We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Knowledge of the MLOps process and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

Artificial Intelligence/Machine Learning Engineer - Neo4j/Deep Learning Role : AI/ML Engineer Location : Bangalore Experience : 3-4 Years Joining : Immediate (Preferred) Key Responsibilities : - Design, develop, and deploy AI/ML models for data-driven applications. - Work with Neo4j (Graph Database) to model and analyze complex relationships in datasets. - Implement machine learning algorithms for recommendation systems, predictive analytics, and knowledge graphs. - Develop and optimize graph-based data pipelines and algorithms using Neo4j Cypher queries. - Process, clean, and analyze large datasets for feature engineering and model training. - Integrate ML models into scalable applications using Python, TensorFlow, PyTorch, or Scikit-learn. - Optimize model performance, accuracy, and scalability for production deployment. - Collaborate with data scientists, backend engineers, and product teams to enhance AI capabilities. Required Skills : - Machine Learning & Deep Learning : Hands-on with ML models, classification, clustering, NLP. - Neo4j & Graph Databases : Experience in graph data modeling, Cypher queries, and data relationships. - Programming : Proficiency in Python, TensorFlow, PyTorch, Scikit-learn. - Data Engineering : Experience with ETL pipelines, data preprocessing, and feature engineering. - Big Data & Cloud : Exposure to Spark, Kafka, AWS/GCP/Azure (Good to have). - MLOps & Deployment : Working knowledge of Docker, Kubernetes, CI/CD pipelines. - Strong Analytical & Problem-Solving Skills for AI-driven applications. Good to Have : - Experience with Graph Neural Networks (GNNs) and Graph Data Science. - Knowledge of NLP, Computer Vision, or Time-Series Analysis. - Exposure to automated ML pipelines and model monitoring.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Knowledge of the MLOps process and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights. - Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success. - Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field. - Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus. - Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives. - Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn). - Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch. - Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing. - Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.) - Knowledge of the MLOps process and AI governance - Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making. - Excellent verbal and written communication skills - Proven experience leading data science projects, managing timelines, and delivering results within deadlines. - Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

StratAspire Innovations is seeking a highly skilled and dynamic Lead Cloud Solutions Architect to spearhead our GCP (Google Cloud Platform) practice. This is a hands-on, technical leadership role where you will design, implement, and optimise cloud solutions, lead migration projects, provide pre-sales technical expertise, and mentor a growing team of cloud engineers. As a GCP Premier Partner specialising in generative AI, we are at the forefront of cloud innovation, and you will play a pivotal role in shaping our clients' cloud journeys and driving our technical excellence. We are a seeding stage startup, who is looking for solid techies to setup our tech for our Cloud and AI/block chain setups. We are hiring for following two roles: 1.Cloud Engineer (GCP Migration Specialist): 3 to 8 years Experience: 3+ years of hands-on experience with GCP , including expertise in migration planning and execution. Certifications: Google Cloud Professional Cloud Architect or equivalent certifications highly desired. Technical Skills: Strong understanding of GCP core services (Compute Engine, Cloud Storage, Networking, etc.) Expertise in migration tools and strategies (Cloud Foundation Toolkit, Velostrata, etc.) Proficiency in infrastructure as code (IaC) tools (Terraform, Cloud Deployment Manager) Experience with containerization and orchestration (Docker, Kubernetes) Familiarity with DevOps practices and CI/CD pipelines 2. Lead Cloud Solutions Architect: 6 to 12 years Experience: 5+ years of hands-on experience with GCP, demonstrating expertise in cloud architecture, migration, infrastructure design, and team leadership. Certifications: Google Cloud Professional Cloud Architect or equivalent certification is mandatory. Additional GCP certifications in areas like data engineering, machine learning, or security are highly valued. Technical Skills: Deep understanding of GCP core services , best practices, and architectural patterns. Mastery of migration tools and methodologies. Strong proficiency in infrastructure as code (IaC), automation tools (Terraform, Cloud Deployment Manager), containerization, and orchestration. Experience with generative AI and machine learning technologies on GCP is a plus.

