, Deep Learning, or ASR Thorough knowledge of ML and data science concepts, Deep Learning, PyTorch/TensorFlow Hands-on experience in Transformers and Hugging Face ecosystem; hands-on knowledge of using LLMs for NLP Solid expertise in Python programming; hands-on experience in developing production-ready, scalable code Knowledge of deployment using environments such as: Dockeror Kubernetes Excellent communication, critical thinking and analytical skills

1. End-to-End ML Solutions: Take full ownership of developing end-to-end machine learning solutions within the geospatial domain, focusing on image data, point cloud data, geophysical data, geological data, and related datasets, within the GIS context and ensuring alignment with customer needs and company objectives. 2. Technical Collaboration: Collaborate closely with development teams, translating geospatial requirements into technical specifications for seamless integration with the product. 3. Data Preprocessing: Develop and refine preprocessing pipelines for input data, ensuring data quality and normalization. 4. Continuous Learning: Stay updated on the latest advancements in machine learning and GIS technology, actively participating in training programs and self-directed learning. 5. Documentation and Reporting: Document progress, methodologies, and outcomes for knowledge transfer and future reference. 1+ years of hands-on experience in machine learning engineering or related technical roles. Proven ability to engage with technical teams, translating geospatial requirements into machine learning specifications. 7. Strong background in algorithm development, model training, and deployment. Experience with GIS related data is a plus. Expertise in Python and machine learning frameworks (e.g., TensorFlow, PyTorch). 8. Solid understanding of image analysis, and point cloud processing. Excellent analytical and problem-solving skills, with a data-driven decision-making approach. Effective verbal and written communication skills, capable of conveying complex technical concepts clearly. 9. Demonstrated ability to work collaboratively with cross-functional teams, including development, design, and marketing. Comfortable working in a fast-paced environment, adaptable to changing technical priorities and requirements

We are seeking an experienced Generative AI Engineer to design, develop, and optimize AI models for text, image, video, and audio generation. The ideal candidate should have expertise in deep learning, natural language processing (NLP), transformer models (GPT, BERT, LLaMA, etc.), and multimodal AI. This role involves working with large-scale datasets, fine-tuning AI models, and deploying scalable AI solutions. Key Responsibilities: Design, develop, and fine-tune Generative AI models for text, image, video, and audio synthesis. Work with transformer architectures such as GPT, BERT, T5, Stable Diffusion, and CLIP. Implement and optimize LLMs (Large Language Models) using Hugging Face, OpenAI, or custom architectures. Develop AI-powered chatbots, virtual assistants, and content generation tools. Work with diffusion models, GANs (Generative Adversarial Networks), and VAEs (Variational Autoencoders) for creative AI applications. Optimize AI models for performance, inference speed, and cost efficiency in cloud or edge environments. Deploy AI models using TensorFlow, PyTorch, ONNX, and MLflow on AWS, Azure, or GCP. Work with vector databases (FAISS, Pinecone, Weaviate) and embedding-based search techniques. Fine-tune models using RLHF (Reinforcement Learning with Human Feedback) for better alignment. Collaborate with data scientists, ML engineers, and product teams to integrate AI capabilities into applications. Ensure AI model security, bias mitigation, and ethical AI practices. Stay updated with the latest advancements in Generative AI, foundation models, and prompt engineering. Required Skills & Qualifications: 6+ years of experience in AI, machine learning, and deep learning. Strong expertise in Generative AI models and transformer architectures. Proficiency in Python, TensorFlow, PyTorch, and Hugging Face libraries. Experience with NLP, text embeddings, and retrieval-augmented generation (RAG). Knowledge of vector databases, embeddings, and scalable model serving (FastAPI, Triton, Ray Serve). Experience with GPU acceleration (CUDA, TensorRT, ONNX optimization) for AI workloads. Familiarity with cloud-based AI services like AWS Bedrock, Azure OpenAI, or Google Vertex AI. Strong understanding of data preprocessing, annotation, and model evaluation metrics. Experience working with large-scale datasets and distributed training techniques. Strong problem-solving skills and ability to work in Agile/DevOps environments. Preferred Qualifications: Experience with multimodal AI (text-to-image, text-to-video, speech synthesis). Knowledge of RLHF, prompt engineering, and AI-assisted code generation. Certifications in Machine Learning, AI, or Cloud AI services.

Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees. Job Description: About the role As a Sr. AI Scientist, you will positively impact our customers by utilizing machine learning (ML), deep learning and Generative AI applications and will contribute to the organization's success by providing technical guidance and expertise in artificial intelligence (AI), Automatic Speech Recognition (ASR), and Natural Language Processing (NLP). Responsibilities Guide, mentor and train colleagues in the planning and execution of complex projects, multitask effectively across several projects and teams, and expand your sphere of influence beyond the immediate team Collaborate across teams to develop innovative and cross-disciplinary solutions that infuse ultramodern large language model (LLM) technology within Uniphore products Leverage the most current tech stacks to develop comprehensive, scalable solutions Assemble and fine-tune pre-trained enterprise-grade ML/NLP algorithms Integrate ML/NLP with other tools, harnessing of diverse data types Align and fine tune ML/NLP/ASR to meet customer needs based on enterprise customer feedback on Uniphore products, enumerate guidelines and design annotation processes for data, working closely with our Data team on data preprocessing, consumption, and automated/manual annotations Carry out scientific evaluation of NLP/LLM models; conceive new techniques for model validation, evaluation, trust, and safety Manage large datasets, address quality issues, and interpret data according to business goals; compare results of alternative approaches Navigate complex metrics and evaluate performance by establishing baseline results from simple or established approaches Steer several medium-sized research projects Write concise, readable, modular code that requires minimal revision when moved to production Write clear documentation of the work plan, its evolution, and results Research and assess the scientific literature for solutions to company needs, and compare prior work to internal solutions Qualifications & Skills Ph.D. plus minimum of 2 years of relevant experience; or Masters degree in Computer Science, Engineering or related with 3 years industry experience, or a minimum or 4 years of experience in successful delivery of AI services for critical projects; or, a Bachelors degree in Computer Science, Engineering or related with a minimum of 6 years of relevant experience Minimum of 3 years of industry experience in any of: ML/NLP, Computer Vision, Deep Learning, or ASR Thorough knowledge of ML and data science concepts, Deep Learning, PyTorch/TensorFlow Hands-on experience in Transformers and Hugging Face ecosystem; hands-on knowledge of using LLMs for NLP Solid expertise in Python programming; hands-on experience in developing production-ready, scalable code Knowledge of deployment using environments such as: Dockeror Kubernetes Excellent communication, critical thinking and analytical skills Publications n peer-reviewed machine learning venues (e.g. NeurIPS, ICLR, ICML, InterSpeech, ICASSP, EMNLP, KDD, CVPR, AAAI etc.) Location preference: India - Bangalore, India - Chennai Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics. For more information on how Uniphore uses AI to unifyand humanizeevery enterprise experience, please visit?www.uniphore.com.

