AIML Engineer Jobs

Key ResponsibilitiesDesign, develop, and implement machine learning models and AI solutions.Build and optimize data pipelines for model training, validation, and deployment.Analyze large datasets to identify patterns, trends, and business insights.Develop, test, and deploy predictive, classification, recommendation, and generative AI models.Monitor model performance and retrain models as needed to maintain accuracy.Collaborate with cross-functional teams to integrate AI solutions into products and business processes.Apply best practices for data quality, model governance, security, and scalability.Research and evaluate emerging AI/ML technologies, tools, and frameworks.Document model architecture, development processes, and technical specifications.Ensure AI solutions comply with ethical, legal, and organizational guidelines.

Job Title- AI / Machine Learning EngineerLocation: [Bhubaneswar]Experience: 0-1 Years.Company: VVSPL (Start-Up)Job SummaryWe are looking for a skilled AI/ML Technical Professional who can design, develop, and deploy machine learning models to solve real-world business problems. The ideal candidate should be strong in data handling, model development, and translating business requirements into scalable AI solutions.Key ResponsibilitiesDesign, build, and deploy Machine Learning & AI modelsWork on data preprocessing, feature engineering, and model trainingDevelop and optimize ML algorithms (classification, regression, clustering, NLP, etc.)Integrate AI/ML models with backend systems and APIsMonitor model performance and improve accuracy over timeCollaborate with product, software, and business teamsStay updated with latest AI/ML trends and toolsDocument models, workflows, and technical processesRequired Skills & QualificationsTechnical SkillsStrong knowledge of PythonHands-on experience with Machine Learning algorithmsExperience with TensorFlow / PyTorch / Scikit-learnGood understanding of Data Structures & AlgorithmsKnowledge of SQL / NoSQL databasesExperience in REST APIs integrationFamiliarity with cloud platforms (AWS / Azure / GCP is a plus)AI/ML ConceptsSupervised & Unsupervised LearningModel evaluation & optimizationNLP / Computer Vision (preferred but not mandatory)Data analysis & visualizationEducational QualificationB.Tech / M.Tech / MCA / MSc (CS/AI/ML)Preferred Skills (Good to Have)Experience with LLMs, Chatbots, or Generative AIKnowledge of MLOps toolsExperience in startup or product-based environmentProblem-solving mindset with business understandingWhat We OfferOpportunity to work on real-world AI productsGrowth-focused startup environmentCompetitive salary (as per experience)Learning & up skilling opportunities

Job Title: AI/ML Cybersecurity Lead Work Location: - HyderabadExperience: 5+ YearsClient: PrimeraRole Overview: As an AI/ML Cybersecurity Lead, you will be responsible for overseeing the implementation and enhancement of artificial intelligence and machine learning technologies within the cybersecurity domain. Your role will involve designing, developing, and deploying innovative AI/ML solutions to detect and mitigate cyber threats, as well as providing leadership and guidance to a team of cybersecurity professionals. Roles & Responsibilities: 1. Lead the design and development of AI/ML-based cybersecurity solutions to detect, prevent, and respond to cyber threats. 2. Collaborate with cross-functional teams to identify requirements, develop algorithms, and integrate AI/ML capabilities into existing cybersecurity systems. 3. Conduct research on emerging AI/ML techniques and technologies to stay abreast of advancements in the field and identify opportunities for improvement. 4. Evaluate and test AI/ML models to ensure accuracy, reliability, and scalability in real-world cybersecurity environments. 5. Provide technical expertise and guidance to cybersecurity analysts and engineers on AI/ML concepts, tools, and best practices. 6. Monitor and analyze cybersecurity data to identify patterns, trends, and anomalies that may indicate potential security incidents. 7. Work closely with stakeholders to understand business objectives and align AI/ML initiatives with organizational goals and priorities. 8. Stay up to date on the latest cybersecurity threats, vulnerabilities, and attack vectors to inform decision-making and enhance defensive strategies. 9. Participate in incident response activities, including investigating security incidents, conducting root cause analysis, and implementing remediation measures. 10. Communicate complex technical concepts and findings to non-technical stakeholders, including executives, clients, and regulatory bodies. Qualifications: - Bachelor

AIML Engineer Job DescriptionExp: 4+ yrsNP : Immediate / 15 daysLocation : Bhubaneswar/ Bangalore/ ChennaiPosition OverviewWe are seeking a highly skilled Artificial Intelligence & Machine Learning Engineer to design, develop, and deploy intelligent systems that solve complex business problems. The role involves applying advanced algorithms, data science techniques, and deep learning frameworks to build scalable AI solutions.Key ResponsibilitiesModel Development: Design, train, and optimize ML/DL models for predictive analytics, NLP, computer vision, and recommendation systems.Data Engineering: Collect, preprocess, and analyze large datasets to ensure quality and usability.Deployment & Integration: Implement AI models into production environments using cloud platforms (AWS, Azure, GCP).Research & Innovation: Stay updated with emerging AI/ML technologies and apply them to business challenges.Collaboration: Work closely with product managers, data scientists, and software engineers to deliver end-to-end AI solutions.Performance Monitoring: Continuously evaluate and improve deployed models for accuracy, scalability, and efficiency.Required Skills & QualificationsStrong programming skills in Python, R, Java, or C++.Expertise in ML/DL frameworks: TensorFlow, PyTorch, Keras, Scikit-learn.Solid understanding of statistics, probability, and linear algebra.Experience with cloud services: AWS SageMaker, Azure ML, Google AI Platform.Knowledge of data handling tools: SQL, Spark, Hadoop.Familiarity with NLP, computer vision, reinforcement learning.Strong problem-solving, communication, and teamwork skills.Preferred QualificationsExperience with MLOps (CI/CD pipelines for ML).Hands-on with big data technologies.Publications or contributions to AI research.Infested candidate can share CV to Rekha.C@eagledrift.com

Strong experience in Python, Hands-on experience with LLMs (GPT, Gemini, Claude, etc.) and RAG architectures.Familiarity with knowledge graphs, vector databases, and AKD techniquesProblem-solving mindset with a passion for innovation.

