5534 Data Science Jobs - Page 33

We are looking for AI/ML role ML Libraries & Frameworks: TensorFlow, PyTorch, and scikit-learn ML Architectures: Deep Learning, and Natural Language Processing LLM: LangChain, LangGraph Container: Docker, Kubernetes Gen AI is Must The interview will be conducted on 5th July 2025(Saturday Virtually Apply only if available).

We are seeking a Team Lead – Data Science & AI/ML on AWS who will be responsible for daily task execution oversight, delivery quality, SCRUM adherence, and team operations management for DS/AI/ML projects.

Skills Must Have- Bachelors or masters degree in computer science, Data Science, Engineering, or a related field. Strong programming skills in languages such as Python, SQL etc. Experience in developing and deploying AI/ML and deep learning solutions with libraries and frameworks, such as Scikit-learn, TensorFlow, PyTorch etc. Experience in ETL and Datawarehouse tools such as Azure Data Factory, Azure Data Lake or Databricks etc. Knowledge of math, probability, and statistics. Familiarity with a variety of ML algorithms. Good experience in cloud infrastructure such as Azure (Preferred), AWS/GCP Exposure to Gen AI, Vector DB, LLM (Large language Model) Skills (good to have) : Experience in Flask/Django, Streamlit is a bonus Experience with MLOps: MLFlow, Kubeflow, CI/CD Pipeline etc. Good to have experience in Docker, Kubernetes etc Responsibilities: Collaborate with software engineers, business stake holders and/or domain experts to translate business requirements into product features, tools, projects, AI/ML, NLP/NLU and deep learning solutions. Develop, implement, and deploy AI/ML solutions. Preprocess and analyze large datasets to identify patterns, trends, and insights. Evaluate, validate, and optimize AI/ML models to ensure their accuracy, efficiency, and generalizability. Deploy applications and AI/ML model into cloud environment such as AWS/Azure/GCP etc. Monitor and maintain the performance of AI/ML models in production environments, identifying opportunities for improvement and updating models as needed. Document AI/ML model development processes, results, and lessons learned to facilitate knowledge sharing and continuous improvement.

Head of Data Science Experience: 12+ years Salary: Highly Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Data Science OR Subject Matter Expertise AND Industrial Software OR Oil & Gas, Power, or Chemicals AND SaaS UptimeAI (One of Uplers' Clients) is looking for: About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Role: Head of Data Science Industry Subject Matter Expertise (SME) Oil & Gas / Power Location: Bangalore, India Experience: 15+ years Department: Data Science Role Overview: We are seeking a highly experienced Data Science Leader with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI/ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics. Key Responsibilities: Lead AI/ML teams to design solutions that align with real-world industrial use cases Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams Define product requirements and influence roadmap based on domain knowledge and market needs Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering Support GTM teams in customer discussions, industry presentations, and positioning of the product offering Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points Qualifications: 15+ years of total experience, with at least the last 5 years in a senior leadership role leading Data Science initiatives. Mandatory: Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals Proven track record in developing and launching B2B SaaS products for industrial environments Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation Hands-on experience with Data Science / AI / ML teams Familiarity with industrial asset management, maintenance operations, and reliability engineering Excellent communication skills with the ability to bridge the gap between business and technical stakeholders Preferred: MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research) Nice to Have: Global exposure across different geographies and regulatory environments Prior experience working with digital twins, SCADA, CMMS, or EAM systems Published thought leadership or public speaking experience at industry forums Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! 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!

Business Analyst Lead Experience: 7-10 years Location: Gurgaon / Noida GenAI Strategy & Innovation Bridge Generative AI capabilities with business value to drive adoption of LLMs, RAG systems, and AI agents. Identify impactful use cases (chatbots, synthetic data, automation) and conduct build-vs-buy assessments (e.g., GPT-4 vs. fine-tuned Llama 3). Technical Proficiency Skilled in LangChain, LlamaIndex, Azure OpenAI Studio, GCP Vertex AI, Hugging Face. Hands-on with RAG architectures, LoRA fine-tuning, vector databases. Competent in SQL/Python for data validation and synthetic data tools (Gretel, Mostly AI). Business Analysis & Workflows Lead user story mapping for multi-agent setups (AutoGen, CrewAI). BPMN modeling for AI-human collaboration. Engineer GenAI-specific requirements: accuracy , ethical safeguards, latency SLAs. Stakeholder Alignment Translate AI capabilities into measurable outcomes Manage expectations around AI's probabilistic behavior (e.g., fact-checking workflows). Governance & Measurement Define GenAI KPIs: token cost, trust scores, automation rates. Monitor model drift and trigger retraining. Build audit frameworks ensuring compliance (EU AI Act, industry norms).