About Position As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments. Role : AL ML Engineer Location: Bengaluru, Hyderabad Experience: 2-6 years What You'll Do Fine-tuning generative AI models to enhance performance. Designing AI Agents for conversational AI applications. Experimenting with new techniques to develop models for observability use cases Building and maintaining inference pipelines for efficient model deployment. Managing deployment and model versioning pipelines for seamless updates. Developing tooling to continuously validate models in production environments. What we're looking for: 2-6 Years Demonstrated proficiency in software engineering design practices. Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred. Experience working with transformer models and text embeddings. Proven track record of deploying and managing ML models in production environments. Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy. Preferred experience developing production-grade applications in Python. Proficiency in Kubernetes and containers. Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. Expertise in Python, C++, Kotlin, or similar programming languages. Experience designing, developing, and testing scalable distributed systems. Familiarity with message broker systems (e.g., Kafka, RabbitMQ). Knowledge of application instrumentation and monitoring practices. Experience with ML workflow management, like AirFlow, Sagemaker, etc. Familiarity with the AWS ecosystem. Past projects involving the construction of agentic language chains. Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, Annual health, check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Note: We are Preferring candidates from premium institutes and product firms

About Position As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments. Role : AL ML Engineer Location: Bengaluru, Hyderabad Experience: 2-6 years What You'll Do Fine-tuning generative AI models to enhance performance. Designing AI Agents for conversational AI applications. Experimenting with new techniques to develop models for observability use cases Building and maintaining inference pipelines for efficient model deployment. Managing deployment and model versioning pipelines for seamless updates. Developing tooling to continuously validate models in production environments. What we're looking for: 2-6 Years Demonstrated proficiency in software engineering design practices. Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred. Experience working with transformer models and text embeddings. Proven track record of deploying and managing ML models in production environments. Familiarity with common ML/NLP libraries such as PyTorch, Tensorflow, HuggingFace Transformers, and SpaCy. Preferred experience developing production-grade applications in Python. Proficiency in Kubernetes and containers. Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. Expertise in Python, C++, Kotlin, or similar programming languages. Experience designing, developing, and testing scalable distributed systems. Familiarity with message broker systems (e.g., Kafka, RabbitMQ). Knowledge of application instrumentation and monitoring practices. Experience with ML workflow management, like AirFlow, Sagemaker, etc. Familiarity with the AWS ecosystem. Past projects involving the construction of agentic language chains. Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards, Annual health, check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Note: We are Preferring candidates from premium institutes and product firms

We are hiring for our client, who is an Indian multinational technology services company based in Pune. It is primarily engaged in cloud computing, internet of things, endpoint security, big data analytics and software product engineering services. About Position : As a crucial member of our team, you'll play a pivotal role across the entire machine learning lifecycle, contributing to our conversational AI bots, RAG system and traditional ML problem solving for our observability platform. Your tasks will encompass both operational and engineering aspects, including building production-ready inference pipelines, deploying and versioning models, and implementing continuous validation processes. On the LLM side you'll fine-tune generative AI models, design agentic language chains, and prototype recommender system experiments. Role: AL ML Engineer Location: Bengaluru Experience : 2-6 years What You'll Do Fine-tuning generative AI models to enhance performance. Designing AI Agents for conversational AI applications. Experimenting with new techniques to develop models for observability use cases Building and maintaining inference pipelines for efficient model deployment. Managing deployment and model versioning pipelines for seamless updates. Developing tooling to continuously validate models in production environments. What we're looking for: 2-6 Years Demonstrated proficiency in software engineering design practices. Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degree (Master's or Ph.D.) preferred. Experience working with transformer models and text embeddings. Proven track record of deploying and managing ML models in production environments. Familiarity with common ML/NLP libraries such as PyTorch, TensorFlow, HuggingFace Transformers, and SpaCy. Preferred experience developing production-grade applications in Python. Proficiency in Kubernetes and containers. Familiarity with concepts/libraries such as sklearn, kubeflow, argo, and seldon. • Expertise in Python, C++, Kotlin, or similar programming languages. Experience designing, developing, and testing scalable distributed systems. Familiarity with message broker systems (e.g., Kafka, RabbitMQ). Knowledge of application instrumentation and monitoring practices. Experience with ML workflow management, like AirFlow, Sagemaker, etc. Familiarity with the AWS ecosystem. Past projects involving the construction of agentic language chains. Benefits : Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company sponsored higher education and certifications Opportunity to work with cutting-edge technologies Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents .

