1435 Deep Learning Jobs - Page 40

Roles & Responsibilities : Roles & Responsibilities : Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist 2 to 3 years of experience in Generative AI solution development Strong understanding of AI agent collaboration, negotiation, and autonomous decision-making. Experience in developing and deploying AI agents that operate independently or collaboratively in complex environments. Deep knowledge of agentic AI principles, including self-improving, self-organizing, and goal-driven agents. Proficiency in multi-agent frameworks such as AutoGen, LangGraph, LangChain, and CrewAI for orchestrating AI workflows. Hands-on experience integrating LLMs (GPT, LLaMA, Mistral, etc. ) with agentic frameworks to enhance automation and reasoning. Expertise in hierarchical agent frameworks, distributed agent coordination, and decentralized AI governance. Strong grasp of memory architectures, tool use, and action planning within AI agents. Autonomy Score: Measures the degree of independence in decision-making. Collaboration Efficiency: Evaluates the ability of agents to work together and share information. Task Completion Rate: Tracks the percentage of tasks successfully executed by agents. Response Time: Measures the latency in agent decision-making and execution. Adaptability Index: Assesses how well agents adjust to dynamic changes in the environment. Resource Utilization Efficiency: Evaluates computational and memory usage for optimization. Explainability & Interpretability Score: Ensures transparency in agent reasoning and outputs. Error Rate & Recovery Time: Tracks failures and the system s ability to self-correct. Knowledge Retention & Utilization: Measures how effectively agents recall and apply information. Hands-on experience with LLMs such as GPT, BERT, LLaMA, Mistral, Claude, Gemini, etc. Proven expertise in both open-source (LLaMA, Gemma, Mixtral) and closed-source (OpenAI GPT, Azure OpenAI, Claude, Gemini) LLMs. Advanced skills in prompt engineering, tuning, retrieval-augmented generation (RAG), reinforcement learning (RAFT), and LLM fine-tuning (PEFT, LoRA, QLoRA). Strong understanding of small language models (SLMs) like Phi-3 and BERT, along with Transformer architectures. Experience working with text-to-image models such as Stable Diffusion, DALL E, and Midjourney. Proficiency in vector databases such as Pinecone, Qdrant for knowledge retrieval in agentic AI systems. Deep understanding of Human-Machine Interaction (HMI) frameworks within cloud and on-prem environments. Strong grasp of deep learning architectures, including CNNs, RNNs, Transformers, GANs, and VAEs. Expertise in Python, R, TensorFlow, Keras, and PyTorch. Hands-on experience with NLP tools and libraries: OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Knowledge Graphs, and LLM-based applications. Proficiency in advanced statistical methods and transformer-based text processing. Experience in reinforcement learning and planning techniques for autonomous agent behavior. Mandatory Skills: Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS Multi-agent frameworks: AutoGen, LangGraph, LangChain, CrewAI Large Language Models (LLMs): GPT,

Eightfold was founded with a vision to solve for employment in our society For decades, the connection between individuals and opportunities has been based on who the individuals are and the strength of their network, vs their potential Eightfold leverages artificial intelligence to transform how to think about skills and capabilities for individuals as well as how jobs and career decisions are made Eightfold offers the industry s first AI-powered Talent Intelligence Platform to transform how organizations plan, hire, develop and retain a diverse workforce, enabling individuals to transform their careers To date, Eightfold AI has received more than $410 million in funding and a valuation of over $2B from leading investors to further our mission of finding the right career for everyone in the world If you are passionate about solving one of the most fundamental challenges of our society - employment, working on hard business problems, and being part of an amazing growth story - Eightfold is the place to be! You may want to refer to the media coverage on TechCrunch and Reuters Eightfold ai is led by Ashutosh Garg, a PhD in Machine Learning/IIT Delhi alumni who managed Search and Personalization at Google, and Varun Kacholia- IIT Bombay alumni, who led the News Feed Ranking team at Facebook and developed YouTube Search at Google Our customers- https: / / eightfold ai / customers / customer-stories / Press - https: / / eightfold ai / about / press / About Team - Our AI/ML team is the driving force behind Eightfolds cutting-edge solutions Were a group of passionate experts who thrive on pushing the boundaries of applied machine learning We work with massive datasets, tackle complex challenges, and collaborate to create AI models that are transforming the way companies approach talent management At Eightfold, we re transforming how the world hires and grows talent through AI We re looking for a Lead Data Scientist to build scalable ML models, drive fairness in AI, and solve complex, real-world