We are seeking a highly skilled and motivated Data Scientist with 4 to 6 years of experience to join our analytics team. The ideal candidate will have a strong foundation in statistical modeling, machine learning, and data storytelling, with a proven ability to turn complex data into actionable insights that drive business decisions. Key Responsibilities: Collaborate with cross-functional teams to identify business challenges and develop data-driven solutions. Design, develop, and deploy machine learning models and statistical algorithms. Perform exploratory data analysis and feature engineering on large datasets. Build dashboards and visualizations to communicate insights to stakeholders. Conduct A/B testing and other experimental designs to evaluate business strategies. Ensure data quality and integrity through rigorous validation and cleaning processes. Stay up to date with the latest developments in data science, machine learning, and AI. Required Skills & Qualifications: Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field. 4–6 years of hands-on experience in data science, analytics, or a similar role. Proficiency in Python or R, and experience with libraries such as pandas, scikit-learn, TensorFlow, or PyTorch. Strong SQL skills and experience working with relational databases. Experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn. Solid understanding of statistical methods, hypothesis testing, and experimental design. Excellent communication and presentation skills.

Principal Data Scientist / Senior Data Scientist / Data Scientist - NLP / Machine Learning Job Position : Principal Data Scientist / Sr Data Scientists /Data Scientist / Jr. Data Scientist / Data Science Intern / Machine Learning Engineer-Global Tech AI Health Startup. Joining : Immediately. Global HQ, Benovymed Global Technology Development and Innovation Center & Benovymed Global R and D, and AI Health Innovation Center in Delhi NCR. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems. CTC : - Best Package in Industry. - Terms & Conditions Apply as per our organization. - To deserving eligible candidates only, the company Equity / ESOP may be given also as a part of a Package for a long-term career opportunity. - Apply with your CV with passport size photo, & current CTC, expected CTC, Notice Period, Project details & cover letter. We have a disruptive Innovative Technology Products Line and Novel Solutions delivered through Mobile App / Web on our Cloud Digital Health Platform which is a Game changer, will surpass the current medical Practices, and is driven by Scientific evidence on actionable data-driven in Prevention, early detection, Treatment, Consultation, Clinical decision, Disease management areas of Top5 Chronic Diseases ( Including Top 20 Cancer Diseases|Diabetes|HeartDisease|Mental Health|COPD ) and COVID-19 Pandemic Management Globally to Impact the Lives of Billions of People Globally in a fastest-growing @51.3% CAGR in a few Trillion Dollars AI Health Global Market and Chronic Diseases Global Market. We will be looking to join Professionals in our 360-degree domain expertise areas | 200 Medical Doctors and Medical Researchers and 250 Data Scientists |AI Health Researchers Scientists| and with a total of more than 5000 Growth Drivers professionals with more than 2000 IT professionals| 2000 Business Development |Marketing and Sales|Global Operations of high energy Growth Drivers entrepreneur mindset (not the traditional employees) from across the world's Best Technology and Research Institutes in next 5 Years Timeline at our coming up India Global HQ, Global Technology Development and Innovation Center and Benovymed Global R and D and AI Health Innovation Lab to work on Thousands of complex problems in Healthcare to bring change in Healthcare to Impact the Life of Billions of People Globally to support our country "Make in India" Programme with solving every country local problems, local challenges and global problems globally.

Role Senior Python Developer (Data Science, AI/ML) HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 8-10 years. of Python Development Experience with at least 4 years in data science and machine learning Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. Experience with AWS SageMaker is advantegous Experience with LangChain, RAG for Generative AI is advantageous. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Knowledge of REST, JSON, XML, SOAP is a must Ability to work well within an agile team environment and applying the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required Location: India (Pune preferred) Compensation: Base salary, plus bonus

ML,AI,Python,TensorFlow,Decision Trees,SageMaker,Transcribe,Lambda,Data Pipelines,Docker,CI/CD,Jenkins,GitLab

Joining : Immediately. Job Role Responsibility Description : We are looking for passionate, Strong experience with an entrepreneur mindset to join us as Hardcore Full Stack Data Scientist end-to-end single-handed multi-hat role who is already working in applied AI in ML, deep Learning, ANN, and CNN platform specifically working as single-handed doers or in a small Data Science Team with full end to end ownership of Data Science work commitment delivery as Data Scientist working in any reputed AI Data Science is driven Tech startup preferably in Healthcare. Required Skillsets : - Needs to have statistical, mathematical, and predictive modeling as well as business strategy skills to build the algorithms necessary to ask the right questions and find the right answers. - Need to be able to communicate their findings, orally and visually. - Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical responsibilities.- - Need to have a natural desire to go beneath the surface of a problem. - Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. - Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. - Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. In addition the need to be familiar with disciplines as follows : - Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities : - Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. - Being able to develop or program databases. - Having a good understanding of design & architecture principles. Qualification : B.Tech / M.Tech in CSE / Electrical / Electronics & Communication/ Maths & Computing /Statistics /BioTech/BioStat / Clinical Engineering in Data Science / Machine Learning from Top-rated Tech University / Top rated IIT /IIIT. Mandatory Requirement : Experience : - Post last qualification of at least 0 to 7 Years of strong experience exclusive in real Industry Projects in applied AI ML & Deep Learning Data Science in an early-stage AI Health startup at the role and designation as a single-handed full-stack Principal Data Scientist / Sr. Data Scientist. - Hardcore in ANN /Deep Learning /Machine Learning/NLP with at least 2-20 good Applied AI-oriented Applied Research Projects & applications with hardcore experience working on ANN, CNN, RNN, and deep learning in Digital Health startups to solve specific complex problems.