- Working knowledge of deep learning, statistics. - Experience in Deep learning using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and LSTM - Strong knowledge on deep learning applications with computer vision, image captioning, video analysis, image manipulation, image segmentation, object detection and feature mapping. - Thorough understanding of state-of-the-art DL concepts (Sequence modelling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data. - NLP expertise, especially in Language modelling, experience in using pre-trained language models (Transformer /GPT /BERT). - Knowledge of the Industry 4.0 process - inventory optimization, smart factory, times optimization, quality control, and industrial automation. - Great programming skills with expertise in Python development standards. - Familiarity with code production standards and version control systems - Excellent communication skills

- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLPText 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. ElasticsearchELK, SolrLucene) - Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab - Databases ( traditional and NOSQL) - Proficiency in traditional Machine Learning models such as LDAtopic modeling, graphical models, etc. -Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.

Job Requirements : - 3+ Years of experience in machine learning and AI analytics. - Expert knowledge in Python, R, Anaconda, Ai, ML, Deep Learning, Neural networks, NLP. - Manufacturing domain - predictive and online quality analytics - experience would be preferred. - Knowledge in machine learning models using model-based clustering and generic algorithms for predictions. - Good educational background - Math and Stat application. - Methodical and Aggressive learner. - Must have APICS CPIM Certification

- 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.

Job Requirements : - 3+ Years of experience in machine learning and AI analytics. - Expert knowledge in Python, R, Anaconda, Ai, ML, Deep Learning, Neural networks, NLP. - Manufacturing domain - predictive and online quality analytics - experience would be preferred. - Knowledge in machine learning models using model-based clustering and generic algorithms for predictions. - Good educational background - Math and Stat application. - Methodical and Aggressive learner. - Must have APICS CPIM Certification.

- 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.

- Working knowledge of deep learning, statistics. - Experience in Deep learning using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and LSTM - Strong knowledge on deep learning applications with computer vision, image captioning, video analysis, image manipulation, image segmentation, object detection and feature mapping. - Thorough understanding of state-of-the-art DL concepts (Sequence modelling, Attention, Convolution etc.) along with knack to imagine new schemas that work for the given data. - NLP expertise, especially in Language modelling, experience in using pre-trained language models (Transformer /GPT /BERT). - Knowledge of the Industry 4.0 process - inventory optimization, smart factory, times optimization, quality control, and industrial automation. - Great programming skills with expertise in Python development standards. - Familiarity with code production standards and version control systems - Excellent communication skills

- Must have 2+years of work experience as Data Scientist - Strong hands on Python programming - Good to have python libraries like Numpy & Pandas - Working experience in Machine Learning and Deep Learning is Must - Should have deployment experience - Experience in Deep learning using Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN) and LSTM. - Should have done minimum Projects in Deep learning, NLP and having hands on experience in Model Deployment . - Thorough understanding of state - of - the - art DL concepts (Sequence modelling, Attention, Convolution etc.) along with knack to imagine new schema. - Candidate should have knowledge on Front end design is added advantage . - Knowledge on MLOPS, data factory, data bricks and time series forecasting is mandatory .

- PhD or MS in Computer Science, Computational Linguistics, Artificial Intelligence with a heavy focus on NLPText 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. ElasticsearchELK, SolrLucene) - Distributed computing platforms, such as Spark, Hadoop (Hive, Hbase, Pig), GraphLab - Databases ( traditional and NOSQL) - Proficiency in traditional Machine Learning models such as LDAtopic modeling, graphical models, etc. -Familiarity with Deep Learning architectures and frameworks such as Pytorch, Tensorflow, Keras.