problems using diverse datasets What You ll Do: Build and deploy machine learning models that deliver business impact Develop frameworks to monitor and ensure fairness in our AI systems Analyze large, complex datasets to uncover insights and power product decisions Collaborate with cross-functional teams to translate models into production Push the boundaries of applied ML and Responsible AI What You Bring: 5+ years in Data Science roles (Senior/Lead level preferred) Strong foundation in ML, deep learning, and statistical inference Experience with Python and ML libraries (e g , scikit-learn, PyTorch, TensorFlow) Proven work with ML interpretability and fair AI practices Strong communication and a bias for ownership and impact Hybrid Work @ Eightfold: We embrace a hybrid work model that aims to boost collaboration, enhance our culture, and drive innovation through a blend of remote and in-person work Experience our comprehensive benefits with family medical, vision and dental coverage, a competitive base salary, and eligibility for equity awards and discretionary bonuses or commissions

Management Level: Ind & Func AI Decision Science Analyst Location: Bengaluru (Bangalore), Gurugram (Gurgaon), Hyderabad, Chennai. Must-have skills: Programming languages -Python/R, Generative AI, Large Language Models (LLMs), ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API, RAG Applications. Good to have skills :Big data technologies such as Spark or Hadoop,AI model explainability(XAI),bias detection and AI ethics. Familiarity with Edge AI and deploying models on embedded devices for industrial automation. Experience with Reinforcement Learning (RL) and AI-driven optimization techniques. Job Summary We are looking for a Data Scientist / AI Specialist with 1-3 years of experience to join our team and work on client projects in the Automotive & Industrial sectors. This role will involve leveraging traditional Machine Learning (ML), Generative AI (GenAI), Agentic AI, and Autonomous AI Systems to drive innovation, optimize processes, and enhance decision-making in complex industrial environments. Prior experience in the Auto/Industrial industry is a plus, but we welcome candidates from any domain with a strong analytical mindset and a passion for applying AI to real-world business challenges. Roles & Responsibilities: Develop, deploy and monitor AI/ML models in production environments & enterprise systems, including predictive analytics, anomaly detection, and process optimization for clients. Work with Generative AI models (e.g., GPT, Stable Diffusion, DALLE) for applications such as content generation, automated documentation, code synthesis, and intelligent assistants. Implement Agentic AI systems, including AI-powered automation, self-learning agents, and decision-support systems for industrial applications. Design and build Autonomous AI solutions for tasks like predictive maintenance, supply chain optimization, and robotic process automation (RPA). Work with structured and unstructured data from various sources, including IoT sensors, manufacturing logs, and customer interactions. Optimize and fine-tune LLMs (Large Language Models) for specific business applications, ensuring ethical and explainable AI use. Utilize MOps and AI orchestration tools to streamline model deployment, monitoring, and retraining cycles. Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to align AI solutions with business objectives. Stay updated with cutting-edge AI research in Generative AI, Autonomous AI, and Multi-Agent Systems. Professional & Technical Skills: 1-3 years of experience in Data Science, Machine Learning, or AI-related roles. Proficiency in Python (preferred) or R, and experience with ML libraries such as Scikit-learn, TensorFlow, Torch, Lang Chain, or OpenAI API. Strong understanding of Generative AI, Large Language Models (LLMs), and their practical applications. Hands-on experience in fine-tuning and deploying foundation models (e.g., OpenAI, Llama, Claude, Gemini, etc.). Experience with Vector Databases (e.g., FAISS, Chroma, Weaviate, Pinecone) for retrieval-augmented generation (RAG) applications. Knowledge of Autonomous AI Agents (e.g., AutoGPT, BabyAGI) and multi-agent orchestration frameworks. Experience working with SQL and NoSQL databases. Familiarity with cloud platforms (AWS, Azure, or GCP) for AI/ML model deployment. Strong problem-solving and analytical thinking abilities. Ability to communicate complex AI concepts to technical and non-technical stakeholders. Bonus:Experience in Automotive, Industrial, or Manufacturing AI applications (e.g., predictive maintenance, quality inspection, digital twins). Additional Information: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record /MBA from top-tier universities. Excellent Communication and Interpersonal Skills. About Our Company | Accenture Qualification Experience: Minimum 1-3 years of relevant Data Science, Machine Learning or AI-related roles., Exposure to Industrial & Automotive Firms or Professional Services. Educational Qualification: Bachelor/Masters degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record or MBA from top-tier universities.

