About the Role We are looking for exceptional engineers to build systems for our very own employees and our customers. Our mission is to enhance Ubers corporate speed, reliability and worker happiness by building products, integrations and platforms. You will work closely with a highly capable team of engineers, data scientists, designers and product managers to ensure Uber's internal products and platforms are a powerful and innovative business advantage. The uSearch team is a part of BizTech that builds scalable, reliable, near realtime and robust enterprise integrations of a plethora of applications and services we build and use at Uber. What You'll Do: Apply leading Models to solve business problems Use models from GPT-* to LLama-* to solve wide range of business problems from sales tech, employee productivity, coding and automation Build RAG frameworks Build Langchain modules Model Development and Implementation: Design, develop, and deploy machine learning models to solve complex problems and improve user experiences, operational efficiency, or system performance. Utilize a variety of data sources, types, and structures to extract actionable insights through predictive analytics and data mining techniques. Research and Innovation: Stay abreast of the latest developments in the field of machine learning and artificial intelligence. Evaluate emerging trends and technologies for potential adoption to maintain and expand competitive advantage. Lead research initiatives that test new algorithms, evaluate new methodologies, and explore innovative uses of data that can lead to scalable solutions. Team Leadership and Development: Lead and mentor a team of machine learning engineers and data scientists. Ensure the continuous professional growth of team members through clear goal-setting, regular feedback, and development opportunities. Foster a collaborative and inclusive team environment that encourages innovation and iterative learning. Cross-Functional Collaboration: Work closely with product management, software engineering, and data engineering teams to integrate machine learning models into larger software systems and product offerings. Partner with stakeholders across the organization to understand business needs and translate them into technical requirements and actionable machine learning projects. Project Management: Oversee the full project lifecycle for multiple machine learning initiatives, from ideation and data collection to model development and deployment. Manage resources, timelines, and risks effectively, ensuring that projects meet their objectives and are delivered on schedule. Performance Monitoring and Model Optimization: Continuously monitor the performance of deployed models, identifying opportunities for improvement and optimization. Implement robust testing and validation strategies to ensure model accuracy and reliability over time. What You'll Need: Experience in applying Gen-AI/LLM in production Education: Bachelor's degree in Computer Science, Engineering, or a closely related field. Advanced degrees (Masters or PhD) in fields that emphasize software engineering or machine learning are preferred. Professional Experience: At least 7 years of experience in software development with a proven track record in both software engineering and research or applied machine learning projects. Technical Expertise: Expertise in programming using languages such as Python, Java, C++, or Scala. Proficient with modern software engineering tools and methodologies (e.g., version control, CI/CD, agile development practices). Extensive experience with machine learning libraries and frameworks like TensorFlow, PyTorch, or Keras. Data Proficiency: Strong capabilities in handling large datasets, with skills in SQL, NoSQL databases, data modeling, and ETL processes. Experience designing and implementing systems that collect, manage, and convert raw data into actionable insights through machine learning models. Machine Learning Application Experience: Solid foundation in applying machine learning algorithms to real-world problems, optimizing algorithms for scalability and performance. Hands-on experience in building, scaling, and maintaining production-level machine learning models.