Must have experience in Data Science Fundamentals, Data Analysis & Visualization, Statistics & Probability Must have experience in prompt engineering, RAG & GenAI. Should have experience in Python or R Should have experience in Data science on GCP.

What You Can Expect from Us: Here at NomiSo, we work hard to provide our team with the best opportunities to grow their careers. You can expect to be a pioneer of ideas, a student of innovation, and a leader of thought. Innovation and thought leadership is at the center of everything we do, at all levels of the company. Let's make your career great! Position Overview : We are seeking an experienced NLP & LLM Specialist to join our team. The ideal candidate will have deep expertise in working with transformer-based models, including GPT, BERT, T5,RoBERTa, and similar models. This role requires experience in fine-tuning these pre-trained models on domain-specific tasks, as well as crafting and optimizing prompts for natural language processing tasks such as text generation, summarization, question answering, classification, and translation. The candidate should be proficient in Python and familiar with NLP libraries like Hugging Face, SpaCy, and NLTK, with a solid understanding of model evaluation metrics. Roles and Responsibilities : - Model Expertise : - Work with transformer models such as GPT, BERT, T5, RoBERTa, and others for a variety of NLP tasks, including text generation, summarization, classification, and translation. - Model Fine-Tuning: Fine-tune pre-trained models on domain-specific datasets to improve performance for specific applications such as summarization, text generation, and question answering. - Prompt Engineering: Craft clear, concise, and contextually relevant prompts to guide transformer-based models towards generating desired outputs for specific tasks. - Iterate on prompts to optimize model performance. - Instruction-Based Prompting: Implement instruction-based prompting to guide the model toward achieving specific goals, ensuring that the outputs are contextually accurate and aligned with task objectives. - Zero-shot, Few-shot, Many-shot Learning: Utilize zero-shot, few-shot, and many-shot learning techniques to improve model performance without the need for full retraining. - Chain-of-Thought (CoT) Prompting: Implement Chain-of-Thought (CoT) prompting to guide models through complex reasoning tasks, ensuring that the outputs are logically structured and provide step-by-step explanations. - Model Evaluation: Use evaluation metrics such as BLEU, ROUGE, and other relevant metrics to assess and improve the performance of models for various NLP tasks. - Model Deployment: Support the deployment of trained models into production environments and integrate them into existing systems for real-time applications. - Bias Awareness: Be aware of and mitigate issues related to bias, hallucinations, and knowledge cutoffs in LLMs, ensuring high-quality and reliable outputs. - Collaboration: Collaborate with cross-functional teams including engineers, data scientists, and product managers to deliver efficient and scalable NLP solutions. Must Have Skill : - Overall 7 years with at least 5+ years of experience working with transformer-based models and NLP tasks, with a focus on text generation, summarization, question answering, classification, and similar tasks. - Expertise in transformer models like GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), T5 (Text-to-Text Transfer Transformer), RoBERTa, and similar models. - Familiarity with model architectures, attention mechanisms, and self-attention layers that enable LLMs to generate human-like text. - Experience in fine-tuning pre-trained models on domain-specific datasets for tasks such as text generation, summarization, question answering, classification, and translation. - Familiarity with concepts like attention mechanisms, context windows, tokenization, and embedding layers. - Awareness of biases, hallucinations, and knowledge cutoffs that can affect LLM performance and output quality. - Expertise in crafting clear, concise, and contextually relevant prompts to guide LLMs towards generating desired outputs. - Experience in instruction-based prompting - Use of zero-shot, few-shot, and many-shot learning techniques for maximizing model performance without retraining. - Experience in iterating on prompts to refine outputs, test model performance, and ensure consistent results. - Crafting prompt templates for repetitive tasks, ensuring prompts are adaptable to different contexts and inputs. - Expertise in chain-of-thought (CoT) prompting to guide LLMs through complex reasoning tasks by encouraging step-by-step breakdowns. - Proficiency in Python and experience with NLP libraries (e.g , Hugging Face, SpaCy, NLTK). - Experience with transformer-based models (e.g , GPT, BERT, T5) for text generation tasks. - Experience in training, fine-tuning, and deploying machine learning models in an NLP context. - Understanding of model evaluation metrics (e.g , BLEU, ROUGE) Qualification : - BE/B.Tech or Equivalent degree in Computer Science or related field. - Excellent communication skills in English, both verbal and written