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves implementing deep learning, neural networks, chatbots, and image processing in production-ready quality solutions. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of large language models in AI applications.- Research and apply cutting-edge AI techniques like deep learning and neural networks.- Design and develop AI solutions using cloud AI services.- Collaborate with cross-functional teams to integrate AI technologies into various applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Strong understanding of AI/ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Hands-on experience with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Prompt Engineering.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and training sessions to enhance team capabilities.- Monitor and evaluate the performance of AI models to ensure optimal functionality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and deployment strategies.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with data preprocessing and feature engineering techniques.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with data preprocessing and feature engineering techniques.- Familiarity with cloud platforms and services for deploying AI solutions.- Ability to work with large datasets and perform data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively and enhance their functionality. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior professionals to enhance their skills and knowledge.- Continuously evaluate and improve existing AI systems and applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead the implementation of AI/ML models.- Conduct research on emerging AI technologies.- Optimize AI algorithms for performance and scalability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse.- Strong understanding of AI and ML concepts.- Experience with cloud AI services.- Knowledge of deep learning and neural networks.- Familiarity with chatbots and image processing. Additional Information:- The candidate should have a minimum of 5 years of experience in Snowflake Data Warehouse.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Prompt Engineering Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore the integration of generative AI models into various projects, contributing to innovative solutions that may encompass deep learning, neural networks, chatbots, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the AI landscape. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and improve existing processes and workflows to enhance team efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Prompt Engineering.- Good To Have Skills: Experience with cloud-based AI services.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Experience in developing and deploying chatbots and conversational agents. Additional Information:- The candidate should have minimum 5 years of experience in Prompt Engineering.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong understanding of machine learning algorithms and their applications.- Experience with cloud platforms and services for AI deployment.- Familiarity with programming languages such as Python or R.- Ability to work with data visualization tools to present insights effectively. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with strategic goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data preprocessing techniques and feature engineering.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for deploying AI solutions.- Experience in developing and optimizing algorithms for large datasets. Additional Information:- The candidate should have minimum 7.5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models, microsoft excel, project management Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into effective solutions that address real-world challenges. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentorship within the team to enhance overall performance.- Continuously evaluate and improve existing AI models and systems to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of deep learning frameworks such as TensorFlow or PyTorch.- Experience with cloud platforms and services for deploying AI solutions.- Familiarity with data preprocessing and augmentation techniques.- Ability to design and implement APIs for AI applications. Additional Information:- The candidate should have minimum 5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Large Language Models Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, and may also explore deep learning, neural networks, chatbots, and image processing technologies. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and workflows. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Evaluate and implement new technologies and methodologies to improve project outcomes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of cloud-based AI services and their integration.- Experience with deep learning frameworks such as TensorFlow or PyTorch.- Familiarity with natural language processing techniques and tools.- Ability to design and implement scalable AI solutions. Additional Information:- The candidate should have minimum 7.5 years of experience in Large Language Models.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve collaborating with cross-functional teams to design and implement production-ready solutions, ensuring that the applications meet high-quality standards. You will also explore innovative approaches to integrate generative AI models into various projects, contributing to advancements in deep learning, neural networks, and image processing technologies. Your role will require a balance of technical expertise and creative problem-solving to address complex challenges in the field of artificial intelligence. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve existing processes and workflows. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills to interpret complex data sets.- Experience with machine learning frameworks such as TensorFlow or PyTorch.- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.- Knowledge of programming languages such as Python or R. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSECI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Role Title: Business Analytics Associate Analyst Position Summary: The Business Analysis Associate Analyst will work closely with business stakeholders, IT teams, and subject matter experts in the Global Healthcare Innovation Hub team to gather, analyze, and document business requirements for GenAI capabilities. They will translate these requirements into functional and non-functional specifications for use by IT teams in the development and integration of AI-related solutions. A minimum of two year of experience working as a business analyst or a similar role with knowledge of testing is required. Experience in GenAI and deep learning technologies being desirable. Liaise with business stakeholders, IT teams, and subject matter experts to gather, analyze, and document GenAI-related business requirements, translating them into functional and non-functional specifications for use by IT teams in the development of AI technology solutions. Collaborate with project teams to design, develop, and implement IT solutions focusing on GenAI capabilities, aligning with the organizations objectives and industry best practices. Act as a bridge between business users and IT developers, ensuring that GenAI development efforts are consistent with the business requirements and strategic goals of the organization. From a QA specific side, support the user acceptance testing process for AI-related solutions, helping to identify defects, track them to resolution, and ensure the final deliverables meet the agreed-upon requirements. Participate in ongoing monitoring and measurement of GenAI technology solutions effectiveness, providing insights and suggestions for continuous improvement. Develop and maintain documentation, such as flowcharts, use-cases, data diagrams, and user manuals, to support business stakeholders in understanding the AI features and their usage. Assist in creating project plans, timelines, and resource allocation related to GenAI initiatives, ensuring projects progress on schedule and within budget. Employ strong analytical and conceptual thinking skills to help stakeholders formulate GenAI-related requirements through interviews, workshops, and other methods. Perform testing of AI models (QA) developed as part of business requirement. Experience Required: 2+ years of experience in business, system analysis and testing, with a focus on GenAI, preferably in healthcare or a related industry. Experience Desired: Proficiency in GenAI-related business analysis methodologies, including requirements gathering, process modeling, and data analysis techniques. Strong knowledge of software development lifecycle (SDLC) methodologies for AI-related technologies, such as Agile, Scrum, or Waterfall. Experience working with IT project management tools and knowledge of AI frameworks. Experience in Jira, Confluence is a must. Proficient in common office productivity tools, such as Microsoft Office Suite, Visio, and experience with cloud services like AWS Sagemaker and Azure ML is added advantage. Technical knowledge of programming languages like C/C++, Java, Python, and understanding of database systems, IT infrastructure, and GPU optimization for AI workloads are added advantages. Excellent communication, interpersonal, and stakeholder management skills with a focus on GenAI capabilities. Relevant certifications, such as Certified Business Analysis Professional (CBAP), or AI-related credentials are a plus. Ability to design GenAI features and define user stories based on business requirements. Good understanding of the software delivery lifecycle for AI-related technologies and experience creating detailed reports and presentations. Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement: Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSECI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Role Title: Automation Engineer Senior Analyst Position Summary: We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. We leverage cutting edge Artificial Intelligence (AI) and Machine Learning (ML) algorithms to develop solutions for automated document processing and customer service chat bots. We are looking for AI Prompt Engineers with strong engineering, full stack expertise to build the best fit solutions leveraging Large Language Models (LLMs) and Generative AI solutions. Extreme focus on speed to market and getting Products and Services in the hands of customer and passion to transform healthcare is key to the success of this role. Passionate about intelligent automation tools and using the latest technologies to deliver business solutions Boundless intellectual curiosity to continually learn and explore how to do things better, faster and cheaper A “roll-up your sleeves and get the job done” mentality Enjoys speaking with customers to understand how we can best meet their needs Ability to effectively deal with change Team player and ability to collaborate well Excellent verbal and written communication skills to interact with a wide variety of stakeholders Passion to learn Takes ownership and accountability Understands when to automate and when not to Excellent abstract, analytical, problem solving and critical thinking skills. Excellent facilitation skills Comfortable working with ambiguity Ability to work as part of a high performing team in a fast paced environment Experience Required: Required 5+ Years’ experience as an analyst in software development or process engineering Prior experience working with intelligent automation tools – especially robotics Demonstrated experience with thorough problem solving and analytical skills, combined with strong business acumen Prior experience with business process automation Prior entrepreneurial or startup experience is desirable Knowledge and experience with agile development is desired Education and Training Required: Degree in Computer Science, Artificial Intelligence, or a related field. Location & Hours of Work: Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required. Equal Opportunity Statement: Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations. About Evernorth Health Services Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.