Job Description: We are seeking an experienced Python Developer with a minimum of 8 years of hands-on experience working with Python and related web frameworks. The ideal candidate will have strong expertise in web application development, troubleshooting, and integrating machine learning models (nice to have). Key Responsibilities: Design, develop, test, and maintain web applications using Python and frameworks like Flask . Write clean, maintainable, and efficient code to support application functionality and performance. Troubleshoot, debug, and optimize applications to ensure smooth and efficient performance. Participate in code reviews, ensuring code quality and sharing technical knowledge within the team. Collaborate on integrating machine learning models and algorithms into web applications (nice to have). Work with relational databases such as PostgreSQL , MySQL , or similar technologies to manage and interact with data. Utilize Git for version control and adhere to software development best practices and design patterns. Collaborate closely with both technical teams and non-technical stakeholders, clearly articulating complex technical concepts. Proficiency in HTML , CSS , and JavaScript is a plus for full-stack collaboration. Required Skills and Experience: 8+ years of experience with Python and related web frameworks (e.g., Flask ). Strong understanding of relational databases like PostgreSQL or MySQL . Familiarity with version control systems such as Git . Excellent problem-solving abilities and the capability to work independently and as part of a team. Knowledge of software development best practices and design patterns . Nice to Have: Experience with machine learning frameworks such as TensorFlow , Keras , or scikit-learn . Familiarity with integrating machine learning models into web applications. Proficiency in front-end technologies like HTML , CSS , and JavaScript . Communication & Collaboration: Strong verbal and written communication skills. Ability to articulate complex technical concepts to non-technical stakeholders in a clear and understandable manner. Required Skills Mandatory Skills: Python + Flask/Django/FAST + Rest Api + SQL Good to have Skill: version control systems like Git,TensorFlow, Keras, scikit-learn

Paramatrix Technologies Pvt Ltd is looking for Sr AI/ML Engineer to join our dynamic team and embark on a rewarding career journey. We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team The Machine Learning Engineer will be responsible for designing, developing, and deploying machine learning models to solve complex problems and enhance our products or services The ideal candidate will have a strong background in machine learning algorithms, programming, and data analysis Responsibilities:Problem Definition:Collaborate with cross-functional teams to define and understand business problems suitable for machine learning solutions Translate business requirements into machine learning objectives Data Exploration and Preparation:Analyze and preprocess large datasets to extract relevant features for model training Address data quality issues and ensure data readiness for machine learning tasks Model Development:Develop and implement machine learning models using state-of-the-art algorithms Experiment with different models and approaches to achieve optimal performance Training and Evaluation:Train machine learning models on diverse datasets and fine-tune hyperparameters Evaluate model performance using appropriate metrics and iterate on improvements Deployment:Deploy machine learning models into production environments Collaborate with DevOps and IT teams to ensure smooth integration Monitoring and Maintenance:Implement monitoring systems to track model performance in real-time Regularly update and retrain models to adapt to evolving data patterns Documentation:Document the entire machine learning development pipeline, from data preprocessing to model deployment Create user guides and documentation for end-users and stakeholders Collaboration:Collaborate with data scientists, software engineers, and domain experts to achieve project goals Participate in cross-functional team meetings and knowledge-sharing sessions

Design, develop, and optimize Speech AI models in various tasks including Speech Recognition, Language Identification, Speaker Verification, and Speaker Diarization. Implement and fine-tune Conformer, Transformer, and other state-of-the-art neural network architectures for speech processing. Work with Python3, PyTorch, ONNX, and other related technologies for model building and deployment. Debug and troubleshoot issues in Torch, TensorFlow, and speech AI model servers. Optimize and deploy models using ONNX and other optimization tools to ensure high performance and scalability. Follow standard best practices for modular and clean code. Collaborate with cross-functional teams to integrate models into production environments. Work with version control systems like Git and utilize containerization for smooth deployment.

As a Data Scientist youll be working with innovative, multi-disciplinary teams which includes a group of colleagues from same or different disciplines. Proficiency in Python and SQL. Knowledge of additional programming languages (e.g., Java, Scala or C++) is a plus. Strong understanding of machine learning algorithms, including supervised and unsupervised learning, regression, classification, clustering and recommendation systems. Experience in building, training and deploying machine learning models using libraries such as Scikit-learn, TensorFlow, Keras, PyTorch or XGBoost. Familiarity with deep learning techniques and natural language processing (NLP). Knowledge of cloud platforms (AWS, GCP, Azure) for deploying models and handling large-scale data storage and processing. Ability to apply statistical methods to real-world data challenges and draw actionable conclusions. Experience in developing and deploying AI agents or autonomous systems for automating decision-making and operations.

Responsibilities Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. Job Description Design and implement AI models and machine learning algorithms. The role involves collaborating with data scientists to build intelligent systems and deploying models in production. Qualifications Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. Skills Proficiency in Python and machine learning libraries. Strong understanding of natural language processing (NLP). Experience with cloud-based AI services (AWS, Google AI). Strong problem-solving and analytical skills.

