Datacurate Technologies is hiring for an FRESHER entry level Artificial Intelligence Engineer role in India

Position

• Artificial Intelligence Engineer responsible for creating advanced machine learning models and next-generation artificial intelligence applications.

Company

• Datacurate Technologies, a specialized information management and analytics consulting enterprise.

Location

• Mumbai Metropolitan Region, India, operating within a flexible hybrid work ecosystem.

Job Type

• Full-time professional engagement offering continuous career growth and technical advancement opportunities.

Job Mode

• Hybrid work arrangement combining remote flexibility with collaborative in-office teamwork.

Job Requisition ID

• Not Provided in the core posting

Years of Experience

• Entry-level scope catering to professionals with 0 to 3 years of practical industry experience.

Company Description

• Datacurate Technologies operates as a premier information management and analytics consulting firm dedicated to assisting modern enterprises in operationalizing data-driven decision-making frameworks.

• The organization leverages innovative, purpose-built solutions grounded in industry-standard products to accelerate business outcomes while systematically mitigating implementation risks.

• Emphasizing data as the core backbone of digital transformation and artificial intelligence initiatives, Datacurate focuses heavily on core pillars like data recency, quality, and robust governance.

• By applying deep domain expertise, the company supports diverse clients in optimizing their overarching data architectures to secure sustainable, long-term commercial growth and operational excellence.

• The corporate philosophy centers on modernizing how businesses view data, treating it not merely as a passive asset but as an active driver for predictive and generative intelligence applications.

• Consulting engagements managed by Datacurate bridge the gap between raw corporate data stores and high-impact executive strategies, ensuring measurable returns on technology investments.

• The enterprise maintains a specialized culture where technical practitioners collaborate closely with business stakeholders to solve complex, real-world operational challenges.

• Datacurate places high value on continuous innovation, urging its engineering teams to stay at the forefront of emerging data engineering, machine learning, and generative AI paradigms.

• The firm's operational footprint spans comprehensive analytics consulting, data warehouse modernization, predictive analytics implementation, and enterprise-grade artificial intelligence strategy development.

• Through systematic governance frameworks, Datacurate ensures that all implemented AI solutions comply with ethical standards, security protocols, and relevant data privacy regulations.

Profile Overview

• The engineering division is seeking a driven and innovative Artificial Intelligence Engineer to spearhead the creation and deployment of sophisticated machine learning models and Generative AI systems.

• Professionals stepping into this capacity will take full ownership of the end-to-end artificial intelligence and machine learning lifecycle, handling everything from initial problem framing to production rollout.

• Core functional focus areas include traditional predictive modeling frameworks such as fraud detection, customer churn analysis, credit risk evaluation, and advanced customer propensity scoring.

• In parallel, the role encompasses cutting-edge Generative AI development, focusing on intelligent virtual assistants, automated document processing pipelines, and complex large language model workflows.

• Success in this role requires translating ambiguous business problems into crisp, well-scoped technical solutions via active cross-functional collaboration with product management and data engineering teams.

• Engineers will manage comprehensive model workflows, overseeing training regimens, evaluation metrics, continuous performance monitoring, and systematic retraining strategies to prevent model drift.

• The position demands a strong foundational understanding of feature engineering methodologies, data curation practices, and the curation of high-fidelity training datasets from disparate enterprise sources.

• Candidates will actively evaluate, select, and integrate modern third-party AI tools, APIs, and frameworks like OpenAI, LangChain, and Hugging Face to accelerate solution delivery.

• A core emphasis is placed on establishing and enforcing enterprise-wide engineering standards for model explainability, bias mitigation, and responsible artificial intelligence deployment.

• The role provides a unique platform for early-career professionals and emerging specialists to work on high-stakes enterprise problems within a dynamic, fast-paced consulting environment.

Qualifications

• Candidates are expected to hold a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a closely related quantitative discipline.

• Demonstrated hands-on experience in building, training, and deploying supervised and unsupervised machine learning models geared toward classification and regression problems.

• Practical familiarity with specialized business use cases such as fraud detection systems, customer churn prediction, credit risk scoring, or comparable predictive analytics domains.

• Proven exposure to modern Generative AI technologies, including large language models, prompt engineering techniques, Retrieval-Augmented Generation architectures, and vector database management.

• Solid programming proficiency in Python, coupled with a deep working knowledge of core machine learning libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch.

• Strong conceptual and practical understanding of feature engineering principles, model evaluation metrics, and advanced strategies for handling highly imbalanced datasets.

• Familiarity with natural language processing techniques and frameworks, including spaCy and Hugging Face Transformers, for textual data extraction and text mining.

• Working knowledge of MLOps tools, version control protocols, experiment tracking utilities like MLflow and Weights & Biases, and continuous integration pipelines for machine learning code.

• Excellent analytical and problem-solving capabilities, combined with the verbal and written communication skills required to explain complex technical findings to non-technical audiences.

• Demonstrated ability to excel both independently as an individual contributor and collaboratively within a multidisciplinary, hybrid team setup.

Additional Information

• Preferred candidates may bring advantageous experience working with major cloud machine learning platforms such as Amazon Web Services SageMaker, Google Cloud Vertex AI, or Azure ML.

• Exposure to emerging agentic artificial intelligence frameworks such as LangGraph, AutoGen, or CrewAI will be considered a valuable differentiator during the evaluation process.

• Familiarity with enterprise data privacy regulations, compliance standards, and responsible AI principles relevant to financial institutions or sensitive customer data management.

• The role encourages continuous professional development, providing access to emerging tech stacks and opportunities to contribute to enterprise-level digital transformations.

• Candidates joining the team will benefit from a collaborative hybrid workspace culture designed to foster mentorship, technical creativity, and peer-to-peer knowledge sharing.

• The position offers competitive compensation structures aligned with industry benchmarks, paired with performance-oriented career progression pathways in the analytics and AI consulting sector.

• Datacurate maintains an active commitment to inclusion and diversity, welcoming passionate engineering talent from diverse educational and regional backgrounds across India.

• Applicants are encouraged to showcase practical project portfolios, GitHub repositories, or open-source contributions highlighting their competency in machine learning and generative AI.

Please click here to apply.