Job Title: Linguist - AI Training & Evaluation Company: Krutrim (Ola) Location: Bengaluru, Kormangala Employment Type: Full Time Languages: Punjabi, Bengali, English, Gujarati, Hindi, Kannada, Malayalam, Marathi, Tamil, Telugu. About Krutrim: Krutrim (Ola) is a leading innovator in AI and machine learning, specializing in the development of cutting-edge language models and AI-driven solutions. As we continue to grow, we are looking for linguists with expertise in Indian languages, natural language processing (NLP), and large language models (LLMs) to join our dynamic team. Help us shape the future of AI in Indian languages! Role Overview: Krutrim is seeking a Linguist - AI Training & Evaluation for LLM Evaluation to curate high-quality datasets, evaluate language models, and fine-tune performance using Reinforcement Learning from Human Feedback (RLHF). You will work on evaluating model outputs, DPO data set creation, performing comparative analysis, and benchmarking Krutrim’s AI models against industry standards. Key Responsibilities: Data Set Creation: Develop high-quality, multilingual data for training large language models (LLMs), ensuring linguistic diversity and cultural relevance in Indian languages. LLM Evaluation: Conduct rigorous evaluation of NLP models and AI language models. Benchmark model performance against internal and external systems to ensure accuracy, relevance, and coherence. Supervised Fine-Tuning (SFT) & RLHF: Apply supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) techniques to improve model performance and adapt to specific tasks. Model Benchmarking: Perform benchmarking of AI models to ensure that Krutrim’s LLMs perform competitively in real-world applications. Model Response Evaluation: Evaluate the quality of model responses across various tasks and benchmarks. Ensure alignment with desired output accuracy, contextual understanding, and linguistic precision. Collaboration with Cross-Functional Teams: Work closely with data scientists, engineers, and AI researchers to integrate linguistic insights and optimize machine learning models for Indian languages. Desired Skills & Qualifications: Linguistic Expertise: Native-level fluency in one or more Indian languages, with excellent command over English. Proficiency in multilingual linguistics is a plus. AI & NLP Knowledge: Strong understanding of Natural Language Processing (NLP), machine learning models, deep learning frameworks, and large language models (LLMs). Model Evaluation Skills: Proven experience in evaluating AI models, including benchmarking, fine-tuning, and model assessment. Attention to Detail: Strong ability to identify linguistic nuances, model errors, and biases in AI model outputs. Data Management: Skilled in managing and curating large datasets, understanding data preprocessing and data cleaning for AI model training. Analytical Mindset: Ability to perform quantitative and qualitative assessments of AI model performance, including the development of evaluation metrics. Qualifications: Education: Bachelor’s or Master’s degree in Linguistics, Language, or similar experience in the previous jobs. Experience: 2-3 years of experience in linguistics, NLP, or AI model evaluation, with a focus on large-scale data curation.

Job Title : AI Developer Location : Baner, Pune (NO Work From Home) Joining : Immediate Reports to : Team Lead Syncthreads is a IIT Bombay startup working towards providing end-to-end solutions to the Indian Defense Forces. The major tech space of our work includes generic software stack, Analytics, AI and ML, Embedded systems, Photonics, Hardware Electronics and cloud based integration.The projects are very niche, but also require absolute precision to be used on the Defense fields. We truly believe in our values of: Transformation : People first company Oneness : Inclusive partnership of industry & academics Innovation : Latest Tech with focus on simplicity & aesthetics Growth : Through mentoring and networking If you like such challenges & the mindset of the company, join in and have a great learning experience JOB DESCRIPTION ROLE OVERVIEW: We are looking for an experienced and driven AI Developer with 3+ years of hands-on experience in designing and deploying AI Based solutions. The ideal candidate should have expertise in developing, training, and optimizing machine learning and deep learning models, particularly in Computer Vision and Transformer architectures. You will be responsible for building and deploying state-of-the-art AI models in real-world applications, including on edge devices for real-time inference. PLEASE NOTE: YOU SHOULD BE PASSIONATE ABOUT YOUR WORK. If you arent passionate, this is not the right organization for you KEY RESPONSIBILITIES: Develop, train, and optimize deep learning models (DNNs, GANs) for various applications. Work on signal processing techniques for feature extraction and analysis. Deploy ML/DL models on edge devices (e.g., Jetson, Raspberry Pi) for real-time inference. Handle end-to-end machine learning pipelines, from data preprocessing to model deployment. Take ownership of projects and drive innovation within a small, fast-paced team. Research and implement state-of-the-art AI techniques to improve model performance. Collaborate closely with cross-functional teams to integrate AI models into real-world applications. MUST-HAVE SKILLS Programming: Python ( Complete Hands-on Mastery on Python is a must ) Must know: Computer Vision, RCNN , LSTM and Transformer. Basic Understanding: NLP , Sound Data and Feature Extraction. Deep Learning Frameworks: TensorFlow, PyTorch Model Development: DNN,Computer Vision, GANs Machine Learning & Statistics: Basic ML algorithms, probability, optimization Signal Processing: Feature extraction, filtering, time-frequency analysis Edge Device Deployment: Optimizing models for Jetson, Raspberry Pi, or embedded systems Problem-Solving & Maturity: Ability to take responsibility and work independently in a small team QUALIFICATIONS: MUST HAVE: DESIGN AND DEPLOYED at least 3 advanced AI PROJECTS B.Tech in IT, Computer Science, Electronics & Telecomm. Engineering, specialization in AI/ML 3+ years of experience in machine learning and deep learning model development Hands-on experience specifically with edge AI deployment is a plus Kaggle Competition participation is a plus MUST HAVE PERSONAL QUALITIES: Accountable, Reliable, completing work within deadlines The rest follows: Ability to innovate with strong ideation and hands-on skills Able to connect ideas and concepts strategically Extensive A.I. Domain experience with a strong interest in technology Honest, disciplined, proactive approach to work Strategic and collaborative leadership style, yet a team player Creative and independent Problem Solving Approach Empathy on the floor, Patience and Acumen to Delegate and Follow up Good communication skills REPORTS TO: Team Lead HOW TO APPLY Interested candidates should submit their resume and a cover letter detailing their experience and interest in the role to hr@syncthreads.in. Join us at the forefront of innovation and make a real impact through cutting-edge AI solutions!