Job Type: Full time Job description: Experience of at least 3 years in developing models using Python/PySpark libraries. Experience with Databricks or Dataiku DSS (Data Science Studio) would be an added advantage. Strong experience with Scala/Python/Java and Spark is required. Strong proficiency in developing, training, and evaluating state-of-the-art machine learning models and deploying them is required. Proficiency in statistical and probabilistic methods such as SVM, Decision-Trees, Bagging and Boosting Techniques, and Clustering is needed. Proficiency in core NLP techniques such as Text Classification, Named Entity Recognition (NER), Topic Modeling, and Sentiment Analysis is required. Understanding Generative AI, Large Language Models, and Transformers would be an added advantage. Have hands-on experience in Python data-science and math packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, and Matplotlib. Proficiency in Python and common Machine Learning frameworks such as TensorFlow, NLTK, Stanford NLP, PyTorch, Ling Pipe, Caffe, Keras, SparkML, and OpenAI is required. Experience of working in large teams and using collaboration tools like GIT, Jira, and Confluence is a must. Good understanding of any of the cloud platforms such as AWS, Azure, or GCP is required. Understanding of Commercial Pharma landscape and Patient Data/Analytics would be a huge plus. Should have an attitude of willingness to learn, accepting the challenging environment, and confidence in delivering the results within timelines.

We are hiring a AIML Technical Lead for the Noida location. (To Confirm Please Drop a Whatsapp or call on 9205053694 Meenakshi ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9205053694 Meenakshi ) Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates. Sal upto 25 LPA (To Confirm Please Drop a Whatsapp or call on 9205053694 Meenakshi ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9205053694 Meenakshi ) Regards SPARK CONSULTANCY

We are hiring a AIML Technical Lead for the Noida location. (To Confirm Please Drop a Whatsapp or call on 9205053694 Meenakshi ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9205053694 Meenakshi ) Any graduate can apply. Job description Technical Skillset : Must Have Skills - Generative AI - GPT3, ML Ops and Python Proficient in Python, with experience in machine learning, deep learning, and NLP processing. Experience in developing and implementing generative AI models, with a strong understanding of deep learning techniques such as GPT, VAE, and GANs. Proficient in Langchain, LLM Prompt Engineering : The engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations. Model Evaluation & Optimization : Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Response Quality : Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app. It is essential to have a solid understanding of data structures, algorithms, and principles of software engineering. Experience with vector databases RDBMS, MongoDB and NoSQL databases. Proficiency in working with embeddings. Strong distributed systems skills and system architecture skills Experienced in building and running a large platform at scale. Hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark, or similar statistical tools. Experience as data modeling ML/NLP scientist. including, but not limited to, Performance tuning, fine-tuning, RLHF, and performance optimization. Validated background with ML toolkits, such as PyTorch, TensorFlow, Keras, Langchain, Llamadindex, SparkML, or Databricks. Proficient with the integration of data from multiple data sources Experience with NoSQL databases, such as HBase, ElasticSearch, and MongoDB API Design. API/Data mapping to schema. Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology. Good Knowledge of Kubernetes, and RESTful design. Prior experience in developing public cloud services or open-source ML software is an advantage Role and responsibilities - Collaborating with cross-functional teams to define AI project requirements and objectives ensuring alignment with overall business goals Conducting research to stay up to date with the latest advancements in generative AI machine learning and deep learning techniques and identify opportunities to integrate them into our products and services. Optimizing existing generative AI models for improved performance scalability and efficiency. Active participation in developer communities, open-source contributions, or personal GenAI projects Work closely with the GenAI development team to integrate AI models and applications with the existing/new tool, quality, and performance. Act as an authority, guiding junior engineers and collaborating teams, fostering a culture of development excellence, collaboration, and continuous learning. Evaluating and selecting appropriate AI tools and machine learning models for tasks, as well as building and training working versions of those models using Python and other open-source technologies Working with leadership and stakeholders to identify AI opportunities and promote strategy. Serve as a technical lead, overseeing and supervising projects and engineers on the team. Play a leading hands-on role in the design and implementation of our ML infrastructure and GenAI platform software technologies. Drive our technology vision and roadmap. Establish software development best practices, and lead by example in applying them Experience contributing to the architecture and design of large scale distributed systems and/or ML systems and tools Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions Strong sense of software design and usability of ML systems Experience applying software engineering methodologies and best practices including coding standards, code reviews, build processes, testing, and security. Proven experience as a Engineering Lead, hands on Software Engineering Manager, or similar role Develop natural language processing (NLP) solutions using GenAI, LLMs and custom transformer architectures. Adopt and customize LLM agent-based orchestration tools (LlamaIndex, Langchain, Semantic Kernel) for enterprise applications and use cases Implement information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Developing and/or tune Large Language Models (LLM) and Generative AI (GAI) Analyze, design, develop, support and maintain Big Data environment and code base, support traditional data pipelines and processes. Education Computer science, Data Engineering, or a related field graduates. Sal upto 25 LPA (To Confirm Please Drop a Whatsapp or call on 9205053694 Meenakshi ) ( In case The Number Is Busy, Please Drop A Whatsapp @ 9205053694 Meenakshi ) Regards SPARK CONSULTANCY