Job Requirements : - 3+ Years of experience in machine learning and AI analytics. - Expert knowledge in Python, R, Anaconda, Ai, ML, Deep Learning, Neural networks, NLP. - Manufacturing domain - predictive and online quality analytics - experience would be preferred. - Knowledge in machine learning models using model-based clustering and generic algorithms for predictions. - Good educational background - Math and Stat application. - Methodical and Aggressive learner. - Must have APICS CPIM Certification

- 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.

Job Requirements : - 3+ Years of experience in machine learning and AI analytics. - Expert knowledge in Python, R, Anaconda, Ai, ML, Deep Learning, Neural networks, NLP. - Manufacturing domain - predictive and online quality analytics - experience would be preferred. - Knowledge in machine learning models using model-based clustering and generic algorithms for predictions. - Good educational background - Math and Stat application. - Methodical and Aggressive learner. - Must have APICS CPIM Certification.

AI/ML Lead Experience: 6-10 Years Exp. Salary : INR 20,00,000-40,00,000 / year Preferred Notice Period : Within 30 Days Shift : 09:00AM to 6:00PM IST Opportunity Type: Onsite (Aurangabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Gen AI, LLM, Pytorch, TensorFlow, Machine Learning, NLP Good to have skills : Architecture, ML Model Design, Cloud Server (Google / AWS) STL - Sterlite Technologies Limited (One of Uplers' Clients) is Looking for: AI/ML Lead who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description As a Lead Engineer, your impact will be to maintain and engineer data engineering, development, optimization and deployment of deep learning models for fiber optic sensors and be the cornerstone of defining software architecture for this exciting business unit. Role Title AI/ML Lead Role Purpose Responsible for developing and deploying the ML tools for the Fiber sensing system What the role entails (Key Responsibilities) Driven by innovation, design, plan and implement Data & (Gen)AI architectures including the associated roadmaps, where you work together with Enterprise Architects and Senior Management up to C-Level on the customer side Design and set up experiments for collecting, labeling, analyzing data of different kinds of events from fiber based sensor solutions i.e. establish and lead data engineering practices and pipelines. Assess the effectiveness and accuracy of data sources and data-gathering techniques ¢ Develop automation methods for faster labeling of collected data ¢ Create architectural approaches for AI software and hardware integration ¢ Define AI solution objectives and ensure alignment with business outcomes ¢ Implement best practices for AI testing, deployment, and maintenance ¢ Develop Machine Learning and Deep Learning methods for event detection and classification ¢ Develop efficient frameworks for training and evaluating the event detection/classification models ¢ Track the innovations in AI/ML technologies and algorithms/processing/ computation and its implementation to develop next-generation fiber sensing solution ¢ Review and Optimize existing code/algorithm ¢ Create systematic plans to run the experiments to fine-tune the event detection/classification models ¢ Plan the tasks and provide estimates and timelines ¢ Support marketing/sales team with application notes, white papers and presentations ¢ Contribute to simulation model development and data analysis of various sensor solutions ¢ Central point of contact, engineer and maintain external consultant work packages. ¢ Central point of contact, design and plan software architecture, testing and reliability criteria for on-edge and cloud-based software. What we are looking for in you ¢ Experience in designing AI applications and knowledge of machine learning frameworks like TensorFlow or PyTorch ¢ Proven ability to lead and manage AIML projects with cross-functional teams ¢ Strong communication skills to effectively collaborate with various stakeholders ¢ Critical thinking and problem-solving skills are essential ¢ Experience with ethical AI practices and ensuring compliance with data protection regulations ¢ Tinkering mindset, ability to find solutions in complex situations to satisfy business needs, ability to think on your feet. ¢ Excellent problem-solving, analytical, and communication skills ¢ Rigorous understanding of the fundamentals of Statistics, Classical Machine Learning and Deep Learning ¢ Experience with data tools and data pipelines ¢ Experience working on both local machines or cloud platforms such as AWS, Azure and, preferably GCP ¢ Experience putting models into production ¢ Experience of CI/CD guidelines and associated tools such as Jenkins, GitLab or CircleCI is a plus but not mandatory. ¢ Experience of containerization technologies and microservices architecture is a plus but not mandatory. Location Aurangabad Experience & Education BTech/MTech/MS/PhD in Computer Science/Software Engineering/Data Science or related discipline with 6-10 years of relevant experience How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: STL is a leading global optical and digital solutions company providing advanced offerings to build 5G, Rural, FTTx, Enterprise and Data Centre networks. The company, driven by its purpose of Transforming Billions of Lives by Connecting the World, designs and manufactures in 4 continents with customers in more than 100 countries. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Position Title: Associate_AI/ML Developer_MS Engg_Advisory_Kolkata Responsibilities : Experience: 3-7 years in AI/ML development, with a demonstrated track record of deploying AI models in Azure App Services / Azure Kubernetes Service (AKS). Desired profile: AI Frameworks/Services: Thorough understanding of frameworks such as Lang-Chain, Semantic Kernel, Py-Torch, Scikit-learn, and cloud services like Azure Cognitive Services, including Azure Machine Learning and Azure Bot Services. Programming : Proficiency in TypeScript and C#, with experience in building applications using the Microsoft .NET framework and experience integrating AI solutions with Microsoft Teams and Microsoft Graph API. NLP Expertise: Experience working with Large Language Models (LLMs), Vectorization, Prompt engineering & Tuning, along with familiarity with Azure Text Analytics. Data Engineering: Strong understanding of data preprocessing, feature engineering, and proficiency in handling both structured and unstructured data, utilizing Azure Data Factory and Azure SQL Database. Cloud Technologies: Experience with Azure DevOps for CI/CD processes and version control, as well as familiarity with Azure Blob Storage for data storage solutions. Mandatory skill sets: AI/ML Developer Preferred skill sets: Deployment of AI models in Azure App Services / Azure Kubernetes Service (AKS). Years of experience required: 3-7 Years Education qualification: B.Tech/B.E./MCA