and The ideal candidate will lead AI innovation, optimize AI models for clinical decision support, medical imaging, patient engagement, and enterprise process automation. Key Responsibilities 1. Develop and deploy AI/ML solutions with a focus on healthcare AI (clinical NLP, radiology AI, predictive analytics) and enterprise AI (automation, intelligent chatbots, document processing, and knowledge management). 2. Fine-tune and optimize LLMs (GPT-4, Med-PaLM, Gemini, LLaMA, Claude) for medical and enterprise applications. 3. Implement Retrieval-Augmented Generation (RAG) to enhance AI-driven decision-making in healthcare diagnostics, patient interaction, and enterprise knowledge management. 4. Build and integrate AI-powered chatbots, virtual health assistants, and AI co-pilots to improve patient engagement and enterprise workflows. 5. Utilize vector databases (FAISS, Pinecone, Weaviate) for AI-driven clinical data retrieval and enterprise document search. 6. Deploy AI solutions using cloud AI services (AWS Bedrock, Azure OpenAI, Google Vertex AI, Hugging Face Hub) and MLOps pipelines for scalability. 7. Ensure AI solutions comply with healthcare regulations (HIPAA, GDPR, FDA AI/ML regulations) and enterprise security policies. 8. Collaborate with healthcare professionals, enterprise teams, and engineers to align AI solutions with business and medical needs. 9. Stay ahead of advancements in explainable AI (XAI), AI ethics, bias mitigation, and regulatory compliance. Required Skills & Experience 1. Exp. in AI/ML development, with expertise in GenAI, LLMs, and applied AI for Healthcare & Enterprise AI. 2. Strong proficiency in Python and frameworks such as Hugging Face Transformers, LangChain, LlamaIndex, PyTorch, TensorFlow, or JAX. 3. Hands-on experience with LLM fine-tuning, prompt engineering, and model optimization for healthcare diagnostics, medical text processing, and enterprise automation. 4. Experience in healthcare NLP (de-identification, medical summarization, clinical decision support) and enterprise AI (workflow automation, document intelligence, AI-powered search & knowledge retrieval). 5. Proficiency in MLOps, cloud AI services (AWS, GCP, Azure), and deploying AI models at scale. 6. Understanding of multi-modal AI (text, vision, audio) for medical imaging, voice AI for telemedicine, and AI-powered enterprise solutions. 7. Ability to lead AI teams, manage AI projects, and drive AI innovation for business impact. Nice to Have Experience with biomedical AI (e.g., Med-PaLM, BioGPT), federated learning for healthcare data privacy, and AI for clinical trials. Knowledge of AI compliance frameworks (FDAs Good Machine Learning Practice, AI risk management for enterprises). Familiarity with AutoML and low-code AI for rapid prototyping in enterprise AI. Contributions to open-source healthcare AI projects or AI research publications. Company overview: smartData is a leader in global software business space when it comes to business consulting and technology integrations making business easier, accessible, secure and meaningful for its target segment of startups to small & medium enterprises. As your technology partner, we provide both domain and technology consulting and our inhouse products and our unique productized service approach hehelplps us to act as business integrators saving substantial time to market for our esteemed customers. With 8000+ projects, vast experience of 20+ years, backed by offices in the US, Australia, and India, providing next door assistance and round-the-clock connectivity, we ensure continual business growth for all our customers. Our business consulting and integrator services via software solutions focus on important industries of healthcare, B2B, B2C, & B2B2C platforms, online delivery services, video platform services, and IT services. Strong expertise in Microsoft, LAMP stack, MEAN/MERN stack with mobility first approach via native (iOS, Android, Tizen) or hybrid (React Native, Flutter, Ionic, Cordova, PhoneGap) mobility stack mixed with AI & ML help us to deliver on the ongoing needs of customers continuously. For more information, visit https://www.smartdatainc.com Please share your updated CV on deepti.vyas@smartdatainc.net or call on 9664338930

Machine Learnig ,Deep Learning,Python,GenAI