Job description Location: Pan India Experience: 5+ years Job Type: 3 years Contractual Work Mode: Hybrid (Frequent On-Site Travel) Responsibilities: Design and develop Al algorithms and models that align with the company's objectives and requirements. Analyze complex data sets to extract valuable insights and patterns that contribute to the improvement of Al systems and products. Create Al solutions tailored to specific business needs, including problem identification, solution development, and implementation planning. Integrate Al systems seamlessly with existing infrastructure and platforms to ensure efficient and effective operations across the organization. Perform rigorous testing and validation of Al models to ensure their accuracy, reliability, and performance in real-world scenarios. Regularly maintain and update Al systems to incorporate the latest advancements and ensure optimal functionality & security. Work closely with cross functional teams to understand business requirements and effectively implement Al solutions to address complex challenges. Maintain comprehensive documentation of Al projects, including methodologies, results, and recommendations, and are detailed for Qualifications & Requirements A degree in computer science, engineering. or a related field. Demonstrated experience in Al research and development, preferably in a professional capacity. Proficiency in programming languages such as Python & Java, as well as in Al frameworks and tools like TensorF10w, PyTorch, or Keras. Strong analytical and problem-solving skills, with the abillty to comprehend complex datasets and develop effective solutions. Experience in machine learning, natural language processing, or computer vision, a strong understanding of the underlying algorithms and techniques. A track record of successfully delivering Al projects and initiatives, with a focus on innovation and practical application. Candidate should be ready to travel abroad.

- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLP/Text mining with 5 years of relevant industry experience. - Creativity, resourcefulness, and a collaborative spirit. - Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classifications of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation. - Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc. - Proficient programming skills in a high-level language (e.g. Python, R, Java, Scala) - Being comfortable with rapid prototyping practices. - Being comfortable with developing clean, production-ready code. - Being comfortable with pre-processing unstructured or semi-structured data. - Experience with statistical data analysis, experimental design, and hypothesis validation. Project-based experience with some of the following tools: - Natural Language Processing (e.g. Spacy, NLTK, OpenNLP or similar) - Applied Machine Learning (e.g. Scikit-learn, SparkML, H2O or similar) - Information retrieval and search engines (e.g. Elasticsearch/ELK, Solr/Lucene) - Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab - Databases ( traditional and NOSQL) - Proficiency in traditional Machine Learning models such as LDA/topic modeling, graphical models, etc. -Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.

- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLP/Text mining with 5 years of relevant industry experience. - Creativity, resourcefulness, and a collaborative spirit. - Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classifications of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation. - Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc. - Proficient programming skills in a high-level language (e.g. Python, R, Java, Scala) - Being comfortable with rapid prototyping practices. - Being comfortable with developing clean, production-ready code. - Being comfortable with pre-processing unstructured or semi-structured data. - Experience with statistical data analysis, experimental design, and hypothesis validation. Project-based experience with some of the following tools: - Natural Language Processing (e.g. Spacy, NLTK, OpenNLP or similar) - Applied Machine Learning (e.g. Scikit-learn, SparkML, H2O or similar) - Information retrieval and search engines (e.g. Elasticsearch/ELK, Solr/Lucene) - Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab - Databases ( traditional and NOSQL) - Proficiency in traditional Machine Learning models such as LDA/topic modeling, graphical models, etc. -Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.

- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLP/Text mining with 5 years of relevant industry experience. - Creativity, resourcefulness, and a collaborative spirit. - Knowledge and working experience in one or more of the following areas: Natural Language Processing, Clustering and Classifications of Text, Question Answering, Text Mining, Information Retrieval, Distributional Semantics, Knowledge Engineering, Search Rank and Recommendation. - Deep experience with text-wrangling and pre-processing skills such as document parsing and cleanup, vectorization, tokenization, language modeling, phrase detection, etc. - Proficient programming skills in a high-level language (e.g. Python, R, Java, Scala) - Being comfortable with rapid prototyping practices. - Being comfortable with developing clean, production-ready code. - Being comfortable with pre-processing unstructured or semi-structured data. - Experience with statistical data analysis, experimental design, and hypothesis validation. Project-based experience with some of the following tools: - Natural Language Processing (e.g. Spacy, NLTK, OpenNLP or similar) - Applied Machine Learning (e.g. Scikit-learn, SparkML, H2O or similar) - Information retrieval and search engines (e.g. Elasticsearch/ELK, Solr/Lucene) - Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab - Databases ( traditional and NOSQL) - Proficiency in traditional Machine Learning models such as LDA/topic modeling, graphical models, etc. -Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.

Long Description Study and transform data science prototypes. Design machine learning systems Research and implement appropriate ML algorithms and tools. Develop machine learning applications according to requirements. Select appropriate datasets and data representation methods. Run machine learning tests and experiments. Perform statistical analysis and fine-tuning using test results. Train and retrain systems when necessary. Extend existing ML libraries and frameworks. Keep abreast of developments in the field.

Hiring for AI Developer Mandatory 8CGPA From IIT ONLY Experience : 1+year Budget : Upto 25LPA Location : Gurgaon, Haryana Skills : AI, ML, Data science, SQL, Python, LLM, tensorflow, any cloud If Interested share your resume on hre@raymoon.in Thanks

Job description Role & responsibilities Design and develop AI architectures that support high-performance, scalable AI and machine learning systems. Work with stakeholders to identify AI opportunities and translate business requirements into AI solutions. Lead the research and development of AI models, including natural language processing (NLP), computer vision, and deep learning techniques. Collaborate with data scientists, data engineers, and software engineers to develop, train, and deploy AI models. Ensure the efficient deployment of AI systems in production environments, ensuring robustness and scalability. Evaluate and recommend AI tools, frameworks, and best practices for effective AI development. Keep up to date with the latest advancements in AI and machine learning technologies and apply them to improve AI architecture. Conduct code reviews, troubleshoot, and optimize AI models and algorithms. Ensure compliance with data security, privacy, and ethical AI standards. Mentor and guide junior engineers and AI developers in best practices for AI model development. Hands-on experience with AI/ML frameworks and libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn. Preferred candidate profile Proven experience as an AI Architect, AI/ML Engineer, or a similar role. Team handling experience if having 5 years or plus experience. Excellent problem-solving skills with the ability to handle complex AI challenges. Strong expertise in machine learning algorithms, neural networks, and deep learning techniques. Strong communication skills to effectively interact with technical and non-technical stakeholders.