Location: Bangalore Key Responsibilities: Design, develop, and deploy AI/ML models, particularly using LLAMA and similar LLM frameworks. Integrate vector databases and PostgreSQL for intelligent data retrieval and storage. Build and optimize Python-based pipelines , APIs, and backend services for AI applications. Leverage Databricks for scalable data processing, model training, and deployment. Collaborate with cross-functional teams to deliver production-ready AI solutions rapidly. Contribute to POCs and prototypes to validate ideas and iterate quickly. Must-Have Skills: 7+ years of experience in Data Science / AI Engineering roles. Proficiency with Databricks , Python , and PostgreSQL . Hands-on experience working with LLMs (especially LLAMA) and vector DBs like Pinecone, FAISS, or similar. Strong understanding of AI/ML lifecycle , from model development to deployment. Experience in startup or agile environments , with proven rapid delivery capabilities. Good to Have: Familiarity with cloud platforms (AWS/Azure/GCP). Knowledge of LangChain or similar LLM orchestration frameworks. Exposure to MLOps best practices and deployment tools.

Role & responsibilities: Machine Learning Solution Development: Design, develop and deploy ML models, algorithms and agentic AI systems to address complex business challenges across a range of sectors. Cloud & MLOps Management: Lead the implementation of ML solutions on AWS cloud (with heavy use of Amazon SageMaker and related AWS services). Develop and maintain end-to-end CI/CD pipelines for ML projects, using infrastructure-as-code tools like AWS CloudFormation and Terraform to automate model deployment and system setup. Project Leadership: Oversee the ML lifecycle from data preparation to model training, validation, and deployment. Make high-level design decisions on model architecture and data pipelines. Mentor junior engineers and collaborate with data scientists, ML engineers, and Software Engineering teams to ensure successful delivery of ML projects. Client & Stakeholder Collaboration: Collaborate with project managers and stakeholders across a range of sectors to gather requirements and translate business needs into technical solutions. Present findings and ML model results to non-technical audiences in a clear manner, and refine solutions based on their feedback. Quality, Security & Compliance: Ensure that ML solutions meet quality and performance standards. Implement monitoring and logging for models in production, and proactively improve model accuracy and efficiency. Given the sensitive nature of our data, enforce data security best practices and compliance with relevant regulations (e.g. data privacy and confidentiality) in all ML workflows. Required Qualifications & Experience: Education: Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or related field. Strong foundation in statistics and algorithms is expected. Experience: 5+ years of hands-on experience in machine learning or data science roles, with a track record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role. Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data modelling is advantageous. Cloud & DevOps: Proven experience with AWS cloud services relevant to data science – particularly Amazon SageMaker for model development and deployment. Familiarity with data storage and processing on AWS (S3, AWS Lambda, Athena/Redshift, etc.) is expected. Strong knowledge of DevOps/MLOps practices – candidates should have built or worked with CI/CD pipelines for ML, using tools like Docker and Jenkins, and infrastructure-as-code tools like CloudFormation or Terraform to automate deployments. Hybrid Work Skills: Ability to thrive in a hybrid work environment – should be self-motivated and communicative when working remotely, and effective at in-person collaboration during on-site days. (The role will be based in Chennai with a mix of remote and office work.) Soft Skills: Excellent problem-solving and analytical thinking. Strong communication skills to explain complex ML concepts to clients or management. Ability to work under tight deadlines and multitask across projects for different clients. A client-focused mindset is essential, as the role involves understanding and addressing the needs of large clients who come to us because they trust us.