Vidushi Infotech: Join a Dynamic Team and Shape the Future of Technology About us: Vidushi Infotech Software Solutions Provider Private Limited, founded in 2003 and headquartered in Pune, India, is a global digital transformation company with a direct presence in India, the USA, Panama, and New Zealand. This strategic presence allows us to provide focused support and tailored solutions to our clients in these key regions. Coupled with our indirect reach through strategic partnerships in over 90 other countries, we offer a truly global service network. With over 21 years of experience, we offer a comprehensive suite of IT solutions, encompassing high-quality web and mobile application development, as well as robust IT security services. Our expertise extends to cloud services, business applications, ERP, CRM, and disruptive technologies such as Blockchain, Artificial Intelligence, Machine Learning, IoT, Bots, and Data Science. We also provide comprehensive cybersecurity solutions. Serving a diverse global clientele across various industries, government agencies, and business segments, we cater to the evolving needs of businesses worldwide. Our reach spans North and South America, the UK, Europe, Africa, the Middle East, Asia, New Zealand, and Australia. Through strategic partnerships and tailored advice, we empower our customers to drive innovation, achieve sustainable growth, and build successful businesses. Our highly qualified and experienced management team leads a talented group of software engineers dedicated to delivering world-class products and services. At Vidushi Infotech, we are committed to excellence in all that we do, and we strive to provide exceptional value to our clients. Key Benefits: Career Growth: Advance your skills and take on challenging projects. Collaborative Culture: Work with a passionate and supportive team. Global Impact: Contribute to innovative solutions that serve clients worldwide. Cutting-Edge Technology: Stay at the forefront of technological advancements. Competitive Compensation: Enjoy competitive salaries and benefits. Ready to make a difference? Join Vidushi Infotech and embark on a rewarding career journey. Data Scientist 5 7 years Experience working closely with other data scientists, data engineers software engineers, data managers and business partners. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Applied knowledge of data science tools and approaches across all data lifecycle stages. Thorough understanding of underlying mathematical foundations of statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. The candidate should at minimum show proficiency in: Development experience in one or more object-oriented programming languages (e.g. Python, Java). Strong software engineering and ML system design experience. Advanced SQL knowledge. very strong communication skills, (including written) Experience with other ML system designs as well (including kNN model, etc.) apart from NLP Algorithms.