Collect business requirements and translate them into machine learning solutions. Prepare data for ML applications. Build ML models using supervised, unsupervised, or deep learning techniques. Optimize AI solutions for latency, speed, and accuracy, ensuring they are performant under high demand. Develop and integrate models into existing systems, ensuring smooth operation in the production environment. Stay up-to-date with the latest AI/ML trends and apply new techniques to improve existing systems. Collaborate with other team members. Requirements and Skills Should be interested to work in a startup culture/ecosystem. Willingness to learn with a "Never Die Attitude." Ability to work independently as well as in a team. Skilled in LLaMA models and transformer-based architectures, with experience in fine-tuning and adapting LLMs for specific tasks. Strong understanding of LLMs, RAG, and vector databases. Skilled in Python and ML libraries like TensorFlow, PyTorch, scikit-learn, and experience with data manipulation libraries (e.g., Pandas, NumPy). Knowledge of deploying ML models in production environments and familiarity with MLOps tools like Docker, Kubernetes, and CI/CD platforms. Proficiency in generative AI methodologies such as text generation, style transfer, speech recognition, image synthesis, and familiarity with tools and diffusion models. Strong commitment to ethical AI practices, including transparency, fairness, bias mitigation, and compliance with data privacy laws. Expertise in scaling machine learning models for high-traffic environments.

As a Senior Speech Engineer you will be responsible for development of the speech recognition systems. Responsibilities: Development of ASR systems using Kaldi, ESPnet and/or using PyTorch or Tensorflow. Work towards improvement of the existing systems. Development of E2E ASR systems with un-supervised / semi-supervised techniques. Experimenting with the latest technologies and architectures. Requirements: 3-5 Years of work experience. At least 1 years of hands-on experience developing Speech Recognition systems using Kaldi, ESPNET, PyTorch Kaldi, DeepSpeech etc. Strong programming experience in Python and/or C/C++. Strong analytical skills and problem solving skills. Basic understanding of machine learning techniques. Good To Have: Understanding of Pandas, Numpy. Understanding of NLU systems. Understanding of Language modeling techniques. Large scale deployment of speech recognition systems.

Job Title Data Science - Lead Responsibilities Develop and Implement AI SolutionsDesign, develop, and deploy AI models and algorithms to solve business problems and improve operational efficiency. Generative AI ProjectsWork on generative AI projects, including natural language processing (NLP), computer vision, and other related areas. Data Analysis and InsightsAnalyze large datasets to extract actionable insights and support data-driven decision-making. Collaborate with TeamsWork closely with product owners, data scientists, and engineers to integrate AI solutions into platform and services. Research and InnovationStay updated with the latest advancements in AI and analytics, and apply innovative techniques to enhance our capabilities. Performance MonitoringMonitor and evaluate the performance of AI models and continuously improve them based on feedback and new data. Documentation and ReportingDocument processes, methodologies, and results, and present findings to stakeholders. Technical and Professional Requirements: Proficiency in programming languages such as Python. Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras). Strong understanding of machine learning algorithms and statistical methods. Hands-on experience with data preprocessing, fine tuning, feature engineering, and model evaluation. Analytical Skills: Excellent problem-solving skills and the ability to analyze complex data sets. Preferred Skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL Technology->Machine Learning->H2O Technology->Machine Learning->NLP-Speech Analytics Technology->Machine Learning->Python Additional Responsibilities: EducationBachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. ExperienceMinimum of 3 years of experience in AI, generative AI, and analytics. Educational Requirements Master Of Comp. Applications,Master Of Technology,Bachelor Of Comp. Applications,Bachelor of Engineering,Bachelor Of Technology Service Line Platforms & Services Unit * Location of posting is subject to business requirements

About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Expertise in MLOps frameworks and hands on experience in MLOps tools preferably Google Vertex ai 2 plus years of experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient programming in Scala and/ or Python/Pyspark Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark Experience in handling streaming data and real-time forecasting solutions deployment Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented - able to meet tight timelines Motivated, team player with ability to collaborate effectively across global team Understanding of retail industry and pricing concepts is added advantage Bonus Points: Extensive experience with Deep Learning frameworks TensorFlow, Pytorch or Keras PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field Extensive experience developing highly distributed ML systems at scale Familiarity with Vertex AI and Cloud ML ecosystem will be desirable Experience in mentoring the junior team members ML skillset and career development