Mandatory Skills & Experience : - Expertise in designing and optimizing machine-learning operations, with a preference for LLM Ops. - Proficient in Data Science, Machine Learning, Python, SQL, Linux/Unix shell scripting. - Experience on Large Language Models and Natural Language Processing (NLP), and experience with researching, training, and fine-tuning LLMs. - Contribute towards fine-tune Transformer models for optimal performance in NLP tasks, if required. - Implement and maintain automated testing and deployment processes for machine learning models w.r.t LLMOps. - Implement version control, CI/CD pipelines, and containerization techniques to streamline ML and LLM workflows. - Develop and maintain robust monitoring and alerting systems for generative AI models ensuring proactive identification and resolution of issues. - Research or engineering experience in deep learning with one or more of the following : generative models, segmentation, object detection, classification, model optimisations. - Experience implementing RAG frameworks as part of available-ready products. - Experience in setting up the infrastructure for the latest technology such as Kubernetes, Serverless, Containers, Microservices etc. - Experience in scripting/programming to automate deployments and testing, working on tools like Terraform and Ansible. - Scripting languages like Python, bash, YAML etc. - Experience on CI/CD opensource and enterprise tool sets such as Argo CD, and Jenkins (others like Jenkins X, Circle CI, Argo CD, Tekton, Travis, Concourse an advantage). - Experience with the GitHub/DevOps Lifecycle. - Experience in Observability solutions (Prometheus, EFK stacks, ELK stacks, Grafana, Dynatrace, AppDynamics). - Experience in at-least one of the clouds for example Azure/AWS/GCP. - Significant experience on microservices-based, container-based or similar modern approaches of applications and workloads. - You have exemplary verbal and written communication skills (English). - Able to interact and influence at the highest level, you will be a confident presenter and speaker, able to command the respect of your audience. Desired Skills & Experience : - Bachelor level technical degree or equivalent experience; Computer Science, Data Science, or Engineering background preferred; Master's Degree desired. - Experience in LLM Ops or related areas, such as DevOps, data engineering, or ML infrastructure. - Hands-on experience in deploying and managing machine learning and large language model pipelines in cloud platforms (i.e., AWS, Azure) for ML workloads. - Familiar with data science, machine learning, deep learning, and natural language processing concepts, tools, and libraries such as Python, TensorFlow, PyTorch, NLTK etc. - Experience in using retrieval augmented generation and prompt engineering techniques to improve the model's quality and diversity to improve operations efficiency. - Proven experience in developing and fine-tuning Language Models (LLMs). - Stay up-to-date with the latest advancements in Generative AI, conduct research, and explore innovative techniques to improve model quality and efficiency. - The perfect candidate will already be working within a System Integrator, Consulting or Enterprise organisation with 8+ years of experience in a technical role within the Cloud domain. - Deep understanding of core practices including SRE, Agile, Scrum, XP and Domain Driven Design. - Familiarity with the CNCF open-source community. - Enjoy working in a fast-paced and dynamic environment using the latest technologies.

The AI Engineer with GenAI expertise is responsible for developing advanced technical solutions, integrating cutting-edge generative AI technologies. This role requires a deep understanding of modern technical and cloud-native practices, AI, DevOps, and machine learning technologies, particularly in generative models. You will support a wide range of customers through the "Ideation to MVP" journey, demonstrating proficiency in leading projects and ensuring delivery excellence. Key Responsibilities : Technical & Engineering Leadership : - Develop solutions leveraging GenAI technologies, integrating advanced AI capabilities into cloud-native architectures to enhance system functionality and scalability. - Lead the design and implementation of GenAI-driven applications, ensuring seamless integration with microservices and container-based environments. - Create solutions that fully leverage the capabilities of modern microservice and container-based environments running in public, private, and hybrid clouds. - Contribute to HCL thought leadership across the Cloud Native domain with an expert understanding of open-source technologies (i.e., Kubernetes/CNCF) and partner technologies. - Collaborate on joint technical projects with partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Mandatory Skills & Experience. : - A passionate developer with 7+ years of experience in Java, Python, and Kubernetes, comfortable working as part of a paired/balanced team. - Extensive experience in software development, with significant exposure to AI/ML technologies. - Expertise in GenAI frameworks : Proficient in using GenAI frameworks and libraries such as LangChain, OpenAI API, and Hugging Face Transformers. - Prompt engineering : Experience in designing and optimizing prompts for various AI models to achieve desired outputs and improve model performance. - Strong understanding of NLP techniques and tools, including tokenization, embeddings, transformers, and language models. - Proven experience developing complex solutions that leverage cloud-native technologies-featuring container-based, microservices-based approaches; based on applying 12-factor principles to application engineering. - Exemplary verbal and written communication skills (English). - Positive and solution-oriented mindset. - Solid experience delivering Agile and Scrum projects in a Jira-based project management environment. - Proven leadership skills and the ability to lead projects to ensure delivery excellence. Desired Skills & Experience : - Machine Learning Operations (MLOps) : Experience in deploying, monitoring, and maintaining AI models in production environments using MLOps practices. - Data engineering for AI : Skilled in data preprocessing, feature engineering, and creating pipelines to feed AI models with high-quality data. - AI model fine-tuning : Proficiency in fine-tuning pre-trained models on specific datasets to improve performance for specialized tasks. AI ethics and bias mitigation : - Knowledgeable about ethical considerations in AI and experienced in implementing strategies to mitigate bias in AI models. Knowledgeable about vector databases, LLMs, and SMLs, and integrating with such models. - Proficient with Kubernetes and other cloud-native technologies, including experience with commercial Kubernetes distributions (e., Red Hat OpenShift, VMware Tanzu, Google Anthos, Azure AKS, Amazon EKS, Google GKE). - Deep understanding of core practices including DevOps, SRE, Agile, Scrum, Domain-Driven Design, and familiarity with the CNCF open-source community. - Recognized with multiple cloud and technical certifications at a professional level, ideally including AI/ML specializations from providers like Google, Microsoft, AWS, Linux Foundation, IBM, or Red Hat. Verifiable Certification : At least one recognized cloud professional / developer certification (AWS/Google/Microsoft).