We are hiring strategic Data Scientists to join our Data & AI Studio. Our expertise allows us to create a wide variety of end to end solutions for industries including finance, travel, media & entertainment, retail, health, among others. We democratize data and foster organizational changes towards a data-driven culture. Join us in discovering the real value of Data. Right now, we are looking for Senior Data Scientist to join our team at Globant! Location: Pune\ Indore\ Ahmedabad \ Hyderabad\Bangalore Experience Range: 5-10Years Responsibilities • Develop predictive models using supervised and unsupervised machine learning/deep learning • Build models for legal predictive analytics, natural language understanding, conversational AI, robotic accounting, forecasting and anomaly detection • Provide expertise in data wrangling, exploratory data analysis and feature engineering with large data sets • Support the development of proofs of concept to demonstrate the application of AI/ML capabilities in solving customer problems in collaboration with product and other development Teams • A self-starter who can align the technology solution with a business goal Qualifications • Undergraduate or Graduate degree (MS or PhD) in Computer Science, Engineering, Mathematics or equivalent, specializing in machine learning or a related field • 3+ years experience in supporting development of production-ready solutions leveraging AI technologies: NLP, Deep Learning, Machine Learning • Strong hands-on expertise in Python and open source libraries/frameworks/tools such as NumPy, SciPy, scikit-learn, pandas, matplotlib, spaCy, NLTK, jupyter, anaconda, transformers, etc. • Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch • Experience in applying deep learning to NLP - Transformers, BERT • Computer vision modeling a plus • Experience with designing, building, and optimizing data and model training pipelines • Experience in SageMaker or Azure ML Studio a plus • Experience with cloud-based platform (Azure) for solution delivery • Experience working with agile and Software Development Lifecycle tools (e.g. JIRA, Confluence,Git) and Test-Driven Development (TDD) You will get the chance to: Develop your career in our Studios. Each Studio represents deep pockets of expertise on the latest technologies and trends and delivers tailored solutions focused on specific challenges. Develop your career within an industry or multiple industries. Be empowered to choose your career path: we have more than 600 simultaneous projects, so you can choose where and how to work. Be part of an agile pod. Driven by a culture of self-regulated teamwork, each team -or POD- works directly with our customers with a full maturity path that evolves as they increase speed, quality and autonomy. What will help you succeed: Experience with Python is must have Experience with model deployment on AKS, API development, Flask, etc is required Well versed with Natural Language Processing techniques Business Skills Client Handling & Communication Problem-solving / critical thinking Systems Thinking Interest and passion for Technology Willingness to help teams become agile, high performing and foster a culture of team-work and sustainable

Key Responsibilities: Design, develop, and deploy machine learning models and AI solutions that address complex business challenges, particularly within the AEC domain. Build scalable, production-grade AI/ML pipelines, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring. Collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions. Ensure that deployed models are reliable, maintainable, and scalable while optimizing their performance in production environments. Develop APIs or microservices for integrating AI/ML models into business solutions. Optimize AI/ML workflows by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control. Apply state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Maintain adherence to data privacy, security, and ethical AI standards throughout the lifecycle of AI/ML models. Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. Performs other duties as required. Skills and Abilities: Strong expertise in building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience with cloud-based AI/ML services, particularly in Microsoft Azure and Databricks. Proficiency in programming languages such as Python or R, with a strong understanding of libraries and tools for data science and machine learning. Experience with MLOps practices, including automated pipelines, model versioning, monitoring, and lifecycle management. Familiarity with distributed computing frameworks like Apache Spark and scalable AI/ML training techniques. Expertise in domain-specific AI techniques such as Natural Language Processing (NLP), computer vision, and predictive analytics. Knowledge of data privacy, security, and ethical AI principles, ensuring compliance with relevant standards. Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively. Excellent interpersonal and presentation skills to build strategic relationships with colleagues, stakeholders, and partners. Strong critical thinking skills to generate innovative solutions and improve business processes. Ability to effectively communicate complex technical concepts to both technical and non- technical audiences. Detail oriented with the ability to assist with executing highly complex or specialized projects. Minimum Qualifications: Bachelors degree. 6 years of related experience. Equivalent additional related experience will be considered in lieu of a degree.