Data Scientist Job Description Job Title: Data Scientist Department: Data Science / Analytics / AI Location: Hyderabad (On-site) Employment Type: Full-time Job Summary We are seeking a highly skilled Data Scientist to analyze complex data, develop predictive models, and generate actionable insights to drive business decisions. The ideal candidate will have strong expertise in statistics, machine learning, and programming , along with the ability to communicate findings effectively to stakeholders. Key Responsibilities 1. Data Analysis & Exploration Collect, clean, and preprocess large datasets from multiple sources. Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies. Apply statistical methods to interpret data and validate hypotheses. 2. Machine Learning & Predictive Modeling Design, train, and deploy machine learning models (supervised/unsupervised learning). Optimize model performance through feature engineering, hyperparameter tuning, and validation techniques. Implement algorithms for classification, regression, clustering, recommendation systems, etc. 3. Data Visualization & Reporting Create dashboards and visualizations using tools like Tableau, Power BI, or Matplotlib/Seaborn . Prepare reports and presentations to communicate insights to technical and non-technical stakeholders. 4. Big Data & Cloud Technologies Work with big data tools like Spark, Hadoop, or Databricks for scalable data processing. Deploy models on cloud platforms ( AWS, GCP, Azure ) using ML services like SageMaker, Vertex AI, or MLflow. 5. Collaboration & Business Impact Partner with cross-functional teams (engineering, product, marketing) to integrate data-driven solutions. Translate business problems into analytical frameworks and provide data-backed recommendations. 6. Continuous Learning & Innovation Stay updated with the latest advancements in AI/ML, NLP, deep learning, and generative AI. Experiment with new tools and techniques to improve data science workflows. Required Skills & Qualifications Technical Skills Programming: Python (NumPy, Pandas, Scikit-learn), R, SQL Machine Learning: Regression, Classification, Clustering, NLP, Deep Learning (TensorFlow/PyTorch) Data Tools: Jupyter Notebooks, Git, Docker, Apache Spark Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Cassandra) Cloud Platforms: AWS/GCP/Azure (S3, BigQuery, Redshift) Visualization: Tableau, Power BI, Matplotlib, Plotly Soft Skills Strong analytical and problem-solving abilities Excellent communication and storytelling with data Ability to work in a fast-paced, collaborative environment Education & Experience Bachelors/Masters/PhD in Computer Science, Statistics, Mathematics, or related field 6+ years of experience in data science, machine learning, or analytics roles Portfolio of projects (GitHub, Kaggle, research papers) is a plus Preferred Qualifications Experience with deep learning (CNN, RNN, Transformers) Knowledge of MLOps (model deployment, CI/CD pipelines) Familiarity with A/B testing and causal inference Background in NLP, LLMs (GPT, BERT), or generative AI

3-5 years of experience in company ofLabelling Data management & validation C++, python, pytorch, Tensorflow Hands on experience in C++, Python in development & validation. Professional SkillSW Domain Knowledge. Tool SkillPytorch & tensor flow Adaptability - Being able to adapt to changing environments and work processes What youll love about working here We recognize vendor by OEM Chennai as Capgemini employee. you will get an environment to maintain healthy work life balance. Have good experience in OEM experience. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Skills (competencies) C++

Key Responsibilities: Design, develop, and train deep learning models for structured and unstructured data. Fine-tune pre-trained large language models (e.g., LLaMA, Mistral, Falcon, GPT-based models) for custom use cases. Evaluate model performance using standard metrics and improve based on experimentation. Build and maintain scalable training pipelines and inference systems. Collaborate with product and research teams to convert business requirements into technical solutions. Perform data preprocessing, augmentation, and annotation where needed. Optimize model inference speed and resource efficiency (e.g., quantization, pruning). Keep up with the latest research in ML/DL and apply relevant techniques to real-world problems. Required Qualifications: B.Tech / M.Tech / MS in Computer Science, Electrical Engineering, or related field. 23 years of hands-on experience in machine learning and deep learning. Strong knowledge of Python and frameworks such as PyTorch or TensorFlow. Proven experience training deep neural networks from scratch or via transfer learning. Exposure to LLMs – fine-tuning, prompt engineering, or training smaller transformer models. Familiarity with deployment of models using FastAPI, Flask, or similar. Preferred Qualifications: Experience with Hugging Face Transformers, LangChain, or similar frameworks. Knowledge of distributed training and GPU acceleration. Understanding of vector databases and RAG (retrieval-augmented generation) systems. Basic understanding of MLOps tools like Docker, Kubernetes, and CI/CD for ML workflows. Familiarity with common NLP tasks: text classification, summarization, NER, etc. What We Offer: A fast-paced, collaborative, and intellectually challenging environment. Opportunity to work on cutting-edge AI products and infrastructure. Flexible work options and a strong focus on work-life balance. Competitive compensation and equity options (if applicable).