Well versed with Python for data science. Feature engineering, data analysis and cleansing using Python Experienced in Data visualization techniques and finding anomalies using graphs/modelling (matplotlib/seaborn) Model building/hyperparameter tuning knowledge using scikit-learn/vertex-AI Experienced in ML models like regression, logistics regression, PCA, Decision trees and random forest, clustering, SVM Decent GenAI and Prompt Engineering Skills Experienced working with any cloud environment preferably GCP Basic knowledge of docker/containers and CI/CD, deployment libraries Experience with production level datasets and use cases

Apply Now : sowmya.v@acesoftlabs.com Were Hiring: Data Scientist (6-9 Years) | Azure | Machine Learning | Python Location : Bangalore Experience : 6 to 9 Years Primary Skill : Data Science & Machine Learning Key Responsibilities : Collect, clean, and preprocess large datasets from diverse sources. Design and deploy robust machine learning models to enhance operational efficiency. Perform exploratory data analysis (EDA) to uncover trends and patterns. Leverage Azure Machine Learning , Azure Databricks , and Azure AI Foundry to develop, train, and deploy predictive models. Collaborate closely with data engineers, software developers, and business teams to integrate models into production. Communicate insights clearly using data visualizations, reports, and presentations. Must-Have Skills : Strong hands-on experience in Python or R for machine learning and data analysis. Proficiency in Azure services : Azure Machine Learning, Logic Apps, Data Factory, Databricks, AI Foundry. Solid foundation in statistical analysis , predictive modeling , and data mining techniques. Excellent communication and collaboration skills. What Were Looking For: Proven track record with a portfolio of impactful data science projects. Ability to handle large, complex datasets and derive business value. Strong problem-solving mindset and adaptability. If you're a data-driven problem solver who thrives on building ML solutions in the Azure ecosystem, wed love to hear from you! Apply Now and be part of our data transformation journey.

House of Shipping is seeking a high-caliber Data Science Lead to join their team in Hyderabad. With a background of 15-18 years in data science, including at least 5 years in leadership roles, the ideal candidate will have a proven track record in building and scaling data science teams in logistics, e-commerce, or manufacturing. Strong expertise in statistical learning, ML architecture, productionizing models, and impact tracking is essential for this role. As the Data Science Lead, you will be responsible for leading enterprise-scale data science initiatives in supply chain optimization, forecasting, network analytics, and predictive maintenance. This position requires a blend of technical leadership and strategic alignment with various business units to deliver measurable business impact. Key responsibilities include defining and driving the data science roadmap across forecasting, route optimization, warehouse simulation, inventory management, and fraud detection. You will work closely with engineering teams to architect end-to-end pipelines, from data ingestion to API deployment. Proficiency in Python and MLOps tools like Scikit-Learn, XGBoost, PyTorch, MLflow, Vertex AI, or AWS SageMaker is crucial for success in this role. Collaboration with operations, product, and technology teams to prioritize AI use cases and define business metrics will be a key aspect of the job. Additionally, you will be responsible for managing experimentation frameworks, mentoring team members, ensuring model validation, and contributing to organizational data maturity. The ideal candidate will possess a Bachelor's, Master's, or Ph.D. degree in Computer Science, Mathematics, Statistics, or Operations Research. Certifications in Cloud ML stacks, MLOps, or Applied AI are preferred. To excel in this role, you should have a strategic vision in AI applications across the supply chain, strong team mentorship skills, expertise in statistical and ML frameworks, and experience in MLOps pipeline management. Excellent business alignment and executive communication skills are also essential for this position. If you are a data science leader looking to make a significant impact in the logistics industry, we encourage you to apply for this exciting opportunity with House of Shipping.,

As an Analyst in the FP&A team at Momentive's Global Finance Team, your primary responsibility will be to provide accurate reporting and analysis to functional stakeholders and actively participate in financial projects to meet business requirements. You will collaborate closely with the Global FP&A Leader to offer financial insights and oversight on key business performance indicators. Additionally, you will support various key business functions to ensure financial planning activities are carried out effectively. Your key responsibilities will include supporting the monthly closing process, preparing various financial reports, analyzing variances, assisting in the budget and forecast process, participating in strategic financial projects, handling ad-hoc requests promptly, ensuring business continuity, identifying opportunities for process improvements, and ensuring compliance with US GAAP accounting standards and internal financial policies. To be successful in this role, you must possess a minimum of a graduate degree in finance, accounting, business, or a related field, along with at least 3 years of experience in FP&A. Proficiency in MS Excel, fluency in English, and the ability to work effectively in a global, cross-functional environment are essential. Additionally, you should demonstrate a service-oriented mindset, proactive problem-solving skills, the ability to meet deadlines with high-quality output, and strong organizational skills to manage multiple deliverables. Preferred qualifications include knowledge of SAP & BW, data science certifications, and experience with visualization tools like Power BI and Tableau. Momentive offers competitive total rewards and development programs, a supportive and inclusive culture, and diverse career opportunities to help you reach your full potential. Join us at Momentive to be part of a collaborative team dedicated to creating sustainable solutions that make a meaningful impact on a global scale.,