Principal Data Scientist As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. As Principal Data Scientist , you will join a Data Sciences team responsible for creating highly personalised offers for our Guests. You will play crucial role in designing, implementing, and optimising the large scale machine learning solutions in production. We will also expect you to understand best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. Also, we expect you to guide the ML talent in the team on both algorithms and engineering. Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs. Requirements: 10 + or more years of extensive experience in Machine Learning, Data science. Worked extensively on ML algorithms like linear models, tree based algos and Deep neural networks. Architect performant ML solutions that are built to scale and adopt guiding principles of automation, efficiency and reusability.? Strong experience in one of the general programming languages (Python or Java). Familiarity with Big Data frameworks Like Hadoop and Spark is essential. Familiarity with Machine learning frameworks like TensorFlow, Pytorch or Keras is preferred. Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives. Drive creation of new standards and best practices with a focus on emerging technologies and author various project related documents and technical roadmaps.? Work in partnership with data scientists, software engineers and product managers to understand the business requirements and translate them to machine learning solutions. Stay up-to-date with the latest advancements in recommendations and AI research Self-driven and results oriented; able to meet tight timelines; Team player with ability to collaborate effectively across geographies. Mentor team members and partners on effective data science modelling and outcomes.? Preferred: MS or PhD in a quantitative field Experience with developing highly distributed ML systems and online recommendation systems. Not mandatory.

Role & responsibilities AI developer with Web, Mobile, AI, Android, Flutter, PHP, REACT-NODE, python-django, ML/DL Internships are available For Junior developers, we will train you in live AI/IOT/Web/Mobile projects. Full time opportunity after Successful Internships. Additional training will be provided for freshers. Preferred candidate profile Fast self learner. AI with Full stack exposure to REACT,NODE,JSP, PHP-Laravel, Python-django, Android, etc . Good understanding of complex Data base and SQL with healthcare and business application exposure is required.