Job Opening: Generative AI & LLMs / Distinguished Gen AI Engineer Location: Remote Experience: 7+ yearsShare your profilestosandhya@welkinsofttech.com To apply, send your profile to sandhya@welkinsofttech.com / hr@welkinsofttech.com or connect with us here. Key Responsibilities:LLM Development: Design, fine-tune, and implement large language models (e.g., GPT, BERT, T5) for applications like personalized learning, content generation, and semantic search.Generative AI Solutions: Drive innovation with Gen AIdeveloping tools like adaptive learning paths, resume builders, and AI-written job descriptions.Machine Learning: Create predictive models and recommendation engines that align user profiles to skills and job opportunities.Token Optimization: Work with OpenAI and other services to manage token efficiency and usage costs.AI Integration: Collaborate with product and engineering teams to integrate AI features seamlessly into the Elefy platform.Data Engineering: Build and maintain robust data pipelines using Python, Node.js, and MongoDB.Data Analysis: Analyze large datasets to surface actionable insights for user engagement and platform growth.Visualization & Reporting: Build dashboards using Tableau, Power BI, or Matplotlib to communicate insights to stakeholders.Documentation: Ensure clear and comprehensive documentation for models, pipelines, and workflows. Who Were Looking For:Experience:8+ years in data science or AI, with 3+ years hands-on with LLMs or Gen AI in production settings.Proven track record of delivering ML models in scalable, real-world applications.Skills:Languages: Python (must), R, SQLFrameworks: PyTorch, TensorFlow, Hugging Face, Scikit-learnPrompt Engineering: Few-Shot Learning, Dynamic Prompting, Role Play, Chain-of-Thought (nice to have)Cloud: Azure (preferred), AWS, or GCPDatabase: MongoDB or similar NoSQL/SQL systemsKnowledge & Tools:Deep NLP & LLM expertise (e.g., GPT, BERT, T5, etc.)Containerization, APIs, CI/CD, and Azure-native cloud toolsStrong visual storytelling via Tableau, Power BI, or Python-based plotsAgile & cross-functional collaboration mindset Bonus Points:Experience with ethical AI, bias mitigation, and explain abilityFamiliarity with skill-based learning platforms or EdTech ecosystemsJoin us at Elefy and be part of a team thats reshaping the future of learning with AI.

Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress. Analyzing the ML algorithms that could be used to solve a given problem and ranking them by their success probability. Determine and refine machine learning objectives. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Ensuring that algorithms generate accurate user recommendations. Verifying data quality, and/or ensuring it via data cleaning. Supervising the data acquisition process if more data is needed. Defining validation strategies. Defining the pre-processing or feature engineering to be done on a given dataset Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Deploying models to production. Documenting machine learning processes. Keeping abreast of developments in machine learning.

Job Title: Data EngineerExperience: 6+ YearsLocation: BangaloreJob SummaryWe are seeking an experienced Data Engineer with 6+ years of experience in designing, developing, and supporting modern data engineering solutions. The ideal candidate will have strong expertise in Azure, Databricks, PySpark, SQL, Python, AI/ML, and production support. Experience in the Healthcare, Claims, or Payer domain is highly preferred.Key Skills & RequirementsData Engineering & Cloud6+ years of experience in Data Engineering.Strong hands-on experience with Microsoft Azure and Azure Data Services.Expertise in Azure Data Factory (ADF), including pipelines, triggers, monitoring, and troubleshooting.Strong experience with Azure Databricks.Hands-on experience with Delta Tables, PySpark, and Spark SQL.Experience with workflow orchestration tools such as Apache Airflow.Database & SQLExperience with Oracle and Snowflake databases.Strong understanding of SQL-based RDBMS platforms.Advanced SQL skills, including:Complex joinsQuery optimization and performance tuningAnalytical functionsProgramming & AI/MLStrong proficiency in Python (Mandatory).Knowledge of additional programming languages such as Java or Scala is preferred.Hands-on exposure to AI/ML technologies (Mandatory).Experience with AI tools, AI Builder, ML pipelines, or analytics-driven use cases.Production Support & QualityExperience in production support and issue resolution.Strong knowledge of incident management, RCA, and SLA adherence.Experience in data validation, reconciliation, and testing.Exposure to QA automation and data testing frameworks is preferred.Preferred QualificationsExperience working with Optum is preferred.Strong experience in the Healthcare, Claims, or Payer domain.Candidates with Optum experience should clearly mention the duration and role on their resume.Must-Have SkillsAzureAzure Data Factory (ADF)Databricks / PySpark / Spark SQLPythonAdvanced SQLAI/MLGood-to-Have SkillsApache AirflowOracle and SnowflakeHealthcare / Claims / Payer domainOptum experienceProduction Support & QA Automation