Do you aspire to be part of a dynamic team that develops cutting-edge products and machine learning solutions at Microsoft, reaching millions of users every month The Microsoft Turing team is an innovative group specializing in engineering and applied research, dedicated to advancing deep learning models, large language models, and groundbreaking conversational search experiences. At the forefront of conversational search platform and innovation, the team drives core copilot experiences within Microsoft's ecosystem, spanning BizChat, Office, and Windows. As a Principal Applied Scientist within the Turing team, you will lead and execute various data science tasks within tight timelines. Your responsibilities will include hands-on activities such as model training, evaluation set creation, infrastructure development for training and evaluation processes, and more. Collaboration with internal and external data science, product, and engineering teams across different time zones will be essential for successful project delivery. Microsoft's mission revolves around empowering individuals and organizations worldwide to accomplish more. As team members, we embrace a growth mindset, strive for innovation to empower others, and foster collaboration to achieve our collective objectives. Upholding values of respect, integrity, and accountability, we cultivate an inclusive culture where everyone can excel professionally and personally. In your role as a Principal Applied Scientist, you will: - Drive projects from inception to implementation, engaging in data analysis, heuristic formulation, model creation using Large Language Models (LLMs), and establishing engineering pipelines for model execution. - Provide documentation, guidance to junior team members, and collaborate with stakeholders across different time zones to ensure project alignment and timely progress. - Develop evaluation techniques, datasets, criteria, and metrics for model assessments, often involving State-of-the-Art (SOTA) models and metrics/datasets. - Engage in hands-on tasks such as pre-training, fine-tuning, and utilization of language models, encompassing dataset preparation, review, and continual refinement. Proficiency in training frameworks, formats, and stacks like megatron is also required. This role demands active participation in a diverse, globally dispersed team environment that values collaboration and innovation. You will play a pivotal role in shaping the design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products leveraging our deep learning technology. Qualifications: Required Qualifications: - Bachelor's, Master's, or Doctorate degree in Statistics, Econometrics, Computer Science, Electrical/Computer Engineering, or related field with 8+ to 12+ years of relevant experience. - At least 3 years of experience in delivering team-level outcomes. - 2+ years of industrial coding experience in languages like C++, C#, C, Java, or Python. - Previous exposure to data analysis in large-scale systems, pattern identification, or evaluation dataset creation. - Familiarity with machine learning, deep learning frameworks, Large Language Models (LLMs), and prompting techniques. - Strong communication skills to convey technical details effectively across organizational boundaries. Preferred Qualifications: - 5+ years of experience in creating publications such as patents, libraries, or peer-reviewed academic papers. - 2+ years of experience in presenting at conferences or industry events as an invited speaker. #MSAI #Turing #LLMs #Modeltraining #M365CORE #MSAI #Turing,

ANSH InfoTech is a Ludhiana-based IT solutions provider specializing in data science, artificial intelligence, and cybersecurity. We empower businesses with custom web and mobile app development, digital marketing, and cloud computing solutions. Additionally, we offer comprehensive training programs to ensure that professionals stay ahead in the fast-evolving tech landscape. As an AI/ML Corporate Trainer at ANSH InfoTech, you will be responsible for designing, developing, and delivering training programs on artificial intelligence and machine learning topics. Your daily tasks will include creating instructional materials, conducting interactive training sessions, assessing trainee performance, and staying updated with the latest advancements in AI and ML technologies. In addition, you will provide mentorship and support to trainees to ensure their successful learning outcomes. To excel in this role, you should possess excellent knowledge of AI and Machine Learning technologies and frameworks. Strong instructional design and curriculum development skills are essential, along with experience in conducting training sessions and workshops. Excellent communication and presentation skills are crucial, as well as the ability to assess trainee performance and provide constructive feedback. Experience with data science, programming languages (e.g., Python, R), and software development will be beneficial. Ideally, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related field. Previous experience in corporate training or education would be considered a plus. If you are passionate about sharing your expertise in AI and ML with aspiring professionals and have a knack for delivering engaging training sessions, we invite you to join our team at ANSH InfoTech.,