Entity :- Accenture Strategy & Consulting Team :- Global Network - Data & AI Practice :- Banking & Financial Services Analytics Title :- Consultant Level 9 Job location :- Bengaluru, Gurugram, Mumbai About S&C - Global Network Data & AI :- Accenture Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling to outperform the competition. Role Overview :- As an experienced financial services professional, your market-leading industry, management and technology expertise will provide critical solutions that answer unparalleled strategic, operational, technology and sourcing demands. And, in doing so, youll improve the future of the global financial services industry. Accenture serves the worlds leading financial services organisations across three industry groups Central Banks:Monetary authorities, reserve banks across globe Banking :Retail and commercial banks and diversified financial institutions. Capital Markets :Investment banks, broker/dealers, asset & wealth management firms, depositories, exchanges, clearing & settlement organisations. What's in it for you You'll be part of a diverse, vibrant, global Accenture data science community, continually pushing the boundaries of analytical capabilities Get to work with top financial clients globally Build new skills, grow existing skills, develop new areas of expertise within functional and technical areas of business Get access to resources that will allow you to leverage the latest technologies and bring innovation to life with the world's most recognizable companies What you would do in this role Work closely with clients to understand their business goals and challenges. Develop data strategies aligned with business objectives and industry best practices. Collaborate with business stakeholders to understand analytical requirements and deliver actionable insights Identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights Develop and implement predictive models to assess and manage financial risks, leveraging advanced data science techniques. Build predictive models to assess and maximize Customer Lifetime Value, enabling targeted retention and acquisition strategies. Help in responding to RFP's and design POVs Working across client teams to develop and architect Generative AI solutions using ML and GenAI Implement data security measures to safeguard sensitive financial information and ensure adherence to industry standards. Qualifications Who we are looking for? 3-8+ years of experience in Data Scienece preferably with financial services clients Bachelors or masters degree in a relevant field Computer Science / Statistics / Data Science / Econometrics / Economics / Engineering from reputed institute or MBA from Tier1 colleges Proficiency in programming languages such as Python, R, Scala,pyspark Possess strong analytical skills to derive meaningful insights from complex data sets Experience with data visualization tools (Tableau, Power BI, etc.) Knowledge of Data Science and Machine Learning concepts and algorithms such as clustering, regression, classification, forecasting, hyperparameters optimization, NLP, computer vision, speech processing; understanding of ML model lifecycle would be an asset Experience in Supervisory analytics (like Network Analytics, IFRS9 / Basel, Risk Analytics, Balance of Payments Analytics, Licensing analytics, AML etc) is a plus Strong domain experience in one of the following: Central banks (Monetary / Regulatory / Compliance / BASEL), Commercial Banking, Asset & Wealth management Proven experience in one of data engineering, data governance, data science roles Experience in Generative AI or Central / Supervisory banking is a plus. Experience with any Cloud Technologies (MS Azure, GCP, AWS) Familiarity with Deep Learning concepts & tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.) is a plus. Excellent communication and client-facing skills Ability to work independently and collaboratively in a team Project management skills and the ability to manage multiple tasks concurrently Strong written and oral communication skills Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Product Website: WORK LOCATION Mumbai RESPONSIBILITY: Jigserv Digital is looking for Data Scientist to lead a Data Driven Architectures for both the Jigya Platforms as well as supervising some of our client projects in the space of Data Science and Analytics . As a Data Scientist, you will have the opportunity to setup a robust data and machine learning infrastructure to develop models that impact millions of users and solve challenging business problems. You will work with engineers, and product managers to develop and iterate on models to help us grow our business. The right resource will have the ability to build a world-class applications that are reliable, fast, responsive, and beautiful, delivering a breath-taking product experience to our users Our Data Scientist will have the following attributes: Displays a strong work ethic and sense of urgency. Demonstrates strong initiative to make things happen. Work with Product Management to plan and prioritize releases. Support product management in developing a product roadmap. Run an effective Scrum process by facilitate Iteration Planning Meetings, Retrospectives and Daily Stand-ups Figuring out the application infrastructure to support App Intelligence and Recommendations Engine. Example Projects Showing the most relevant content in the users Feed based on his Interest, Location, Past behaviour with content and various other parameters. Identifying Trending Insights, Courses, Jobs, Events etc. Qualification / EXPERIENCE 2+ years of industry experience developing Machine Learning Models with business impact more experience preferred. B.Tech, B.E, B.S., M.S., or PhD. in Statistics, Computer Science, Math, Physics, Economics, or other quantitative field Deep understanding of AI / Statistics / Machine Learning, particularly Recommendation Systems, Search and Deep Learning techniques Demonstrated programming abilities in Python and Numpy / Pandas Experience productionizing Machine Learning models, in the cloud (GCP or AWS preferred)

No. of Positions - 2 Office Location - Bangalore & Chennai. Your work location - Permanent work from home. T.E. -4 to 10 yrs Position: Data Scientist / Architect for experienced candidates. Location: Offshore NP - Immediate to 7 days from the date of the offer Mode - Direct Payroll. Your Vertical in Kumaran - Banking Vertical - Investment banking. Shift timing - 10.30 am to 7 pm. Weekend - Sat and Sun. Interview mode - online - VC via MS Teams. Duration of interviews - 30 mins. No. of interviews - 2 - L1, L2 from India. Roles and Responsibilities: Strong in Python programming with excellent in Data Structure, Algorithms, REST, FastAPI, Flask, and RDBMS. With an excellent understanding of ML / DL / ANN concepts Good experience in programming with ML libraries Scikit-learn, Keras and/or PyTorch with a good understanding of ML / DL / ANN concepts . Working experience in GenAI technologies, particularly LLM experience like GPT / Llama2 / Gemini / Hugging Face etc., Working experience in Prompt Engineering, Model training, Lang Chain, Semantic Kernel, Speech, and Text. Good experience in Flask, Rest API, Django, and Fast API will be an added advantage. Good understanding of Distributed computing, microservices, Docker etc. Cloud experience preferably in Azure services Resumes are to be shared with devika.raju@kumaran.com or WhatsApp 8122770798