Dear candidate, We found your profile suitable for our current opening, please go through the below JD for better understanding of the role, Job Description : Role : Data Scientist / Technical lead Exp : 5 - 7 years Mode of work : Hybrid Model Work Location : Hyderabad/Bangalore/Noida/Pune/Kolkata Role Overview: We are seeking an experienced Data Scientist to join our team. The ideal candidate should have 5-7 years of experience in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing complex datasets, building predictive models, and delivering insights to support business decisions. Key Responsibilities: Develop and implement machine learning models and algorithms. Analyze large datasets to extract meaningful insights and trends. Collaborate with cross-functional teams to solve business problems using data-driven approaches. Build and optimize data pipelines for efficient data processing. Communicate findings through reports, dashboards, and visualizations. Requirements: 5-7 years of experience in data science or a related field. Strong proficiency in Python, SQL, and data visualization tools. Good experience on classification , regression Models. Experience with machine learning frameworks (e.g., Scikit-learn, XGBoost, TensorFlow). Solid understanding of statistical analysis, predictive modeling, and data mining techniques. Hands-on experience with data wrangling and feature engineering. Excellent problem-solving and communication skills. Preferred Qualifications: Experience with cloud platforms (AWS, GCP, Azure). Knowledge of big data technologies (Spark, Hadoop). Experience in time series forecasting, anomaly detection, or recommendation systems Please check below link for organisation details, https://www.tavant.com/ If interested , please drop your resume to dasari.gowri@tavant.com Regards Dasari Krishna Gowri Associate Manager - HR www.tavant.com