As a Data Science Associate Consultant at ZS, you will design, develop, and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets to help clients make better fact-based decisions. Your responsibilities will include staying updated with the latest developments in Deep Learning and AI research, implementing and fine-tuning advanced models in deep learning, collaborating with cross-functional teams to develop and deploy machine learning models in production, contributing to research projects advancing AI and machine learning, and integrating engineering principles into data science workflows. You will be expected to have a Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, along with 4-7 years of Data Science experience. Proficiency in generative AI, deep learning, statistical techniques, and programming languages such as Java/Python/R is required. Additionally, you should have knowledge of big data/advanced analytics concepts and algorithms, excellent oral and written communication skills, strong attention to detail, critical thinking, problem-solving skills, motivation, work ethic, and maturity. Exposure to Generative AI is a plus. ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. The company is committed to providing employees with a flexible and connected way of working, allowing a combination of work from home and on-site presence at clients/ZS offices. Travel may be required based on the business needs of your project and client, providing opportunities for professional growth and diverse experiences. ZS is focused on building a diverse and inclusive company where individuals from all backgrounds can bring their passions to inspire life-changing impact. The company encourages candidates to apply even if they do not meet all the requirements listed. ZS is an equal opportunity employer committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. Candidates interested in applying must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts, is required to be considered. More information can be found at www.zs.com.,

At PwC, the focus in data and analytics is on leveraging data to drive insights and make informed business decisions. Advanced analytics techniques are utilized to help clients optimize their operations and achieve strategic goals. In data analysis at PwC, the emphasis is on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Skills in data manipulation, visualization, and statistical modeling are leveraged to support clients in solving complex business problems. PwC US - Acceleration Center is currently looking for a highly skilled and experienced GenAI Data Scientist to join the team at the Senior Associate level. As a GenAI Data Scientist, the critical role involves developing and implementing machine learning models and algorithms for GenAI projects. The ideal candidate should have a strong background in data science, with a focus on GenAI technologies, and possess a solid understanding of statistical analysis, machine learning, data visualization, and application programming. Candidates with 4+ years of hands-on experience are preferred for this position. Responsibilities: - Collaborate with cross-functional teams to understand business requirements and identify opportunities for applying GenAI technologies. - Develop and implement machine learning models and algorithms for GenAI projects. - Perform data cleaning, preprocessing, and feature engineering to prepare data for analysis. - Collaborate with data engineers to ensure efficient data processing and integration into machine learning pipelines. - Validate and evaluate model performance using appropriate metrics and techniques. - Develop and deploy production-ready machine learning applications and solutions. - Utilize object-oriented programming skills to build robust and scalable software components. - Utilize Kubernetes for container orchestration and deployment. - Design and build chatbots using GenAI technologies. - Communicate findings and insights to stakeholders through data visualizations, reports, and presentations. - Stay up-to-date with the latest advancements in GenAI technologies and recommend innovative solutions to enhance data science processes. Requirements: - 3-5 years of relevant technical/technology experience, with a focus on GenAI projects. - Strong programming skills in languages such as Python, R, or Scala. - Proficiency in machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn. - Experience with data preprocessing, feature engineering, and data wrangling techniques. - Solid understanding of statistical analysis, hypothesis testing, and experimental design. - Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud. - Knowledge of data visualization tools and techniques. - Strong problem-solving and analytical skills. - Excellent communication and collaboration abilities. - Ability to work in a fast-paced and dynamic environment. Preferred Qualifications: - Experience with object-oriented programming languages such as Java, C++, or C#. - Experience with developing and deploying machine learning applications in production environments. - Understanding of data privacy and compliance regulations. - Relevant certifications in data science or GenAI technologies. Nice To Have Skills: - Experience with Azure AI Search, Azure Doc Intelligence, Azure OpenAI, AWS Textract, AWS Open Search, AWS Bedrock. - Familiarity with LLM backed agent frameworks such as Autogen, Langchain, Semantic Kernel, etc. - Experience in chatbot design and development. Professional And Educational Background: Any graduate /BE / B.Tech / MCA / M.Sc / M.E / M.Tech /Masters Degree /MBA,

We're Hiring: AI/ML Platform Lead Are you passionate about driving cutting-edge AI and machine learning initiatives? Join as an AI/ML Platform Lead and lead the future of intelligent data solutions! Job Description & Requirements: Were looking for a dynamic professional with: A proven track record with 5+ years of experience in AI/ML platform management or a similar role Deep expertise in machine learning, data analytics, and cloud computing Hands-on experience with platforms such as Dataiku, Azure ML, Azure AI, Foundry , and other related systems Strong knowledge of Agile methodologies , DevOps practices , and CI/CD pipeline management Exceptional ability to manage multiple priorities in a fast-paced, dynamic environment Proven leadership skills in guiding cross-functional teams and leading large-scale tech initiatives Experience with Agile methodologies is a plus Interested? Send your CV to admin@spearheadps.com or reach out via WhatsApp- 9899080360 for more details!