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the development and implementation of advanced machine learning and deep learning models. Research and Development: Stay abreast of the latest advancements in AI technologies and methodologies, conducting research and experiments to drive innovation and enhance project outcomes. Team Management: Manage and mentor a team of junior data scientists and machine learning engineers, providing technical guidance, coaching, and professional development opportunities. Collaboration: Collaborate closely with cross-functional teams, including product management, engineering, and business development, to identify opportunities for leveraging AI to solve business challenges and drive growth. Quality Assurance: Ensure the quality and accuracy of AI solutions through rigorous testing, validation, and performance monitoring. Strategic Planning: Contribute to the development of AI strategies and roadmaps, outlining key initiatives and milestones to support business objectives. Qualifications: Bachelors degree in computer science, Engineering, Mathematics, or related field. Advanced degree (Master's or Ph.D.) preferred. Minimum of 10 years of industry experience in artificial intelligence, with a focus on machine learning, deep learning, and NLP. Proven track record of leading and delivering multiple AI projects from conception to completion. Expertise in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Expertise in MLOps tools, Databricks, and AI services offered by cloud platforms such as Azure, AWS, and GCP. Experience with Generative AI and Large Language Models (LLMs) such as GPT, BERT, or Transformer models. Excellent leadership and communication skills, with the ability to effectively manage and mentor a team of junior data scientists and ML engineers. Strong analytical and problem-solving skills, with a keen attention to detail and a commitment to delivering high-quality results. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements. Location - Noida,Mumbai,Hyderabad,Kochi.

Salary : 15 to 30 LPA Exp: 3 to 6 years Location :Gurugram/Bangalore Notice: Immediate to 30 days..!! Roles & responsibilities: 3+ years exp on Python , ML and GEN AI Interact with the client to understand their requirements and communicate / brainstorm solutions. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 3+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Text classification using any of the following : decision trees, knn classification, support vector machines or LDA Exp on SQL would be a plus

Meet the Team We are seeking a highly skilled Staff Service Reliability Engineer to lead the deployment and optimization of Splunk for monitoring non-production, Engineering research and development equipment and workloads. This individual contributor role requires a strategic thinker with extensive experience in diverse IT environments and a comprehensive understanding of various hardware and operating systems, including testing equipment. Your Impact Splunk Deployment: Lead the deployment and ongoing management of Splunk to monitor non-production research and development resources in labs. Dashboard Optimization: Design and optimize dashboards to enhance data visualization and provide actionable insights. Data Feed Integration: Manage the integration of multiple data feeds into Splunk to ensure effective monitoring and analysis. AI Utilization: Leverage AI technologies to analyze alerting data, identify trends, and generate meaningful insights for operational improvements. Best Practice Implementation: Implement industry best practices in monitoring and observability to enhance system reliability and performance. Collaborative Engagement: Engage with cross-functional teams to align monitoring solutions with organizational objectives. Lead and/or participate in global cross-functional meetings and discussions. Flexible (non-India Standard Time (IST)) hours may be required. Documentation: Develop and maintain comprehensive documentation of monitoring processes and system configurations. Minimum Qualifications Experience : BE/M.tech with 14+ years of experience in managing IT systems across a range of environments with diverse hardware and operating systems. Splunk Expertise : Proven expertise in Splunk administration, including dashboard creation and data integration. Problem Solving : Strong problem-solving skills with the ability to address complex technical challenges. Communication : Excellent communication skills to effectively convey technical concepts to various stakeholders. Team Collaboration : Ability to work collaboratively with team members and contribute to a positive team dynamic. Preferred Qualifications B.E / M.Tech in Computer Science or Information Technology with 14-17 years of hands on experience Proficiency in Python with hands-on experience and exposure in developing machine learning, deep learning and data science Demonstrated expertise in Python scripting for developing, automating, and integrating scalable solutions. Proven proficiency in Java with a solid foundation in object-oriented design and application development. Extensive experience in implementing and tuning machine learning algorithms to solve complex problems. Ability to integrate machine learning models within both Python and Java-based applications for seamless functionality. Strong analytical skills with a proven track record of leveraging programming and ML techniques to drive data-driven decision making. Demonstrated proficiency in SQL for data manipulation and extraction, with a focus on optimizing complex queries for performance. Extensive experience in designing, maintaining, and scaling relational databases to support enterprise applications and machine learning workflows.