Lead Data Scientist - GenAI Location: Hyderabad (Onsite/Hybrid) Experience: 8+ years Only Immediate to 30 Days Notice Period will be preferable. About the Role: We are looking for a Project Lead - GenAI with strong expertise in AI, Machine Learning, and Generative AI to lead the development of innovative AI-driven solutions. In this role, you will drive the design, development, and deployment of LLMs, NLP models, and AI agents , ensuring they scale effectively within modern application architectures. If you are an experienced Python engineer with hands-on experience in AI/ML and MLOps , this is a great opportunity to lead impactful projects in a fast-paced environment. Key Responsibilities: Lead and oversee the development of Generative AI solutions from concept to deployment. Design and build scalable AI applications leveraging LLMs, NLP, and AI agents . Architect and optimize data pipelines for AI model training, tuning, and deployment. Implement MLOps best practices for streamlined model deployment and monitoring. Develop and integrate AI models within microservices and event-driven architectures . Stay ahead of the latest advancements in GenAI, AI frameworks, and model fine-tuning techniques . Collaborate with cross-functional teams, including data engineers, ML scientists, and software developers . Drive best coding practices, performance optimization, and AI ethics considerations in AI model development. Must-Have Skills: 8+ years of experience in AI/ML, with a focus on GenAI and NLP. Strong Python engineering skills with experience in building scalable applications. Expertise in Transformers, LLMs, NLP, Machine Learning, and AI agents. Hands-on experience in data pipelines, model training & deployment, and MLOps. Experience working with modern application architectures (Microservices, Event-Driven Systems). Preferred Skills: Knowledge of FastAPI for high-performance API development. Experience with Snowflake for data storage and processing. Hands-on experience with PyTorch or TensorFlow for deep learning model development. Familiarity with LangChain & OpenAI APIs for integrating LLMs into applications. Strong communication & interpersonal skills to lead and collaborate effectively.

Dear Candidates, Greetings of the day!! My name is Karthikeyini, and I'm reaching out to you regarding an exciting opportunity with TechMango. You can connect with me on LinkedIn https://www.linkedin.com/in/karthikeyini-t-0943b0290/ Or Email: Karthikeyini.t@techmango.net Find below the JD for the opening of Python Developer - TechMango Role : Python Developer Experience : 3 - 8 Years Job Location : Madurai and Chennai Mode: Work From Office Mandatory skills : Python, Django,Flask, SQL,MongoDB, GenAI, NLP, ML Libraries and AWS services or other cloud platforms(Azure,GCP) Job Description : Strong proficiency in Python and web frameworks(Django,Flask,FastAPI). Hands on experience with SQL,MongoDB,PL/SQL Proficiency in GenAI(AI powered chatbot,LLM based application,AI Models),NLP & ML algorithms. Experience in ML libraries such as Tensorflow,PYTorch or Scikit learn. (Optional) PowerBI reporting tool Hands on experience in AWS services or other cloud platforms(Azure,GCP) Strong knowledge of performance tuning and problem solving skills Mandate Skills: Python, Django, SQL, GenAI, NLP,ML Algorithm and AWS or Any cloud Platforms (Azure or GCP) Interested Candidates Please share the below mandate details with your resume to karthikeyini.t@techmango.net

Experience Range - 3-5Yrs Location- Noida/ Pune/ Chennai Interested candidates can share resumes at deepali.rawat@rsystems.com Requirement - PhD in Computer Science, Information Science, Mathematics, Statistics, Engineering, or a related field, OR a Master's degree with 2+ years of industry experience. Experience with machine learning and GenAI algorithms, including large language models. Proficiency in programming languages such as Python. Experience with cloud-based platforms (e.g., AWS, Azure). Strong problem-solving and analytical skills. Experience with deep learning algorithms and neural networks. Excellent communication and presentation skills

Design, develop, and deploy machine learning models and algorithms using Python. Implement computer vision solutions for image and video analysis. Develop natural language processing (NLP) applications for text analysis and understanding. Utilize analytics workbench tools to create and manage data pipelines and workflows. Collaborate with data scientists, software engineers, and other stakeholders to understand project requirements and deliver effective solutions. Conduct research and stay updated with the latest advancements in AI and ML technologies. Ensure the scalability and performance of AI/ML solutions through rigorous testing and optimization. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as an AI/ML Engineer or similar role. Strong proficiency in Python and its libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in computer vision techniques and tools (e.g., OpenCV, YOLO, Mask R-CNN). c (e.g., NLTK, spaCy, Transformers). Familiarity with analytics workbench tools and data pipeline management. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI/ML solutions. Knowledge of big data technologies (e.g., Hadoop, Spark).