Responsibilities : - Design, develop, and implement machine learning models and algorithms to solve complex business problems. - Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. - Conduct data analysis and preprocessing to ensure data quality and integrity. - Optimize and fine-tune machine learning models for performance and scalability. - Stay up-to-date with the latest advancements in machine learning and AI technologies. Qualifications : - Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. - 7+ years of experience in machine learning, data science, and Python programming. - Strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. - Experience with big data technologies such as Hadoop, Spark, and SQL. - Excellent problem-solving skills and the ability to work independently and as part of a team. - Strong communication skills, with the ability to convey complex technical concepts to non-technical audiences. - Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. Preferred Skills : - Knowledge of natural language processing (NLP) and computer vision techniques. - Experience with deep learning frameworks and tools. - Familiarity with agile methodologies and DevOps practices. Responsibilities : - Model Development & Implementation : Design, develop, and implement machine learning models and algorithms using Python and relevant libraries (TensorFlow, PyTorch, scikit-learn, etc.). - Data Analysis & Preprocessing : Conduct thorough data analysis and preprocessing to ensure data quality, integrity, and suitability for model training. This includes data cleaning, transformation, and feature engineering. - Problem Solving : Translate complex business problems into actionable machine learning solutions. - Model Optimization : Optimize and fine-tune machine learning models for performance, scalability, and efficiency. - Collaboration : Collaborate effectively with cross-functional teams (product, engineering, business) to understand requirements, communicate technical concepts, and ensure successful project delivery. - Research & Innovation : Stay up-to-date with the latest advancements in machine learning and AI technologies, exploring and evaluating new techniques and tools. - Deployment & Monitoring : Deploy and monitor machine learning models in production, ensuring their reliability and performance. - Communication : Clearly communicate complex technical concepts to both technical and non-technical audiences. Qualifications : Education : Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. - Experience : 7+ years of experience in machine learning, data science, and Python programming. Technical Skills : - Strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, and scikit-learn. - Experience with big data technologies such as Hadoop, Spark, and SQL. - Excellent problem-solving skills and the ability to work independently and as part of a team. - Strong communication skills, with the ability to convey complex technical concepts to non-technical audiences. - Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. Preferred Skills : - Knowledge of natural language processing (NLP) and computer vision techniques. - Experience with deep learning frameworks and tools. - Familiarity with agile methodologies and DevOps practices. - Experience with MLOps tools and practices. Contributions to open-source machine learning projects.

We are seeking a Language Engineer with experience in the field of Natural Language Processing, Machine Learning, or Large Language Models, expertise in handling large data sets, and strong analytic skills. You will play a critical role in innovative projects by driving design of Alexa features. The key responsibilities are to generate high-quality data and to run and evaluate experiments, which involves prompt engineering our Large Language Model for API delivery. You will work closely with engineers, scientists and program managers to ensure we're providing the best Alexa experience for millions of our customers. Alexa Communications (connecting friends and family) is looking for a Language Engineer to join our Language Understanding Experience team in the area of speech and language data processing. We are seeking a candidate with strong analytical skills and language technology experience to help us measure, analyze and solve complex problems. In this role, you are responsible for the design and delivery of Language Understanding using your linguistic, voice user interface (VUI) design, and data analysis skills to understand what a customer meant. You are a key member in new feature development while proactively improving existing experiences. You work closely with other Language Engineers, Product Managers, Scientists and Engineers to deliver magical experiences that customers love. Key job responsibilities Specifically, the Language Engineer will: Collaborate with Scientists and Software Engineers to help design APIs and evaluate performance of LLM Produce and manipulate different types of language data, analyze, and provide efficient solutions Design and lead a data collection; define scope and target, provide a guideline and training, guide teams cross sites to meet the quality bar, and run evaluation of data for hand off Engineer prompts to guide generative AI to produce desired outputs in context Automate operations and perform data analysis using python, or other scripting language. Advocate strict adherence to annotation guidelines Test and deploy changes to Alexa's language understanding codebase Identify and solve production issues that are impacting the Alexa customer experience, Collaborate with other linguists, scientists and designers in creating optimal solutions to elevate the customer experience Own the customer-facing machine learning and deterministic models for a specific domain of features Use modeling tools to bootstrap and test new functionalities Basic Qualification Experience in Python or another scripting languages Experience in Java basics Experience with database queries Experience in Natural Language Processing, Machine Learning, or Large Language Models Practical knowledge of version control and agile development Excellent communication, strong organizational skills and detail-oriented Comfortable working in a fast paced, highly collaborative, and dynamic work environment Preferred Qualification Master or equivalent experience in a relevant field (computational linguistics or equivalent field with computational analysis) Able to think creatively and possess strong analytical and problem solving skills